mirror of
https://git.mirrors.martin98.com/https://github.com/SigNoz/signoz
synced 2025-07-07 08:01:49 +08:00
67e822e23e
* feat: api for trace materialization * fix: minor changes and cleanup * fix: minor fixes * fix: update errors * fix: address comments * fix: address comments
5215 lines
182 KiB
Go
5215 lines
182 KiB
Go
package clickhouseReader
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import (
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"context"
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"database/sql"
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"encoding/json"
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"fmt"
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"math"
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"math/rand"
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"os"
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"reflect"
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"regexp"
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"sort"
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"strconv"
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"strings"
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"sync"
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"time"
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"github.com/go-kit/log"
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"github.com/go-kit/log/level"
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"github.com/google/uuid"
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"github.com/mailru/easyjson"
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"github.com/oklog/oklog/pkg/group"
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"github.com/pkg/errors"
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"github.com/prometheus/common/promlog"
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"github.com/prometheus/prometheus/config"
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"github.com/prometheus/prometheus/promql"
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"github.com/prometheus/prometheus/storage"
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"github.com/prometheus/prometheus/storage/remote"
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"github.com/prometheus/prometheus/util/stats"
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"github.com/ClickHouse/clickhouse-go/v2"
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"github.com/ClickHouse/clickhouse-go/v2/lib/driver"
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"github.com/jmoiron/sqlx"
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promModel "github.com/prometheus/common/model"
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"go.uber.org/zap"
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queryprogress "go.signoz.io/signoz/pkg/query-service/app/clickhouseReader/query_progress"
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"go.signoz.io/signoz/pkg/query-service/app/logs"
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"go.signoz.io/signoz/pkg/query-service/app/resource"
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"go.signoz.io/signoz/pkg/query-service/app/services"
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"go.signoz.io/signoz/pkg/query-service/auth"
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"go.signoz.io/signoz/pkg/query-service/common"
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"go.signoz.io/signoz/pkg/query-service/constants"
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chErrors "go.signoz.io/signoz/pkg/query-service/errors"
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am "go.signoz.io/signoz/pkg/query-service/integrations/alertManager"
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"go.signoz.io/signoz/pkg/query-service/interfaces"
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"go.signoz.io/signoz/pkg/query-service/model"
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v3 "go.signoz.io/signoz/pkg/query-service/model/v3"
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"go.signoz.io/signoz/pkg/query-service/telemetry"
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"go.signoz.io/signoz/pkg/query-service/utils"
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)
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const (
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primaryNamespace = "clickhouse"
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archiveNamespace = "clickhouse-archive"
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signozTraceDBName = "signoz_traces"
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signozHistoryDBName = "signoz_analytics"
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ruleStateHistoryTableName = "distributed_rule_state_history_v0"
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signozDurationMVTable = "distributed_durationSort"
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signozUsageExplorerTable = "distributed_usage_explorer"
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signozSpansTable = "distributed_signoz_spans"
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signozErrorIndexTable = "distributed_signoz_error_index_v2"
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signozTraceTableName = "distributed_signoz_index_v2"
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signozTraceLocalTableName = "signoz_index_v2"
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signozMetricDBName = "signoz_metrics"
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signozSampleLocalTableName = "samples_v4"
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signozSampleTableName = "distributed_samples_v4"
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signozSamplesAgg5mLocalTableName = "samples_v4_agg_5m"
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signozSamplesAgg5mTableName = "distributed_samples_v4_agg_5m"
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signozSamplesAgg30mLocalTableName = "samples_v4_agg_30m"
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signozSamplesAgg30mTableName = "distributed_samples_v4_agg_30m"
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signozExpHistLocalTableName = "exp_hist"
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signozExpHistTableName = "distributed_exp_hist"
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signozTSLocalTableNameV4 = "time_series_v4"
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signozTSTableNameV4 = "distributed_time_series_v4"
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signozTSLocalTableNameV46Hrs = "time_series_v4_6hrs"
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signozTSTableNameV46Hrs = "distributed_time_series_v4_6hrs"
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signozTSLocalTableNameV41Day = "time_series_v4_1day"
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signozTSTableNameV41Day = "distributed_time_series_v4_1day"
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signozTSLocalTableNameV41Week = "time_series_v4_1week"
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signozTSTableNameV41Week = "distributed_time_series_v4_1week"
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minTimespanForProgressiveSearch = time.Hour
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minTimespanForProgressiveSearchMargin = time.Minute
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maxProgressiveSteps = 4
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charset = "abcdefghijklmnopqrstuvwxyz" +
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"ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
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NANOSECOND = 1000000000
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)
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var (
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ErrNoOperationsTable = errors.New("no operations table supplied")
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ErrNoIndexTable = errors.New("no index table supplied")
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ErrStartTimeRequired = errors.New("start time is required for search queries")
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seededRand *rand.Rand = rand.New(
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rand.NewSource(time.Now().UnixNano()))
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)
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// SpanWriter for reading spans from ClickHouse
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type ClickHouseReader struct {
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db clickhouse.Conn
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localDB *sqlx.DB
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TraceDB string
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operationsTable string
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durationTable string
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indexTable string
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errorTable string
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usageExplorerTable string
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SpansTable string
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spanAttributeTableV2 string
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spanAttributesKeysTable string
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dependencyGraphTable string
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topLevelOperationsTable string
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logsDB string
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logsTable string
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logsLocalTable string
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logsAttributeKeys string
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logsResourceKeys string
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logsTagAttributeTableV2 string
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queryEngine *promql.Engine
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remoteStorage *remote.Storage
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fanoutStorage *storage.Storage
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queryProgressTracker queryprogress.QueryProgressTracker
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logsTableV2 string
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logsLocalTableV2 string
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logsResourceTableV2 string
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logsResourceLocalTableV2 string
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promConfigFile string
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promConfig *config.Config
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alertManager am.Manager
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featureFlags interfaces.FeatureLookup
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liveTailRefreshSeconds int
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cluster string
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useLogsNewSchema bool
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useTraceNewSchema bool
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logsTableName string
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logsLocalTableName string
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traceTableName string
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traceLocalTableName string
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traceResourceTableV3 string
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traceSummaryTable string
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}
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// NewTraceReader returns a TraceReader for the database
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func NewReader(
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localDB *sqlx.DB,
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configFile string,
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featureFlag interfaces.FeatureLookup,
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maxIdleConns int,
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maxOpenConns int,
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dialTimeout time.Duration,
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cluster string,
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useLogsNewSchema bool,
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useTraceNewSchema bool,
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) *ClickHouseReader {
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datasource := os.Getenv("ClickHouseUrl")
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options := NewOptions(datasource, maxIdleConns, maxOpenConns, dialTimeout, primaryNamespace, archiveNamespace)
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db, err := initialize(options)
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if err != nil {
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zap.L().Fatal("failed to initialize ClickHouse", zap.Error(err))
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}
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return NewReaderFromClickhouseConnection(db, options, localDB, configFile, featureFlag, cluster, useLogsNewSchema, useTraceNewSchema)
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}
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func NewReaderFromClickhouseConnection(
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db driver.Conn,
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options *Options,
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localDB *sqlx.DB,
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configFile string,
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featureFlag interfaces.FeatureLookup,
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cluster string,
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useLogsNewSchema bool,
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useTraceNewSchema bool,
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) *ClickHouseReader {
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alertManager, err := am.New()
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if err != nil {
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zap.L().Error("failed to initialize alert manager", zap.Error(err))
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zap.L().Error("check if the alert manager URL is correctly set and valid")
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os.Exit(1)
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}
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regex := os.Getenv("ClickHouseOptimizeReadInOrderRegex")
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var regexCompiled *regexp.Regexp
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if regex != "" {
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regexCompiled, err = regexp.Compile(regex)
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if err != nil {
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zap.L().Error("Incorrect regex for ClickHouseOptimizeReadInOrderRegex")
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os.Exit(1)
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}
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}
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wrap := clickhouseConnWrapper{
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conn: db,
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settings: ClickhouseQuerySettings{
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MaxExecutionTime: os.Getenv("ClickHouseMaxExecutionTime"),
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MaxExecutionTimeLeaf: os.Getenv("ClickHouseMaxExecutionTimeLeaf"),
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TimeoutBeforeCheckingExecutionSpeed: os.Getenv("ClickHouseTimeoutBeforeCheckingExecutionSpeed"),
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MaxBytesToRead: os.Getenv("ClickHouseMaxBytesToRead"),
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OptimizeReadInOrderRegex: os.Getenv("ClickHouseOptimizeReadInOrderRegex"),
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OptimizeReadInOrderRegexCompiled: regexCompiled,
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},
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}
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logsTableName := options.primary.LogsTable
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logsLocalTableName := options.primary.LogsLocalTable
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if useLogsNewSchema {
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logsTableName = options.primary.LogsTableV2
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logsLocalTableName = options.primary.LogsLocalTableV2
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}
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traceTableName := options.primary.IndexTable
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traceLocalTableName := options.primary.LocalIndexTable
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if useTraceNewSchema {
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traceTableName = options.primary.TraceIndexTableV3
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traceLocalTableName = options.primary.TraceLocalTableNameV3
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}
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return &ClickHouseReader{
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db: wrap,
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localDB: localDB,
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TraceDB: options.primary.TraceDB,
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alertManager: alertManager,
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operationsTable: options.primary.OperationsTable,
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indexTable: options.primary.IndexTable,
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errorTable: options.primary.ErrorTable,
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usageExplorerTable: options.primary.UsageExplorerTable,
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durationTable: options.primary.DurationTable,
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SpansTable: options.primary.SpansTable,
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spanAttributeTableV2: options.primary.SpanAttributeTableV2,
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spanAttributesKeysTable: options.primary.SpanAttributeKeysTable,
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dependencyGraphTable: options.primary.DependencyGraphTable,
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topLevelOperationsTable: options.primary.TopLevelOperationsTable,
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logsDB: options.primary.LogsDB,
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logsTable: options.primary.LogsTable,
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logsLocalTable: options.primary.LogsLocalTable,
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logsAttributeKeys: options.primary.LogsAttributeKeysTable,
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logsResourceKeys: options.primary.LogsResourceKeysTable,
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logsTagAttributeTableV2: options.primary.LogsTagAttributeTableV2,
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liveTailRefreshSeconds: options.primary.LiveTailRefreshSeconds,
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promConfigFile: configFile,
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featureFlags: featureFlag,
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cluster: cluster,
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queryProgressTracker: queryprogress.NewQueryProgressTracker(),
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useLogsNewSchema: useLogsNewSchema,
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useTraceNewSchema: useTraceNewSchema,
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logsTableV2: options.primary.LogsTableV2,
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logsLocalTableV2: options.primary.LogsLocalTableV2,
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logsResourceTableV2: options.primary.LogsResourceTableV2,
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logsResourceLocalTableV2: options.primary.LogsResourceLocalTableV2,
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logsTableName: logsTableName,
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logsLocalTableName: logsLocalTableName,
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traceLocalTableName: traceLocalTableName,
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traceTableName: traceTableName,
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traceResourceTableV3: options.primary.TraceResourceTableV3,
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traceSummaryTable: options.primary.TraceSummaryTable,
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}
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}
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func (r *ClickHouseReader) Start(readerReady chan bool) {
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logLevel := promlog.AllowedLevel{}
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logLevel.Set("debug")
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allowedFormat := promlog.AllowedFormat{}
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allowedFormat.Set("logfmt")
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promlogConfig := promlog.Config{
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Level: &logLevel,
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Format: &allowedFormat,
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}
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logger := promlog.New(&promlogConfig)
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startTime := func() (int64, error) {
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return int64(promModel.Latest), nil
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}
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remoteStorage := remote.NewStorage(
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log.With(logger, "component", "remote"),
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nil,
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startTime,
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"",
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time.Duration(1*time.Minute),
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nil,
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false,
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)
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cfg := struct {
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configFile string
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localStoragePath string
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lookbackDelta promModel.Duration
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webTimeout promModel.Duration
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queryTimeout promModel.Duration
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queryConcurrency int
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queryMaxSamples int
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RemoteFlushDeadline promModel.Duration
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prometheusURL string
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logLevel promlog.AllowedLevel
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}{
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configFile: r.promConfigFile,
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}
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fanoutStorage := storage.NewFanout(logger, remoteStorage)
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opts := promql.EngineOpts{
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Logger: log.With(logger, "component", "query engine"),
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Reg: nil,
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MaxSamples: 50000000,
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Timeout: time.Duration(2 * time.Minute),
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ActiveQueryTracker: promql.NewActiveQueryTracker(
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"",
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20,
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log.With(logger, "component", "activeQueryTracker"),
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),
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}
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queryEngine := promql.NewEngine(opts)
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reloaders := []func(cfg *config.Config) error{
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remoteStorage.ApplyConfig,
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}
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// sync.Once is used to make sure we can close the channel at different execution stages(SIGTERM or when the config is loaded).
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type closeOnce struct {
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C chan struct{}
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once sync.Once
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Close func()
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}
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// Wait until the server is ready to handle reloading.
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reloadReady := &closeOnce{
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C: make(chan struct{}),
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}
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reloadReady.Close = func() {
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reloadReady.once.Do(func() {
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close(reloadReady.C)
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})
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}
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var g group.Group
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{
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// Initial configuration loading.
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cancel := make(chan struct{})
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g.Add(
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func() error {
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var err error
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r.promConfig, err = reloadConfig(cfg.configFile, logger, reloaders...)
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if err != nil {
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return fmt.Errorf("error loading config from %q: %s", cfg.configFile, err)
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}
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reloadReady.Close()
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<-cancel
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return nil
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},
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func(err error) {
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close(cancel)
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},
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)
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}
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r.queryEngine = queryEngine
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r.remoteStorage = remoteStorage
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r.fanoutStorage = &fanoutStorage
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readerReady <- true
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if err := g.Run(); err != nil {
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level.Error(logger).Log("err", err)
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os.Exit(1)
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}
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}
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func (r *ClickHouseReader) GetQueryEngine() *promql.Engine {
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return r.queryEngine
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}
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func (r *ClickHouseReader) GetFanoutStorage() *storage.Storage {
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return r.fanoutStorage
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}
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func reloadConfig(filename string, logger log.Logger, rls ...func(*config.Config) error) (promConfig *config.Config, err error) {
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level.Info(logger).Log("msg", "Loading configuration file", "filename", filename)
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conf, err := config.LoadFile(filename, false, false, logger)
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if err != nil {
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return nil, fmt.Errorf("couldn't load configuration (--config.file=%q): %v", filename, err)
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}
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failed := false
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for _, rl := range rls {
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if err := rl(conf); err != nil {
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level.Error(logger).Log("msg", "Failed to apply configuration", "err", err)
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failed = true
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}
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}
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if failed {
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return nil, fmt.Errorf("one or more errors occurred while applying the new configuration (--config.file=%q)", filename)
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}
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level.Info(logger).Log("msg", "Completed loading of configuration file", "filename", filename)
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return conf, nil
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}
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func initialize(options *Options) (clickhouse.Conn, error) {
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db, err := connect(options.getPrimary())
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if err != nil {
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return nil, fmt.Errorf("error connecting to primary db: %v", err)
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}
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return db, nil
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}
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func connect(cfg *namespaceConfig) (clickhouse.Conn, error) {
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if cfg.Encoding != EncodingJSON && cfg.Encoding != EncodingProto {
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return nil, fmt.Errorf("unknown encoding %q, supported: %q, %q", cfg.Encoding, EncodingJSON, EncodingProto)
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}
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return cfg.Connector(cfg)
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}
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|
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func (r *ClickHouseReader) GetConn() clickhouse.Conn {
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return r.db
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}
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func (r *ClickHouseReader) GetInstantQueryMetricsResult(ctx context.Context, queryParams *model.InstantQueryMetricsParams) (*promql.Result, *stats.QueryStats, *model.ApiError) {
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qry, err := r.queryEngine.NewInstantQuery(ctx, r.remoteStorage, nil, queryParams.Query, queryParams.Time)
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if err != nil {
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return nil, nil, &model.ApiError{Typ: model.ErrorBadData, Err: err}
|
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}
|
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res := qry.Exec(ctx)
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// Optional stats field in response if parameter "stats" is not empty.
|
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var qs stats.QueryStats
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if queryParams.Stats != "" {
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qs = stats.NewQueryStats(qry.Stats())
|
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}
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qry.Close()
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return res, &qs, nil
|
|
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}
|
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|
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func (r *ClickHouseReader) GetQueryRangeResult(ctx context.Context, query *model.QueryRangeParams) (*promql.Result, *stats.QueryStats, *model.ApiError) {
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qry, err := r.queryEngine.NewRangeQuery(ctx, r.remoteStorage, nil, query.Query, query.Start, query.End, query.Step)
|
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|
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if err != nil {
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return nil, nil, &model.ApiError{Typ: model.ErrorBadData, Err: err}
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}
|
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|
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res := qry.Exec(ctx)
|
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|
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// Optional stats field in response if parameter "stats" is not empty.
|
|
var qs stats.QueryStats
|
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if query.Stats != "" {
|
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qs = stats.NewQueryStats(qry.Stats())
|
|
}
|
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|
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qry.Close()
|
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return res, &qs, nil
|
|
}
|
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|
|
func (r *ClickHouseReader) GetServicesList(ctx context.Context) (*[]string, error) {
|
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|
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services := []string{}
|
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query := fmt.Sprintf(`SELECT DISTINCT serviceName FROM %s.%s WHERE toDate(timestamp) > now() - INTERVAL 1 DAY`, r.TraceDB, r.traceTableName)
|
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|
|
if r.useTraceNewSchema {
|
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query = fmt.Sprintf(`SELECT DISTINCT serviceName FROM %s.%s WHERE ts_bucket_start > (toUnixTimestamp(now() - INTERVAL 1 DAY) - 1800) AND toDate(timestamp) > now() - INTERVAL 1 DAY`, r.TraceDB, r.traceTableName)
|
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}
|
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|
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rows, err := r.db.Query(ctx, query)
|
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|
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zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, fmt.Errorf("error in processing sql query")
|
|
}
|
|
|
|
defer rows.Close()
|
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for rows.Next() {
|
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var serviceName string
|
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if err := rows.Scan(&serviceName); err != nil {
|
|
return &services, err
|
|
}
|
|
services = append(services, serviceName)
|
|
}
|
|
return &services, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTopLevelOperations(ctx context.Context, skipConfig *model.SkipConfig, start, end time.Time, services []string) (*map[string][]string, *model.ApiError) {
|
|
|
|
start = start.In(time.UTC)
|
|
|
|
// The `top_level_operations` that have `time` >= start
|
|
operations := map[string][]string{}
|
|
// We can't use the `end` because the `top_level_operations` table has the most recent instances of the operations
|
|
// We can only use the `start` time to filter the operations
|
|
query := fmt.Sprintf(`SELECT name, serviceName, max(time) as ts FROM %s.%s WHERE time >= @start`, r.TraceDB, r.topLevelOperationsTable)
|
|
if len(services) > 0 {
|
|
query += ` AND serviceName IN @services`
|
|
}
|
|
query += ` GROUP BY name, serviceName ORDER BY ts DESC LIMIT 5000`
|
|
|
|
rows, err := r.db.Query(ctx, query, clickhouse.Named("start", start), clickhouse.Named("services", services))
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
|
|
defer rows.Close()
|
|
for rows.Next() {
|
|
var name, serviceName string
|
|
var t time.Time
|
|
if err := rows.Scan(&name, &serviceName, &t); err != nil {
|
|
return nil, &model.ApiError{Typ: model.ErrorInternal, Err: fmt.Errorf("error in reading data")}
|
|
}
|
|
if _, ok := operations[serviceName]; !ok {
|
|
operations[serviceName] = []string{"overflow_operation"}
|
|
}
|
|
if skipConfig.ShouldSkip(serviceName, name) {
|
|
continue
|
|
}
|
|
operations[serviceName] = append(operations[serviceName], name)
|
|
}
|
|
return &operations, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) buildResourceSubQuery(tags []model.TagQueryParam, svc string, start, end time.Time) (string, error) {
|
|
// assuming all will be resource attributes.
|
|
// and resource attributes are string for traces
|
|
filterSet := v3.FilterSet{}
|
|
for _, tag := range tags {
|
|
// skip the collector id as we don't add it to traces
|
|
if tag.Key == "signoz.collector.id" {
|
|
continue
|
|
}
|
|
key := v3.AttributeKey{
|
|
Key: tag.Key,
|
|
DataType: v3.AttributeKeyDataTypeString,
|
|
Type: v3.AttributeKeyTypeResource,
|
|
}
|
|
|
|
it := v3.FilterItem{
|
|
Key: key,
|
|
}
|
|
|
|
// as of now only in and not in are supported
|
|
switch tag.Operator {
|
|
case model.NotInOperator:
|
|
it.Operator = v3.FilterOperatorNotIn
|
|
it.Value = tag.StringValues
|
|
case model.InOperator:
|
|
it.Operator = v3.FilterOperatorIn
|
|
it.Value = tag.StringValues
|
|
default:
|
|
return "", fmt.Errorf("operator %s not supported", tag.Operator)
|
|
}
|
|
|
|
filterSet.Items = append(filterSet.Items, it)
|
|
}
|
|
filterSet.Items = append(filterSet.Items, v3.FilterItem{
|
|
Key: v3.AttributeKey{
|
|
Key: "service.name",
|
|
DataType: v3.AttributeKeyDataTypeString,
|
|
Type: v3.AttributeKeyTypeResource,
|
|
},
|
|
Operator: v3.FilterOperatorEqual,
|
|
Value: svc,
|
|
})
|
|
|
|
resourceSubQuery, err := resource.BuildResourceSubQuery(
|
|
r.TraceDB,
|
|
r.traceResourceTableV3,
|
|
start.Unix()-1800,
|
|
end.Unix(),
|
|
&filterSet,
|
|
[]v3.AttributeKey{},
|
|
v3.AttributeKey{},
|
|
false)
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return "", err
|
|
}
|
|
return resourceSubQuery, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetServicesV2(ctx context.Context, queryParams *model.GetServicesParams, skipConfig *model.SkipConfig) (*[]model.ServiceItem, *model.ApiError) {
|
|
|
|
if r.indexTable == "" {
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: ErrNoIndexTable}
|
|
}
|
|
|
|
topLevelOps, apiErr := r.GetTopLevelOperations(ctx, skipConfig, *queryParams.Start, *queryParams.End, nil)
|
|
if apiErr != nil {
|
|
return nil, apiErr
|
|
}
|
|
|
|
serviceItems := []model.ServiceItem{}
|
|
var wg sync.WaitGroup
|
|
// limit the number of concurrent queries to not overload the clickhouse server
|
|
sem := make(chan struct{}, 10)
|
|
var mtx sync.RWMutex
|
|
|
|
for svc, ops := range *topLevelOps {
|
|
sem <- struct{}{}
|
|
wg.Add(1)
|
|
go func(svc string, ops []string) {
|
|
defer wg.Done()
|
|
defer func() { <-sem }()
|
|
var serviceItem model.ServiceItem
|
|
var numErrors uint64
|
|
|
|
// Even if the total number of operations within the time range is less and the all
|
|
// the top level operations are high, we want to warn to let user know the issue
|
|
// with the instrumentation
|
|
serviceItem.DataWarning = model.DataWarning{
|
|
TopLevelOps: (*topLevelOps)[svc],
|
|
}
|
|
|
|
// default max_query_size = 262144
|
|
// Let's assume the average size of the item in `ops` is 50 bytes
|
|
// We can have 262144/50 = 5242 items in the `ops` array
|
|
// Although we have make it as big as 5k, We cap the number of items
|
|
// in the `ops` array to 1500
|
|
|
|
ops = ops[:int(math.Min(1500, float64(len(ops))))]
|
|
|
|
query := fmt.Sprintf(
|
|
`SELECT
|
|
quantile(0.99)(durationNano) as p99,
|
|
avg(durationNano) as avgDuration,
|
|
count(*) as numCalls
|
|
FROM %s.%s
|
|
WHERE serviceName = @serviceName AND name In @names AND timestamp>= @start AND timestamp<= @end`,
|
|
r.TraceDB, r.traceTableName,
|
|
)
|
|
errorQuery := fmt.Sprintf(
|
|
`SELECT
|
|
count(*) as numErrors
|
|
FROM %s.%s
|
|
WHERE serviceName = @serviceName AND name In @names AND timestamp>= @start AND timestamp<= @end AND statusCode=2`,
|
|
r.TraceDB, r.traceTableName,
|
|
)
|
|
|
|
args := []interface{}{}
|
|
args = append(args,
|
|
clickhouse.Named("start", strconv.FormatInt(queryParams.Start.UnixNano(), 10)),
|
|
clickhouse.Named("end", strconv.FormatInt(queryParams.End.UnixNano(), 10)),
|
|
clickhouse.Named("serviceName", svc),
|
|
clickhouse.Named("names", ops),
|
|
)
|
|
|
|
resourceSubQuery, err := r.buildResourceSubQuery(queryParams.Tags, svc, *queryParams.Start, *queryParams.End)
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return
|
|
}
|
|
query += `
|
|
AND (
|
|
resource_fingerprint GLOBAL IN ` +
|
|
resourceSubQuery +
|
|
`) AND ts_bucket_start >= @start_bucket AND ts_bucket_start <= @end_bucket`
|
|
|
|
args = append(args,
|
|
clickhouse.Named("start_bucket", strconv.FormatInt(queryParams.Start.Unix()-1800, 10)),
|
|
clickhouse.Named("end_bucket", strconv.FormatInt(queryParams.End.Unix(), 10)),
|
|
)
|
|
|
|
err = r.db.QueryRow(
|
|
ctx,
|
|
query,
|
|
args...,
|
|
).ScanStruct(&serviceItem)
|
|
|
|
if serviceItem.NumCalls == 0 {
|
|
return
|
|
}
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return
|
|
}
|
|
|
|
errorQuery += `
|
|
AND (
|
|
resource_fingerprint GLOBAL IN ` +
|
|
resourceSubQuery +
|
|
`) AND ts_bucket_start >= @start_bucket AND ts_bucket_start <= @end_bucket`
|
|
|
|
err = r.db.QueryRow(ctx, errorQuery, args...).Scan(&numErrors)
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return
|
|
}
|
|
|
|
serviceItem.ServiceName = svc
|
|
serviceItem.NumErrors = numErrors
|
|
mtx.Lock()
|
|
serviceItems = append(serviceItems, serviceItem)
|
|
mtx.Unlock()
|
|
}(svc, ops)
|
|
}
|
|
wg.Wait()
|
|
|
|
for idx := range serviceItems {
|
|
serviceItems[idx].CallRate = float64(serviceItems[idx].NumCalls) / float64(queryParams.Period)
|
|
serviceItems[idx].ErrorRate = float64(serviceItems[idx].NumErrors) * 100 / float64(serviceItems[idx].NumCalls)
|
|
}
|
|
return &serviceItems, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetServices(ctx context.Context, queryParams *model.GetServicesParams, skipConfig *model.SkipConfig) (*[]model.ServiceItem, *model.ApiError) {
|
|
if r.useTraceNewSchema {
|
|
return r.GetServicesV2(ctx, queryParams, skipConfig)
|
|
}
|
|
|
|
if r.indexTable == "" {
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: ErrNoIndexTable}
|
|
}
|
|
|
|
topLevelOps, apiErr := r.GetTopLevelOperations(ctx, skipConfig, *queryParams.Start, *queryParams.End, nil)
|
|
if apiErr != nil {
|
|
return nil, apiErr
|
|
}
|
|
|
|
serviceItems := []model.ServiceItem{}
|
|
var wg sync.WaitGroup
|
|
// limit the number of concurrent queries to not overload the clickhouse server
|
|
sem := make(chan struct{}, 10)
|
|
var mtx sync.RWMutex
|
|
|
|
for svc, ops := range *topLevelOps {
|
|
sem <- struct{}{}
|
|
wg.Add(1)
|
|
go func(svc string, ops []string) {
|
|
defer wg.Done()
|
|
defer func() { <-sem }()
|
|
var serviceItem model.ServiceItem
|
|
var numErrors uint64
|
|
|
|
// Even if the total number of operations within the time range is less and the all
|
|
// the top level operations are high, we want to warn to let user know the issue
|
|
// with the instrumentation
|
|
serviceItem.DataWarning = model.DataWarning{
|
|
TopLevelOps: (*topLevelOps)[svc],
|
|
}
|
|
|
|
// default max_query_size = 262144
|
|
// Let's assume the average size of the item in `ops` is 50 bytes
|
|
// We can have 262144/50 = 5242 items in the `ops` array
|
|
// Although we have make it as big as 5k, We cap the number of items
|
|
// in the `ops` array to 1500
|
|
|
|
ops = ops[:int(math.Min(1500, float64(len(ops))))]
|
|
|
|
query := fmt.Sprintf(
|
|
`SELECT
|
|
quantile(0.99)(durationNano) as p99,
|
|
avg(durationNano) as avgDuration,
|
|
count(*) as numCalls
|
|
FROM %s.%s
|
|
WHERE serviceName = @serviceName AND name In @names AND timestamp>= @start AND timestamp<= @end`,
|
|
r.TraceDB, r.indexTable,
|
|
)
|
|
errorQuery := fmt.Sprintf(
|
|
`SELECT
|
|
count(*) as numErrors
|
|
FROM %s.%s
|
|
WHERE serviceName = @serviceName AND name In @names AND timestamp>= @start AND timestamp<= @end AND statusCode=2`,
|
|
r.TraceDB, r.indexTable,
|
|
)
|
|
|
|
args := []interface{}{}
|
|
args = append(args,
|
|
clickhouse.Named("start", strconv.FormatInt(queryParams.Start.UnixNano(), 10)),
|
|
clickhouse.Named("end", strconv.FormatInt(queryParams.End.UnixNano(), 10)),
|
|
clickhouse.Named("serviceName", svc),
|
|
clickhouse.Named("names", ops),
|
|
)
|
|
// create TagQuery from TagQueryParams
|
|
tags := createTagQueryFromTagQueryParams(queryParams.Tags)
|
|
subQuery, argsSubQuery, errStatus := buildQueryWithTagParams(ctx, tags)
|
|
query += subQuery
|
|
args = append(args, argsSubQuery...)
