mirror of
https://github.com/grafana/grafana.git
synced 2024-11-29 12:14:08 -06:00
654 lines
17 KiB
Go
654 lines
17 KiB
Go
package tsdb
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import (
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"container/list"
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"context"
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"database/sql"
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"fmt"
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"math"
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"regexp"
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"strconv"
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"strings"
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"sync"
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"time"
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"github.com/grafana/grafana/pkg/infra/log"
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"github.com/grafana/grafana/pkg/components/null"
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"github.com/go-xorm/core"
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"github.com/go-xorm/xorm"
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"github.com/grafana/grafana/pkg/components/simplejson"
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"github.com/grafana/grafana/pkg/models"
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)
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// SqlMacroEngine interpolates macros into sql. It takes in the Query to have access to query context and
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// timeRange to be able to generate queries that use from and to.
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type SqlMacroEngine interface {
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Interpolate(query *Query, timeRange *TimeRange, sql string) (string, error)
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}
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// SqlTableRowTransformer transforms a query result row to RowValues with proper types.
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type SqlTableRowTransformer interface {
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Transform(columnTypes []*sql.ColumnType, rows *core.Rows) (RowValues, error)
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}
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type engineCacheType struct {
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cache map[int64]*xorm.Engine
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versions map[int64]int
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sync.Mutex
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}
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var engineCache = engineCacheType{
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cache: make(map[int64]*xorm.Engine),
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versions: make(map[int64]int),
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}
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var sqlIntervalCalculator = NewIntervalCalculator(nil)
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var NewXormEngine = func(driverName string, connectionString string) (*xorm.Engine, error) {
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return xorm.NewEngine(driverName, connectionString)
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}
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type sqlQueryEndpoint struct {
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macroEngine SqlMacroEngine
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rowTransformer SqlTableRowTransformer
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engine *xorm.Engine
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timeColumnNames []string
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metricColumnTypes []string
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log log.Logger
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}
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type SqlQueryEndpointConfiguration struct {
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DriverName string
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Datasource *models.DataSource
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ConnectionString string
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TimeColumnNames []string
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MetricColumnTypes []string
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}
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var NewSqlQueryEndpoint = func(config *SqlQueryEndpointConfiguration, rowTransformer SqlTableRowTransformer, macroEngine SqlMacroEngine, log log.Logger) (TsdbQueryEndpoint, error) {
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queryEndpoint := sqlQueryEndpoint{
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rowTransformer: rowTransformer,
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macroEngine: macroEngine,
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timeColumnNames: []string{"time"},
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log: log,
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}
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if len(config.TimeColumnNames) > 0 {
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queryEndpoint.timeColumnNames = config.TimeColumnNames
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}
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if len(config.MetricColumnTypes) > 0 {
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queryEndpoint.metricColumnTypes = config.MetricColumnTypes
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}
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engineCache.Lock()
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defer engineCache.Unlock()
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if engine, present := engineCache.cache[config.Datasource.Id]; present {
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if version := engineCache.versions[config.Datasource.Id]; version == config.Datasource.Version {
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queryEndpoint.engine = engine
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return &queryEndpoint, nil
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}
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}
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engine, err := NewXormEngine(config.DriverName, config.ConnectionString)
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if err != nil {
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return nil, err
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}
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maxOpenConns := config.Datasource.JsonData.Get("maxOpenConns").MustInt(0)
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engine.SetMaxOpenConns(maxOpenConns)
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maxIdleConns := config.Datasource.JsonData.Get("maxIdleConns").MustInt(2)
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engine.SetMaxIdleConns(maxIdleConns)
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connMaxLifetime := config.Datasource.JsonData.Get("connMaxLifetime").MustInt(14400)
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engine.SetConnMaxLifetime(time.Duration(connMaxLifetime) * time.Second)
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engineCache.versions[config.Datasource.Id] = config.Datasource.Version
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engineCache.cache[config.Datasource.Id] = engine
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queryEndpoint.engine = engine
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return &queryEndpoint, nil
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}
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const rowLimit = 1000000
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// Query is the main function for the SqlQueryEndpoint
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func (e *sqlQueryEndpoint) Query(ctx context.Context, dsInfo *models.DataSource, tsdbQuery *TsdbQuery) (*Response, error) {
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result := &Response{
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Results: make(map[string]*QueryResult),
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}
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var wg sync.WaitGroup
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for _, query := range tsdbQuery.Queries {
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rawSQL := query.Model.Get("rawSql").MustString()
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if rawSQL == "" {
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continue
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}
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queryResult := &QueryResult{Meta: simplejson.New(), RefId: query.RefId}
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result.Results[query.RefId] = queryResult
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// global substitutions
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rawSQL, err := Interpolate(query, tsdbQuery.TimeRange, rawSQL)
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if err != nil {
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queryResult.Error = err
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continue
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}
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// datasource specific substitutions
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rawSQL, err = e.macroEngine.Interpolate(query, tsdbQuery.TimeRange, rawSQL)
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if err != nil {
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queryResult.Error = err
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continue
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}
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queryResult.Meta.Set("sql", rawSQL)
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wg.Add(1)
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go func(rawSQL string, query *Query, queryResult *QueryResult) {
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defer wg.Done()
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session := e.engine.NewSession()
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defer session.Close()
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db := session.DB()
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rows, err := db.Query(rawSQL)
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if err != nil {
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queryResult.Error = err
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return
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}
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defer rows.Close()
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format := query.Model.Get("format").MustString("time_series")
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switch format {
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case "time_series":
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err := e.transformToTimeSeries(query, rows, queryResult, tsdbQuery)
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if err != nil {
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queryResult.Error = err
