aniketio-ctrl 68effaf232
chore: support for non-normalized metrics behind a feature flag (#7919)
feat(7294-services): added dot metrics boolean for services tab
2025-05-30 10:27:29 +00:00

377 lines
10 KiB
Go

package inframetrics
import (
"context"
"fmt"
"github.com/SigNoz/signoz/pkg/query-service/app/metrics/v4/helpers"
"github.com/SigNoz/signoz/pkg/query-service/common"
"github.com/SigNoz/signoz/pkg/query-service/constants"
"github.com/SigNoz/signoz/pkg/query-service/interfaces"
"github.com/SigNoz/signoz/pkg/query-service/model"
v3 "github.com/SigNoz/signoz/pkg/query-service/model/v3"
"github.com/SigNoz/signoz/pkg/query-service/postprocess"
"github.com/SigNoz/signoz/pkg/valuer"
"golang.org/x/exp/slices"
"math"
"sort"
"strings"
)
var (
metricToUseForNodes = GetDotMetrics("k8s_node_cpu_utilization")
nodeAttrsToEnrich = []string{GetDotMetrics("k8s_node_name"), GetDotMetrics("k8s_node_uid"), GetDotMetrics("k8s_cluster_name")}
k8sNodeGroupAttrKey = GetDotMetrics("k8s_node_name")
queryNamesForNodes = map[string][]string{
"cpu": {"A"},
"cpu_allocatable": {"B"},
"memory": {"C"},
"memory_allocatable": {"D"},
}
nodeQueryNames = []string{"A", "B", "C", "D", "E", "F"}
metricNamesForNodes = map[string]string{
"cpu": GetDotMetrics("k8s_node_cpu_utilization"),
"cpu_allocatable": GetDotMetrics("k8s_node_allocatable_cpu"),
"memory": GetDotMetrics("k8s_node_memory_usage"),
"memory_allocatable": GetDotMetrics("k8s_node_allocatable_memory"),
"node_condition": GetDotMetrics("k8s_node_condition_ready"),
}
)
type NodesRepo struct {
reader interfaces.Reader
querierV2 interfaces.Querier
}
func NewNodesRepo(reader interfaces.Reader, querierV2 interfaces.Querier) *NodesRepo {
return &NodesRepo{reader: reader, querierV2: querierV2}
}
func (n *NodesRepo) GetNodeAttributeKeys(ctx context.Context, req v3.FilterAttributeKeyRequest) (*v3.FilterAttributeKeyResponse, error) {
req.DataSource = v3.DataSourceMetrics
req.AggregateAttribute = metricToUseForNodes
if req.Limit == 0 {
req.Limit = 50
}
attributeKeysResponse, err := n.reader.GetMetricAttributeKeys(ctx, &req)
if err != nil {
return nil, err
}
return attributeKeysResponse, nil
}
func (n *NodesRepo) DidSendNodeMetrics(ctx context.Context) (bool, error) {
namesStr := "'" + strings.Join(nodeMetricNamesToCheck, "','") + "'"
query := fmt.Sprintf(didSendNodeMetricsQuery,
constants.SIGNOZ_METRIC_DBNAME, constants.SIGNOZ_TIMESERIES_v4_1DAY_TABLENAME, namesStr)
count, err := n.reader.GetCountOfThings(ctx, query)
if err != nil {
return false, err
}
return count > 0, nil
}
func (n *NodesRepo) GetNodeAttributeValues(ctx context.Context, req v3.FilterAttributeValueRequest) (*v3.FilterAttributeValueResponse, error) {
req.DataSource = v3.DataSourceMetrics
req.AggregateAttribute = metricToUseForNodes
if req.Limit == 0 {
req.Limit = 50
}
attributeValuesResponse, err := n.reader.GetMetricAttributeValues(ctx, &req)
if err != nil {
return nil, err
}
return attributeValuesResponse, nil
}
func (p *NodesRepo) getMetadataAttributes(ctx context.Context, req model.NodeListRequest) (map[string]map[string]string, error) {
nodeAttrs := map[string]map[string]string{}
for _, key := range nodeAttrsToEnrich {
hasKey := false
for _, groupByKey := range req.GroupBy {
if groupByKey.Key == key {
hasKey = true
break
}
}
if !hasKey {
req.GroupBy = append(req.GroupBy, v3.AttributeKey{Key: key})
}
}
mq := v3.BuilderQuery{
DataSource: v3.DataSourceMetrics,
AggregateAttribute: v3.AttributeKey{
Key: metricToUseForNodes,
DataType: v3.AttributeKeyDataTypeFloat64,
},
Temporality: v3.Unspecified,
GroupBy: req.GroupBy,
}
query, err := helpers.PrepareTimeseriesFilterQuery(req.Start, req.End, &mq)
if err != nil {
return nil, err
}
query = localQueryToDistributedQuery(query)
attrsListResponse, err := p.reader.GetListResultV3(ctx, query)
if err != nil {
return nil, err
}
