diff --git a/docs/additional-functionality/advanced_configs.md b/docs/additional-functionality/advanced_configs.md
index 70a19fea0dd..cb930f64164 100644
--- a/docs/additional-functionality/advanced_configs.md
+++ b/docs/additional-functionality/advanced_configs.md
@@ -184,6 +184,7 @@ Name | SQL Function(s) | Description | Default Value | Notes
 <a name="sql.expression.ArrayContains"></a>spark.rapids.sql.expression.ArrayContains|`array_contains`|Returns a boolean if the array contains the passed in key|true|None|
 <a name="sql.expression.ArrayExcept"></a>spark.rapids.sql.expression.ArrayExcept|`array_except`|Returns an array of the elements in array1 but not in array2, without duplicates|true|This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal, but the CPU implementation currently does not (see SPARK-39845). Also, Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+|
 <a name="sql.expression.ArrayExists"></a>spark.rapids.sql.expression.ArrayExists|`exists`|Return true if any element satisfies the predicate LambdaFunction|true|None|
+<a name="sql.expression.ArrayFilter"></a>spark.rapids.sql.expression.ArrayFilter|`filter`|Filter an input array using a given predicate|true|None|
 <a name="sql.expression.ArrayIntersect"></a>spark.rapids.sql.expression.ArrayIntersect|`array_intersect`|Returns an array of the elements in the intersection of array1 and array2, without duplicates|true|This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal, but the CPU implementation currently does not (see SPARK-39845). Also, Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+|
 <a name="sql.expression.ArrayMax"></a>spark.rapids.sql.expression.ArrayMax|`array_max`|Returns the maximum value in the array|true|None|
 <a name="sql.expression.ArrayMin"></a>spark.rapids.sql.expression.ArrayMin|`array_min`|Returns the minimum value in the array|true|None|
diff --git a/docs/supported_ops.md b/docs/supported_ops.md
index 8d89c839a2e..abba4a34d0c 100644
--- a/docs/supported_ops.md
+++ b/docs/supported_ops.md
@@ -2288,6 +2288,74 @@ are limited.
 <td> </td>
 </tr>
 <tr>
+<td rowSpan="3">ArrayFilter</td>
+<td rowSpan="3">`filter`</td>
+<td rowSpan="3">Filter an input array using a given predicate</td>
+<td rowSpan="3">None</td>
+<td rowSpan="3">project</td>
+<td>argument</td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td><em>PS<br/>UTC is only supported TZ for child TIMESTAMP;<br/>unsupported child types BINARY, CALENDAR, UDT</em></td>
+<td> </td>
+<td> </td>
+<td> </td>
+</tr>
+<tr>
+<td>function</td>
+<td>S</td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+</tr>
+<tr>
+<td>result</td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td> </td>
+<td><em>PS<br/>UTC is only supported TZ for child TIMESTAMP;<br/>unsupported child types BINARY, CALENDAR, UDT</em></td>
+<td> </td>
+<td> </td>
+<td> </td>
+</tr>
+<tr>
 <td rowSpan="3">ArrayIntersect</td>
 <td rowSpan="3">`array_intersect`</td>
 <td rowSpan="3">Returns an array of the elements in the intersection of array1 and array2, without duplicates</td>
@@ -2518,6 +2586,32 @@ are limited.
 <td> </td>
 </tr>
 <tr>
+<th>Expression</th>
+<th>SQL Functions(s)</th>
+<th>Description</th>
+<th>Notes</th>
+<th>Context</th>
+<th>Param/Output</th>
+<th>BOOLEAN</th>
+<th>BYTE</th>
+<th>SHORT</th>
+<th>INT</th>
+<th>LONG</th>
+<th>FLOAT</th>
+<th>DOUBLE</th>
+<th>DATE</th>
+<th>TIMESTAMP</th>
+<th>STRING</th>
+<th>DECIMAL</th>
+<th>NULL</th>
+<th>BINARY</th>
+<th>CALENDAR</th>
+<th>ARRAY</th>
+<th>MAP</th>
+<th>STRUCT</th>
+<th>UDT</th>
+</tr>
+<tr>
 <td rowSpan="3">ArrayRepeat</td>
 <td rowSpan="3">`array_repeat`</td>
 <td rowSpan="3">Returns the array containing the given input value (left) count (right) times</td>
@@ -2586,32 +2680,6 @@ are limited.
