-
Notifications
You must be signed in to change notification settings - Fork 240
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Updated changes to work on databricks
- Loading branch information
Showing
3 changed files
with
111 additions
and
5 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
107 changes: 107 additions & 0 deletions
107
sql-plugin/src/main/301db/scala/org/apache/spark/rapids/shims/v2/ShuffledBatchRDDUtil.scala
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,107 @@ | ||
| /* | ||
| * Copyright (c) 2021, NVIDIA CORPORATION. | ||
| * | ||
| * Licensed 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.rapids.shims.v2 | ||
|
|
||
| import com.nvidia.spark.rapids.ShimLoader | ||
|
|
||
| import org.apache.spark.{MapOutputTrackerMaster, Partition, ShuffleDependency, SparkEnv, TaskContext} | ||
| import org.apache.spark.shuffle.ShuffleReader | ||
| import org.apache.spark.sql.execution.{CoalescedPartitionSpec, PartialMapperPartitionSpec, PartialReducerPartitionSpec} | ||
| import org.apache.spark.sql.execution.metric.SQLShuffleReadMetricsReporter | ||
| import org.apache.spark.sql.rapids.execution.ShuffledBatchRDDPartition | ||
| import org.apache.spark.sql.vectorized.ColumnarBatch | ||
|
|
||
| /** | ||
| * Some APIs for the ShuffledBatchRDD are only accessible from org.apache.spark... | ||
| * This code tries to match the Spark code as closely as possible. Fixing a compiler or IDE | ||
| * warning is not always the best thing here because if it changes how it matches up with the | ||
| * Spark code it may make it harder to maintain as thing change in Spark. | ||
| */ | ||
| object ShuffledBatchRDDUtil { | ||
| def preferredLocations( | ||
| partition: Partition, | ||
| dependency: ShuffleDependency[Int, ColumnarBatch, ColumnarBatch]): Seq[String] = { | ||
| val tracker = SparkEnv.get.mapOutputTracker.asInstanceOf[MapOutputTrackerMaster] | ||
| partition.asInstanceOf[ShuffledBatchRDDPartition].spec match { | ||
| case CoalescedPartitionSpec(startReducerIndex, endReducerIndex) => | ||
| // TODO order by partition size. | ||
| startReducerIndex.until(endReducerIndex).flatMap { reducerIndex => | ||
| tracker.getPreferredLocationsForShuffle(dependency, reducerIndex) | ||
| } | ||
|
|
||
| case PartialReducerPartitionSpec(_, startMapIndex, endMapIndex, _) => | ||
| tracker.getMapLocation(dependency, startMapIndex, endMapIndex) | ||
|
|
||
| case PartialMapperPartitionSpec(mapIndex, _, _) => | ||
| tracker.getMapLocation(dependency, mapIndex, mapIndex + 1) | ||
| } | ||
| } | ||
|
|
||
| def getReaderAndPartSize( | ||
| split: Partition, | ||
| context: TaskContext, | ||
| dependency: ShuffleDependency[Int, ColumnarBatch, ColumnarBatch], | ||
| sqlMetricsReporter: SQLShuffleReadMetricsReporter): | ||
| (ShuffleReader[Nothing, Nothing], Long) = { | ||
| val shim = ShimLoader.getSparkShims | ||
| split.asInstanceOf[ShuffledBatchRDDPartition].spec match { | ||
| case CoalescedPartitionSpec(startReducerIndex, endReducerIndex) => | ||
| val reader = SparkEnv.get.shuffleManager.getReader( | ||
| dependency.shuffleHandle, | ||
| startReducerIndex, | ||
| endReducerIndex, | ||
| context, | ||
| sqlMetricsReporter) | ||
| val blocksByAddress = shim.getMapSizesByExecutorId( | ||
| dependency.shuffleHandle.shuffleId, 0, Int.MaxValue, startReducerIndex, endReducerIndex) | ||
| val partitionSize = blocksByAddress.flatMap(_._2).map(_._2).sum | ||
| (reader, partitionSize) | ||
|
|
||
| case PartialReducerPartitionSpec(reducerIndex, startMapIndex, endMapIndex, _) => | ||
| val reader = SparkEnv.get.shuffleManager.getReaderForRange( | ||
| dependency.shuffleHandle, | ||
| startMapIndex, | ||
| endMapIndex, | ||
| reducerIndex, | ||
| reducerIndex + 1, | ||
| context, | ||
| sqlMetricsReporter) | ||
| val blocksByAddress = shim.getMapSizesByExecutorId( | ||
| dependency.shuffleHandle.shuffleId, 0, Int.MaxValue, reducerIndex, | ||
| reducerIndex + 1) | ||
| val partitionSize = blocksByAddress.flatMap(_._2) | ||
| .filter(tuple => tuple._3 >= startMapIndex && tuple._3 < endMapIndex) | ||
| .map(_._2).sum | ||
| (reader, partitionSize) | ||
| case PartialMapperPartitionSpec(mapIndex, startReducerIndex, endReducerIndex) => | ||
| val reader = SparkEnv.get.shuffleManager.getReaderForRange( | ||
| dependency.shuffleHandle, | ||
| mapIndex, | ||
| mapIndex + 1, | ||
| startReducerIndex, | ||
| endReducerIndex, | ||
| context, | ||
| sqlMetricsReporter) | ||
| val blocksByAddress = shim.getMapSizesByExecutorId( | ||
| dependency.shuffleHandle.shuffleId, 0, Int.MaxValue, startReducerIndex, endReducerIndex) | ||
| val partitionSize = blocksByAddress.flatMap(_._2) | ||
| .filter(_._3 == mapIndex) | ||
| .map(_._2).sum | ||
| (reader, partitionSize) | ||
| } | ||
| } | ||
| } |
File renamed without changes.