mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
7f4fb34182
It is better developing vmctl tool in VictoriaMetrics repository, so it could be released together with the rest of vmutils tools such as vmalert, vmagent, vmbackup, vmrestore and vmauth.
360 lines
8.3 KiB
Go
360 lines
8.3 KiB
Go
package influx
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import (
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"fmt"
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"io"
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"log"
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"strings"
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"time"
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influx "github.com/influxdata/influxdb/client/v2"
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)
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// Client represents a wrapper over
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// influx HTTP client
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type Client struct {
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influx.Client
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database string
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retention string
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chunkSize int
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filterSeries string
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filterTime string
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}
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// Config contains fields required
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// for Client configuration
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type Config struct {
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Addr string
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Username string
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Password string
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Database string
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Retention string
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ChunkSize int
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Filter Filter
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}
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// Filter contains configuration for filtering
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// the timeseries
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type Filter struct {
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Series string
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TimeStart string
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TimeEnd string
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}
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// Series holds the time series
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type Series struct {
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Measurement string
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Field string
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LabelPairs []LabelPair
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}
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var valueEscaper = strings.NewReplacer(`\`, `\\`, `'`, `\'`)
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func (s Series) fetchQuery(timeFilter string) string {
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f := &strings.Builder{}
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fmt.Fprintf(f, "select %q from %q", s.Field, s.Measurement)
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if len(s.LabelPairs) > 0 || len(timeFilter) > 0 {
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f.WriteString(" where")
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}
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for i, pair := range s.LabelPairs {
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pairV := valueEscaper.Replace(pair.Value)
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fmt.Fprintf(f, " %q='%s'", pair.Name, pairV)
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if i != len(s.LabelPairs)-1 {
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f.WriteString(" and")
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}
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}
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if len(timeFilter) > 0 {
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if len(s.LabelPairs) > 0 {
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f.WriteString(" and")
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}
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fmt.Fprintf(f, " %s", timeFilter)
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}
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return f.String()
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}
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// LabelPair is the key-value record
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// of time series label
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type LabelPair struct {
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Name string
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Value string
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}
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// NewClient creates and returns influx client
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// configured with passed Config
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func NewClient(cfg Config) (*Client, error) {
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c := influx.HTTPConfig{
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Addr: cfg.Addr,
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Username: cfg.Username,
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Password: cfg.Password,
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InsecureSkipVerify: true,
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}
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hc, err := influx.NewHTTPClient(c)
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if err != nil {
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return nil, fmt.Errorf("failed to establish conn: %s", err)
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}
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if _, _, err := hc.Ping(time.Second); err != nil {
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return nil, fmt.Errorf("ping failed: %s", err)
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}
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chunkSize := cfg.ChunkSize
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if chunkSize < 1 {
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chunkSize = 10e3
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}
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client := &Client{
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Client: hc,
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database: cfg.Database,
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retention: cfg.Retention,
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chunkSize: chunkSize,
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filterTime: timeFilter(cfg.Filter.TimeStart, cfg.Filter.TimeEnd),
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filterSeries: cfg.Filter.Series,
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}
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return client, nil
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}
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func (c Client) Database() string {
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return c.database
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}
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func timeFilter(start, end string) string {
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if start == "" && end == "" {
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return ""
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}
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var tf string
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if start != "" {
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tf = fmt.Sprintf("time >= '%s'", start)
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}
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if end != "" {
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if tf != "" {
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tf += " and "
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}
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tf += fmt.Sprintf("time <= '%s'", end)
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}
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return tf
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}
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// Explore checks the existing data schema in influx
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// by checking available fields and series,
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// which unique combination represents all possible
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// time series existing in database.
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// The explore required to reduce the load on influx
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// by querying field of the exact time series at once,
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// instead of fetching all of the values over and over.
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//
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// May contain non-existing time series.
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func (c *Client) Explore() ([]*Series, error) {
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log.Printf("Exploring scheme for database %q", c.database)
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mFields, err := c.fieldsByMeasurement()
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if err != nil {
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return nil, fmt.Errorf("failed to get field keys: %s", err)
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}
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series, err := c.getSeries()
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if err != nil {
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return nil, fmt.Errorf("failed to get series: %s", err)
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}
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var iSeries []*Series
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for _, s := range series {
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fields, ok := mFields[s.Measurement]
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if !ok {
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return nil, fmt.Errorf("can't find field keys for measurement %q", s.Measurement)
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}
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for _, field := range fields {
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is := &Series{
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Measurement: s.Measurement,
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Field: field,
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LabelPairs: s.LabelPairs,
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}
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iSeries = append(iSeries, is)
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}
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}
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return iSeries, nil
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}
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// ChunkedResponse is a wrapper over influx.ChunkedResponse.
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// Used for better memory usage control while iterating
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// over huge time series.
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type ChunkedResponse struct {
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cr *influx.ChunkedResponse
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iq influx.Query
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field string
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}
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func (cr *ChunkedResponse) Close() error {
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return cr.cr.Close()
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}
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// Next reads the next part/chunk of time series.