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return
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}
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case "table":
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err := e.transformToTable(query, rows, queryResult, tsdbQuery)
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if err != nil {
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queryResult.Error = err
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return
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}
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}
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}(rawSQL, query, queryResult)
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}
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wg.Wait()
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return result, nil
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}
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// global macros/substitutions for all sql datasources
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var Interpolate = func(query *Query, timeRange *TimeRange, sql string) (string, error) {
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minInterval, err := GetIntervalFrom(query.DataSource, query.Model, time.Second*60)
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if err != nil {
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return sql, nil
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}
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interval := sqlIntervalCalculator.Calculate(timeRange, minInterval)
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sql = strings.Replace(sql, "$__interval_ms", strconv.FormatInt(interval.Milliseconds(), 10), -1)
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sql = strings.Replace(sql, "$__interval", interval.Text, -1)
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sql = strings.Replace(sql, "$__unixEpochFrom()", fmt.Sprintf("%d", timeRange.GetFromAsSecondsEpoch()), -1)
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sql = strings.Replace(sql, "$__unixEpochTo()", fmt.Sprintf("%d", timeRange.GetToAsSecondsEpoch()), -1)
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return sql, nil
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}
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func (e *sqlQueryEndpoint) transformToTable(query *Query, rows *core.Rows, result *QueryResult, tsdbQuery *TsdbQuery) error {
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columnNames, err := rows.Columns()
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columnCount := len(columnNames)
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if err != nil {
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return err
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}
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rowCount := 0
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timeIndex := -1
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table := &Table{
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Columns: make([]TableColumn, columnCount),
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Rows: make([]RowValues, 0),
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}
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for i, name := range columnNames {
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table.Columns[i].Text = name
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for _, tc := range e.timeColumnNames {
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if name == tc {
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timeIndex = i
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break
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}
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}
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}
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columnTypes, err := rows.ColumnTypes()
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if err != nil {
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return err
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}
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for ; rows.Next(); rowCount++ {
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if rowCount > rowLimit {
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return fmt.Errorf("query row limit exceeded, limit %d", rowLimit)
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}
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values, err := e.rowTransformer.Transform(columnTypes, rows)
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if err != nil {
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return err
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}
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// converts column named time to unix timestamp in milliseconds
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// to make native mssql datetime types and epoch dates work in
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// annotation and table queries.
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ConvertSqlTimeColumnToEpochMs(values, timeIndex)
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table.Rows = append(table.Rows, values)
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}
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result.Tables = append(result.Tables, table)
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result.Meta.Set("rowCount", rowCount)
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return nil
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}
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func (e *sqlQueryEndpoint) transformToTimeSeries(query *Query, rows *core.Rows, result *QueryResult, tsdbQuery *TsdbQuery) error {
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pointsBySeries := make(map[string]*TimeSeries)
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seriesByQueryOrder := list.New()
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columnNames, err := rows.Columns()
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if err != nil {
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return err
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}
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columnTypes, err := rows.ColumnTypes()
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if err != nil {
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return err
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}
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rowCount := 0
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timeIndex := -1
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metricIndex := -1
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metricPrefix := false
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var metricPrefixValue string
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// check columns of resultset: a column named time is mandatory
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// the first text column is treated as metric name unless a column named metric is present
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for i, col := range columnNames {
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for _, tc := range e.timeColumnNames {
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if col == tc {
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timeIndex = i
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continue
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}
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}
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switch col {
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case "metric":
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metricIndex = i
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default:
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if metricIndex == -1 {
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columnType := columnTypes[i].DatabaseTypeName()
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for _, mct := range e.metricColumnTypes {
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if columnType == mct {
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metricIndex = i
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continue
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}
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}
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}
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}
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}
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// use metric column as prefix with multiple value columns
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if metricIndex != -1 && len(columnNames) > 3 {
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metricPrefix = true
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}
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if timeIndex == -1 {
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return fmt.Errorf("Found no column named %s", strings.Join(e.timeColumnNames, " or "))
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}
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fillMissing := query.Model.Get("fill").MustBool(false)
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var fillInterval float64
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fillValue := null.Float{}
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fillPrevious := false
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if fillMissing {
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fillInterval = query.Model.Get("fillInterval").MustFloat64() * 1000
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switch query.Model.Get("fillMode").MustString() {
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case "null":
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case "previous":
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fillPrevious = true
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case "value":
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fillValue.Float64 = query.Model.Get("fillValue").MustFloat64()
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fillValue.Valid = true
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}
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}
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for rows.Next() {
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var timestamp float64
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var value null.Float
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var metric string
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if rowCount > rowLimit {
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return fmt.Errorf("query row limit exceeded, limit %d", rowLimit)
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}
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values, err := e.rowTransformer.Transform(columnTypes, rows)
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if err != nil {
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return err
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}
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// converts column named time to unix timestamp in milliseconds to make
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// native mysql datetime types and epoch dates work in
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// annotation and table queries.