|
|
if errStatus != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(errStatus))
|
|
return
|
|
}
|
|
err := r.db.QueryRow(
|
|
ctx,
|
|
query,
|
|
args...,
|
|
).ScanStruct(&serviceItem)
|
|
|
|
if serviceItem.NumCalls == 0 {
|
|
return
|
|
}
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return
|
|
}
|
|
subQuery, argsSubQuery, errStatus = buildQueryWithTagParams(ctx, tags)
|
|
if errStatus != nil {
|
|
zap.L().Error("Error building query with tag params", zap.Error(errStatus))
|
|
return
|
|
}
|
|
errorQuery += subQuery
|
|
args = append(args, argsSubQuery...)
|
|
err = r.db.QueryRow(ctx, errorQuery, args...).Scan(&numErrors)
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return
|
|
}
|
|
|
|
serviceItem.ServiceName = svc
|
|
serviceItem.NumErrors = numErrors
|
|
mtx.Lock()
|
|
serviceItems = append(serviceItems, serviceItem)
|
|
mtx.Unlock()
|
|
}(svc, ops)
|
|
}
|
|
wg.Wait()
|
|
|
|
for idx := range serviceItems {
|
|
serviceItems[idx].CallRate = float64(serviceItems[idx].NumCalls) / float64(queryParams.Period)
|
|
serviceItems[idx].ErrorRate = float64(serviceItems[idx].NumErrors) * 100 / float64(serviceItems[idx].NumCalls)
|
|
}
|
|
return &serviceItems, nil
|
|
}
|
|
|
|
func getStatusFilters(query string, statusParams []string, excludeMap map[string]struct{}) string {
|
|
|
|
// status can only be two and if both are selected than they are equivalent to none selected
|
|
if _, ok := excludeMap["status"]; ok {
|
|
if len(statusParams) == 1 {
|
|
if statusParams[0] == "error" {
|
|
query += " AND hasError = false"
|
|
} else if statusParams[0] == "ok" {
|
|
query += " AND hasError = true"
|
|
}
|
|
}
|
|
} else if len(statusParams) == 1 {
|
|
if statusParams[0] == "error" {
|
|
query += " AND hasError = true"
|
|
} else if statusParams[0] == "ok" {
|
|
query += " AND hasError = false"
|
|
}
|
|
}
|
|
return query
|
|
}
|
|
|
|
func createTagQueryFromTagQueryParams(queryParams []model.TagQueryParam) []model.TagQuery {
|
|
tags := []model.TagQuery{}
|
|
for _, tag := range queryParams {
|
|
if len(tag.StringValues) > 0 {
|
|
tags = append(tags, model.NewTagQueryString(tag))
|
|
}
|
|
if len(tag.NumberValues) > 0 {
|
|
tags = append(tags, model.NewTagQueryNumber(tag))
|
|
}
|
|
if len(tag.BoolValues) > 0 {
|
|
tags = append(tags, model.NewTagQueryBool(tag))
|
|
}
|
|
}
|
|
return tags
|
|
}
|
|
|
|
func StringWithCharset(length int, charset string) string {
|
|
b := make([]byte, length)
|
|
for i := range b {
|
|
b[i] = charset[seededRand.Intn(len(charset))]
|
|
}
|
|
return string(b)
|
|
}
|
|
|
|
func String(length int) string {
|
|
return StringWithCharset(length, charset)
|
|
}
|
|
|
|
func buildQueryWithTagParams(_ context.Context, tags []model.TagQuery) (string, []interface{}, *model.ApiError) {
|
|
query := ""
|
|
var args []interface{}
|
|
for _, item := range tags {
|
|
var subQuery string
|
|
var argsSubQuery []interface{}
|
|
tagMapType := item.GetTagMapColumn()
|
|
switch item.GetOperator() {
|
|
case model.EqualOperator:
|
|
subQuery, argsSubQuery = addArithmeticOperator(item, tagMapType, "=")
|
|
case model.NotEqualOperator:
|
|
subQuery, argsSubQuery = addArithmeticOperator(item, tagMapType, "!=")
|
|
case model.LessThanOperator:
|
|
subQuery, argsSubQuery = addArithmeticOperator(item, tagMapType, "<")
|
|
case model.GreaterThanOperator:
|
|
subQuery, argsSubQuery = addArithmeticOperator(item, tagMapType, ">")
|
|
case model.InOperator:
|
|
subQuery, argsSubQuery = addInOperator(item, tagMapType, false)
|
|
case model.NotInOperator:
|
|
subQuery, argsSubQuery = addInOperator(item, tagMapType, true)
|
|
case model.LessThanEqualOperator:
|
|
subQuery, argsSubQuery = addArithmeticOperator(item, tagMapType, "<=")
|
|
case model.GreaterThanEqualOperator:
|
|
subQuery, argsSubQuery = addArithmeticOperator(item, tagMapType, ">=")
|
|
case model.ContainsOperator:
|
|
subQuery, argsSubQuery = addContainsOperator(item, tagMapType, false)
|
|
case model.NotContainsOperator:
|
|
subQuery, argsSubQuery = addContainsOperator(item, tagMapType, true)
|
|
case model.StartsWithOperator:
|
|
subQuery, argsSubQuery = addStartsWithOperator(item, tagMapType, false)
|
|
case model.NotStartsWithOperator:
|
|
subQuery, argsSubQuery = addStartsWithOperator(item, tagMapType, true)
|
|
case model.ExistsOperator:
|
|
subQuery, argsSubQuery = addExistsOperator(item, tagMapType, false)
|
|
case model.NotExistsOperator:
|
|
subQuery, argsSubQuery = addExistsOperator(item, tagMapType, true)
|
|
default:
|
|
return "", nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("filter operator %s not supported", item.GetOperator())}
|
|
}
|
|
query += subQuery
|
|
args = append(args, argsSubQuery...)
|
|
}
|
|
return query, args, nil
|
|
}
|
|
|
|
func addInOperator(item model.TagQuery, tagMapType string, not bool) (string, []interface{}) {
|
|
values := item.GetValues()
|
|
args := []interface{}{}
|
|
notStr := ""
|
|
if not {
|
|
notStr = "NOT"
|
|
}
|
|
tagValuePair := []string{}
|
|
for _, value := range values {
|
|
tagKey := "inTagKey" + String(5)
|
|
tagValue := "inTagValue" + String(5)
|
|
tagValuePair = append(tagValuePair, fmt.Sprintf("%s[@%s] = @%s", tagMapType, tagKey, tagValue))
|
|
args = append(args, clickhouse.Named(tagKey, item.GetKey()))
|
|
args = append(args, clickhouse.Named(tagValue, value))
|
|
}
|
|
return fmt.Sprintf(" AND %s (%s)", notStr, strings.Join(tagValuePair, " OR ")), args
|
|
}
|
|
|
|
func addContainsOperator(item model.TagQuery, tagMapType string, not bool) (string, []interface{}) {
|
|
values := item.GetValues()
|
|
args := []interface{}{}
|
|
notStr := ""
|
|
if not {
|
|
notStr = "NOT"
|
|
}
|
|
tagValuePair := []string{}
|
|
for _, value := range values {
|
|
tagKey := "containsTagKey" + String(5)
|
|
tagValue := "containsTagValue" + String(5)
|
|
tagValuePair = append(tagValuePair, fmt.Sprintf("%s[@%s] ILIKE @%s", tagMapType, tagKey, tagValue))
|
|
args = append(args, clickhouse.Named(tagKey, item.GetKey()))
|
|
args = append(args, clickhouse.Named(tagValue, "%"+fmt.Sprintf("%v", value)+"%"))
|
|
}
|
|
return fmt.Sprintf(" AND %s (%s)", notStr, strings.Join(tagValuePair, " OR ")), args
|
|
}
|
|
|
|
func addStartsWithOperator(item model.TagQuery, tagMapType string, not bool) (string, []interface{}) {
|
|
values := item.GetValues()
|
|
args := []interface{}{}
|
|
notStr := ""
|
|
if not {
|
|
notStr = "NOT"
|
|
}
|
|
tagValuePair := []string{}
|
|
for _, value := range values {
|
|
tagKey := "startsWithTagKey" + String(5)
|
|
tagValue := "startsWithTagValue" + String(5)
|
|
tagValuePair = append(tagValuePair, fmt.Sprintf("%s[@%s] ILIKE @%s", tagMapType, tagKey, tagValue))
|
|
args = append(args, clickhouse.Named(tagKey, item.GetKey()))
|
|
args = append(args, clickhouse.Named(tagValue, "%"+fmt.Sprintf("%v", value)+"%"))
|
|
}
|
|
return fmt.Sprintf(" AND %s (%s)", notStr, strings.Join(tagValuePair, " OR ")), args
|
|
}
|
|
|
|
func addArithmeticOperator(item model.TagQuery, tagMapType string, operator string) (string, []interface{}) {
|
|
values := item.GetValues()
|
|
args := []interface{}{}
|
|
tagValuePair := []string{}
|
|
for _, value := range values {
|
|
tagKey := "arithmeticTagKey" + String(5)
|
|
tagValue := "arithmeticTagValue" + String(5)
|
|
tagValuePair = append(tagValuePair, fmt.Sprintf("%s[@%s] %s @%s", tagMapType, tagKey, operator, tagValue))
|
|
args = append(args, clickhouse.Named(tagKey, item.GetKey()))
|
|
args = append(args, clickhouse.Named(tagValue, value))
|
|
}
|
|
return fmt.Sprintf(" AND (%s)", strings.Join(tagValuePair, " OR ")), args
|
|
}
|
|
|
|
func addExistsOperator(item model.TagQuery, tagMapType string, not bool) (string, []interface{}) {
|
|
values := item.GetValues()
|
|
notStr := ""
|
|
if not {
|
|
notStr = "NOT"
|
|
}
|
|
args := []interface{}{}
|
|
tagOperatorPair := []string{}
|
|
for range values {
|
|
tagKey := "existsTagKey" + String(5)
|
|
tagOperatorPair = append(tagOperatorPair, fmt.Sprintf("mapContains(%s, @%s)", tagMapType, tagKey))
|
|
args = append(args, clickhouse.Named(tagKey, item.GetKey()))
|
|
}
|
|
return fmt.Sprintf(" AND %s (%s)", notStr, strings.Join(tagOperatorPair, " OR ")), args
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTopOperationsV2(ctx context.Context, queryParams *model.GetTopOperationsParams) (*[]model.TopOperationsItem, *model.ApiError) {
|
|
|
|
namedArgs := []interface{}{
|
|
clickhouse.Named("start", strconv.FormatInt(queryParams.Start.UnixNano(), 10)),
|
|
clickhouse.Named("end", strconv.FormatInt(queryParams.End.UnixNano(), 10)),
|
|
clickhouse.Named("serviceName", queryParams.ServiceName),
|
|
clickhouse.Named("start_bucket", strconv.FormatInt(queryParams.Start.Unix()-1800, 10)),
|
|
clickhouse.Named("end_bucket", strconv.FormatInt(queryParams.End.Unix(), 10)),
|
|
}
|
|
|
|
var topOperationsItems []model.TopOperationsItem
|
|
|
|
query := fmt.Sprintf(`
|
|
SELECT
|
|
quantile(0.5)(durationNano) as p50,
|
|
quantile(0.95)(durationNano) as p95,
|
|
quantile(0.99)(durationNano) as p99,
|
|
COUNT(*) as numCalls,
|
|
countIf(statusCode=2) as errorCount,
|
|
name
|
|
FROM %s.%s
|
|
WHERE serviceName = @serviceName AND timestamp>= @start AND timestamp<= @end`,
|
|
r.TraceDB, r.traceTableName,
|
|
)
|
|
|
|
resourceSubQuery, err := r.buildResourceSubQuery(queryParams.Tags, queryParams.ServiceName, *queryParams.Start, *queryParams.End)
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
query += `
|
|
AND (
|
|
resource_fingerprint GLOBAL IN ` +
|
|
resourceSubQuery +
|
|
`) AND ts_bucket_start >= @start_bucket AND ts_bucket_start <= @end_bucket`
|
|
|
|
query += " GROUP BY name ORDER BY p99 DESC"
|
|
if queryParams.Limit > 0 {
|
|
query += " LIMIT @limit"
|
|
namedArgs = append(namedArgs, clickhouse.Named("limit", queryParams.Limit))
|
|
}
|
|
err = r.db.Select(ctx, &topOperationsItems, query, namedArgs...)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
|
|
if topOperationsItems == nil {
|
|
topOperationsItems = []model.TopOperationsItem{}
|
|
}
|
|
|
|
return &topOperationsItems, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTopOperations(ctx context.Context, queryParams *model.GetTopOperationsParams) (*[]model.TopOperationsItem, *model.ApiError) {
|
|
|
|
if r.useTraceNewSchema {
|
|
return r.GetTopOperationsV2(ctx, queryParams)
|
|
}
|
|
|
|
namedArgs := []interface{}{
|
|
clickhouse.Named("start", strconv.FormatInt(queryParams.Start.UnixNano(), 10)),
|
|
clickhouse.Named("end", strconv.FormatInt(queryParams.End.UnixNano(), 10)),
|
|
clickhouse.Named("serviceName", queryParams.ServiceName),
|
|
}
|
|
|
|
var topOperationsItems []model.TopOperationsItem
|
|
|
|
query := fmt.Sprintf(`
|
|
SELECT
|
|
quantile(0.5)(durationNano) as p50,
|
|
quantile(0.95)(durationNano) as p95,
|
|
quantile(0.99)(durationNano) as p99,
|
|
COUNT(*) as numCalls,
|
|
countIf(statusCode=2) as errorCount,
|
|
name
|
|
FROM %s.%s
|
|
WHERE serviceName = @serviceName AND timestamp>= @start AND timestamp<= @end`,
|
|
r.TraceDB, r.indexTable,
|
|
)
|
|
args := []interface{}{}
|
|
args = append(args, namedArgs...)
|
|
// create TagQuery from TagQueryParams
|
|
tags := createTagQueryFromTagQueryParams(queryParams.Tags)
|
|
subQuery, argsSubQuery, errStatus := buildQueryWithTagParams(ctx, tags)
|
|
query += subQuery
|
|
args = append(args, argsSubQuery...)
|
|
if errStatus != nil {
|
|
return nil, errStatus
|
|
}
|
|
query += " GROUP BY name ORDER BY p99 DESC"
|
|
if queryParams.Limit > 0 {
|
|
query += " LIMIT @limit"
|
|
args = append(args, clickhouse.Named("limit", queryParams.Limit))
|
|
}
|
|
err := r.db.Select(ctx, &topOperationsItems, query, args...)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
|
|
if topOperationsItems == nil {
|
|
topOperationsItems = []model.TopOperationsItem{}
|
|
}
|
|
|
|
return &topOperationsItems, nil
|
|
}
|
|
func (r *ClickHouseReader) GetUsage(ctx context.Context, queryParams *model.GetUsageParams) (*[]model.UsageItem, error) {
|
|
|
|
var usageItems []model.UsageItem
|
|
namedArgs := []interface{}{
|
|
clickhouse.Named("interval", queryParams.StepHour),
|
|
clickhouse.Named("start", strconv.FormatInt(queryParams.Start.UnixNano(), 10)),
|
|
clickhouse.Named("end", strconv.FormatInt(queryParams.End.UnixNano(), 10)),
|
|
}
|
|
var query string
|
|
if len(queryParams.ServiceName) != 0 {
|
|
namedArgs = append(namedArgs, clickhouse.Named("serviceName", queryParams.ServiceName))
|
|
query = fmt.Sprintf("SELECT toStartOfInterval(timestamp, INTERVAL @interval HOUR) as time, sum(count) as count FROM %s.%s WHERE service_name=@serviceName AND timestamp>=@start AND timestamp<=@end GROUP BY time ORDER BY time ASC", r.TraceDB, r.usageExplorerTable)
|
|
} else {
|
|
query = fmt.Sprintf("SELECT toStartOfInterval(timestamp, INTERVAL @interval HOUR) as time, sum(count) as count FROM %s.%s WHERE timestamp>=@start AND timestamp<=@end GROUP BY time ORDER BY time ASC", r.TraceDB, r.usageExplorerTable)
|
|
}
|
|
|
|
err := r.db.Select(ctx, &usageItems, query, namedArgs...)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, fmt.Errorf("error in processing sql query")
|
|
}
|
|
|
|
for i := range usageItems {
|
|
usageItems[i].Timestamp = uint64(usageItems[i].Time.UnixNano())
|
|
}
|
|
|
|
if usageItems == nil {
|
|
usageItems = []model.UsageItem{}
|
|
}
|
|
|
|
return &usageItems, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) SearchTracesV2(ctx context.Context, params *model.SearchTracesParams,
|
|
smartTraceAlgorithm func(payload []model.SearchSpanResponseItem, targetSpanId string,
|
|
levelUp int, levelDown int, spanLimit int) ([]model.SearchSpansResult, error)) (*[]model.SearchSpansResult, error) {
|
|
searchSpansResult := []model.SearchSpansResult{
|
|
{
|
|
Columns: []string{"__time", "SpanId", "TraceId", "ServiceName", "Name", "Kind", "DurationNano", "TagsKeys", "TagsValues", "References", "Events", "HasError", "StatusMessage", "StatusCodeString", "SpanKind"},
|
|
IsSubTree: false,
|
|
Events: make([][]interface{}, 0),
|
|
},
|
|
}
|
|
|
|
var traceSummary model.TraceSummary
|
|
summaryQuery := fmt.Sprintf("SELECT * from %s.%s WHERE trace_id=$1", r.TraceDB, r.traceSummaryTable)
|
|
err := r.db.QueryRow(ctx, summaryQuery, params.TraceID).Scan(&traceSummary.TraceID, &traceSummary.Start, &traceSummary.End, &traceSummary.NumSpans)
|
|
if err != nil {
|
|
if err == sql.ErrNoRows {
|
|
return &searchSpansResult, nil
|
|
}
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, fmt.Errorf("error in processing sql query")
|
|
}
|
|
|
|
if traceSummary.NumSpans > uint64(params.MaxSpansInTrace) {
|
|
zap.L().Error("Max spans allowed in a trace limit reached", zap.Int("MaxSpansInTrace", params.MaxSpansInTrace),
|
|
zap.Uint64("Count", traceSummary.NumSpans))
|
|
userEmail, err := auth.GetEmailFromJwt(ctx)
|
|
if err == nil {
|
|
data := map[string]interface{}{
|
|
"traceSize": traceSummary.NumSpans,
|
|
"maxSpansInTraceLimit": params.MaxSpansInTrace,
|
|
}
|
|
telemetry.GetInstance().SendEvent(telemetry.TELEMETRY_EVENT_MAX_SPANS_ALLOWED_LIMIT_REACHED, data, userEmail, true, false)
|
|
}
|
|
return nil, fmt.Errorf("max spans allowed in trace limit reached, please contact support for more details")
|
|
}
|
|
|
|
userEmail, err := auth.GetEmailFromJwt(ctx)
|
|
if err == nil {
|
|
data := map[string]interface{}{
|
|
"traceSize": traceSummary.NumSpans,
|
|
}
|
|
telemetry.GetInstance().SendEvent(telemetry.TELEMETRY_EVENT_TRACE_DETAIL_API, data, userEmail, true, false)
|
|
}
|
|
|
|
var startTime, endTime, durationNano uint64
|
|
var searchScanResponses []model.SpanItemV2
|
|
|
|
query := fmt.Sprintf("SELECT timestamp, duration_nano, span_id, trace_id, has_error, kind, resource_string_service$$name, name, references, attributes_string, attributes_number, attributes_bool, resources_string, events, status_message, status_code_string, kind_string FROM %s.%s WHERE trace_id=$1 and ts_bucket_start>=$2 and ts_bucket_start<=$3", r.TraceDB, r.traceTableName)
|
|
|
|
start := time.Now()
|
|
|
|
err = r.db.Select(ctx, &searchScanResponses, query, params.TraceID, strconv.FormatInt(traceSummary.Start.Unix()-1800, 10), strconv.FormatInt(traceSummary.End.Unix(), 10))
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, fmt.Errorf("error in processing sql query")
|
|
}
|
|
end := time.Now()
|
|
zap.L().Debug("getTraceSQLQuery took: ", zap.Duration("duration", end.Sub(start)))
|
|
|
|
searchSpansResult[0].Events = make([][]interface{}, len(searchScanResponses))
|
|
|
|
searchSpanResponses := []model.SearchSpanResponseItem{}
|
|
start = time.Now()
|
|
for _, item := range searchScanResponses {
|
|
ref := []model.OtelSpanRef{}
|
|
err := json.Unmarshal([]byte(item.References), &ref)
|
|
if err != nil {
|
|
zap.L().Error("Error unmarshalling references", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
|
|
// merge attributes_number and attributes_bool to attributes_string
|
|
for k, v := range item.Attributes_bool {
|
|
item.Attributes_string[k] = fmt.Sprintf("%v", v)
|
|
}
|
|
for k, v := range item.Attributes_number {
|
|
item.Attributes_string[k] = fmt.Sprintf("%v", v)
|
|
}
|
|
for k, v := range item.Resources_string {
|
|
item.Attributes_string[k] = v
|
|
}
|
|
|
|
jsonItem := model.SearchSpanResponseItem{
|
|
SpanID: item.SpanID,
|
|
TraceID: item.TraceID,
|
|
ServiceName: item.ServiceName,
|
|
Name: item.Name,
|
|
Kind: int32(item.Kind),
|
|
DurationNano: int64(item.DurationNano),
|
|
HasError: item.HasError,
|
|
StatusMessage: item.StatusMessage,
|
|
StatusCodeString: item.StatusCodeString,
|
|
SpanKind: item.SpanKind,
|
|
References: ref,
|
|
Events: item.Events,
|
|
TagMap: item.Attributes_string,
|
|
}
|
|
|
|
jsonItem.TimeUnixNano = uint64(item.TimeUnixNano.UnixNano() / 1000000)
|
|
|
|
searchSpanResponses = append(searchSpanResponses, jsonItem)
|
|
if startTime == 0 || jsonItem.TimeUnixNano < startTime {
|
|
startTime = jsonItem.TimeUnixNano
|
|
}
|
|
if endTime == 0 || jsonItem.TimeUnixNano > endTime {
|
|
endTime = jsonItem.TimeUnixNano
|
|
}
|
|
if durationNano == 0 || uint64(jsonItem.DurationNano) > durationNano {
|
|
durationNano = uint64(jsonItem.DurationNano)
|
|
}
|
|
}
|
|
end = time.Now()
|
|
zap.L().Debug("getTraceSQLQuery unmarshal took: ", zap.Duration("duration", end.Sub(start)))
|
|
|
|
err = r.featureFlags.CheckFeature(model.SmartTraceDetail)
|
|
smartAlgoEnabled := err == nil
|
|
if len(searchScanResponses) > params.SpansRenderLimit && smartAlgoEnabled {
|
|
start = time.Now()
|
|
searchSpansResult, err = smartTraceAlgorithm(searchSpanResponses, params.SpanID, params.LevelUp, params.LevelDown, params.SpansRenderLimit)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
end = time.Now()
|
|
zap.L().Debug("smartTraceAlgo took: ", zap.Duration("duration", end.Sub(start)))
|
|
userEmail, err := auth.GetEmailFromJwt(ctx)
|
|
if err == nil {
|
|
data := map[string]interface{}{
|
|
"traceSize": len(searchScanResponses),
|
|
"spansRenderLimit": params.SpansRenderLimit,
|
|
}
|
|
telemetry.GetInstance().SendEvent(telemetry.TELEMETRY_EVENT_LARGE_TRACE_OPENED, data, userEmail, true, false)
|
|
}
|
|
} else {
|
|
for i, item := range searchSpanResponses {
|
|
spanEvents := item.GetValues()
|
|
searchSpansResult[0].Events[i] = spanEvents
|
|
}
|
|
}
|
|
|
|
searchSpansResult[0].StartTimestampMillis = startTime - (durationNano / 1000000)
|
|
searchSpansResult[0].EndTimestampMillis = endTime + (durationNano / 1000000)
|
|
|
|
return &searchSpansResult, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) SearchTraces(ctx context.Context, params *model.SearchTracesParams,
|
|
smartTraceAlgorithm func(payload []model.SearchSpanResponseItem, targetSpanId string,
|
|
levelUp int, levelDown int, spanLimit int) ([]model.SearchSpansResult, error)) (*[]model.SearchSpansResult, error) {
|
|
|
|
if r.useTraceNewSchema {
|
|
return r.SearchTracesV2(ctx, params, smartTraceAlgorithm)
|
|
}
|
|
|
|
var countSpans uint64
|
|
countQuery := fmt.Sprintf("SELECT count() as count from %s.%s WHERE traceID=$1", r.TraceDB, r.SpansTable)
|
|
err := r.db.QueryRow(ctx, countQuery, params.TraceID).Scan(&countSpans)
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, fmt.Errorf("error in processing sql query")
|
|
}
|
|
|
|
if countSpans > uint64(params.MaxSpansInTrace) {
|
|
zap.L().Error("Max spans allowed in a trace limit reached", zap.Int("MaxSpansInTrace", params.MaxSpansInTrace),
|
|
zap.Uint64("Count", countSpans))
|
|
userEmail, err := auth.GetEmailFromJwt(ctx)
|
|
if err == nil {
|
|
data := map[string]interface{}{
|
|
"traceSize": countSpans,
|
|
"maxSpansInTraceLimit": params.MaxSpansInTrace,
|
|
}
|
|
telemetry.GetInstance().SendEvent(telemetry.TELEMETRY_EVENT_MAX_SPANS_ALLOWED_LIMIT_REACHED, data, userEmail, true, false)
|
|
}
|
|
return nil, fmt.Errorf("max spans allowed in trace limit reached, please contact support for more details")
|
|
}
|
|
|
|
userEmail, err := auth.GetEmailFromJwt(ctx)
|
|
if err == nil {
|
|
data := map[string]interface{}{
|
|
"traceSize": countSpans,
|
|
}
|
|
telemetry.GetInstance().SendEvent(telemetry.TELEMETRY_EVENT_TRACE_DETAIL_API, data, userEmail, true, false)
|
|
}
|
|
|
|
var startTime, endTime, durationNano uint64
|
|
var searchScanResponses []model.SearchSpanDBResponseItem
|
|
|
|
query := fmt.Sprintf("SELECT timestamp, traceID, model FROM %s.%s WHERE traceID=$1", r.TraceDB, r.SpansTable)
|
|
|
|
start := time.Now()
|
|
|
|
err = r.db.Select(ctx, &searchScanResponses, query, params.TraceID)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, fmt.Errorf("error in processing sql query")
|
|
}
|
|
end := time.Now()
|
|
zap.L().Debug("getTraceSQLQuery took: ", zap.Duration("duration", end.Sub(start)))
|
|
searchSpansResult := []model.SearchSpansResult{{
|
|
Columns: []string{"__time", "SpanId", "TraceId", "ServiceName", "Name", "Kind", "DurationNano", "TagsKeys", "TagsValues", "References", "Events", "HasError", "StatusMessage", "StatusCodeString", "SpanKind"},
|
|
Events: make([][]interface{}, len(searchScanResponses)),
|
|
IsSubTree: false,
|
|
},
|
|
}
|
|
|
|
searchSpanResponses := []model.SearchSpanResponseItem{}
|
|
start = time.Now()
|
|
for _, item := range searchScanResponses {
|
|
var jsonItem model.SearchSpanResponseItem
|
|
easyjson.Unmarshal([]byte(item.Model), &jsonItem)
|
|
jsonItem.TimeUnixNano = uint64(item.Timestamp.UnixNano() / 1000000)
|
|
searchSpanResponses = append(searchSpanResponses, jsonItem)
|
|
if startTime == 0 || jsonItem.TimeUnixNano < startTime {
|
|
startTime = jsonItem.TimeUnixNano
|
|
}
|
|
if endTime == 0 || jsonItem.TimeUnixNano > endTime {
|
|
endTime = jsonItem.TimeUnixNano
|
|
}
|
|
if durationNano == 0 || uint64(jsonItem.DurationNano) > durationNano {
|
|
durationNano = uint64(jsonItem.DurationNano)
|
|
}
|
|
}
|
|
end = time.Now()
|
|
zap.L().Debug("getTraceSQLQuery unmarshal took: ", zap.Duration("duration", end.Sub(start)))
|
|
|
|
err = r.featureFlags.CheckFeature(model.SmartTraceDetail)
|
|
smartAlgoEnabled := err == nil
|
|
if len(searchScanResponses) > params.SpansRenderLimit && smartAlgoEnabled {
|
|
start = time.Now()
|
|
searchSpansResult, err = smartTraceAlgorithm(searchSpanResponses, params.SpanID, params.LevelUp, params.LevelDown, params.SpansRenderLimit)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
end = time.Now()
|
|
zap.L().Debug("smartTraceAlgo took: ", zap.Duration("duration", end.Sub(start)))
|
|
userEmail, err := auth.GetEmailFromJwt(ctx)
|
|
if err == nil {
|
|
data := map[string]interface{}{
|
|
"traceSize": len(searchScanResponses),
|
|
"spansRenderLimit": params.SpansRenderLimit,
|
|
}
|
|
telemetry.GetInstance().SendEvent(telemetry.TELEMETRY_EVENT_LARGE_TRACE_OPENED, data, userEmail, true, false)
|
|
}
|
|
} else {
|
|
for i, item := range searchSpanResponses {
|
|
spanEvents := item.GetValues()
|
|
searchSpansResult[0].Events[i] = spanEvents
|
|
}
|
|
}
|
|
|
|
searchSpansResult[0].StartTimestampMillis = startTime - (durationNano / 1000000)
|
|
searchSpansResult[0].EndTimestampMillis = endTime + (durationNano / 1000000)
|
|
|
|
return &searchSpansResult, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetDependencyGraph(ctx context.Context, queryParams *model.GetServicesParams) (*[]model.ServiceMapDependencyResponseItem, error) {
|
|
|
|
response := []model.ServiceMapDependencyResponseItem{}
|
|
|
|
args := []interface{}{}
|
|
args = append(args,
|
|
clickhouse.Named("start", uint64(queryParams.Start.Unix())),
|
|
clickhouse.Named("end", uint64(queryParams.End.Unix())),
|
|
clickhouse.Named("duration", uint64(queryParams.End.Unix()-queryParams.Start.Unix())),
|
|
)
|
|
|
|
query := fmt.Sprintf(`
|
|
WITH
|
|
quantilesMergeState(0.5, 0.75, 0.9, 0.95, 0.99)(duration_quantiles_state) AS duration_quantiles_state,
|
|
finalizeAggregation(duration_quantiles_state) AS result
|
|
SELECT
|
|
src as parent,
|
|
dest as child,
|
|
result[1] AS p50,
|
|
result[2] AS p75,
|
|
result[3] AS p90,
|
|
result[4] AS p95,
|
|
result[5] AS p99,
|
|
sum(total_count) as callCount,
|
|
sum(total_count)/ @duration AS callRate,
|
|
sum(error_count)/sum(total_count) * 100 as errorRate
|
|
FROM %s.%s
|
|
WHERE toUInt64(toDateTime(timestamp)) >= @start AND toUInt64(toDateTime(timestamp)) <= @end`,
|
|
r.TraceDB, r.dependencyGraphTable,
|
|
)
|
|
|
|
tags := createTagQueryFromTagQueryParams(queryParams.Tags)
|
|
filterQuery, filterArgs := services.BuildServiceMapQuery(tags)
|
|
query += filterQuery + " GROUP BY src, dest;"
|
|
args = append(args, filterArgs...)
