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Posted to commits@druid.apache.org by gi...@apache.org on 2022/09/09 18:29:30 UTC

[druid] branch master updated: Add ARRAY_QUANTILE function. (#13061)

This is an automated email from the ASF dual-hosted git repository.

gian pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/druid.git


The following commit(s) were added to refs/heads/master by this push:
     new e29e7a8434 Add ARRAY_QUANTILE function. (#13061)
e29e7a8434 is described below

commit e29e7a843461562386d1febadb8c62739aa7605d
Author: Gian Merlino <gi...@gmail.com>
AuthorDate: Fri Sep 9 11:29:20 2022 -0700

    Add ARRAY_QUANTILE function. (#13061)
    
    * Add ARRAY_QUANTILE function.
    
    Expected usage is like: ARRAY_QUANTILE(ARRAY_AGG(x), 0.9).
    
    * Fix test.
---
 .../query/expression/ArrayQuantileExprMacro.java   | 172 +++++++++++++++
 .../expression/ArrayQuantileExprMacroTest.java     | 231 +++++++++++++++++++++
 .../druid/query/expression/TestExprMacroTable.java |   1 +
 .../org/apache/druid/guice/ExpressionModule.java   |   2 +
 .../builtin/ArrayQuantileOperatorConversion.java   |  43 ++++
 .../sql/calcite/planner/DruidOperatorTable.java    |   2 +
 .../druid/sql/calcite/CalciteArraysQueryTest.java  |  43 ++++
 7 files changed, 494 insertions(+)