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// Returns io.EOF when time series was read entirely.
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func (cr *ChunkedResponse) Next() ([]int64, []float64, error) {
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resp, err := cr.cr.NextResponse()
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if err != nil {
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return nil, nil, err
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}
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if resp.Error() != nil {
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return nil, nil, fmt.Errorf("response error for %s: %s", cr.iq.Command, resp.Error())
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}
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if len(resp.Results) != 1 {
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return nil, nil, fmt.Errorf("unexpected number of results in response: %d", len(resp.Results))
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}
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results, err := parseResult(resp.Results[0])
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if err != nil {
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return nil, nil, err
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}
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if len(results) < 1 {
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return nil, nil, nil
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}
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r := results[0]
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const key = "time"
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timestamps, ok := r.values[key]
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if !ok {
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return nil, nil, fmt.Errorf("response doesn't contain field %q", key)
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}
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fieldValues, ok := r.values[cr.field]
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if !ok {
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return nil, nil, fmt.Errorf("response doesn't contain filed %q", cr.field)
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}
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values := make([]float64, len(fieldValues))
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for i, fv := range fieldValues {
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v, err := toFloat64(fv)
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if err != nil {
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return nil, nil, fmt.Errorf("failed to convert value %q.%v to float64: %s",
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cr.field, v, err)
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}
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values[i] = v
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}
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ts := make([]int64, len(results[0].values[key]))
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for i, v := range timestamps {
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t, err := parseDate(v.(string))
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if err != nil {
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return nil, nil, err
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}
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ts[i] = t
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}
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return ts, values, nil
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}
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// FetchDataPoints performs SELECT request to fetch
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// datapoints for particular field.
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func (c *Client) FetchDataPoints(s *Series) (*ChunkedResponse, error) {
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iq := influx.Query{
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Command: s.fetchQuery(c.filterTime),
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Database: c.database,
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RetentionPolicy: c.retention,
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Chunked: true,
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ChunkSize: 1e4,
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}
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cr, err := c.QueryAsChunk(iq)
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if err != nil {
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return nil, fmt.Errorf("query %q err: %s", iq.Command, err)
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}
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return &ChunkedResponse{cr, iq, s.Field}, nil
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}
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func (c *Client) fieldsByMeasurement() (map[string][]string, error) {
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q := influx.Query{
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Command: "show field keys",
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Database: c.database,
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RetentionPolicy: c.retention,
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}
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log.Printf("fetching fields: %s", stringify(q))
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qValues, err := c.do(q)
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if err != nil {
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return nil, fmt.Errorf("error while executing query %q: %s", q.Command, err)
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}
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var total int
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var skipped int
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const fKey = "fieldKey"
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const fType = "fieldType"
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result := make(map[string][]string, len(qValues))
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for _, qv := range qValues {
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types := qv.values[fType]
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fields := qv.values[fKey]
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values := make([]string, 0)
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for key, field := range fields {
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if types[key].(string) == "string" {
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skipped++
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continue
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}
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values = append(values, field.(string))
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total++
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}
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result[qv.name] = values
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}
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if skipped > 0 {
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log.Printf("found %d fields; skipped %d non-numeric fields", total, skipped)
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} else {
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log.Printf("found %d fields", total)
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}
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return result, nil
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}
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func (c *Client) getSeries() ([]*Series, error) {
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com := "show series"
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if c.filterSeries != "" {
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com = fmt.Sprintf("%s %s", com, c.filterSeries)
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}
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q := influx.Query{
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Command: com,
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Database: c.database,
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RetentionPolicy: c.retention,
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Chunked: true,
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ChunkSize: c.chunkSize,
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}
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log.Printf("fetching series: %s", stringify(q))
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cr, err := c.QueryAsChunk(q)
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if err != nil {
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return nil, fmt.Errorf("error while executing query %q: %s", q.Command, err)
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}
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const key = "key"
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var result []*Series
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for {
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resp, err := cr.NextResponse()
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if err != nil {
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if err == io.EOF {
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break
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}
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return nil, err
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}
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if resp.Error() != nil {
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return nil, fmt.Errorf("response error for query %q: %s", q.Command, resp.Error())
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}
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qValues, err := parseResult(resp.Results[0])
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if err != nil {
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return nil, err
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}
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for _, qv := range qValues {
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for _, v := range qv.values[key] {
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s := &Series{}
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if err := s.unmarshal(v.(string)); err != nil {
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return nil, err
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}
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result = append(result, s)
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}
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}
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}
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log.Printf("found %d series", len(result))
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return result, nil
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}
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func (c *Client) do(q influx.Query) ([]queryValues, error) {
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res, err := c.Query(q)
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if err != nil {
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return nil, fmt.Errorf("query %q err: %s", q.Command, err)
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}
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if len(res.Results) < 1 {
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return nil, fmt.Errorf("exploration query %q returned 0 results", q.Command)
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}
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return parseResult(res.Results[0])
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}
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