Github user chenghao-intel commented on a diff in the pull request:

    https://github.com/apache/spark/pull/9483#discussion_r53124605
  
    --- Diff: 
sql/hive/src/main/scala/org/apache/spark/sql/hive/ParallelUnionRDD.scala ---
    @@ -0,0 +1,52 @@
    +/*
    + * 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.hive
    +
    +import java.util.concurrent.Callable
    +
    +import org.apache.spark.rdd.{RDD, UnionPartition, UnionRDD}
    +import org.apache.spark.util.ThreadUtils
    +import org.apache.spark.{Partition, SparkContext}
    +
    +import scala.reflect.ClassTag
    +
    +class ParallelUnionRDD[T: ClassTag](
    +  sc: SparkContext,
    +  rdds: Seq[RDD[T]]) extends UnionRDD[T](sc, rdds){
    +  // TODO: We might need to guess a more reasonable thread pool size here
    +  @transient val executorService = ThreadUtils.newDaemonFixedThreadPool(
    +    Math.min(rdds.size, Runtime.getRuntime.availableProcessors()), 
"ParallelUnionRDD")
    +
    +  override def getPartitions: Array[Partition] = {
    +    // Calc partitions field for each RDD in parallel.
    +    val rddPartitions = rdds.map {rdd =>
    +      (rdd, executorService.submit(new Callable[Array[Partition]] {
    +        override def call(): Array[Partition] = rdd.partitions
    +      }))
    +    }.map {case(r, f) => (r, f.get())}
    +
    +    val array = new Array[Partition](rddPartitions.map(_._2.length).sum)
    --- End diff --
    
    seems here still be the main thread, probably we even don't need to place 
the `synchronized` in the `getPartitions`.


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