diff --git a/processing/src/main/java/org/apache/druid/query/expression/ArrayQuantileExprMacro.java b/processing/src/main/java/org/apache/druid/query/expression/ArrayQuantileExprMacro.java
new file mode 100644
index 0000000000..9a884bcc77
--- /dev/null
+++ b/processing/src/main/java/org/apache/druid/query/expression/ArrayQuantileExprMacro.java
@@ -0,0 +1,172 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.druid.query.expression;
+
+import it.unimi.dsi.fastutil.doubles.DoubleArrayList;
+import it.unimi.dsi.fastutil.doubles.DoubleList;
+import org.apache.druid.java.util.common.StringUtils;
+import org.apache.druid.math.expr.Expr;
+import org.apache.druid.math.expr.ExprEval;
+import org.apache.druid.math.expr.ExprMacroTable;
+import org.apache.druid.math.expr.ExpressionType;
+
+import javax.annotation.Nonnull;
+import javax.annotation.Nullable;
+import java.util.List;
+
+/**
+ * Computes a particular quantile from a numeric array.
+ *
+ * Usage: {@code array_quantile(array, rank)}. The requested quantile is given by "rank", which must be from 0 to 1,
+ * inclusive: 0 is the minimum, 1 is the maximum. Null values in the input array are ignored.
+ *
+ * Returns {@link Double#NaN} if the requested quantile is below 0 or above 1. Returns {@link Double#NaN} if the
+ * input array is numeric, yet contains no nonnull elements. Returns null if the input is not a numeric array at all.
+ *
+ * If the requested quantile falls between two elements of the input array, the result is a linear interpolation of
+ * the two closest values. According to Wikipedia (https://en.wikipedia.org/wiki/Quantile), the interpolation algorithm
+ * we're using is the default method in R, NumPy, and Julia, and matches Excel's PERCENTILE.INC function.
+ */
+public class ArrayQuantileExprMacro implements ExprMacroTable.ExprMacro
+{
+  public static final String FN_NAME = "array_quantile";
+  private static final String RANK_ARG_NAME = "rank";
+
+  @Override
+  public String name()
+  {
+    return FN_NAME;
+  }
+
+  @Override
+  public Expr apply(final List<Expr> args)
+  {
+    validationHelperCheckArgumentCount(args, 2);
+
+    final Expr arg = args.get(0);
+    final Expr rankArg = args.get(1);
+
+    validationHelperCheckArgIsLiteral(rankArg, RANK_ARG_NAME);
+    if (!(rankArg.getLiteralValue() instanceof Number)) {
+      throw validationFailed("%s must be a number", RANK_ARG_NAME);
+    }
+
+    final double rank = ((Number) rankArg.getLiteralValue()).doubleValue();
+
+    class ArrayQuantileExpr extends ExprMacroTable.BaseScalarUnivariateMacroFunctionExpr
+    {
+      private ArrayQuantileExpr(Expr arg)
+      {
+        super(FN_NAME, arg);
+      }
+
+      @Nonnull
+      @Override
+      public ExprEval<?> eval(final ObjectBinding bindings)
+      {
+        final DoubleList doubles = toDoubleArray(arg.eval(bindings));
+
+        if (doubles == null) {
+          return ExprEval.ofDouble(null);
+        }
+
+        // Could speed up by using selection (like quickselect) instead of sort: expected O(n) instead of O(n logn).
+        doubles.sort(null);
+        return ExprEval.ofDouble(quantileFromSortedArray(doubles, rank));
+      }
+
+      @Override
+      public Expr visit(Shuttle shuttle)
+      {
+        return shuttle.visit(apply(shuttle.visitAll(args)));
+      }
+
+      @Nullable
+      @Override
+      public ExpressionType getOutputType(InputBindingInspector inspector)
+      {
+        return ExpressionType.DOUBLE;
+      }
+
+      @Override
+      public String stringify()
+      {
+        return StringUtils.format("%s(%s, %s)", FN_NAME, arg.stringify(), rankArg.stringify());
+      }
+    }
+
+    return new ArrayQuantileExpr(arg);
+  }
+
+  /**
+   * Returns a double[] copy of an {@link ExprEval}, or null if the eval is null, or is an array that contains any
+   * nonnumeric elements. Nulls are skipped.
+   */
+  @Nullable
+  static DoubleList toDoubleArray(final ExprEval<?> eval)
+  {
+    if (!eval.type().isArray() || !eval.type().getElementType().isNumeric()) {
+      return null;
+    }
+
+    final Object[] arr = eval.asArray();
+
+    if (arr == null) {
+      return null;
+    }
+
+    // Copy array to double[], while verifying all elements are numbers and skipping nulls.
+    final DoubleArrayList doubles = new DoubleArrayList(arr.length);
+
+    for (final Object o : arr) {
+      if (o != null) {
+        doubles.add(((Number) o).doubleValue());
+      }
+    }
+
+    return doubles;
+  }
+
+  static double quantileFromSortedArray(final DoubleList sortedDoubles, final double rank)
+  {
+    if (sortedDoubles.size() == 0 || rank < 0 || rank > 1) {
+      return Double.NaN;
+    }
+
+    final double index = rank * (sortedDoubles.size() - 1);
+
+    if (index <= 0) {
+      // Minimum
+      return sortedDoubles.getDouble(0);
+    } else if (index >= sortedDoubles.size() - 1) {
+      // Maximum
+      return sortedDoubles.getDouble(sortedDoubles.size() - 1);
+    } else if (index == (int) index) {
+      // Specific element
+      return sortedDoubles.getDouble((int) index);
+    } else {
+      // Linearly interpolate between two closest elements
+      final double step = index - (int) index;
+      final double a = sortedDoubles.getDouble((int) index);
+      final double b = sortedDoubles.getDouble((int) index + 1);
+      return a + step * (b - a);
+    }
+  }
+}
diff --git a/processing/src/test/java/org/apache/druid/query/expression/ArrayQuantileExprMacroTest.java b/processing/src/test/java/org/apache/druid/query/expression/ArrayQuantileExprMacroTest.java
new file mode 100644
index 0000000000..bb79154f79
--- /dev/null
+++ b/processing/src/test/java/org/apache/druid/query/expression/ArrayQuantileExprMacroTest.java
@@ -0,0 +1,231 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.druid.query.expression;
+
+import com.google.common.collect.ImmutableList;
+import it.unimi.dsi.fastutil.doubles.DoubleList;
+import it.unimi.dsi.fastutil.doubles.DoubleLists;
+import org.apache.druid.common.config.NullHandling;
+import org.apache.druid.math.expr.Expr;
+import org.apache.druid.math.expr.ExprEval;
+import org.apache.druid.math.expr.InputBindings;
+import org.apache.druid.testing.InitializedNullHandlingTest;
+import org.junit.Assert;
+import org.junit.Test;
+
+public class ArrayQuantileExprMacroTest extends InitializedNullHandlingTest
