hvanhovell commented on a change in pull request #26434: [SPARK-29544] [SQL] 
optimize skewed partition based on data size
URL: https://github.com/apache/spark/pull/26434#discussion_r366346221

 File path: 
 @@ -0,0 +1,78 @@
+ * 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.spark.sql.execution.adaptive
+import org.apache.spark._
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.execution.metric.{SQLMetric, 
+ * The [[Partition]] used by [[SkewedShuffledRowRDD]].
+ */
+class SkewedShuffledRowRDDPartition(override val index: Int) extends Partition
+ * This is a specialized version of 
[[org.apache.spark.sql.execution.ShuffledRowRDD]]. This is used
+ * in Spark SQL adaptive execution to solve data skew issues. This RDD 
includes rearranged
+ * partitions from mappers.
+ *
+ * This RDD takes a [[ShuffleDependency]] (`dependency`), a partitionIndex
+ * and the range of startMapIndex to endMapIndex.
+ */
+class SkewedShuffledRowRDD(
 Review comment:
   Why do we need a separate implementation of the shuffled row RDD? I am 
wondering if we can combine them all, and have a couple of partition 
implementations depending on which (mapper/reducer) coordinate we need to read 

This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:

With regards,
Apache Git Services

To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org

Reply via email to