|
|
|
|
zap.L().Debug("GetDependencyGraph query", zap.String("query", query), zap.Any("args", args))
|
|
|
|
err := r.db.Select(ctx, &response, query, args...)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, fmt.Errorf("error in processing sql query %w", err)
|
|
}
|
|
|
|
return &response, nil
|
|
}
|
|
|
|
func getLocalTableName(tableName string) string {
|
|
|
|
tableNameSplit := strings.Split(tableName, ".")
|
|
return tableNameSplit[0] + "." + strings.Split(tableNameSplit[1], "distributed_")[1]
|
|
|
|
}
|
|
|
|
func (r *ClickHouseReader) SetTTLLogsV2(ctx context.Context, params *model.TTLParams) (*model.SetTTLResponseItem, *model.ApiError) {
|
|
// Keep only latest 100 transactions/requests
|
|
r.deleteTtlTransactions(ctx, 100)
|
|
// uuid is used as transaction id
|
|
uuidWithHyphen := uuid.New()
|
|
uuid := strings.Replace(uuidWithHyphen.String(), "-", "", -1)
|
|
|
|
coldStorageDuration := -1
|
|
if len(params.ColdStorageVolume) > 0 {
|
|
coldStorageDuration = int(params.ToColdStorageDuration)
|
|
}
|
|
|
|
tableNameArray := []string{r.logsDB + "." + r.logsLocalTableV2, r.logsDB + "." + r.logsResourceLocalTableV2}
|
|
|
|
// check if there is existing things to be done
|
|
for _, tableName := range tableNameArray {
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing ttl_status check sql query")}
|
|
}
|
|
if statusItem.Status == constants.StatusPending {
|
|
return nil, &model.ApiError{Typ: model.ErrorConflict, Err: fmt.Errorf("TTL is already running")}
|
|
}
|
|
}
|
|
|
|
// TTL query for logs_v2 table
|
|
ttlLogsV2 := fmt.Sprintf(
|
|
"ALTER TABLE %v ON CLUSTER %s MODIFY TTL toDateTime(timestamp / 1000000000) + "+
|
|
"INTERVAL %v SECOND DELETE", tableNameArray[0], r.cluster, params.DelDuration)
|
|
if len(params.ColdStorageVolume) > 0 {
|
|
ttlLogsV2 += fmt.Sprintf(", toDateTime(timestamp / 1000000000)"+
|
|
" + INTERVAL %v SECOND TO VOLUME '%s'",
|
|
params.ToColdStorageDuration, params.ColdStorageVolume)
|
|
}
|
|
|
|
// TTL query for logs_v2_resource table
|
|
// adding 1800 as our bucket size is 1800 seconds
|
|
ttlLogsV2Resource := fmt.Sprintf(
|
|
"ALTER TABLE %v ON CLUSTER %s MODIFY TTL toDateTime(seen_at_ts_bucket_start) + toIntervalSecond(1800) + "+
|
|
"INTERVAL %v SECOND DELETE", tableNameArray[1], r.cluster, params.DelDuration)
|
|
if len(params.ColdStorageVolume) > 0 {
|
|
ttlLogsV2Resource += fmt.Sprintf(", toDateTime(seen_at_ts_bucket_start) + toIntervalSecond(1800) + "+
|
|
"INTERVAL %v SECOND TO VOLUME '%s'",
|
|
params.ToColdStorageDuration, params.ColdStorageVolume)
|
|
}
|
|
|
|
ttlPayload := map[string]string{
|
|
tableNameArray[0]: ttlLogsV2,
|
|
tableNameArray[1]: ttlLogsV2Resource,
|
|
}
|
|
|
|
// set the ttl if nothing is pending/ no errors
|
|
go func(ttlPayload map[string]string) {
|
|
for tableName, query := range ttlPayload {
|
|
// https://github.com/SigNoz/signoz/issues/5470
|
|
// we will change ttl for only the new parts and not the old ones
|
|
query += " SETTINGS materialize_ttl_after_modify=0"
|
|
|
|
_, dbErr := r.localDB.Exec("INSERT INTO ttl_status (transaction_id, created_at, updated_at, table_name, ttl, status, cold_storage_ttl) VALUES (?, ?, ?, ?, ?, ?, ?)", uuid, time.Now(), time.Now(), tableName, params.DelDuration, constants.StatusPending, coldStorageDuration)
|
|
if dbErr != nil {
|
|
zap.L().Error("error in inserting to ttl_status table", zap.Error(dbErr))
|
|
return
|
|
}
|
|
|
|
err := r.setColdStorage(context.Background(), tableName, params.ColdStorageVolume)
|
|
if err != nil {
|
|
zap.L().Error("error in setting cold storage", zap.Error(err))
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err == nil {
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}
|
|
return
|
|
}
|
|
zap.L().Info("Executing TTL request: ", zap.String("request", query))
|
|
statusItem, _ := r.checkTTLStatusItem(ctx, tableName)
|
|
if err := r.db.Exec(ctx, query); err != nil {
|
|
zap.L().Error("error while setting ttl", zap.Error(err))
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
return
|
|
}
|
|
_, dbErr = r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusSuccess, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}
|
|
|
|
}(ttlPayload)
|
|
return &model.SetTTLResponseItem{Message: "move ttl has been successfully set up"}, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) SetTTLTracesV2(ctx context.Context, params *model.TTLParams) (*model.SetTTLResponseItem, *model.ApiError) {
|
|
// uuid is used as transaction id
|
|
uuidWithHyphen := uuid.New()
|
|
uuid := strings.Replace(uuidWithHyphen.String(), "-", "", -1)
|
|
tableNames := []string{
|
|
r.TraceDB + "." + r.traceTableName,
|
|
r.TraceDB + "." + r.traceResourceTableV3,
|
|
r.TraceDB + "." + signozErrorIndexTable,
|
|
r.TraceDB + "." + signozUsageExplorerTable,
|
|
r.TraceDB + "." + defaultDependencyGraphTable,
|
|
r.TraceDB + "." + r.traceSummaryTable,
|
|
}
|
|
|
|
coldStorageDuration := -1
|
|
if len(params.ColdStorageVolume) > 0 {
|
|
coldStorageDuration = int(params.ToColdStorageDuration)
|
|
}
|
|
|
|
// check if there is existing things to be done
|
|
for _, tableName := range tableNames {
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing ttl_status check sql query")}
|
|
}
|
|
if statusItem.Status == constants.StatusPending {
|
|
return nil, &model.ApiError{Typ: model.ErrorConflict, Err: fmt.Errorf("TTL is already running")}
|
|
}
|
|
}
|
|
|
|
// TTL query
|
|
ttlV2 := "ALTER TABLE %s ON CLUSTER %s MODIFY TTL toDateTime(%s) + INTERVAL %v SECOND DELETE"
|
|
ttlV2ColdStorage := ", toDateTime(%s) + INTERVAL %v SECOND TO VOLUME '%s'"
|
|
|
|
// TTL query for resource table
|
|
ttlV2Resource := "ALTER TABLE %s ON CLUSTER %s MODIFY TTL toDateTime(seen_at_ts_bucket_start) + toIntervalSecond(1800) + INTERVAL %v SECOND DELETE"
|
|
ttlTracesV2ResourceColdStorage := ", toDateTime(seen_at_ts_bucket_start) + toIntervalSecond(1800) + INTERVAL %v SECOND TO VOLUME '%s'"
|
|
|
|
for _, distributedTableName := range tableNames {
|
|
go func(distributedTableName string) {
|
|
tableName := getLocalTableName(distributedTableName)
|
|
|
|
// for trace summary table, we need to use end instead of timestamp
|
|
timestamp := "timestamp"
|
|
if strings.HasSuffix(distributedTableName, r.traceSummaryTable) {
|
|
timestamp = "end"
|
|
}
|
|
|
|
_, dbErr := r.localDB.Exec("INSERT INTO ttl_status (transaction_id, created_at, updated_at, table_name, ttl, status, cold_storage_ttl) VALUES (?, ?, ?, ?, ?, ?, ?)", uuid, time.Now(), time.Now(), tableName, params.DelDuration, constants.StatusPending, coldStorageDuration)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in inserting to ttl_status table", zap.Error(dbErr))
|
|
return
|
|
}
|
|
req := fmt.Sprintf(ttlV2, tableName, r.cluster, timestamp, params.DelDuration)
|
|
if strings.HasSuffix(distributedTableName, r.traceResourceTableV3) {
|
|
req = fmt.Sprintf(ttlV2Resource, tableName, r.cluster, params.DelDuration)
|
|
}
|
|
|
|
if len(params.ColdStorageVolume) > 0 {
|
|
if strings.HasSuffix(distributedTableName, r.traceResourceTableV3) {
|
|
req += fmt.Sprintf(ttlTracesV2ResourceColdStorage, params.ToColdStorageDuration, params.ColdStorageVolume)
|
|
} else {
|
|
req += fmt.Sprintf(ttlV2ColdStorage, timestamp, params.ToColdStorageDuration, params.ColdStorageVolume)
|
|
}
|
|
}
|
|
err := r.setColdStorage(context.Background(), tableName, params.ColdStorageVolume)
|
|
if err != nil {
|
|
zap.L().Error("Error in setting cold storage", zap.Error(err))
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err == nil {
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}
|
|
return
|
|
}
|
|
req += " SETTINGS materialize_ttl_after_modify=0;"
|
|
zap.L().Error(" ExecutingTTL request: ", zap.String("request", req))
|
|
statusItem, _ := r.checkTTLStatusItem(ctx, tableName)
|
|
if err := r.db.Exec(ctx, req); err != nil {
|
|
zap.L().Error("Error in executing set TTL query", zap.Error(err))
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
return
|
|
}
|
|
_, dbErr = r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusSuccess, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}(distributedTableName)
|
|
}
|
|
return &model.SetTTLResponseItem{Message: "move ttl has been successfully set up"}, nil
|
|
}
|
|
|
|
// SetTTL sets the TTL for traces or metrics or logs tables.
|
|
// This is an async API which creates goroutines to set TTL.
|
|
// Status of TTL update is tracked with ttl_status table in sqlite db.
|
|
// SetTTL sets the TTL for traces or metrics or logs tables.
|
|
// This is an async API which creates goroutines to set TTL.
|
|
// Status of TTL update is tracked with ttl_status table in sqlite db.
|
|
func (r *ClickHouseReader) SetTTL(ctx context.Context,
|
|
params *model.TTLParams) (*model.SetTTLResponseItem, *model.ApiError) {
|
|
// Keep only latest 100 transactions/requests
|
|
r.deleteTtlTransactions(ctx, 100)
|
|
// uuid is used as transaction id
|
|
uuidWithHyphen := uuid.New()
|
|
uuid := strings.Replace(uuidWithHyphen.String(), "-", "", -1)
|
|
|
|
coldStorageDuration := -1
|
|
if len(params.ColdStorageVolume) > 0 {
|
|
coldStorageDuration = int(params.ToColdStorageDuration)
|
|
}
|
|
|
|
switch params.Type {
|
|
case constants.TraceTTL:
|
|
if r.useTraceNewSchema {
|
|
return r.SetTTLTracesV2(ctx, params)
|
|
}
|
|
|
|
tableNames := []string{
|
|
signozTraceDBName + "." + signozTraceTableName,
|
|
signozTraceDBName + "." + signozDurationMVTable,
|
|
signozTraceDBName + "." + signozSpansTable,
|
|
signozTraceDBName + "." + signozErrorIndexTable,
|
|
signozTraceDBName + "." + signozUsageExplorerTable,
|
|
signozTraceDBName + "." + defaultDependencyGraphTable,
|
|
}
|
|
for _, tableName := range tableNames {
|
|
tableName := getLocalTableName(tableName)
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing ttl_status check sql query")}
|
|
}
|
|
if statusItem.Status == constants.StatusPending {
|
|
return nil, &model.ApiError{Typ: model.ErrorConflict, Err: fmt.Errorf("TTL is already running")}
|
|
}
|
|
}
|
|
for _, tableName := range tableNames {
|
|
tableName := getLocalTableName(tableName)
|
|
// TODO: DB queries should be implemented with transactional statements but currently clickhouse doesn't support them. Issue: https://github.com/ClickHouse/ClickHouse/issues/22086
|
|
go func(tableName string) {
|
|
_, dbErr := r.localDB.Exec("INSERT INTO ttl_status (transaction_id, created_at, updated_at, table_name, ttl, status, cold_storage_ttl) VALUES (?, ?, ?, ?, ?, ?, ?)", uuid, time.Now(), time.Now(), tableName, params.DelDuration, constants.StatusPending, coldStorageDuration)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in inserting to ttl_status table", zap.Error(dbErr))
|
|
return
|
|
}
|
|
req := fmt.Sprintf(
|
|
"ALTER TABLE %v ON CLUSTER %s MODIFY TTL toDateTime(timestamp) + INTERVAL %v SECOND DELETE",
|
|
tableName, r.cluster, params.DelDuration)
|
|
if len(params.ColdStorageVolume) > 0 {
|
|
req += fmt.Sprintf(", toDateTime(timestamp) + INTERVAL %v SECOND TO VOLUME '%s'",
|
|
params.ToColdStorageDuration, params.ColdStorageVolume)
|
|
}
|
|
err := r.setColdStorage(context.Background(), tableName, params.ColdStorageVolume)
|
|
if err != nil {
|
|
zap.L().Error("Error in setting cold storage", zap.Error(err))
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err == nil {
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}
|
|
return
|
|
}
|
|
req += " SETTINGS materialize_ttl_after_modify=0;"
|
|
zap.L().Error("Executing TTL request: ", zap.String("request", req))
|
|
statusItem, _ := r.checkTTLStatusItem(ctx, tableName)
|
|
if err := r.db.Exec(context.Background(), req); err != nil {
|
|
zap.L().Error("Error in executing set TTL query", zap.Error(err))
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
return
|
|
}
|
|
_, dbErr = r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusSuccess, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}(tableName)
|
|
}
|
|
|
|
case constants.MetricsTTL:
|
|
tableNames := []string{
|
|
signozMetricDBName + "." + signozSampleLocalTableName,
|
|
signozMetricDBName + "." + signozSamplesAgg5mLocalTableName,
|
|
signozMetricDBName + "." + signozSamplesAgg30mLocalTableName,
|
|
signozMetricDBName + "." + signozExpHistLocalTableName,
|
|
signozMetricDBName + "." + signozTSLocalTableNameV4,
|
|
signozMetricDBName + "." + signozTSLocalTableNameV46Hrs,
|
|
signozMetricDBName + "." + signozTSLocalTableNameV41Day,
|
|
signozMetricDBName + "." + signozTSLocalTableNameV41Week,
|
|
}
|
|
for _, tableName := range tableNames {
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing ttl_status check sql query")}
|
|
}
|
|
if statusItem.Status == constants.StatusPending {
|
|
return nil, &model.ApiError{Typ: model.ErrorConflict, Err: fmt.Errorf("TTL is already running")}
|
|
}
|
|
}
|
|
metricTTL := func(tableName string) {
|
|
_, dbErr := r.localDB.Exec("INSERT INTO ttl_status (transaction_id, created_at, updated_at, table_name, ttl, status, cold_storage_ttl) VALUES (?, ?, ?, ?, ?, ?, ?)", uuid, time.Now(), time.Now(), tableName, params.DelDuration, constants.StatusPending, coldStorageDuration)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in inserting to ttl_status table", zap.Error(dbErr))
|
|
return
|
|
}
|
|
timeColumn := "timestamp_ms"
|
|
if strings.Contains(tableName, "v4") || strings.Contains(tableName, "exp_hist") {
|
|
timeColumn = "unix_milli"
|
|
}
|
|
|
|
req := fmt.Sprintf(
|
|
"ALTER TABLE %v ON CLUSTER %s MODIFY TTL toDateTime(toUInt32(%s / 1000), 'UTC') + "+
|
|
"INTERVAL %v SECOND DELETE", tableName, r.cluster, timeColumn, params.DelDuration)
|
|
if len(params.ColdStorageVolume) > 0 {
|
|
req += fmt.Sprintf(", toDateTime(toUInt32(%s / 1000), 'UTC')"+
|
|
" + INTERVAL %v SECOND TO VOLUME '%s'",
|
|
timeColumn, params.ToColdStorageDuration, params.ColdStorageVolume)
|
|
}
|
|
err := r.setColdStorage(context.Background(), tableName, params.ColdStorageVolume)
|
|
if err != nil {
|
|
zap.L().Error("Error in setting cold storage", zap.Error(err))
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err == nil {
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}
|
|
return
|
|
}
|
|
req += " SETTINGS materialize_ttl_after_modify=0"
|
|
zap.L().Info("Executing TTL request: ", zap.String("request", req))
|
|
statusItem, _ := r.checkTTLStatusItem(ctx, tableName)
|
|
if err := r.db.Exec(ctx, req); err != nil {
|
|
zap.L().Error("error while setting ttl.", zap.Error(err))
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
return
|
|
}
|
|
_, dbErr = r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusSuccess, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}
|
|
for _, tableName := range tableNames {
|
|
go metricTTL(tableName)
|
|
}
|
|
case constants.LogsTTL:
|
|
if r.useLogsNewSchema {
|
|
return r.SetTTLLogsV2(ctx, params)
|
|
}
|
|
|
|
tableName := r.logsDB + "." + r.logsLocalTable
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing ttl_status check sql query")}
|
|
}
|
|
if statusItem.Status == constants.StatusPending {
|
|
return nil, &model.ApiError{Typ: model.ErrorConflict, Err: fmt.Errorf("TTL is already running")}
|
|
}
|
|
go func(tableName string) {
|
|
_, dbErr := r.localDB.Exec("INSERT INTO ttl_status (transaction_id, created_at, updated_at, table_name, ttl, status, cold_storage_ttl) VALUES (?, ?, ?, ?, ?, ?, ?)", uuid, time.Now(), time.Now(), tableName, params.DelDuration, constants.StatusPending, coldStorageDuration)
|
|
if dbErr != nil {
|
|
zap.L().Error("error in inserting to ttl_status table", zap.Error(dbErr))
|
|
return
|
|
}
|
|
req := fmt.Sprintf(
|
|
"ALTER TABLE %v ON CLUSTER %s MODIFY TTL toDateTime(timestamp / 1000000000) + "+
|
|
"INTERVAL %v SECOND DELETE", tableName, r.cluster, params.DelDuration)
|
|
if len(params.ColdStorageVolume) > 0 {
|
|
req += fmt.Sprintf(", toDateTime(timestamp / 1000000000)"+
|
|
" + INTERVAL %v SECOND TO VOLUME '%s'",
|
|
params.ToColdStorageDuration, params.ColdStorageVolume)
|
|
}
|
|
err := r.setColdStorage(context.Background(), tableName, params.ColdStorageVolume)
|
|
if err != nil {
|
|
zap.L().Error("error in setting cold storage", zap.Error(err))
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
if err == nil {
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}
|
|
return
|
|
}
|
|
req += " SETTINGS materialize_ttl_after_modify=0"
|
|
zap.L().Info("Executing TTL request: ", zap.String("request", req))
|
|
statusItem, _ := r.checkTTLStatusItem(ctx, tableName)
|
|
if err := r.db.Exec(ctx, req); err != nil {
|
|
zap.L().Error("error while setting ttl", zap.Error(err))
|
|
_, dbErr := r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusFailed, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
return
|
|
}
|
|
_, dbErr = r.localDB.Exec("UPDATE ttl_status SET updated_at = ?, status = ? WHERE id = ?", time.Now(), constants.StatusSuccess, statusItem.Id)
|
|
if dbErr != nil {
|
|
zap.L().Error("Error in processing ttl_status update sql query", zap.Error(dbErr))
|
|
return
|
|
}
|
|
}(tableName)
|
|
|
|
default:
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error while setting ttl. ttl type should be <metrics|traces>, got %v",
|
|
params.Type)}
|
|
}
|
|
|
|
return &model.SetTTLResponseItem{Message: "move ttl has been successfully set up"}, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) deleteTtlTransactions(_ context.Context, numberOfTransactionsStore int) {
|
|
_, err := r.localDB.Exec("DELETE FROM ttl_status WHERE transaction_id NOT IN (SELECT distinct transaction_id FROM ttl_status ORDER BY created_at DESC LIMIT ?)", numberOfTransactionsStore)
|
|
if err != nil {
|
|
zap.L().Error("Error in processing ttl_status delete sql query", zap.Error(err))
|
|
}
|
|
}
|
|
|
|
// checkTTLStatusItem checks if ttl_status table has an entry for the given table name
|
|
func (r *ClickHouseReader) checkTTLStatusItem(_ context.Context, tableName string) (model.TTLStatusItem, *model.ApiError) {
|
|
statusItem := []model.TTLStatusItem{}
|
|
|
|
query := `SELECT id, status, ttl, cold_storage_ttl FROM ttl_status WHERE table_name = ? ORDER BY created_at DESC`
|
|
|
|
zap.L().Info("checkTTLStatusItem query", zap.String("query", query), zap.String("tableName", tableName))
|
|
|
|
stmt, err := r.localDB.Preparex(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error preparing query for checkTTLStatusItem", zap.Error(err))
|
|
return model.TTLStatusItem{}, &model.ApiError{Typ: model.ErrorInternal, Err: err}
|
|
}
|
|
|
|
err = stmt.Select(&statusItem, tableName)
|
|
|
|
if len(statusItem) == 0 {
|
|
return model.TTLStatusItem{}, nil
|
|
}
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return model.TTLStatusItem{}, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing ttl_status check sql query")}
|
|
}
|
|
return statusItem[0], nil
|
|
}
|
|
|
|
// setTTLQueryStatus fetches ttl_status table status from DB
|
|
func (r *ClickHouseReader) setTTLQueryStatus(ctx context.Context, tableNameArray []string) (string, *model.ApiError) {
|
|
failFlag := false
|
|
status := constants.StatusSuccess
|
|
for _, tableName := range tableNameArray {
|
|
statusItem, err := r.checkTTLStatusItem(ctx, tableName)
|
|
emptyStatusStruct := model.TTLStatusItem{}
|
|
if statusItem == emptyStatusStruct {
|
|
return "", nil
|
|
}
|
|
if err != nil {
|
|
return "", &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing ttl_status check sql query")}
|
|
}
|
|
if statusItem.Status == constants.StatusPending && statusItem.UpdatedAt.Unix()-time.Now().Unix() < 3600 {
|
|
status = constants.StatusPending
|
|
return status, nil
|
|
}
|
|
if statusItem.Status == constants.StatusFailed {
|
|
failFlag = true
|
|
}
|
|
}
|
|
if failFlag {
|
|
status = constants.StatusFailed
|
|
}
|
|
|
|
return status, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) setColdStorage(ctx context.Context, tableName string, coldStorageVolume string) *model.ApiError {
|
|
|
|
// Set the storage policy for the required table. If it is already set, then setting it again
|
|
// will not a problem.
