grafana/pkg/tsdb/sqleng/sql_engine.go
Yuriy Tseretyan d9c40ca41e
Chore: Update sqleng, elasticsearch, tempo and opentsdb plugins to support contextual logs. (#57777)
* make sql engine use pick log context for logs
* update tempo to get log context
* update opentsdb to use log context
* update es client to use log context
2022-11-02 10:03:50 -04:00

1027 lines
30 KiB
Go

package sqleng
import (
"context"
"database/sql"
"encoding/json"
"errors"
"fmt"
"net"
"regexp"
"strconv"
"strings"
"sync"
"time"
"github.com/grafana/grafana-plugin-sdk-go/backend"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana-plugin-sdk-go/data/sqlutil"
"xorm.io/core"
"xorm.io/xorm"
"github.com/grafana/grafana/pkg/infra/log"
"github.com/grafana/grafana/pkg/tsdb/intervalv2"
)
// MetaKeyExecutedQueryString is the key where the executed query should get stored
const MetaKeyExecutedQueryString = "executedQueryString"
var ErrConnectionFailed = errors.New("failed to connect to server - please inspect Grafana server log for details")
// 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 *backend.DataQuery, timeRange backend.TimeRange, sql string) (string, error)
}
// SqlQueryResultTransformer transforms a query result row to RowValues with proper types.
type SqlQueryResultTransformer interface {
// TransformQueryError transforms a query error.
TransformQueryError(logger log.Logger, err error) error
GetConverterList() []sqlutil.StringConverter
}
var sqlIntervalCalculator = intervalv2.NewCalculator()
// NewXormEngine is an xorm.Engine factory, that can be stubbed by tests.
//
//nolint:gocritic
var NewXormEngine = func(driverName string, connectionString string) (*xorm.Engine, error) {
return xorm.NewEngine(driverName, connectionString)
}
type JsonData struct {
MaxOpenConns int `json:"maxOpenConns"`
MaxIdleConns int `json:"maxIdleConns"`
ConnMaxLifetime int `json:"connMaxLifetime"`
Timescaledb bool `json:"timescaledb"`
Mode string `json:"sslmode"`
ConfigurationMethod string `json:"tlsConfigurationMethod"`
TlsSkipVerify bool `json:"tlsSkipVerify"`
RootCertFile string `json:"sslRootCertFile"`
CertFile string `json:"sslCertFile"`
CertKeyFile string `json:"sslKeyFile"`
Timezone string `json:"timezone"`
Encrypt string `json:"encrypt"`
Servername string `json:"servername"`
TimeInterval string `json:"timeInterval"`
}
type DataSourceInfo struct {
JsonData JsonData
URL string
User string
Database string
ID int64
Updated time.Time
UID string
DecryptedSecureJSONData map[string]string
}
type DataPluginConfiguration struct {
DriverName string
DSInfo DataSourceInfo
ConnectionString string
TimeColumnNames []string
MetricColumnTypes []string
RowLimit int64
}
type DataSourceHandler struct {
macroEngine SQLMacroEngine
queryResultTransformer SqlQueryResultTransformer
engine *xorm.Engine
timeColumnNames []string
metricColumnTypes []string
log log.Logger
dsInfo DataSourceInfo
rowLimit int64
}
type QueryJson struct {
RawSql string `json:"rawSql"`
Fill bool `json:"fill"`
FillInterval float64 `json:"fillInterval"`
FillMode string `json:"fillMode"`
FillValue float64 `json:"fillValue"`
Format string `json:"format"`
}
func (e *DataSourceHandler) transformQueryError(logger log.Logger, err error) error {
// OpError is the error type usually returned by functions in the net
// package. It describes the operation, network type, and address of
// an error. We log this error rather than return it to the client
// for security purposes.
var opErr *net.OpError
if errors.As(err, &opErr) {
logger.Error("Query error", "err", err)
return ErrConnectionFailed
}
return e.queryResultTransformer.TransformQueryError(logger, err)
}
func NewQueryDataHandler(config DataPluginConfiguration, queryResultTransformer SqlQueryResultTransformer,
macroEngine SQLMacroEngine, log log.Logger) (*DataSourceHandler, error) {
log.Debug("Creating engine...")
