677 lines
17 KiB
Go
677 lines
17 KiB
Go
package backend
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import (
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"context"
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"errors"
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"fmt"
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"math"
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"sort"
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"strings"
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"time"
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"github.com/prometheus/prometheus/pkg/labels"
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"github.com/prometheus/prometheus/promql"
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"github.com/prometheus/prometheus/promql/parser"
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"github.com/prometheus/prometheus/storage"
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"github.com/toolkits/pkg/logger"
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"github.com/didi/nightingale/v5/cache"
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"github.com/didi/nightingale/v5/models"
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"github.com/didi/nightingale/v5/vos"
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)
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const (
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LABEL_IDENT = "ident"
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LABEL_NAME = "__name__"
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DEFAULT_QL = `{__name__=~".*a.*|.*e.*"}`
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DEFAULT_STEP = 15
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)
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type commonQueryObj struct {
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Idents []string
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TagPairs []*vos.TagPair
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Metric string
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Start int64
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End int64
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MetricNameExact bool // metric_name精确匹配，在查询看图的时候为true
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From string // 调用的来源
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}
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// 为查询索引或标签相关的转换，大部分都是正则匹配
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func convertToPromql(recv *commonQueryObj) string {
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qlStr := ""
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qlStrFinal := ""
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metricName := ""
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labelIdent := ""
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labelStrSlice := make([]string, 0)
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// 匹配metric_name __name__=~"xx.*"
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if recv.Metric != "" {
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if recv.MetricNameExact {
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metricName = fmt.Sprintf(`__name__="%s"`, recv.Metric)
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} else {
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metricName = fmt.Sprintf(`__name__=~".*%s.*"`, recv.Metric)
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}
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labelStrSlice = append(labelStrSlice, metricName)
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}
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// 匹配ident=~"k1|k2"
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labelIdent = strings.Join(recv.Idents, "|")
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if labelIdent != "" {
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labelStrSlice = append(labelStrSlice, fmt.Sprintf(`ident=~"%s"`, labelIdent))
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}
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// 匹配标签
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labelM := make(map[string]string)
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for _, i := range recv.TagPairs {
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if i.Key == "" {
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continue
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}
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lastStr, _ := labelM[i.Key]
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lastStr += fmt.Sprintf(`.*%s.*|`, i.Value)
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labelM[i.Key] = lastStr
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}
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for k, v := range labelM {
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thisLabel := strings.TrimRight(v, "|")
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labelStrSlice = append(labelStrSlice, fmt.Sprintf(`%s=~"%s"`, k, thisLabel))
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}
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qlStr = strings.Join(labelStrSlice, ",")
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qlStrFinal = fmt.Sprintf(`{%s}`, qlStr)
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logger.Debugf("[convertToPromql][type=queryLabel][recv:%+v][qlStrFinal:%s]", recv, qlStrFinal)
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return qlStrFinal
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}
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// 查询数据的转换，metrics_name和标签都是精确匹配
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func convertToPromqlForQueryData(recv *commonQueryObj) string {
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qlStr := ""
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qlStrFinal := ""
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metricName := ""
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labelIdent := ""
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labelStrSlice := make([]string, 0)
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// 匹配metric_name __name__=~"xx.*"
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if recv.Metric != "" {
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metricName = fmt.Sprintf(`__name__="%s"`, recv.Metric)
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labelStrSlice = append(labelStrSlice, metricName)
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}
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// 匹配ident=~"k1|k2"
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labelIdent = strings.Join(recv.Idents, "|")
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if labelIdent != "" {
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labelStrSlice = append(labelStrSlice, fmt.Sprintf(`ident=~"%s"`, labelIdent))
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}
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// 匹配标签
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labelM := make(map[string]string)
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for _, i := range recv.TagPairs {
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if i.Key == "" {
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continue
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}
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lastStr, _ := labelM[i.Key]
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lastStr += fmt.Sprintf(`%s|`, i.Value)
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labelM[i.Key] = lastStr
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}
