mirror of https://github.com/grafana/grafana.git
550 lines
14 KiB
Go
550 lines
14 KiB
Go
package tsdb
|
|
|
|
import (
|
|
"container/list"
|
|
"context"
|
|
"database/sql"
|
|
"fmt"
|
|
"math"
|
|
"strings"
|
|
"sync"
|
|
"time"
|
|
|
|
"github.com/grafana/grafana/pkg/log"
|
|
|
|
"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"
|
|
)
|
|
|
|
// 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)
|
|
}
|
|
|
|
// SqlTableRowTransformer transforms a query result row to RowValues with proper types.
|
|
type SqlTableRowTransformer interface {
|
|
Transform(columnTypes []*sql.ColumnType, rows *core.Rows) (RowValues, error)
|
|
}
|
|
|
|
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),
|
|
}
|
|
|
|
var NewXormEngine = func(driverName string, connectionString string) (*xorm.Engine, error) {
|
|
return xorm.NewEngine(driverName, connectionString)
|
|
}
|
|
|
|
type sqlQueryEndpoint struct {
|
|
macroEngine SqlMacroEngine
|
|
rowTransformer SqlTableRowTransformer
|
|
engine *xorm.Engine
|
|
timeColumnNames []string
|
|
metricColumnTypes []string
|
|
log log.Logger
|
|
}
|
|
|
|
type SqlQueryEndpointConfiguration struct {
|
|
DriverName string
|
|
Datasource *models.DataSource
|
|
ConnectionString string
|
|
TimeColumnNames []string
|
|
MetricColumnTypes []string
|
|
}
|
|
|
|
var NewSqlQueryEndpoint = func(config *SqlQueryEndpointConfiguration, rowTransformer SqlTableRowTransformer, macroEngine SqlMacroEngine, log log.Logger) (TsdbQueryEndpoint, error) {
|
|
queryEndpoint := sqlQueryEndpoint{
|
|
rowTransformer: rowTransformer,
|
|
macroEngine: macroEngine,
|
|
timeColumnNames: []string{"time"},
|
|
log: log,
|
|
}
|
|
|
|
if len(config.TimeColumnNames) > 0 {
|
|
queryEndpoint.timeColumnNames = config.TimeColumnNames
|
|
}
|
|
|
|
if len(config.MetricColumnTypes) > 0 {
|
|
queryEndpoint.metricColumnTypes = config.MetricColumnTypes
|
|
}
|
|
|
|
engineCache.Lock()
|
|
defer engineCache.Unlock()
|
|
|
|
if engine, present := engineCache.cache[config.Datasource.Id]; present {
|
|
if version := engineCache.versions[config.Datasource.Id]; version == config.Datasource.Version {
|
|
queryEndpoint.engine = engine
|
|
return &queryEndpoint, nil
|
|
}
|
|
}
|
|
|
|
engine, err := NewXormEngine(config.DriverName, config.ConnectionString)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
engine.SetMaxOpenConns(10)
|
|
engine.SetMaxIdleConns(10)
|
|
|
|
engineCache.versions[config.Datasource.Id] = config.Datasource.Version
|
|
engineCache.cache[config.Datasource.Id] = engine
|
|
queryEndpoint.engine = engine
|
|
|
|
return &queryEndpoint, nil
|
|
}
|
|
|
|
const rowLimit = 1000000
|
|
|
|
// Query is the main function for the SqlQueryEndpoint
|
|
func (e *sqlQueryEndpoint) Query(ctx context.Context, dsInfo *models.DataSource, tsdbQuery *TsdbQuery) (*Response, error) {
|
|
result := &Response{
|
|
Results: make(map[string]*QueryResult),
|
|
}
|
|
|
|
session := e.engine.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 := e.transformToTimeSeries(query, rows, queryResult, tsdbQuery)
|
|
if err != nil {
|
|
queryResult.Error = err
|
|
continue
|
|
}
|
|
case "table":
|
|
err := e.transformToTable(query, rows, queryResult, tsdbQuery)
|
|
if err != nil {
|
|
queryResult.Error = err
|
|
continue
|
|
}
|
|
}
|
|
}
|
|
|
|
return result, nil
|
|
}
|
|
|
|
func (e *sqlQueryEndpoint) transformToTable(query *Query, rows *core.Rows, result *QueryResult, tsdbQuery *TsdbQuery) error {
|
|
columnNames, err := rows.Columns()
|
