mirror of
https://github.com/grafana/grafana.git
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320 lines
8.2 KiB
Go
320 lines
8.2 KiB
Go
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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"net/url"
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"strconv"
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"time"
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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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}
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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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cnnstr := generateConnectionString(datasource)
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endpoint.log.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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}
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return endpoint, nil
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}
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func generateConnectionString(datasource *models.DataSource) string {
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password := ""
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for key, value := range datasource.SecureJsonData.Decrypt() {
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if key == "password" {
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password = value
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break
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}
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}
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sslmode := datasource.JsonData.Get("sslmode").MustString("verify-full")
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return fmt.Sprintf("postgres://%s:%s@%s/%s?sslmode=%s", url.PathEscape(datasource.User), url.PathEscape(password), url.PathEscape(datasource.Url), url.PathEscape(datasource.Database), url.QueryEscape(sslmode))
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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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}
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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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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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// convert column named time to unix timestamp to make
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// native datetime postgres types work in annotation queries
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if timeIndex != -1 {
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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() / 1e9)
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}
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}
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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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valuePtrs[i] = &values[i]
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}
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if err := rows.Scan(valuePtrs...); err != nil {
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return nil, err
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}
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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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if value, ok := values[i].([]byte); ok == true {
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switch types[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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}
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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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values[i] = string(value)
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}
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}
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}
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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) == 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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switch columnValue := values[timeIndex].(type) {
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case int64:
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timestamp = float64(columnValue * 1000)
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case float64:
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timestamp = columnValue * 1000
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case time.Time:
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timestamp = float64(columnValue.UnixNano() / 1e6)
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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")
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}
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if metricIndex >= 0 {
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if columnValue, ok := values[metricIndex].(string); ok == true {
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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")
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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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switch columnValue := values[i].(type) {
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case int64:
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value = null.FloatFrom(float64(columnValue))
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case float64:
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value = null.FloatFrom(columnValue)
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case nil:
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value.Valid = false
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default:
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return fmt.Errorf("Value column must have numeric datatype, column: %s type: %T value: %v", col, columnValue, columnValue)
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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 == false {
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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 == false {
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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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