Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18159#discussion_r120350843
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/command/FileWritingCommand.scala
---
@@ -0,0 +1,108 @@
+/*
+ * 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.command
+
+import org.apache.spark.SparkContext
+import org.apache.spark.sql.{Row, SparkSession}
+import org.apache.spark.sql.catalyst.{CatalystTypeConverters, InternalRow}
+import org.apache.spark.sql.catalyst.plans.logical
+import org.apache.spark.sql.execution.{SparkPlan, SQLExecution}
+import org.apache.spark.sql.execution.datasources.ExecutedWriteSummary
+import org.apache.spark.sql.execution.metric.{SQLMetric, SQLMetrics}
+import org.apache.spark.util.Utils
+
+/**
+ * A logical command specialized for writing data out.
`FileWritingCommand`s are
+ * wrapped in `FileWritingCommandExec` during execution.
+ */
+trait FileWritingCommand extends logical.Command {
+
+ // The caller of `FileWritingCommand` can replace the metrics location
by providing this external
+ // metrics structure.
+ private var _externalMetrics: Option[Map[String, SQLMetric]] = None
+ private[sql] def withExternalMetrics(map: Map[String, SQLMetric]):
this.type = {
+ _externalMetrics = Option(map)
+ this
+ }
+
+ /**
+ * Those metrics will be updated once the command finishes writing data
out. Those metrics will
+ * be taken by `FileWritingCommandExec` as its metrics when showing in
UI.
+ */
+ def metrics(sparkContext: SparkContext): Map[String, SQLMetric] =
_externalMetrics.getOrElse {
+ Map(
+ // General metrics.
+ "avgTime" -> SQLMetrics.createMetric(sparkContext, "average writing
time (ms)"),
+ "numFiles" -> SQLMetrics.createMetric(sparkContext, "number of
written files"),
+ "numOutputBytes" -> SQLMetrics.createMetric(sparkContext, "bytes of
written output"),
+ "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of
output rows"),
+ "numParts" -> SQLMetrics.createMetric(sparkContext, "number of
dynamic part")
+ )
+ }
+
+ /**
+ * Callback function that update metrics collected from the writing
operation.
+ */
+ private[sql] def postDriverMetrics(sparkContext: SparkContext, metrics:
Map[String, SQLMetric])
+ (writeSummaries: Seq[ExecutedWriteSummary]): Unit = {
+ var numPartitions = 0
+ var numFiles = 0
+ var totalNumBytes: Long = 0L
+ var totalNumOutput: Long = 0L
+
+ writeSummaries.foreach { summary =>
+ numPartitions += summary.updatedPartitions.size
+ numFiles += summary.numOutputFile
+ totalNumBytes += summary.numOutputBytes
+ totalNumOutput += summary.numOutputRows
+ }
+
+ // The time for writing individual file can be zero if it's less than
1 ms. Zero values can
+ // lower actual time of writing when calculating average, so excluding
them.
+ val writingTime =
+ Utils.average(writeSummaries.flatMap(_.writingTimePerFile.filter(_ >
0))).toLong
+
+ val metricsNames = metrics.keys.toSeq.sorted
+ val metricsValues = Seq(writingTime, numFiles, totalNumBytes,
totalNumOutput, numPartitions)
+ metricsNames.zip(metricsValues).foreach(x => metrics(x._1).add(x._2))
+
+ val executionId =
sparkContext.getLocalProperty(SQLExecution.EXECUTION_ID_KEY)
+ SQLMetrics.postDriverMetricUpdates(sparkContext, executionId,
metricsNames.map(metrics(_)))
+ }
+
+ def run(
+ sparkSession: SparkSession,
+ children: Seq[SparkPlan],
+ metrics: Map[String, SQLMetric],
+ metricsCallback: (Seq[ExecutedWriteSummary]) => Unit): Seq[Row]
--- End diff --
The case is more complicated...
We have those commands which don't write the data but invoke another
commands to do that. The execution data for showing on UI is bound to the
original commands, but the invoked commands. That's why we need to pass metrics
or callback function here...
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