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for k, v := range labelM {
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thisLabel := strings.TrimRight(v, "|")
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labelStrSlice = append(labelStrSlice, fmt.Sprintf(`%s=~"%s"`, k, thisLabel))
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}
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qlStr = strings.Join(labelStrSlice, ",")
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qlStrFinal = fmt.Sprintf(`{%s}`, qlStr)
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logger.Debugf("[convertToPromql][type=queryData][recv:%+v][qlStrFinal:%s]", recv, qlStrFinal)
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return qlStrFinal
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}
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func parseMatchersParam(matchers []string) ([][]*labels.Matcher, error) {
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var matcherSets [][]*labels.Matcher
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for _, s := range matchers {
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matchers, err := parser.ParseMetricSelector(s)
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if err != nil {
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return nil, err
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}
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matcherSets = append(matcherSets, matchers)
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}
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OUTER:
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for _, ms := range matcherSets {
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for _, lm := range ms {
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if lm != nil && !lm.Matches("") {
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continue OUTER
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}
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}
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return nil, errors.New("match[] must contain at least one non-empty matcher")
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}
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return matcherSets, nil
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}
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func (pd *PromeDataSource) QueryData(inputs vos.DataQueryParam) []*vos.DataQueryResp {
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respD := make([]*vos.DataQueryResp, 0)
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for _, input := range inputs.Params {
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var qlStrFinal string
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if input.PromeQl != "" {
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qlStrFinal = input.PromeQl
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} else {
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if len(input.Idents) == 0 {
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for i := range input.TagPairs {
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if input.TagPairs[i].Key == "ident" {
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input.Idents = append(input.Idents, input.TagPairs[i].Value)
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}
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}
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}
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if len(input.Idents) == 0 && input.ClasspathId != 0 {
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if input.ClasspathPrefix == 0 {
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classpathAndRes, exists := cache.ClasspathRes.Get(input.ClasspathId)
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if exists {
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input.Idents = classpathAndRes.Res
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}
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} else {
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classpath, err := models.ClasspathGet("id=?", input.ClasspathId)
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if err != nil {
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continue
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}
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cps, _ := models.ClasspathGetsByPrefix(classpath.Path)
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for _, classpath := range cps {
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classpathAndRes, exists := cache.ClasspathRes.Get(classpath.Id)
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if exists {
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idents := classpathAndRes.Res
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input.Idents = append(input.Idents, idents...)
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}
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}
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}
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}
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cj := &commonQueryObj{
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Idents: input.Idents,
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TagPairs: input.TagPairs,
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Metric: input.Metric,
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Start: inputs.Start,
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End: inputs.End,
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MetricNameExact: true,
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}
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qlStrFinal = convertToPromqlForQueryData(cj)
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}
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logger.Debugf("[input:%+v][qlStrFinal:%s]\n", input, qlStrFinal)
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// 转化为utc时间
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startT := tsToUtcTs(inputs.Start)
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endT := tsToUtcTs(inputs.End)
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// TODO 前端传入分辨率还是后端计算，grafana和prometheus ui都是前端传入
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delta := (inputs.End - inputs.Start) / 3600
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if delta <= 0 {
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delta = 1
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}
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resolution := time.Second * time.Duration(delta*DEFAULT_STEP)
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q, err := pd.QueryEngine.NewRangeQuery(pd.Queryable, qlStrFinal, startT, endT, resolution)
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if err != nil {
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logger.Errorf("[prome_query_error][QueryData_error_may_be_parse_ql_error][args:%+v][err:%+v]", input, err)
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continue
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}
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ctx, _ := context.WithTimeout(context.Background(), time.Second*30)
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res := q.Exec(ctx)
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// TODO 将err返回给前端
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if res.Err != nil {
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logger.Errorf("[prome_query_error][rangeQuery_exec_error][args:%+v][err:%+v]", input, res.Err)
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q.Close()
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continue
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}
