2024-12-19 17:22:39 +05:30

409 lines
11 KiB
Go

package inframetrics
import (
"context"
"math"
"sort"
"go.signoz.io/signoz/pkg/query-service/app/metrics/v4/helpers"
"go.signoz.io/signoz/pkg/query-service/common"
"go.signoz.io/signoz/pkg/query-service/interfaces"
"go.signoz.io/signoz/pkg/query-service/model"
v3 "go.signoz.io/signoz/pkg/query-service/model/v3"
"go.signoz.io/signoz/pkg/query-service/postprocess"
"golang.org/x/exp/slices"
)
var (
metricToUseForPods = "k8s_pod_cpu_utilization"
podAttrsToEnrich = []string{
"k8s_pod_uid",
"k8s_pod_name",
"k8s_namespace_name",
"k8s_node_name",
"k8s_deployment_name",
"k8s_statefulset_name",
"k8s_daemonset_name",
"k8s_job_name",
"k8s_cronjob_name",
"k8s_cluster_name",
}
k8sPodUIDAttrKey = "k8s_pod_uid"
queryNamesForPods = map[string][]string{
"cpu": {"A"},
"cpu_request": {"B", "A"},
"cpu_limit": {"C", "A"},
"memory": {"D"},
"memory_request": {"E", "D"},
"memory_limit": {"F", "D"},
"restarts": {"G", "A"},
"pod_phase": {"H", "I", "J", "K"},
}
podQueryNames = []string{"A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K"}
metricNamesForPods = map[string]string{
"cpu": "k8s_pod_cpu_utilization",
"cpu_request": "k8s_pod_cpu_request_utilization",
"cpu_limit": "k8s_pod_cpu_limit_utilization",
"memory": "k8s_pod_memory_usage",
"memory_request": "k8s_pod_memory_request_utilization",
"memory_limit": "k8s_pod_memory_limit_utilization",
"restarts": "k8s_container_restarts",
"pod_phase": "k8s_pod_phase",
}
)
type PodsRepo struct {
reader interfaces.Reader
querierV2 interfaces.Querier
}
func NewPodsRepo(reader interfaces.Reader, querierV2 interfaces.Querier) *PodsRepo {
return &PodsRepo{reader: reader, querierV2: querierV2}
}
func (p *PodsRepo) GetPodAttributeKeys(ctx context.Context, req v3.FilterAttributeKeyRequest) (*v3.FilterAttributeKeyResponse, error) {
// TODO(srikanthccv): remove hardcoded metric name and support keys from any pod metric
req.DataSource = v3.DataSourceMetrics
req.AggregateAttribute = metricToUseForPods
if req.Limit == 0 {
req.Limit = 50
}
attributeKeysResponse, err := p.reader.GetMetricAttributeKeys(ctx, &req)
if err != nil {
return nil, err
}
// TODO(srikanthccv): only return resource attributes when we have a way to
// distinguish between resource attributes and other attributes.
filteredKeys := []v3.AttributeKey{}
for _, key := range attributeKeysResponse.AttributeKeys {
if slices.Contains(pointAttrsToIgnore, key.Key) {
continue
}
filteredKeys = append(filteredKeys, key)
}
return &v3.FilterAttributeKeyResponse{AttributeKeys: filteredKeys}, nil
}
func (p *PodsRepo) GetPodAttributeValues(ctx context.Context, req v3.FilterAttributeValueRequest) (*v3.FilterAttributeValueResponse, error) {
req.DataSource = v3.DataSourceMetrics
req.AggregateAttribute = metricToUseForPods
if req.Limit == 0 {
req.Limit = 50
}
attributeValuesResponse, err := p.reader.GetMetricAttributeValues(ctx, &req)
if err != nil {
return nil, err
}
return attributeValuesResponse, nil
}
func (p *PodsRepo) getMetadataAttributes(ctx context.Context, req model.PodListRequest) (map[string]map[string]string, error) {
podAttrs := map[string]map[string]string{}
for _, key := range podAttrsToEnrich {
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: metricToUseForPods,
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
}
}
podName := stringData[k8sPodUIDAttrKey]
if _, ok := podAttrs[podName]; !ok {
podAttrs[podName] = map[string]string{}
}
for _, key := range req.GroupBy {
podAttrs[podName][key.Key] = stringData[key.Key]
}
}
return podAttrs, nil
}
func (p *PodsRepo) getTopPodGroups(ctx context.Context, req model.PodListRequest, q *v3.QueryRangeParamsV3) ([]map[string]string, []map[string]string, error) {
step, timeSeriesTableName, samplesTableName := getParamsForTopPods(req)
queryNames := queryNamesForPods[req.OrderBy.ColumnName]
topPodGroupsQueryRangeParams := &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...)