 <td> </td>
 </tr>
 <tr>
-<th>Expression</th>
-<th>SQL Functions(s)</th>
-<th>Description</th>
-<th>Notes</th>
-<th>Context</th>
-<th>Param/Output</th>
-<th>BOOLEAN</th>
-<th>BYTE</th>
-<th>SHORT</th>
-<th>INT</th>
-<th>LONG</th>
-<th>FLOAT</th>
-<th>DOUBLE</th>
-<th>DATE</th>
-<th>TIMESTAMP</th>
-<th>STRING</th>
-<th>DECIMAL</th>
-<th>NULL</th>
-<th>BINARY</th>
-<th>CALENDAR</th>
-<th>ARRAY</th>
-<th>MAP</th>
-<th>STRUCT</th>
-<th>UDT</th>
-</tr>
-<tr>
 <td rowSpan="3">ArrayTransform</td>
 <td rowSpan="3">`transform`</td>
 <td rowSpan="3">Transform elements in an array using the transform function. This is similar to a `map` in functional programming</td>
@@ -2910,6 +2978,32 @@ are limited.
 <td> </td>
 </tr>
 <tr>
+<th>Expression</th>
+<th>SQL Functions(s)</th>
+<th>Description</th>
+<th>Notes</th>
+<th>Context</th>
+<th>Param/Output</th>
+<th>BOOLEAN</th>
+<th>BYTE</th>
+<th>SHORT</th>
+<th>INT</th>
+<th>LONG</th>
+<th>FLOAT</th>
+<th>DOUBLE</th>
+<th>DATE</th>
+<th>TIMESTAMP</th>
+<th>STRING</th>
+<th>DECIMAL</th>
+<th>NULL</th>
+<th>BINARY</th>
+<th>CALENDAR</th>
+<th>ARRAY</th>
+<th>MAP</th>
+<th>STRUCT</th>
+<th>UDT</th>
+</tr>
+<tr>
 <td rowSpan="4">Asin</td>
 <td rowSpan="4">`asin`</td>
 <td rowSpan="4">Inverse sine</td>
@@ -3000,32 +3094,6 @@ are limited.
 <td> </td>
 </tr>
 <tr>
-<th>Expression</th>
-<th>SQL Functions(s)</th>
-<th>Description</th>
-<th>Notes</th>
-<th>Context</th>
-<th>Param/Output</th>
-<th>BOOLEAN</th>
-<th>BYTE</th>
-<th>SHORT</th>
-<th>INT</th>
-<th>LONG</th>
-<th>FLOAT</th>
-<th>DOUBLE</th>
-<th>DATE</th>
-<th>TIMESTAMP</th>
-<th>STRING</th>
-<th>DECIMAL</th>
-<th>NULL</th>
-<th>BINARY</th>
-<th>CALENDAR</th>
-<th>ARRAY</th>
-<th>MAP</th>
-<th>STRUCT</th>
-<th>UDT</th>
-</tr>
-<tr>
 <td rowSpan="4">Asinh</td>
 <td rowSpan="4">`asinh`</td>
 <td rowSpan="4">Inverse hyperbolic sine</td>
@@ -3343,6 +3411,32 @@ are limited.
 <td> </td>
 </tr>
 <tr>
+<th>Expression</th>
+<th>SQL Functions(s)</th>
+<th>Description</th>
+<th>Notes</th>
+<th>Context</th>
+<th>Param/Output</th>
+<th>BOOLEAN</th>
+<th>BYTE</th>
+<th>SHORT</th>
+<th>INT</th>
+<th>LONG</th>
+<th>FLOAT</th>
+<th>DOUBLE</th>
+<th>DATE</th>
+<th>TIMESTAMP</th>
+<th>STRING</th>
+<th>DECIMAL</th>
+<th>NULL</th>
+<th>BINARY</th>
+<th>CALENDAR</th>
+<th>ARRAY</th>
+<th>MAP</th>
+<th>STRUCT</th>
+<th>UDT</th>
+</tr>
+<tr>
 <td rowSpan="2">AttributeReference</td>
 <td rowSpan="2"> </td>
 <td rowSpan="2">References an input column</td>
@@ -3391,32 +3485,6 @@ are limited.