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mat, ok := res.Value.(promql.Matrix)
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if !ok {
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logger.Errorf("[promql.Engine.exec: invalid expression type %q]", res.Value.Type())
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q.Close()
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continue
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}
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if res.Err != nil {
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logger.Errorf("[prome_query_error][res.Matrix_error][args:%+v][err:%+v]", input, res.Err)
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q.Close()
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continue
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}
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for index, m := range mat {
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if inputs.Limit > 0 && index+1 > inputs.Limit {
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continue
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}
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tagStr := ""
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oneResp := &vos.DataQueryResp{}
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ident := m.Metric.Get(LABEL_IDENT)
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name := m.Metric.Get(LABEL_NAME)
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oneResp.Metric = name
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oneResp.Ident = ident
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// TODO 去掉point num
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pNum := len(m.Points)
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for _, p := range m.Points {
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tmpP := &vos.Point{
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Timestamp: p.T,
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Value: vos.JsonFloat(p.V),
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}
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oneResp.Values = append(oneResp.Values, tmpP)
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}
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for _, x := range m.Metric {
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if x.Name == LABEL_NAME {
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continue
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}
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tagStr += fmt.Sprintf("%s=%s,", x.Name, x.Value)
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}
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tagStr = strings.TrimRight(tagStr, ",")
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oneResp.Tags = tagStr
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oneResp.Resolution = delta * DEFAULT_STEP
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oneResp.PNum = pNum
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respD = append(respD, oneResp)
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}
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q.Close()
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}
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return respD
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}
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func tsToUtcTs(s int64) time.Time {
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return time.Unix(s, 0).UTC()
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}
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func timeParse(ts int64) time.Time {
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t := float64(ts)
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s, ns := math.Modf(t)
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ns = math.Round(ns*1000) / 1000
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return time.Unix(int64(s), int64(ns*float64(time.Second))).UTC()
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}
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func millisecondTs(t time.Time) int64 {
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return t.Unix()*1000 + int64(t.Nanosecond())/int64(time.Millisecond)
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}
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func tsToStr(timestamp int64) string {
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timeNow := time.Unix(timestamp, 0)
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return timeNow.Format("2006-01-02 15:04:05")
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}
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func (pd *PromeDataSource) CommonQuerySeries(cj *commonQueryObj) storage.SeriesSet {
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qlStrFinal := convertToPromql(cj)
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if qlStrFinal == "{}" {
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qlStrFinal = DEFAULT_QL
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reqMinute := (cj.End - cj.Start) / 60
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// 如果前端啥都没传，要限制下查询series的时间范围，防止高基础查询
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if reqMinute > pd.Section.MaxFetchAllSeriesLimitMinute {
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// 时间超长，用配置文件中的限制一下
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now := time.Now().Unix()
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cj.End = now
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cj.Start = now - pd.Section.MaxFetchAllSeriesLimitMinute*60
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logger.Debugf("[CommonQuerySeries.FetchAllSeries.LimitQueryTimeRange][start:%v][end:%v]", cj.Start, cj.End)
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}
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}
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matcherSets, err := parseMatchersParam([]string{qlStrFinal})
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if err != nil {
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logger.Errorf("[prome_query_error][parse_label_match_error][err:%+v]", err)
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return nil
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}
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now := time.Now().Unix()
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if cj.Start == 0 {
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cj.Start = now - 60*pd.Section.MaxFetchAllSeriesLimitMinute
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}
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if cj.End == 0 {
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cj.End = now
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}
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startT := millisecondTs(timeParse(cj.Start))
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endT := millisecondTs(timeParse(cj.End))
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ctx, _ := context.WithTimeout(context.Background(), time.Second*30)
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q, err := pd.Queryable.Querier(ctx, startT, endT)
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if err != nil {
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logger.Errorf("[prome_query_error][get_querier_errro]")
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return nil
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}
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logger.Debugf("[CommonQuerySeries.Result][from:%s][cj.start_ts:%+v cj.start_str:%+v SelectHints.startT:%+v][cj.end_ts:%+v cj.end_str:%+v SelectHints.endT:%+v][qlStrFinal:%s][cj:%+v]",
