mirror of
https://github.com/grafana/grafana.git
synced 2025-02-25 18:55:37 -06:00
postgres: use new sql engine
This commit is contained in:
parent
d42cea5d42
commit
2f3851b915
@ -14,18 +14,18 @@ import (
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const rsIdentifier = `([_a-zA-Z0-9]+)`
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const sExpr = `\$` + rsIdentifier + `\(([^\)]*)\)`
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type PostgresMacroEngine struct {
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TimeRange *tsdb.TimeRange
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Query *tsdb.Query
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type postgresMacroEngine struct {
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timeRange *tsdb.TimeRange
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query *tsdb.Query
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}
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func NewPostgresMacroEngine() tsdb.SqlMacroEngine {
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return &PostgresMacroEngine{}
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func newPostgresMacroEngine() tsdb.SqlMacroEngine {
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return &postgresMacroEngine{}
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}
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func (m *PostgresMacroEngine) Interpolate(query *tsdb.Query, timeRange *tsdb.TimeRange, sql string) (string, error) {
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m.TimeRange = timeRange
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m.Query = query
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func (m *postgresMacroEngine) Interpolate(query *tsdb.Query, timeRange *tsdb.TimeRange, sql string) (string, error) {
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m.timeRange = timeRange
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m.query = query
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rExp, _ := regexp.Compile(sExpr)
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var macroError error
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@ -66,7 +66,7 @@ func replaceAllStringSubmatchFunc(re *regexp.Regexp, str string, repl func([]str
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return result + str[lastIndex:]
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}
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func (m *PostgresMacroEngine) evaluateMacro(name string, args []string) (string, error) {
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func (m *postgresMacroEngine) evaluateMacro(name string, args []string) (string, error) {
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switch name {
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case "__time":
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if len(args) == 0 {
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@ -83,11 +83,11 @@ func (m *PostgresMacroEngine) evaluateMacro(name string, args []string) (string,
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return "", fmt.Errorf("missing time column argument for macro %v", name)
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}
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return fmt.Sprintf("%s BETWEEN '%s' AND '%s'", args[0], m.TimeRange.GetFromAsTimeUTC().Format(time.RFC3339), m.TimeRange.GetToAsTimeUTC().Format(time.RFC3339)), nil
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return fmt.Sprintf("%s BETWEEN '%s' AND '%s'", args[0], m.timeRange.GetFromAsTimeUTC().Format(time.RFC3339), m.timeRange.GetToAsTimeUTC().Format(time.RFC3339)), nil
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case "__timeFrom":
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return fmt.Sprintf("'%s'", m.TimeRange.GetFromAsTimeUTC().Format(time.RFC3339)), nil
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return fmt.Sprintf("'%s'", m.timeRange.GetFromAsTimeUTC().Format(time.RFC3339)), nil
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case "__timeTo":
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return fmt.Sprintf("'%s'", m.TimeRange.GetToAsTimeUTC().Format(time.RFC3339)), nil
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return fmt.Sprintf("'%s'", m.timeRange.GetToAsTimeUTC().Format(time.RFC3339)), nil
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case "__timeGroup":
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if len(args) < 2 {
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return "", fmt.Errorf("macro %v needs time column and interval and optional fill value", name)
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@ -97,16 +97,16 @@ func (m *PostgresMacroEngine) evaluateMacro(name string, args []string) (string,
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return "", fmt.Errorf("error parsing interval %v", args[1])
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}
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if len(args) == 3 {
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m.Query.Model.Set("fill", true)
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m.Query.Model.Set("fillInterval", interval.Seconds())
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m.query.Model.Set("fill", true)
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m.query.Model.Set("fillInterval", interval.Seconds())
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if args[2] == "NULL" {
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m.Query.Model.Set("fillNull", true)
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m.query.Model.Set("fillNull", true)
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} else {
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floatVal, err := strconv.ParseFloat(args[2], 64)
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if err != nil {
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return "", fmt.Errorf("error parsing fill value %v", args[2])
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}
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m.Query.Model.Set("fillValue", floatVal)
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m.query.Model.Set("fillValue", floatVal)
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}
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}
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return fmt.Sprintf("floor(extract(epoch from %s)/%v)*%v AS time", args[0], interval.Seconds(), interval.Seconds()), nil
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@ -114,11 +114,11 @@ func (m *PostgresMacroEngine) evaluateMacro(name string, args []string) (string,
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if len(args) == 0 {