|
|
if len(coldStorageVolume) > 0 {
|
|
policyReq := fmt.Sprintf("ALTER TABLE %s ON CLUSTER %s MODIFY SETTING storage_policy='tiered'", tableName, r.cluster)
|
|
|
|
zap.L().Info("Executing Storage policy request: ", zap.String("request", policyReq))
|
|
if err := r.db.Exec(ctx, policyReq); err != nil {
|
|
zap.L().Error("error while setting storage policy", zap.Error(err))
|
|
return &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error while setting storage policy. Err=%v", err)}
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// GetDisks returns a list of disks {name, type} configured in clickhouse DB.
|
|
func (r *ClickHouseReader) GetDisks(ctx context.Context) (*[]model.DiskItem, *model.ApiError) {
|
|
diskItems := []model.DiskItem{}
|
|
|
|
query := "SELECT name,type FROM system.disks"
|
|
if err := r.db.Select(ctx, &diskItems, query); err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error while getting disks. Err=%v", err)}
|
|
}
|
|
|
|
return &diskItems, nil
|
|
}
|
|
|
|
func getLocalTableNameArray(tableNames []string) []string {
|
|
var localTableNames []string
|
|
for _, name := range tableNames {
|
|
tableNameSplit := strings.Split(name, ".")
|
|
localTableNames = append(localTableNames, tableNameSplit[0]+"."+strings.Split(tableNameSplit[1], "distributed_")[1])
|
|
}
|
|
return localTableNames
|
|
}
|
|
|
|
// GetTTL returns current ttl, expected ttl and past setTTL status for metrics/traces.
|
|
func (r *ClickHouseReader) GetTTL(ctx context.Context, ttlParams *model.GetTTLParams) (*model.GetTTLResponseItem, *model.ApiError) {
|
|
|
|
parseTTL := func(queryResp string) (int, int) {
|
|
|
|
zap.L().Info("Parsing TTL from: ", zap.String("queryResp", queryResp))
|
|
deleteTTLExp := regexp.MustCompile(`toIntervalSecond\(([0-9]*)\)`)
|
|
moveTTLExp := regexp.MustCompile(`toIntervalSecond\(([0-9]*)\) TO VOLUME`)
|
|
|
|
var delTTL, moveTTL int = -1, -1
|
|
|
|
m := deleteTTLExp.FindStringSubmatch(queryResp)
|
|
if len(m) > 1 {
|
|
seconds_int, err := strconv.Atoi(m[1])
|
|
if err != nil {
|
|
return -1, -1
|
|
}
|
|
delTTL = seconds_int / 3600
|
|
}
|
|
|
|
m = moveTTLExp.FindStringSubmatch(queryResp)
|
|
if len(m) > 1 {
|
|
seconds_int, err := strconv.Atoi(m[1])
|
|
if err != nil {
|
|
return -1, -1
|
|
}
|
|
moveTTL = seconds_int / 3600
|
|
}
|
|
|
|
return delTTL, moveTTL
|
|
}
|
|
|
|
getMetricsTTL := func() (*model.DBResponseTTL, *model.ApiError) {
|
|
var dbResp []model.DBResponseTTL
|
|
|
|
query := fmt.Sprintf("SELECT engine_full FROM system.tables WHERE name='%v'", signozSampleLocalTableName)
|
|
|
|
err := r.db.Select(ctx, &dbResp, query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("error while getting ttl", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error while getting ttl. Err=%v", err)}
|
|
}
|
|
if len(dbResp) == 0 {
|
|
return nil, nil
|
|
} else {
|
|
return &dbResp[0], nil
|
|
}
|
|
}
|
|
|
|
getTracesTTL := func() (*model.DBResponseTTL, *model.ApiError) {
|
|
var dbResp []model.DBResponseTTL
|
|
|
|
query := fmt.Sprintf("SELECT engine_full FROM system.tables WHERE name='%v' AND database='%v'", r.traceLocalTableName, signozTraceDBName)
|
|
|
|
err := r.db.Select(ctx, &dbResp, query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("error while getting ttl", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error while getting ttl. Err=%v", err)}
|
|
}
|
|
if len(dbResp) == 0 {
|
|
return nil, nil
|
|
} else {
|
|
return &dbResp[0], nil
|
|
}
|
|
}
|
|
|
|
getLogsTTL := func() (*model.DBResponseTTL, *model.ApiError) {
|
|
var dbResp []model.DBResponseTTL
|
|
|
|
query := fmt.Sprintf("SELECT engine_full FROM system.tables WHERE name='%v' AND database='%v'", r.logsLocalTableName, r.logsDB)
|
|
|
|
err := r.db.Select(ctx, &dbResp, query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("error while getting ttl", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error while getting ttl. Err=%v", err)}
|
|
}
|
|
if len(dbResp) == 0 {
|
|
return nil, nil
|
|
} else {
|
|
return &dbResp[0], nil
|
|
}
|
|
}
|
|
|
|
switch ttlParams.Type {
|
|
case constants.TraceTTL:
|
|
tableNameArray := []string{signozTraceDBName + "." + signozTraceTableName, signozTraceDBName + "." + signozDurationMVTable, signozTraceDBName + "." + signozSpansTable, signozTraceDBName + "." + signozErrorIndexTable, signozTraceDBName + "." + signozUsageExplorerTable, signozTraceDBName + "." + defaultDependencyGraphTable}
|
|
|
|
tableNameArray = getLocalTableNameArray(tableNameArray)
|
|
status, err := r.setTTLQueryStatus(ctx, tableNameArray)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
dbResp, err := getTracesTTL()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ttlQuery, err := r.checkTTLStatusItem(ctx, tableNameArray[0])
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ttlQuery.TTL = ttlQuery.TTL / 3600 // convert to hours
|
|
if ttlQuery.ColdStorageTtl != -1 {
|
|
ttlQuery.ColdStorageTtl = ttlQuery.ColdStorageTtl / 3600 // convert to hours
|
|
}
|
|
|
|
delTTL, moveTTL := parseTTL(dbResp.EngineFull)
|
|
return &model.GetTTLResponseItem{TracesTime: delTTL, TracesMoveTime: moveTTL, ExpectedTracesTime: ttlQuery.TTL, ExpectedTracesMoveTime: ttlQuery.ColdStorageTtl, Status: status}, nil
|
|
|
|
case constants.MetricsTTL:
|
|
tableNameArray := []string{signozMetricDBName + "." + signozSampleTableName}
|
|
tableNameArray = getLocalTableNameArray(tableNameArray)
|
|
status, err := r.setTTLQueryStatus(ctx, tableNameArray)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
dbResp, err := getMetricsTTL()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ttlQuery, err := r.checkTTLStatusItem(ctx, tableNameArray[0])
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ttlQuery.TTL = ttlQuery.TTL / 3600 // convert to hours
|
|
if ttlQuery.ColdStorageTtl != -1 {
|
|
ttlQuery.ColdStorageTtl = ttlQuery.ColdStorageTtl / 3600 // convert to hours
|
|
}
|
|
|
|
delTTL, moveTTL := parseTTL(dbResp.EngineFull)
|
|
return &model.GetTTLResponseItem{MetricsTime: delTTL, MetricsMoveTime: moveTTL, ExpectedMetricsTime: ttlQuery.TTL, ExpectedMetricsMoveTime: ttlQuery.ColdStorageTtl, Status: status}, nil
|
|
|
|
case constants.LogsTTL:
|
|
tableNameArray := []string{r.logsDB + "." + r.logsTable}
|
|
tableNameArray = getLocalTableNameArray(tableNameArray)
|
|
status, err := r.setTTLQueryStatus(ctx, tableNameArray)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
dbResp, err := getLogsTTL()
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ttlQuery, err := r.checkTTLStatusItem(ctx, tableNameArray[0])
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ttlQuery.TTL = ttlQuery.TTL / 3600 // convert to hours
|
|
if ttlQuery.ColdStorageTtl != -1 {
|
|
ttlQuery.ColdStorageTtl = ttlQuery.ColdStorageTtl / 3600 // convert to hours
|
|
}
|
|
|
|
delTTL, moveTTL := parseTTL(dbResp.EngineFull)
|
|
return &model.GetTTLResponseItem{LogsTime: delTTL, LogsMoveTime: moveTTL, ExpectedLogsTime: ttlQuery.TTL, ExpectedLogsMoveTime: ttlQuery.ColdStorageTtl, Status: status}, nil
|
|
|
|
default:
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error while getting ttl. ttl type should be metrics|traces, got %v",
|
|
ttlParams.Type)}
|
|
}
|
|
|
|
}
|
|
|
|
func (r *ClickHouseReader) ListErrors(ctx context.Context, queryParams *model.ListErrorsParams) (*[]model.Error, *model.ApiError) {
|
|
|
|
var getErrorResponses []model.Error
|
|
|
|
query := "SELECT any(exceptionMessage) as exceptionMessage, count() AS exceptionCount, min(timestamp) as firstSeen, max(timestamp) as lastSeen, groupID"
|
|
if len(queryParams.ServiceName) != 0 {
|
|
query = query + ", serviceName"
|
|
} else {
|
|
query = query + ", any(serviceName) as serviceName"
|
|
}
|
|
if len(queryParams.ExceptionType) != 0 {
|
|
query = query + ", exceptionType"
|
|
} else {
|
|
query = query + ", any(exceptionType) as exceptionType"
|
|
}
|
|
query += fmt.Sprintf(" FROM %s.%s WHERE timestamp >= @timestampL AND timestamp <= @timestampU", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("timestampL", strconv.FormatInt(queryParams.Start.UnixNano(), 10)), clickhouse.Named("timestampU", strconv.FormatInt(queryParams.End.UnixNano(), 10))}
|
|
|
|
if len(queryParams.ServiceName) != 0 {
|
|
query = query + " AND serviceName ilike @serviceName"
|
|
args = append(args, clickhouse.Named("serviceName", "%"+queryParams.ServiceName+"%"))
|
|
}
|
|
if len(queryParams.ExceptionType) != 0 {
|
|
query = query + " AND exceptionType ilike @exceptionType"
|
|
args = append(args, clickhouse.Named("exceptionType", "%"+queryParams.ExceptionType+"%"))
|
|
}
|
|
|
|
// create TagQuery from TagQueryParams
|
|
tags := createTagQueryFromTagQueryParams(queryParams.Tags)
|
|
subQuery, argsSubQuery, errStatus := buildQueryWithTagParams(ctx, tags)
|
|
query += subQuery
|
|
args = append(args, argsSubQuery...)
|
|
|
|
if errStatus != nil {
|
|
zap.L().Error("Error in processing tags", zap.Error(errStatus))
|
|
return nil, errStatus
|
|
}
|
|
query = query + " GROUP BY groupID"
|
|
if len(queryParams.ServiceName) != 0 {
|
|
query = query + ", serviceName"
|
|
}
|
|
if len(queryParams.ExceptionType) != 0 {
|
|
query = query + ", exceptionType"
|
|
}
|
|
if len(queryParams.OrderParam) != 0 {
|
|
if queryParams.Order == constants.Descending {
|
|
query = query + " ORDER BY " + queryParams.OrderParam + " DESC"
|
|
} else if queryParams.Order == constants.Ascending {
|
|
query = query + " ORDER BY " + queryParams.OrderParam + " ASC"
|
|
}
|
|
}
|
|
if queryParams.Limit > 0 {
|
|
query = query + " LIMIT @limit"
|
|
args = append(args, clickhouse.Named("limit", queryParams.Limit))
|
|
}
|
|
|
|
if queryParams.Offset > 0 {
|
|
query = query + " OFFSET @offset"
|
|
args = append(args, clickhouse.Named("offset", queryParams.Offset))
|
|
}
|
|
|
|
err := r.db.Select(ctx, &getErrorResponses, query, args...)
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
|
|
return &getErrorResponses, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) CountErrors(ctx context.Context, queryParams *model.CountErrorsParams) (uint64, *model.ApiError) {
|
|
|
|
var errorCount uint64
|
|
|
|
query := fmt.Sprintf("SELECT count(distinct(groupID)) FROM %s.%s WHERE timestamp >= @timestampL AND timestamp <= @timestampU", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("timestampL", strconv.FormatInt(queryParams.Start.UnixNano(), 10)), clickhouse.Named("timestampU", strconv.FormatInt(queryParams.End.UnixNano(), 10))}
|
|
if len(queryParams.ServiceName) != 0 {
|
|
query = query + " AND serviceName ilike @serviceName"
|
|
args = append(args, clickhouse.Named("serviceName", "%"+queryParams.ServiceName+"%"))
|
|
}
|
|
if len(queryParams.ExceptionType) != 0 {
|
|
query = query + " AND exceptionType ilike @exceptionType"
|
|
args = append(args, clickhouse.Named("exceptionType", "%"+queryParams.ExceptionType+"%"))
|
|
}
|
|
|
|
// create TagQuery from TagQueryParams
|
|
tags := createTagQueryFromTagQueryParams(queryParams.Tags)
|
|
subQuery, argsSubQuery, errStatus := buildQueryWithTagParams(ctx, tags)
|
|
query += subQuery
|
|
args = append(args, argsSubQuery...)
|
|
|
|
if errStatus != nil {
|
|
zap.L().Error("Error in processing tags", zap.Error(errStatus))
|
|
return 0, errStatus
|
|
}
|
|
|
|
err := r.db.QueryRow(ctx, query, args...).Scan(&errorCount)
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return 0, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
|
|
return errorCount, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetErrorFromErrorID(ctx context.Context, queryParams *model.GetErrorParams) (*model.ErrorWithSpan, *model.ApiError) {
|
|
|
|
if queryParams.ErrorID == "" {
|
|
zap.L().Error("errorId missing from params")
|
|
return nil, &model.ApiError{Typ: model.ErrorBadData, Err: fmt.Errorf("ErrorID missing from params")}
|
|
}
|
|
var getErrorWithSpanReponse []model.ErrorWithSpan
|
|
|
|
query := fmt.Sprintf("SELECT errorID, exceptionType, exceptionStacktrace, exceptionEscaped, exceptionMessage, timestamp, spanID, traceID, serviceName, groupID FROM %s.%s WHERE timestamp = @timestamp AND groupID = @groupID AND errorID = @errorID LIMIT 1", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("errorID", queryParams.ErrorID), clickhouse.Named("groupID", queryParams.GroupID), clickhouse.Named("timestamp", strconv.FormatInt(queryParams.Timestamp.UnixNano(), 10))}
|
|
|
|
err := r.db.Select(ctx, &getErrorWithSpanReponse, query, args...)
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
|
|
if len(getErrorWithSpanReponse) > 0 {
|
|
return &getErrorWithSpanReponse[0], nil
|
|
} else {
|
|
return nil, &model.ApiError{Typ: model.ErrorNotFound, Err: fmt.Errorf("Error/Exception not found")}
|
|
}
|
|
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetErrorFromGroupID(ctx context.Context, queryParams *model.GetErrorParams) (*model.ErrorWithSpan, *model.ApiError) {
|
|
|
|
var getErrorWithSpanReponse []model.ErrorWithSpan
|
|
|
|
query := fmt.Sprintf("SELECT errorID, exceptionType, exceptionStacktrace, exceptionEscaped, exceptionMessage, timestamp, spanID, traceID, serviceName, groupID FROM %s.%s WHERE timestamp = @timestamp AND groupID = @groupID LIMIT 1", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("groupID", queryParams.GroupID), clickhouse.Named("timestamp", strconv.FormatInt(queryParams.Timestamp.UnixNano(), 10))}
|
|
|
|
err := r.db.Select(ctx, &getErrorWithSpanReponse, query, args...)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
|
|
if len(getErrorWithSpanReponse) > 0 {
|
|
return &getErrorWithSpanReponse[0], nil
|
|
} else {
|
|
return nil, &model.ApiError{Typ: model.ErrorNotFound, Err: fmt.Errorf("Error/Exception not found")}
|
|
}
|
|
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetNextPrevErrorIDs(ctx context.Context, queryParams *model.GetErrorParams) (*model.NextPrevErrorIDs, *model.ApiError) {
|
|
|
|
if queryParams.ErrorID == "" {
|
|
zap.L().Error("errorId missing from params")
|
|
return nil, &model.ApiError{Typ: model.ErrorBadData, Err: fmt.Errorf("ErrorID missing from params")}
|
|
}
|
|
var err *model.ApiError
|
|
getNextPrevErrorIDsResponse := model.NextPrevErrorIDs{
|
|
GroupID: queryParams.GroupID,
|
|
}
|
|
getNextPrevErrorIDsResponse.NextErrorID, getNextPrevErrorIDsResponse.NextTimestamp, err = r.getNextErrorID(ctx, queryParams)
|
|
if err != nil {
|
|
zap.L().Error("Unable to get next error ID due to err: ", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
getNextPrevErrorIDsResponse.PrevErrorID, getNextPrevErrorIDsResponse.PrevTimestamp, err = r.getPrevErrorID(ctx, queryParams)
|
|
if err != nil {
|
|
zap.L().Error("Unable to get prev error ID due to err: ", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
return &getNextPrevErrorIDsResponse, nil
|
|
|
|
}
|
|
|
|
func (r *ClickHouseReader) getNextErrorID(ctx context.Context, queryParams *model.GetErrorParams) (string, time.Time, *model.ApiError) {
|
|
|
|
var getNextErrorIDReponse []model.NextPrevErrorIDsDBResponse
|
|
|
|
query := fmt.Sprintf("SELECT errorID as nextErrorID, timestamp as nextTimestamp FROM %s.%s WHERE groupID = @groupID AND timestamp >= @timestamp AND errorID != @errorID ORDER BY timestamp ASC LIMIT 2", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("errorID", queryParams.ErrorID), clickhouse.Named("groupID", queryParams.GroupID), clickhouse.Named("timestamp", strconv.FormatInt(queryParams.Timestamp.UnixNano(), 10))}
|
|
|
|
err := r.db.Select(ctx, &getNextErrorIDReponse, query, args...)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return "", time.Time{}, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
if len(getNextErrorIDReponse) == 0 {
|
|
zap.L().Info("NextErrorID not found")
|
|
return "", time.Time{}, nil
|
|
} else if len(getNextErrorIDReponse) == 1 {
|
|
zap.L().Info("NextErrorID found")
|
|
return getNextErrorIDReponse[0].NextErrorID, getNextErrorIDReponse[0].NextTimestamp, nil
|
|
} else {
|
|
if getNextErrorIDReponse[0].Timestamp.UnixNano() == getNextErrorIDReponse[1].Timestamp.UnixNano() {
|
|
var getNextErrorIDReponse []model.NextPrevErrorIDsDBResponse
|
|
|
|
query := fmt.Sprintf("SELECT errorID as nextErrorID, timestamp as nextTimestamp FROM %s.%s WHERE groupID = @groupID AND timestamp = @timestamp AND errorID > @errorID ORDER BY errorID ASC LIMIT 1", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("errorID", queryParams.ErrorID), clickhouse.Named("groupID", queryParams.GroupID), clickhouse.Named("timestamp", strconv.FormatInt(queryParams.Timestamp.UnixNano(), 10))}
|
|
|
|
err := r.db.Select(ctx, &getNextErrorIDReponse, query, args...)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return "", time.Time{}, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
if len(getNextErrorIDReponse) == 0 {
|
|
var getNextErrorIDReponse []model.NextPrevErrorIDsDBResponse
|
|
|
|
query := fmt.Sprintf("SELECT errorID as nextErrorID, timestamp as nextTimestamp FROM %s.%s WHERE groupID = @groupID AND timestamp > @timestamp ORDER BY timestamp ASC LIMIT 1", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("errorID", queryParams.ErrorID), clickhouse.Named("groupID", queryParams.GroupID), clickhouse.Named("timestamp", strconv.FormatInt(queryParams.Timestamp.UnixNano(), 10))}
|
|
|
|
err := r.db.Select(ctx, &getNextErrorIDReponse, query, args...)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return "", time.Time{}, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
|
|
if len(getNextErrorIDReponse) == 0 {
|
|
zap.L().Info("NextErrorID not found")
|
|
return "", time.Time{}, nil
|
|
} else {
|
|
zap.L().Info("NextErrorID found")
|
|
return getNextErrorIDReponse[0].NextErrorID, getNextErrorIDReponse[0].NextTimestamp, nil
|
|
}
|
|
} else {
|
|
zap.L().Info("NextErrorID found")
|
|
return getNextErrorIDReponse[0].NextErrorID, getNextErrorIDReponse[0].NextTimestamp, nil
|
|
}
|
|
} else {
|
|
zap.L().Info("NextErrorID found")
|
|
return getNextErrorIDReponse[0].NextErrorID, getNextErrorIDReponse[0].NextTimestamp, nil
|
|
}
|
|
}
|
|
}
|
|
|
|
func (r *ClickHouseReader) getPrevErrorID(ctx context.Context, queryParams *model.GetErrorParams) (string, time.Time, *model.ApiError) {
|
|
|
|
var getPrevErrorIDReponse []model.NextPrevErrorIDsDBResponse
|
|
|
|
query := fmt.Sprintf("SELECT errorID as prevErrorID, timestamp as prevTimestamp FROM %s.%s WHERE groupID = @groupID AND timestamp <= @timestamp AND errorID != @errorID ORDER BY timestamp DESC LIMIT 2", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("errorID", queryParams.ErrorID), clickhouse.Named("groupID", queryParams.GroupID), clickhouse.Named("timestamp", strconv.FormatInt(queryParams.Timestamp.UnixNano(), 10))}
|
|
|
|
err := r.db.Select(ctx, &getPrevErrorIDReponse, query, args...)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return "", time.Time{}, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
if len(getPrevErrorIDReponse) == 0 {
|
|
zap.L().Info("PrevErrorID not found")
|
|
return "", time.Time{}, nil
|
|
} else if len(getPrevErrorIDReponse) == 1 {
|
|
zap.L().Info("PrevErrorID found")
|
|
return getPrevErrorIDReponse[0].PrevErrorID, getPrevErrorIDReponse[0].PrevTimestamp, nil
|
|
} else {
|
|
if getPrevErrorIDReponse[0].Timestamp.UnixNano() == getPrevErrorIDReponse[1].Timestamp.UnixNano() {
|
|
var getPrevErrorIDReponse []model.NextPrevErrorIDsDBResponse
|
|
|
|
query := fmt.Sprintf("SELECT errorID as prevErrorID, timestamp as prevTimestamp FROM %s.%s WHERE groupID = @groupID AND timestamp = @timestamp AND errorID < @errorID ORDER BY errorID DESC LIMIT 1", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("errorID", queryParams.ErrorID), clickhouse.Named("groupID", queryParams.GroupID), clickhouse.Named("timestamp", strconv.FormatInt(queryParams.Timestamp.UnixNano(), 10))}
|
|
|
|
err := r.db.Select(ctx, &getPrevErrorIDReponse, query, args...)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return "", time.Time{}, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
if len(getPrevErrorIDReponse) == 0 {
|
|
var getPrevErrorIDReponse []model.NextPrevErrorIDsDBResponse
|
|
|
|
query := fmt.Sprintf("SELECT errorID as prevErrorID, timestamp as prevTimestamp FROM %s.%s WHERE groupID = @groupID AND timestamp < @timestamp ORDER BY timestamp DESC LIMIT 1", r.TraceDB, r.errorTable)
|
|
args := []interface{}{clickhouse.Named("errorID", queryParams.ErrorID), clickhouse.Named("groupID", queryParams.GroupID), clickhouse.Named("timestamp", strconv.FormatInt(queryParams.Timestamp.UnixNano(), 10))}
|
|
|
|
err := r.db.Select(ctx, &getPrevErrorIDReponse, query, args...)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return "", time.Time{}, &model.ApiError{Typ: model.ErrorExec, Err: fmt.Errorf("error in processing sql query")}
|
|
}
|
|
|
|
if len(getPrevErrorIDReponse) == 0 {
|
|
zap.L().Info("PrevErrorID not found")
|
|
return "", time.Time{}, nil
|
|
} else {
|
|
zap.L().Info("PrevErrorID found")
|
|
return getPrevErrorIDReponse[0].PrevErrorID, getPrevErrorIDReponse[0].PrevTimestamp, nil
|
|
}
|
|
} else {
|
|
zap.L().Info("PrevErrorID found")
|
|
return getPrevErrorIDReponse[0].PrevErrorID, getPrevErrorIDReponse[0].PrevTimestamp, nil
|
|
}
|
|
} else {
|
|
zap.L().Info("PrevErrorID found")
|
|
return getPrevErrorIDReponse[0].PrevErrorID, getPrevErrorIDReponse[0].PrevTimestamp, nil
|
|
}
|
|
}
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTotalSpans(ctx context.Context) (uint64, error) {
|
|
|
|
var totalSpans uint64
|
|
|
|
queryStr := fmt.Sprintf("SELECT count() from %s.%s;", signozTraceDBName, r.traceTableName)
|
|
r.db.QueryRow(ctx, queryStr).Scan(&totalSpans)
|
|
|
|
return totalSpans, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetSpansInLastHeartBeatInterval(ctx context.Context, interval time.Duration) (uint64, error) {
|
|
|
|
var spansInLastHeartBeatInterval uint64
|
|
|
|
queryStr := fmt.Sprintf("SELECT count() from %s.%s where timestamp > toUnixTimestamp(now()-toIntervalMinute(%d));", signozTraceDBName, signozSpansTable, int(interval.Minutes()))
|
|
if r.useTraceNewSchema {
|
|
queryStr = fmt.Sprintf("SELECT count() from %s.%s where ts_bucket_start >= toUInt64(toUnixTimestamp(now() - toIntervalMinute(%d))) - 1800 and timestamp > toUnixTimestamp(now()-toIntervalMinute(%d));", signozTraceDBName, r.traceTableName, int(interval.Minutes()), int(interval.Minutes()))
|
|
}
|
|
r.db.QueryRow(ctx, queryStr).Scan(&spansInLastHeartBeatInterval)
|
|
|
|
return spansInLastHeartBeatInterval, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTotalLogs(ctx context.Context) (uint64, error) {
|
|
|
|
var totalLogs uint64
|
|
|
|
queryStr := fmt.Sprintf("SELECT count() from %s.%s;", r.logsDB, r.logsTableName)
|
|
r.db.QueryRow(ctx, queryStr).Scan(&totalLogs)
|
|
|
|
return totalLogs, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) FetchTemporality(ctx context.Context, metricNames []string) (map[string]map[v3.Temporality]bool, error) {
|
|
|
|
metricNameToTemporality := make(map[string]map[v3.Temporality]bool)
|
|
|
|
