ESQL: Support exponential histograms in TS queries

x-pack/plugin/esql/qa/server/multi-clusters/src/javaRestTest/java/org/elasticsearch/xpack/esql/ccq/MultiClusterSpecIT.java

@@ -430,11 +430,11 @@ protected boolean supportsExponentialHistograms() {
         try {
             return RestEsqlTestCase.hasCapabilities(
                 client(),
-                List.of(EsqlCapabilities.Cap.EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V4.capabilityName())
+                List.of(EsqlCapabilities.Cap.EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V5.capabilityName())
             )
                 && RestEsqlTestCase.hasCapabilities(
                     remoteClusterClient(),
-                    List.of(EsqlCapabilities.Cap.EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V4.capabilityName())
+                    List.of(EsqlCapabilities.Cap.EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V5.capabilityName())
                 );
         } catch (IOException e) {
             throw new RuntimeException(e);

x-pack/plugin/esql/qa/server/single-node/src/javaRestTest/java/org/elasticsearch/xpack/esql/qa/single_node/EsqlSpecIT.java

@@ -58,7 +58,7 @@ protected boolean supportsSourceFieldMapping() {
     protected boolean supportsExponentialHistograms() {
         return RestEsqlTestCase.hasCapabilities(
             client(),
-            List.of(EsqlCapabilities.Cap.EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V4.capabilityName())
+            List.of(EsqlCapabilities.Cap.EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V5.capabilityName())
         );
     }
 

x-pack/plugin/esql/qa/server/src/main/java/org/elasticsearch/xpack/esql/qa/rest/EsqlSpecTestCase.java

@@ -289,7 +289,7 @@ protected boolean supportsSourceFieldMapping() throws IOException {
     protected boolean supportsExponentialHistograms() {
         return RestEsqlTestCase.hasCapabilities(
             client(),
-            List.of(EsqlCapabilities.Cap.EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V4.capabilityName())
+            List.of(EsqlCapabilities.Cap.EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V5.capabilityName())
         );
     }
 

x-pack/plugin/esql/qa/testFixtures/src/main/java/org/elasticsearch/xpack/esql/CsvTestsDataLoader.java

@@ -172,7 +172,11 @@ public class CsvTestsDataLoader {
     private static final TestDataset DENSE_VECTOR = new TestDataset("dense_vector");
     private static final TestDataset COLORS = new TestDataset("colors");
     private static final TestDataset COLORS_CMYK_LOOKUP = new TestDataset("colors_cmyk").withSetting("lookup-settings.json");
-    private static final TestDataset EXP_HISTO_SAMPLE = new TestDataset("exp_histo_sample");
+    private static final TestDataset EXP_HISTO_SAMPLE = new TestDataset(
+        "exp_histo_sample",
+        "exp_histo_sample-mappings.json",
+        "exp_histo_sample.csv"
+    ).withSetting("exp_histo_sample-settings.json");
 
     public static final Map<String, TestDataset> CSV_DATASET_MAP = Map.ofEntries(
         Map.entry(EMPLOYEES.indexName, EMPLOYEES),