+{
+  @Test
+  public void test_apply_longArray()
+  {
+    final Expr result = new ArrayQuantileExprMacro().apply(
+        ImmutableList.of(
+            ExprEval.ofLongArray(new Object[]{1L, 3L, 2L}).toExpr(),
+            ExprEval.ofDouble(0.5).toExpr()
+        )
+    );
+
+    Assert.assertEquals(
+        2.0,
+        result.eval(InputBindings.nilBindings()).asDouble(),
+        0.0
+    );
+  }
+
+  @Test
+  public void test_apply_longArrayWithNulls()
+  {
+    final Expr result = new ArrayQuantileExprMacro().apply(
+        ImmutableList.of(
+            ExprEval.ofLongArray(new Object[]{1L, 3L, null, null, null, 2L}).toExpr(),
+            ExprEval.ofDouble(0.5).toExpr()
+        )
+    );
+
+    Assert.assertEquals(
+        2.0,
+        result.eval(InputBindings.nilBindings()).asDouble(),
+        0.0
+    );
+  }
+
+  @Test
+  public void test_apply_doubleArray()
+  {
+    final Expr result = new ArrayQuantileExprMacro().apply(
+        ImmutableList.of(
+            ExprEval.ofDoubleArray(new Object[]{1.0, 3.0, 2.0}).toExpr(),
+            ExprEval.ofDouble(0.5).toExpr()
+        )
+    );
+
+    Assert.assertEquals(
+        2.0,
+        result.eval(InputBindings.nilBindings()).asDouble(),
+        0.0
+    );
+  }
+
+  @Test
+  public void test_apply_doubleArrayWithNulls()
+  {
+    final Expr result = new ArrayQuantileExprMacro().apply(
+        ImmutableList.of(
+            ExprEval.ofDoubleArray(new Object[]{1.0, null, null, null, 3.0, 2.0}).toExpr(),
+            ExprEval.ofDouble(0.5).toExpr()
+        )
+    );
+
+    Assert.assertEquals(
+        2.0,
+        result.eval(InputBindings.nilBindings()).asDouble(),
+        0.0
+    );
+  }
+
+  @Test
+  public void test_apply_stringArray()
+  {
+    final Expr result = new ArrayQuantileExprMacro().apply(
+        ImmutableList.of(
+            ExprEval.ofStringArray(new Object[]{"1.0", "3.0", "2.0"}).toExpr(),
+            ExprEval.ofDouble(0.5).toExpr()
+        )
+    );
+
+    if (NullHandling.sqlCompatible()) {
+      Assert.assertTrue(result.eval(InputBindings.nilBindings()).isNumericNull());
+    } else {
+      Assert.assertFalse(result.eval(InputBindings.nilBindings()).isNumericNull());
+      Assert.assertEquals(0, result.eval(InputBindings.nilBindings()).asDouble(), 0);
+    }
+  }
+
+  @Test
+  public void test_apply_null()
+  {
+    final Expr result = new ArrayQuantileExprMacro().apply(
+        ImmutableList.of(
+            ExprEval.ofLongArray(null).toExpr(),
+            ExprEval.ofDouble(0.5).toExpr()
+        )
+    );
+
+    if (NullHandling.sqlCompatible()) {
+      Assert.assertTrue(result.eval(InputBindings.nilBindings()).isNumericNull());
+    } else {
+      Assert.assertFalse(result.eval(InputBindings.nilBindings()).isNumericNull());
+      Assert.assertEquals(0, result.eval(InputBindings.nilBindings()).asDouble(), 0);
+    }
+  }
+
+  @Test
+  public void test_quantileFromSortedArray()
+  {
+    final DoubleList doubles = DoubleList.of(
+        1.74894566717352,
+        2.45877596678213,
+        6.84501873459025,
+        18.05541572400960,
+        18.46552908786640,
+        21.67577450542990,
+        28.27502148905920,
+        29.38150656294550,
+        31.51777607091530,
+        35.07176789407870,
+        35.44337813640110,
+        36.00285458859680,
+        38.02930138807480,
+        38.91193281665990,
+        39.10448180900530,
+        41.73995751226990,
+        44.09796685057930,
+        44.97457148479690,
+        69.52896057856050,
+        74.77683331911330,
+        77.96955453249100,
+        80.79983221039570,
+        83.32696453924490,
+        87.71915087266120,
+        90.18343512171780,
+        96.84202159588680
+    );
+
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, -0.1), 0.0000001);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0), 0.0000001);
+    Assert.assertEquals(1.748963413, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.000001), 0.0000001);
+    Assert.assertEquals(12.45021723, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.1), 0.0000001);
+    Assert.assertEquals(21.67577451, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.2), 0.0000001);
+    Assert.assertEquals(30.44964132, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.3), 0.0000001);
+    Assert.assertEquals(35.44337814, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.4), 0.0000001);
+    Assert.assertEquals(38.4706171, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.5), 0.0000001);
+    Assert.assertEquals(41.73995751, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.6), 0.0000001);
+    Assert.assertEquals(57.25176603, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.7), 0.0000001);
+    Assert.assertEquals(77.96955453, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.8), 0.0000001);
+    Assert.assertEquals(85.52305771, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.9), 0.0000001);
+    Assert.assertEquals(96.84185513, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.999999), 0.0000001);
+    Assert.assertEquals(96.8420216, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 1), 0.0000001);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 1.1), 0.0000001);
+  }
+
+  @Test
+  public void test_quantileFromSortedArray_singleElement()
+  {
+    final DoubleList doubles = DoubleList.of(1.748945667);
+
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, -0.1), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.000001), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.1), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.2), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.3), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.4), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.5), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.6), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.7), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.8), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.9), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.999999), 0);
+    Assert.assertEquals(1.748945667, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 1), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 1.1), 0);
+  }
+
+  @Test
+  public void test_quantileFromSortedArray_noElements()