defer func() {
log.Debug("Engine created")
}()
queryDataHandler := DataSourceHandler{
queryResultTransformer: queryResultTransformer,
macroEngine: macroEngine,
timeColumnNames: []string{"time"},
log: log,
dsInfo: config.DSInfo,
rowLimit: config.RowLimit,
}
if len(config.TimeColumnNames) > 0 {
queryDataHandler.timeColumnNames = config.TimeColumnNames
}
if len(config.MetricColumnTypes) > 0 {
queryDataHandler.metricColumnTypes = config.MetricColumnTypes
}
engine, err := NewXormEngine(config.DriverName, config.ConnectionString)
if err != nil {
return nil, err
}
engine.SetMaxOpenConns(config.DSInfo.JsonData.MaxOpenConns)
engine.SetMaxIdleConns(config.DSInfo.JsonData.MaxIdleConns)
engine.SetConnMaxLifetime(time.Duration(config.DSInfo.JsonData.ConnMaxLifetime) * time.Second)
queryDataHandler.engine = engine
return &queryDataHandler, nil
}
type DBDataResponse struct {
dataResponse backend.DataResponse
refID string
}
func (e *DataSourceHandler) Dispose() {
e.log.Debug("Disposing engine...")
if e.engine != nil {
if err := e.engine.Close(); err != nil {
e.log.Error("Failed to dispose engine", "error", err)
}
}
e.log.Debug("Engine disposed")
}
func (e *DataSourceHandler) QueryData(ctx context.Context, req *backend.QueryDataRequest) (*backend.QueryDataResponse, error) {
result := backend.NewQueryDataResponse()
ch := make(chan DBDataResponse, len(req.Queries))
var wg sync.WaitGroup
// Execute each query in a goroutine and wait for them to finish afterwards
for _, query := range req.Queries {
queryjson := QueryJson{
Fill: false,
Format: "time_series",
}
err := json.Unmarshal(query.JSON, &queryjson)
if err != nil {
return nil, fmt.Errorf("error unmarshal query json: %w", err)
}
if queryjson.RawSql == "" {
continue
}
wg.Add(1)
go e.executeQuery(query, &wg, ctx, ch, queryjson)
}
wg.Wait()
// Read results from channels
close(ch)
result.Responses = make(map[string]backend.DataResponse)
for queryResult := range ch {
result.Responses[queryResult.refID] = queryResult.dataResponse
}
return result, nil
}
func (e *DataSourceHandler) executeQuery(query backend.DataQuery, wg *sync.WaitGroup, queryContext context.Context,
ch chan DBDataResponse, queryJson QueryJson) {
defer wg.Done()
queryResult := DBDataResponse{
dataResponse: backend.DataResponse{},
refID: query.RefID,
}
logger := e.log.FromContext(queryContext)
defer func() {
if r := recover(); r != nil {
logger.Error("ExecuteQuery panic", "error", r, "stack", log.Stack(1))
if theErr, ok := r.(error); ok {
queryResult.dataResponse.Error = theErr
} else if theErrString, ok := r.(string); ok {
queryResult.dataResponse.Error = fmt.Errorf(theErrString)
} else {
queryResult.dataResponse.Error = fmt.Errorf("unexpected error, see the server log for details")
}
ch <- queryResult
}
}()
if queryJson.RawSql == "" {
panic("Query model property rawSql should not be empty at this point")
}
timeRange := query.TimeRange
errAppendDebug := func(frameErr string, err error, query string) {
var emptyFrame data.Frame
emptyFrame.SetMeta(&data.FrameMeta{
ExecutedQueryString: query,
})
queryResult.dataResponse.Error = fmt.Errorf("%s: %w", frameErr, err)
queryResult.dataResponse.Frames = data.Frames{&emptyFrame}
ch <- queryResult
}
// global substitutions
interpolatedQuery, err := Interpolate(query, timeRange, e.dsInfo.JsonData.TimeInterval, queryJson.RawSql)
if err != nil {
errAppendDebug("interpolation failed", e.transformQueryError(logger, err), interpolatedQuery)
return
}
// data source specific substitutions
interpolatedQuery, err = e.macroEngine.Interpolate(&query, timeRange, interpolatedQuery)
if err != nil {
errAppendDebug("interpolation failed", e.transformQueryError(logger, err), interpolatedQuery)
return
}
session := e.engine.NewSession()
defer session.Close()
db := session.DB()
rows, err := db.QueryContext(queryContext, interpolatedQuery)
if err != nil {
errAppendDebug("db query error", e.transformQueryError(logger, err), interpolatedQuery)
return
}
defer func() {
if err := rows.Close(); err != nil {
logger.Warn("Failed to close rows", "err", err)
}
}()
qm, err := e.newProcessCfg(query, queryContext, rows, interpolatedQuery)
if err != nil {
errAppendDebug("failed to get configurations", err, interpolatedQuery)
return
}
// Convert row.Rows to dataframe
stringConverters := e.queryResultTransformer.GetConverterList()
frame, err := sqlutil.FrameFromRows(rows.Rows, e.rowLimit, sqlutil.ToConverters(stringConverters...)...)