for _, row := range attrsListResponse {
stringData := map[string]string{}
for key, value := range row.Data {
if str, ok := value.(string); ok {
stringData[key] = str
} else if strPtr, ok := value.(*string); ok {
stringData[key] = *strPtr
}
}
nodeUID := stringData[k8sNodeGroupAttrKey]
if _, ok := nodeAttrs[nodeUID]; !ok {
nodeAttrs[nodeUID] = map[string]string{}
}
for _, key := range req.GroupBy {
nodeAttrs[nodeUID][key.Key] = stringData[key.Key]
}
}
return nodeAttrs, nil
}
func (p *NodesRepo) getTopNodeGroups(ctx context.Context, orgID valuer.UUID, req model.NodeListRequest, q *v3.QueryRangeParamsV3) ([]map[string]string, []map[string]string, error) {
step, timeSeriesTableName, samplesTableName := getParamsForTopNodes(req)
queryNames := queryNamesForNodes[req.OrderBy.ColumnName]
topNodeGroupsQueryRangeParams := &v3.QueryRangeParamsV3{
Start: req.Start,
End: req.End,
Step: step,
CompositeQuery: &v3.CompositeQuery{
BuilderQueries: map[string]*v3.BuilderQuery{},
QueryType: v3.QueryTypeBuilder,
PanelType: v3.PanelTypeTable,
},
}
for _, queryName := range queryNames {
query := q.CompositeQuery.BuilderQueries[queryName].Clone()
query.StepInterval = step
query.MetricTableHints = &v3.MetricTableHints{
TimeSeriesTableName: timeSeriesTableName,
SamplesTableName: samplesTableName,
}
if req.Filters != nil && len(req.Filters.Items) > 0 {
if query.Filters == nil {
query.Filters = &v3.FilterSet{Operator: "AND", Items: []v3.FilterItem{}}
}
query.Filters.Items = append(query.Filters.Items, req.Filters.Items...)
}
topNodeGroupsQueryRangeParams.CompositeQuery.BuilderQueries[queryName] = query
}
queryResponse, _, err := p.querierV2.QueryRange(ctx, orgID, topNodeGroupsQueryRangeParams)
if err != nil {
return nil, nil, err
}
formattedResponse, err := postprocess.PostProcessResult(queryResponse, topNodeGroupsQueryRangeParams)
if err != nil {
return nil, nil, err
}
if len(formattedResponse) == 0 || len(formattedResponse[0].Series) == 0 {
return nil, nil, nil
}
if req.OrderBy.Order == v3.DirectionDesc {
sort.Slice(formattedResponse[0].Series, func(i, j int) bool {
return formattedResponse[0].Series[i].Points[0].Value > formattedResponse[0].Series[j].Points[0].Value
})
} else {
sort.Slice(formattedResponse[0].Series, func(i, j int) bool {
return formattedResponse[0].Series[i].Points[0].Value < formattedResponse[0].Series[j].Points[0].Value
})
}
max := math.Min(float64(req.Offset+req.Limit), float64(len(formattedResponse[0].Series)))
paginatedTopNodeGroupsSeries := formattedResponse[0].Series[req.Offset:int(max)]
topNodeGroups := []map[string]string{}
for _, series := range paginatedTopNodeGroupsSeries {
topNodeGroups = append(topNodeGroups, series.Labels)
}
allNodeGroups := []map[string]string{}
for _, series := range formattedResponse[0].Series {
allNodeGroups = append(allNodeGroups, series.Labels)
}
return topNodeGroups, allNodeGroups, nil
}
func (p *NodesRepo) GetNodeList(ctx context.Context, orgID valuer.UUID, req model.NodeListRequest) (model.NodeListResponse, error) {
resp := model.NodeListResponse{}
if req.Limit == 0 {
req.Limit = 10
}
if req.OrderBy == nil {
req.OrderBy = &v3.OrderBy{ColumnName: "cpu", Order: v3.DirectionDesc}
}
if req.GroupBy == nil {
req.GroupBy = []v3.AttributeKey{{Key: k8sNodeGroupAttrKey}}
resp.Type = model.ResponseTypeList
} else {
resp.Type = model.ResponseTypeGroupedList
}
step := int64(math.Max(float64(common.MinAllowedStepInterval(req.Start, req.End)), 60))
query := NodesTableListQuery.Clone()
query.Start = req.Start
query.End = req.End
query.Step = step
for _, query := range query.CompositeQuery.BuilderQueries {
query.StepInterval = step
if req.Filters != nil && len(req.Filters.Items) > 0 {
if query.Filters == nil {
query.Filters = &v3.FilterSet{Operator: "AND", Items: []v3.FilterItem{}}
}
query.Filters.Items = append(query.Filters.Items, req.Filters.Items...)