query := fmt.Sprintf(`SELECT DISTINCT metric_name, temporality FROM %s.%s WHERE metric_name IN $1`, signozMetricDBName, signozTSTableNameV41Day)
|
|
|
|
rows, err := r.db.Query(ctx, query, metricNames)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
defer rows.Close()
|
|
|
|
for rows.Next() {
|
|
var metricName, temporality string
|
|
err := rows.Scan(&metricName, &temporality)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if _, ok := metricNameToTemporality[metricName]; !ok {
|
|
metricNameToTemporality[metricName] = make(map[v3.Temporality]bool)
|
|
}
|
|
metricNameToTemporality[metricName][v3.Temporality(temporality)] = true
|
|
}
|
|
return metricNameToTemporality, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTimeSeriesInfo(ctx context.Context) (map[string]interface{}, error) {
|
|
|
|
queryStr := fmt.Sprintf("SELECT countDistinct(fingerprint) as count from %s.%s where metric_name not like 'signoz_%%' group by metric_name order by count desc;", signozMetricDBName, signozTSTableNameV41Day)
|
|
|
|
rows, _ := r.db.Query(ctx, queryStr)
|
|
|
|
var totalTS uint64
|
|
totalTS = 0
|
|
|
|
var maxTS uint64
|
|
maxTS = 0
|
|
|
|
count := 0
|
|
for rows.Next() {
|
|
|
|
var value uint64
|
|
rows.Scan(&value)
|
|
totalTS += value
|
|
if count == 0 {
|
|
maxTS = value
|
|
}
|
|
count += 1
|
|
}
|
|
|
|
timeSeriesData := map[string]interface{}{}
|
|
timeSeriesData["totalTS"] = totalTS
|
|
timeSeriesData["maxTS"] = maxTS
|
|
|
|
return timeSeriesData, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetSamplesInfoInLastHeartBeatInterval(ctx context.Context, interval time.Duration) (uint64, error) {
|
|
|
|
var totalSamples uint64
|
|
|
|
queryStr := fmt.Sprintf("select count() from %s.%s where metric_name not like 'signoz_%%' and unix_milli > toUnixTimestamp(now()-toIntervalMinute(%d))*1000;", signozMetricDBName, signozSampleTableName, int(interval.Minutes()))
|
|
|
|
r.db.QueryRow(ctx, queryStr).Scan(&totalSamples)
|
|
|
|
return totalSamples, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTotalSamples(ctx context.Context) (uint64, error) {
|
|
var totalSamples uint64
|
|
|
|
queryStr := fmt.Sprintf("select count() from %s.%s where metric_name not like 'signoz_%%';", signozMetricDBName, signozSampleTableName)
|
|
|
|
r.db.QueryRow(ctx, queryStr).Scan(&totalSamples)
|
|
|
|
return totalSamples, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetDistributedInfoInLastHeartBeatInterval(ctx context.Context) (map[string]interface{}, error) {
|
|
|
|
clusterInfo := []model.ClusterInfo{}
|
|
|
|
queryStr := `SELECT shard_num, shard_weight, replica_num, errors_count, slowdowns_count, estimated_recovery_time FROM system.clusters where cluster='cluster';`
|
|
r.db.Select(ctx, &clusterInfo, queryStr)
|
|
if len(clusterInfo) == 1 {
|
|
return clusterInfo[0].GetMapFromStruct(), nil
|
|
}
|
|
|
|
return nil, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetLogsInfoInLastHeartBeatInterval(ctx context.Context, interval time.Duration) (uint64, error) {
|
|
|
|
var totalLogLines uint64
|
|
|
|
queryStr := fmt.Sprintf("select count() from %s.%s where timestamp > toUnixTimestamp(now()-toIntervalMinute(%d))*1000000000;", r.logsDB, r.logsTable, int(interval.Minutes()))
|
|
|
|
err := r.db.QueryRow(ctx, queryStr).Scan(&totalLogLines)
|
|
|
|
return totalLogLines, err
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTagsInfoInLastHeartBeatInterval(ctx context.Context, interval time.Duration) (*model.TagsInfo, error) {
|
|
queryStr := fmt.Sprintf(`select serviceName, stringTagMap['deployment.environment'] as env,
|
|
stringTagMap['telemetry.sdk.language'] as language from %s.%s
|
|
where timestamp > toUnixTimestamp(now()-toIntervalMinute(%d))
|
|
group by serviceName, env, language;`, r.TraceDB, r.traceTableName, int(interval.Minutes()))
|
|
|
|
if r.useTraceNewSchema {
|
|
queryStr = fmt.Sprintf(`select serviceName, resources_string['deployment.environment'] as env,
|
|
resources_string['telemetry.sdk.language'] as language from %s.%s
|
|
where timestamp > toUnixTimestamp(now()-toIntervalMinute(%d))
|
|
group by serviceName, env, language;`, r.TraceDB, r.traceTableName, int(interval.Minutes()))
|
|
}
|
|
|
|
tagTelemetryDataList := []model.TagTelemetryData{}
|
|
err := r.db.Select(ctx, &tagTelemetryDataList, queryStr)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query: ", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
|
|
tagsInfo := model.TagsInfo{
|
|
Languages: make(map[string]interface{}),
|
|
Services: make(map[string]interface{}),
|
|
}
|
|
|
|
for _, tagTelemetryData := range tagTelemetryDataList {
|
|
|
|
if len(tagTelemetryData.ServiceName) != 0 && strings.Contains(tagTelemetryData.ServiceName, "prod") {
|
|
tagsInfo.Env = tagTelemetryData.ServiceName
|
|
}
|
|
if len(tagTelemetryData.Env) != 0 && strings.Contains(tagTelemetryData.Env, "prod") {
|
|
tagsInfo.Env = tagTelemetryData.Env
|
|
}
|
|
if len(tagTelemetryData.Language) != 0 {
|
|
tagsInfo.Languages[tagTelemetryData.Language] = struct{}{}
|
|
}
|
|
if len(tagTelemetryData.ServiceName) != 0 {
|
|
tagsInfo.Services[tagTelemetryData.ServiceName] = struct{}{}
|
|
}
|
|
|
|
}
|
|
|
|
return &tagsInfo, nil
|
|
}
|
|
|
|
// remove this after sometime
|
|
func removeUnderscoreDuplicateFields(fields []model.Field) []model.Field {
|
|
lookup := map[string]model.Field{}
|
|
for _, v := range fields {
|
|
lookup[v.Name+v.DataType] = v
|
|
}
|
|
|
|
for k := range lookup {
|
|
if strings.Contains(k, ".") {
|
|
delete(lookup, strings.ReplaceAll(k, ".", "_"))
|
|
}
|
|
}
|
|
|
|
updatedFields := []model.Field{}
|
|
for _, v := range lookup {
|
|
updatedFields = append(updatedFields, v)
|
|
}
|
|
return updatedFields
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetLogFields(ctx context.Context) (*model.GetFieldsResponse, *model.ApiError) {
|
|
// response will contain top level fields from the otel log model
|
|
response := model.GetFieldsResponse{
|
|
Selected: constants.StaticSelectedLogFields,
|
|
Interesting: []model.Field{},
|
|
}
|
|
|
|
// get attribute keys
|
|
attributes := []model.Field{}
|
|
query := fmt.Sprintf("SELECT DISTINCT name, datatype from %s.%s group by name, datatype", r.logsDB, r.logsAttributeKeys)
|
|
err := r.db.Select(ctx, &attributes, query)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
// get resource keys
|
|
resources := []model.Field{}
|
|
query = fmt.Sprintf("SELECT DISTINCT name, datatype from %s.%s group by name, datatype", r.logsDB, r.logsResourceKeys)
|
|
err = r.db.Select(ctx, &resources, query)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
//remove this code after sometime
|
|
attributes = removeUnderscoreDuplicateFields(attributes)
|
|
resources = removeUnderscoreDuplicateFields(resources)
|
|
|
|
statements := []model.ShowCreateTableStatement{}
|
|
query = fmt.Sprintf("SHOW CREATE TABLE %s.%s", r.logsDB, r.logsLocalTableName)
|
|
err = r.db.Select(ctx, &statements, query)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
r.extractSelectedAndInterestingFields(statements[0].Statement, constants.Attributes, &attributes, &response)
|
|
r.extractSelectedAndInterestingFields(statements[0].Statement, constants.Resources, &resources, &response)
|
|
|
|
return &response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) extractSelectedAndInterestingFields(tableStatement string, overrideFieldType string, fields *[]model.Field, response *model.GetFieldsResponse) {
|
|
for _, field := range *fields {
|
|
if overrideFieldType != "" {
|
|
field.Type = overrideFieldType
|
|
}
|
|
// all static fields are assumed to be selected as we don't allow changing them
|
|
if isColumn(r.useLogsNewSchema, tableStatement, field.Type, field.Name, field.DataType) {
|
|
response.Selected = append(response.Selected, field)
|
|
} else {
|
|
response.Interesting = append(response.Interesting, field)
|
|
}
|
|
}
|
|
}
|
|
|
|
func (r *ClickHouseReader) UpdateLogFieldV2(ctx context.Context, field *model.UpdateField) *model.ApiError {
|
|
if !field.Selected {
|
|
return model.ForbiddenError(errors.New("removing a selected field is not allowed, please reach out to support."))
|
|
}
|
|
|
|
colname := utils.GetClickhouseColumnNameV2(field.Type, field.DataType, field.Name)
|
|
|
|
dataType := strings.ToLower(field.DataType)
|
|
if dataType == "int64" || dataType == "float64" {
|
|
dataType = "number"
|
|
}
|
|
attrColName := fmt.Sprintf("%s_%s", field.Type, dataType)
|
|
for _, table := range []string{r.logsLocalTableV2, r.logsTableV2} {
|
|
q := "ALTER TABLE %s.%s ON CLUSTER %s ADD COLUMN IF NOT EXISTS `%s` %s DEFAULT %s['%s'] CODEC(ZSTD(1))"
|
|
query := fmt.Sprintf(q,
|
|
r.logsDB, table,
|
|
r.cluster,
|
|
colname, field.DataType,
|
|
attrColName,
|
|
field.Name,
|
|
)
|
|
err := r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
query = fmt.Sprintf("ALTER TABLE %s.%s ON CLUSTER %s ADD COLUMN IF NOT EXISTS `%s_exists` bool DEFAULT if(mapContains(%s, '%s') != 0, true, false) CODEC(ZSTD(1))",
|
|
r.logsDB, table,
|
|
r.cluster,
|
|
colname,
|
|
attrColName,
|
|
field.Name,
|
|
)
|
|
err = r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
}
|
|
|
|
// create the index
|
|
if strings.ToLower(field.DataType) == "bool" {
|
|
// there is no point in creating index for bool attributes as the cardinality is just 2
|
|
return nil
|
|
}
|
|
|
|
if field.IndexType == "" {
|
|
field.IndexType = constants.DefaultLogSkipIndexType
|
|
}
|
|
if field.IndexGranularity == 0 {
|
|
field.IndexGranularity = constants.DefaultLogSkipIndexGranularity
|
|
}
|
|
query := fmt.Sprintf("ALTER TABLE %s.%s ON CLUSTER %s ADD INDEX IF NOT EXISTS `%s_idx` (`%s`) TYPE %s GRANULARITY %d",
|
|
r.logsDB, r.logsLocalTableV2,
|
|
r.cluster,
|
|
colname,
|
|
colname,
|
|
field.IndexType,
|
|
field.IndexGranularity,
|
|
)
|
|
err := r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) UpdateLogField(ctx context.Context, field *model.UpdateField) *model.ApiError {
|
|
// don't allow updating static fields
|
|
if field.Type == constants.Static {
|
|
err := errors.New("cannot update static fields")
|
|
return &model.ApiError{Err: err, Typ: model.ErrorBadData}
|
|
}
|
|
|
|
if r.useLogsNewSchema {
|
|
return r.UpdateLogFieldV2(ctx, field)
|
|
}
|
|
|
|
// if a field is selected it means that the field needs to be indexed
|
|
if field.Selected {
|
|
colname := utils.GetClickhouseColumnName(field.Type, field.DataType, field.Name)
|
|
|
|
keyColName := fmt.Sprintf("%s_%s_key", field.Type, strings.ToLower(field.DataType))
|
|
valueColName := fmt.Sprintf("%s_%s_value", field.Type, strings.ToLower(field.DataType))
|
|
|
|
// create materialized column
|
|
|
|
for _, table := range []string{r.logsLocalTable, r.logsTable} {
|
|
q := "ALTER TABLE %s.%s ON CLUSTER %s ADD COLUMN IF NOT EXISTS %s %s DEFAULT %s[indexOf(%s, '%s')] CODEC(ZSTD(1))"
|
|
query := fmt.Sprintf(q,
|
|
r.logsDB, table,
|
|
r.cluster,
|
|
colname, field.DataType,
|
|
valueColName,
|
|
keyColName,
|
|
field.Name,
|
|
)
|
|
err := r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
query = fmt.Sprintf("ALTER TABLE %s.%s ON CLUSTER %s ADD COLUMN IF NOT EXISTS %s_exists` bool DEFAULT if(indexOf(%s, '%s') != 0, true, false) CODEC(ZSTD(1))",
|
|
r.logsDB, table,
|
|
r.cluster,
|
|
strings.TrimSuffix(colname, "`"),
|
|
keyColName,
|
|
field.Name,
|
|
)
|
|
err = r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
}
|
|
|
|
// create the index
|
|
if strings.ToLower(field.DataType) == "bool" {
|
|
// there is no point in creating index for bool attributes as the cardinality is just 2
|
|
return nil
|
|
}
|
|
|
|
if field.IndexType == "" {
|
|
field.IndexType = constants.DefaultLogSkipIndexType
|
|
}
|
|
if field.IndexGranularity == 0 {
|
|
field.IndexGranularity = constants.DefaultLogSkipIndexGranularity
|
|
}
|
|
query := fmt.Sprintf("ALTER TABLE %s.%s ON CLUSTER %s ADD INDEX IF NOT EXISTS %s_idx` (%s) TYPE %s GRANULARITY %d",
|
|
r.logsDB, r.logsLocalTable,
|
|
r.cluster,
|
|
strings.TrimSuffix(colname, "`"),
|
|
colname,
|
|
field.IndexType,
|
|
field.IndexGranularity,
|
|
)
|
|
err := r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
} else {
|
|
// We are not allowing to delete a materialized column
|
|
// For more details please check https://github.com/SigNoz/signoz/issues/4566
|
|
return model.ForbiddenError(errors.New("Removing a selected field is not allowed, please reach out to support."))
|
|
|
|
// Delete the index first
|
|
// query := fmt.Sprintf("ALTER TABLE %s.%s ON CLUSTER %s DROP INDEX IF EXISTS %s_idx`", r.logsDB, r.logsLocalTable, r.cluster, strings.TrimSuffix(colname, "`"))
|
|
// err := r.db.Exec(ctx, query)
|
|
// if err != nil {
|
|
// return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
// }
|
|
|
|
// for _, table := range []string{r.logsTable, r.logsLocalTable} {
|
|
// // drop materialized column from logs table
|
|
// query := "ALTER TABLE %s.%s ON CLUSTER %s DROP COLUMN IF EXISTS %s "
|
|
// err := r.db.Exec(ctx, fmt.Sprintf(query,
|
|
// r.logsDB, table,
|
|
// r.cluster,
|
|
// colname,
|
|
// ),
|
|
// )
|
|
// if err != nil {
|
|
// return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
// }
|
|
|
|
// // drop exists column on logs table
|
|
// query = "ALTER TABLE %s.%s ON CLUSTER %s DROP COLUMN IF EXISTS %s_exists` "
|
|
// err = r.db.Exec(ctx, fmt.Sprintf(query,
|
|
// r.logsDB, table,
|
|
// r.cluster,
|
|
// strings.TrimSuffix(colname, "`"),
|
|
// ),
|
|
// )
|
|
// if err != nil {
|
|
// return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
// }
|
|
// }
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTraceFields(ctx context.Context) (*model.GetFieldsResponse, *model.ApiError) {
|
|
// response will contain top level fields from the otel trace model
|
|
response := model.GetFieldsResponse{
|
|
Selected: []model.Field{},
|
|
Interesting: []model.Field{},
|
|
}
|
|
|
|
// get the top level selected fields
|
|
for _, field := range constants.NewStaticFieldsTraces {
|
|
if (v3.AttributeKey{} == field) {
|
|
continue
|
|
}
|
|
response.Selected = append(response.Selected, model.Field{
|
|
Name: field.Key,
|
|
DataType: field.DataType.String(),
|
|
Type: constants.Static,
|
|
})
|
|
}
|
|
|
|
// get attribute keys
|
|
attributes := []model.Field{}
|
|
query := fmt.Sprintf("SELECT tagKey, tagType, dataType from %s.%s group by tagKey, tagType, dataType", r.TraceDB, r.spanAttributesKeysTable)
|
|
rows, err := r.db.Query(ctx, query)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
defer rows.Close()
|
|
|
|
var tagKey string
|
|
var dataType string
|
|
var tagType string
|
|
for rows.Next() {
|
|
if err := rows.Scan(&tagKey, &tagType, &dataType); err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
attributes = append(attributes, model.Field{
|
|
Name: tagKey,
|
|
DataType: dataType,
|
|
Type: tagType,
|
|
})
|
|
}
|
|
|
|
statements := []model.ShowCreateTableStatement{}
|
|
query = fmt.Sprintf("SHOW CREATE TABLE %s.%s", r.TraceDB, r.traceLocalTableName)
|
|
err = r.db.Select(ctx, &statements, query)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
r.extractSelectedAndInterestingFields(statements[0].Statement, "", &attributes, &response)
|
|
|
|
return &response, nil
|
|
|
|
}
|
|
|
|
func (r *ClickHouseReader) UpdateTraceField(ctx context.Context, field *model.UpdateField) *model.ApiError {
|
|
if !field.Selected {
|
|
return model.ForbiddenError(errors.New("removing a selected field is not allowed, please reach out to support."))
|
|
}
|
|
|
|
// name of the materialized column
|
|
colname := utils.GetClickhouseColumnNameV2(field.Type, field.DataType, field.Name)
|
|
|
|
field.DataType = strings.ToLower(field.DataType)
|
|
|
|
// dataType and chDataType of the materialized column
|
|
var dataTypeMap = map[string]string{
|
|
"string": "string",
|
|
"bool": "bool",
|
|
"int64": "number",
|
|
"float64": "number",
|
|
}
|
|
var chDataTypeMap = map[string]string{
|
|
"string": "String",
|
|
"bool": "Bool",
|
|
"int64": "Float64",
|
|
"float64": "Float64",
|
|
}
|
|
chDataType := chDataTypeMap[field.DataType]
|
|
dataType := dataTypeMap[field.DataType]
|
|
|
|
// typeName: tag => attributes, resource => resources
|
|
typeName := field.Type
|
|
if field.Type == string(v3.AttributeKeyTypeTag) {
|
|
typeName = constants.Attributes
|
|
} else if field.Type == string(v3.AttributeKeyTypeResource) {
|
|
typeName = constants.Resources
|
|
}
|
|
|
|
attrColName := fmt.Sprintf("%s_%s", typeName, dataType)
|
|
for _, table := range []string{r.traceLocalTableName, r.traceTableName} {
|
|
q := "ALTER TABLE %s.%s ON CLUSTER %s ADD COLUMN IF NOT EXISTS `%s` %s DEFAULT %s['%s'] CODEC(ZSTD(1))"
|
|
query := fmt.Sprintf(q,
|
|
r.TraceDB, table,
|
|
r.cluster,
|
|
colname, chDataType,
|
|
attrColName,
|
|
field.Name,
|
|
)
|
|
err := r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
query = fmt.Sprintf("ALTER TABLE %s.%s ON CLUSTER %s ADD COLUMN IF NOT EXISTS `%s_exists` bool DEFAULT if(mapContains(%s, '%s') != 0, true, false) CODEC(ZSTD(1))",
|
|
r.TraceDB, table,
|
|
r.cluster,
|
|
colname,
|
|
attrColName,
|
|
field.Name,
|
|
)
|
|
err = r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
}
|
|
|
|
// create the index
|
|
if strings.ToLower(field.DataType) == "bool" {
|
|
// there is no point in creating index for bool attributes as the cardinality is just 2
|
|
return nil
|
|
}
|
|
|
|
if field.IndexType == "" {
|
|
field.IndexType = constants.DefaultLogSkipIndexType
|
|
}
|
|
if field.IndexGranularity == 0 {
|
|
field.IndexGranularity = constants.DefaultLogSkipIndexGranularity
|
|
}
|
|
query := fmt.Sprintf("ALTER TABLE %s.%s ON CLUSTER %s ADD INDEX IF NOT EXISTS `%s_idx` (`%s`) TYPE %s GRANULARITY %d",
|
|
r.TraceDB, r.traceLocalTableName,
|
|
r.cluster,
|
|
colname,
|
|
colname,
|
|
field.IndexType,
|
|
field.IndexGranularity,
|
|
)
|
|
err := r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
// add a default minmax index for numbers
|
|
if dataType == "number" {
|
|
query = fmt.Sprintf("ALTER TABLE %s.%s ON CLUSTER %s ADD INDEX IF NOT EXISTS `%s_minmax_idx` (`%s`) TYPE minmax GRANULARITY 1",
|
|
r.TraceDB, r.traceLocalTableName,
|
|
r.cluster,
|
|
colname,
|
|
colname,
|
|
)
|
|
err = r.db.Exec(ctx, query)
|
|
if err != nil {
|
|
return &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetLogs(ctx context.Context, params *model.LogsFilterParams) (*[]model.SignozLog, *model.ApiError) {
|
|
response := []model.SignozLog{}
|
|
fields, apiErr := r.GetLogFields(ctx)
|
|
if apiErr != nil {
|
|
return nil, apiErr
|
|
}
|
|
|
|
isPaginatePrev := logs.CheckIfPrevousPaginateAndModifyOrder(params)
|
|
filterSql, lenFilters, err := logs.GenerateSQLWhere(fields, params)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorBadData}
|
|
}
|
|
|
|
data := map[string]interface{}{
|
|
"lenFilters": lenFilters,
|
|
}
|
|
if lenFilters != 0 {
|
|
userEmail, err := auth.GetEmailFromJwt(ctx)
|
|
if err == nil {
|
|
telemetry.GetInstance().SendEvent(telemetry.TELEMETRY_EVENT_LOGS_FILTERS, data, userEmail, true, false)
|
|
}
|
|
}
|
|
|
|
query := fmt.Sprintf("%s from %s.%s", constants.LogsSQLSelect, r.logsDB, r.logsTable)
|
|
|
|
if filterSql != "" {
|
|
query = fmt.Sprintf("%s where %s", query, filterSql)
|
|
}
|
|
|
|
query = fmt.Sprintf("%s order by %s %s limit %d", query, params.OrderBy, params.Order, params.Limit)
|
|
err = r.db.Select(ctx, &response, query)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
if isPaginatePrev {
|
|
// rever the results from db
|
|
for i, j := 0, len(response)-1; i < j; i, j = i+1, j-1 {
|
|
response[i], response[j] = response[j], response[i]
|
|
}
|
|
}
|
|
return &response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) TailLogs(ctx context.Context, client *model.LogsTailClient) {
|
|
|
|
fields, apiErr := r.GetLogFields(ctx)
|
|
if apiErr != nil {
|
|
client.Error <- apiErr.Err
|
|
return
|
|
}
|
|
|
|
filterSql, lenFilters, err := logs.GenerateSQLWhere(fields, &model.LogsFilterParams{
|
|
Query: client.Filter.Query,
|
|
})
|
|
|
|
data := map[string]interface{}{
|
|
"lenFilters": lenFilters,
|
|
}
|
|
if lenFilters != 0 {
|
|
userEmail, err := auth.GetEmailFromJwt(ctx)
|
|
if err == nil {
|
|
telemetry.GetInstance().SendEvent(telemetry.TELEMETRY_EVENT_LOGS_FILTERS, data, userEmail, true, false)
|
|
}
|
|
}
|
|
|
|
if err != nil {
|
|
client.Error <- err
|
|
return
|
|
}
|
|
|
|
query := fmt.Sprintf("%s from %s.%s", constants.LogsSQLSelect, r.logsDB, r.logsTable)
|
|
|
|
tsStart := uint64(time.Now().UnixNano())
|
|
if client.Filter.TimestampStart != 0 {
|
|
tsStart = client.Filter.TimestampStart
|
|
}
|
|
|
|
var idStart string
|
|
if client.Filter.IdGt != "" {
|
|
idStart = client.Filter.IdGt
|
|
}
|
|
|
|
ticker := time.NewTicker(time.Duration(r.liveTailRefreshSeconds) * time.Second)
|
|
defer ticker.Stop()
|
|
for {
|
|
select {
|
|
case <-ctx.Done():
|
|
done := true
|
|
client.Done <- &done
|
|
zap.L().Debug("closing go routine : " + client.Name)
|
|
return
|
|
case <-ticker.C:
|
|
// get the new 100 logs as anything more older won't make sense
|
|
tmpQuery := fmt.Sprintf("%s where timestamp >='%d'", query, tsStart)
|
|
if filterSql != "" {
|
|
tmpQuery = fmt.Sprintf("%s and %s", tmpQuery, filterSql)
|
|
}
|
|
if idStart != "" {
|
|
tmpQuery = fmt.Sprintf("%s and id > '%s'", tmpQuery, idStart)
|
|
}
|
|
tmpQuery = fmt.Sprintf("%s order by timestamp desc, id desc limit 100", tmpQuery)
|
|
response := []model.SignozLog{}
|
|
err := r.db.Select(ctx, &response, tmpQuery)
|
|
if err != nil {
|
|
zap.L().Error("Error while getting logs", zap.Error(err))
|
|
client.Error <- err
|
|
return
|
|
}
|
|
for i := len(response) - 1; i >= 0; i-- {
|
|
select {
|
|
case <-ctx.Done():
|
|
done := true
|
|
client.Done <- &done
|
|
zap.L().Debug("closing go routine while sending logs : " + client.Name)
|
|
return
|
|
default:
|
|
client.Logs <- &response[i]
|
|
if i == 0 {
|
|
tsStart = response[i].Timestamp
|
|
idStart = response[i].ID
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
func (r *ClickHouseReader) AggregateLogs(ctx context.Context, params *model.LogsAggregateParams) (*model.GetLogsAggregatesResponse, *model.ApiError) {
|
|
logAggregatesDBResponseItems := []model.LogsAggregatesDBResponseItem{}
|
|
|
|
function := "toFloat64(count()) as value"
|
|
if params.Function != "" {
|
|
function = fmt.Sprintf("toFloat64(%s) as value", params.Function)
|
|
}
|
|
|
|
fields, apiErr := r.GetLogFields(ctx)
|
|
if apiErr != nil {
|
|
return nil, apiErr
|
|
}
|
|
|
|
filterSql, lenFilters, err := logs.GenerateSQLWhere(fields, &model.LogsFilterParams{
|
|
Query: params.Query,
|
|
})
|
|
if err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorBadData}
|
|
}
|
|
|
|
data := map[string]interface{}{
|
|
"lenFilters": lenFilters,
|
|
}
|
|
if lenFilters != 0 {
|
|
userEmail, err := auth.GetEmailFromJwt(ctx)
|
|
if err == nil {
|
|
telemetry.GetInstance().SendEvent(telemetry.TELEMETRY_EVENT_LOGS_FILTERS, data, userEmail, true, false)
|
|
}
|
|
}
|
|
|
|
query := ""
|
|
if params.GroupBy != "" {
|
|
query = fmt.Sprintf("SELECT toInt64(toUnixTimestamp(toStartOfInterval(toDateTime(timestamp/1000000000), INTERVAL %d minute))*1000000000) as ts_start_interval, toString(%s) as groupBy, "+
