diff --git a/NOTICE.txt b/NOTICE.txt index 8b406108594..00d4b3a1a86 100644 --- a/NOTICE.txt +++ b/NOTICE.txt @@ -1,7 +1,7 @@ Elastic APM Server Copyright 2014-2021 Elasticsearch BV -This product includes software developed by The Apache Software +This product includes software developed by The Apache Software Foundation (http://www.apache.org/). ================================================================================ @@ -19976,13 +19976,13 @@ Contents of probable licence file $GOMODCACHE/howett.net/plist@v0.0.0-2020120308 Copyright (c) 2013, Dustin L. Howett. All rights reserved. Redistribution and use in source and binary forms, with or without -modification, are permitted provided that the following conditions are met: +modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this - list of conditions and the following disclaimer. + list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation - and/or other materials provided with the distribution. + and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED @@ -19996,7 +19996,7 @@ ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. The views and conclusions contained in the software and documentation are those -of the authors and should not be interpreted as representing official policies, +of the authors and should not be interpreted as representing official policies, either expressed or implied, of the FreeBSD Project. -------------------------------------------------------------------------------- diff --git a/apmpackage/apm/0.1.0/data_stream/app_metrics/fields/fields.yml b/apmpackage/apm/0.1.0/data_stream/app_metrics/fields/fields.yml index 4832ba8e1b7..6b9986c21e3 100644 --- a/apmpackage/apm/0.1.0/data_stream/app_metrics/fields/fields.yml +++ b/apmpackage/apm/0.1.0/data_stream/app_metrics/fields/fields.yml @@ -24,6 +24,10 @@ type: keyword description: | Kubernetes Pod UID +- name: metricset.name + type: keyword + description: | + Name of the set of metrics. - name: metricset.period type: long description: Current data collection period for this event in milliseconds. diff --git a/apmpackage/apm/0.1.0/data_stream/internal_metrics/fields/fields.yml b/apmpackage/apm/0.1.0/data_stream/internal_metrics/fields/fields.yml index c1ecd99fe7f..a9fea6291da 100644 --- a/apmpackage/apm/0.1.0/data_stream/internal_metrics/fields/fields.yml +++ b/apmpackage/apm/0.1.0/data_stream/internal_metrics/fields/fields.yml @@ -24,6 +24,10 @@ type: keyword description: | Kubernetes Pod UID +- name: metricset.name + type: keyword + description: | + Name of the set of metrics. - name: metricset.period type: long description: Current data collection period for this event in milliseconds. diff --git a/apmpackage/apm/0.1.0/docs/README.md b/apmpackage/apm/0.1.0/docs/README.md index 3a29ed0fc2e..6a699f4fda5 100644 --- a/apmpackage/apm/0.1.0/docs/README.md +++ b/apmpackage/apm/0.1.0/docs/README.md @@ -442,6 +442,7 @@ Metrics are written to `metrics-apm.app.*`, `metrics-apm.internal.*`, and `metri |kubernetes.pod.name|Kubernetes pod name|keyword| ![](https://doc-icons.s3.us-east-2.amazonaws.com/icon-no.png) | |kubernetes.pod.uid|Kubernetes Pod UID|keyword| ![](https://doc-icons.s3.us-east-2.amazonaws.com/icon-no.png) | |labels|A flat mapping of user-defined labels with string, boolean or number values.|object| ![](https://doc-icons.s3.us-east-2.amazonaws.com/icon-yes.png) | +|metricset.name|Name of the set of metrics.