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ConvertSqlTimeColumnToEpochMs(values, timeIndex)
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switch columnValue := values[timeIndex].(type) {
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case int64:
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timestamp = float64(columnValue)
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case float64:
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timestamp = columnValue
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default:
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return fmt.Errorf("Invalid type for column time, must be of type timestamp or unix timestamp, got: %T %v", columnValue, columnValue)
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}
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if metricIndex >= 0 {
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if columnValue, ok := values[metricIndex].(string); ok {
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if metricPrefix {
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metricPrefixValue = columnValue
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} else {
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metric = columnValue
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}
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} else {
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return fmt.Errorf("Column metric must be of type %s. metric column name: %s type: %s but datatype is %T", strings.Join(e.metricColumnTypes, ", "), columnNames[metricIndex], columnTypes[metricIndex].DatabaseTypeName(), values[metricIndex])
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}
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}
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for i, col := range columnNames {
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if i == timeIndex || i == metricIndex {
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continue
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}
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if value, err = ConvertSqlValueColumnToFloat(col, values[i]); err != nil {
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return err
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}
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if metricIndex == -1 {
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metric = col
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} else if metricPrefix {
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metric = metricPrefixValue + " " + col
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}
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series, exist := pointsBySeries[metric]
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if !exist {
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series = &TimeSeries{Name: metric}
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pointsBySeries[metric] = series
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seriesByQueryOrder.PushBack(metric)
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}
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if fillMissing {
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var intervalStart float64
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if !exist {
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intervalStart = float64(tsdbQuery.TimeRange.MustGetFrom().UnixNano() / 1e6)
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} else {
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intervalStart = series.Points[len(series.Points)-1][1].Float64 + fillInterval
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}
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if fillPrevious {
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if len(series.Points) > 0 {
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fillValue = series.Points[len(series.Points)-1][0]
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} else {
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fillValue.Valid = false
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}
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}
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// align interval start
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intervalStart = math.Floor(intervalStart/fillInterval) * fillInterval
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for i := intervalStart; i < timestamp; i += fillInterval {
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series.Points = append(series.Points, TimePoint{fillValue, null.FloatFrom(i)})
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rowCount++
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}
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}
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series.Points = append(series.Points, TimePoint{value, null.FloatFrom(timestamp)})
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e.log.Debug("Rows", "metric", metric, "time", timestamp, "value", value)
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}
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}
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for elem := seriesByQueryOrder.Front(); elem != nil; elem = elem.Next() {
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key := elem.Value.(string)
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result.Series = append(result.Series, pointsBySeries[key])
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if fillMissing {
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series := pointsBySeries[key]
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// fill in values from last fetched value till interval end
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intervalStart := series.Points[len(series.Points)-1][1].Float64
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intervalEnd := float64(tsdbQuery.TimeRange.MustGetTo().UnixNano() / 1e6)
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if fillPrevious {
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if len(series.Points) > 0 {
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fillValue = series.Points[len(series.Points)-1][0]
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} else {
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fillValue.Valid = false
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}
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}
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// align interval start
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intervalStart = math.Floor(intervalStart/fillInterval) * fillInterval
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for i := intervalStart + fillInterval; i < intervalEnd; i += fillInterval {
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series.Points = append(series.Points, TimePoint{fillValue, null.FloatFrom(i)})
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rowCount++
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}
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}
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}
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result.Meta.Set("rowCount", rowCount)
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return nil
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}
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// ConvertSqlTimeColumnToEpochMs converts column named time to unix timestamp in milliseconds
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// to make native datetime types and epoch dates work in annotation and table queries.