+  {
+    final DoubleList doubles = DoubleLists.emptyList();
+
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, -0.1), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.000001), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.1), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.2), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.3), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.4), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.5), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.6), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.7), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.8), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.9), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 0.999999), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 1), 0);
+    Assert.assertEquals(Double.NaN, ArrayQuantileExprMacro.quantileFromSortedArray(doubles, 1.1), 0);
+  }
+}
diff --git a/processing/src/test/java/org/apache/druid/query/expression/TestExprMacroTable.java b/processing/src/test/java/org/apache/druid/query/expression/TestExprMacroTable.java
index 140bcac3fa..cadb24dc98 100644
--- a/processing/src/test/java/org/apache/druid/query/expression/TestExprMacroTable.java
+++ b/processing/src/test/java/org/apache/druid/query/expression/TestExprMacroTable.java
@@ -37,6 +37,7 @@ public class TestExprMacroTable extends ExprMacroTable
   {
     super(
         ImmutableList.of(
+            new ArrayQuantileExprMacro(),
             new IPv4AddressMatchExprMacro(),
             new IPv4AddressParseExprMacro(),
             new IPv4AddressStringifyExprMacro(),
diff --git a/server/src/main/java/org/apache/druid/guice/ExpressionModule.java b/server/src/main/java/org/apache/druid/guice/ExpressionModule.java
index a9baad566a..3008ba8fb0 100644
--- a/server/src/main/java/org/apache/druid/guice/ExpressionModule.java
+++ b/server/src/main/java/org/apache/druid/guice/ExpressionModule.java
@@ -24,6 +24,7 @@ import com.google.inject.Binder;
 import com.google.inject.Module;
 import com.google.inject.multibindings.Multibinder;
 import org.apache.druid.math.expr.ExprMacroTable;
+import org.apache.druid.query.expression.ArrayQuantileExprMacro;
 import org.apache.druid.query.expression.CaseInsensitiveContainsExprMacro;
 import org.apache.druid.query.expression.ContainsExprMacro;
 import org.apache.druid.query.expression.GuiceExprMacroTable;
@@ -49,6 +50,7 @@ public class ExpressionModule implements Module
 {
   public static final List<Class<? extends ExprMacroTable.ExprMacro>> EXPR_MACROS =
       ImmutableList.<Class<? extends ExprMacroTable.ExprMacro>>builder()
+                   .add(ArrayQuantileExprMacro.class)
                    .add(IPv4AddressMatchExprMacro.class)
                    .add(IPv4AddressParseExprMacro.class)
                    .add(IPv4AddressStringifyExprMacro.class)
diff --git a/sql/src/main/java/org/apache/druid/sql/calcite/expression/builtin/ArrayQuantileOperatorConversion.java b/sql/src/main/java/org/apache/druid/sql/calcite/expression/builtin/ArrayQuantileOperatorConversion.java
new file mode 100644
index 0000000000..e8d17a243a
--- /dev/null
+++ b/sql/src/main/java/org/apache/druid/sql/calcite/expression/builtin/ArrayQuantileOperatorConversion.java
@@ -0,0 +1,43 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+
+package org.apache.druid.sql.calcite.expression.builtin;
+
+import org.apache.calcite.sql.SqlFunction;
+import org.apache.calcite.sql.SqlFunctionCategory;
+import org.apache.calcite.sql.type.SqlTypeFamily;
+import org.apache.calcite.sql.type.SqlTypeName;
+import org.apache.druid.sql.calcite.expression.DirectOperatorConversion;
+import org.apache.druid.sql.calcite.expression.OperatorConversions;
+
+public class ArrayQuantileOperatorConversion extends DirectOperatorConversion
+{
+  private static final SqlFunction SQL_FUNCTION = OperatorConversions
+      .operatorBuilder("ARRAY_QUANTILE")
+      .operandTypes(SqlTypeFamily.ARRAY, SqlTypeFamily.NUMERIC)
+      .literalOperands(1)
+      .functionCategory(SqlFunctionCategory.NUMERIC)
+      .returnTypeNullable(SqlTypeName.DOUBLE)
+      .build();
+
+  public ArrayQuantileOperatorConversion()
+  {
+    super(SQL_FUNCTION, "array_quantile");
+  }
+}
diff --git a/sql/src/main/java/org/apache/druid/sql/calcite/planner/DruidOperatorTable.java b/sql/src/main/java/org/apache/druid/sql/calcite/planner/DruidOperatorTable.java
index 6c6044a672..2b0aa09e45 100644
--- a/sql/src/main/java/org/apache/druid/sql/calcite/planner/DruidOperatorTable.java
+++ b/sql/src/main/java/org/apache/druid/sql/calcite/planner/DruidOperatorTable.java
@@ -65,6 +65,7 @@ import org.apache.druid.sql.calcite.expression.builtin.ArrayOrdinalOfOperatorCon
 import org.apache.druid.sql.calcite.expression.builtin.ArrayOrdinalOperatorConversion;
 import org.apache.druid.sql.calcite.expression.builtin.ArrayOverlapOperatorConversion;
 import org.apache.druid.sql.calcite.expression.builtin.ArrayPrependOperatorConversion;
+import org.apache.druid.sql.calcite.expression.builtin.ArrayQuantileOperatorConversion;
 import org.apache.druid.sql.calcite.expression.builtin.ArraySliceOperatorConversion;
 import org.apache.druid.sql.calcite.expression.builtin.ArrayToStringOperatorConversion;
 import org.apache.druid.sql.calcite.expression.builtin.BTrimOperatorConversion;
@@ -225,6 +226,7 @@ public class DruidOperatorTable implements SqlOperatorTable
                    .add(new ArrayOrdinalOperatorConversion())
                    .add(new ArrayOffsetOfOperatorConversion())
                    .add(new ArrayOrdinalOfOperatorConversion())
+                   .add(new ArrayQuantileOperatorConversion())
                    .add(new ArraySliceOperatorConversion())
                    .add(new ArrayToStringOperatorConversion())
                    .add(new StringToArrayOperatorConversion())
diff --git a/sql/src/test/java/org/apache/druid/sql/calcite/CalciteArraysQueryTest.java b/sql/src/test/java/org/apache/druid/sql/calcite/CalciteArraysQueryTest.java
index 453a8f4ee7..90317a1fd1 100644
--- a/sql/src/test/java/org/apache/druid/sql/calcite/CalciteArraysQueryTest.java
+++ b/sql/src/test/java/org/apache/druid/sql/calcite/CalciteArraysQueryTest.java
@@ -1660,6 +1660,49 @@ public class CalciteArraysQueryTest extends BaseCalciteQueryTest
     );
   }
 
