mirror of
https://github.com/ClusterCockpit/cc-backend
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5a177c952d
- GPU id label in job view statistic table is always the same on multi GPU jobs #239 - Multiple accelerators listed in plot despite using only one #241
667 lines
18 KiB
Go
667 lines
18 KiB
Go
// Copyright (C) 2022 NHR@FAU, University Erlangen-Nuremberg.
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// All rights reserved.
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// Use of this source code is governed by a MIT-style
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// license that can be found in the LICENSE file.
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package metricdata
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import (
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"bufio"
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"net/http"
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"strconv"
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"strings"
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"time"
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"github.com/ClusterCockpit/cc-backend/pkg/archive"
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"github.com/ClusterCockpit/cc-backend/pkg/log"
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"github.com/ClusterCockpit/cc-backend/pkg/schema"
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)
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type CCMetricStoreConfig struct {
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Kind string `json:"kind"`
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Url string `json:"url"`
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Token string `json:"token"`
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// If metrics are known to this MetricDataRepository under a different
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// name than in the `metricConfig` section of the 'cluster.json',
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// provide this optional mapping of local to remote name for this metric.
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Renamings map[string]string `json:"metricRenamings"`
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}
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type CCMetricStore struct {
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jwt string
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url string
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queryEndpoint string
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client http.Client
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here2there map[string]string
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there2here map[string]string
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}
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type ApiQueryRequest struct {
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Cluster string `json:"cluster"`
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From int64 `json:"from"`
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To int64 `json:"to"`
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WithStats bool `json:"with-stats"`
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WithData bool `json:"with-data"`
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Queries []ApiQuery `json:"queries"`
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ForAllNodes []string `json:"for-all-nodes"`
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}
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type ApiQuery struct {
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Metric string `json:"metric"`
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Hostname string `json:"host"`
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Aggregate bool `json:"aggreg"`
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Type *string `json:"type,omitempty"`
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TypeIds []string `json:"type-ids,omitempty"`
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SubType *string `json:"subtype,omitempty"`
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SubTypeIds []string `json:"subtype-ids,omitempty"`
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}
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type ApiQueryResponse struct {
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Queries []ApiQuery `json:"queries,omitempty"`
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Results [][]ApiMetricData `json:"results"`
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}
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type ApiMetricData struct {
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Error *string `json:"error"`
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From int64 `json:"from"`
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To int64 `json:"to"`
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Data []schema.Float `json:"data"`
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Avg schema.Float `json:"avg"`
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Min schema.Float `json:"min"`
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Max schema.Float `json:"max"`
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}
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func (ccms *CCMetricStore) Init(rawConfig json.RawMessage) error {
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var config CCMetricStoreConfig
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if err := json.Unmarshal(rawConfig, &config); err != nil {
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log.Warn("Error while unmarshaling raw json config")
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return err
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}
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ccms.url = config.Url
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ccms.queryEndpoint = fmt.Sprintf("%s/api/query", config.Url)
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ccms.jwt = config.Token
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ccms.client = http.Client{
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Timeout: 10 * time.Second,
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}
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if config.Renamings != nil {
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ccms.here2there = config.Renamings
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ccms.there2here = make(map[string]string, len(config.Renamings))
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for k, v := range ccms.here2there {
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ccms.there2here[v] = k
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}
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} else {
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ccms.here2there = make(map[string]string)
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ccms.there2here = make(map[string]string)
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}
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return nil
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}
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func (ccms *CCMetricStore) toRemoteName(metric string) string {
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if renamed, ok := ccms.here2there[metric]; ok {
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return renamed
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}
