Sampling Feature for archived and fresh data

This commit is contained in:
Aditya Ujeniya
2024-08-22 14:29:51 +02:00
parent e74e506ffe
commit ceb3a095d8
14 changed files with 358 additions and 95 deletions

View File

@@ -172,7 +172,6 @@ func cleanup() {
func TestRestApi(t *testing.T) {
restapi := setup(t)
t.Cleanup(cleanup)
testData := schema.JobData{
"load_one": map[schema.MetricScope]*schema.JobMetric{
schema.MetricScopeNode: {
@@ -189,7 +188,7 @@ func TestRestApi(t *testing.T) {
},
}
metricdata.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context) (schema.JobData, error) {
metricdata.TestLoadDataCallback = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
return testData, nil
}
@@ -341,7 +340,7 @@ func TestRestApi(t *testing.T) {
}
t.Run("CheckArchive", func(t *testing.T) {
data, err := metricdata.LoadData(stoppedJob, []string{"load_one"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background())
data, err := metricdata.LoadData(stoppedJob, []string{"load_one"}, []schema.MetricScope{schema.MetricScopeNode}, context.Background(), 60)
if err != nil {
t.Fatal(err)
}

View File

@@ -514,8 +514,15 @@ func (api *RestApi) getCompleteJobById(rw http.ResponseWriter, r *http.Request)
var data schema.JobData
metricConfigs := archive.GetCluster(job.Cluster).MetricConfig
resolution := 0
for _, mc := range metricConfigs {
resolution = max(resolution, mc.Timestep)
}
if r.URL.Query().Get("all-metrics") == "true" {
data, err = metricdata.LoadData(job, nil, scopes, r.Context())
data, err = metricdata.LoadData(job, nil, scopes, r.Context(), resolution)
if err != nil {
log.Warn("Error while loading job data")
return
@@ -604,7 +611,14 @@ func (api *RestApi) getJobById(rw http.ResponseWriter, r *http.Request) {
scopes = []schema.MetricScope{"node"}
}
data, err := metricdata.LoadData(job, metrics, scopes, r.Context())
metricConfigs := archive.GetCluster(job.Cluster).MetricConfig
resolution := 0
for _, mc := range metricConfigs {
resolution = max(resolution, mc.Timestep)
}
data, err := metricdata.LoadData(job, metrics, scopes, r.Context(), resolution)
if err != nil {
log.Warn("Error while loading job data")
return

View File

@@ -237,7 +237,7 @@ func (r *queryResolver) JobMetrics(ctx context.Context, id string, metrics []str
}
log.Debugf(">>>>> REQUEST DATA HERE FOR %v AT SCOPE %v WITH RESOLUTION OF %d", metrics, scopes, *resolution)
data, err := metricdata.LoadData(job, metrics, scopes, ctx)
data, err := metricdata.LoadData(job, metrics, scopes, ctx, *resolution)
if err != nil {
log.Warn("Error while loading job data")
return nil, err

View File

@@ -12,6 +12,7 @@ import (
"github.com/99designs/gqlgen/graphql"
"github.com/ClusterCockpit/cc-backend/internal/graph/model"
"github.com/ClusterCockpit/cc-backend/internal/metricdata"
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
// "github.com/ClusterCockpit/cc-backend/pkg/archive"
@@ -47,7 +48,14 @@ func (r *queryResolver) rooflineHeatmap(
continue
}
jobdata, err := metricdata.LoadData(job, []string{"flops_any", "mem_bw"}, []schema.MetricScope{schema.MetricScopeNode}, ctx)
metricConfigs := archive.GetCluster(job.Cluster).MetricConfig
resolution := 0
for _, mc := range metricConfigs {
resolution = max(resolution, mc.Timestep)
}
jobdata, err := metricdata.LoadData(job, []string{"flops_any", "mem_bw"}, []schema.MetricScope{schema.MetricScopeNode}, ctx, resolution)
if err != nil {
log.Errorf("Error while loading roofline metrics for job %d", job.ID)
return nil, err