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cj.From,
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cj.Start,
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tsToStr(cj.Start),
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startT,
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cj.End,
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tsToStr(cj.End),
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endT,
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qlStrFinal,
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cj,
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)
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defer q.Close()
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hints := &storage.SelectHints{
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Start: startT,
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End: endT,
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Func: "series", // There is no series function, this token is used for lookups that don't need samples.
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}
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// Get all series which match matchers.
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s := q.Select(true, hints, matcherSets[0]...)
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return s
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}
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// 全部转化为 {__name__="a",label_a!="b",label_b=~"d|c",label_c!~"d"}
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// 对应prometheus 中的 /api/v1/labels
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// TODO 等待prometheus官方对 remote_read label_values 的支持
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// Implement: https://github.com/prometheus/prometheus/issues/3351
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func (pd *PromeDataSource) QueryTagKeys(recv vos.CommonTagQueryParam) *vos.TagKeyQueryResp {
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// TODO 完成标签匹配模式
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respD := &vos.TagKeyQueryResp{
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Keys: make([]string, 0),
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}
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labelNamesSet := make(map[string]struct{})
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if len(recv.Params) == 0 {
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recv.Params = append(recv.Params, vos.TagPairQueryParamOne{
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Idents: []string{},
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Metric: "",
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})
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}
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for _, x := range recv.Params {
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cj := &commonQueryObj{
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Idents: x.Idents,
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TagPairs: recv.TagPairs,
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Metric: x.Metric,
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Start: recv.Start,
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End: recv.End,
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From: "QueryTagKeys",
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}
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s := pd.CommonQuerySeries(cj)
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if s.Warnings() != nil {
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logger.Warningf("[prome_query_error][series_set_iter_error][warning:%+v]", s.Warnings())
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}
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if err := s.Err(); err != nil {
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logger.Errorf("[prome_query_error][series_set_iter_error][err:%+v]", err)
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continue
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}
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for s.Next() {
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series := s.At()
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for _, lb := range series.Labels() {
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if lb.Name == LABEL_NAME {
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continue
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}
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if recv.TagKey != "" {
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if !strings.Contains(lb.Name, recv.TagKey) {
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continue
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}
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}
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labelNamesSet[lb.Name] = struct{}{}
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}
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}
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}
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names := make([]string, 0)
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for key := range labelNamesSet {
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names = append(names, key)
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}
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sort.Strings(names)
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// 因为map中的key是无序的，必须这样才能稳定输出
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if recv.Limit > 0 && len(names) > recv.Limit {
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names = names[:recv.Limit]
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}
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respD.Keys = names
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return respD
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}
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// 对应prometheus 中的 /api/v1/label/<label_name>/values
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func (pd *PromeDataSource) QueryTagValues(recv vos.CommonTagQueryParam) *vos.TagValueQueryResp {
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labelValuesSet := make(map[string]struct{})
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if len(recv.Params) == 0 {
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recv.Params = append(recv.Params, vos.TagPairQueryParamOne{
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Idents: []string{},
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Metric: "",
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})
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}
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for _, x := range recv.Params {
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cj := &commonQueryObj{
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Idents: x.Idents,
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Metric: x.Metric,
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TagPairs: recv.TagPairs,
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Start: recv.Start,
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End: recv.End,
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From: "QueryTagValues",
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}
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s := pd.CommonQuerySeries(cj)
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if s.Warnings() != nil {
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logger.Warningf("[prome_query_error][series_set_iter_error][warning:%+v]", s.Warnings())