if err != nil {
errAppendDebug("convert frame from rows error", err, interpolatedQuery)
return
}
if frame.Meta == nil {
frame.Meta = &data.FrameMeta{}
}
frame.Meta.ExecutedQueryString = interpolatedQuery
// If no rows were returned, no point checking anything else.
if frame.Rows() == 0 {
queryResult.dataResponse.Frames = data.Frames{frame}
ch <- queryResult
return
}
if err := convertSQLTimeColumnsToEpochMS(frame, qm); err != nil {
errAppendDebug("converting time columns failed", err, interpolatedQuery)
return
}
if qm.Format == dataQueryFormatSeries {
// time series has to have time column
if qm.timeIndex == -1 {
errAppendDebug("db has no time column", errors.New("no time column found"), interpolatedQuery)
return
}
// Make sure to name the time field 'Time' to be backward compatible with Grafana pre-v8.
frame.Fields[qm.timeIndex].Name = data.TimeSeriesTimeFieldName
for i := range qm.columnNames {
if i == qm.timeIndex || i == qm.metricIndex {
continue
}
if t := frame.Fields[i].Type(); t == data.FieldTypeString || t == data.FieldTypeNullableString {
continue
}
var err error
if frame, err = convertSQLValueColumnToFloat(frame, i); err != nil {
errAppendDebug("convert value to float failed", err, interpolatedQuery)
return
}
}
tsSchema := frame.TimeSeriesSchema()
if tsSchema.Type == data.TimeSeriesTypeLong {
var err error
originalData := frame
frame, err = data.LongToWide(frame, qm.FillMissing)
if err != nil {
errAppendDebug("failed to convert long to wide series when converting from dataframe", err, interpolatedQuery)
return
}
// Before 8x, a special metric column was used to name time series. The LongToWide transforms that into a metric label on the value field.
// But that makes series name have both the value column name AND the metric name. So here we are removing the metric label here and moving it to the
// field name to get the same naming for the series as pre v8
if len(originalData.Fields) == 3 {
for _, field := range frame.Fields {
if len(field.Labels) == 1 { // 7x only supported one label
name, ok := field.Labels["metric"]
if ok {
field.Name = name
field.Labels = nil
}
}
}
}
}
if qm.FillMissing != nil {
var err error
frame, err = resample(frame, *qm)
if err != nil {
logger.Error("Failed to resample dataframe", "err", err)
frame.AppendNotices(data.Notice{Text: "Failed to resample dataframe", Severity: data.NoticeSeverityWarning})
}
}
}
queryResult.dataResponse.Frames = data.Frames{frame}
ch <- queryResult
}
// Interpolate provides global macros/substitutions for all sql datasources.