|keyword| ![](https://doc-icons.s3.us-east-2.amazonaws.com/icon-no.png) | |metricset.period|Current data collection period for this event in milliseconds.|long| ![](https://doc-icons.s3.us-east-2.amazonaws.com/icon-no.png) | |observer.hostname|Hostname of the APM Server.|keyword| ![](https://doc-icons.s3.us-east-2.amazonaws.com/icon-yes.png) | |observer.listening|Address the server is listening on.|keyword| ![](https://doc-icons.s3.us-east-2.amazonaws.com/icon-no.png) | diff --git a/docs/fields.asciidoc b/docs/fields.asciidoc index 6c2945746bd..3b56fd34804 100644 --- a/docs/fields.asciidoc +++ b/docs/fields.asciidoc @@ -4857,6 +4857,19 @@ type: object -- + +*`metricset.name`*:: ++ +-- +Name of the set of metrics. + + +type: keyword + +example: transaction + +-- + [float] === service diff --git a/include/fields.go b/include/fields.go index dd9d2a4eed4..f12815c29a3 100644 --- a/include/fields.go +++ b/include/fields.go @@ -32,5 +32,5 @@ func init() { // AssetBuildFieldsFieldsYml returns asset data. // This is the base64 encoded gzipped contents of build/fields/fields.yml. func AssetBuildFieldsFieldsYml() string { - return "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" + return 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" } diff --git a/model/metricset.go b/model/metricset.go index 5019962247d..fae7008d4d7 100644 --- a/model/metricset.go +++ b/model/metricset.go @@ -85,6 +85,9 @@ type Metricset struct { // instance, such as a hash of the labels used for aggregating the // metrics. TimeseriesInstanceID string + + // Name holds an optional name for the metricset. + Name string } // Sample represents a single named metric. @@ -197,6 +200,10 @@ func (me *Metricset) Transform(ctx context.Context, cfg *transform.Config) []bea fields["timeseries"] = common.MapStr{"instance": me.TimeseriesInstanceID} } + if me.Name != "" { + fields["metricset.name"] = me.Name + } + fields["processor"] = metricsetProcessorEntry if cfg.DataStreams { diff --git a/model/metricset/_meta/fields.yml b/model/metricset/_meta/fields.yml index dca6a38687f..666546d0644 100644 --- a/model/metricset/_meta/fields.yml +++ b/model/metricset/_meta/fields.yml @@ -37,6 +37,15 @@ description: > A flat mapping of user-defined labels with string, boolean or number values. + - name: metricset + type: group + fields: + - name: name + type: keyword + description: > + Name of the set of metrics. + example: transaction + - name: service type: group dynamic: false diff --git a/model/metricset_test.go b/model/metricset_test.go index 130f009a209..3992b7ca90c 100644 --- a/model/metricset_test.go +++ b/model/metricset_test.go @@ -72,6 +72,21 @@ func TestTransform(t *testing.T) { }, Msg: "Payload with empty metric.", }, + { + Metricset: &Metricset{Timestamp: timestamp, Metadata: metadata, Name: "raj"}, + Output: []common.MapStr{ + { + "data_stream.type": "metrics", + "data_stream.dataset": "apm.app.myservice", + "processor": common.MapStr{"event": "metric", "name": "metric"}, + "metricset.name": "raj", + "service": common.MapStr{ + "name": "myservice", + }, + }, + }, + Msg: "Payload with metricset name.", + }, { Metricset: &Metricset{ Metadata: metadata, diff --git a/model/modeldecoder/rumv3/metricset_test.go b/model/modeldecoder/rumv3/metricset_test.go index a2c80b991ee..45da87b0035 100644 --- a/model/modeldecoder/rumv3/metricset_test.go +++ b/model/modeldecoder/rumv3/metricset_test.go @@ -86,6 +86,7 @@ func TestDecodeMapToMetricsetModel(t *testing.T) { strings.HasPrefix(key, "Transaction") || // only set by aggregator strings.HasPrefix(key, "Event") || + key == "Name" || key == "TimeseriesInstanceID" || strings.HasPrefix(key, "Span.DestinationService") || // test Samples separately diff --git a/model/modeldecoder/v2/metricset_test.go b/model/modeldecoder/v2/metricset_test.go index a95f08747d9..c2f76441430 100644 --- a/model/modeldecoder/v2/metricset_test.go +++ b/model/modeldecoder/v2/metricset_test.go @@ -85,6 +85,7 @@ func TestDecodeMapToMetricsetModel(t *testing.T) { if strings.HasPrefix(key, "Metadata") || // only set by aggregator strings.HasPrefix(key, "Event") || + key == "Name" || key == "TimeseriesInstanceID" || key == "Transaction.Result" || key == "Transaction.Root" || diff --git a/systemtest/approvals/TestServiceDestinationAggregation.approved.json b/systemtest/approvals/TestServiceDestinationAggregation.approved.json index 72e3bb7290d..e05ba029a37 100644 --- a/systemtest/approvals/TestServiceDestinationAggregation.approved.json +++ b/systemtest/approvals/TestServiceDestinationAggregation.approved.json @@ -15,6 +15,7 @@ "metricset": { "period": 1000 }, + "metricset.name": "service_destination", "observer": { "ephemeral_id": "dynamic", "hostname": "dynamic", diff --git a/systemtest/approvals/TestTransactionAggregation.approved.json b/systemtest/approvals/TestTransactionAggregation.approved.json index 1e5ea0b9b81..ea3ad5caacf 100644 --- a/systemtest/approvals/TestTransactionAggregation.approved.json +++ b/systemtest/approvals/TestTransactionAggregation.approved.json @@ -17,6 +17,7 @@ "hostname": "beowulf", "name": "beowulf" }, + "metricset.name": "transaction", "observer": { "ephemeral_id": "dynamic", "hostname": "dynamic", @@ -71,6 +72,7 @@ "hostname": "beowulf", "name": "beowulf" }, + "metricset.name": "transaction", "observer": { "ephemeral_id": "dynamic", "hostname": "dynamic", diff --git a/systemtest/approvals/TestTransactionAggregationShutdown.approved.json b/systemtest/approvals/TestTransactionAggregationShutdown.approved.json index 6576e0568c1..3d9b2f3e3ad 100644 --- a/systemtest/approvals/TestTransactionAggregationShutdown.approved.json +++ b/systemtest/approvals/TestTransactionAggregationShutdown.approved.json @@ -17,6 +17,7 @@ "hostname": "beowulf", "name": "beowulf" }, + "metricset.name": "transaction", "observer": { "ephemeral_id": "dynamic", "hostname": "dynamic", diff --git a/x-pack/apm-server/aggregation/spanmetrics/aggregator.go b/x-pack/apm-server/aggregation/spanmetrics/aggregator.go index 2ce5e5a6b3a..d8200545f6a 100644 --- a/x-pack/apm-server/aggregation/spanmetrics/aggregator.go +++ b/x-pack/apm-server/aggregation/spanmetrics/aggregator.go @@ -19,6 +19,10 @@ import ( "github.com/elastic/beats/v7/libbeat/logp" ) +const ( + metricsetName = "service_destination" +) + // AggregatorConfig holds configuration for creating an Aggregator. type AggregatorConfig struct { // Report is a publish.Reporter for reporting metrics documents. @@ -260,6 +264,7 @@ type spanMetrics struct { func makeMetricset(timestamp time.Time, key aggregationKey, metrics spanMetrics, interval int64) model.Metricset { out := model.Metricset{ Timestamp: timestamp, + Name: metricsetName, Metadata: model.Metadata{ Service: model.Service{ Name: key.serviceName, diff --git a/x-pack/apm-server/aggregation/spanmetrics/aggregator_test.go b/x-pack/apm-server/aggregation/spanmetrics/aggregator_test.go index 877f882d49d..3fdcea74765 