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@@ -2340,41 +2340,25 @@ func (r *ClickHouseReader) GetTotalLogs(ctx context.Context) (uint64, error) {
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func (r *ClickHouseReader) FetchTemporality(ctx context.Context, orgID valuer.UUID, metricNames []string) (map[string]map[v3.Temporality]bool, error) {
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metricNameToTemporality := make(map[string]map[v3.Temporality]bool)
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var metricNamesToQuery []string
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for _, metricName := range metricNames {
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updatedMetadata, cacheErr := r.GetUpdatedMetricsMetadata(ctx, orgID, metricName)
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if cacheErr != nil {
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zap.L().Info("Error in getting metrics cached metadata", zap.Error(cacheErr))
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}
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if metadata, exist := updatedMetadata[metricName]; exist {
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if _, exists := metricNameToTemporality[metricName]; !exists {
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metricNameToTemporality[metricName] = make(map[v3.Temporality]bool)
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}
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metricNameToTemporality[metricName][metadata.Temporality] = true
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} else {
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metricNamesToQuery = append(metricNamesToQuery, metricName)
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}
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// Batch fetch all metadata at once
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metadataMap, apiErr := r.GetUpdatedMetricsMetadata(ctx, orgID, metricNames...)
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if apiErr != nil {
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zap.L().Warn("Failed to fetch updated metrics metadata", zap.Error(apiErr))
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// best-effort return, not failing outright
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return metricNameToTemporality, nil
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}
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query := fmt.Sprintf(`SELECT DISTINCT metric_name, temporality FROM %s.%s WHERE metric_name IN $1`, signozMetricDBName, signozTSTableNameV41Day)
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rows, err := r.db.Query(ctx, query, metricNames)
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if err != nil {
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return nil, err
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}
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defer rows.Close()
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for rows.Next() {
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var metricName, temporality string
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err := rows.Scan(&metricName, &temporality)
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if err != nil {
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return nil, err
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for metricName, metadata := range metadataMap {
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if metadata == nil {
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continue
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}
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if _, ok := metricNameToTemporality[metricName]; !ok {
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if _, exists := metricNameToTemporality[metricName]; !exists {
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metricNameToTemporality[metricName] = make(map[v3.Temporality]bool)
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}
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metricNameToTemporality[metricName][v3.Temporality(temporality)] = true
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metricNameToTemporality[metricName][metadata.Temporality] = true
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}
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return metricNameToTemporality, nil
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}
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@@ -3029,67 +3013,80 @@ func (r *ClickHouseReader) QueryDashboardVars(ctx context.Context, query string)
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}
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func (r *ClickHouseReader) GetMetricAggregateAttributes(ctx context.Context, orgID valuer.UUID, req *v3.AggregateAttributeRequest, skipSignozMetrics bool) (*v3.AggregateAttributeResponse, error) {
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var query string
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var err error
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var rows driver.Rows
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var response v3.AggregateAttributeResponse
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normalized := true
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if constants.IsDotMetricsEnabled {
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normalized = false
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}
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query = fmt.Sprintf("SELECT metric_name, type, is_monotonic, temporality FROM %s.%s WHERE metric_name ILIKE $1 and __normalized = $2 GROUP BY metric_name, type, is_monotonic, temporality", signozMetricDBName, signozTSTableNameV41Day)
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// Query all relevant metric names from time_series_v4, but leave metadata retrieval to cache/db
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query := fmt.Sprintf(
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`SELECT DISTINCT metric_name
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FROM %s.%s
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WHERE metric_name ILIKE $1 AND __normalized = $2`,
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signozMetricDBName, signozTSTableNameV41Day)
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if req.Limit != 0 {
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query = query + fmt.Sprintf(" LIMIT %d;", req.Limit)
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}
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rows, err = r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText), normalized)
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rows, err := r.db.Query(ctx, query, fmt.Sprintf("%%%s%%", req.SearchText), normalized)
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if err != nil {
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zap.L().Error("Error while executing query", zap.Error(err))
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return nil, fmt.Errorf("error while executing query: %s", err.Error())
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zap.L().Error("Error while querying metric names", zap.Error(err))
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return nil, fmt.Errorf("error while executing metric name query: %s", err.Error())
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}
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defer rows.Close()
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seen := make(map[string]struct{})
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var metricName, typ, temporality string
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var isMonotonic bool
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var metricNames []string
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for rows.Next() {
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if err := rows.Scan(&metricName, &typ, &isMonotonic, &temporality); err != nil {
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return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
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var name string
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if err := rows.Scan(&name); err != nil {
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return nil, fmt.Errorf("error while scanning metric name: %s", err.Error())
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}
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if skipSignozMetrics && strings.HasPrefix(name, "signoz") {
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continue
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}
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metricNames = append(metricNames, name)
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}
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if skipSignozMetrics && strings.HasPrefix(metricName, "signoz") {
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if len(metricNames) == 0 {
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return &response, nil
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}
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// Get all metadata in one shot
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metadataMap, apiError := r.GetUpdatedMetricsMetadata(ctx, orgID, metricNames...)