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return "", fmt.Errorf("missing time column argument for macro %v", name)
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}
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return fmt.Sprintf("%s >= %d AND %s <= %d", args[0], m.TimeRange.GetFromAsSecondsEpoch(), args[0], m.TimeRange.GetToAsSecondsEpoch()), nil
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return fmt.Sprintf("%s >= %d AND %s <= %d", args[0], m.timeRange.GetFromAsSecondsEpoch(), args[0], m.timeRange.GetToAsSecondsEpoch()), nil
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case "__unixEpochFrom":
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return fmt.Sprintf("%d", m.TimeRange.GetFromAsSecondsEpoch()), nil
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return fmt.Sprintf("%d", m.timeRange.GetFromAsSecondsEpoch()), nil
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case "__unixEpochTo":
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return fmt.Sprintf("%d", m.TimeRange.GetToAsSecondsEpoch()), nil
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return fmt.Sprintf("%d", m.timeRange.GetToAsSecondsEpoch()), nil
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default:
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return "", fmt.Errorf("Unknown macro %v", name)
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}
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@ -12,7 +12,7 @@ import (
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func TestMacroEngine(t *testing.T) {
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Convey("MacroEngine", t, func() {
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engine := NewPostgresMacroEngine()
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engine := newPostgresMacroEngine()
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query := &tsdb.Query{}
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Convey("Given a time range between 2018-04-12 00:00 and 2018-04-12 00:05", func() {
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@ -1,46 +1,38 @@
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package postgres
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import (
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"container/list"
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"context"
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"fmt"
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"math"
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"database/sql"
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"net/url"
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"strconv"
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"github.com/go-xorm/core"
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"github.com/grafana/grafana/pkg/components/null"
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"github.com/grafana/grafana/pkg/log"
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"github.com/grafana/grafana/pkg/models"
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"github.com/grafana/grafana/pkg/tsdb"
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)
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type PostgresQueryEndpoint struct {
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sqlEngine tsdb.SqlEngine
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log log.Logger
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}
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func init() {
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tsdb.RegisterTsdbQueryEndpoint("postgres", NewPostgresQueryEndpoint)
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tsdb.RegisterTsdbQueryEndpoint("postgres", newPostgresQueryEndpoint)
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}
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func NewPostgresQueryEndpoint(datasource *models.DataSource) (tsdb.TsdbQueryEndpoint, error) {
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endpoint := &PostgresQueryEndpoint{
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log: log.New("tsdb.postgres"),
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}
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endpoint.sqlEngine = &tsdb.DefaultSqlEngine{
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MacroEngine: NewPostgresMacroEngine(),
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}
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func newPostgresQueryEndpoint(datasource *models.DataSource) (tsdb.TsdbQueryEndpoint, error) {
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logger := log.New("tsdb.postgres")
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cnnstr := generateConnectionString(datasource)
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endpoint.log.Debug("getEngine", "connection", cnnstr)
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logger.Debug("getEngine", "connection", cnnstr)
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if err := endpoint.sqlEngine.InitEngine("postgres", datasource, cnnstr); err != nil {
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return nil, err
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config := tsdb.SqlQueryEndpointConfiguration{
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DriverName: "postgres",
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ConnectionString: cnnstr,
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Datasource: datasource,
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MetricColumnTypes: []string{"UNKNOWN", "TEXT", "VARCHAR", "CHAR"},
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}
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return endpoint, nil
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rowTransformer := postgresRowTransformer{
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log: logger,
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}
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return tsdb.NewSqlQueryEndpoint(&config, &rowTransformer, newPostgresMacroEngine(), logger)
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}
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func generateConnectionString(datasource *models.DataSource) string {
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@ -63,70 +55,15 @@ func generateConnectionString(datasource *models.DataSource) string {
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return u.String()
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}
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func (e *PostgresQueryEndpoint) Query(ctx context.Context, dsInfo *models.DataSource, tsdbQuery *tsdb.TsdbQuery) (*tsdb.Response, error) {