 <td><b>NS</b></td>
 </tr>
 <tr>
-<th>Expression</th>
-<th>SQL Functions(s)</th>
-<th>Description</th>
-<th>Notes</th>
-<th>Context</th>
-<th>Param/Output</th>
-<th>BOOLEAN</th>
-<th>BYTE</th>
-<th>SHORT</th>
-<th>INT</th>
-<th>LONG</th>
-<th>FLOAT</th>
-<th>DOUBLE</th>
-<th>DATE</th>
-<th>TIMESTAMP</th>
-<th>STRING</th>
-<th>DECIMAL</th>
-<th>NULL</th>
-<th>BINARY</th>
-<th>CALENDAR</th>
-<th>ARRAY</th>
-<th>MAP</th>
-<th>STRUCT</th>
-<th>UDT</th>
-</tr>
-<tr>
 <td rowSpan="3">BRound</td>
 <td rowSpan="3">`bround`</td>
 <td rowSpan="3">Round an expression to d decimal places using HALF_EVEN rounding mode</td>
diff --git a/integration_tests/src/main/python/array_test.py b/integration_tests/src/main/python/array_test.py
index e2d7d1b5c81..0b98bd23439 100644
--- a/integration_tests/src/main/python/array_test.py
+++ b/integration_tests/src/main/python/array_test.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2020-2023, NVIDIA CORPORATION.
+# Copyright (c) 2020-2024, NVIDIA CORPORATION.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -449,6 +449,33 @@ def do_it(spark):
     })
 
 
+@pytest.mark.parametrize('data_gen', [
+    ArrayGen(string_gen), 
+    ArrayGen(int_gen),
+    ArrayGen(ArrayGen(int_gen)),
+    ArrayGen(ArrayGen(StructGen([["A", int_gen], ["B", string_gen]])))], ids=idfn)
+def test_array_filter(data_gen):
+    def do_it(spark):
+        columns = ['a']
+        element_type = data_gen.data_type.elementType
+        if isinstance(element_type, IntegralType):
+            columns.extend([
+                'filter(a, item -> item % 2 = 0) as filter_even',
+                'filter(a, item -> item < 0) as filter_negative',
+                'filter(a, item -> item >= 0) as filter_non_negative'
+            ])
+
+        if isinstance(element_type, StringType):
+            columns.extend(['filter(a, entry -> length(entry) > 5) as filter_longer_than_5'])
+
+        if isinstance(element_type, ArrayType):
+            columns.extend(['filter(a, entry -> size(entry) < 5) as filter_shorter_than_5'])
+
+        return unary_op_df(spark, data_gen).selectExpr(columns)
+
+    assert_gpu_and_cpu_are_equal_collect(do_it)
+
+
 array_zips_gen = array_gens_sample + [ArrayGen(map_string_string_gen[0], max_length=5),
                                       ArrayGen(BinaryGen(max_length=5), max_length=5)]
 
diff --git a/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala b/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala
index 318c72deb68..27bdb018284 100644
--- a/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala
+++ b/sql-plugin/src/main/scala/com/nvidia/spark/rapids/GpuOverrides.scala
@@ -2737,6 +2737,25 @@ object GpuOverrides extends Logging {
           )
         }
       }),
+    expr[ArrayFilter](
+      "Filter an input array using a given predicate",
+      ExprChecks.projectOnly(TypeSig.ARRAY.nested(TypeSig.commonCudfTypes +
+        TypeSig.DECIMAL_128 + TypeSig.NULL + TypeSig.ARRAY + TypeSig.STRUCT + TypeSig.MAP),
+        TypeSig.ARRAY.nested(TypeSig.all),
+        Seq(
+          ParamCheck("argument",
+            TypeSig.ARRAY.nested(TypeSig.commonCudfTypes + TypeSig.DECIMAL_128 + TypeSig.NULL +
+              TypeSig.ARRAY + TypeSig.STRUCT + TypeSig.MAP),
+            TypeSig.ARRAY.nested(TypeSig.all)),
+          ParamCheck("function", TypeSig.BOOLEAN, TypeSig.BOOLEAN))),
+      (in, conf, p, r) => new ExprMeta[ArrayFilter](in, conf, p, r) {
+        override def convertToGpu(): GpuExpression = {
+          GpuArrayFilter(
+            childExprs.head.convertToGpu(),
+            childExprs(1).convertToGpu()
+          )
+        }
+      }),
     // TODO: fix the signature https://github.com/NVIDIA/spark-rapids/issues/5327
     expr[ArraysZip](
       "Returns a merged array of structs in which the N-th struct contains" +
diff --git a/sql-plugin/src/main/scala/com/nvidia/spark/rapids/higherOrderFunctions.scala b/sql-plugin/src/main/scala/com/nvidia/spark/rapids/higherOrderFunctions.scala
index 2093b52256e..3a4e3eeb321 100644
--- a/sql-plugin/src/main/scala/com/nvidia/spark/rapids/higherOrderFunctions.scala
+++ b/sql-plugin/src/main/scala/com/nvidia/spark/rapids/higherOrderFunctions.scala
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2021-2023, NVIDIA CORPORATION.