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if apiError != nil {
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return &response, fmt.Errorf("error getting updated metrics metadata: %s", apiError.Error())
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}
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seen := make(map[string]struct{})
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for _, name := range metricNames {
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metadata, ok := metadataMap[name]
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if !ok {
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continue
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}
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metadata, apiError := r.GetUpdatedMetricsMetadata(ctx, orgID, metricName)
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if apiError != nil {
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zap.L().Error("Error in getting metrics cached metadata", zap.Error(apiError))
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}
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if updatedMetadata, exist := metadata[metricName]; exist {
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typ = string(updatedMetadata.MetricType)
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isMonotonic = updatedMetadata.IsMonotonic
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temporality = string(updatedMetadata.Temporality)
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}
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typ := string(metadata.MetricType)
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temporality := string(metadata.Temporality)
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isMonotonic := metadata.IsMonotonic
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// Non-monotonic cumulative sums are treated as gauges
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if typ == "Sum" && !isMonotonic && temporality == string(v3.Cumulative) {
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typ = "Gauge"
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}
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// unlike traces/logs `tag`/`resource` type, the `Type` will be metric type
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key := v3.AttributeKey{
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Key: metricName,
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Key: name,
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DataType: v3.AttributeKeyDataTypeFloat64,
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Type: v3.AttributeKeyType(typ),
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IsColumn: true,
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}
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// remove duplicates
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if _, ok := seen[metricName+typ]; ok {
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if _, ok := seen[name+typ]; ok {
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continue
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}
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seen[metricName+typ] = struct{}{}
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seen[name+typ] = struct{}{}
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response.AttributeKeys = append(response.AttributeKeys, key)
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}
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@@ -3181,72 +3178,67 @@ func (r *ClickHouseReader) GetMetricMetadata(ctx context.Context, orgID valuer.U
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unixMilli := common.PastDayRoundOff()
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// Note: metric metadata should be accessible regardless of the time range selection
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// our standard retention period is 30 days, so we are querying the table v4_1_day to reduce the
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// amount of data scanned
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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)
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rows, err := r.db.Query(ctx, query, metricName, unixMilli)
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if err != nil {
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zap.L().Error("Error while fetching metric metadata", zap.Error(err))
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return nil, fmt.Errorf("error while fetching metric metadata: %s", err.Error())
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}
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defer rows.Close()
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var deltaExists, isMonotonic bool
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var temporality, description, metricType, unit string
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for rows.Next() {
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if err := rows.Scan(&temporality, &description, &metricType, &unit, &isMonotonic); err != nil {
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return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
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}
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if temporality == string(v3.Delta) {
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deltaExists = true
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}
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}
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metadata, apiError := r.GetUpdatedMetricsMetadata(ctx, orgID, metricName)
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// 1. Fetch metadata from cache/db using unified function
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metadataMap, apiError := r.GetUpdatedMetricsMetadata(ctx, orgID, metricName)
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if apiError != nil {
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zap.L().Error("Error in getting metric cached metadata", zap.Error(apiError))
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return nil, fmt.Errorf("error fetching metric metadata: %s", apiError.Err.Error())
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}
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if updatedMetadata, exist := metadata[metricName]; exist {
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metricType = string(updatedMetadata.MetricType)
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temporality = string(updatedMetadata.Temporality)
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// Defaults in case metadata is not found
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var (
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deltaExists bool
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isMonotonic bool
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temporality string
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description string
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metricType string
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unit string
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)
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if metadata, exists := metadataMap[metricName]; exists {
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metricType = string(metadata.MetricType)
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temporality = string(metadata.Temporality)
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isMonotonic = metadata.IsMonotonic
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description = metadata.Description
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unit = metadata.Unit
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if temporality == string(v3.Delta) {
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deltaExists = true
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}
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isMonotonic = updatedMetadata.IsMonotonic
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if updatedMetadata.Description != "" {