View File

@@ -55,6 +55,7 @@ type ApiQuery struct {
SubType *string `json:"subtype,omitempty"`
Metric string `json:"metric"`
Hostname string `json:"host"`
Resolution int `json:"resolution"`
TypeIds []string `json:"type-ids,omitempty"`
SubTypeIds []string `json:"subtype-ids,omitempty"`
Aggregate bool `json:"aggreg"`
@@ -66,13 +67,14 @@ type ApiQueryResponse struct {
}
type ApiMetricData struct {
Error *string `json:"error"`
Data []schema.Float `json:"data"`
From int64 `json:"from"`
To int64 `json:"to"`
Avg schema.Float `json:"avg"`
Min schema.Float `json:"min"`
Max schema.Float `json:"max"`
Error *string `json:"error"`
Data []schema.Float `json:"data"`
From int64 `json:"from"`
To int64 `json:"to"`
Resolution int `json:"resolution"`
Avg schema.Float `json:"avg"`
Min schema.Float `json:"min"`
Max schema.Float `json:"max"`
}
func (ccms *CCMetricStore) Init(rawConfig json.RawMessage) error {
@@ -83,7 +85,7 @@ func (ccms *CCMetricStore) Init(rawConfig json.RawMessage) error {
}
ccms.url = config.Url
ccms.queryEndpoint = fmt.Sprintf("%s/api/query", config.Url)
ccms.queryEndpoint = fmt.Sprintf("%s/api/query/", config.Url)
ccms.jwt = config.Token
ccms.client = http.Client{
Timeout: 10 * time.Second,
@@ -129,7 +131,7 @@ func (ccms *CCMetricStore) doRequest(
return nil, err
}
req, err := http.NewRequestWithContext(ctx, http.MethodPost, ccms.queryEndpoint, buf)
req, err := http.NewRequestWithContext(ctx, http.MethodGet, ccms.queryEndpoint, buf)
if err != nil {
log.Warn("Error while building request body")
return nil, err
@@ -162,8 +164,9 @@ func (ccms *CCMetricStore) LoadData(
metrics []string,
scopes []schema.MetricScope,
ctx context.Context,
resolution int,
) (schema.JobData, error) {
queries, assignedScope, err := ccms.buildQueries(job, metrics, scopes)
queries, assignedScope, err := ccms.buildQueries(job, metrics, scopes, resolution)
if err != nil {
log.Warn("Error while building queries")
return nil, err
@@ -196,10 +199,11 @@ func (ccms *CCMetricStore) LoadData(
}
jobMetric, ok := jobData[metric][scope]
if !ok {
jobMetric = &schema.JobMetric{
Unit: mc.Unit,
Timestep: mc.Timestep,
Timestep: row[0].Resolution,
Series: make([]schema.Series, 0),
}
jobData[metric][scope] = jobMetric
@@ -251,7 +255,6 @@ func (ccms *CCMetricStore) LoadData(
/* Returns list for "partial errors" */
return jobData, fmt.Errorf("METRICDATA/CCMS > Errors: %s", strings.Join(errors, ", "))
}
return jobData, nil
}
@@ -267,6 +270,7 @@ func (ccms *CCMetricStore) buildQueries(
job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
resolution int,
) ([]ApiQuery, []schema.MetricScope, error) {
queries := make([]ApiQuery, 0, len(metrics)*len(scopes)*len(job.Resources))
assignedScope := []schema.MetricScope{}
@@ -318,11 +322,12 @@ func (ccms *CCMetricStore) buildQueries(
}
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &acceleratorString,
TypeIds: host.Accelerators,
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &acceleratorString,
TypeIds: host.Accelerators,
Resolution: resolution,
})
assignedScope = append(assignedScope, schema.MetricScopeAccelerator)
continue
@@ -335,11 +340,12 @@ func (ccms *CCMetricStore) buildQueries(
}
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &acceleratorString,
TypeIds: host.Accelerators,
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &acceleratorString,
TypeIds: host.Accelerators,
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -348,11 +354,12 @@ func (ccms *CCMetricStore) buildQueries(
// HWThread -> HWThead
if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeHWThread {
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &hwthreadString,
TypeIds: intToStringSlice(hwthreads),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &hwthreadString,
TypeIds: intToStringSlice(hwthreads),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -363,11 +370,12 @@ func (ccms *CCMetricStore) buildQueries(
cores, _ := topology.GetCoresFromHWThreads(hwthreads)
for _, core := range cores {
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &hwthreadString,
TypeIds: intToStringSlice(topology.Core[core]),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &hwthreadString,
TypeIds: intToStringSlice(topology.Core[core]),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
}
@@ -379,11 +387,12 @@ func (ccms *CCMetricStore) buildQueries(
sockets, _ := topology.GetSocketsFromHWThreads(hwthreads)
for _, socket := range sockets {
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &hwthreadString,
