viirya commented on code in PR #6883:
URL: https://github.com/apache/datafusion-comet/pull/6883#discussion_r4266389002


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spark-local/src/main/scala/org/apache/comet/local/CometLocalResultExec.scala:
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@@ -0,0 +1,122 @@
+/*
+ * 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.comet.local
+
+import java.util.concurrent.ConcurrentHashMap
+import java.util.concurrent.atomic.AtomicLong
+
+import scala.collection.mutable.ArrayBuffer
+
+import org.apache.spark.SparkException
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.{Attribute, SortOrder, 
UnsafeRow}
+import org.apache.spark.sql.catalyst.plans.physical.Partitioning
+import org.apache.spark.sql.execution.{SparkPlan, UnaryExecNode}
+
+/**
+ * Row result boundary of a local query. Spark's collect encodes and 
compresses every row of a
+ * result partition in its task, then decodes them on the driver. A local 
query has one result
+ * partition, so that work would run on a single thread. Admission requires an 
in-process local
+ * master, so collect and take still run one Spark task (keeping cancellation, 
job groups and SQL
+ * metrics) but hand copied rows to the driver in this JVM.
+ */
+case class CometLocalResultExec(child: SparkPlan) extends UnaryExecNode {

Review Comment:
   Agreed, a single result partition defeats `executeToIterator`, which fetches 
one partition at a time to bound what the driver holds. Rather than a bounded 
handoff from a task that keeps running behind the iterator, which would also 
need cancellation when the iterator is abandoned, 
`CometLocalResultExec.executeToIterator` now runs the admitted native block as 
ordinary Comet execution, one Spark task per partition (89f4adae9). 
`toLocalIterator` and the Thrift server's incremental collect then behave as 
without local execution, including how `spark.driver.maxResultSize` applies, at 
the cost of local execution's speedup for these iterator actions. A test checks 
that the iterator runs one job per partition and matches Spark.
   
   PySpark's `toLocalIterator` goes through `javaToPython` and the result RDD 
instead, so it still receives the whole result as one partition. The docs now 
list that as a limitation; addressing it would need the local result RDD to 
expose more than one partition.
   



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