grafana/pkg/expr/metrics/metrics.go

140 lines
4.9 KiB
Go

package metrics
import (
"github.com/prometheus/client_golang/prometheus"
)
// ExprMetrics is a struct that contains all the metrics for an implementation of the expressions service
// shared between multiple versions of expressions service, which are delineated by the subsystem string
type ExprMetrics struct {
DSRequests *prometheus.CounterVec
ExpressionsQuerySummary *prometheus.SummaryVec
SqlCommandDuration *prometheus.HistogramVec
SqlCommandCount *prometheus.CounterVec
SqlCommandCellCount *prometheus.HistogramVec
SqlCommandInputCount *prometheus.CounterVec
}
func newExprMetrics(subsystem string) *ExprMetrics {
return &ExprMetrics{
DSRequests: prometheus.NewCounterVec(prometheus.CounterOpts{
Namespace: "grafana",
Subsystem: subsystem,
Name: "ds_queries_total",
Help: "Number of datasource queries made via server side expression requests",
}, []string{"error", "dataplane", "datasource_type"}),
ExpressionsQuerySummary: prometheus.NewSummaryVec(
prometheus.SummaryOpts{
Namespace: "grafana",
Subsystem: subsystem,
Name: "expressions_queries_duration_milliseconds",
Help: "Expressions query summary",
Objectives: map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001},
},
[]string{"status"},
),
SqlCommandDuration: prometheus.NewHistogramVec(prometheus.HistogramOpts{
Namespace: "grafana",
Subsystem: subsystem,
Name: "sql_command_duration_milliseconds",
Help: "Duration of SQL command execution in milliseconds",
Buckets: []float64{100, 200, 300, 500, 750, 1000, 2000, 5000, 10000},
}, []string{"status"}),
SqlCommandCount: prometheus.NewCounterVec(prometheus.CounterOpts{
Namespace: "grafana",
Subsystem: subsystem,
Name: "sql_command_count",
Help: "Total number of SQL command executions with a status label and error_type for more detailed categorization of errors. When there is no error, error_type is 'none'. The two types of error_types that are unhandled are 'general_gms_error', and and 'unknown'",
}, []string{"status", "error_type"}),
SqlCommandCellCount: prometheus.NewHistogramVec(
prometheus.HistogramOpts{
Namespace: "grafana",
Subsystem: subsystem,
Name: "sql_command_cell_count",
Help: "Distribution of the total number of cells in each SQL command execution",
Buckets: prometheus.ExponentialBuckets(100, 2, 10),
},
[]string{"status"},
),
SqlCommandInputCount: prometheus.NewCounterVec(prometheus.CounterOpts{
Namespace: "grafana",
Subsystem: subsystem,
Name: "sql_command_input_count",
Help: "Total number of inputs to the SQL command. Errors here are also counted in the sql_command_count metric but without the datasource_type and input_frame_type. The attempted_conversion label indicates if the input was converted from another format (e.g. from labeled time series) or passed through as a table. Since a single SQL expression can have multiple inputs, this can count higher than sql_command_count.",
}, []string{"status", "attempted_conversion", "datasource_type", "input_frame_type"}),
}
}
// NewSSEMetrics creates a new ExprMetrics struct for the ST implementation of the expressions service
func NewSSEMetrics(reg prometheus.Registerer) *ExprMetrics {
metricsSubSystem := "sse"
m := &ExprMetrics{
DSRequests: newExprMetrics(metricsSubSystem).DSRequests,
ExpressionsQuerySummary: newExprMetrics(metricsSubSystem).ExpressionsQuerySummary,
SqlCommandDuration: newExprMetrics(metricsSubSystem).SqlCommandDuration,
SqlCommandCount: newExprMetrics(metricsSubSystem).SqlCommandCount,
SqlCommandCellCount: newExprMetrics(metricsSubSystem).SqlCommandCellCount,
SqlCommandInputCount: newExprMetrics(metricsSubSystem).SqlCommandInputCount,
}
if reg != nil {
reg.MustRegister(
m.DSRequests,
m.ExpressionsQuerySummary,
m.SqlCommandDuration,
m.SqlCommandCount,
m.SqlCommandCellCount,
m.SqlCommandInputCount,
)
}
return m
}
// NewQueryServiceExpressionsMetrics creates a new ExprMetrics struct for the query service implementation of the expressions service
func NewQueryServiceExpressionsMetrics(reg prometheus.Registerer) *ExprMetrics {
metricsSubSystem := "queryservice"
m := &ExprMetrics{
DSRequests: newExprMetrics(metricsSubSystem).DSRequests,
ExpressionsQuerySummary: newExprMetrics(metricsSubSystem).ExpressionsQuerySummary,
SqlCommandDuration: newExprMetrics(metricsSubSystem).SqlCommandDuration,
SqlCommandCount: newExprMetrics(metricsSubSystem).SqlCommandCount,
SqlCommandCellCount: newExprMetrics(metricsSubSystem).SqlCommandCellCount,
SqlCommandInputCount: newExprMetrics(metricsSubSystem).SqlCommandInputCount,
}
if reg != nil {
reg.MustRegister(
m.DSRequests,
m.ExpressionsQuerySummary,
m.SqlCommandDuration,
m.SqlCommandCount,
m.SqlCommandCellCount,
m.SqlCommandInputCount,
)
}
return m
}
func NewTestMetrics() *ExprMetrics {
return newExprMetrics("test")
}