TypeIds: intToStringSlice(topology.Socket[socket]),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &hwthreadString,
TypeIds: intToStringSlice(topology.Socket[socket]),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
}
@@ -393,11 +402,12 @@ func (ccms *CCMetricStore) buildQueries(
// HWThread -> Node
if nativeScope == schema.MetricScopeHWThread && scope == schema.MetricScopeNode {
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &hwthreadString,
TypeIds: intToStringSlice(hwthreads),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &hwthreadString,
TypeIds: intToStringSlice(hwthreads),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -407,11 +417,12 @@ func (ccms *CCMetricStore) buildQueries(
if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeCore {
cores, _ := topology.GetCoresFromHWThreads(hwthreads)
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &coreString,
TypeIds: intToStringSlice(cores),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &coreString,
TypeIds: intToStringSlice(cores),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -421,11 +432,12 @@ func (ccms *CCMetricStore) buildQueries(
if nativeScope == schema.MetricScopeCore && scope == schema.MetricScopeNode {
cores, _ := topology.GetCoresFromHWThreads(hwthreads)
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &coreString,
TypeIds: intToStringSlice(cores),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &coreString,
TypeIds: intToStringSlice(cores),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -435,11 +447,12 @@ func (ccms *CCMetricStore) buildQueries(
if nativeScope == schema.MetricScopeMemoryDomain && scope == schema.MetricScopeMemoryDomain {
sockets, _ := topology.GetMemoryDomainsFromHWThreads(hwthreads)
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &memoryDomainString,
TypeIds: intToStringSlice(sockets),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &memoryDomainString,
TypeIds: intToStringSlice(sockets),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -449,11 +462,12 @@ func (ccms *CCMetricStore) buildQueries(
if nativeScope == schema.MetricScopeMemoryDomain && scope == schema.MetricScopeNode {
sockets, _ := topology.GetMemoryDomainsFromHWThreads(hwthreads)
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &memoryDomainString,
TypeIds: intToStringSlice(sockets),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &memoryDomainString,
TypeIds: intToStringSlice(sockets),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -463,11 +477,12 @@ func (ccms *CCMetricStore) buildQueries(
if nativeScope == schema.MetricScopeSocket && scope == schema.MetricScopeSocket {
sockets, _ := topology.GetSocketsFromHWThreads(hwthreads)
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &socketString,
TypeIds: intToStringSlice(sockets),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: false,
Type: &socketString,
TypeIds: intToStringSlice(sockets),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -477,11 +492,12 @@ func (ccms *CCMetricStore) buildQueries(
if nativeScope == schema.MetricScopeSocket && scope == schema.MetricScopeNode {
sockets, _ := topology.GetSocketsFromHWThreads(hwthreads)
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &socketString,
TypeIds: intToStringSlice(sockets),
Metric: remoteName,
Hostname: host.Hostname,
Aggregate: true,
Type: &socketString,
TypeIds: intToStringSlice(sockets),
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -490,8 +506,9 @@ func (ccms *CCMetricStore) buildQueries(
// Node -> Node
if nativeScope == schema.MetricScopeNode && scope == schema.MetricScopeNode {
queries = append(queries, ApiQuery{
Metric: remoteName,
Hostname: host.Hostname,
Metric: remoteName,
Hostname: host.Hostname,
Resolution: resolution,
})
assignedScope = append(assignedScope, scope)
continue
@@ -510,7 +527,15 @@ func (ccms *CCMetricStore) LoadStats(
metrics []string,
ctx context.Context,
) (map[string]map[string]schema.MetricStatistics, error) {
queries, _, err := ccms.buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}) // #166 Add scope shere for analysis view accelerator normalization?
metricConfigs := archive.GetCluster(job.Cluster).MetricConfig
resolution := 9000
for _, mc := range metricConfigs {
resolution = min(resolution, mc.Timestep)
}
queries, _, err := ccms.buildQueries(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, resolution) // #166 Add scope shere for analysis view accelerator normalization?
if err != nil {
log.Warn("Error while building query")
return nil, err

