[ES|QL] Support set of submetrics in agg metric double

Author: limotova

x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/action/EsqlCapabilities.java

@@ -791,7 +791,12 @@ public enum Cap {
         /**
          * Support for aggregate_metric_double type
          */
-        AGGREGATE_METRIC_DOUBLE(AGGREGATE_METRIC_DOUBLE_FEATURE_FLAG.isEnabled());
+        AGGREGATE_METRIC_DOUBLE(AGGREGATE_METRIC_DOUBLE_FEATURE_FLAG),
+
+        /**
+         * Support for partial subset of metrics in aggregate_metric_double type
+         */
+        AGGREGATE_METRIC_DOUBLE_PARTIAL_SUBMETRICS(AGGREGATE_METRIC_DOUBLE_FEATURE_FLAG);
 
         private final boolean enabled;
 

x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/planner/AggregateMapper.java

@@ -48,7 +48,6 @@
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
-import java.util.Objects;
 import java.util.stream.Collectors;
 import java.util.stream.Stream;
 
@@ -200,9 +199,6 @@ private static Stream<AggDef> aggDefs(Class<?> clazz) {
             if (clazz.isAssignableFrom(Rate.class)) {
                 // rate doesn't support non-grouping aggregations
                 return Stream.of(new AggDef(clazz, type, extra, true));
-            } else if (Objects.equals(type, "AggregateMetricDouble")) {
-                // TODO: support grouping aggregations for aggregate metric double
-                return Stream.of(new AggDef(clazz, type, extra, false));
             } else {
                 return Stream.of(new AggDef(clazz, type, extra, true), new AggDef(clazz, type, extra, false));
             }

x-pack/plugin/mapper-aggregate-metric/src/main/java/org/elasticsearch/xpack/aggregatemetric/mapper/AggregateMetricDoubleFieldMapper.java

@@ -540,9 +540,6 @@ public AllReader reader(LeafReaderContext context) throws IOException {
                 NumericDocValues sumValues = getNumericDocValues(sumFieldType, context.reader());
                 NumericDocValues valueCountValues = getNumericDocValues(countFieldType, context.reader());
 
-                if (minValues == null || maxValues == null || sumValues == null || valueCountValues == null) {
-                    throw new UnsupportedOperationException("Must have all subfields to use aggregate double metric in ESQL");
-                }
                 return new BlockDocValuesReader() {
 
                     private int docID = -1;
@@ -576,13 +573,13 @@ private void copyDoubleValuesToBuilder(Docs docs, BlockLoader.DoubleBuilder buil
                             if (doc < lastDoc) {
                                 throw new IllegalStateException("docs within same block must be in order");
                             }
-                            if (values.advanceExact(doc)) {
+                            if (values == null || values.advanceExact(doc) == false) {
+                                builder.appendNull();
+                            } else {
                                 double value = NumericUtils.sortableLongToDouble(values.longValue());
                                 lastDoc = doc;
                                 this.docID = doc;
                                 builder.appendDouble(value);
-                            } else {
-                                builder.appendNull();
                             }
                         }
                     }
@@ -595,13 +592,13 @@ private void copyIntValuesToBuilder(Docs docs, BlockLoader.IntBuilder builder, N
                             if (doc < lastDoc) {
                                 throw new IllegalStateException("docs within same block must be in order");
                             }
-                            if (values.advanceExact(doc)) {
+                            if (values == null || values.advanceExact(doc) == false) {
+                                builder.appendNull();
+                            } else {
                                 int value = Math.toIntExact(values.longValue());
                                 lastDoc = doc;
                                 this.docID = doc;
                                 builder.appendInt(value);
-                            } else {
-                                builder.appendNull();
                             }
                         }
                     }
@@ -610,10 +607,10 @@ private void copyIntValuesToBuilder(Docs docs, BlockLoader.IntBuilder builder, N
                     public void read(int docId, StoredFields storedFields, Builder builder) throws IOException {
                         var blockBuilder = (AggregateMetricDoubleBuilder) builder;
                         this.docID = docId;
-                        read(docId, blockBuilder);
+                        readSingleRow(docId, blockBuilder);
                     }
 
