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https://issues.apache.org/jira/browse/SPARK-26193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Reynold Xin updated SPARK-26193:
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Comment: was deleted
(was: rxin commented on a change in pull request #23207: [SPARK-26193][SQL]
Implement shuffle write metrics in SQL
URL: https://github.com/apache/spark/pull/23207#discussion_r240394461
##########
File path:
core/src/main/scala/org/apache/spark/shuffle/ShuffleWriteProcessor.scala
##########
@@ -0,0 +1,74 @@
+/*
+ * 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.shuffle
+
+import org.apache.spark.{Partition, ShuffleDependency, SparkEnv, TaskContext}
+import org.apache.spark.internal.Logging
+import org.apache.spark.rdd.RDD
+import org.apache.spark.scheduler.MapStatus
+
+/**
+ * The interface for customizing shuffle write process. The driver create a
ShuffleWriteProcessor
+ * and put it into [[ShuffleDependency]], and executors use it in each
ShuffleMapTask.
+ */
+private[spark] class ShuffleWriteProcessor extends Serializable with Logging {
+
+ /**
+ * Create a [[ShuffleWriteMetricsReporter]] from the task context. As the
reporter is a
+ * per-row operator, here need a careful consideration on performance.
+ */
+ protected def createMetricsReporter(context: TaskContext):
ShuffleWriteMetricsReporter = {
+ context.taskMetrics().shuffleWriteMetrics
+ }
+
+ /**
+ * The write process for particular partition, it controls the life circle
of [[ShuffleWriter]]
+ * get from [[ShuffleManager]] and triggers rdd compute, finally return the
[[MapStatus]] for
+ * this task.
+ */
+ def writeProcess(
Review comment:
a nit: it's weird to call this "writeProcess". Maybe just "write", or just
"process".
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)
> Implement shuffle write metrics in SQL
> --------------------------------------
>
> Key: SPARK-26193
> URL: https://issues.apache.org/jira/browse/SPARK-26193
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Xiao Li
> Assignee: Yuanjian Li
> Priority: Major
> Fix For: 3.0.0
>
>
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