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return metric
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}
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func (ccms *CCMetricStore) toLocalName(metric string) string {
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if renamed, ok := ccms.there2here[metric]; ok {
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return renamed
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}
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return metric
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}
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func (ccms *CCMetricStore) doRequest(
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ctx context.Context,
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body *ApiQueryRequest) (*ApiQueryResponse, error) {
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buf := &bytes.Buffer{}
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if err := json.NewEncoder(buf).Encode(body); err != nil {
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log.Warn("Error while encoding request body")
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return nil, err
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}
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req, err := http.NewRequestWithContext(ctx, http.MethodPost, ccms.queryEndpoint, buf)
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if err != nil {
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log.Warn("Error while building request body")
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return nil, err
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}
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if ccms.jwt != "" {
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req.Header.Add("Authorization", fmt.Sprintf("Bearer %s", ccms.jwt))
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}
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res, err := ccms.client.Do(req)
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if err != nil {
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log.Error("Error while performing request")
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return nil, err
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}
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if res.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("'%s': HTTP Status: %s", ccms.queryEndpoint, res.Status)
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}
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var resBody ApiQueryResponse
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if err := json.NewDecoder(bufio.NewReader(res.Body)).Decode(&resBody); err != nil {
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log.Warn("Error while decoding result body")
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return nil, err
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}
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return &resBody, nil
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}
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func (ccms *CCMetricStore) LoadData(
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job *schema.Job,
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metrics []string,
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scopes []schema.MetricScope,
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ctx context.Context) (schema.JobData, error) {
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queries, assignedScope, err := ccms.buildQueries(job, metrics, scopes)
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if err != nil {
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log.Warn("Error while building queries")
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return nil, err
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}
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req := ApiQueryRequest{
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Cluster: job.Cluster,
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From: job.StartTime.Unix(),
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To: job.StartTime.Add(time.Duration(job.Duration) * time.Second).Unix(),
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Queries: queries,
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WithStats: true,
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WithData: true,
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}
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resBody, err := ccms.doRequest(ctx, &req)
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if err != nil {
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log.Error("Error while performing request")
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return nil, err
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}
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var errors []string
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var jobData schema.JobData = make(schema.JobData)
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for i, row := range resBody.Results {
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query := req.Queries[i]
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metric := ccms.toLocalName(query.Metric)
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scope := assignedScope[i]
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mc := archive.GetMetricConfig(job.Cluster, metric)
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if _, ok := jobData[metric]; !ok {
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jobData[metric] = make(map[schema.MetricScope]*schema.JobMetric)
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}
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jobMetric, ok := jobData[metric][scope]
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if !ok {
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jobMetric = &schema.JobMetric{
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Unit: mc.Unit,
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Timestep: mc.Timestep,
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Series: make([]schema.Series, 0),
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}
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jobData[metric][scope] = jobMetric
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}
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for ndx, res := range row {
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if res.Error != nil {
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/* Build list for "partial errors", if any */
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errors = append(errors, fmt.Sprintf("failed to fetch '%s' from host '%s': %s", query.Metric, query.Hostname, *res.Error))
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continue
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}
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id := (*string)(nil)
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if query.Type != nil {
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id = new(string)
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*id = query.TypeIds[ndx]
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}
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if res.Avg.IsNaN() || res.Min.IsNaN() || res.Max.IsNaN() {
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// TODO: use schema.Float instead of float64?
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// This is done because regular float64 can not be JSONed when NaN.