+ * Copyright (c) 2021-2024, NVIDIA CORPORATION.
  *
  * Licensed under the Apache License, Version 2.0 (the "License");
  * you may not use this file except in compliance with the License.
@@ -20,7 +20,7 @@ import scala.collection.mutable
 
 import ai.rapids.cudf
 import ai.rapids.cudf.{DType, Table}
-import com.nvidia.spark.rapids.Arm.withResource
+import com.nvidia.spark.rapids.Arm.{closeOnExcept, withResource}
 import com.nvidia.spark.rapids.RapidsPluginImplicits.ReallyAGpuExpression
 import com.nvidia.spark.rapids.shims.ShimExpression
 
@@ -275,10 +275,13 @@ trait GpuArrayTransformBase extends GpuSimpleHigherOrderFunction {
   }
 
   /*
-   * Post-process the column view of the array after applying the function parameter
+   * Post-process the column view of the array after applying the function parameter.
+   * @param lambdaTransformedCV the results of the lambda expression running
+   * @param arg the original input array from the expression.
    */
   protected def transformListColumnView(
-    lambdaTransformedCV: cudf.ColumnView): GpuColumnVector
+    lambdaTransformedCV: cudf.ColumnView,
+    arg: cudf.ColumnView): GpuColumnVector
 
   override def columnarEval(batch: ColumnarBatch): GpuColumnVector = {
     withResource(argument.columnarEval(batch)) { arg =>
@@ -287,13 +290,14 @@ trait GpuArrayTransformBase extends GpuSimpleHigherOrderFunction {
       }
       withResource(dataCol) { _ =>
         val cv = GpuListUtils.replaceListDataColumnAsView(arg.getBase, dataCol.getBase)
-        withResource(cv)(transformListColumnView)
+        withResource(cv) { cv =>
+          transformListColumnView(cv, arg.getBase)
+        }
       }
     }
   }
 }
 
-
 case class GpuArrayTransform(
   argument: Expression,
   function: Expression,
@@ -311,12 +315,11 @@ case class GpuArrayTransform(
   }
 
   override protected def transformListColumnView(
-    lambdaTransformedCV: cudf.ColumnView): GpuColumnVector = {
+    lambdaTransformedCV: cudf.ColumnView, arg: cudf.ColumnView): GpuColumnVector = {
     GpuColumnVector.from(lambdaTransformedCV.copyToColumnVector(), dataType)
   }
 }
 
-
 case class GpuArrayExists(
     argument: Expression,
     function: Expression,
@@ -402,7 +405,8 @@ case class GpuArrayExists(
   }
 
   override protected def transformListColumnView(
-    lambdaTransformedCV: cudf.ColumnView
+    lambdaTransformedCV: cudf.ColumnView,
+    arg: cudf.ColumnView
   ): GpuColumnVector = {
     withResource(exists(lambdaTransformedCV)) { existsCV =>
       // exists is false for empty arrays
@@ -415,6 +419,29 @@ case class GpuArrayExists(
 
 }
 
+case class GpuArrayFilter(
+    argument: Expression,
+    function: Expression,
+    isBound: Boolean = false,
+    boundIntermediate: Seq[GpuExpression] = Seq.empty) extends GpuArrayTransformBase {
+
+  override def dataType: DataType = argument.dataType
+
+  override def nodeName: String = "filter"
+
+  override def bind(input: AttributeSeq): GpuExpression = {
+    val (boundFunc, boundArg, boundIntermediate) = bindLambdaFunc(input)
+    GpuArrayFilter(boundArg, boundFunc,isBound = true, boundIntermediate)
+  }
+
+  override protected def transformListColumnView(lambdaTransformedCV: cudf.ColumnView,
+                                                 arg: cudf.ColumnView): GpuColumnVector = {
+    closeOnExcept(arg.applyBooleanMask(lambdaTransformedCV)) { ret =>
+      GpuColumnVector.from(ret, dataType)
+    }
+  }
+}
+
 trait GpuMapSimpleHigherOrderFunction extends GpuSimpleHigherOrderFunction with GpuBind {
 
   protected def isBound: Boolean
diff --git a/tools/generated_files/311/operatorsScore.csv b/tools/generated_files/311/operatorsScore.csv
index 10ceb96336d..65f76bd1c36 100644
--- a/tools/generated_files/311/operatorsScore.csv
+++ b/tools/generated_files/311/operatorsScore.csv
@@ -48,6 +48,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/311/supportedExprs.csv b/tools/generated_files/311/supportedExprs.csv