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}
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if err := s.Err(); err != nil {
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logger.Errorf("[prome_query_error][series_set_iter_error][err:%+v]", err)
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continue
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}
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for s.Next() {
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series := s.At()
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for _, lb := range series.Labels() {
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if lb.Name == recv.TagKey {
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if recv.TagValue != "" {
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if !strings.Contains(lb.Value, recv.TagValue) {
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continue
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}
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}
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labelValuesSet[lb.Value] = struct{}{}
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}
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}
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}
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}
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vals := make([]string, 0)
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for val := range labelValuesSet {
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vals = append(vals, val)
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}
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sort.Strings(vals)
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if recv.Limit > 0 && len(vals) > recv.Limit {
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vals = vals[:recv.Limit]
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}
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respD := &vos.TagValueQueryResp{}
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respD.Values = vals
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return respD
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}
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// 对应prometheus 中的 /api/v1/label/<label_name>/values label_name == __name__
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func (pd *PromeDataSource) QueryMetrics(recv vos.MetricQueryParam) *vos.MetricQueryResp {
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cj := &commonQueryObj{
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Idents: recv.Idents,
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Metric: recv.Metric,
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TagPairs: recv.TagPairs,
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Start: recv.Start,
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End: recv.End,
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From: "QueryMetrics",
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}
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respD := &vos.MetricQueryResp{}
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respD.Metrics = make([]string, 0)
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s := pd.CommonQuerySeries(cj)
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for _, x := range s.Warnings() {
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logger.Warningf("[prome_query_error][series_set_iter_error][warning:%+v]\n", x.Error())
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}
|
||
|
||
if err := s.Err(); err != nil {
|
||
logger.Errorf("[prome_query_error][series_set_iter_error][err:%+v]", err)
|
||
return respD
|
||
}
|
||
|
||
var sets []storage.SeriesSet
|
||
sets = append(sets, s)
|
||
set := storage.NewMergeSeriesSet(sets, storage.ChainedSeriesMerge)
|
||
labelValuesSet := make(map[string]struct{})
|
||
//for s.Next() {
|
||
for set.Next() {
|
||
series := set.At()
|
||
for _, lb := range series.Labels() {
|
||
if lb.Name == LABEL_NAME {
|
||
labelValuesSet[lb.Value] = struct{}{}
|
||
}
|
||
}
|
||
}
|
||
vals := make([]string, 0)
|
||
for val := range labelValuesSet {
|
||
vals = append(vals, val)
|
||
}
|
||
|
||
sort.Strings(vals)
|
||
|
||
if recv.Limit > 0 && len(vals) > recv.Limit {
|
||
vals = vals[:recv.Limit]
|
||
}
|
||
respD.Metrics = vals
|
||
return respD
|
||
}
|
||
|
||
// 对应prometheus 中的 /api/v1/series
|
||
func (pd *PromeDataSource) QueryTagPairs(recv vos.CommonTagQueryParam) *vos.TagPairQueryResp {
|
||
respD := &vos.TagPairQueryResp{
|
||
TagPairs: make([]string, 0),
|
||
Idents: make([]string, 0),
|
||
}
|
||
tps := make(map[string]struct{})
|
||
if len(recv.Params) == 0 {
|
||
recv.Params = append(recv.Params, vos.TagPairQueryParamOne{
|
||
Idents: []string{},
|
||
Metric: "",
|
||
})
|
||
}
|
||
for _, x := range recv.Params {
|
||
cj := &commonQueryObj{
|
||
Idents: x.Idents,
|
||
TagPairs: recv.TagPairs,
|
||
Metric: x.Metric,
|
||
Start: recv.Start,
|
||
End: recv.End,
|
||
From: "QueryTagPairs",
|
||
}
|
||
|
||
s := pd.CommonQuerySeries(cj)
|
||
if s.Warnings() != nil {
|
||
logger.Warningf("[prome_query_error][series_set_iter_error][warning:%+v]", s.Warnings())
|
||
|
||
}
|
||
|
||
if err := s.Err(); err != nil {
|
||
logger.Errorf("[prome_query_error][series_set_iter_error][err:%+v]", err)
|
||
continue
|
||
}
|
||
|
||
var sets []storage.SeriesSet
|
||
sets = append(sets, s)
|
||
set := storage.NewMergeSeriesSet(sets, storage.ChainedSeriesMerge)
|
||
|
||
labelIdents := make([]string, 0)
|
||
for set.Next() {
|
||
series := s.At()
|
||
labelsS := series.Labels()
|
||
for _, i := range labelsS {
|
||
|
||
if i.Name == LABEL_NAME {
|
||
continue
|
||
}
|
||
if i.Name == LABEL_IDENT {
|
||
labelIdents = append(labelIdents, i.Value)
|
||
}
|
||
tps[fmt.Sprintf("%s=%s", i.Name, i.Value)] = struct{}{}
|
||
}
|
||
|
||
}
|
||
|
||
}
|
||
|
||
newTags := make([]string, 0)
|
||
for k := range tps {
|
||
|
||
newTags = append(newTags, k)
|
||
}
|
||
|
||
sort.Strings(newTags)
|
||
if recv.Limit > 0 && len(newTags) > recv.Limit {
|
||
newTags = newTags[:recv.Limit]
|
||
}
|
||
|
||
respD.TagPairs = newTags
|
||
return respD
|
||
}
|
||
|
||
func (pd *PromeDataSource) QueryDataInstant(ql string) []*vos.DataQueryInstanceResp {
|
||
respD := make([]*vos.DataQueryInstanceResp, 0)
|
||
pv := pd.QueryVector(ql)
|
||
if pv == nil {
|
||
|
||
return respD
|
||
}
|
||
|
||
for _, s := range pv {
|
||
metricOne := make(map[string]interface{})
|
||
valueOne := make([]float64, 0)
|
||
|
||
for _, l := range s.Metric {
|
||
if l.Name == LABEL_NAME {
|
||
continue
|
||
}
|
||
metricOne[l.Name] = l.Value
|
||
}
|
||
// 毫秒时间时间戳转 秒时间戳
|
||
valueOne = append(valueOne, float64(s.Point.T)/1e3)
|
||
valueOne = append(valueOne, s.Point.V)
|
||
respD = append(respD, &vos.DataQueryInstanceResp{
|
||
Metric: metricOne,
|
||
Value: valueOne,
|
||
})
|
||
|
||
}
|
||
return respD
|
||
}
|
||
|
||
func (pd *PromeDataSource) QueryVector(ql string) promql.Vector {
|
||
t := time.Now()
|
||
q, err := pd.QueryEngine.NewInstantQuery(pd.Queryable, ql, t)
|
||
if err != nil {
|
||
logger.Errorf("[prome_query_error][new_insQuery_error][err:%+v][ql:%+v]", err, ql)
|
||
return nil
|
||
}
|
||
ctx := context.Background()
|
||
res := q.Exec(ctx)
|
||
if res.Err != nil {
|
||
logger.Errorf("[prome_query_error][insQuery_exec_error][err:%+v][ql:%+v]", err, ql)
|
||
return nil
|
||
}
|
||
defer q.Close()
|
||
switch v := res.Value.(type) {
|
||
case promql.Vector:
|
||
return v
|
||
case promql.Scalar:
|
||
return promql.Vector{promql.Sample{
|
||
Point: promql.Point(v),
|
||
Metric: labels.Labels{},
|
||
}}
|
||
default:
|
||
logger.Errorf("[prome_query_error][insQuery_res_error rule result is not a vector or scalar][err:%+v][ql:%+v]", err, ql)
|
||
return nil
|
||
}
|
||
|
||
}
|