View File

@@ -60,7 +60,8 @@ func (idb *InfluxDBv2DataRepository) LoadData(
job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
ctx context.Context) (schema.JobData, error) {
ctx context.Context,
resolution int) (schema.JobData, error) {
measurementsConds := make([]string, 0, len(metrics))
for _, m := range metrics {

View File

@@ -15,6 +15,7 @@ import (
"github.com/ClusterCockpit/cc-backend/pkg/archive"
"github.com/ClusterCockpit/cc-backend/pkg/log"
"github.com/ClusterCockpit/cc-backend/pkg/lrucache"
"github.com/ClusterCockpit/cc-backend/pkg/resampler"
"github.com/ClusterCockpit/cc-backend/pkg/schema"
)
@@ -24,7 +25,7 @@ type MetricDataRepository interface {
Init(rawConfig json.RawMessage) error
// Return the JobData for the given job, only with the requested metrics.
LoadData(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context) (schema.JobData, error)
LoadData(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error)
// Return a map of metrics to a map of nodes to the metric statistics of the job. node scope assumed for now.
LoadStats(job *schema.Job, metrics []string, ctx context.Context) (map[string]map[string]schema.MetricStatistics, error)
@@ -80,8 +81,9 @@ func LoadData(job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
ctx context.Context,
resolution int,
) (schema.JobData, error) {
data := cache.Get(cacheKey(job, metrics, scopes), func() (_ interface{}, ttl time.Duration, size int) {
data := cache.Get(cacheKey(job, metrics, scopes, resolution), func() (_ interface{}, ttl time.Duration, size int) {
var jd schema.JobData
var err error
@@ -106,7 +108,7 @@ func LoadData(job *schema.Job,
}
}
jd, err = repo.LoadData(job, metrics, scopes, ctx)
jd, err = repo.LoadData(job, metrics, scopes, ctx, resolution)
if err != nil {
if len(jd) != 0 {
log.Warnf("partial error: %s", err.Error())
@@ -118,12 +120,31 @@ func LoadData(job *schema.Job,
}
size = jd.Size()
} else {
jd, err = archive.GetHandle().LoadJobData(job)
var jd_temp schema.JobData
jd_temp, err = archive.GetHandle().LoadJobData(job)
if err != nil {
log.Error("Error while loading job data from archive")
return err, 0, 0
}
//Deep copy the cached arhive hashmap
jd = DeepCopy(jd_temp)
//Resampling for archived data.
//Pass the resolution from frontend here.
for _, v := range jd {
for _, v_ := range v {
timestep := 0
for i := 0; i < len(v_.Series); i += 1 {
v_.Series[i].Data, timestep, err = resampler.LargestTriangleThreeBucket(v_.Series[i].Data, v_.Timestep, resolution)
if err != nil {
return err, 0, 0
}
}
v_.Timestep = timestep
}
}
// Avoid sending unrequested data to the client:
if metrics != nil || scopes != nil {
if metrics == nil {
@@ -254,11 +275,12 @@ func cacheKey(
job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
resolution int,
) string {
// Duration and StartTime do not need to be in the cache key as StartTime is less unique than
// job.ID and the TTL of the cache entry makes sure it does not stay there forever.
return fmt.Sprintf("%d(%s):[%v],[%v]",
job.ID, job.State, metrics, scopes)
return fmt.Sprintf("%d(%s):[%v],[%v]-%d",
job.ID, job.State, metrics, scopes, resolution)
}
// For /monitoring/job/<job> and some other places, flops_any and mem_bw need
@@ -297,8 +319,11 @@ func prepareJobData(
func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.JobMeta, error) {
allMetrics := make([]string, 0)
metricConfigs := archive.GetCluster(job.Cluster).MetricConfig
resolution := 0
for _, mc := range metricConfigs {
allMetrics = append(allMetrics, mc.Name)
resolution = mc.Timestep
}
// TODO: Talk about this! What resolutions to store data at...
@@ -311,7 +336,7 @@ func ArchiveJob(job *schema.Job, ctx context.Context) (*schema.JobMeta, error) {
scopes = append(scopes, schema.MetricScopeAccelerator)
}
jobData, err := LoadData(job, allMetrics, scopes, ctx)
jobData, err := LoadData(job, allMetrics, scopes, ctx, resolution)
if err != nil {
log.Error("Error wile loading job data for archiving")
return nil, err

