Github user adrian-ionescu commented on a diff in the pull request: https://github.com/apache/spark/pull/18159#discussion_r120115392 --- Diff: sql/core/src/main/scala/org/apache/spark/sql/execution/command/WrittenFileCommandExec.scala --- @@ -0,0 +1,103 @@ +/* + * 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} + +/** + * A logical command specialized for writing data out. `WriteOutFileCommand`s are + * wrapped in `WrittenFileCommandExec` during execution. + */ +trait WriteOutFileCommand extends logical.Command { + + /** + * Those metrics will be updated once the command finishes writing data out. Those metrics will + * be taken by `WrittenFileCommandExe` as its metrics when showing in UI. + */ + def metrics(sparkContext: SparkContext): Map[String, SQLMetric] = + Map( + // General metrics. + "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output rows"), + "numParts" -> SQLMetrics.createMetric(sparkContext, "number of dynamic part"), + "numFiles" -> SQLMetrics.createMetric(sparkContext, "number of written files"), + "numOutputBytes" -> SQLMetrics.createMetric(sparkContext, "bytes of written output"), + "avgTime" -> SQLMetrics.createMetric(sparkContext, "average writing time (ms)") + ) + + def run( + sparkSession: SparkSession, + children: Seq[SparkPlan], + metricsCallback: (Seq[ExecutedWriteSummary]) => Unit): Seq[Row] = { + throw new NotImplementedError --- End diff -- better omit the body altogether
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