}
query.GroupBy = req.GroupBy
}
nodeAttrs, err := p.getMetadataAttributes(ctx, req)
if err != nil {
return resp, err
}
topNodeGroups, allNodeGroups, err := p.getTopNodeGroups(ctx, orgID, req, query)
if err != nil {
return resp, err
}
groupFilters := map[string][]string{}
for _, topNodeGroup := range topNodeGroups {
for k, v := range topNodeGroup {
groupFilters[k] = append(groupFilters[k], v)
}
}
for groupKey, groupValues := range groupFilters {
hasGroupFilter := false
if req.Filters != nil && len(req.Filters.Items) > 0 {
for _, filter := range req.Filters.Items {
if filter.Key.Key == groupKey {
hasGroupFilter = true
break
}
}
}
if !hasGroupFilter {
for _, query := range query.CompositeQuery.BuilderQueries {
query.Filters.Items = append(query.Filters.Items, v3.FilterItem{
Key: v3.AttributeKey{Key: groupKey},
Value: groupValues,
Operator: v3.FilterOperatorIn,
})
}
}
}
queryResponse, _, err := p.querierV2.QueryRange(ctx, orgID, query)
if err != nil {
return resp, err
}
formattedResponse, err := postprocess.PostProcessResult(queryResponse, query)
if err != nil {
return resp, err
}
records := []model.NodeListRecord{}
for _, result := range formattedResponse {
for _, row := range result.Table.Rows {
record := model.NodeListRecord{
NodeCPUUsage: -1,
NodeCPUAllocatable: -1,
NodeMemoryUsage: -1,
NodeMemoryAllocatable: -1,
}
if nodeUID, ok := row.Data[k8sNodeGroupAttrKey].(string); ok {
record.NodeUID = nodeUID
}
if cpu, ok := row.Data["A"].(float64); ok {
record.NodeCPUUsage = cpu
}
if cpuAllocatable, ok := row.Data["B"].(float64); ok {
record.NodeCPUAllocatable = cpuAllocatable
}
if mem, ok := row.Data["C"].(float64); ok {
record.NodeMemoryUsage = mem
}
if memory, ok := row.Data["D"].(float64); ok {
record.NodeMemoryAllocatable = memory
}
if ready, ok := row.Data["E"].(float64); ok {
record.CountByCondition.Ready = int(ready)
}
if notReady, ok := row.Data["F"].(float64); ok {
record.CountByCondition.NotReady = int(notReady)
}
record.Meta = map[string]string{}
if _, ok := nodeAttrs[record.NodeUID]; ok && record.NodeUID != "" {
record.Meta = nodeAttrs[record.NodeUID]
}
for k, v := range row.Data {
if slices.Contains(nodeQueryNames, k) {
continue
}
if labelValue, ok := v.(string); ok {
record.Meta[k] = labelValue
}
}
records = append(records, record)
}
}
resp.Total = len(allNodeGroups)
resp.Records = records
resp.SortBy(req.OrderBy)
return resp, nil
}