The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
 
 
 
 
grafana/pkg/tsdb/sql_engine.go

296 lines
7.7 KiB

package tsdb
import (
"context"
"fmt"
"sync"
"time"
"github.com/grafana/grafana/pkg/components/null"
"github.com/go-xorm/core"
"github.com/go-xorm/xorm"
"github.com/grafana/grafana/pkg/components/simplejson"
"github.com/grafana/grafana/pkg/models"
)
// SqlEngine is a wrapper class around xorm for relational database data sources.
type SqlEngine interface {
InitEngine(driverName string, dsInfo *models.DataSource, cnnstr string) error
Query(
ctx context.Context,
ds *models.DataSource,
query *TsdbQuery,
transformToTimeSeries func(query *Query, rows *core.Rows, result *QueryResult, tsdbQuery *TsdbQuery) error,
transformToTable func(query *Query, rows *core.Rows, result *QueryResult, tsdbQuery *TsdbQuery) error,
) (*Response, error)
}
// SqlMacroEngine interpolates macros into sql. It takes in the Query to have access to query context and
// timeRange to be able to generate queries that use from and to.
type SqlMacroEngine interface {
Interpolate(query *Query, timeRange *TimeRange, sql string) (string, error)
}
type DefaultSqlEngine struct {
MacroEngine SqlMacroEngine
XormEngine *xorm.Engine
}
type engineCacheType struct {
cache map[int64]*xorm.Engine
versions map[int64]int
sync.Mutex
}
var engineCache = engineCacheType{
cache: make(map[int64]*xorm.Engine),
versions: make(map[int64]int),
}
// InitEngine creates the db connection and inits the xorm engine or loads it from the engine cache
func (e *DefaultSqlEngine) InitEngine(driverName string, dsInfo *models.DataSource, cnnstr string) error {
engineCache.Lock()
defer engineCache.Unlock()
if engine, present := engineCache.cache[dsInfo.Id]; present {
if version := engineCache.versions[dsInfo.Id]; version == dsInfo.Version {
e.XormEngine = engine
return nil
}
}
engine, err := xorm.NewEngine(driverName, cnnstr)
if err != nil {
return err
}
engine.SetMaxOpenConns(10)
engine.SetMaxIdleConns(10)
engineCache.cache[dsInfo.Id] = engine
e.XormEngine = engine
return nil
}
// Query is a default implementation of the Query method for an SQL data source.
// The caller of this function must implement transformToTimeSeries and transformToTable and
// pass them in as parameters.
func (e *DefaultSqlEngine) Query(
ctx context.Context,
dsInfo *models.DataSource,
tsdbQuery *TsdbQuery,
transformToTimeSeries func(query *Query, rows *core.Rows, result *QueryResult, tsdbQuery *TsdbQuery) error,
transformToTable func(query *Query, rows *core.Rows, result *QueryResult, tsdbQuery *TsdbQuery) error,
) (*Response, error) {
result := &Response{
Results: make(map[string]*QueryResult),
}
session := e.XormEngine.NewSession()
defer session.Close()
db := session.DB()
for _, query := range tsdbQuery.Queries {
rawSql := query.Model.Get("rawSql").MustString()
if rawSql == "" {
continue
}
queryResult := &QueryResult{Meta: simplejson.New(), RefId: query.RefId}
result.Results[query.RefId] = queryResult
rawSql, err := e.MacroEngine.Interpolate(query, tsdbQuery.TimeRange, rawSql)
if err != nil {
queryResult.Error = err
continue
}
queryResult.Meta.Set("sql", rawSql)
rows, err := db.Query(rawSql)
if err != nil {
queryResult.Error = err
continue
}
defer rows.Close()
format := query.Model.Get("format").MustString("time_series")
switch format {
case "time_series":
err := transformToTimeSeries(query, rows, queryResult, tsdbQuery)
if err != nil {
queryResult.Error = err
continue
}
case "table":
err := transformToTable(query, rows, queryResult, tsdbQuery)
if err != nil {
queryResult.Error = err
continue
}
}
}
return result, nil
}
// ConvertSqlTimeColumnToEpochMs converts column named time to unix timestamp in milliseconds
// to make native datetime types and epoch dates work in annotation and table queries.
func ConvertSqlTimeColumnToEpochMs(values RowValues, timeIndex int) {
if timeIndex >= 0 {
switch value := values[timeIndex].(type) {
case time.Time:
values[timeIndex] = float64(value.UnixNano()) / float64(time.Millisecond)
case *time.Time:
if value != nil {
values[timeIndex] = float64((*value).UnixNano()) / float64(time.Millisecond)
}
case int64:
values[timeIndex] = int64(EpochPrecisionToMs(float64(value)))
case *int64:
if value != nil {
values[timeIndex] = int64(EpochPrecisionToMs(float64(*value)))
}
case uint64:
values[timeIndex] = int64(EpochPrecisionToMs(float64(value)))
case *uint64:
if value != nil {
values[timeIndex] = int64(EpochPrecisionToMs(float64(*value)))
}
case int32:
values[timeIndex] = int64(EpochPrecisionToMs(float64(value)))
case *int32:
if value != nil {
values[timeIndex] = int64(EpochPrecisionToMs(float64(*value)))
}
case uint32:
values[timeIndex] = int64(EpochPrecisionToMs(float64(value)))
case *uint32:
if value != nil {
values[timeIndex] = int64(EpochPrecisionToMs(float64(*value)))
}
case float64:
values[timeIndex] = EpochPrecisionToMs(value)
case *float64:
if value != nil {
values[timeIndex] = EpochPrecisionToMs(*value)
}
case float32:
values[timeIndex] = EpochPrecisionToMs(float64(value))
case *float32:
if value != nil {
values[timeIndex] = EpochPrecisionToMs(float64(*value))
}
}
}
}
// ConvertSqlValueColumnToFloat converts timeseries value column to float.
func ConvertSqlValueColumnToFloat(columnName string, columnValue interface{}) (null.Float, error) {
var value null.Float
switch typedValue := columnValue.(type) {
case int:
value = null.FloatFrom(float64(typedValue))
case *int:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case int64:
value = null.FloatFrom(float64(typedValue))
case *int64:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case int32:
value = null.FloatFrom(float64(typedValue))
case *int32:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case int16:
value = null.FloatFrom(float64(typedValue))
case *int16:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case int8:
value = null.FloatFrom(float64(typedValue))
case *int8:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case uint:
value = null.FloatFrom(float64(typedValue))
case *uint:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case uint64:
value = null.FloatFrom(float64(typedValue))
case *uint64:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case uint32:
value = null.FloatFrom(float64(typedValue))
case *uint32:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case uint16:
value = null.FloatFrom(float64(typedValue))
case *uint16:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case uint8:
value = null.FloatFrom(float64(typedValue))
case *uint8:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case float64:
value = null.FloatFrom(typedValue)
case *float64:
value = null.FloatFromPtr(typedValue)
case float32:
value = null.FloatFrom(float64(typedValue))
case *float32:
if typedValue == nil {
value.Valid = false
} else {
value = null.FloatFrom(float64(*typedValue))
}
case nil:
value.Valid = false
default:
return null.NewFloat(0, false), fmt.Errorf("Value column must have numeric datatype, column: %s type: %T value: %v", columnName, typedValue, typedValue)
}
return value, nil
}