View File

@@ -265,6 +265,7 @@ func (pdb *PrometheusDataRepository) LoadData(
metrics []string,
scopes []schema.MetricScope,
ctx context.Context,
resolution int,
) (schema.JobData, error) {
// TODO respect requested scope
if len(scopes) == 0 || !contains(scopes, schema.MetricScopeNode) {
@@ -356,7 +357,7 @@ func (pdb *PrometheusDataRepository) LoadStats(
// map of metrics of nodes of stats
stats := map[string]map[string]schema.MetricStatistics{}
data, err := pdb.LoadData(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, ctx)
data, err := pdb.LoadData(job, metrics, []schema.MetricScope{schema.MetricScopeNode}, ctx, 0 /*resolution here*/)
if err != nil {
log.Warn("Error while loading job for stats")
return nil, err

View File

@@ -12,7 +12,7 @@ import (
"github.com/ClusterCockpit/cc-backend/pkg/schema"
)
var TestLoadDataCallback func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context) (schema.JobData, error) = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context) (schema.JobData, error) {
var TestLoadDataCallback func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) = func(job *schema.Job, metrics []string, scopes []schema.MetricScope, ctx context.Context, resolution int) (schema.JobData, error) {
panic("TODO")
}
@@ -27,9 +27,10 @@ func (tmdr *TestMetricDataRepository) LoadData(
job *schema.Job,
metrics []string,
scopes []schema.MetricScope,
ctx context.Context) (schema.JobData, error) {
ctx context.Context,
resolution int) (schema.JobData, error) {
return TestLoadDataCallback(job, metrics, scopes, ctx)
return TestLoadDataCallback(job, metrics, scopes, ctx, resolution)
}
func (tmdr *TestMetricDataRepository) LoadStats(
@@ -48,3 +49,41 @@ func (tmdr *TestMetricDataRepository) LoadNodeData(
panic("TODO")
}
func DeepCopy(jd_temp schema.JobData) schema.JobData {
var jd schema.JobData
jd = make(schema.JobData, len(jd_temp))
for k, v := range jd_temp {
jd[k] = make(map[schema.MetricScope]*schema.JobMetric, len(jd_temp[k]))
for k_, v_ := range v {
jd[k][k_] = new(schema.JobMetric)
jd[k][k_].Series = make([]schema.Series, len(v_.Series))
for i := 0; i < len(v_.Series); i += 1 {
jd[k][k_].Series[i].Data = make([]schema.Float, len(v_.Series[i].Data))
copy(jd[k][k_].Series[i].Data, v_.Series[i].Data)
jd[k][k_].Series[i].Hostname = v_.Series[i].Hostname
jd[k][k_].Series[i].Id = v_.Series[i].Id
jd[k][k_].Series[i].Statistics.Avg = v_.Series[i].Statistics.Avg
jd[k][k_].Series[i].Statistics.Min = v_.Series[i].Statistics.Min
jd[k][k_].Series[i].Statistics.Max = v_.Series[i].Statistics.Max
}
jd[k][k_].Timestep = v_.Timestep
jd[k][k_].Unit.Base = v_.Unit.Base
jd[k][k_].Unit.Prefix = v_.Unit.Prefix
if v_.StatisticsSeries != nil {
jd[k][k_].StatisticsSeries = new(schema.StatsSeries)
copy(jd[k][k_].StatisticsSeries.Max, v_.StatisticsSeries.Max)
copy(jd[k][k_].StatisticsSeries.Min, v_.StatisticsSeries.Min)
copy(jd[k][k_].StatisticsSeries.Median, v_.StatisticsSeries.Median)
copy(jd[k][k_].StatisticsSeries.Mean, v_.StatisticsSeries.Mean)
for k__, v__ := range v_.StatisticsSeries.Percentiles {
jd[k][k_].StatisticsSeries.Percentiles[k__] = v__
}
} else {
jd[k][k_].StatisticsSeries = v_.StatisticsSeries
}
}
}
return jd
}