x-pack/plugin/esql/qa/testFixtures/src/main/resources/data/exp_histo_sample.csv

@@ -1,11 +1,11 @@
 @timestamp:date,instance:keyword,responseTime:exponential_histogram
-2025-01-01T00:00:00Z,dummy-empty,{"scale":-7}
-2025-01-01T00:00:00Z,dummy-full,{"scale":0\,"sum":-3775.0\,"min":-100.0\,"max":50.0\,"zero":{"count":1\,"threshold":1.0E-4}\,"positive":{"indices":[-1\,0\,1\,2\,3\,4\,5]\,"counts":[1\,1\,2\,4\,8\,16\,18]}\,"negative":{"indices":[-1\,0\,1\,2\,3\,4\,5\,6]\,"counts":[1\,1\,2\,4\,8\,16\,32\,36]}}
-2025-01-01T00:00:00Z,dummy-no_zero_bucket,{"scale":0\,"sum":-3775.0\,"min":-100.0\,"max":50.0\,"positive":{"indices":[-1\,0\,1\,2\,3\,4\,5]\,"counts":[1\,1\,2\,4\,8\,16\,18]}\,"negative":{"indices":[-1\,0\,1\,2\,3\,4\,5\,6]\,"counts":[1\,1\,2\,4\,8\,16\,32\,36]}}
-2025-01-01T00:00:00Z,dummy-positive_only,{"scale":2\,"sum":1275.0\,"min":1.0\,"max":50.0\,"positive":{"indices":[-1\,3\,6\,7\,9\,10\,11\,12\,13\,14\,15\,16\,17\,18\,19\,20\,21\,22]\,"counts":[1\,1\,1\,1\,1\,1\,2\,1\,2\,2\,3\,3\,3\,4\,6\,6\,7\,5]}}
-2025-01-01T00:00:00Z,dummy-negative_only,{"scale":2\,"sum":-1275.0\,"min":-50.0\,"max":-1.0\,"negative":{"indices":[-1\,3\,6\,7\,9\,10\,11\,12\,13\,14\,15\,16\,17\,18\,19\,20\,21\,22]\,"counts":[1\,1\,1\,1\,1\,1\,2\,1\,2\,2\,3\,3\,3\,4\,6\,6\,7\,5]}}
-2025-01-01T00:00:00Z,dummy-zero_threshold_only,{"scale":0\,"zero":{"threshold":2.0E-5}}
-2025-01-01T00:00:00Z,dummy-zero_count_only,{"scale":2\,"min":0\,"max":0\,"zero":{"count":101}}
+2025-09-24T00:00:00Z,dummy-empty,{"scale":-7}
+2025-09-24T00:00:00Z,dummy-full,{"scale":0\,"sum":-3775.0\,"min":-100.0\,"max":50.0\,"zero":{"count":1\,"threshold":1.0E-4}\,"positive":{"indices":[-1\,0\,1\,2\,3\,4\,5]\,"counts":[1\,1\,2\,4\,8\,16\,18]}\,"negative":{"indices":[-1\,0\,1\,2\,3\,4\,5\,6]\,"counts":[1\,1\,2\,4\,8\,16\,32\,36]}}
+2025-09-24T00:00:00Z,dummy-no_zero_bucket,{"scale":0\,"sum":-3775.0\,"min":-100.0\,"max":50.0\,"positive":{"indices":[-1\,0\,1\,2\,3\,4\,5]\,"counts":[1\,1\,2\,4\,8\,16\,18]}\,"negative":{"indices":[-1\,0\,1\,2\,3\,4\,5\,6]\,"counts":[1\,1\,2\,4\,8\,16\,32\,36]}}
+2025-09-24T00:00:00Z,dummy-positive_only,{"scale":2\,"sum":1275.0\,"min":1.0\,"max":50.0\,"positive":{"indices":[-1\,3\,6\,7\,9\,10\,11\,12\,13\,14\,15\,16\,17\,18\,19\,20\,21\,22]\,"counts":[1\,1\,1\,1\,1\,1\,2\,1\,2\,2\,3\,3\,3\,4\,6\,6\,7\,5]}}
+2025-09-24T00:00:00Z,dummy-negative_only,{"scale":2\,"sum":-1275.0\,"min":-50.0\,"max":-1.0\,"negative":{"indices":[-1\,3\,6\,7\,9\,10\,11\,12\,13\,14\,15\,16\,17\,18\,19\,20\,21\,22]\,"counts":[1\,1\,1\,1\,1\,1\,2\,1\,2\,2\,3\,3\,3\,4\,6\,6\,7\,5]}}
+2025-09-24T00:00:00Z,dummy-zero_threshold_only,{"scale":0\,"zero":{"threshold":2.0E-5}}
+2025-09-24T00:00:00Z,dummy-zero_count_only,{"scale":2\,"min":0\,"max":0\,"zero":{"count":101}}
 2025-09-25T00:01:00Z,instance-2,{"scale":4\,"sum":0.10814399999999999\,"min":2.65E-4\,"max":0.067933\,"positive":{"indices":[-191\,-188\,-184\,-182\,-181\,-180\,-179\,-178\,-176\,-175\,-172\,-171\,-170\,-169\,-168\,-167\,-152\,-150\,-149\,-137\,-131\,-112\,-110\,-63]\,"counts":[1\,1\,1\,2\,2\,5\,2\,1\,1\,1\,1\,1\,1\,2\,3\,1\,1\,1\,1\,1\,1\,1\,1\,1]}}
 2025-09-25T00:01:00Z,instance-0,{"scale":3\,"sum":9.269670999999999\,"min":3.79E-4\,"max":0.873616\,"positive":{"indices":[-91\,-90\,-88\,-87\,-86\,-85\,-84\,-83\,-82\,-77\,-76\,-75\,-73\,-72\,-66\,-65\,-63\,-61\,-58\,-55\,-54\,-53\,-51\,-49\,-46\,-44\,-43\,-38\,-35\,-31\,-30\,-24\,-23\,-22\,-21\,-19\,-17\,-16\,-15\,-14\,-13\,-10\,-9\,-8\,-5\,-4\,-2]\,"counts":[2\,2\,1\,6\,2\,1\,1\,1\,1\,2\,1\,3\,1\,1\,1\,1\,1\,1\,2\,1\,1\,1\,1\,2\,1\,2\,1\,2\,1\,1\,1\,1\,1\,1\,1\,1\,1\,2\,1\,3\,2\,2\,2\,1\,1\,2\,1]}}
 2025-09-25T00:01:00Z,instance-1,{"scale":4\,"sum":0.149232\,"min":2.58E-4\,"max":0.061096\,"positive":{"indices":[-191\,-183\,-182\,-181\,-180\,-179\,-177\,-175\,-174\,-172\,-171\,-168\,-167\,-166\,-155\,-153\,-151\,-150\,-148\,-113\,-66\,-65]\,"counts":[1\,1\,3\,2\,2\,1\,1\,4\,1\,1\,1\,1\,2\,1\,1\,1\,3\,1\,1\,1\,1\,1]}}