index 7a85d11b672..af0c5f1edd6 100644
--- a/tools/generated_files/311/supportedExprs.csv
+++ b/tools/generated_files/311/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
diff --git a/tools/generated_files/312/operatorsScore.csv b/tools/generated_files/312/operatorsScore.csv
index 10ceb96336d..65f76bd1c36 100644
--- a/tools/generated_files/312/operatorsScore.csv
+++ b/tools/generated_files/312/operatorsScore.csv
@@ -48,6 +48,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/312/supportedExprs.csv b/tools/generated_files/312/supportedExprs.csv
index 7a85d11b672..af0c5f1edd6 100644
--- a/tools/generated_files/312/supportedExprs.csv
+++ b/tools/generated_files/312/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
diff --git a/tools/generated_files/313/operatorsScore.csv b/tools/generated_files/313/operatorsScore.csv
index 10ceb96336d..65f76bd1c36 100644
--- a/tools/generated_files/313/operatorsScore.csv
+++ b/tools/generated_files/313/operatorsScore.csv
@@ -48,6 +48,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/313/supportedExprs.csv b/tools/generated_files/313/supportedExprs.csv
index 7a85d11b672..af0c5f1edd6 100644
--- a/tools/generated_files/313/supportedExprs.csv
+++ b/tools/generated_files/313/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
diff --git a/tools/generated_files/320/operatorsScore.csv b/tools/generated_files/320/operatorsScore.csv
index c600071cb30..354875afa92 100644
--- a/tools/generated_files/320/operatorsScore.csv
+++ b/tools/generated_files/320/operatorsScore.csv
@@ -52,6 +52,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/320/supportedExprs.csv b/tools/generated_files/320/supportedExprs.csv
index 9f88ddda01b..43256eeb9b5 100644
--- a/tools/generated_files/320/supportedExprs.csv
+++ b/tools/generated_files/320/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/321/operatorsScore.csv b/tools/generated_files/321/operatorsScore.csv
index c600071cb30..354875afa92 100644
--- a/tools/generated_files/321/operatorsScore.csv
+++ b/tools/generated_files/321/operatorsScore.csv
@@ -52,6 +52,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/321/supportedExprs.csv b/tools/generated_files/321/supportedExprs.csv
index 9f88ddda01b..43256eeb9b5 100644
--- a/tools/generated_files/321/supportedExprs.csv
+++ b/tools/generated_files/321/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/321cdh/operatorsScore.csv b/tools/generated_files/321cdh/operatorsScore.csv
index c600071cb30..354875afa92 100644
--- a/tools/generated_files/321cdh/operatorsScore.csv
+++ b/tools/generated_files/321cdh/operatorsScore.csv
@@ -52,6 +52,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/321cdh/supportedExprs.csv b/tools/generated_files/321cdh/supportedExprs.csv
index 9f88ddda01b..43256eeb9b5 100644
--- a/tools/generated_files/321cdh/supportedExprs.csv
+++ b/tools/generated_files/321cdh/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/322/operatorsScore.csv b/tools/generated_files/322/operatorsScore.csv
index c600071cb30..354875afa92 100644
--- a/tools/generated_files/322/operatorsScore.csv
+++ b/tools/generated_files/322/operatorsScore.csv
@@ -52,6 +52,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/322/supportedExprs.csv b/tools/generated_files/322/supportedExprs.csv
index 9f88ddda01b..43256eeb9b5 100644
--- a/tools/generated_files/322/supportedExprs.csv
+++ b/tools/generated_files/322/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/323/operatorsScore.csv b/tools/generated_files/323/operatorsScore.csv
index c600071cb30..354875afa92 100644
--- a/tools/generated_files/323/operatorsScore.csv
+++ b/tools/generated_files/323/operatorsScore.csv
@@ -52,6 +52,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/323/supportedExprs.csv b/tools/generated_files/323/supportedExprs.csv
index 9f88ddda01b..43256eeb9b5 100644
--- a/tools/generated_files/323/supportedExprs.csv