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res.Avg = schema.Float(0)
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res.Min = schema.Float(0)
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res.Max = schema.Float(0)
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}
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jobMetric.Series = append(jobMetric.Series, schema.Series{
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Hostname: query.Hostname,
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Id: id,
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Statistics: schema.MetricStatistics{
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Avg: float64(res.Avg),
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Min: float64(res.Min),
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Max: float64(res.Max),
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},
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Data: res.Data,
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})
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}
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// So that one can later check len(jobData):
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if len(jobMetric.Series) == 0 {
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delete(jobData[metric], scope)
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if len(jobData[metric]) == 0 {
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delete(jobData, metric)
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}
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}
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}
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if len(errors) != 0 {
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/* Returns list for "partial errors" */
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return jobData, fmt.Errorf("METRICDATA/CCMS > Errors: %s", strings.Join(errors, ", "))
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}
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return jobData, nil
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}
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var (
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hwthreadString = string(schema.MetricScopeHWThread)
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coreString = string(schema.MetricScopeCore)
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memoryDomainString = string(schema.MetricScopeMemoryDomain)
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socketString = string(schema.MetricScopeSocket)
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acceleratorString = string(schema.MetricScopeAccelerator)
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)
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func (ccms *CCMetricStore) buildQueries(
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job *schema.Job,
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metrics []string,
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scopes []schema.MetricScope) ([]ApiQuery, []schema.MetricScope, error) {
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queries := make([]ApiQuery, 0, len(metrics)*len(scopes)*len(job.Resources))
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assignedScope := []schema.MetricScope{}
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subcluster, scerr := archive.GetSubCluster(job.Cluster, job.SubCluster)
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if scerr != nil {
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return nil, nil, scerr
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}
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topology := subcluster.Topology
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for _, metric := range metrics {
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remoteName := ccms.toRemoteName(metric)
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mc := archive.GetMetricConfig(job.Cluster, metric)
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if mc == nil {
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// return nil, fmt.Errorf("METRICDATA/CCMS > metric '%s' is not specified for cluster '%s'", metric, job.Cluster)
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log.Infof("metric '%s' is not specified for cluster '%s'", metric, job.Cluster)
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continue
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}
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// Avoid duplicates...
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handledScopes := make([]schema.MetricScope, 0, 3)
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scopesLoop:
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for _, requestedScope := range scopes {
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nativeScope := mc.Scope
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if nativeScope == schema.MetricScopeAccelerator && job.NumAcc == 0 {
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continue
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}
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scope := nativeScope.Max(requestedScope)
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for _, s := range handledScopes {
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if scope == s {
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continue scopesLoop
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}
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}
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handledScopes = append(handledScopes, scope)
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for _, host := range job.Resources {
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hwthreads := host.HWThreads
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if hwthreads == nil {
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hwthreads = topology.Node
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}
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// Accelerator -> Accelerator (Use "accelerator" scope if requested scope is lower than node)
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if nativeScope == schema.MetricScopeAccelerator && scope.LT(schema.MetricScopeNode) {
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if scope != schema.MetricScopeAccelerator {
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// Skip all other catched cases
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continue
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}
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: false,
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Type: &acceleratorString,
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TypeIds: host.Accelerators,
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})
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assignedScope = append(assignedScope, schema.MetricScopeAccelerator)
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continue
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}
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// Accelerator -> Node
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if nativeScope == schema.MetricScopeAccelerator && scope == schema.MetricScopeNode {
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if len(host.Accelerators) == 0 {
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continue
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}
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: true,
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Type: &acceleratorString,
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TypeIds: host.Accelerators,
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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// HWThread -> HWThead
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if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeHWThread {
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: false,
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Type: &hwthreadString,
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TypeIds: intToStringSlice(hwthreads),
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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// HWThread -> Core
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if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeCore {
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cores, _ := topology.GetCoresFromHWThreads(hwthreads)
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for _, core := range cores {
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: true,
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Type: &hwthreadString,
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TypeIds: intToStringSlice(topology.Core[core]),
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})
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assignedScope = append(assignedScope, scope)
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}
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continue
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}
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// HWThread -> Socket
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if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeSocket {
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sockets, _ := topology.GetSocketsFromHWThreads(hwthreads)
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for _, socket := range sockets {
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: true,
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Type: &hwthreadString,
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TypeIds: intToStringSlice(topology.Socket[socket]),
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})
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assignedScope = append(assignedScope, scope)
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}
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continue
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}
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// HWThread -> Node
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if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeNode {
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: true,
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Type: &hwthreadString,
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TypeIds: intToStringSlice(hwthreads),
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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// Core -> Core
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if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeCore {
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cores, _ := topology.GetCoresFromHWThreads(hwthreads)
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: false,
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Type: &coreString,
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TypeIds: intToStringSlice(cores),
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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// Core -> Node
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if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeNode {
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cores, _ := topology.GetCoresFromHWThreads(hwthreads)
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: true,
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Type: &coreString,
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TypeIds: intToStringSlice(cores),
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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// MemoryDomain -> MemoryDomain
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if nativeScope == schema.MetricScopeMemoryDomain && scope == schema.MetricScopeMemoryDomain {
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sockets, _ := topology.GetMemoryDomainsFromHWThreads(hwthreads)
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: false,
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Type: &memoryDomainString,
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TypeIds: intToStringSlice(sockets),
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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// MemoryDoman -> Node
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if nativeScope == schema.MetricScopeMemoryDomain && scope == schema.MetricScopeNode {
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sockets, _ := topology.GetMemoryDomainsFromHWThreads(hwthreads)
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: true,
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Type: &memoryDomainString,
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TypeIds: intToStringSlice(sockets),
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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// Socket -> Socket
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if nativeScope == schema.MetricScopeSocket && scope == schema.MetricScopeSocket {
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sockets, _ := topology.GetSocketsFromHWThreads(hwthreads)
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: false,
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Type: &socketString,
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TypeIds: intToStringSlice(sockets),
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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// Socket -> Node
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if nativeScope == schema.MetricScopeSocket && scope == schema.MetricScopeNode {
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sockets, _ := topology.GetSocketsFromHWThreads(hwthreads)
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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Aggregate: true,
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Type: &socketString,
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TypeIds: intToStringSlice(sockets),
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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// Node -> Node
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if nativeScope == schema.MetricScopeNode && scope == schema.MetricScopeNode {
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queries = append(queries, ApiQuery{
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Metric: remoteName,
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Hostname: host.Hostname,
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})
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assignedScope = append(assignedScope, scope)
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continue
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}
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return nil, nil, fmt.Errorf("METRICDATA/CCMS > TODO: unhandled case: native-scope=%s, requested-scope=%s", nativeScope, requestedScope)
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}
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}
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}
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return queries, assignedScope, nil
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}
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|
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func (ccms *CCMetricStore) LoadStats(
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job *schema.Job,
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metrics []string,
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ctx context.Context) (map[string]map[string]schema.MetricStatistics, error) {
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queries, _, err := ccms.buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}) // #166 Add scope shere for analysis view accelerator normalization?
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if err != nil {
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log.Warn("Error while building query")
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return nil, err
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}
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req := ApiQueryRequest{
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Cluster: job.Cluster,
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From: job.StartTime.Unix(),
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To: job.StartTime.Add(time.Duration(job.Duration) * time.Second).Unix(),
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Queries: queries,
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WithStats: true,
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WithData: false,
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}
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resBody, err := ccms.doRequest(ctx, &req)
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if err != nil {
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log.Error("Error while performing request")
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return nil, err
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}
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stats := make(map[string]map[string]schema.MetricStatistics, len(metrics))
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for i, res := range resBody.Results {
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query := req.Queries[i]
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metric := ccms.toLocalName(query.Metric)
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data := res[0]
|
|
if data.Error != nil {
|
|
log.Infof("fetching %s for node %s failed: %s", metric, query.Hostname, *data.Error)
|
|
continue
|
|
// return nil, fmt.Errorf("METRICDATA/CCMS > fetching %s for node %s failed: %s", metric, query.Hostname, *data.Error)
|
|
}
|
|
|
|
metricdata, ok := stats[metric]
|
|
if !ok {
|
|
metricdata = make(map[string]schema.MetricStatistics, job.NumNodes)
|
|
stats[metric] = metricdata
|
|
}
|
|
|
|
if data.Avg.IsNaN() || data.Min.IsNaN() || data.Max.IsNaN() {
|
|
log.Infof("fetching %s for node %s failed: one of avg/min/max is NaN", metric, query.Hostname)
|
|
continue
|
|
// return nil, fmt.Errorf("METRICDATA/CCMS > fetching %s for node %s failed: %s", metric, query.Hostname, "avg/min/max is NaN")
|
|
}
|
|
|
|
metricdata[query.Hostname] = schema.MetricStatistics{
|
|
Avg: float64(data.Avg),
|
|
Min: float64(data.Min),
|
|
Max: float64(data.Max),
|
|
}
|
|
}
|
|
|
|
return stats, nil
|
|
}
|
|
|
|
// TODO: Support sub-node-scope metrics! For this, the partition of a node needs to be known!