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return e.sqlEngine.Query(ctx, dsInfo, tsdbQuery, e.transformToTimeSeries, e.transformToTable)
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type postgresRowTransformer struct {
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log log.Logger
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}
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func (e PostgresQueryEndpoint) transformToTable(query *tsdb.Query, rows *core.Rows, result *tsdb.QueryResult, tsdbQuery *tsdb.TsdbQuery) error {
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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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func (t *postgresRowTransformer) Transform(columnTypes []*sql.ColumnType, rows *core.Rows) (tsdb.RowValues, error) {
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values := make([]interface{}, len(columnTypes))
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valuePtrs := make([]interface{}, len(columnTypes))
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table := &tsdb.Table{
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Columns: make([]tsdb.TableColumn, len(columnNames)),
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Rows: make([]tsdb.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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}
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rowLimit := 1000000
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rowCount := 0
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timeIndex := -1
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// check if there is a column named time
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for i, col := range columnNames {
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switch col {
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case "time":
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timeIndex = i
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}
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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("PostgreSQL query row limit exceeded, limit %d", rowLimit)
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}
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values, err := e.getTypedRowData(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 postgres datetime types and epoch dates work in
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// annotation and table queries.
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tsdb.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 PostgresQueryEndpoint) getTypedRowData(rows *core.Rows) (tsdb.RowValues, error) {
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types, err := rows.ColumnTypes()
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if err != nil {
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return nil, err
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}
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values := make([]interface{}, len(types))
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valuePtrs := make([]interface{}, len(types))
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for i := 0; i < len(types); i++ {
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for i := 0; i < len(columnTypes); i++ {
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valuePtrs[i] = &values[i]
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}
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@ -136,20 +73,20 @@ func (e PostgresQueryEndpoint) getTypedRowData(rows *core.Rows) (tsdb.RowValues,
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// convert types not handled by lib/pq
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// unhandled types are returned as []byte
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for i := 0; i < len(types); i++ {
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for i := 0; i < len(columnTypes); i++ {
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if value, ok := values[i].([]byte); ok {
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switch types[i].DatabaseTypeName() {
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switch columnTypes[i].DatabaseTypeName() {
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case "NUMERIC":
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if v, err := strconv.ParseFloat(string(value), 64); err == nil {
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values[i] = v
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} else {
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e.log.Debug("Rows", "Error converting numeric to float", value)
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t.log.Debug("Rows", "Error converting numeric to float", value)
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}
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case "UNKNOWN", "CIDR", "INET", "MACADDR":
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// char literals have type UNKNOWN
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values[i] = string(value)
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default:
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e.log.Debug("Rows", "Unknown database type", types[i].DatabaseTypeName(), "value", value)
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t.log.Debug("Rows", "Unknown database type", columnTypes[i].DatabaseTypeName(), "value", value)
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values[i] = string(value)
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}
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}
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@ -157,159 +94,3 @@ func (e PostgresQueryEndpoint) getTypedRowData(rows *core.Rows) (tsdb.RowValues,
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return values, nil
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}
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func (e PostgresQueryEndpoint) transformToTimeSeries(query *tsdb.Query, rows *core.Rows, result *tsdb.QueryResult, tsdbQuery *tsdb.TsdbQuery) error {
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pointsBySeries := make(map[string]*tsdb.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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rowLimit := 1000000
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rowCount := 0
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timeIndex := -1
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metricIndex := -1
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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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switch col {