var Interpolate = func(query backend.DataQuery, timeRange backend.TimeRange, timeInterval string, sql string) (string, error) {
minInterval, err := intervalv2.GetIntervalFrom(timeInterval, query.Interval.String(), query.Interval.Milliseconds(), time.Second*60)
if err != nil {
return "", err
}
interval := sqlIntervalCalculator.Calculate(timeRange, minInterval, query.MaxDataPoints)
sql = strings.ReplaceAll(sql, "$__interval_ms", strconv.FormatInt(interval.Milliseconds(), 10))
sql = strings.ReplaceAll(sql, "$__interval", interval.Text)
sql = strings.ReplaceAll(sql, "$__unixEpochFrom()", fmt.Sprintf("%d", timeRange.From.UTC().Unix()))
sql = strings.ReplaceAll(sql, "$__unixEpochTo()", fmt.Sprintf("%d", timeRange.To.UTC().Unix()))
return sql, nil
}
func (e *DataSourceHandler) newProcessCfg(query backend.DataQuery, queryContext context.Context,
rows *core.Rows, interpolatedQuery string) (*dataQueryModel, error) {
columnNames, err := rows.Columns()
if err != nil {
return nil, err
}
columnTypes, err := rows.ColumnTypes()
if err != nil {
return nil, err
}
qm := &dataQueryModel{
columnTypes: columnTypes,
columnNames: columnNames,
rows: rows,
timeIndex: -1,
timeEndIndex: -1,
metricIndex: -1,
metricPrefix: false,
queryContext: queryContext,
}
queryJson := QueryJson{}
err = json.Unmarshal(query.JSON, &queryJson)
if err != nil {
return nil, err
}
if queryJson.Fill {
qm.FillMissing = &data.FillMissing{}
qm.Interval = time.Duration(queryJson.FillInterval * float64(time.Second))
switch strings.ToLower(queryJson.FillMode) {
case "null":
qm.FillMissing.Mode = data.FillModeNull
case "previous":
qm.FillMissing.Mode = data.FillModePrevious
case "value":
qm.FillMissing.Mode = data.FillModeValue
qm.FillMissing.Value = queryJson.FillValue
default:
}
}
qm.TimeRange.From = query.TimeRange.From.UTC()
qm.TimeRange.To = query.TimeRange.To.UTC()
switch queryJson.Format {
case "time_series":
qm.Format = dataQueryFormatSeries
case "table":
qm.Format = dataQueryFormatTable
default:
panic(fmt.Sprintf("Unrecognized query model format: %q", queryJson.Format))
}
for i, col := range qm.columnNames {
for _, tc := range e.timeColumnNames {
if col == tc {
qm.timeIndex = i
break
}
}
if qm.Format == dataQueryFormatTable && col == "timeend" {
qm.timeEndIndex = i
continue
}
switch col {
case "metric":
qm.metricIndex = i
default:
if qm.metricIndex == -1 {
columnType := qm.columnTypes[i].DatabaseTypeName()
for _, mct := range e.metricColumnTypes {
if columnType == mct {
qm.metricIndex = i
continue
}
}
}
}
}
qm.InterpolatedQuery = interpolatedQuery
return qm, nil
}
// dataQueryFormat is the type of query.
type dataQueryFormat string
const (
// dataQueryFormatTable identifies a table query (default).
dataQueryFormatTable dataQueryFormat = "table"
// dataQueryFormatSeries identifies a time series query.
dataQueryFormatSeries dataQueryFormat = "time_series"
)
type dataQueryModel struct {
InterpolatedQuery string // property not set until after Interpolate()
Format dataQueryFormat
TimeRange backend.TimeRange
FillMissing *data.FillMissing // property not set until after Interpolate()
Interval time.Duration
columnNames []string
columnTypes []*sql.ColumnType
timeIndex int
timeEndIndex int
metricIndex int
rows *core.Rows
metricPrefix bool
queryContext context.Context
}
func convertInt64ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(origin.At(i).(int64))
newField.Append(&value)
}
}
func convertNullableInt64ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*int64)
if iv == nil {
newField.Append(nil)
} else {
value := float64(*iv)
newField.Append(&value)
}
}
}
func convertUInt64ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(origin.At(i).(uint64))
newField.Append(&value)
}
}
func convertNullableUInt64ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*uint64)
if iv == nil {
newField.Append(nil)
} else {
value := float64(*iv)
newField.Append(&value)
}
}
}
func convertInt32ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(origin.At(i).(int32))
newField.Append(&value)
}
}
func convertNullableInt32ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*int32)
if iv == nil {
newField.Append(nil)
} else {
value := float64(*iv)
newField.Append(&value)
}
}
}
func convertUInt32ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(origin.At(i).(uint32))
newField.Append(&value)
}
}
func convertNullableUInt32ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*uint32)
if iv == nil {
newField.Append(nil)
} else {
value := float64(*iv)
newField.Append(&value)
}
}
}
func convertInt16ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(origin.At(i).(int16))
newField.Append(&value)
}
}
func convertNullableInt16ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*int16)
if iv == nil {
newField.Append(nil)
} else {
value := float64(*iv)
newField.Append(&value)
}
}
}
func convertUInt16ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(origin.At(i).(uint16))
newField.Append(&value)
}
}
func convertNullableUInt16ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*uint16)
if iv == nil {
newField.Append(nil)
} else {
value := float64(*iv)
newField.Append(&value)
}
}
}
func convertInt8ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(origin.At(i).(int8))
newField.Append(&value)
}
}
func convertNullableInt8ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*int8)
if iv == nil {
newField.Append(nil)
} else {
value := float64(*iv)
newField.Append(&value)
}
}
}
func convertUInt8ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(origin.At(i).(uint8))
newField.Append(&value)
}
}