|
|
func (ccms *CCMetricStore) LoadNodeData(
|
|
cluster string,
|
|
metrics, nodes []string,
|
|
scopes []schema.MetricScope,
|
|
from, to time.Time,
|
|
ctx context.Context) (map[string]map[string][]*schema.JobMetric, error) {
|
|
|
|
req := ApiQueryRequest{
|
|
Cluster: cluster,
|
|
From: from.Unix(),
|
|
To: to.Unix(),
|
|
WithStats: true,
|
|
WithData: true,
|
|
}
|
|
|
|
if nodes == nil {
|
|
for _, metric := range metrics {
|
|
req.ForAllNodes = append(req.ForAllNodes, ccms.toRemoteName(metric))
|
|
}
|
|
} else {
|
|
for _, node := range nodes {
|
|
for _, metric := range metrics {
|
|
req.Queries = append(req.Queries, ApiQuery{
|
|
Hostname: node,
|
|
Metric: ccms.toRemoteName(metric),
|
|
})
|
|
}
|
|
}
|
|
}
|
|
|
|
resBody, err := ccms.doRequest(ctx, &req)
|
|
if err != nil {
|
|
log.Error("Error while performing request")
|
|
return nil, err
|
|
}
|
|
|
|
var errors []string
|
|
data := make(map[string]map[string][]*schema.JobMetric)
|
|
for i, res := range resBody.Results {
|
|
var query ApiQuery
|
|
if resBody.Queries != nil {
|
|
query = resBody.Queries[i]
|
|
} else {
|
|
query = req.Queries[i]
|
|
}
|
|
|
|
metric := ccms.toLocalName(query.Metric)
|
|
qdata := res[0]
|
|
if qdata.Error != nil {
|
|
/* Build list for "partial errors", if any */
|
|
errors = append(errors, fmt.Sprintf("fetching %s for node %s failed: %s", metric, query.Hostname, *qdata.Error))
|
|
}
|
|
|
|
if qdata.Avg.IsNaN() || qdata.Min.IsNaN() || qdata.Max.IsNaN() {
|
|
// return nil, fmt.Errorf("METRICDATA/CCMS > fetching %s for node %s failed: %s", metric, query.Hostname, "avg/min/max is NaN")
|
|
qdata.Avg, qdata.Min, qdata.Max = 0., 0., 0.
|
|
}
|
|
|
|
hostdata, ok := data[query.Hostname]
|
|
if !ok {
|
|
hostdata = make(map[string][]*schema.JobMetric)
|
|
data[query.Hostname] = hostdata
|
|
}
|
|
|
|
mc := archive.GetMetricConfig(cluster, metric)
|
|
hostdata[metric] = append(hostdata[metric], &schema.JobMetric{
|
|
Unit: mc.Unit,
|
|
Timestep: mc.Timestep,
|
|
Series: []schema.Series{
|
|
{
|
|
Hostname: query.Hostname,
|
|
Data: qdata.Data,
|
|
Statistics: schema.MetricStatistics{
|
|
Avg: float64(qdata.Avg),
|
|
Min: float64(qdata.Min),
|
|
Max: float64(qdata.Max),
|
|
},
|
|
},
|
|
},
|
|
})
|
|
}
|
|
|
|
if len(errors) != 0 {
|
|
/* Returns list of "partial errors" */
|
|
return data, fmt.Errorf("METRICDATA/CCMS > Errors: %s", strings.Join(errors, ", "))
|
|
}
|
|
|
|
return data, nil
|
|
}
|
|
|
|
func intToStringSlice(is []int) []string {
|
|
|
|
ss := make([]string, len(is))
|
|
for i, x := range is {
|
|
ss[i] = strconv.Itoa(x)
|
|
}
|
|
return ss
|
|
}
|