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description = updatedMetadata.Description
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}
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if updatedMetadata.Unit != "" {
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unit = updatedMetadata.Unit
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}
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}
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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)
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rows, err = r.db.Query(ctx, query, metricName, unixMilli, serviceName)
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if err != nil {
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zap.L().Error("Error while executing query", zap.Error(err))
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return nil, fmt.Errorf("error while executing query: %s", err.Error())
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}
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defer rows.Close()
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// 2. Only for Histograms, get `le` buckets
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var leFloat64 []float64
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for rows.Next() {
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var leStr string
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if err := rows.Scan(&leStr); err != nil {
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return nil, fmt.Errorf("error while scanning rows: %s", err.Error())
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}
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le, err := strconv.ParseFloat(leStr, 64)
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// ignore the error and continue if the value is not a float
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// ideally this should not happen but we have seen ClickHouse
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// returning empty string for some values
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if metricType == string(v3.MetricTypeHistogram) {
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query := fmt.Sprintf(`
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SELECT JSONExtractString(labels, 'le') AS le
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FROM %s.%s
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WHERE metric_name = $1
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AND unix_milli >= $2
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AND type = 'Histogram'
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AND JSONExtractString(labels, 'service_name') = $3
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GROUP BY le
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ORDER BY le`, signozMetricDBName, signozTSTableNameV41Day)
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rows, err := r.db.Query(ctx, query, metricName, unixMilli, serviceName)
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if err != nil {
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zap.L().Error("error while parsing le value", zap.Error(err))
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continue
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zap.L().Error("Error while querying histogram buckets", zap.Error(err))
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return nil, fmt.Errorf("error while querying histogram buckets: %s", err.Error())
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}
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if math.IsInf(le, 0) {
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continue
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defer rows.Close()
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for rows.Next() {
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var leStr string
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if err := rows.Scan(&leStr); err != nil {
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return nil, fmt.Errorf("error while scanning le: %s", err.Error())
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}
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le, err := strconv.ParseFloat(leStr, 64)
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if err != nil || math.IsInf(le, 0) {
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zap.L().Error("Invalid 'le' bucket value", zap.String("value", leStr), zap.Error(err))
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continue
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}
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leFloat64 = append(leFloat64, le)
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}
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leFloat64 = append(leFloat64, le)
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}
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return &v3.MetricMetadataResponse{
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@@ -6258,33 +6250,11 @@ func (r *ClickHouseReader) CheckForLabelsInMetric(ctx context.Context, metricNam
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return hasLE, nil
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}
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func (r *ClickHouseReader) PreloadMetricsMetadata(ctx context.Context, orgID valuer.UUID) []error {
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var allMetricsMetadata []model.UpdateMetricsMetadata
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var errorList []error
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// Fetch all rows from ClickHouse
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query := fmt.Sprintf(`SELECT metric_name, type, description , temporality, is_monotonic, unit
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FROM %s.%s;`, signozMetricDBName, signozUpdatedMetricsMetadataTable)
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valueCtx := context.WithValue(ctx, "clickhouse_max_threads", constants.MetricsExplorerClickhouseThreads)
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err := r.db.Select(valueCtx, &allMetricsMetadata, query)
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if err != nil {
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errorList = append(errorList, err)
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return errorList
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}
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for _, m := range allMetricsMetadata {
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err := r.cache.Set(ctx, orgID, constants.UpdatedMetricsMetadataCachePrefix+m.MetricName, &m, -1)
|
|
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|
|
if err != nil {
|
|
|
|
|
errorList = append(errorList, err)
|
|
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|
}
|
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|
}
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return errorList
|
|
|
|
|
}
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|
func (r *ClickHouseReader) GetUpdatedMetricsMetadata(ctx context.Context, orgID valuer.UUID, metricNames ...string) (map[string]*model.UpdateMetricsMetadata, *model.ApiError) {
|
|
|
|
|
cachedMetadata := make(map[string]*model.UpdateMetricsMetadata)
|
|
|
|
|
var missingMetrics []string
|
|
|
|
|
|
|
|
|
|
// First, try retrieving each metric from cache.
|
|
|
|
|
// 1. Try cache
|
|
|
|
|
for _, metricName := range metricNames {
|
|
|
|
|
metadata := new(model.UpdateMetricsMetadata)
|
|
|
|
|
cacheKey := constants.UpdatedMetricsMetadataCachePrefix + metricName
|
|
|
|
|
@@ -6296,10 +6266,10 @@ func (r *ClickHouseReader) GetUpdatedMetricsMetadata(ctx context.Context, orgID
|
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|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// If there are any metrics missing in the cache, query them from the database.
|
|
|
|
|
// 2. Try updated_metrics_metadata table
|
|
|
|
|
var stillMissing []string
|
|
|
|
|
if len(missingMetrics) > 0 {
|
|
|
|
|
// Join the missing metric names; ensure proper quoting if needed.