-                    private void read(int docId, AggregateMetricDoubleBuilder builder) throws IOException {
+                    private void readSingleRow(int docId, AggregateMetricDoubleBuilder builder) throws IOException {
                         if (minValues.advanceExact(docId)) {
                             builder.min().appendDouble(NumericUtils.sortableLongToDouble(minValues.longValue()));
                         } else {

x-pack/plugin/src/yamlRestTest/resources/rest-api-spec/test/esql/40_tsdb.yml

@@ -80,7 +80,6 @@ setup:
                 time_series_dimension: true
               agg_metric:
                 type: aggregate_metric_double
-                # TODO: tests with a subset of metrics
                 metrics: [ min, max, sum, value_count ]
                 default_metric: max
               k8s:
@@ -102,6 +101,80 @@ setup:
           - '{"@timestamp": "2021-04-28T18:50:04.467Z", "dim": "A", "agg_metric": {"max": 10, "min": -1, "sum": 20, "value_count": 5}}'
           - '{"index": {}}'
           - '{"@timestamp": "2021-04-28T18:50:24.467Z", "dim": "B", "agg_metric": {"max": 20, "min": 3, "sum": 50, "value_count": 7}}'
+          - '{"index": {}}'
+          - '{"@timestamp": "2021-04-28T18:50:44.467Z", "dim": "B", "agg_metric": {"max": 17, "min": -5, "sum": 33, "value_count": 9}}'
+
+  - do:
+      indices.create:
+        index: test3
+        body:
+          settings:
+            index:
+              mode: time_series
+              routing_path: [ k8s.pod.uid ]
+              time_series:
+                start_time: 2021-04-28T00:00:00Z
+                end_time: 2021-04-29T00:00:00Z
+          mappings:
+            properties:
+              "@timestamp":
+                type: date
+              agg_metric:
+                type: aggregate_metric_double
+                metrics: [ min, max ]
+                default_metric: min
+              k8s:
+                properties:
+                  pod:
+                    properties:
+                      uid:
+                        type: keyword
+                        time_series_dimension: true
+  - do:
+      bulk:
+        refresh: true
+        index: test3
+        body:
+          - '{"index": {}}'
+          - '{"@timestamp": "2021-04-28T19:50:04.467Z", "agg_metric": {"max": 1, "min": -3}, "k8s": {"pod": {"uid":"947e4ced-1786-4e53-9e0c-5c447e959507"}}}'
+          - '{"index": {}}'
+          - '{"@timestamp": "2021-04-28T19:50:24.467Z", "agg_metric": {"max": 10, "min": 3}, "k8s": {"pod": {"uid":"947e4ced-1786-4e53-9e0c-5c447e959507"}}}'
+          - '{"index": {}}'
+          - '{"@timestamp": "2021-04-28T19:50:44.467Z", "agg_metric": {"max": 17, "min": 2}, "k8s": {"pod": {"uid":"df3145b3-0563-4d3b-a0f7-897eb2876ea9"}}}'
+
+  - do:
+      indices.create:
+        index: test4
+        body:
+          settings:
+            index:
+              mode: time_series
+              routing_path: [ k8s.pod.uid ]
+              time_series:
+                start_time: 2021-04-28T00:00:00Z
+                end_time: 2021-04-29T00:00:00Z
+          mappings:
+            properties:
+              "@timestamp":
+                type: date
+              agg_metric:
+                type: aggregate_metric_double
+                metrics: [ sum, value_count ]
+                default_metric: sum
+              k8s:
+                properties:
+                  pod:
+                    properties:
+                      uid:
+                        type: keyword
+                        time_series_dimension: true
+  - do:
+      bulk:
+        refresh: true
+        index: test4
+        body:
+          - '{"index": {}}'
+          - '{"@timestamp": "2021-04-28T23:50:04.467Z", "agg_metric": {"sum": 1, "value_count": 10}, "k8s": {"pod": {"uid":"947e4ced-1786-4e53-9e0c-5c447e959507"}}}'
 
 ---
 load everything:
@@ -226,7 +299,7 @@ from doc with aggregate_metric_double:
   - match: {columns.3.type: "ip"}
   - match: {columns.4.name: "k8s.pod.network.tx"}
   - match: {columns.4.type: "long"}
-  - length: {values: 2}
+  - length: {values: 3}
 