}
topPodGroupsQueryRangeParams.CompositeQuery.BuilderQueries[queryName] = query
}
queryResponse, _, err := p.querierV2.QueryRange(ctx, topPodGroupsQueryRangeParams)
if err != nil {
return nil, nil, err
}
formattedResponse, err := postprocess.PostProcessResult(queryResponse, topPodGroupsQueryRangeParams)
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
})
}
limit := math.Min(float64(req.Offset+req.Limit), float64(len(formattedResponse[0].Series)))
paginatedTopPodGroupsSeries := formattedResponse[0].Series[req.Offset:int(limit)]
topPodGroups := []map[string]string{}
for _, series := range paginatedTopPodGroupsSeries {
topPodGroups = append(topPodGroups, series.Labels)
}
allPodGroups := []map[string]string{}
for _, series := range formattedResponse[0].Series {
allPodGroups = append(allPodGroups, series.Labels)
}
return topPodGroups, allPodGroups, nil
}
func (p *PodsRepo) GetPodList(ctx context.Context, req model.PodListRequest) (model.PodListResponse, error) {
resp := model.PodListResponse{}
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: k8sPodUIDAttrKey}}
resp.Type = model.ResponseTypeList
} else {
resp.Type = model.ResponseTypeGroupedList
}
step := int64(math.Max(float64(common.MinAllowedStepInterval(req.Start, req.End)), 60))
query := PodsTableListQuery.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
}
podAttrs, err := p.getMetadataAttributes(ctx, req)
if err != nil {
return resp, err
}
topPodGroups, allPodGroups, err := p.getTopPodGroups(ctx, req, query)
if err != nil {
return resp, err
}
groupFilters := map[string][]string{}
for _, topPodGroup := range topPodGroups {
for k, v := range topPodGroup {
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, query)
if err != nil {
return resp, err
}
formattedResponse, err := postprocess.PostProcessResult(queryResponse, query)
if err != nil {
return resp, err
}
records := []model.PodListRecord{}
for _, result := range formattedResponse {
for _, row := range result.Table.Rows {
record := model.PodListRecord{
PodCPU: -1,
PodCPURequest: -1,
PodCPULimit: -1,
PodMemory: -1,
PodMemoryRequest: -1,
PodMemoryLimit: -1,
RestartCount: -1,
}
if podUID, ok := row.Data[k8sPodUIDAttrKey].(string); ok {
record.PodUID = podUID
}
if cpu, ok := row.Data["A"].(float64); ok {
record.PodCPU = cpu
}
if cpuRequest, ok := row.Data["B"].(float64); ok {
record.PodCPURequest = cpuRequest
}
if cpuLimit, ok := row.Data["C"].(float64); ok {
record.PodCPULimit = cpuLimit
}
if memory, ok := row.Data["D"].(float64); ok {
record.PodMemory = memory
}
if memoryRequest, ok := row.Data["E"].(float64); ok {
record.PodMemoryRequest = memoryRequest
}
if memoryLimit, ok := row.Data["F"].(float64); ok {
record.PodMemoryLimit = memoryLimit
}
if restarts, ok := row.Data["G"].(float64); ok {
record.RestartCount = int(restarts)
}
if pending, ok := row.Data["H"].(float64); ok {
record.CountByPhase.Pending = int(pending)
}
if running, ok := row.Data["I"].(float64); ok {
record.CountByPhase.Running = int(running)
}
if succeeded, ok := row.Data["J"].(float64); ok {
record.CountByPhase.Succeeded = int(succeeded)
}
if failed, ok := row.Data["K"].(float64); ok {
record.CountByPhase.Failed = int(failed)
}
record.Meta = map[string]string{}
if _, ok := podAttrs[record.PodUID]; ok {
record.Meta = podAttrs[record.PodUID]
}
for k, v := range row.Data {
if slices.Contains(podQueryNames, k) {
continue
}
if labelValue, ok := v.(string); ok {
record.Meta[k] = labelValue
}
}
records = append(records, record)
}
}
resp.Total = len(allPodGroups)
resp.Records = records
return resp, nil
}