|
|
|
|
|
metricList := "'" + strings.Join(metricNames, "', '") + "'"
|
|
|
|
|
metricList := "'" + strings.Join(missingMetrics, "', '") + "'"
|
|
|
|
|
query := fmt.Sprintf(`SELECT metric_name, type, description, temporality, is_monotonic, unit
|
|
|
|
|
FROM %s.%s
|
|
|
|
|
WHERE metric_name IN (%s);`, signozMetricDBName, signozUpdatedMetricsMetadataTable, metricList)
|
|
|
|
|
@@ -6311,6 +6281,7 @@ func (r *ClickHouseReader) GetUpdatedMetricsMetadata(ctx context.Context, orgID
|
|
|
|
|
}
|
|
|
|
|
defer rows.Close()
|
|
|
|
|
|
|
|
|
|
found := make(map[string]struct{})
|
|
|
|
|
for rows.Next() {
|
|
|
|
|
metadata := new(model.UpdateMetricsMetadata)
|
|
|
|
|
if err := rows.Scan(
|
|
|
|
|
@@ -6324,15 +6295,57 @@ func (r *ClickHouseReader) GetUpdatedMetricsMetadata(ctx context.Context, orgID
|
|
|
|
|
return cachedMetadata, &model.ApiError{Typ: "ClickhouseErr", Err: fmt.Errorf("error scanning metrics metadata: %v", err)}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Cache the result for future requests.
|
|
|
|
|
cacheKey := constants.UpdatedMetricsMetadataCachePrefix + metadata.MetricName
|
|
|
|
|
if cacheErr := r.cache.Set(ctx, orgID, cacheKey, metadata, -1); cacheErr != nil {
|
|
|
|
|
zap.L().Error("Failed to store metrics metadata in cache", zap.String("metric_name", metadata.MetricName), zap.Error(cacheErr))
|
|
|
|
|
}
|
|
|
|
|
cachedMetadata[metadata.MetricName] = metadata
|
|
|
|
|
found[metadata.MetricName] = struct{}{}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// Determine which metrics are still missing
|
|
|
|
|
for _, m := range missingMetrics {
|
|
|
|
|
if _, ok := found[m]; !ok {
|
|
|
|
|
stillMissing = append(stillMissing, m)
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
// 3. Fallback: Try time_series_v4_1week table
|
|
|
|
|
if len(stillMissing) > 0 {
|
|
|
|
|
metricList := "'" + strings.Join(stillMissing, "', '") + "'"
|
|
|
|
|
query := fmt.Sprintf(`SELECT DISTINCT metric_name, type, description, temporality, is_monotonic, unit
|
|
|
|
|
FROM %s.%s
|
|
|
|
|
WHERE metric_name IN (%s)`, signozMetricDBName, signozTSTableNameV4, metricList)
|
|
|
|
|
valueCtx := context.WithValue(ctx, "clickhouse_max_threads", constants.MetricsExplorerClickhouseThreads)
|
|
|
|
|
rows, err := r.db.Query(valueCtx, query)
|
|
|
|
|
if err != nil {
|
|
|
|
|
return cachedMetadata, &model.ApiError{Typ: "ClickhouseErr", Err: fmt.Errorf("error querying time_series_v4 to get metrics metadata: %v", err)}
|
|
|
|
|
}
|
|
|
|
|
defer rows.Close()
|
|
|
|
|
for rows.Next() {
|
|
|
|
|
metadata := new(model.UpdateMetricsMetadata)
|
|
|
|
|
if err := rows.Scan(
|
|
|
|
|
&metadata.MetricName,
|
|
|
|
|
&metadata.MetricType,
|
|
|
|
|
&metadata.Description,
|
|
|
|
|
&metadata.Temporality,
|
|
|
|
|
&metadata.IsMonotonic,
|
|
|
|
|
&metadata.Unit,
|
|
|
|
|
); err != nil {
|
|
|
|
|
return cachedMetadata, &model.ApiError{Typ: "ClickhouseErr", Err: fmt.Errorf("error scanning fallback metadata: %v", err)}
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
cacheKey := constants.UpdatedMetricsMetadataCachePrefix + metadata.MetricName
|
|
|
|
|
if cacheErr := r.cache.Set(ctx, orgID, cacheKey, metadata, -1); cacheErr != nil {
|
|
|
|
|
zap.L().Error("Failed to cache fallback metadata", zap.String("metric_name", metadata.MetricName), zap.Error(cacheErr))
|
|
|
|
|
}
|
|
|
|
|
cachedMetadata[metadata.MetricName] = metadata
|
|
|
|
|
}
|
|
|
|
|
if rows.Err() != nil {
|
|
|
|
|
return cachedMetadata, &model.ApiError{Typ: "ClickhouseErr", Err: fmt.Errorf("error scanning fallback metadata: %v", err)}
|
|
|
|
|
}
|
|
|
|
|
}
|
|
|
|
|
return cachedMetadata, nil
|
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|