x-pack/plugin/esql/qa/testFixtures/src/main/resources/exp_histo_sample-mappings.json

@@ -0,0 +1,15 @@
+{
+  "properties": {
+    "@timestamp": {
+      "type": "date"
+    },
+    "instance": {
+      "type": "keyword",
+      "time_series_dimension": true
+    },
+    "responseTime": {
+      "type": "exponential_histogram",
+      "time_series_metric": "histogram"
+    }
+  }
+}

x-pack/plugin/esql/qa/testFixtures/src/main/resources/exp_histo_sample-settings.json

@@ -0,0 +1,10 @@
+{
+  "index": {
+    "mode": "time_series",
+    "routing_path": ["instance"],
+    "time_series": {
+      "start_time": "2025-09-24T00:00:00Z",
+      "end_time": "2025-09-26T00:00:00Z"
+    }
+  }
+}

x-pack/plugin/esql/qa/testFixtures/src/main/resources/exponential_histogram.csv-spec

@@ -1,5 +1,5 @@
 loadFiltered
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE STARTS_WITH(instance, "dummy") | SORT instance | KEEP instance, responseTime
 ;
@@ -14,10 +14,8 @@ dummy-zero_count_only     | "{""scale"":2,""sum"":0.0,""min"":0.0,""max"":0.0,""
 dummy-zero_threshold_only | "{""scale"":0,""zero"":{""threshold"":2.0E-5}}"
 ;
 
-
-
 allAggsGrouped
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample 
  | EVAL instance = CASE(STARTS_WITH(instance, "dummy"), "dummy-grouped", instance)
@@ -36,7 +34,7 @@ instance-2       | 2.2E-4     | 2.744054   | 6.469E-4      | 0.0016068  | 27.706
 
 
 allAggsFiltered
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample 
  | STATS min = MIN(responseTime) WHERE instance == "instance-0",
@@ -55,7 +53,7 @@ min:double | max:double | median:double | p75:double | sum:double | avg:double
 
 
 allAggsGroupedFiltered
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample 
  | WHERE NOT STARTS_WITH(instance, "dummy") 
@@ -79,7 +77,7 @@ instance-2       | null       | null       | 6.469E-4      | null       | null
 
 
 allAggsGroupedEmptyGroups
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample 
  | STATS min = MIN(responseTime) WHERE instance == "idontexist",
@@ -96,7 +94,7 @@ null       | null       | null          | null       | null       | null
 ;
 
 allAggsInlineGrouped
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample 
  | INLINE STATS min = MIN(responseTime), max = MAX(responseTime), median = MEDIAN(responseTime), p75 = PERCENTILE(responseTime,75), sum = SUM(responseTime), avg = AVG(responseTime)  BY instance
@@ -127,7 +125,7 @@ instance-0                | 2.4E-4     | 6.786232   | 0.0211404     | 0.2608237
 
 
 allAggsOnEmptyHistogram
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE instance == "dummy-empty"
  | STATS min = MIN(responseTime), max = MAX(responseTime), median = MEDIAN(responseTime), p75 = PERCENTILE(responseTime,75), sum = SUM(responseTime), avg = AVG(responseTime)
@@ -140,7 +138,7 @@ NULL       | NULL       | NULL          | NULL       | NULL       | NULL
 
 
 histoAsCaseValue
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample 
  | INLINE STATS p50 = PERCENTILE(responseTime, 50) BY instance, @timestamp
@@ -154,7 +152,7 @@ filteredCount:long
 ;
 
 ungroupedPercentiles
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE NOT STARTS_WITH(instance, "dummy") 
  | STATS p0 = PERCENTILE(responseTime,0),  p50 = PERCENTILE(responseTime,50),  p99 = PERCENTILE(responseTime, 99),  p100 = PERCENTILE(responseTime,100)
@@ -169,7 +167,7 @@ p0:double | p50:double | p99:double | p100:double
 
 
 groupedPercentiles
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE NOT STARTS_WITH(instance, "dummy") 
  | STATS p0 = PERCENTILE(responseTime,0),  p50 = PERCENTILE(responseTime,50),  p99 = PERCENTILE(responseTime, 99),  p100 = PERCENTILE(responseTime,100) BY instance
@@ -187,7 +185,7 @@ instance-2       | 2.2E-4    | 6.469E-4   | 0.0857672  | 2.7059714542564097
 
 
 percentileOnEmptyHistogram
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE instance == "dummy-empty"
  | STATS  p50 = PERCENTILE(responseTime,50)
@@ -201,7 +199,7 @@ NULL
 
 
 ungroupedMinMax
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE NOT STARTS_WITH(instance, "dummy") 
  | STATS min = MIN(responseTime),  max = MAX(responseTime)
@@ -215,7 +213,7 @@ min:double | max:double
 
 
 groupedMinMax
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE NOT STARTS_WITH(instance, "dummy") 
  | STATS min = MIN(responseTime),  max = MAX(responseTime) BY instance
@@ -232,7 +230,7 @@ instance-2       | 2.2E-4     | 2.744054
 
 
 minMaxOnEmptyHistogram
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE instance == "dummy-empty"
  | STATS  min = MIN(responseTime), max = MAX(responseTime)
@@ -245,7 +243,7 @@ NULL       | NULL
 
 
 ungroupedAvg
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE NOT STARTS_WITH(instance, "dummy") 
  | STATS avg = ROUND(AVG(responseTime), 7) // rounding to avoid floating point precision issues
@@ -258,7 +256,7 @@ avg:double
 
 
 groupedAvg
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE NOT STARTS_WITH(instance, "dummy") 
  | STATS avg = ROUND(AVG(responseTime), 7) BY instance // rounding to avoid floating point precision issues
@@ -274,7 +272,7 @@ instance-2       | 0.008197
 
 
 avgOnEmptyHistogram
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE instance == "dummy-empty"
  | STATS avg = AVG(responseTime)
@@ -287,7 +285,7 @@ NULL
 
 
 ungroupedSum
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE NOT STARTS_WITH(instance, "dummy") 
  | STATS sum = ROUND(SUM(responseTime), 7) // rounding to avoid floating point precision issues
@@ -300,7 +298,7 @@ sum:double
 
 
 groupedSum
-required_capability: exponential_histogram_pre_tech_preview_v4
+required_capability: exponential_histogram_pre_tech_preview_v5
 