+++ b/tools/generated_files/323/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/324/operatorsScore.csv b/tools/generated_files/324/operatorsScore.csv
index c600071cb30..354875afa92 100644
--- a/tools/generated_files/324/operatorsScore.csv
+++ b/tools/generated_files/324/operatorsScore.csv
@@ -52,6 +52,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/324/supportedExprs.csv b/tools/generated_files/324/supportedExprs.csv
index 9f88ddda01b..43256eeb9b5 100644
--- a/tools/generated_files/324/supportedExprs.csv
+++ b/tools/generated_files/324/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/330/operatorsScore.csv b/tools/generated_files/330/operatorsScore.csv
index b47c1919ac6..035c60229c7 100644
--- a/tools/generated_files/330/operatorsScore.csv
+++ b/tools/generated_files/330/operatorsScore.csv
@@ -53,6 +53,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/330/supportedExprs.csv b/tools/generated_files/330/supportedExprs.csv
index 28103fbe96a..8e12f247870 100644
--- a/tools/generated_files/330/supportedExprs.csv
+++ b/tools/generated_files/330/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/330cdh/operatorsScore.csv b/tools/generated_files/330cdh/operatorsScore.csv
index b47c1919ac6..035c60229c7 100644
--- a/tools/generated_files/330cdh/operatorsScore.csv
+++ b/tools/generated_files/330cdh/operatorsScore.csv
@@ -53,6 +53,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/330cdh/supportedExprs.csv b/tools/generated_files/330cdh/supportedExprs.csv
index 28103fbe96a..8e12f247870 100644
--- a/tools/generated_files/330cdh/supportedExprs.csv
+++ b/tools/generated_files/330cdh/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/331/operatorsScore.csv b/tools/generated_files/331/operatorsScore.csv
index 234986322a0..9bbb7badf4c 100644
--- a/tools/generated_files/331/operatorsScore.csv
+++ b/tools/generated_files/331/operatorsScore.csv
@@ -53,6 +53,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/331/supportedExprs.csv b/tools/generated_files/331/supportedExprs.csv
index 41248163b64..35d6333476a 100644
--- a/tools/generated_files/331/supportedExprs.csv
+++ b/tools/generated_files/331/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/332/operatorsScore.csv b/tools/generated_files/332/operatorsScore.csv
index 234986322a0..9bbb7badf4c 100644
--- a/tools/generated_files/332/operatorsScore.csv
+++ b/tools/generated_files/332/operatorsScore.csv
@@ -53,6 +53,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/332/supportedExprs.csv b/tools/generated_files/332/supportedExprs.csv
index 41248163b64..35d6333476a 100644
--- a/tools/generated_files/332/supportedExprs.csv
+++ b/tools/generated_files/332/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/332cdh/operatorsScore.csv b/tools/generated_files/332cdh/operatorsScore.csv
index 234986322a0..9bbb7badf4c 100644
--- a/tools/generated_files/332cdh/operatorsScore.csv
+++ b/tools/generated_files/332cdh/operatorsScore.csv
@@ -53,6 +53,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/332cdh/supportedExprs.csv b/tools/generated_files/332cdh/supportedExprs.csv
index 41248163b64..35d6333476a 100644
--- a/tools/generated_files/332cdh/supportedExprs.csv
+++ b/tools/generated_files/332cdh/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/333/operatorsScore.csv b/tools/generated_files/333/operatorsScore.csv
index 234986322a0..9bbb7badf4c 100644
--- a/tools/generated_files/333/operatorsScore.csv
+++ b/tools/generated_files/333/operatorsScore.csv
@@ -53,6 +53,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/333/supportedExprs.csv b/tools/generated_files/333/supportedExprs.csv
index 41248163b64..35d6333476a 100644
--- a/tools/generated_files/333/supportedExprs.csv
+++ b/tools/generated_files/333/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/334/operatorsScore.csv b/tools/generated_files/334/operatorsScore.csv
index 234986322a0..9bbb7badf4c 100644
--- a/tools/generated_files/334/operatorsScore.csv
