Github user marmbrus commented on a diff in the pull request:

    https://github.com/apache/spark/pull/7162#discussion_r33883033
  
    --- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastHashOuterJoin.scala
 ---
    @@ -0,0 +1,120 @@
    +/*
    + * 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.joins
    +
    +import org.apache.spark.annotation.DeveloperApi
    +import org.apache.spark.rdd.RDD
    +import org.apache.spark.sql.catalyst.expressions._
    +import org.apache.spark.sql.catalyst.plans.physical.{Distribution, 
UnspecifiedDistribution}
    +import org.apache.spark.sql.catalyst.plans.{JoinType, LeftOuter, 
RightOuter}
    +import org.apache.spark.sql.execution.{BinaryNode, SparkPlan}
    +import org.apache.spark.util.ThreadUtils
    +
    +import scala.concurrent._
    +import scala.concurrent.duration._
    +
    +/**
    + * :: DeveloperApi ::
    + * Performs a outer hash join for two child relations.  When the output 
RDD of this operator is
    + * being constructed, a Spark job is asynchronously started to calculate 
the values for the
    + * broadcasted relation.  This data is then placed in a Spark broadcast 
variable.  The streamed
    + * relation is not shuffled.
    + */
    +@DeveloperApi
    +case class BroadcastHashOuterJoin(
    +    leftKeys: Seq[Expression],
    +    rightKeys: Seq[Expression],
    +    joinType: JoinType,
    +    condition: Option[Expression],
    +    left: SparkPlan,
    +    right: SparkPlan) extends BinaryNode with HashOuterJoin {
    +
    +  val timeout = {
    +    val timeoutValue = sqlContext.conf.broadcastTimeout
    +    if (timeoutValue < 0) {
    +      Duration.Inf
    +    } else {
    +      timeoutValue.seconds
    +    }
    +  }
    +
    +  override def requiredChildDistribution: Seq[Distribution] =
    +    UnspecifiedDistribution :: UnspecifiedDistribution :: Nil
    +
    +  private[this] lazy val (buildPlan, streamedPlan) = joinType match {
    +    case RightOuter => (left, right)
    +    case LeftOuter => (right, left)
    +    case x =>
    +      throw new IllegalArgumentException(
    +        s"BroadcastHashOuterJoin should not take $x as the JoinType")
    +  }
    +
    +  private[this] lazy val (buildKeys, streamedKeys) = joinType match {
    +    case RightOuter => (leftKeys, rightKeys)
    +    case LeftOuter => (rightKeys, leftKeys)
    +    case x =>
    +      throw new IllegalArgumentException(
    +        s"BroadcastHashOuterJoin should not take $x as the JoinType")
    +  }
    +
    +  @transient
    +  private val broadcastFuture = future {
    +    // Note that we use .execute().collect() because we don't want to 
convert data to Scala types
    +    val input: Array[InternalRow] = 
buildPlan.execute().map(_.copy()).collect()
    +    // buildHashTable uses code-generated rows as keys, which are not 
serializable
    +    val hashed = new GeneralHashedRelation(
    +      buildHashTable(input.iterator, newProjection(buildKeys, 
buildPlan.output)))
    --- End diff --
    
    This still fails for me when I run it on a real cluster.  I'd just change 
this to `buildHashTable(input.iterator, new InterpretedProjection(buildKeys, 
buildPlan.output))) or we might even just change `newProjection` to always use 
`InterpretedProjection`.


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