 ---
 stats on aggregate_metric_double:
@@ -255,9 +328,122 @@ stats on aggregate_metric_double:
   - match: {columns.3.name: "count(agg_metric)"}
   - match: {columns.3.type: "long"}
   - match: {values.0.0: 20.0}
+  - match: {values.0.1: -5.0}
+  - match: {values.0.2: 103.0}
+  - match: {values.0.3: 21.0}
+
+---
+grouping stats on aggregate_metric_double:
+  - requires:
+      test_runner_features: [capabilities]
+      capabilities:
+        - method: POST
+          path: /_query
+          parameters: []
+          capabilities: [aggregate_metric_double]
+      reason: "Support for aggregate_metric_double"
+  - do:
+      allowed_warnings_regex:
+        - "No limit defined, adding default limit of \\[.*\\]"
+      esql.query:
+        body:
+          query: "FROM test2
+          | STATS max(agg_metric), min(agg_metric), sum(agg_metric), count(agg_metric) BY dim
+          | SORT dim"
+  - length: {values: 2}
+  - length: {values.0: 5}
+  - match: {columns.0.name: "max(agg_metric)"}
+  - match: {columns.0.type: "double"}
+  - match: {columns.1.name: "min(agg_metric)"}
+  - match: {columns.1.type: "double"}
+  - match: {columns.2.name: "sum(agg_metric)"}
+  - match: {columns.2.type: "double"}
+  - match: {columns.3.name: "count(agg_metric)"}
+  - match: {columns.3.type: "long"}
+  - match: {columns.4.name: "dim"}
+  - match: {columns.4.type: "keyword"}
+  - match: {values.0.0: 10.0}
   - match: {values.0.1: -1.0}
-  - match: {values.0.2: 70.0}
-  - match: {values.0.3: 12.0}
+  - match: {values.0.2: 20.0}
+  - match: {values.0.3: 5.0}
+  - match: {values.0.4: "A"}
+  - match: {values.1.0: 20.0}
+  - match: {values.1.1: -5.0}
+  - match: {values.1.2: 83.0}
+  - match: {values.1.3: 16.0}
+  - match: {values.1.4: "B"}
+
+---
+stats on aggregate_metric_double with partial submetrics:
+  - requires:
+      test_runner_features: [capabilities]
+      capabilities:
+        - method: POST
+          path: /_query
+          parameters: []
+          capabilities: [aggregate_metric_double_partial_submetrics]
+      reason: "Support for partial submetrics in aggregate_metric_double"
+  - do:
+      allowed_warnings_regex:
+        - "No limit defined, adding default limit of \\[.*\\]"
+      esql.query:
+        body:
+          query: 'FROM test3 | STATS max(agg_metric), min(agg_metric), sum(agg_metric), count(agg_metric) BY k8s.pod.uid | SORT k8s.pod.uid'
+
+  - length: {values: 2}
+  - length: {values.0: 5}
+  - match: {columns.0.name: "max(agg_metric)"}
+  - match: {columns.0.type: "double"}
+  - match: {columns.1.name: "min(agg_metric)"}
+  - match: {columns.1.type: "double"}
+  - match: {columns.2.name: "sum(agg_metric)"}
+  - match: {columns.2.type: "double"}
+  - match: {columns.3.name: "count(agg_metric)"}
+  - match: {columns.3.type: "long"}
+  - match: {columns.4.name: "k8s.pod.uid"}
+  - match: {columns.4.type: "keyword"}
+  - match: {values.0.0: 10.0}
+  - match: {values.0.1: -3.0}
+  - match: {values.0.2: null}
+  - match: {values.0.3: null}
+  - match: {values.0.4: "947e4ced-1786-4e53-9e0c-5c447e959507"}
+  - match: {values.1.0: 17.0}
+  - match: {values.1.1: 2.0}
+  - match: {values.1.2: null}
+  - match: {values.1.3: null}
+  - match: {values.1.4: "df3145b3-0563-4d3b-a0f7-897eb2876ea9"}
+
+---
+stats on aggregate_metric_double missing min and max:
+  - requires:
+      test_runner_features: [ capabilities ]
+      capabilities:
+        - method: POST
+          path: /_query
+          parameters: [ ]
+          capabilities: [ aggregate_metric_double_partial_submetrics ]
+      reason: "Support for partial submetrics in aggregate_metric_double"
+  - do:
+      allowed_warnings_regex:
+        - "No limit defined, adding default limit of \\[.*\\]"
+      esql.query:
+        body:
+          query: 'FROM test4 | STATS max(agg_metric), min(agg_metric), sum(agg_metric), count(agg_metric)'
+
+  - length: {values: 1}
+  - length: {values.0: 4}
+  - match: {columns.0.name: "max(agg_metric)"}
+  - match: {columns.0.type: "double"}
+  - match: {columns.1.name: "min(agg_metric)"}
+  - match: {columns.1.type: "double"}
+  - match: {columns.2.name: "sum(agg_metric)"}
+  - match: {columns.2.type: "double"}
+  - match: {columns.3.name: "count(agg_metric)"}
+  - match: {columns.3.type: "long"}
+  - match: {values.0.0: null}
+  - match: {values.0.1: null}
+  - match: {values.0.2: 1.0}
+  - match: {values.0.3: 10}
 
 ---
 from index pattern unsupported counter:
@@ -294,7 +480,7 @@ from index pattern unsupported counter:
   - match: {columns.7.type: "keyword"}
   - match: {columns.8.name: "metricset"}
   - match: {columns.8.type: "keyword"}
-  - length: {values: 10}
+  - length: {values: 15}
 
 ---
 from index pattern explicit counter use:
@@ -315,7 +501,7 @@ from index pattern explicit counter use:
           query: 'FROM test* | keep *.tx'
   - match: {columns.0.name: "k8s.pod.network.tx"}
   - match: {columns.0.type: "unsupported"}
-  - length: {values: 10}
+  - length: {values: 15}
 
 ---
 _source: