Graceful null handling and correctness in DoubleMean Aggregator (#12320)

* Adding null handling for double mean aggregator

* Updating code to handle nulls in DoubleMean aggregator

* oops last one should have checkstyle issues. fixed

* Updating some code and test cases

* Checking on object is null in case of numeric aggregator

* Adding one more test to improve coverage

* Changing one test as asked in the review

* Changing one test as asked in the review for nulls

processing/src/main/java/org/apache/druid/query/aggregation/mean/DoubleMeanAggregator.java

@@ -19,6 +19,7 @@
 
 package org.apache.druid.query.aggregation.mean;
 
+import org.apache.druid.common.config.NullHandling;
 import org.apache.druid.java.util.common.Numbers;
 import org.apache.druid.query.aggregation.Aggregator;
 import org.apache.druid.segment.ColumnValueSelector;
@@ -43,6 +44,10 @@ public class DoubleMeanAggregator implements Aggregator
   {
     Object update = selector.getObject();
 
+    if (update == null && NullHandling.replaceWithDefault() == false) {
+      return;
+    }
+
     if (update instanceof DoubleMeanHolder) {
       value.update((DoubleMeanHolder) update);
     } else if (update instanceof List) {

processing/src/main/java/org/apache/druid/query/aggregation/mean/DoubleMeanBufferAggregator.java

@@ -19,6 +19,7 @@
 
 package org.apache.druid.query.aggregation.mean;
 
+import org.apache.druid.common.config.NullHandling;
 import org.apache.druid.java.util.common.Numbers;
 import org.apache.druid.query.aggregation.BufferAggregator;
 import org.apache.druid.query.monomorphicprocessing.RuntimeShapeInspector;
@@ -51,6 +52,9 @@ public class DoubleMeanBufferAggregator implements BufferAggregator
   {
     Object update = selector.getObject();
 
+    if (update == null && NullHandling.replaceWithDefault() == false) {
+      return;
+    }
     if (update instanceof DoubleMeanHolder) {
       DoubleMeanHolder.update(buf, position, (DoubleMeanHolder) update);
     } else if (update instanceof List) {

processing/src/main/java/org/apache/druid/query/aggregation/mean/DoubleMeanVectorAggregator.java

@@ -20,6 +20,7 @@
 package org.apache.druid.query.aggregation.mean;
 
 import com.google.common.base.Preconditions;
+import org.apache.druid.common.config.NullHandling;
 import org.apache.druid.query.aggregation.VectorAggregator;
 import org.apache.druid.segment.vector.VectorValueSelector;
 
@@ -45,11 +46,28 @@ public class DoubleMeanVectorAggregator implements VectorAggregator
   public void aggregate(final ByteBuffer buf, final int position, final int startRow, final int endRow)
   {
     final double[] vector = selector.getDoubleVector();
-    for (int i = startRow; i < endRow; i++) {
-      DoubleMeanHolder.update(buf, position, vector[i]);
+    final boolean[] nulls = selector.getNullVector();
+
+    if (nulls != null) {
+      if (NullHandling.replaceWithDefault()) {
+        for (int i = startRow; i < endRow; i++) {
+          DoubleMeanHolder.update(buf, position, vector[i]);
+        }
+      } else {
+        for (int i = startRow; i < endRow; i++) {
+          if (!nulls[i]) {
+            DoubleMeanHolder.update(buf, position, vector[i]);
+          }
+        }
+      }
+    } else {
+      for (int i = startRow; i < endRow; i++) {
+        DoubleMeanHolder.update(buf, position, vector[i]);
+      }
     }
   }
 
+
   @Override
   public void aggregate(
       final ByteBuffer buf,
@@ -60,10 +78,27 @@ public class DoubleMeanVectorAggregator implements VectorAggregator
   )
   {
     final double[] vector = selector.getDoubleVector();
+    final boolean[] nulls = selector.getNullVector();
 
-    for (int i = 0; i < numRows; i++) {
-      final double val = vector[rows != null ? rows[i] : i];
-      DoubleMeanHolder.update(buf, positions[i] + positionOffset, val);
+    if (nulls != null) {
+      if (NullHandling.replaceWithDefault()) {
+        for (int i = 0; i < numRows; i++) {
+          final double val = vector[rows != null ? rows[i] : i];
+          DoubleMeanHolder.update(buf, positions[i] + positionOffset, val);
+        }
+      } else {
+        for (int j = 0; j < numRows; j++) {
+          if (!nulls[j]) {
+            final double val = vector[rows != null ? rows[j] : j];
+            DoubleMeanHolder.update(buf, positions[j] + positionOffset, val);
+          }
+        }
+      }
+    } else {
+      for (int i = 0; i < numRows; i++) {
+        final double val = vector[rows != null ? rows[i] : i];
+        DoubleMeanHolder.update(buf, positions[i] + positionOffset, val);
+      }
     }
   }
 

processing/src/test/java/org/apache/druid/query/aggregation/mean/DoubleMeanAggregationTest.java

@@ -26,6 +26,7 @@ import com.google.common.collect.Iterables;
 import com.google.common.collect.Lists;
 import junitparams.JUnitParamsRunner;
 import junitparams.Parameters;
+import org.apache.druid.common.config.NullHandling;
 import org.apache.druid.data.input.Row;
 import org.apache.druid.java.util.common.granularity.Granularities;
 import org.apache.druid.java.util.common.guava.Sequence;
@@ -46,6 +47,7 @@ import org.apache.druid.segment.ColumnSelectorFactory;
 import org.apache.druid.segment.IncrementalIndexSegment;
 import org.apache.druid.segment.QueryableIndexSegment;
 import org.apache.druid.segment.Segment;
+import org.apache.druid.segment.TestIndex;
 import org.apache.druid.timeline.SegmentId;
 import org.easymock.EasyMock;
 import org.junit.Assert;
@@ -72,6 +74,7 @@ public class DoubleMeanAggregationTest
   private final AggregationTestHelper timeseriesQueryTestHelper;
 
   private final List<Segment> segments;
+  private final List<Segment> biggerSegments;
 
   public DoubleMeanAggregationTest()
   {
@@ -91,6 +94,11 @@ public class DoubleMeanAggregationTest
         new IncrementalIndexSegment(SimpleTestIndex.getIncrementalTestIndex(), SegmentId.dummy("test1")),
         new QueryableIndexSegment(SimpleTestIndex.getMMappedTestIndex(), SegmentId.dummy("test2"))
     );
+
+    biggerSegments = ImmutableList.of(
+        new IncrementalIndexSegment(TestIndex.getIncrementalTestIndex(), SegmentId.dummy("test1")),
+        new QueryableIndexSegment(TestIndex.getMMappedTestIndex(), SegmentId.dummy("test2"))
+    );
   }
 
   @Test
@@ -145,6 +153,33 @@ public class DoubleMeanAggregationTest
     Assert.assertEquals(6.2d, result.getMetric("meanOnDouble").doubleValue(), 0.0001d);
   }
 