|
|
"%s "+
|
|
"FROM %s.%s WHERE (timestamp >= '%d' AND timestamp <= '%d' )",
|
|
params.StepSeconds/60, params.GroupBy, function, r.logsDB, r.logsTable, params.TimestampStart, params.TimestampEnd)
|
|
} else {
|
|
query = fmt.Sprintf("SELECT toInt64(toUnixTimestamp(toStartOfInterval(toDateTime(timestamp/1000000000), INTERVAL %d minute))*1000000000) as ts_start_interval, "+
|
|
"%s "+
|
|
"FROM %s.%s WHERE (timestamp >= '%d' AND timestamp <= '%d' )",
|
|
params.StepSeconds/60, function, r.logsDB, r.logsTable, params.TimestampStart, params.TimestampEnd)
|
|
}
|
|
if filterSql != "" {
|
|
query = fmt.Sprintf("%s AND ( %s ) ", query, filterSql)
|
|
}
|
|
if params.GroupBy != "" {
|
|
query = fmt.Sprintf("%s GROUP BY ts_start_interval, toString(%s) as groupBy ORDER BY ts_start_interval", query, params.GroupBy)
|
|
} else {
|
|
query = fmt.Sprintf("%s GROUP BY ts_start_interval ORDER BY ts_start_interval", query)
|
|
}
|
|
|
|
err = r.db.Select(ctx, &logAggregatesDBResponseItems, query)
|
|
if err != nil {
|
|
return nil, &model.ApiError{Err: err, Typ: model.ErrorInternal}
|
|
}
|
|
|
|
aggregateResponse := model.GetLogsAggregatesResponse{
|
|
Items: make(map[int64]model.LogsAggregatesResponseItem),
|
|
}
|
|
|
|
for i := range logAggregatesDBResponseItems {
|
|
if elem, ok := aggregateResponse.Items[int64(logAggregatesDBResponseItems[i].Timestamp)]; ok {
|
|
if params.GroupBy != "" && logAggregatesDBResponseItems[i].GroupBy != "" {
|
|
elem.GroupBy[logAggregatesDBResponseItems[i].GroupBy] = logAggregatesDBResponseItems[i].Value
|
|
}
|
|
aggregateResponse.Items[logAggregatesDBResponseItems[i].Timestamp] = elem
|
|
} else {
|
|
if params.GroupBy != "" && logAggregatesDBResponseItems[i].GroupBy != "" {
|
|
aggregateResponse.Items[logAggregatesDBResponseItems[i].Timestamp] = model.LogsAggregatesResponseItem{
|
|
Timestamp: logAggregatesDBResponseItems[i].Timestamp,
|
|
GroupBy: map[string]interface{}{logAggregatesDBResponseItems[i].GroupBy: logAggregatesDBResponseItems[i].Value},
|
|
}
|
|
} else if params.GroupBy == "" {
|
|
aggregateResponse.Items[logAggregatesDBResponseItems[i].Timestamp] = model.LogsAggregatesResponseItem{
|
|
Timestamp: logAggregatesDBResponseItems[i].Timestamp,
|
|
Value: logAggregatesDBResponseItems[i].Value,
|
|
}
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
return &aggregateResponse, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) QueryDashboardVars(ctx context.Context, query string) (*model.DashboardVar, error) {
|
|
var result = model.DashboardVar{VariableValues: make([]interface{}, 0)}
|
|
rows, err := r.db.Query(ctx, query)
|
|
|
|
zap.L().Info(query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error in processing sql query", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
|
|
var (
|
|
columnTypes = rows.ColumnTypes()
|
|
vars = make([]interface{}, len(columnTypes))
|
|
)
|
|
for i := range columnTypes {
|
|
vars[i] = reflect.New(columnTypes[i].ScanType()).Interface()
|
|
}
|
|
|
|
defer rows.Close()
|
|
for rows.Next() {
|
|
if err := rows.Scan(vars...); err != nil {
|
|
return nil, err
|
|
}
|
|
for _, v := range vars {
|
|
switch v := v.(type) {
|
|
case *string, *int8, *int16, *int32, *int64, *uint8, *uint16, *uint32, *uint64, *float32, *float64, *time.Time, *bool:
|
|
result.VariableValues = append(result.VariableValues, reflect.ValueOf(v).Elem().Interface())
|
|
default:
|
|
return nil, fmt.Errorf("unsupported value type encountered")
|
|
}
|
|
}
|
|
}
|
|
return &result, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetMetricAggregateAttributes(
|
|
ctx context.Context,
|
|
req *v3.AggregateAttributeRequest,
|
|
skipDotNames bool,
|
|
) (*v3.AggregateAttributeResponse, error) {
|
|
|
|
var query string
|
|
var err error
|
|
var rows driver.Rows
|
|
var response v3.AggregateAttributeResponse
|
|
|
|
query = fmt.Sprintf("SELECT metric_name, type, is_monotonic, temporality FROM %s.%s WHERE metric_name ILIKE $1 GROUP BY metric_name, type, is_monotonic, temporality", signozMetricDBName, signozTSTableNameV41Day)
|
|
if req.Limit != 0 {
|
|
query = query + fmt.Sprintf(" LIMIT %d;", req.Limit)
|
|
}
|
|
rows, err = r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText))
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
seen := make(map[string]struct{})
|
|
|
|
var metricName, typ, temporality string
|
|
var isMonotonic bool
|
|
for rows.Next() {
|
|
if err := rows.Scan(&metricName, &typ, &isMonotonic, &temporality); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
if skipDotNames && strings.Contains(metricName, ".") {
|
|
continue
|
|
}
|
|
|
|
// Non-monotonic cumulative sums are treated as gauges
|
|
if typ == "Sum" && !isMonotonic && temporality == string(v3.Cumulative) {
|
|
typ = "Gauge"
|
|
}
|
|
// unlike traces/logs `tag`/`resource` type, the `Type` will be metric type
|
|
key := v3.AttributeKey{
|
|
Key: metricName,
|
|
DataType: v3.AttributeKeyDataTypeFloat64,
|
|
Type: v3.AttributeKeyType(typ),
|
|
IsColumn: true,
|
|
}
|
|
// remove duplicates
|
|
if _, ok := seen[metricName+typ]; ok {
|
|
continue
|
|
}
|
|
seen[metricName+typ] = struct{}{}
|
|
response.AttributeKeys = append(response.AttributeKeys, key)
|
|
}
|
|
|
|
return &response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetMetricAttributeKeys(ctx context.Context, req *v3.FilterAttributeKeyRequest) (*v3.FilterAttributeKeyResponse, error) {
|
|
|
|
var query string
|
|
var err error
|
|
var rows driver.Rows
|
|
var response v3.FilterAttributeKeyResponse
|
|
|
|
// skips the internal attributes i.e attributes starting with __
|
|
query = fmt.Sprintf("SELECT arrayJoin(tagKeys) AS distinctTagKey FROM (SELECT JSONExtractKeys(labels) AS tagKeys FROM %s.%s WHERE metric_name=$1 AND unix_milli >= $2 GROUP BY tagKeys) WHERE distinctTagKey ILIKE $3 AND distinctTagKey NOT LIKE '\\_\\_%%' GROUP BY distinctTagKey", signozMetricDBName, signozTSTableNameV41Day)
|
|
if req.Limit != 0 {
|
|
query = query + fmt.Sprintf(" LIMIT %d;", req.Limit)
|
|
}
|
|
rows, err = r.db.Query(ctx, query, req.AggregateAttribute, common.PastDayRoundOff(), fmt.Sprintf("%%%s%%", req.SearchText))
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
var attributeKey string
|
|
for rows.Next() {
|
|
if err := rows.Scan(&attributeKey); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
key := v3.AttributeKey{
|
|
Key: attributeKey,
|
|
DataType: v3.AttributeKeyDataTypeString, // https://github.com/OpenObservability/OpenMetrics/blob/main/proto/openmetrics_data_model.proto#L64-L72.
|
|
Type: v3.AttributeKeyTypeTag,
|
|
IsColumn: false,
|
|
}
|
|
response.AttributeKeys = append(response.AttributeKeys, key)
|
|
}
|
|
|
|
return &response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetMetricAttributeValues(ctx context.Context, req *v3.FilterAttributeValueRequest) (*v3.FilterAttributeValueResponse, error) {
|
|
|
|
var query string
|
|
var err error
|
|
var rows driver.Rows
|
|
var attributeValues v3.FilterAttributeValueResponse
|
|
|
|
query = fmt.Sprintf("SELECT JSONExtractString(labels, $1) AS tagValue FROM %s.%s WHERE metric_name=$2 AND JSONExtractString(labels, $3) ILIKE $4 AND unix_milli >= $5 GROUP BY tagValue", signozMetricDBName, signozTSTableNameV41Day)
|
|
if req.Limit != 0 {
|
|
query = query + fmt.Sprintf(" LIMIT %d;", req.Limit)
|
|
}
|
|
rows, err = r.db.Query(ctx, query, req.FilterAttributeKey, req.AggregateAttribute, req.FilterAttributeKey, fmt.Sprintf("%%%s%%", req.SearchText), common.PastDayRoundOff())
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
var atrributeValue string
|
|
for rows.Next() {
|
|
if err := rows.Scan(&atrributeValue); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
// https://github.com/OpenObservability/OpenMetrics/blob/main/proto/openmetrics_data_model.proto#L64-L72
|
|
// this may change in future if we use OTLP as the data model
|
|
attributeValues.StringAttributeValues = append(attributeValues.StringAttributeValues, atrributeValue)
|
|
}
|
|
|
|
return &attributeValues, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetMetricMetadata(ctx context.Context, metricName, serviceName string) (*v3.MetricMetadataResponse, error) {
|
|
|
|
unixMilli := common.PastDayRoundOff()
|
|
|
|
// Note: metric metadata should be accessible regardless of the time range selection
|
|
// our standard retention period is 30 days, so we are querying the table v4_1_day to reduce the
|
|
// amount of data scanned
|
|
query := fmt.Sprintf("SELECT temporality, description, type, unit, is_monotonic from %s.%s WHERE metric_name=$1 AND unix_milli >= $2 GROUP BY temporality, description, type, unit, is_monotonic", signozMetricDBName, signozTSTableNameV41Day)
|
|
rows, err := r.db.Query(ctx, query, metricName, unixMilli)
|
|
if err != nil {
|
|
zap.L().Error("Error while fetching metric metadata", zap.Error(err))
|
|
return nil, fmt.Errorf("error while fetching metric metadata: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
var deltaExists, isMonotonic bool
|
|
var temporality, description, metricType, unit string
|
|
for rows.Next() {
|
|
if err := rows.Scan(&temporality, &description, &metricType, &unit, &isMonotonic); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
if temporality == string(v3.Delta) {
|
|
deltaExists = true
|
|
}
|
|
}
|
|
|
|
query = fmt.Sprintf("SELECT JSONExtractString(labels, 'le') as le from %s.%s WHERE metric_name=$1 AND unix_milli >= $2 AND type = 'Histogram' AND JSONExtractString(labels, 'service_name') = $3 GROUP BY le ORDER BY le", signozMetricDBName, signozTSTableNameV41Day)
|
|
rows, err = r.db.Query(ctx, query, metricName, unixMilli, serviceName)
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
var leFloat64 []float64
|
|
for rows.Next() {
|
|
var leStr string
|
|
if err := rows.Scan(&leStr); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
le, err := strconv.ParseFloat(leStr, 64)
|
|
// ignore the error and continue if the value is not a float
|
|
// ideally this should not happen but we have seen ClickHouse
|
|
// returning empty string for some values
|
|
if err != nil {
|
|
zap.L().Error("error while parsing le value", zap.Error(err))
|
|
continue
|
|
}
|
|
if math.IsInf(le, 0) {
|
|
continue
|
|
}
|
|
leFloat64 = append(leFloat64, le)
|
|
}
|
|
|
|
return &v3.MetricMetadataResponse{
|
|
Delta: deltaExists,
|
|
Le: leFloat64,
|
|
Description: description,
|
|
Unit: unit,
|
|
Type: metricType,
|
|
IsMonotonic: isMonotonic,
|
|
Temporality: temporality,
|
|
}, nil
|
|
}
|
|
|
|
// GetCountOfThings returns the count of things in the query
|
|
// This is a generic function that can be used to check if any data exists for a given query
|
|
func (r *ClickHouseReader) GetCountOfThings(ctx context.Context, query string) (uint64, error) {
|
|
var count uint64
|
|
err := r.db.QueryRow(ctx, query).Scan(&count)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
return count, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetLatestReceivedMetric(
|
|
ctx context.Context, metricNames []string,
|
|
) (*model.MetricStatus, *model.ApiError) {
|
|
if len(metricNames) < 1 {
|
|
return nil, nil
|
|
}
|
|
|
|
quotedMetricNames := []string{}
|
|
for _, m := range metricNames {
|
|
quotedMetricNames = append(quotedMetricNames, fmt.Sprintf(`'%s'`, m))
|
|
}
|
|
commaSeparatedMetricNames := strings.Join(quotedMetricNames, ", ")
|
|
|
|
query := fmt.Sprintf(`
|
|
SELECT metric_name, labels, unix_milli
|
|
from %s.%s
|
|
where metric_name in (
|
|
%s
|
|
)
|
|
order by unix_milli desc
|
|
limit 1
|
|
`, signozMetricDBName, signozTSTableNameV4, commaSeparatedMetricNames,
|
|
)
|
|
|
|
rows, err := r.db.Query(ctx, query)
|
|
if err != nil {
|
|
return nil, model.InternalError(fmt.Errorf(
|
|
"couldn't query clickhouse for received metrics status: %w", err,
|
|
))
|
|
}
|
|
defer rows.Close()
|
|
|
|
var result *model.MetricStatus
|
|
|
|
if rows.Next() {
|
|
|
|
result = &model.MetricStatus{}
|
|
var labelsJson string
|
|
|
|
err := rows.Scan(
|
|
&result.MetricName,
|
|
&labelsJson,
|
|
&result.LastReceivedTsMillis,
|
|
)
|
|
if err != nil {
|
|
return nil, model.InternalError(fmt.Errorf(
|
|
"couldn't scan metric status row: %w", err,
|
|
))
|
|
}
|
|
|
|
err = json.Unmarshal([]byte(labelsJson), &result.LastReceivedLabels)
|
|
if err != nil {
|
|
return nil, model.InternalError(fmt.Errorf(
|
|
"couldn't unmarshal metric labels json: %w", err,
|
|
))
|
|
}
|
|
}
|
|
|
|
return result, nil
|
|
}
|
|
|
|
func isColumn(useLogsNewSchema bool, tableStatement, attrType, field, datType string) bool {
|
|
// value of attrType will be `resource` or `tag`, if `tag` change it to `attribute`
|
|
var name string
|
|
if useLogsNewSchema {
|
|
// adding explict '`'
|
|
name = fmt.Sprintf("`%s`", utils.GetClickhouseColumnNameV2(attrType, datType, field))
|
|
} else {
|
|
name = utils.GetClickhouseColumnName(attrType, datType, field)
|
|
}
|
|
return strings.Contains(tableStatement, fmt.Sprintf("%s ", name))
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetLogAggregateAttributes(ctx context.Context, req *v3.AggregateAttributeRequest) (*v3.AggregateAttributeResponse, error) {
|
|
|
|
var query string
|
|
var err error
|
|
var rows driver.Rows
|
|
var response v3.AggregateAttributeResponse
|
|
var stringAllowed bool
|
|
|
|
where := ""
|
|
switch req.Operator {
|
|
case
|
|
v3.AggregateOperatorCountDistinct,
|
|
v3.AggregateOperatorCount:
|
|
where = "tag_key ILIKE $1"
|
|
stringAllowed = true
|
|
case
|
|
v3.AggregateOperatorRateSum,
|
|
v3.AggregateOperatorRateMax,
|
|
v3.AggregateOperatorRateAvg,
|
|
v3.AggregateOperatorRate,
|
|
v3.AggregateOperatorRateMin,
|
|
v3.AggregateOperatorP05,
|
|
v3.AggregateOperatorP10,
|
|
v3.AggregateOperatorP20,
|
|
v3.AggregateOperatorP25,
|
|
v3.AggregateOperatorP50,
|
|
v3.AggregateOperatorP75,
|
|
v3.AggregateOperatorP90,
|
|
v3.AggregateOperatorP95,
|
|
v3.AggregateOperatorP99,
|
|
v3.AggregateOperatorAvg,
|
|
v3.AggregateOperatorSum,
|
|
v3.AggregateOperatorMin,
|
|
v3.AggregateOperatorMax:
|
|
where = "tag_key ILIKE $1 AND (tag_data_type='int64' or tag_data_type='float64')"
|
|
stringAllowed = false
|
|
case
|
|
v3.AggregateOperatorNoOp:
|
|
return &v3.AggregateAttributeResponse{}, nil
|
|
default:
|
|
return nil, fmt.Errorf("unsupported aggregate operator")
|
|
}
|
|
|
|
query = fmt.Sprintf("SELECT DISTINCT(tag_key), tag_type, tag_data_type from %s.%s WHERE %s limit $2", r.logsDB, r.logsTagAttributeTableV2, where)
|
|
rows, err = r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText), req.Limit)
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
statements := []model.ShowCreateTableStatement{}
|
|
query = fmt.Sprintf("SHOW CREATE TABLE %s.%s", r.logsDB, r.logsLocalTableName)
|
|
err = r.db.Select(ctx, &statements, query)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error while fetching logs schema: %s", err.Error())
|
|
}
|
|
|
|
var tagKey string
|
|
var dataType string
|
|
var attType string
|
|
for rows.Next() {
|
|
if err := rows.Scan(&tagKey, &attType, &dataType); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
key := v3.AttributeKey{
|
|
Key: tagKey,
|
|
DataType: v3.AttributeKeyDataType(dataType),
|
|
Type: v3.AttributeKeyType(attType),
|
|
IsColumn: isColumn(r.useLogsNewSchema, statements[0].Statement, attType, tagKey, dataType),
|
|
}
|
|
response.AttributeKeys = append(response.AttributeKeys, key)
|
|
}
|
|
// add other attributes
|
|
for _, field := range constants.StaticFieldsLogsV3 {
|
|
if (!stringAllowed && field.DataType == v3.AttributeKeyDataTypeString) || (v3.AttributeKey{} == field) {
|
|
continue
|
|
} else if len(req.SearchText) == 0 || strings.Contains(field.Key, req.SearchText) {
|
|
response.AttributeKeys = append(response.AttributeKeys, field)
|
|
}
|
|
}
|
|
|
|
return &response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetLogAttributeKeys(ctx context.Context, req *v3.FilterAttributeKeyRequest) (*v3.FilterAttributeKeyResponse, error) {
|
|
var query string
|
|
var err error
|
|
var rows driver.Rows
|
|
var response v3.FilterAttributeKeyResponse
|
|
|
|
if len(req.SearchText) != 0 {
|
|
query = fmt.Sprintf("select distinct tag_key, tag_type, tag_data_type from %s.%s where tag_key ILIKE $1 limit $2", r.logsDB, r.logsTagAttributeTableV2)
|
|
rows, err = r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText), req.Limit)
|
|
} else {
|
|
query = fmt.Sprintf("select distinct tag_key, tag_type, tag_data_type from %s.%s limit $1", r.logsDB, r.logsTagAttributeTableV2)
|
|
rows, err = r.db.Query(ctx, query, req.Limit)
|
|
}
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
statements := []model.ShowCreateTableStatement{}
|
|
query = fmt.Sprintf("SHOW CREATE TABLE %s.%s", r.logsDB, r.logsLocalTableName)
|
|
err = r.db.Select(ctx, &statements, query)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error while fetching logs schema: %s", err.Error())
|
|
}
|
|
|
|
var attributeKey string
|
|
var attributeDataType string
|
|
var tagType string
|
|
for rows.Next() {
|
|
if err := rows.Scan(&attributeKey, &tagType, &attributeDataType); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
|
|
key := v3.AttributeKey{
|
|
Key: attributeKey,
|
|
DataType: v3.AttributeKeyDataType(attributeDataType),
|
|
Type: v3.AttributeKeyType(tagType),
|
|
IsColumn: isColumn(r.useLogsNewSchema, statements[0].Statement, tagType, attributeKey, attributeDataType),
|
|
}
|
|
|
|
response.AttributeKeys = append(response.AttributeKeys, key)
|
|
}
|
|
|
|
// add other attributes
|
|
for _, f := range constants.StaticFieldsLogsV3 {
|
|
if (v3.AttributeKey{} == f) {
|
|
continue
|
|
}
|
|
if len(req.SearchText) == 0 || strings.Contains(f.Key, req.SearchText) {
|
|
response.AttributeKeys = append(response.AttributeKeys, f)
|
|
}
|
|
}
|
|
|
|
return &response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetLogAttributeValues(ctx context.Context, req *v3.FilterAttributeValueRequest) (*v3.FilterAttributeValueResponse, error) {
|
|
var err error
|
|
var filterValueColumn string
|
|
var rows driver.Rows
|
|
var attributeValues v3.FilterAttributeValueResponse
|
|
|
|
// if dataType or tagType is not present return empty response
|
|
if len(req.FilterAttributeKeyDataType) == 0 || len(req.TagType) == 0 {
|
|
// also check if it is not a top level key
|
|
if _, ok := constants.StaticFieldsLogsV3[req.FilterAttributeKey]; !ok {
|
|
return &v3.FilterAttributeValueResponse{}, nil
|
|
}
|
|
}
|
|
|
|
// ignore autocomplete request for body
|
|
if req.FilterAttributeKey == "body" || req.FilterAttributeKey == "__attrs" {
|
|
return &v3.FilterAttributeValueResponse{}, nil
|
|
}
|
|
|
|
// if data type is bool, return true and false
|
|
if req.FilterAttributeKeyDataType == v3.AttributeKeyDataTypeBool {
|
|
return &v3.FilterAttributeValueResponse{
|
|
BoolAttributeValues: []bool{true, false},
|
|
}, nil
|
|
}
|
|
|
|
query := "select distinct"
|
|
switch req.FilterAttributeKeyDataType {
|
|
case v3.AttributeKeyDataTypeInt64:
|
|
filterValueColumn = "number_value"
|
|
case v3.AttributeKeyDataTypeFloat64:
|
|
filterValueColumn = "number_value"
|
|
case v3.AttributeKeyDataTypeString:
|
|
filterValueColumn = "string_value"
|
|
}
|
|
|
|
searchText := fmt.Sprintf("%%%s%%", req.SearchText)
|
|
|
|
// check if the tagKey is a topLevelColumn
|
|
if _, ok := constants.StaticFieldsLogsV3[req.FilterAttributeKey]; ok {
|
|
// query the column for the last 48 hours
|
|
filterValueColumnWhere := req.FilterAttributeKey
|
|
selectKey := req.FilterAttributeKey
|
|
if req.FilterAttributeKeyDataType != v3.AttributeKeyDataTypeString {
|
|
filterValueColumnWhere = fmt.Sprintf("toString(%s)", req.FilterAttributeKey)
|
|
selectKey = fmt.Sprintf("toInt64(%s)", req.FilterAttributeKey)
|
|
}
|
|
|
|
// prepare the query and run
|
|
if len(req.SearchText) != 0 {
|
|
query = fmt.Sprintf("select distinct %s from %s.%s where timestamp >= toInt64(toUnixTimestamp(now() - INTERVAL 48 HOUR)*1000000000) and %s ILIKE $1 limit $2", selectKey, r.logsDB, r.logsLocalTableName, filterValueColumnWhere)
|
|
rows, err = r.db.Query(ctx, query, searchText, req.Limit)
|
|
} else {
|
|
query = fmt.Sprintf("select distinct %s from %s.%s where timestamp >= toInt64(toUnixTimestamp(now() - INTERVAL 48 HOUR)*1000000000) limit $1", selectKey, r.logsDB, r.logsLocalTableName)
|
|
rows, err = r.db.Query(ctx, query, req.Limit)
|
|
}
|
|
} else if len(req.SearchText) != 0 {
|
|
filterValueColumnWhere := filterValueColumn
|
|
if req.FilterAttributeKeyDataType != v3.AttributeKeyDataTypeString {
|
|
filterValueColumnWhere = fmt.Sprintf("toString(%s)", filterValueColumn)
|
|
}
|
|
query = fmt.Sprintf("SELECT DISTINCT %s FROM %s.%s WHERE tag_key=$1 AND %s ILIKE $2 AND tag_type=$3 LIMIT $4", filterValueColumn, r.logsDB, r.logsTagAttributeTableV2, filterValueColumnWhere)
|
|
rows, err = r.db.Query(ctx, query, req.FilterAttributeKey, searchText, req.TagType, req.Limit)
|
|
} else {
|
|
query = fmt.Sprintf("SELECT DISTINCT %s FROM %s.%s WHERE tag_key=$1 AND tag_type=$2 LIMIT $3", filterValueColumn, r.logsDB, r.logsTagAttributeTableV2)
|
|
rows, err = r.db.Query(ctx, query, req.FilterAttributeKey, req.TagType, req.Limit)
|
|
}
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
var strAttributeValue string
|
|
var float64AttributeValue sql.NullFloat64
|
|
var int64AttributeValue sql.NullInt64
|
|
for rows.Next() {
|
|
switch req.FilterAttributeKeyDataType {
|
|
case v3.AttributeKeyDataTypeInt64:
|
|
if err := rows.Scan(&int64AttributeValue); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
if int64AttributeValue.Valid {
|
|
attributeValues.NumberAttributeValues = append(attributeValues.NumberAttributeValues, int64AttributeValue.Int64)
|
|
}
|
|
case v3.AttributeKeyDataTypeFloat64:
|
|
if err := rows.Scan(&float64AttributeValue); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
if float64AttributeValue.Valid {
|
|
attributeValues.NumberAttributeValues = append(attributeValues.NumberAttributeValues, float64AttributeValue.Float64)
|
|
}
|
|
case v3.AttributeKeyDataTypeString:
|
|
if err := rows.Scan(&strAttributeValue); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
attributeValues.StringAttributeValues = append(attributeValues.StringAttributeValues, strAttributeValue)
|
|
}
|
|
}
|
|
|
|
return &attributeValues, nil
|
|
|
|
}
|
|
|
|
func readRow(vars []interface{}, columnNames []string, countOfNumberCols int) ([]string, map[string]string, []map[string]string, *v3.Point) {
|
|
// Each row will have a value and a timestamp, and an optional list of label values
|
|
// example: {Timestamp: ..., Value: ...}
|
|
// The timestamp may also not present in some cases where the time series is reduced to single value
|
|
var point v3.Point
|
|
|
|
// groupBy is a container to hold label values for the current point
|
|
// example: ["frontend", "/fetch"]
|
|
var groupBy []string
|
|
|
|
var groupAttributesArray []map[string]string
|
|
// groupAttributes is a container to hold the key-value pairs for the current
|
|
// metric point.