func convertNullableUInt8ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*uint8)
if iv == nil {
newField.Append(nil)
} else {
value := float64(*iv)
newField.Append(&value)
}
}
}
func convertUnknownToZero(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(0)
newField.Append(&value)
}
}
func convertNullableFloat32ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*float32)
if iv == nil {
newField.Append(nil)
} else {
value := float64(*iv)
newField.Append(&value)
}
}
}
func convertFloat32ToFloat64(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := float64(origin.At(i).(float32))
newField.Append(&value)
}
}
func convertInt64ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := time.Unix(0, int64(epochPrecisionToMS(float64(origin.At(i).(int64))))*int64(time.Millisecond))
newField.Append(&value)
}
}
func convertNullableInt64ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*int64)
if iv == nil {
newField.Append(nil)
} else {
value := time.Unix(0, int64(epochPrecisionToMS(float64(*iv)))*int64(time.Millisecond))
newField.Append(&value)
}
}
}
func convertUInt64ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := time.Unix(0, int64(epochPrecisionToMS(float64(origin.At(i).(uint64))))*int64(time.Millisecond))
newField.Append(&value)
}
}
func convertNullableUInt64ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*uint64)
if iv == nil {
newField.Append(nil)
} else {
value := time.Unix(0, int64(epochPrecisionToMS(float64(*iv)))*int64(time.Millisecond))
newField.Append(&value)
}
}
}
func convertInt32ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := time.Unix(0, int64(epochPrecisionToMS(float64(origin.At(i).(int32))))*int64(time.Millisecond))
newField.Append(&value)
}
}
func convertNullableInt32ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*int32)
if iv == nil {
newField.Append(nil)
} else {
value := time.Unix(0, int64(epochPrecisionToMS(float64(*iv)))*int64(time.Millisecond))
newField.Append(&value)
}
}
}
func convertUInt32ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := time.Unix(0, int64(epochPrecisionToMS(float64(origin.At(i).(uint32))))*int64(time.Millisecond))
newField.Append(&value)
}
}
func convertNullableUInt32ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*uint32)
if iv == nil {
newField.Append(nil)
} else {
value := time.Unix(0, int64(epochPrecisionToMS(float64(*iv)))*int64(time.Millisecond))
newField.Append(&value)
}
}
}
func convertFloat64ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := time.Unix(0, int64(epochPrecisionToMS(origin.At(i).(float64)))*int64(time.Millisecond))
newField.Append(&value)
}
}
func convertNullableFloat64ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*float64)
if iv == nil {
newField.Append(nil)
} else {
value := time.Unix(0, int64(epochPrecisionToMS(*iv))*int64(time.Millisecond))
newField.Append(&value)
}
}
}
func convertFloat32ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
value := time.Unix(0, int64(epochPrecisionToMS(float64(origin.At(i).(float32))))*int64(time.Millisecond))
newField.Append(&value)
}
}
func convertNullableFloat32ToEpochMS(origin *data.Field, newField *data.Field) {
valueLength := origin.Len()
for i := 0; i < valueLength; i++ {
iv := origin.At(i).(*float32)
if iv == nil {
newField.Append(nil)
} else {
value := time.Unix(0, int64(epochPrecisionToMS(float64(*iv)))*int64(time.Millisecond))
newField.Append(&value)
}
}
}
func convertSQLTimeColumnsToEpochMS(frame *data.Frame, qm *dataQueryModel) error {
if qm.timeIndex != -1 {
if err := convertSQLTimeColumnToEpochMS(frame, qm.timeIndex); err != nil {
return fmt.Errorf("%v: %w", "failed to convert time column", err)
}
}
if qm.timeEndIndex != -1 {
if err := convertSQLTimeColumnToEpochMS(frame, qm.timeEndIndex); err != nil {
return fmt.Errorf("%v: %w", "failed to convert timeend column", err)
}
}
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(frame *data.Frame, timeIndex int) error {
if timeIndex < 0 || timeIndex >= len(frame.Fields) {
return fmt.Errorf("timeIndex %d is out of range", timeIndex)
}
origin := frame.Fields[timeIndex]
valueType := origin.Type()
if valueType == data.FieldTypeTime || valueType == data.FieldTypeNullableTime {
return nil
}
newField := data.NewFieldFromFieldType(data.FieldTypeNullableTime, 0)
newField.Name = origin.Name
newField.Labels = origin.Labels
switch valueType {
case data.FieldTypeInt64:
convertInt64ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeNullableInt64:
convertNullableInt64ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeUint64:
convertUInt64ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeNullableUint64:
convertNullableUInt64ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeInt32:
convertInt32ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeNullableInt32:
convertNullableInt32ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeUint32:
convertUInt32ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeNullableUint32:
convertNullableUInt32ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeFloat64:
convertFloat64ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeNullableFloat64:
convertNullableFloat64ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeFloat32:
convertFloat32ToEpochMS(frame.Fields[timeIndex], newField)
case data.FieldTypeNullableFloat32:
convertNullableFloat32ToEpochMS(frame.Fields[timeIndex], newField)
default:
return fmt.Errorf("column type %q is not convertible to time.Time", valueType)
}
frame.Fields[timeIndex] = newField
return nil
}
// convertSQLValueColumnToFloat converts timeseries value column to float.