+++ b/tools/generated_files/334/operatorsScore.csv
@@ -53,6 +53,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/334/supportedExprs.csv b/tools/generated_files/334/supportedExprs.csv
index 41248163b64..35d6333476a 100644
--- a/tools/generated_files/334/supportedExprs.csv
+++ b/tools/generated_files/334/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/340/operatorsScore.csv b/tools/generated_files/340/operatorsScore.csv
index 692a4694e98..c7d246f3fe9 100644
--- a/tools/generated_files/340/operatorsScore.csv
+++ b/tools/generated_files/340/operatorsScore.csv
@@ -54,6 +54,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/340/supportedExprs.csv b/tools/generated_files/340/supportedExprs.csv
index a549c85e2ef..1f5d3237d2a 100644
--- a/tools/generated_files/340/supportedExprs.csv
+++ b/tools/generated_files/340/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/341/operatorsScore.csv b/tools/generated_files/341/operatorsScore.csv
index 692a4694e98..c7d246f3fe9 100644
--- a/tools/generated_files/341/operatorsScore.csv
+++ b/tools/generated_files/341/operatorsScore.csv
@@ -54,6 +54,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/341/supportedExprs.csv b/tools/generated_files/341/supportedExprs.csv
index a549c85e2ef..1f5d3237d2a 100644
--- a/tools/generated_files/341/supportedExprs.csv
+++ b/tools/generated_files/341/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/342/operatorsScore.csv b/tools/generated_files/342/operatorsScore.csv
index 692a4694e98..c7d246f3fe9 100644
--- a/tools/generated_files/342/operatorsScore.csv
+++ b/tools/generated_files/342/operatorsScore.csv
@@ -54,6 +54,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/342/supportedExprs.csv b/tools/generated_files/342/supportedExprs.csv
index a549c85e2ef..1f5d3237d2a 100644
--- a/tools/generated_files/342/supportedExprs.csv
+++ b/tools/generated_files/342/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/343/operatorsScore.csv b/tools/generated_files/343/operatorsScore.csv
index 692a4694e98..c7d246f3fe9 100644
--- a/tools/generated_files/343/operatorsScore.csv
+++ b/tools/generated_files/343/operatorsScore.csv
@@ -54,6 +54,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/343/supportedExprs.csv b/tools/generated_files/343/supportedExprs.csv
index b038850495b..1f5d3237d2a 100644
--- a/tools/generated_files/343/supportedExprs.csv
+++ b/tools/generated_files/343/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
@@ -290,9 +293,9 @@ IsNull,S,`isnull`,None,project,input,S,S,S,S,S,S,S,S,PS,S,S,S,S,NS,PS,PS,PS,NS,S
 IsNull,S,`isnull`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 JsonToStructs,NS,`from_json`,This is disabled by default because it is currently in beta and undergoes continuous enhancements. Please consult the [compatibility documentation](../compatibility.md#json-supporting-types) to determine whether you can enable this configuration for your use case,project,jsonStr,NA,NA,NA,NA,NA,NA,NA,NA,NA,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 JsonToStructs,NS,`from_json`,This is disabled by default because it is currently in beta and undergoes continuous enhancements. Please consult the [compatibility documentation](../compatibility.md#json-supporting-types) to determine whether you can enable this configuration for your use case,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NS,PS,PS,NA,NA,NA
-JsonTuple,NS,`json_tuple`,This is disabled by default because JsonTuple on the GPU does not support all of the normalization that the CPU supports.,project,json,NA,NA,NA,NA,NA,NA,NA,NA,NA,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
-JsonTuple,NS,`json_tuple`,This is disabled by default because JsonTuple on the GPU does not support all of the normalization that the CPU supports.,project,field,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
-JsonTuple,NS,`json_tuple`,This is disabled by default because JsonTuple on the GPU does not support all of the normalization that the CPU supports.,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,S,NA,NA,NA,NA,NA