+  @Test
+  public void testArrayAggQuantile()
+  {
+    cannotVectorize();
+    testQuery(
+        "SELECT ARRAY_QUANTILE(ARRAY_AGG(l1), 0.9) FROM numfoo",
+        ImmutableList.of(
+            Druids.newTimeseriesQueryBuilder()
+                  .dataSource(CalciteTests.DATASOURCE3)
+                  .intervals(querySegmentSpec(Filtration.eternity()))
+                  .granularity(Granularities.ALL)
+                  .aggregators(
+                      aggregators(
+                          new ExpressionLambdaAggregatorFactory(
+                              "a0",
+                              ImmutableSet.of("l1"),
+                              "__acc",
+                              "ARRAY<LONG>[]",
+                              "ARRAY<LONG>[]",
+                              true,
+                              true,
+                              false,
+                              "array_append(\"__acc\", \"l1\")",
+                              "array_concat(\"__acc\", \"a0\")",
+                              null,
+                              null,
+                              ExpressionLambdaAggregatorFactory.DEFAULT_MAX_SIZE_BYTES,
+                              TestExprMacroTable.INSTANCE
+                          )
+                      )
+                  )
+                  .postAggregators(
+                      expressionPostAgg("p0", "array_quantile(\"a0\",0.9)")
+                  )
+                  .context(QUERY_CONTEXT_DEFAULT)
+                  .build()
+        ),
+        // Different results because there are some nulls in the column. In SQL-compatible mode we ignore them;
+        // in replace-with-default mode we treat them as zeroes.
+        ImmutableList.of(new Object[]{NullHandling.sqlCompatible() ? 260259.80000000002 : 162665.0})
+    );
+  }
+
   @Test
   public void testArrayAggArrays()
   {


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