|
columnCount := len(columnNames)
|
|
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
rowCount := 0
|
|
timeIndex := -1
|
|
|
|
table := &Table{
|
|
Columns: make([]TableColumn, columnCount),
|
|
Rows: make([]RowValues, 0),
|
|
}
|
|
|
|
for i, name := range columnNames {
|
|
table.Columns[i].Text = name
|
|
|
|
for _, tc := range e.timeColumnNames {
|
|
if name == tc {
|
|
timeIndex = i
|
|
break
|
|
}
|
|
}
|
|
}
|
|
|
|
columnTypes, err := rows.ColumnTypes()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
for ; rows.Next(); rowCount++ {
|
|
if rowCount > rowLimit {
|
|
return fmt.Errorf("query row limit exceeded, limit %d", rowLimit)
|
|
}
|
|
|
|
values, err := e.rowTransformer.Transform(columnTypes, rows)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// converts column named time to unix timestamp in milliseconds
|
|
// to make native mssql datetime types and epoch dates work in
|
|
// annotation and table queries.
|
|
ConvertSqlTimeColumnToEpochMs(values, timeIndex)
|
|
table.Rows = append(table.Rows, values)
|
|
}
|
|
|
|
result.Tables = append(result.Tables, table)
|
|
result.Meta.Set("rowCount", rowCount)
|
|
return nil
|
|
}
|
|
|
|
func (e *sqlQueryEndpoint) transformToTimeSeries(query *Query, rows *core.Rows, result *QueryResult, tsdbQuery *TsdbQuery) error {
|
|
pointsBySeries := make(map[string]*TimeSeries)
|
|
seriesByQueryOrder := list.New()
|
|
|
|
columnNames, err := rows.Columns()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
columnTypes, err := rows.ColumnTypes()
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
rowCount := 0
|
|
timeIndex := -1
|
|
metricIndex := -1
|
|
metricPrefix := false
|
|
var metricPrefixValue string
|
|
|
|
// check columns of resultset: a column named time is mandatory
|
|
// the first text column is treated as metric name unless a column named metric is present
|
|
for i, col := range columnNames {
|
|
for _, tc := range e.timeColumnNames {
|
|
if col == tc {
|
|
timeIndex = i
|
|
continue
|
|
}
|
|
}
|
|
switch col {
|
|
case "metric":
|
|
metricIndex = i
|
|
default:
|
|
if metricIndex == -1 {
|
|
columnType := columnTypes[i].DatabaseTypeName()
|
|
|
|
for _, mct := range e.metricColumnTypes {
|
|
e.log.Info(mct)
|
|
if columnType == mct {
|
|
metricIndex = i
|
|
continue
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// use metric column as prefix with multiple value columns
|
|
if metricIndex != -1 && len(columnNames) > 3 {
|
|
metricPrefix = true
|
|
}
|
|
|
|
if timeIndex == -1 {
|
|
return fmt.Errorf("Found no column named %s", strings.Join(e.timeColumnNames, " or "))
|
|
}
|
|
|
|
fillMissing := query.Model.Get("fill").MustBool(false)
|
|
var fillInterval float64
|
|
fillValue := null.Float{}
|
|
if fillMissing {
|
|
fillInterval = query.Model.Get("fillInterval").MustFloat64() * 1000
|
|
if !query.Model.Get("fillNull").MustBool(false) {
|
|
fillValue.Float64 = query.Model.Get("fillValue").MustFloat64()
|
|
fillValue.Valid = true
|
|
}
|
|
}
|
|
|
|
for rows.Next() {
|
|
var timestamp float64
|
|
var value null.Float
|
|
var metric string
|
|
|
|
if rowCount > rowLimit {
|
|
return fmt.Errorf("query row limit exceeded, limit %d", rowLimit)
|
|
}
|
|
|
|
values, err := e.rowTransformer.Transform(columnTypes, rows)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// converts column named time to unix timestamp in milliseconds to make
|
|
// native mysql datetime types and epoch dates work in
|
|
// annotation and table queries.