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case "time":
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timeIndex = i
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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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switch columnTypes[i].DatabaseTypeName() {
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case "UNKNOWN", "TEXT", "VARCHAR", "CHAR":
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metricIndex = i
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}
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}
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}
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}
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if timeIndex == -1 {
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return fmt.Errorf("Found no column named time")
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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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if fillMissing {
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fillInterval = query.Model.Get("fillInterval").MustFloat64() * 1000
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if !query.Model.Get("fillNull").MustBool(false) {
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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("PostgreSQL query row limit exceeded, limit %d", rowLimit)
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}
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values, err := e.getTypedRowData(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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tsdb.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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metric = columnValue
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} else {
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return fmt.Errorf("Column metric must be of type char,varchar or text, got: %T %v", values[metricIndex], 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 = tsdb.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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}
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series, exist := pointsBySeries[metric]
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if !exist {
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series = &tsdb.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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// 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, tsdb.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, tsdb.TimePoint{value, null.FloatFrom(timestamp)})
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e.log.Debug("Rows", "metric", metric, "time", timestamp, "value", value)
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rowCount++
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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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// 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, tsdb.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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|
@ -8,8 +8,9 @@ import (
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"time"
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"github.com/go-xorm/xorm"
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"github.com/grafana/grafana/pkg/components/securejsondata"
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"github.com/grafana/grafana/pkg/components/simplejson"
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"github.com/grafana/grafana/pkg/log"
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"github.com/grafana/grafana/pkg/models"
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"github.com/grafana/grafana/pkg/services/sqlstore"
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"github.com/grafana/grafana/pkg/services/sqlstore/sqlutil"
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"github.com/grafana/grafana/pkg/tsdb"
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@ -22,8 +23,9 @@ import (
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// The tests require a PostgreSQL db named grafanadstest and a user/password grafanatest/grafanatest!
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// Use the docker/blocks/postgres_tests/docker-compose.yaml to spin up a
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// preconfigured Postgres server suitable for running these tests.
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// There is also a dashboard.json in same directory that you can import to Grafana
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// once you've created a datasource for the test server/database.
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// There is also a datasource and dashboard provisioned by devenv scripts that you can
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// use to verify that the generated data are vizualized as expected, see
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// devenv/README.md for setup instructions.
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func TestPostgres(t *testing.T) {
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// change to true to run the MySQL tests
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runPostgresTests := false
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@ -36,19 +38,25 @@ func TestPostgres(t *testing.T) {
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Convey("PostgreSQL", t, func() {
|
||||
x := InitPostgresTestDB(t)
|
||||
|
||||
endpoint := &PostgresQueryEndpoint{
|
||||
sqlEngine: &tsdb.DefaultSqlEngine{
|
||||
MacroEngine: NewPostgresMacroEngine(),
|
||||
XormEngine: x,
|
||||
},
|
||||
log: log.New("tsdb.postgres"),
|
||||
origXormEngine := tsdb.NewXormEngine
|
||||
tsdb.NewXormEngine = func(d, c string) (*xorm.Engine, error) {
|
||||
return x, nil
|
||||
}
|
||||
|
||||
sess := x.NewSession()
|
||||
defer sess.Close()
|
||||
endpoint, err := newPostgresQueryEndpoint(&models.DataSource{
|
||||
JsonData: simplejson.New(),
|
||||
SecureJsonData: securejsondata.SecureJsonData{},
|
||||
})
|
||||
So(err, ShouldBeNil)
|
||||
|
||||
sess := x.NewSession()
|
||||
fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC).In(time.Local)
|
||||
|
||||
Reset(func() {
|
||||
sess.Close()
|
||||
tsdb.NewXormEngine = origXormEngine
|
||||
})
|
||||
|
||||
Convey("Given a table with different native data types", func() {
|
||||
sql := `
|
||||
DROP TABLE IF EXISTS postgres_types;
|
||||
|
Loading…
Reference in New Issue
Block a user