+JsonTuple,NS,`json_tuple`,This is disabled by default because Experimental feature that could be unstable or have performance issues.,project,json,NA,NA,NA,NA,NA,NA,NA,NA,NA,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+JsonTuple,NS,`json_tuple`,This is disabled by default because Experimental feature that could be unstable or have performance issues.,project,field,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+JsonTuple,NS,`json_tuple`,This is disabled by default because Experimental feature that could be unstable or have performance issues.,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,S,NA,NA,NA,NA,NA
 KnownFloatingPointNormalized,S, ,None,project,input,S,S,S,S,S,S,S,S,PS,S,S,S,S,S,PS,PS,PS,S,S,S
 KnownFloatingPointNormalized,S, ,None,project,result,S,S,S,S,S,S,S,S,PS,S,S,S,S,S,PS,PS,PS,S,S,S
 KnownNotNull,S, ,None,project,input,S,S,S,S,S,S,S,S,PS,S,S,NS,S,S,PS,PS,PS,NS,NS,NS
diff --git a/tools/generated_files/350/operatorsScore.csv b/tools/generated_files/350/operatorsScore.csv
index 50b7084026c..e9c010515e2 100644
--- a/tools/generated_files/350/operatorsScore.csv
+++ b/tools/generated_files/350/operatorsScore.csv
@@ -55,6 +55,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/350/supportedExprs.csv b/tools/generated_files/350/supportedExprs.csv
index 8305bf9ee64..9d9451a0a0d 100644
--- a/tools/generated_files/350/supportedExprs.csv
+++ b/tools/generated_files/350/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/351/operatorsScore.csv b/tools/generated_files/351/operatorsScore.csv
index 50b7084026c..e9c010515e2 100644
--- a/tools/generated_files/351/operatorsScore.csv
+++ b/tools/generated_files/351/operatorsScore.csv
@@ -55,6 +55,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/351/supportedExprs.csv b/tools/generated_files/351/supportedExprs.csv
index 8305bf9ee64..9d9451a0a0d 100644
--- a/tools/generated_files/351/supportedExprs.csv
+++ b/tools/generated_files/351/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA,NA,NA
diff --git a/tools/generated_files/operatorsScore.csv b/tools/generated_files/operatorsScore.csv
index 10ceb96336d..65f76bd1c36 100644
--- a/tools/generated_files/operatorsScore.csv
+++ b/tools/generated_files/operatorsScore.csv
@@ -48,6 +48,7 @@ ApproximatePercentile,4
 ArrayContains,4
 ArrayExcept,4
 ArrayExists,4
+ArrayFilter,4
 ArrayIntersect,4
 ArrayMax,4
 ArrayMin,4
diff --git a/tools/generated_files/supportedExprs.csv b/tools/generated_files/supportedExprs.csv
index 7a85d11b672..af0c5f1edd6 100644
--- a/tools/generated_files/supportedExprs.csv
+++ b/tools/generated_files/supportedExprs.csv
@@ -36,6 +36,9 @@ ArrayExcept,S,`array_except`,This is not 100% compatible with the Spark version
 ArrayExists,S,`exists`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayExists,S,`exists`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
 ArrayExists,S,`exists`,None,project,result,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,argument,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,function,S,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
+ArrayFilter,S,`filter`,None,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array1,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,array2,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA
 ArrayIntersect,S,`array_intersect`,This is not 100% compatible with the Spark version because the GPU implementation treats -0.0 and 0.0 as equal; but the CPU implementation currently does not (see SPARK-39845). Also; Apache Spark 3.1.3 fixed issue SPARK-36741 where NaNs in these set like operators were not treated as being equal. We have chosen to break with compatibility for the older versions of Spark in this instance and handle NaNs the same as 3.1.3+,project,result,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,PS,NA,NA,NA