//
//nolint:gocyclo
func convertSQLValueColumnToFloat(frame *data.Frame, Index int) (*data.Frame, error) {
if Index < 0 || Index >= len(frame.Fields) {
return frame, fmt.Errorf("metricIndex %d is out of range", Index)
}
origin := frame.Fields[Index]
valueType := origin.Type()
if valueType == data.FieldTypeFloat64 || valueType == data.FieldTypeNullableFloat64 {
return frame, nil
}
newField := data.NewFieldFromFieldType(data.FieldTypeNullableFloat64, 0)
newField.Name = origin.Name
newField.Labels = origin.Labels
switch valueType {
case data.FieldTypeInt64:
convertInt64ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeNullableInt64:
convertNullableInt64ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeUint64:
convertUInt64ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeNullableUint64:
convertNullableUInt64ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeInt32:
convertInt32ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeNullableInt32:
convertNullableInt32ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeUint32:
convertUInt32ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeNullableUint32:
convertNullableUInt32ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeInt16:
convertInt16ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeNullableInt16:
convertNullableInt16ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeUint16:
convertUInt16ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeNullableUint16:
convertNullableUInt16ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeInt8:
convertInt8ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeNullableInt8:
convertNullableInt8ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeUint8:
convertUInt8ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeNullableUint8:
convertNullableUInt8ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeFloat32:
convertFloat32ToFloat64(frame.Fields[Index], newField)
case data.FieldTypeNullableFloat32:
convertNullableFloat32ToFloat64(frame.Fields[Index], newField)
default:
convertUnknownToZero(frame.Fields[Index], newField)
frame.Fields[Index] = newField
return frame, fmt.Errorf("metricIndex %d type %s can't be converted to float", Index, valueType)
}
frame.Fields[Index] = newField
return frame, nil
}
func SetupFillmode(query *backend.DataQuery, interval time.Duration, fillmode string) error {
rawQueryProp := make(map[string]interface{})
queryBytes, err := query.JSON.MarshalJSON()
if err != nil {
return err
}
err = json.Unmarshal(queryBytes, &rawQueryProp)
if err != nil {
return err
}
rawQueryProp["fill"] = true
rawQueryProp["fillInterval"] = interval.Seconds()
switch fillmode {
case "NULL":
rawQueryProp["fillMode"] = "null"
case "previous":
rawQueryProp["fillMode"] = "previous"
default:
rawQueryProp["fillMode"] = "value"
floatVal, err := strconv.ParseFloat(fillmode, 64)
if err != nil {
return fmt.Errorf("error parsing fill value %v", fillmode)
}
rawQueryProp["fillValue"] = floatVal
}
query.JSON, err = json.Marshal(rawQueryProp)
if err != nil {
return err
}
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:]
}
// epochPrecisionToMS converts epoch precision to millisecond, if needed.
// Only seconds to milliseconds supported right now
func epochPrecisionToMS(value float64) float64 {
s := strconv.FormatFloat(value, 'e', -1, 64)
if strings.HasSuffix(s, "e+09") {
return value * float64(1e3)
}
if strings.HasSuffix(s, "e+18") {
return value / float64(time.Millisecond)
}
return value
}