+  @Test
+  @Parameters(method = "doVectorize")
+  public void testVectorAggretatorUsingGroupByQueryOnDoubleColumnOnBiggerSegments(boolean doVectorize) throws Exception
+  {
+    GroupByQuery query = new GroupByQuery.Builder()
+        .setDataSource("blah")
+        .setGranularity(Granularities.ALL)
+        .setInterval("1970/2050")
+        .setAggregatorSpecs(
+            new DoubleMeanAggregatorFactory("meanOnDouble", TestIndex.COLUMNS[9])
+        )
+        .setContext(Collections.singletonMap(QueryContexts.VECTORIZE_KEY, doVectorize))
+        .build();
+
+    // do json serialization and deserialization of query to ensure there are no serde issues
+    ObjectMapper jsonMapper = groupByQueryTestHelper.getObjectMapper();
+    query = (GroupByQuery) jsonMapper.readValue(jsonMapper.writeValueAsString(query), Query.class);
+
+    Sequence<ResultRow> seq = groupByQueryTestHelper.runQueryOnSegmentsObjs(biggerSegments, query);
+    Row result = Iterables.getOnlyElement(seq.toList()).toMapBasedRow(query);
+    if (NullHandling.replaceWithDefault()) {
+      Assert.assertEquals(39.2307d, result.getMetric("meanOnDouble").doubleValue(), 0.0001d);
+    } else {
+      Assert.assertEquals(51.0d, result.getMetric("meanOnDouble").doubleValue(), 0.0001d);
+    }
+  }
+
   @Test
   @Parameters(method = "doVectorize")
   public void testAggretatorUsingTimeseriesQuery(boolean doVectorize) throws Exception

processing/src/test/java/org/apache/druid/query/groupby/GroupByQueryRunnerTest.java

@@ -33,6 +33,7 @@ import com.google.common.collect.Sets;
 import org.apache.druid.collections.CloseableDefaultBlockingPool;
 import org.apache.druid.collections.CloseableStupidPool;
 import org.apache.druid.common.config.NullHandling;
+import org.apache.druid.data.input.Row;
 import org.apache.druid.data.input.Rows;
 import org.apache.druid.java.util.common.DateTimes;
 import org.apache.druid.java.util.common.IAE;
@@ -82,6 +83,7 @@ import org.apache.druid.query.aggregation.first.LongFirstAggregatorFactory;
 import org.apache.druid.query.aggregation.hyperloglog.HyperUniqueFinalizingPostAggregator;
 import org.apache.druid.query.aggregation.hyperloglog.HyperUniquesAggregatorFactory;
 import org.apache.druid.query.aggregation.last.LongLastAggregatorFactory;
+import org.apache.druid.query.aggregation.mean.DoubleMeanAggregatorFactory;
 import org.apache.druid.query.aggregation.post.ArithmeticPostAggregator;
 import org.apache.druid.query.aggregation.post.ConstantPostAggregator;
 import org.apache.druid.query.aggregation.post.ExpressionPostAggregator;
@@ -5881,6 +5883,33 @@ public class GroupByQueryRunnerTest extends InitializedNullHandlingTest
     TestHelper.assertExpectedObjects(expectedResults, results, "subquery-different-intervals");
   }
 
+  @Test
+  public void testDoubleMeanQuery()
+  {
+    GroupByQuery query = new GroupByQuery.Builder()
+        .setDataSource(QueryRunnerTestHelper.DATA_SOURCE)
+        .setGranularity(Granularities.ALL)
+        .setQuerySegmentSpec(QueryRunnerTestHelper.FIRST_TO_THIRD)
+        .setAggregatorSpecs(
+            new DoubleMeanAggregatorFactory("meanOnDouble", "doubleNumericNull")
+        )
+        .build();
+
+    if (config.getDefaultStrategy().equals(GroupByStrategySelector.STRATEGY_V1)) {
+      expectedException.expect(ISE.class);
+      expectedException.expectMessage("Unable to handle complex type");
+      GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
+    } else {
+      Iterable<ResultRow> results = GroupByQueryRunnerTestHelper.runQuery(factory, runner, query);
+      Row result = Iterables.getOnlyElement(results).toMapBasedRow(query);
+      if (NullHandling.replaceWithDefault()) {
+        Assert.assertEquals(39.2307d, result.getMetric("meanOnDouble").doubleValue(), 0.0001d);
+      } else {
+        Assert.assertEquals(51.0d, result.getMetric("meanOnDouble").doubleValue(), 0.0001d);
+      }
+    }
+  }
+
   @Test
   public void testGroupByTimeExtractionNamedUnderUnderTime()
   {