|
|
ConvertSqlTimeColumnToEpochMs(values, timeIndex)
|
|
|
|
switch columnValue := values[timeIndex].(type) {
|
|
case int64:
|
|
timestamp = float64(columnValue)
|
|
case float64:
|
|
timestamp = columnValue
|
|
default:
|
|
return fmt.Errorf("Invalid type for column time, must be of type timestamp or unix timestamp, got: %T %v", columnValue, columnValue)
|
|
}
|
|
|
|
if metricIndex >= 0 {
|
|
if columnValue, ok := values[metricIndex].(string); ok {
|
|
if metricPrefix {
|
|
metricPrefixValue = columnValue
|
|
} else {
|
|
metric = columnValue
|
|
}
|
|
} else {
|
|
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])
|
|
}
|
|
}
|
|
|
|
for i, col := range columnNames {
|
|
if i == timeIndex || i == metricIndex {
|
|
continue
|
|
}
|
|
|
|
if value, err = ConvertSqlValueColumnToFloat(col, values[i]); err != nil {
|
|
return err
|
|
}
|
|
|
|
if metricIndex == -1 {
|
|
metric = col
|
|
} else if metricPrefix {
|
|
metric = metricPrefixValue + " " + col
|
|
}
|
|
|
|
series, exist := pointsBySeries[metric]
|
|
if !exist {
|
|
series = &TimeSeries{Name: metric}
|
|
pointsBySeries[metric] = series
|
|
seriesByQueryOrder.PushBack(metric)
|
|
}
|
|
|
|
if fillMissing {
|
|
var intervalStart float64
|
|
if !exist {
|
|
intervalStart = float64(tsdbQuery.TimeRange.MustGetFrom().UnixNano() / 1e6)
|
|
} else {
|
|
intervalStart = series.Points[len(series.Points)-1][1].Float64 + fillInterval
|
|
}
|
|
|
|
// align interval start
|
|
intervalStart = math.Floor(intervalStart/fillInterval) * fillInterval
|
|
|
|
for i := intervalStart; i < timestamp; i += fillInterval {
|
|
series.Points = append(series.Points, TimePoint{fillValue, null.FloatFrom(i)})
|
|
rowCount++
|
|
}
|
|
}
|
|
|
|
series.Points = append(series.Points, TimePoint{value, null.FloatFrom(timestamp)})
|
|
|
|
e.log.Debug("Rows", "metric", metric, "time", timestamp, "value", value)
|
|
}
|
|
}
|
|
|
|
for elem := seriesByQueryOrder.Front(); elem != nil; elem = elem.Next() {
|
|
key := elem.Value.(string)
|
|
result.Series = append(result.Series, pointsBySeries[key])
|
|
|
|
if fillMissing {
|
|
series := pointsBySeries[key]
|
|
// fill in values from last fetched value till interval end
|
|
intervalStart := series.Points[len(series.Points)-1][1].Float64
|
|
intervalEnd := float64(tsdbQuery.TimeRange.MustGetTo().UnixNano() / 1e6)
|
|
|
|
// align interval start
|
|
intervalStart = math.Floor(intervalStart/fillInterval) * fillInterval
|
|
for i := intervalStart + fillInterval; i < intervalEnd; i += fillInterval {
|
|
series.Points = append(series.Points, TimePoint{fillValue, null.FloatFrom(i)})
|
|
rowCount++
|
|
}
|
|
}
|
|
}
|
|
|
|
result.Meta.Set("rowCount", rowCount)
|
|
return 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
|
|
}
|