100644 --- a/x-pack/apm-server/aggregation/spanmetrics/aggregator_test.go +++ b/x-pack/apm-server/aggregation/spanmetrics/aggregator_test.go @@ -126,6 +126,7 @@ func TestAggregatorRun(t *testing.T) { } assert.ElementsMatch(t, []*model.Metricset{{ + Name: "service_destination", Metadata: model.Metadata{ Service: model.Service{Name: "service-A", Agent: model.Agent{Name: "java"}}, }, @@ -141,6 +142,7 @@ func TestAggregatorRun(t *testing.T) { {Name: "metricset.period", Value: 10}, }, }, { + Name: "service_destination", Metadata: model.Metadata{ Service: model.Service{Name: "service-A", Agent: model.Agent{Name: "java"}}, }, @@ -156,6 +158,7 @@ func TestAggregatorRun(t *testing.T) { {Name: "metricset.period", Value: 10}, }, }, { + Name: "service_destination", Metadata: model.Metadata{ Service: model.Service{Name: "service-A", Agent: model.Agent{Name: "java"}}, }, @@ -171,6 +174,7 @@ func TestAggregatorRun(t *testing.T) { {Name: "metricset.period", Value: 10}, }, }, { + Name: "service_destination", Metadata: model.Metadata{ Service: model.Service{Name: "service-B", Agent: model.Agent{Name: "python"}}, }, @@ -231,6 +235,7 @@ func TestAggregatorOverflow(t *testing.T) { m.Timestamp = time.Time{} assert.Equal(t, &model.Metricset{ + Name: "service_destination", Metadata: model.Metadata{ Service: model.Service{Name: "service", Agent: model.Agent{Name: "agent"}}, }, diff --git a/x-pack/apm-server/aggregation/txmetrics/aggregator.go b/x-pack/apm-server/aggregation/txmetrics/aggregator.go index f92d9267637..03090db9aa3 100644 --- a/x-pack/apm-server/aggregation/txmetrics/aggregator.go +++ b/x-pack/apm-server/aggregation/txmetrics/aggregator.go @@ -42,6 +42,8 @@ const ( // tooManyGroupsLoggerRateLimit is the maximum frequency at which // "too many groups" log messages are logged. tooManyGroupsLoggerRateLimit = time.Minute + + metricsetName = "transaction" ) // Aggregator aggregates transaction durations, periodically publishing histogram metrics. @@ -365,6 +367,7 @@ func (a *Aggregator) makeTransactionAggregationKey(tx *model.Transaction) transa func makeMetricset(key transactionAggregationKey, hash uint64, ts time.Time, counts []int64, values []float64) model.Metricset { out := model.Metricset{ Timestamp: ts, + Name: metricsetName, Metadata: model.Metadata{ Service: model.Service{ Name: key.serviceName, diff --git a/x-pack/apm-server/aggregation/txmetrics/aggregator_test.go b/x-pack/apm-server/aggregation/txmetrics/aggregator_test.go index f8ad2610166..f532aadba1c 100644 --- a/x-pack/apm-server/aggregation/txmetrics/aggregator_test.go +++ b/x-pack/apm-server/aggregation/txmetrics/aggregator_test.go @@ -113,6 +113,7 @@ func TestProcessTransformablesOverflow(t *testing.T) { m.Timestamp = time.Time{} assert.Equal(t, &model.Metricset{ + Name: "transaction", Metadata: model.Metadata{}, Transaction: model.MetricsetTransaction{ Name: "baz", @@ -288,6 +289,7 @@ func TestAggregateRepresentativeCount(t *testing.T) { m.Timestamp = time.Time{} assert.Equal(t, &model.Metricset{ + Name: "transaction", Metadata: model.Metadata{}, TimeseriesInstanceID: ":foo:1db641f187113b17", Transaction: model.MetricsetTransaction{ @@ -398,6 +400,7 @@ func TestAggregationFields(t *testing.T) { var expected []model.Metricset addExpectedCount := func(expectedCount int64) { expected = append(expected, model.Metricset{ + Name: "transaction", Metadata: input.Metadata, Event: model.MetricsetEventCategorization{ Outcome: input.Outcome,