 FROM exp_histo_sample | WHERE NOT STARTS_WITH(instance, "dummy") 
  | STATS sum = ROUND(SUM(responseTime), 7) BY instance // rounding to avoid floating point precision issues
@@ -313,3 +311,92 @@ instance-0       | 1472.744209
 instance-1       | 36.198484
 instance-2       | 27.706021
 ;
+
+
+timeseriesAllAggsNoBucket
+required_capability: exponential_histogram_pre_tech_preview_v5
+required_capability: ts_command_v0
+
+TS exp_histo_sample 
+ | WHERE NOT STARTS_WITH(instance, "dummy") 
+ | STATS min = MIN(responseTime), max = MAX(responseTime), median = MEDIAN(responseTime), p75 = PERCENTILE(responseTime,75), sum = SUM(responseTime), avg = AVG(responseTime) BY instance
+ | EVAL median = ROUND(median, 7), p75 = ROUND(p75, 7), sum = ROUND(sum, 7), avg = ROUND(avg, 7) // rounding to avoid floating point precision issues
+ | KEEP instance, min, max, median, p75, sum, avg
+ | SORT instance
+;
+
+instance:keyword | min:double | max:double | median:double | p75:double | sum:double  | avg:double
+instance-0       | 2.4E-4     | 6.786232   | 0.0211404     | 0.2608237  | 1472.744209 | 0.1665812
+instance-1       | 2.17E-4    | 3.190723   | 6.469E-4      | 0.0016068  | 36.198484   | 0.011138
+instance-2       | 2.2E-4     | 2.744054   | 6.469E-4      | 0.0016068  | 27.706021   | 0.008197
+;
+
+
+timeseriesAllAggsFilteredAndBucketed
+required_capability: exponential_histogram_pre_tech_preview_v5
+required_capability: ts_command_v0
+
+TS exp_histo_sample 
+ | WHERE NOT STARTS_WITH(instance, "dummy") 
+ | WHERE TRANGE(to_datetime("2025-09-25T00:30:00Z"), to_datetime("2025-09-25T01:00:00Z"))
+ | STATS min = MIN(responseTime), max = MAX(responseTime), median = MEDIAN(responseTime), p75 = PERCENTILE(responseTime,75), sum = SUM(responseTime), avg = AVG(responseTime) BY instance, time=TBUCKET(10m)
+ | EVAL median = ROUND(median, 7), p75 = ROUND(p75, 7), sum = ROUND(sum, 7), avg = ROUND(avg, 7) // rounding to avoid floating point precision issues
+ | KEEP instance, time, min, max, median, p75, sum, avg
+ | SORT instance, time
+;
+
+instance:keyword | time:datetime            | min:double | max:double | median:double | p75:double | sum:double | avg:double
+instance-0       | 2025-09-25T00:30:00.000Z | 2.5E-4     | 1.291403   | 0.0274157     | 0.2391763  | 128.220162 | 0.1582965
+instance-0       | 2025-09-25T00:40:00.000Z | 2.93E-4    | 1.381711   | 0.013139      | 0.2193257  | 139.229386 | 0.1567898
+instance-0       | 2025-09-25T00:50:00.000Z | 2.57E-4    | 1.337726   | 0.029897      | 0.2608237  | 146.914416 | 0.1680943
+instance-0       | 2025-09-25T01:00:00.000Z | 3.58E-4    | 1.384036   | 0.017812      | 0.1665956  | 15.216617  | 0.1729161
+instance-1       | 2025-09-25T00:30:00.000Z | 2.37E-4    | 0.144625   | 6.831E-4      | 0.0015387  | 1.323601   | 0.0046119
+instance-1       | 2025-09-25T00:40:00.000Z | 2.33E-4    | 0.189058   | 5.681E-4      | 0.0014734  | 1.422738   | 0.0049746
+instance-1       | 2025-09-25T00:50:00.000Z | 2.29E-4    | 0.06199    | 5.681E-4      | 0.001411   | 0.737455   | 0.0025695
+instance-1       | 2025-09-25T01:00:00.000Z | 3.31E-4    | 0.252402   | 7.055E-4      | 0.0015898  | 0.399745   | 0.0133248
+instance-2       | 2025-09-25T00:30:00.000Z | 2.21E-4    | 0.136683   | 6.469E-4      | 0.0015727  | 1.710478   | 0.0057982
+instance-2       | 2025-09-25T00:40:00.000Z | 2.25E-4    | 0.098632   | 5.932E-4      | 0.001411   | 1.278917   | 0.0041255
