Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/11083#discussion_r52971787
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/Broadcast.scala ---
@@ -0,0 +1,85 @@
+/*
+ * 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
+
+import scala.concurrent._
+import scala.concurrent.duration._
+
+import org.apache.spark.broadcast
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.Attribute
+import org.apache.spark.sql.catalyst.plans.physical.BroadcastMode
+import org.apache.spark.util.ThreadUtils
+
+/**
+ * A broadcast collects, transforms and finally broadcasts the result of a
transformed SparkPlan.
+ */
+case class Broadcast(
+ mode: BroadcastMode,
+ child: SparkPlan) extends UnaryNode {
+
+ override def output: Seq[Attribute] = child.output
+
+ val timeout: Duration = {
+ val timeoutValue = sqlContext.conf.broadcastTimeout
+ if (timeoutValue < 0) {
+ Duration.Inf
+ } else {
+ timeoutValue.seconds
+ }
+ }
+
+ @transient
+ private lazy val relationFuture: Future[broadcast.Broadcast[Any]] = {
+ // broadcastFuture is used in "doExecute". Therefore we can get the
execution id correctly here.
+ val executionId =
sparkContext.getLocalProperty(SQLExecution.EXECUTION_ID_KEY)
+ Future {
+ // This will run in another thread. Set the execution id so that we
can connect these jobs
+ // with the correct execution.
+ SQLExecution.withExecutionId(sparkContext, executionId) {
+ // Note that we use .execute().collect() because we don't want to
convert data to Scala
+ // types
+ val input: Array[InternalRow] = child.execute().map { row =>
+ row.copy()
+ }.collect()
+
+ // Construct and broadcast the relation.
+ sparkContext.broadcast(mode(input))
+ }
+ }(Broadcast.executionContext)
+ }
+
+ override protected def doPrepare(): Unit = {
+ // Materialize the future.
+ relationFuture
+ }
+
+ override protected def doExecute(): RDD[InternalRow] = {
+ child.execute() // TODO throw an Exception here?
--- End diff --
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