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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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27c9446520
app/vmctl: skip measurements with no fields for influxdb mode
364 lines
8.3 KiB
Go
364 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::tag='%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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// Database returns database name
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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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log.Printf("skip measurement %q since it has no fields", s.Measurement)
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continue
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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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// Close closes cr.
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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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