|
|
// example: {"serviceName": "frontend", "operation": "/fetch"}
|
|
groupAttributes := make(map[string]string)
|
|
|
|
isValidPoint := false
|
|
|
|
for idx, v := range vars {
|
|
colName := columnNames[idx]
|
|
switch v := v.(type) {
|
|
case *string:
|
|
// special case for returning all labels in metrics datasource
|
|
if colName == "fullLabels" {
|
|
var metric map[string]string
|
|
err := json.Unmarshal([]byte(*v), &metric)
|
|
if err != nil {
|
|
zap.L().Error("unexpected error encountered", zap.Error(err))
|
|
}
|
|
for key, val := range metric {
|
|
groupBy = append(groupBy, val)
|
|
if _, ok := groupAttributes[key]; !ok {
|
|
groupAttributesArray = append(groupAttributesArray, map[string]string{key: val})
|
|
}
|
|
groupAttributes[key] = val
|
|
}
|
|
} else {
|
|
groupBy = append(groupBy, *v)
|
|
if _, ok := groupAttributes[colName]; !ok {
|
|
groupAttributesArray = append(groupAttributesArray, map[string]string{colName: *v})
|
|
}
|
|
groupAttributes[colName] = *v
|
|
}
|
|
case *time.Time:
|
|
point.Timestamp = v.UnixMilli()
|
|
case *float64, *float32:
|
|
if _, ok := constants.ReservedColumnTargetAliases[colName]; ok || countOfNumberCols == 1 {
|
|
isValidPoint = true
|
|
point.Value = float64(reflect.ValueOf(v).Elem().Float())
|
|
} else {
|
|
groupBy = append(groupBy, fmt.Sprintf("%v", reflect.ValueOf(v).Elem().Float()))
|
|
if _, ok := groupAttributes[colName]; !ok {
|
|
groupAttributesArray = append(groupAttributesArray, map[string]string{colName: fmt.Sprintf("%v", reflect.ValueOf(v).Elem().Float())})
|
|
}
|
|
groupAttributes[colName] = fmt.Sprintf("%v", reflect.ValueOf(v).Elem().Float())
|
|
}
|
|
case **float64, **float32:
|
|
val := reflect.ValueOf(v)
|
|
if val.IsValid() && !val.IsNil() && !val.Elem().IsNil() {
|
|
value := reflect.ValueOf(v).Elem().Elem().Float()
|
|
if _, ok := constants.ReservedColumnTargetAliases[colName]; ok || countOfNumberCols == 1 {
|
|
isValidPoint = true
|
|
point.Value = value
|
|
} else {
|
|
groupBy = append(groupBy, fmt.Sprintf("%v", value))
|
|
if _, ok := groupAttributes[colName]; !ok {
|
|
groupAttributesArray = append(groupAttributesArray, map[string]string{colName: fmt.Sprintf("%v", value)})
|
|
}
|
|
groupAttributes[colName] = fmt.Sprintf("%v", value)
|
|
}
|
|
}
|
|
case *uint, *uint8, *uint64, *uint16, *uint32:
|
|
if _, ok := constants.ReservedColumnTargetAliases[colName]; ok || countOfNumberCols == 1 {
|
|
isValidPoint = true
|
|
point.Value = float64(reflect.ValueOf(v).Elem().Uint())
|
|
} else {
|
|
groupBy = append(groupBy, fmt.Sprintf("%v", reflect.ValueOf(v).Elem().Uint()))
|
|
if _, ok := groupAttributes[colName]; !ok {
|
|
groupAttributesArray = append(groupAttributesArray, map[string]string{colName: fmt.Sprintf("%v", reflect.ValueOf(v).Elem().Uint())})
|
|
}
|
|
groupAttributes[colName] = fmt.Sprintf("%v", reflect.ValueOf(v).Elem().Uint())
|
|
}
|
|
case **uint, **uint8, **uint64, **uint16, **uint32:
|
|
val := reflect.ValueOf(v)
|
|
if val.IsValid() && !val.IsNil() && !val.Elem().IsNil() {
|
|
value := reflect.ValueOf(v).Elem().Elem().Uint()
|
|
if _, ok := constants.ReservedColumnTargetAliases[colName]; ok || countOfNumberCols == 1 {
|
|
isValidPoint = true
|
|
point.Value = float64(value)
|
|
} else {
|
|
groupBy = append(groupBy, fmt.Sprintf("%v", value))
|
|
if _, ok := groupAttributes[colName]; !ok {
|
|
groupAttributesArray = append(groupAttributesArray, map[string]string{colName: fmt.Sprintf("%v", value)})
|
|
}
|
|
groupAttributes[colName] = fmt.Sprintf("%v", value)
|
|
}
|
|
}
|
|
case *int, *int8, *int16, *int32, *int64:
|
|
if _, ok := constants.ReservedColumnTargetAliases[colName]; ok || countOfNumberCols == 1 {
|
|
isValidPoint = true
|
|
point.Value = float64(reflect.ValueOf(v).Elem().Int())
|
|
} else {
|
|
groupBy = append(groupBy, fmt.Sprintf("%v", reflect.ValueOf(v).Elem().Int()))
|
|
if _, ok := groupAttributes[colName]; !ok {
|
|
groupAttributesArray = append(groupAttributesArray, map[string]string{colName: fmt.Sprintf("%v", reflect.ValueOf(v).Elem().Int())})
|
|
}
|
|
groupAttributes[colName] = fmt.Sprintf("%v", reflect.ValueOf(v).Elem().Int())
|
|
}
|
|
case **int, **int8, **int16, **int32, **int64:
|
|
val := reflect.ValueOf(v)
|
|
if val.IsValid() && !val.IsNil() && !val.Elem().IsNil() {
|
|
value := reflect.ValueOf(v).Elem().Elem().Int()
|
|
if _, ok := constants.ReservedColumnTargetAliases[colName]; ok || countOfNumberCols == 1 {
|
|
isValidPoint = true
|
|
point.Value = float64(value)
|
|
} else {
|
|
groupBy = append(groupBy, fmt.Sprintf("%v", value))
|
|
if _, ok := groupAttributes[colName]; !ok {
|
|
groupAttributesArray = append(groupAttributesArray, map[string]string{colName: fmt.Sprintf("%v", value)})
|
|
}
|
|
groupAttributes[colName] = fmt.Sprintf("%v", value)
|
|
}
|
|
}
|
|
case *bool:
|
|
groupBy = append(groupBy, fmt.Sprintf("%v", *v))
|
|
if _, ok := groupAttributes[colName]; !ok {
|
|
groupAttributesArray = append(groupAttributesArray, map[string]string{colName: fmt.Sprintf("%v", *v)})
|
|
}
|
|
groupAttributes[colName] = fmt.Sprintf("%v", *v)
|
|
|
|
default:
|
|
zap.L().Error("unsupported var type found in query builder query result", zap.Any("v", v), zap.String("colName", colName))
|
|
}
|
|
}
|
|
if isValidPoint {
|
|
return groupBy, groupAttributes, groupAttributesArray, &point
|
|
}
|
|
return groupBy, groupAttributes, groupAttributesArray, nil
|
|
}
|
|
|
|
func readRowsForTimeSeriesResult(rows driver.Rows, vars []interface{}, columnNames []string, countOfNumberCols int) ([]*v3.Series, error) {
|
|
// when groupBy is applied, each combination of cartesian product
|
|
// of attribute values is a separate series. Each item in seriesToPoints
|
|
// represent a unique series where the key is sorted attribute values joined
|
|
// by "," and the value is the list of points for that series
|
|
|
|
// For instance, group by (serviceName, operation)
|
|
// with two services and three operations in each will result in (maximum of) 6 series
|
|
// ("frontend", "order") x ("/fetch", "/fetch/{Id}", "/order")
|
|
//
|
|
// ("frontend", "/fetch")
|
|
// ("frontend", "/fetch/{Id}")
|
|
// ("frontend", "/order")
|
|
// ("order", "/fetch")
|
|
// ("order", "/fetch/{Id}")
|
|
// ("order", "/order")
|
|
seriesToPoints := make(map[string][]v3.Point)
|
|
var keys []string
|
|
// seriesToAttrs is a mapping of key to a map of attribute key to attribute value
|
|
// for each series. This is used to populate the series' attributes
|
|
// For instance, for the above example, the seriesToAttrs will be
|
|
// {
|
|
// "frontend,/fetch": {"serviceName": "frontend", "operation": "/fetch"},
|
|
// "frontend,/fetch/{Id}": {"serviceName": "frontend", "operation": "/fetch/{Id}"},
|
|
// "frontend,/order": {"serviceName": "frontend", "operation": "/order"},
|
|
// "order,/fetch": {"serviceName": "order", "operation": "/fetch"},
|
|
// "order,/fetch/{Id}": {"serviceName": "order", "operation": "/fetch/{Id}"},
|
|
// "order,/order": {"serviceName": "order", "operation": "/order"},
|
|
// }
|
|
seriesToAttrs := make(map[string]map[string]string)
|
|
labelsArray := make(map[string][]map[string]string)
|
|
for rows.Next() {
|
|
if err := rows.Scan(vars...); err != nil {
|
|
return nil, err
|
|
}
|
|
groupBy, groupAttributes, groupAttributesArray, metricPoint := readRow(vars, columnNames, countOfNumberCols)
|
|
// skip the point if the value is NaN or Inf
|
|
// are they ever useful enough to be returned?
|
|
if metricPoint != nil && (math.IsNaN(metricPoint.Value) || math.IsInf(metricPoint.Value, 0)) {
|
|
continue
|
|
}
|
|
sort.Strings(groupBy)
|
|
key := strings.Join(groupBy, "")
|
|
if _, exists := seriesToAttrs[key]; !exists {
|
|
keys = append(keys, key)
|
|
}
|
|
seriesToAttrs[key] = groupAttributes
|
|
labelsArray[key] = groupAttributesArray
|
|
if metricPoint != nil {
|
|
seriesToPoints[key] = append(seriesToPoints[key], *metricPoint)
|
|
}
|
|
}
|
|
|
|
var seriesList []*v3.Series
|
|
for _, key := range keys {
|
|
points := seriesToPoints[key]
|
|
series := v3.Series{Labels: seriesToAttrs[key], Points: points, LabelsArray: labelsArray[key]}
|
|
seriesList = append(seriesList, &series)
|
|
}
|
|
return seriesList, getPersonalisedError(rows.Err())
|
|
}
|
|
|
|
func logCommentKVs(ctx context.Context) map[string]string {
|
|
kv := ctx.Value(common.LogCommentKey)
|
|
if kv == nil {
|
|
return nil
|
|
}
|
|
logCommentKVs, ok := kv.(map[string]string)
|
|
if !ok {
|
|
return nil
|
|
}
|
|
return logCommentKVs
|
|
}
|
|
|
|
// GetTimeSeriesResultV3 runs the query and returns list of time series
|
|
func (r *ClickHouseReader) GetTimeSeriesResultV3(ctx context.Context, query string) ([]*v3.Series, error) {
|
|
|
|
ctxArgs := map[string]interface{}{"query": query}
|
|
for k, v := range logCommentKVs(ctx) {
|
|
ctxArgs[k] = v
|
|
}
|
|
|
|
defer utils.Elapsed("GetTimeSeriesResultV3", ctxArgs)()
|
|
|
|
// Hook up query progress reporting if requested.
|
|
queryId := ctx.Value("queryId")
|
|
if queryId != nil {
|
|
qid, ok := queryId.(string)
|
|
if !ok {
|
|
zap.L().Error("GetTimeSeriesResultV3: queryId in ctx not a string as expected", zap.Any("queryId", queryId))
|
|
|
|
} else {
|
|
ctx = clickhouse.Context(ctx, clickhouse.WithProgress(
|
|
func(p *clickhouse.Progress) {
|
|
go func() {
|
|
err := r.queryProgressTracker.ReportQueryProgress(qid, p)
|
|
if err != nil {
|
|
zap.L().Error(
|
|
"Couldn't report query progress",
|
|
zap.String("queryId", qid), zap.Error(err),
|
|
)
|
|
}
|
|
}()
|
|
},
|
|
))
|
|
}
|
|
}
|
|
|
|
rows, err := r.db.Query(ctx, query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("error while reading time series result", zap.Error(err))
|
|
return nil, errors.New(err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
var (
|
|
columnTypes = rows.ColumnTypes()
|
|
columnNames = rows.Columns()
|
|
vars = make([]interface{}, len(columnTypes))
|
|
)
|
|
var countOfNumberCols int
|
|
|
|
for i := range columnTypes {
|
|
vars[i] = reflect.New(columnTypes[i].ScanType()).Interface()
|
|
switch columnTypes[i].ScanType().Kind() {
|
|
case reflect.Float32,
|
|
reflect.Float64,
|
|
reflect.Uint,
|
|
reflect.Uint8,
|
|
reflect.Uint16,
|
|
reflect.Uint32,
|
|
reflect.Uint64,
|
|
reflect.Int,
|
|
reflect.Int8,
|
|
reflect.Int16,
|
|
reflect.Int32,
|
|
reflect.Int64:
|
|
countOfNumberCols++
|
|
}
|
|
}
|
|
|
|
return readRowsForTimeSeriesResult(rows, vars, columnNames, countOfNumberCols)
|
|
}
|
|
|
|
// GetListResultV3 runs the query and returns list of rows
|
|
func (r *ClickHouseReader) GetListResultV3(ctx context.Context, query string) ([]*v3.Row, error) {
|
|
|
|
ctxArgs := map[string]interface{}{"query": query}
|
|
for k, v := range logCommentKVs(ctx) {
|
|
ctxArgs[k] = v
|
|
}
|
|
|
|
defer utils.Elapsed("GetListResultV3", ctxArgs)()
|
|
|
|
rows, err := r.db.Query(ctx, query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("error while reading time series result", zap.Error(err))
|
|
return nil, errors.New(err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
var (
|
|
columnTypes = rows.ColumnTypes()
|
|
columnNames = rows.Columns()
|
|
)
|
|
|
|
var rowList []*v3.Row
|
|
|
|
for rows.Next() {
|
|
var vars = make([]interface{}, len(columnTypes))
|
|
for i := range columnTypes {
|
|
vars[i] = reflect.New(columnTypes[i].ScanType()).Interface()
|
|
}
|
|
if err := rows.Scan(vars...); err != nil {
|
|
return nil, err
|
|
}
|
|
row := map[string]interface{}{}
|
|
var t time.Time
|
|
for idx, v := range vars {
|
|
if columnNames[idx] == "timestamp" {
|
|
t = time.Unix(0, int64(*v.(*uint64)))
|
|
} else if columnNames[idx] == "timestamp_datetime" {
|
|
t = *v.(*time.Time)
|
|
} else {
|
|
row[columnNames[idx]] = v
|
|
}
|
|
}
|
|
|
|
// remove duplicate _ attributes for logs.
|
|
// remove this function after a month
|
|
removeDuplicateUnderscoreAttributes(row)
|
|
|
|
rowList = append(rowList, &v3.Row{Timestamp: t, Data: row})
|
|
}
|
|
|
|
return rowList, getPersonalisedError(rows.Err())
|
|
|
|
}
|
|
|
|
func getPersonalisedError(err error) error {
|
|
if err == nil {
|
|
return nil
|
|
}
|
|
zap.L().Error("error while reading result", zap.Error(err))
|
|
if strings.Contains(err.Error(), "code: 307") {
|
|
return chErrors.ErrResourceBytesLimitExceeded
|
|
}
|
|
|
|
if strings.Contains(err.Error(), "code: 159") {
|
|
return chErrors.ErrResourceTimeLimitExceeded
|
|
}
|
|
return err
|
|
}
|
|
|
|
func removeDuplicateUnderscoreAttributes(row map[string]interface{}) {
|
|
if val, ok := row["attributes_int64"]; ok {
|
|
attributes := val.(*map[string]int64)
|
|
for key := range *attributes {
|
|
if strings.Contains(key, ".") {
|
|
uKey := strings.ReplaceAll(key, ".", "_")
|
|
delete(*attributes, uKey)
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
if val, ok := row["attributes_float64"]; ok {
|
|
attributes := val.(*map[string]float64)
|
|
for key := range *attributes {
|
|
if strings.Contains(key, ".") {
|
|
uKey := strings.ReplaceAll(key, ".", "_")
|
|
delete(*attributes, uKey)
|
|
}
|
|
}
|
|
|
|
}
|
|
|
|
if val, ok := row["attributes_bool"]; ok {
|
|
attributes := val.(*map[string]bool)
|
|
for key := range *attributes {
|
|
if strings.Contains(key, ".") {
|
|
uKey := strings.ReplaceAll(key, ".", "_")
|
|
delete(*attributes, uKey)
|
|
}
|
|
}
|
|
|
|
}
|
|
for _, k := range []string{"attributes_string", "resources_string"} {
|
|
if val, ok := row[k]; ok {
|
|
attributes := val.(*map[string]string)
|
|
for key := range *attributes {
|
|
if strings.Contains(key, ".") {
|
|
uKey := strings.ReplaceAll(key, ".", "_")
|
|
delete(*attributes, uKey)
|
|
}
|
|
}
|
|
|
|
}
|
|
}
|
|
}
|
|
func (r *ClickHouseReader) CheckClickHouse(ctx context.Context) error {
|
|
rows, err := r.db.Query(ctx, "SELECT 1")
|
|
if err != nil {
|
|
return err
|
|
}
|
|
defer rows.Close()
|
|
|
|
return nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTraceAggregateAttributes(ctx context.Context, req *v3.AggregateAttributeRequest) (*v3.AggregateAttributeResponse, error) {
|
|
var query string
|
|
var err error
|
|
var rows driver.Rows
|
|
var response v3.AggregateAttributeResponse
|
|
var stringAllowed bool
|
|
|
|
where := ""
|
|
switch req.Operator {
|
|
case
|
|
v3.AggregateOperatorCountDistinct,
|
|
v3.AggregateOperatorCount:
|
|
where = "tag_key ILIKE $1"
|
|
stringAllowed = true
|
|
case
|
|
v3.AggregateOperatorRateSum,
|
|
v3.AggregateOperatorRateMax,
|
|
v3.AggregateOperatorRateAvg,
|
|
v3.AggregateOperatorRate,
|
|
v3.AggregateOperatorRateMin,
|
|
v3.AggregateOperatorP05,
|
|
v3.AggregateOperatorP10,
|
|
v3.AggregateOperatorP20,
|
|
v3.AggregateOperatorP25,
|
|
v3.AggregateOperatorP50,
|
|
v3.AggregateOperatorP75,
|
|
v3.AggregateOperatorP90,
|
|
v3.AggregateOperatorP95,
|
|
v3.AggregateOperatorP99,
|
|
v3.AggregateOperatorAvg,
|
|
v3.AggregateOperatorSum,
|
|
v3.AggregateOperatorMin,
|
|
v3.AggregateOperatorMax:
|
|
where = "tag_key ILIKE $1 AND tag_data_type='float64'"
|
|
stringAllowed = false
|
|
case
|
|
v3.AggregateOperatorNoOp:
|
|
return &v3.AggregateAttributeResponse{}, nil
|
|
default:
|
|
return nil, fmt.Errorf("unsupported aggregate operator")
|
|
}
|
|
query = fmt.Sprintf("SELECT DISTINCT(tag_key), tag_type, tag_data_type FROM %s.%s WHERE %s", r.TraceDB, r.spanAttributeTableV2, where)
|
|
if req.Limit != 0 {
|
|
query = query + fmt.Sprintf(" LIMIT %d;", req.Limit)
|
|
}
|
|
rows, err = r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText))
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
statements := []model.ShowCreateTableStatement{}
|
|
query = fmt.Sprintf("SHOW CREATE TABLE %s.%s", r.TraceDB, r.traceLocalTableName)
|
|
err = r.db.Select(ctx, &statements, query)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error while fetching trace schema: %s", err.Error())
|
|
}
|
|
|
|
var tagKey string
|
|
var dataType string
|
|
var tagType string
|
|
for rows.Next() {
|
|
if err := rows.Scan(&tagKey, &tagType, &dataType); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
key := v3.AttributeKey{
|
|
Key: tagKey,
|
|
DataType: v3.AttributeKeyDataType(dataType),
|
|
Type: v3.AttributeKeyType(tagType),
|
|
IsColumn: isColumn(true, statements[0].Statement, tagType, tagKey, dataType),
|
|
}
|
|
|
|
if _, ok := constants.DeprecatedStaticFieldsTraces[tagKey]; !ok {
|
|
response.AttributeKeys = append(response.AttributeKeys, key)
|
|
}
|
|
}
|
|
|
|
fields := constants.NewStaticFieldsTraces
|
|
if !r.useTraceNewSchema {
|
|
fields = constants.DeprecatedStaticFieldsTraces
|
|
}
|
|
|
|
// add the new static fields
|
|
for _, field := range fields {
|
|
if (!stringAllowed && field.DataType == v3.AttributeKeyDataTypeString) || (v3.AttributeKey{} == field) {
|
|
continue
|
|
} else if len(req.SearchText) == 0 || strings.Contains(field.Key, req.SearchText) {
|
|
response.AttributeKeys = append(response.AttributeKeys, field)
|
|
}
|
|
}
|
|
|
|
return &response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTraceAttributeKeys(ctx context.Context, req *v3.FilterAttributeKeyRequest) (*v3.FilterAttributeKeyResponse, error) {
|
|
|
|
var query string
|
|
var err error
|
|
var rows driver.Rows
|
|
var response v3.FilterAttributeKeyResponse
|
|
|
|
query = fmt.Sprintf("SELECT DISTINCT(tag_key), tag_type, tag_data_type FROM %s.%s WHERE tag_key ILIKE $1 LIMIT $2", r.TraceDB, r.spanAttributeTableV2)
|
|
|
|
rows, err = r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText), req.Limit)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
statements := []model.ShowCreateTableStatement{}
|
|
query = fmt.Sprintf("SHOW CREATE TABLE %s.%s", r.TraceDB, r.traceLocalTableName)
|
|
err = r.db.Select(ctx, &statements, query)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error while fetching trace schema: %s", err.Error())
|
|
}
|
|
|
|
var tagKey string
|
|
var dataType string
|
|
var tagType string
|
|
for rows.Next() {
|
|
if err := rows.Scan(&tagKey, &tagType, &dataType); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
key := v3.AttributeKey{
|
|
Key: tagKey,
|
|
DataType: v3.AttributeKeyDataType(dataType),
|
|
Type: v3.AttributeKeyType(tagType),
|
|
IsColumn: isColumn(true, statements[0].Statement, tagType, tagKey, dataType),
|
|
}
|
|
|
|
// don't send deprecated static fields
|
|
// this is added so that once the old tenants are moved to new schema,
|
|
// they old attributes are not sent to the frontend autocomplete
|
|
if _, ok := constants.DeprecatedStaticFieldsTraces[tagKey]; !ok {
|
|
response.AttributeKeys = append(response.AttributeKeys, key)
|
|
}
|
|
}
|
|
|
|
// remove this later just to have NewStaticFieldsTraces in the response
|
|
fields := constants.NewStaticFieldsTraces
|
|
if !r.useTraceNewSchema {
|
|
fields = constants.DeprecatedStaticFieldsTraces
|
|
}
|
|
|
|
// add the new static fields
|
|
for _, f := range fields {
|
|
if (v3.AttributeKey{} == f) {
|
|
continue
|
|
}
|
|
if len(req.SearchText) == 0 || strings.Contains(f.Key, req.SearchText) {
|
|
response.AttributeKeys = append(response.AttributeKeys, f)
|
|
}
|
|
}
|
|
|
|
return &response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTraceAttributeValues(ctx context.Context, req *v3.FilterAttributeValueRequest) (*v3.FilterAttributeValueResponse, error) {
|
|
var query string
|
|
var filterValueColumn string
|
|
var err error
|
|
var rows driver.Rows
|
|
var attributeValues v3.FilterAttributeValueResponse
|
|
|
|
// if dataType or tagType is not present return empty response
|
|
if len(req.FilterAttributeKeyDataType) == 0 || len(req.TagType) == 0 {
|
|
// add data type if it's a top level key
|
|
if k, ok := constants.StaticFieldsTraces[req.FilterAttributeKey]; ok {
|
|
req.FilterAttributeKeyDataType = k.DataType
|
|
} else {
|
|
return &v3.FilterAttributeValueResponse{}, nil
|
|
}
|
|
}
|
|
|
|
// if data type is bool, return true and false
|
|
if req.FilterAttributeKeyDataType == v3.AttributeKeyDataTypeBool {
|
|
return &v3.FilterAttributeValueResponse{
|
|
BoolAttributeValues: []bool{true, false},
|
|
}, nil
|
|
}
|
|
|
|
query = "SELECT DISTINCT"
|
|
switch req.FilterAttributeKeyDataType {
|
|
case v3.AttributeKeyDataTypeFloat64:
|
|
filterValueColumn = "number_value"
|
|
case v3.AttributeKeyDataTypeString:
|
|
filterValueColumn = "string_value"
|
|
}
|
|
|
|
searchText := fmt.Sprintf("%%%s%%", req.SearchText)
|
|
|
|
// check if the tagKey is a topLevelColumn
|
|
// here we are using StaticFieldsTraces instead of NewStaticFieldsTraces as we want to consider old columns as well.