+instance-2       | 2025-09-25T00:50:00.000Z | 2.2E-4     | 0.092109   | 5.807E-4      | 0.0014578  | 0.946027   | 0.0032622
+instance-2       | 2025-09-25T01:00:00.000Z | 2.45E-4    | 0.008362   | 4.777E-4      | 6.756E-4   | 0.033433   | 0.0011529
+;
+
+
+timeseriesAllAggsUngrouped
+required_capability: exponential_histogram_pre_tech_preview_v5
+required_capability: ts_command_v0
+
+TS exp_histo_sample 
+ | WHERE NOT STARTS_WITH(instance, "dummy") 
+ | STATS min = MIN(responseTime), max = MAX(responseTime), median = MEDIAN(responseTime), p75 = PERCENTILE(responseTime,75), sum = SUM(responseTime), avg = AVG(responseTime)
+ | EVAL median = ROUND(median, 7), p75 = ROUND(p75, 7), sum = ROUND(sum, 7), avg = ROUND(avg, 7) // rounding to avoid floating point precision issues
+ | KEEP min, max, median, p75, sum, avg
+;
+
+min:double | max:double | median:double | p75:double | sum:double  | avg:double
+2.17E-4    | 6.786232   | 0.0016965     | 0.0542885  | 1536.648714 | 0.0993245
+;
+
+
+timseriesAllAggsGroupedFiltered
+required_capability: exponential_histogram_pre_tech_preview_v5
+required_capability: ts_command_v0
+
+TS exp_histo_sample 
+ | WHERE NOT STARTS_WITH(instance, "dummy") 
+ | STATS min = MIN(responseTime) WHERE instance == "instance-0",
+         max = MAX(responseTime) WHERE instance == "instance-1",
+         median = MEDIAN(responseTime) WHERE instance == "instance-2",
+         p75 = PERCENTILE(responseTime,75) WHERE instance == "instance-0",
+         sum = SUM(responseTime) WHERE instance == "instance-1",
+         avg = AVG(responseTime) WHERE instance == "instance-2"
+         BY instance
+ | EVAL median = ROUND(median, 7), p75 = ROUND(p75, 7), sum = ROUND(sum, 7), avg = ROUND(avg, 7) // rounding to avoid floating point precision issues
+ | KEEP instance, min, max, median, p75, sum, avg
+ | SORT instance
+;
+
+instance:keyword | min:double | max:double | median:double | p75:double | sum:double | avg:double
+instance-0       | 2.4E-4     | null       | null          | 0.2608237  | null       | null
+instance-1       | null       | 3.190723   | null          | null       | 36.198484  | null
+instance-2       | null       | null       | 6.469E-4      | null       | null       | 0.008197
+;

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

@@ -1572,7 +1572,7 @@ public enum Cap {
          * When implementing changes on this type, we'll simply increment the version suffix at the end to prevent bwc tests from running.
          * As soon as we move into tech preview, we'll replace this capability with a "EXPONENTIAL_HISTOGRAM_TECH_PREVIEW" one.
          */
-        EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V4(EXPONENTIAL_HISTOGRAM_FEATURE_FLAG),
+        EXPONENTIAL_HISTOGRAM_PRE_TECH_PREVIEW_V5(EXPONENTIAL_HISTOGRAM_FEATURE_FLAG),
 
         /**
          * Create new block when filtering OrdinalBytesRefBlock

x-pack/plugin/esql/src/main/java/org/elasticsearch/xpack/esql/expression/function/aggregate/AggregateWritables.java

@@ -55,7 +55,8 @@ public static List<NamedWriteableRegistry.Entry> getNamedWriteables() {
             Absent.ENTRY,
             AbsentOverTime.ENTRY,
             DimensionValues.ENTRY,
-            HistogramMerge.ENTRY
+            HistogramMerge.ENTRY,
+            HistogramMergeOverTime.ENTRY
         );
     }
 }