d5fee5a3f5
* Create Loki backend template * Update endpoint * Adjust step * Add test * Change to use Loki client * Address feedback, improve errors and comments * Linting * Update pkg/tsdb/loki/loki.go * Update pkg/tsdb/loki/loki.go * Update pkg/tsdb/loki/loki.go
174 lines
4.9 KiB
Go
174 lines
4.9 KiB
Go
package loki
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import (
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"context"
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"fmt"
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"regexp"
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"strings"
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"time"
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"github.com/grafana/grafana/pkg/components/null"
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"github.com/grafana/grafana/pkg/infra/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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"github.com/grafana/loki/pkg/logcli/client"
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"github.com/grafana/loki/pkg/loghttp"
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"github.com/grafana/loki/pkg/logproto"
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"github.com/opentracing/opentracing-go"
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"github.com/prometheus/common/model"
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)
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type LokiExecutor struct{}
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func NewLokiExecutor(dsInfo *models.DataSource) (tsdb.TsdbQueryEndpoint, error) {
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return &LokiExecutor{}, nil
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}
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var (
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plog log.Logger
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legendFormat *regexp.Regexp
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intervalCalculator tsdb.IntervalCalculator
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)
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func init() {
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plog = log.New("tsdb.loki")
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tsdb.RegisterTsdbQueryEndpoint("loki", NewLokiExecutor)
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legendFormat = regexp.MustCompile(`\{\{\s*(.+?)\s*\}\}`)
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intervalCalculator = tsdb.NewIntervalCalculator(&tsdb.IntervalOptions{MinInterval: time.Second * 1})
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}
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func (e *LokiExecutor) Query(ctx context.Context, dsInfo *models.DataSource, tsdbQuery *tsdb.TsdbQuery) (*tsdb.Response, error) {
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result := &tsdb.Response{
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Results: map[string]*tsdb.QueryResult{},
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}
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client := &client.DefaultClient{
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Address: dsInfo.Url,
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Username: dsInfo.BasicAuthUser,
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Password: dsInfo.DecryptedBasicAuthPassword(),
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}
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queries, err := parseQuery(dsInfo, tsdbQuery.Queries, tsdbQuery)
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if err != nil {
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return nil, err
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}
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for _, query := range queries {
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plog.Debug("Sending query", "start", query.Start, "end", query.End, "step", query.Step, "query", query.Expr)
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span, _ := opentracing.StartSpanFromContext(ctx, "alerting.loki")
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span.SetTag("expr", query.Expr)
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span.SetTag("start_unixnano", query.Start.UnixNano())
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span.SetTag("stop_unixnano", query.End.UnixNano())
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defer span.Finish()
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//Currently hard coded as not used - applies to log queries
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limit := 1000
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//Currently hard coded as not used - applies to queries which produce a stream response
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interval := time.Second * 1
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value, err := client.QueryRange(query.Expr, limit, query.Start, query.End, logproto.BACKWARD, query.Step, interval, false)
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if err != nil {
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return nil, err
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}
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queryResult, err := parseResponse(value, query)
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if err != nil {
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return nil, err
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}
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result.Results[query.RefId] = queryResult
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}
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return result, nil
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}
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//If legend (using of name or pattern instead of time series name) is used, use that name/pattern for formatting
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func formatLegend(metric model.Metric, query *LokiQuery) string {
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if query.LegendFormat == "" {
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return metric.String()
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}
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result := legendFormat.ReplaceAllFunc([]byte(query.LegendFormat), func(in []byte) []byte {
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labelName := strings.Replace(string(in), "{{", "", 1)
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labelName = strings.Replace(labelName, "}}", "", 1)
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labelName = strings.TrimSpace(labelName)
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if val, exists := metric[model.LabelName(labelName)]; exists {
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return []byte(val)
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}
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return []byte{}
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})
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return string(result)
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}
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func parseQuery(dsInfo *models.DataSource, queries []*tsdb.Query, queryContext *tsdb.TsdbQuery) ([]*LokiQuery, error) {
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qs := []*LokiQuery{}
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for _, queryModel := range queries {
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expr, err := queryModel.Model.Get("expr").String()
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if err != nil {
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return nil, fmt.Errorf("failed to parse Expr: %v", err)
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}
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format := queryModel.Model.Get("legendFormat").MustString("")
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start, err := queryContext.TimeRange.ParseFrom()
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if err != nil {
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return nil, fmt.Errorf("failed to parse From: %v", err)
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}
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end, err := queryContext.TimeRange.ParseTo()
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if err != nil {
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return nil, fmt.Errorf("failed to parse To: %v", err)
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}
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dsInterval, err := tsdb.GetIntervalFrom(dsInfo, queryModel.Model, time.Second)
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if err != nil {
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return nil, fmt.Errorf("failed to parse Interval: %v", err)
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}
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interval := intervalCalculator.Calculate(queryContext.TimeRange, dsInterval)
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step := time.Duration(int64(interval.Value))
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qs = append(qs, &LokiQuery{
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Expr: expr,
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Step: step,
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LegendFormat: format,
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Start: start,
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End: end,
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RefId: queryModel.RefId,
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})
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}
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return qs, nil
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}
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func parseResponse(value *loghttp.QueryResponse, query *LokiQuery) (*tsdb.QueryResult, error) {
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queryRes := tsdb.NewQueryResult()
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//We are currently processing only matrix results (for alerting)
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data, ok := value.Data.Result.(loghttp.Matrix)
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if !ok {
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return queryRes, fmt.Errorf("unsupported result format: %q", value.Data.ResultType)
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}
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for _, v := range data {
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series := tsdb.TimeSeries{
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Name: formatLegend(v.Metric, query),
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Tags: make(map[string]string, len(v.Metric)),
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Points: make([]tsdb.TimePoint, 0, len(v.Values)),
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}
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for k, v := range v.Metric {
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series.Tags[string(k)] = string(v)
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}
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for _, k := range v.Values {
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series.Points = append(series.Points, tsdb.NewTimePoint(null.FloatFrom(float64(k.Value)), float64(k.Timestamp.Unix()*1000)))
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}
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queryRes.Series = append(queryRes.Series, &series)
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}
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return queryRes, nil
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}
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