|
|
if _, ok := constants.StaticFieldsTraces[req.FilterAttributeKey]; ok {
|
|
// query the column for the last 48 hours
|
|
filterValueColumnWhere := req.FilterAttributeKey
|
|
selectKey := req.FilterAttributeKey
|
|
if req.FilterAttributeKeyDataType != v3.AttributeKeyDataTypeString {
|
|
filterValueColumnWhere = fmt.Sprintf("toString(%s)", req.FilterAttributeKey)
|
|
selectKey = fmt.Sprintf("toInt64(%s)", req.FilterAttributeKey)
|
|
}
|
|
|
|
// TODO(nitya): remove 24 hour limit in future after checking the perf/resource implications
|
|
where := "timestamp >= toDateTime64(now() - INTERVAL 48 HOUR, 9)"
|
|
if r.useTraceNewSchema {
|
|
where += " AND ts_bucket_start >= toUInt64(toUnixTimestamp(now() - INTERVAL 48 HOUR))"
|
|
}
|
|
query = fmt.Sprintf("SELECT DISTINCT %s FROM %s.%s WHERE %s AND %s ILIKE $1 LIMIT $2", selectKey, r.TraceDB, r.traceTableName, where, filterValueColumnWhere)
|
|
rows, err = r.db.Query(ctx, query, searchText, req.Limit)
|
|
} else {
|
|
filterValueColumnWhere := filterValueColumn
|
|
if req.FilterAttributeKeyDataType != v3.AttributeKeyDataTypeString {
|
|
filterValueColumnWhere = fmt.Sprintf("toString(%s)", filterValueColumn)
|
|
}
|
|
query = fmt.Sprintf("SELECT DISTINCT %s FROM %s.%s WHERE tag_key=$1 AND %s ILIKE $2 AND tag_type=$3 LIMIT $4", filterValueColumn, r.TraceDB, r.spanAttributeTableV2, filterValueColumnWhere)
|
|
rows, err = r.db.Query(ctx, query, req.FilterAttributeKey, searchText, req.TagType, req.Limit)
|
|
}
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
var strAttributeValue string
|
|
var float64AttributeValue sql.NullFloat64
|
|
for rows.Next() {
|
|
switch req.FilterAttributeKeyDataType {
|
|
case v3.AttributeKeyDataTypeFloat64:
|
|
if err := rows.Scan(&float64AttributeValue); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
if float64AttributeValue.Valid {
|
|
attributeValues.NumberAttributeValues = append(attributeValues.NumberAttributeValues, float64AttributeValue.Float64)
|
|
}
|
|
case v3.AttributeKeyDataTypeString:
|
|
if err := rows.Scan(&strAttributeValue); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
attributeValues.StringAttributeValues = append(attributeValues.StringAttributeValues, strAttributeValue)
|
|
}
|
|
}
|
|
|
|
return &attributeValues, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetSpanAttributeKeysV2(ctx context.Context) (map[string]v3.AttributeKey, error) {
|
|
var query string
|
|
var err error
|
|
var rows driver.Rows
|
|
response := map[string]v3.AttributeKey{}
|
|
|
|
query = fmt.Sprintf("SELECT DISTINCT(tagKey), tagType, dataType FROM %s.%s", r.TraceDB, r.spanAttributesKeysTable)
|
|
|
|
rows, err = r.db.Query(ctx, query)
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
statements := []model.ShowCreateTableStatement{}
|
|
query = fmt.Sprintf("SHOW CREATE TABLE %s.%s", r.TraceDB, r.traceTableName)
|
|
err = r.db.Select(ctx, &statements, query)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error while fetching trace schema: %s", err.Error())
|
|
}
|
|
|
|
var tagKey string
|
|
var dataType string
|
|
var tagType string
|
|
for rows.Next() {
|
|
if err := rows.Scan(&tagKey, &tagType, &dataType); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
key := v3.AttributeKey{
|
|
Key: tagKey,
|
|
DataType: v3.AttributeKeyDataType(dataType),
|
|
Type: v3.AttributeKeyType(tagType),
|
|
IsColumn: isColumn(true, statements[0].Statement, tagType, tagKey, dataType),
|
|
}
|
|
|
|
name := tagKey + "##" + tagType + "##" + strings.ToLower(dataType)
|
|
response[name] = key
|
|
}
|
|
|
|
for _, key := range constants.StaticFieldsTraces {
|
|
name := key.Key + "##" + key.Type.String() + "##" + strings.ToLower(key.DataType.String())
|
|
response[name] = key
|
|
}
|
|
|
|
return response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetSpanAttributeKeys(ctx context.Context) (map[string]v3.AttributeKey, error) {
|
|
if r.useTraceNewSchema {
|
|
return r.GetSpanAttributeKeysV2(ctx)
|
|
}
|
|
var query string
|
|
var err error
|
|
var rows driver.Rows
|
|
response := map[string]v3.AttributeKey{}
|
|
|
|
query = fmt.Sprintf("SELECT DISTINCT(tagKey), tagType, dataType, isColumn FROM %s.%s", r.TraceDB, r.spanAttributesKeysTable)
|
|
|
|
rows, err = r.db.Query(ctx, query)
|
|
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return nil, fmt.Errorf("error while executing query: %s", err.Error())
|
|
}
|
|
defer rows.Close()
|
|
|
|
var tagKey string
|
|
var dataType string
|
|
var tagType string
|
|
var isColumn bool
|
|
for rows.Next() {
|
|
if err := rows.Scan(&tagKey, &tagType, &dataType, &isColumn); err != nil {
|
|
return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
|
|
}
|
|
key := v3.AttributeKey{
|
|
Key: tagKey,
|
|
DataType: v3.AttributeKeyDataType(dataType),
|
|
Type: v3.AttributeKeyType(tagType),
|
|
IsColumn: isColumn,
|
|
}
|
|
response[tagKey] = key
|
|
}
|
|
|
|
// add the deprecated static fields as they are not present in spanAttributeKeysTable
|
|
for _, f := range constants.DeprecatedStaticFieldsTraces {
|
|
response[f.Key] = f
|
|
}
|
|
|
|
return response, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) LiveTailLogsV4(ctx context.Context, query string, timestampStart uint64, idStart string, client *model.LogsLiveTailClientV2) {
|
|
if timestampStart == 0 {
|
|
timestampStart = uint64(time.Now().UnixNano())
|
|
} else {
|
|
timestampStart = uint64(utils.GetEpochNanoSecs(int64(timestampStart)))
|
|
}
|
|
|
|
ticker := time.NewTicker(time.Duration(r.liveTailRefreshSeconds) * time.Second)
|
|
defer ticker.Stop()
|
|
for {
|
|
select {
|
|
case <-ctx.Done():
|
|
done := true
|
|
client.Done <- &done
|
|
zap.L().Debug("closing go routine : " + client.Name)
|
|
return
|
|
case <-ticker.C:
|
|
// get the new 100 logs as anything more older won't make sense
|
|
var tmpQuery string
|
|
bucketStart := (timestampStart / NANOSECOND) - 1800
|
|
|
|
// we have to form the query differently if the resource filters are used
|
|
if strings.Contains(query, r.logsResourceTableV2) {
|
|
tmpQuery = fmt.Sprintf("seen_at_ts_bucket_start >=%d)) AND ts_bucket_start >=%d AND timestamp >=%d", bucketStart, bucketStart, timestampStart)
|
|
} else {
|
|
tmpQuery = fmt.Sprintf("ts_bucket_start >=%d AND timestamp >=%d", bucketStart, timestampStart)
|
|
}
|
|
if idStart != "" {
|
|
tmpQuery = fmt.Sprintf("%s AND id > '%s'", tmpQuery, idStart)
|
|
}
|
|
|
|
// the reason we are doing desc is that we need the latest logs first
|
|
tmpQuery = query + tmpQuery + " order by timestamp desc, id desc limit 100"
|
|
|
|
// using the old structure since we can directly read it to the struct as use it.
|
|
response := []model.SignozLogV2{}
|
|
err := r.db.Select(ctx, &response, tmpQuery)
|
|
if err != nil {
|
|
zap.L().Error("Error while getting logs", zap.Error(err))
|
|
client.Error <- err
|
|
return
|
|
}
|
|
for i := len(response) - 1; i >= 0; i-- {
|
|
client.Logs <- &response[i]
|
|
if i == 0 {
|
|
timestampStart = response[i].Timestamp
|
|
idStart = response[i].ID
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
func (r *ClickHouseReader) LiveTailLogsV3(ctx context.Context, query string, timestampStart uint64, idStart string, client *model.LogsLiveTailClient) {
|
|
if timestampStart == 0 {
|
|
timestampStart = uint64(time.Now().UnixNano())
|
|
} else {
|
|
timestampStart = uint64(utils.GetEpochNanoSecs(int64(timestampStart)))
|
|
}
|
|
|
|
ticker := time.NewTicker(time.Duration(r.liveTailRefreshSeconds) * time.Second)
|
|
defer ticker.Stop()
|
|
for {
|
|
select {
|
|
case <-ctx.Done():
|
|
done := true
|
|
client.Done <- &done
|
|
zap.L().Debug("closing go routine : " + client.Name)
|
|
return
|
|
case <-ticker.C:
|
|
// get the new 100 logs as anything more older won't make sense
|
|
tmpQuery := fmt.Sprintf("timestamp >='%d'", timestampStart)
|
|
if idStart != "" {
|
|
tmpQuery = fmt.Sprintf("%s AND id > '%s'", tmpQuery, idStart)
|
|
}
|
|
// the reason we are doing desc is that we need the latest logs first
|
|
tmpQuery = query + tmpQuery + " order by timestamp desc, id desc limit 100"
|
|
|
|
// using the old structure since we can directly read it to the struct as use it.
|
|
response := []model.SignozLog{}
|
|
err := r.db.Select(ctx, &response, tmpQuery)
|
|
if err != nil {
|
|
zap.L().Error("Error while getting logs", zap.Error(err))
|
|
client.Error <- err
|
|
return
|
|
}
|
|
for i := len(response) - 1; i >= 0; i-- {
|
|
client.Logs <- &response[i]
|
|
if i == 0 {
|
|
timestampStart = response[i].Timestamp
|
|
idStart = response[i].ID
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
func (r *ClickHouseReader) AddRuleStateHistory(ctx context.Context, ruleStateHistory []model.RuleStateHistory) error {
|
|
var statement driver.Batch
|
|
var err error
|
|
|
|
defer func() {
|
|
if statement != nil {
|
|
statement.Abort()
|
|
}
|
|
}()
|
|
|
|
statement, err = r.db.PrepareBatch(ctx, fmt.Sprintf("INSERT INTO %s.%s (rule_id, rule_name, overall_state, overall_state_changed, state, state_changed, unix_milli, labels, fingerprint, value) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)",
|
|
signozHistoryDBName, ruleStateHistoryTableName))
|
|
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
for _, history := range ruleStateHistory {
|
|
err = statement.Append(history.RuleID, history.RuleName, history.OverallState, history.OverallStateChanged, history.State, history.StateChanged, history.UnixMilli, history.Labels, history.Fingerprint, history.Value)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
}
|
|
|
|
err = statement.Send()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetLastSavedRuleStateHistory(ctx context.Context, ruleID string) ([]model.RuleStateHistory, error) {
|
|
query := fmt.Sprintf("SELECT * FROM %s.%s WHERE rule_id = '%s' AND state_changed = true ORDER BY unix_milli DESC LIMIT 1 BY fingerprint",
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID)
|
|
|
|
history := []model.RuleStateHistory{}
|
|
err := r.db.Select(ctx, &history, query)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return history, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) ReadRuleStateHistoryByRuleID(
|
|
ctx context.Context, ruleID string, params *model.QueryRuleStateHistory) (*model.RuleStateTimeline, error) {
|
|
|
|
var conditions []string
|
|
|
|
conditions = append(conditions, fmt.Sprintf("rule_id = '%s'", ruleID))
|
|
|
|
conditions = append(conditions, fmt.Sprintf("unix_milli >= %d AND unix_milli < %d", params.Start, params.End))
|
|
|
|
if params.State != "" {
|
|
conditions = append(conditions, fmt.Sprintf("state = '%s'", params.State))
|
|
}
|
|
|
|
if params.Filters != nil && len(params.Filters.Items) != 0 {
|
|
for _, item := range params.Filters.Items {
|
|
toFormat := item.Value
|
|
op := v3.FilterOperator(strings.ToLower(strings.TrimSpace(string(item.Operator))))
|
|
if op == v3.FilterOperatorContains || op == v3.FilterOperatorNotContains {
|
|
toFormat = fmt.Sprintf("%%%s%%", toFormat)
|
|
}
|
|
fmtVal := utils.ClickHouseFormattedValue(toFormat)
|
|
switch op {
|
|
case v3.FilterOperatorEqual:
|
|
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, '%s') = %s", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorNotEqual:
|
|
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, '%s') != %s", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorIn:
|
|
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, '%s') IN %s", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorNotIn:
|
|
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, '%s') NOT IN %s", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorLike:
|
|
conditions = append(conditions, fmt.Sprintf("like(JSONExtractString(labels, '%s'), %s)", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorNotLike:
|
|
conditions = append(conditions, fmt.Sprintf("notLike(JSONExtractString(labels, '%s'), %s)", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorRegex:
|
|
conditions = append(conditions, fmt.Sprintf("match(JSONExtractString(labels, '%s'), %s)", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorNotRegex:
|
|
conditions = append(conditions, fmt.Sprintf("not match(JSONExtractString(labels, '%s'), %s)", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorGreaterThan:
|
|
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, '%s') > %s", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorGreaterThanOrEq:
|
|
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, '%s') >= %s", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorLessThan:
|
|
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, '%s') < %s", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorLessThanOrEq:
|
|
conditions = append(conditions, fmt.Sprintf("JSONExtractString(labels, '%s') <= %s", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorContains:
|
|
conditions = append(conditions, fmt.Sprintf("like(JSONExtractString(labels, '%s'), %s)", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorNotContains:
|
|
conditions = append(conditions, fmt.Sprintf("notLike(JSONExtractString(labels, '%s'), %s)", item.Key.Key, fmtVal))
|
|
case v3.FilterOperatorExists:
|
|
conditions = append(conditions, fmt.Sprintf("has(JSONExtractKeys(labels), '%s')", item.Key.Key))
|
|
case v3.FilterOperatorNotExists:
|
|
conditions = append(conditions, fmt.Sprintf("not has(JSONExtractKeys(labels), '%s')", item.Key.Key))
|
|
default:
|
|
return nil, fmt.Errorf("unsupported filter operator")
|
|
}
|
|
}
|
|
}
|
|
whereClause := strings.Join(conditions, " AND ")
|
|
|
|
query := fmt.Sprintf("SELECT * FROM %s.%s WHERE %s ORDER BY unix_milli %s LIMIT %d OFFSET %d",
|
|
signozHistoryDBName, ruleStateHistoryTableName, whereClause, params.Order, params.Limit, params.Offset)
|
|
|
|
history := []model.RuleStateHistory{}
|
|
zap.L().Debug("rule state history query", zap.String("query", query))
|
|
err := r.db.Select(ctx, &history, query)
|
|
if err != nil {
|
|
zap.L().Error("Error while reading rule state history", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
|
|
var total uint64
|
|
zap.L().Debug("rule state history total query", zap.String("query", fmt.Sprintf("SELECT count(*) FROM %s.%s WHERE %s",
|
|
signozHistoryDBName, ruleStateHistoryTableName, whereClause)))
|
|
err = r.db.QueryRow(ctx, fmt.Sprintf("SELECT count(*) FROM %s.%s WHERE %s",
|
|
signozHistoryDBName, ruleStateHistoryTableName, whereClause)).Scan(&total)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
labelsQuery := fmt.Sprintf("SELECT DISTINCT labels FROM %s.%s WHERE rule_id = $1",
|
|
signozHistoryDBName, ruleStateHistoryTableName)
|
|
rows, err := r.db.Query(ctx, labelsQuery, ruleID)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
defer rows.Close()
|
|
|
|
labelsMap := make(map[string][]string)
|
|
for rows.Next() {
|
|
var rawLabel string
|
|
err = rows.Scan(&rawLabel)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
label := map[string]string{}
|
|
err = json.Unmarshal([]byte(rawLabel), &label)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
for k, v := range label {
|
|
labelsMap[k] = append(labelsMap[k], v)
|
|
}
|
|
}
|
|
|
|
timeline := &model.RuleStateTimeline{
|
|
Items: history,
|
|
Total: total,
|
|
Labels: labelsMap,
|
|
}
|
|
|
|
return timeline, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) ReadRuleStateHistoryTopContributorsByRuleID(
|
|
ctx context.Context, ruleID string, params *model.QueryRuleStateHistory) ([]model.RuleStateHistoryContributor, error) {
|
|
query := fmt.Sprintf(`SELECT
|
|
fingerprint,
|
|
any(labels) as labels,
|
|
count(*) as count
|
|
FROM %s.%s
|
|
WHERE rule_id = '%s' AND (state_changed = true) AND (state = '%s') AND unix_milli >= %d AND unix_milli <= %d
|
|
GROUP BY fingerprint
|
|
HAVING labels != '{}'
|
|
ORDER BY count DESC`,
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID, model.StateFiring.String(), params.Start, params.End)
|
|
|
|
zap.L().Debug("rule state history top contributors query", zap.String("query", query))
|
|
contributors := []model.RuleStateHistoryContributor{}
|
|
err := r.db.Select(ctx, &contributors, query)
|
|
if err != nil {
|
|
zap.L().Error("Error while reading rule state history", zap.Error(err))
|
|
return nil, err
|
|
}
|
|
|
|
return contributors, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetOverallStateTransitions(ctx context.Context, ruleID string, params *model.QueryRuleStateHistory) ([]model.ReleStateItem, error) {
|
|
|
|
tmpl := `WITH firing_events AS (
|
|
SELECT
|
|
rule_id,
|
|
state,
|
|
unix_milli AS firing_time
|
|
FROM %s.%s
|
|
WHERE overall_state = '` + model.StateFiring.String() + `'
|
|
AND overall_state_changed = true
|
|
AND rule_id IN ('%s')
|
|
AND unix_milli >= %d AND unix_milli <= %d
|
|
),
|
|
resolution_events AS (
|
|
SELECT
|
|
rule_id,
|
|
state,
|
|
unix_milli AS resolution_time
|
|
FROM %s.%s
|
|
WHERE overall_state = '` + model.StateInactive.String() + `'
|
|
AND overall_state_changed = true
|
|
AND rule_id IN ('%s')
|
|
AND unix_milli >= %d AND unix_milli <= %d
|
|
),
|
|
matched_events AS (
|
|
SELECT
|
|
f.rule_id,
|
|
f.state,
|
|
f.firing_time,
|
|
MIN(r.resolution_time) AS resolution_time
|
|
FROM firing_events f
|
|
LEFT JOIN resolution_events r
|
|
ON f.rule_id = r.rule_id
|
|
WHERE r.resolution_time > f.firing_time
|
|
GROUP BY f.rule_id, f.state, f.firing_time
|
|
)
|
|
SELECT *
|
|
FROM matched_events
|
|
ORDER BY firing_time ASC;`
|
|
|
|
query := fmt.Sprintf(tmpl,
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID, params.Start, params.End,
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID, params.Start, params.End)
|
|
|
|
zap.L().Debug("overall state transitions query", zap.String("query", query))
|
|
|
|
transitions := []model.RuleStateTransition{}
|
|
err := r.db.Select(ctx, &transitions, query)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
stateItems := []model.ReleStateItem{}
|
|
|
|
for idx, item := range transitions {
|
|
start := item.FiringTime
|
|
end := item.ResolutionTime
|
|
stateItems = append(stateItems, model.ReleStateItem{
|
|
State: item.State,
|
|
Start: start,
|
|
End: end,
|
|
})
|
|
if idx < len(transitions)-1 {
|
|
nextStart := transitions[idx+1].FiringTime
|
|
if nextStart > end {
|
|
stateItems = append(stateItems, model.ReleStateItem{
|
|
State: model.StateInactive,
|
|
Start: end,
|
|
End: nextStart,
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
// fetch the most recent overall_state from the table
|
|
var state model.AlertState
|
|
stateQuery := fmt.Sprintf("SELECT state FROM %s.%s WHERE rule_id = '%s' AND unix_milli <= %d ORDER BY unix_milli DESC LIMIT 1",
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID, params.End)
|
|
if err := r.db.QueryRow(ctx, stateQuery).Scan(&state); err != nil {
|
|
if err != sql.ErrNoRows {
|
|
return nil, err
|
|
}
|
|
state = model.StateInactive
|
|
}
|
|
|
|
if len(transitions) == 0 {
|
|
// no transitions found, it is either firing or inactive for whole time range
|
|
stateItems = append(stateItems, model.ReleStateItem{
|
|
State: state,
|
|
Start: params.Start,
|
|
End: params.End,
|
|
})
|
|
} else {
|
|
// there were some transitions, we need to add the last state at the end
|
|
if state == model.StateInactive {
|
|
stateItems = append(stateItems, model.ReleStateItem{
|
|
State: model.StateInactive,
|
|
Start: transitions[len(transitions)-1].ResolutionTime,
|
|
End: params.End,
|
|
})
|
|
} else {
|
|
// fetch the most recent firing event from the table in the given time range
|
|
var firingTime int64
|
|
firingQuery := fmt.Sprintf(`
|
|
SELECT
|
|
unix_milli
|
|
FROM %s.%s
|
|
WHERE rule_id = '%s' AND overall_state_changed = true AND overall_state = '%s' AND unix_milli <= %d
|
|
ORDER BY unix_milli DESC LIMIT 1`, signozHistoryDBName, ruleStateHistoryTableName, ruleID, model.StateFiring.String(), params.End)
|
|
if err := r.db.QueryRow(ctx, firingQuery).Scan(&firingTime); err != nil {
|
|
return nil, err
|
|
}
|
|
stateItems = append(stateItems, model.ReleStateItem{
|
|
State: model.StateInactive,
|
|
Start: transitions[len(transitions)-1].ResolutionTime,
|
|
End: firingTime,
|
|
})
|
|
stateItems = append(stateItems, model.ReleStateItem{
|
|
State: model.StateFiring,
|
|
Start: firingTime,
|
|
End: params.End,
|
|
})
|
|
}
|
|
}
|
|
return stateItems, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetAvgResolutionTime(ctx context.Context, ruleID string, params *model.QueryRuleStateHistory) (float64, error) {
|
|
|
|
tmpl := `
|
|
WITH firing_events AS (
|
|
SELECT
|
|
rule_id,
|
|
state,
|
|
unix_milli AS firing_time
|
|
FROM %s.%s
|
|
WHERE overall_state = '` + model.StateFiring.String() + `'
|
|
AND overall_state_changed = true
|
|
AND rule_id IN ('%s')
|
|
AND unix_milli >= %d AND unix_milli <= %d
|
|
),
|
|
resolution_events AS (
|
|
SELECT
|
|
rule_id,
|
|
state,
|
|
unix_milli AS resolution_time
|
|
FROM %s.%s
|
|
WHERE overall_state = '` + model.StateInactive.String() + `'
|
|
AND overall_state_changed = true
|
|
AND rule_id IN ('%s')
|
|
AND unix_milli >= %d AND unix_milli <= %d
|
|
),
|
|
matched_events AS (
|
|
SELECT
|
|
f.rule_id,
|
|
f.state,
|
|
f.firing_time,
|
|
MIN(r.resolution_time) AS resolution_time
|
|
FROM firing_events f
|
|
LEFT JOIN resolution_events r
|
|
ON f.rule_id = r.rule_id
|
|
WHERE r.resolution_time > f.firing_time
|
|
GROUP BY f.rule_id, f.state, f.firing_time
|
|
)
|
|
SELECT AVG(resolution_time - firing_time) / 1000 AS avg_resolution_time
|
|
FROM matched_events;
|
|
`
|
|
|
|
query := fmt.Sprintf(tmpl,
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID, params.Start, params.End,
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID, params.Start, params.End)
|
|
|
|
zap.L().Debug("avg resolution time query", zap.String("query", query))
|
|
var avgResolutionTime float64
|
|
err := r.db.QueryRow(ctx, query).Scan(&avgResolutionTime)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
return avgResolutionTime, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetAvgResolutionTimeByInterval(ctx context.Context, ruleID string, params *model.QueryRuleStateHistory) (*v3.Series, error) {
|
|
|
|
step := common.MinAllowedStepInterval(params.Start, params.End)
|
|
|
|
tmpl := `
|
|
WITH firing_events AS (
|
|
SELECT
|
|
rule_id,
|
|
state,
|
|
unix_milli AS firing_time
|
|
FROM %s.%s
|
|
WHERE overall_state = '` + model.StateFiring.String() + `'
|
|
AND overall_state_changed = true
|
|
AND rule_id IN ('%s')
|
|
AND unix_milli >= %d AND unix_milli <= %d
|
|
),
|
|
resolution_events AS (
|
|
SELECT
|
|
rule_id,
|
|
state,
|
|
unix_milli AS resolution_time
|
|
FROM %s.%s
|
|
WHERE overall_state = '` + model.StateInactive.String() + `'
|
|
AND overall_state_changed = true
|
|
AND rule_id IN ('%s')
|
|
AND unix_milli >= %d AND unix_milli <= %d
|
|
),
|
|
matched_events AS (
|
|
SELECT
|
|
f.rule_id,
|
|
f.state,
|
|
f.firing_time,
|
|
MIN(r.resolution_time) AS resolution_time
|
|
FROM firing_events f
|
|
LEFT JOIN resolution_events r
|
|
ON f.rule_id = r.rule_id
|
|
WHERE r.resolution_time > f.firing_time
|
|
GROUP BY f.rule_id, f.state, f.firing_time
|
|
)
|
|
SELECT toStartOfInterval(toDateTime(firing_time / 1000), INTERVAL %d SECOND) AS ts, AVG(resolution_time - firing_time) / 1000 AS avg_resolution_time
|
|
FROM matched_events
|
|
GROUP BY ts
|
|
ORDER BY ts ASC;`
|
|
|
|
query := fmt.Sprintf(tmpl,
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID, params.Start, params.End,
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID, params.Start, params.End, step)
|
|
|
|
zap.L().Debug("avg resolution time by interval query", zap.String("query", query))
|
|
result, err := r.GetTimeSeriesResultV3(ctx, query)
|
|
if err != nil || len(result) == 0 {
|
|
return nil, err
|
|
}
|
|
|
|
return result[0], nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTotalTriggers(ctx context.Context, ruleID string, params *model.QueryRuleStateHistory) (uint64, error) {
|
|
query := fmt.Sprintf("SELECT count(*) FROM %s.%s WHERE rule_id = '%s' AND (state_changed = true) AND (state = '%s') AND unix_milli >= %d AND unix_milli <= %d",
|
|
signozHistoryDBName, ruleStateHistoryTableName, ruleID, model.StateFiring.String(), params.Start, params.End)
|
|
|
|
var totalTriggers uint64
|
|
|
|
err := r.db.QueryRow(ctx, query).Scan(&totalTriggers)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
return totalTriggers, nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetTriggersByInterval(ctx context.Context, ruleID string, params *model.QueryRuleStateHistory) (*v3.Series, error) {
|
|
step := common.MinAllowedStepInterval(params.Start, params.End)
|
|
|
|
query := fmt.Sprintf("SELECT count(*), toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL %d SECOND) as ts FROM %s.%s WHERE rule_id = '%s' AND (state_changed = true) AND (state = '%s') AND unix_milli >= %d AND unix_milli <= %d GROUP BY ts ORDER BY ts ASC",
|
|
step, signozHistoryDBName, ruleStateHistoryTableName, ruleID, model.StateFiring.String(), params.Start, params.End)
|
|
|
|
result, err := r.GetTimeSeriesResultV3(ctx, query)
|
|
if err != nil || len(result) == 0 {
|
|
return nil, err
|
|
}
|
|
|
|
return result[0], nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) GetMinAndMaxTimestampForTraceID(ctx context.Context, traceID []string) (int64, int64, error) {
|
|
var minTime, maxTime time.Time
|
|
|
|
query := fmt.Sprintf("SELECT min(timestamp), max(timestamp) FROM %s.%s WHERE traceID IN ('%s')",
|
|
r.TraceDB, r.SpansTable, strings.Join(traceID, "','"))
|
|
|
|
zap.L().Debug("GetMinAndMaxTimestampForTraceID", zap.String("query", query))
|
|
|
|
err := r.db.QueryRow(ctx, query).Scan(&minTime, &maxTime)
|
|
if err != nil {
|
|
zap.L().Error("Error while executing query", zap.Error(err))
|
|
return 0, 0, err
|
|
}
|
|
|
|
// return current time if traceID not found
|
|
if minTime.IsZero() || maxTime.IsZero() {
|
|
zap.L().Debug("minTime or maxTime is zero, traceID not found")
|
|
return time.Now().UnixNano(), time.Now().UnixNano(), nil
|
|
}
|
|
|
|
zap.L().Debug("GetMinAndMaxTimestampForTraceID", zap.Any("minTime", minTime), zap.Any("maxTime", maxTime))
|
|
|
|
return minTime.UnixNano(), maxTime.UnixNano(), nil
|
|
}
|
|
|
|
func (r *ClickHouseReader) ReportQueryStartForProgressTracking(
|
|
queryId string,
|
|
) (func(), *model.ApiError) {
|
|
return r.queryProgressTracker.ReportQueryStarted(queryId)
|
|
}
|
|
|
|
func (r *ClickHouseReader) SubscribeToQueryProgress(
|
|
queryId string,
|
|
) (<-chan model.QueryProgress, func(), *model.ApiError) {
|
|
return r.queryProgressTracker.SubscribeToQueryProgress(queryId)
|
|
}
|