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func ConvertSqlTimeColumnToEpochMs(values RowValues, timeIndex int) {
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if timeIndex >= 0 {
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switch value := values[timeIndex].(type) {
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case time.Time:
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values[timeIndex] = float64(value.UnixNano()) / float64(time.Millisecond)
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case *time.Time:
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if value != nil {
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values[timeIndex] = float64((*value).UnixNano()) / float64(time.Millisecond)
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}
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case int64:
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values[timeIndex] = int64(EpochPrecisionToMs(float64(value)))
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case *int64:
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if value != nil {
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values[timeIndex] = int64(EpochPrecisionToMs(float64(*value)))
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}
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case uint64:
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values[timeIndex] = int64(EpochPrecisionToMs(float64(value)))
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case *uint64:
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if value != nil {
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values[timeIndex] = int64(EpochPrecisionToMs(float64(*value)))
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}
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case int32:
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values[timeIndex] = int64(EpochPrecisionToMs(float64(value)))
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case *int32:
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if value != nil {
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values[timeIndex] = int64(EpochPrecisionToMs(float64(*value)))
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}
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case uint32:
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values[timeIndex] = int64(EpochPrecisionToMs(float64(value)))
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case *uint32:
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if value != nil {
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values[timeIndex] = int64(EpochPrecisionToMs(float64(*value)))
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}
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case float64:
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values[timeIndex] = EpochPrecisionToMs(value)
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case *float64:
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if value != nil {
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values[timeIndex] = EpochPrecisionToMs(*value)
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}
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case float32:
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values[timeIndex] = EpochPrecisionToMs(float64(value))
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case *float32:
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if value != nil {
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values[timeIndex] = EpochPrecisionToMs(float64(*value))
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}
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}
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}
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}
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// ConvertSqlValueColumnToFloat converts timeseries value column to float.
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func ConvertSqlValueColumnToFloat(columnName string, columnValue interface{}) (null.Float, error) {
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var value null.Float
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switch typedValue := columnValue.(type) {
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case int:
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value = null.FloatFrom(float64(typedValue))
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case *int:
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if typedValue == nil {
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value.Valid = false
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} else {
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value = null.FloatFrom(float64(*typedValue))
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}
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case int64:
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value = null.FloatFrom(float64(typedValue))
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case *int64:
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if typedValue == nil {
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value.Valid = false
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} else {
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value = null.FloatFrom(float64(*typedValue))
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}
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case int32:
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value = null.FloatFrom(float64(typedValue))
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case *int32:
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if typedValue == nil {
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value.Valid = false
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} else {
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value = null.FloatFrom(float64(*typedValue))
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}
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case int16:
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value = null.FloatFrom(float64(typedValue))
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case *int16:
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if typedValue == nil {
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value.Valid = false
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} else {
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value = null.FloatFrom(float64(*typedValue))
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}
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case int8:
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value = null.FloatFrom(float64(typedValue))
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case *int8:
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if typedValue == nil {
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value.Valid = false
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} else {
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value = null.FloatFrom(float64(*typedValue))
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}
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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
|
|
}
|
|
|
|
func SetupFillmode(query *Query, interval time.Duration, fillmode string) error {
|
|
query.Model.Set("fill", true)
|
|
query.Model.Set("fillInterval", interval.Seconds())
|
|
switch fillmode {
|
|
case "NULL":
|
|
query.Model.Set("fillMode", "null")
|
|
case "previous":
|
|
query.Model.Set("fillMode", "previous")
|
|
default:
|
|
query.Model.Set("fillMode", "value")
|
|
floatVal, err := strconv.ParseFloat(fillmode, 64)
|
|
if err != nil {
|
|
return fmt.Errorf("error parsing fill value %v", fillmode)
|
|
}
|
|
query.Model.Set("fillValue", floatVal)
|
|
}
|
|
|
|
return nil
|
|
}
|
|
|
|
type SqlMacroEngineBase struct{}
|
|
|
|
func NewSqlMacroEngineBase() *SqlMacroEngineBase {
|
|
return &SqlMacroEngineBase{}
|
|
}
|
|
|
|
func (m *SqlMacroEngineBase) ReplaceAllStringSubmatchFunc(re *regexp.Regexp, str string, repl func([]string) string) string {
|
|
result := ""
|
|
lastIndex := 0
|
|
|
|
for _, v := range re.FindAllSubmatchIndex([]byte(str), -1) {
|
|
groups := []string{}
|
|
for i := 0; i < len(v); i += 2 {
|
|
groups = append(groups, str[v[i]:v[i+1]])
|
|
}
|
|
|
|
result += str[lastIndex:v[0]] + repl(groups)
|
|
lastIndex = v[1]
|
|
}
|
|
|
|
return result + str[lastIndex:]
|
|
}
|