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SPARK-17059: Allow FileFormat to specify partition pruning strategy (a…
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148 changes: 148 additions & 0 deletions
148
...c/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileSplitter.scala
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| /* | ||
| * 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. | ||
| */ | ||
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| package org.apache.spark.sql.execution.datasources.parquet | ||
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| import java.util.concurrent.TimeUnit | ||
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| import scala.collection.JavaConverters._ | ||
| import scala.concurrent.{ExecutionContext, Future} | ||
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| import com.google.common.cache.{Cache, CacheBuilder} | ||
| import org.apache.hadoop.fs.{FileStatus, Path} | ||
| import org.apache.hadoop.mapreduce.lib.input.FileSplit | ||
| import org.apache.parquet.filter2.predicate.{FilterApi, FilterPredicate} | ||
| import org.apache.parquet.filter2.statisticslevel.StatisticsFilter | ||
| import org.apache.parquet.hadoop.metadata.BlockMetaData | ||
| import org.roaringbitmap.RoaringBitmap | ||
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| import org.apache.spark.internal.Logging | ||
| import org.apache.spark.sql.sources.Filter | ||
| import org.apache.spark.sql.types.StructType | ||
| import org.apache.spark.util.ThreadUtils | ||
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| abstract class ParquetFileSplitter { | ||
| def buildSplitter(filters: Seq[Filter]): (FileStatus => Seq[FileSplit]) | ||
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| def singleFileSplit(stat: FileStatus): Seq[FileSplit] = { | ||
| Seq(new FileSplit(stat.getPath, 0, stat.getLen, Array.empty)) | ||
| } | ||
| } | ||
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| object ParquetDefaultFileSplitter extends ParquetFileSplitter { | ||
| override def buildSplitter(filters: Seq[Filter]): (FileStatus => Seq[FileSplit]) = { | ||
| stat => singleFileSplit(stat) | ||
| } | ||
| } | ||
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| class ParquetMetadataFileSplitter( | ||
| val root: Path, | ||
| val blocks: Seq[BlockMetaData], | ||
| val schema: StructType) | ||
| extends ParquetFileSplitter | ||
| with Logging { | ||
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| private val referencedFiles = blocks.map(bmd => new Path(root, bmd.getPath)).toSet | ||
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| private val filterSets: Cache[Filter, RoaringBitmap] = | ||
| CacheBuilder.newBuilder() | ||
| .expireAfterAccess(4, TimeUnit.HOURS) | ||
| .concurrencyLevel(1) | ||
| .build() | ||
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| override def buildSplitter(filters: Seq[Filter]): (FileStatus => Seq[FileSplit]) = { | ||
| val (applied, unapplied, filteredBlocks) = this.synchronized { | ||
| val (applied, unapplied) = filters.partition(filterSets.getIfPresent(_) != null) | ||
| val filteredBlocks = filterSets.getAllPresent(applied.asJava).values().asScala | ||
| .reduceOption(RoaringBitmap.and) | ||
| .map { bitmap => | ||
| blocks.zipWithIndex.filter { case(block, index) => | ||
| bitmap.contains(index) | ||
| }.map(_._1) | ||
| }.getOrElse(blocks) | ||
| (applied, unapplied, filteredBlocks) | ||
| } | ||
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| val eligible = parquetFilter(unapplied, filteredBlocks).map { bmd => | ||
| val blockPath = new Path(root, bmd.getPath) | ||
| new FileSplit(blockPath, bmd.getStartingPos, bmd.getTotalByteSize, Array.empty) | ||
| } | ||
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| val statFilter: (FileStatus => Seq[FileSplit]) = { stat => | ||
| if (referencedFiles.contains(stat.getPath)) { | ||
| eligible.filter(_.getPath == stat.getPath) | ||
| } else { | ||
| log.warn(s"Found _metadata file for $root," + | ||
| s" but no entries for blocks in ${stat.getPath}. Retaining whole file.") | ||
| singleFileSplit(stat) | ||
| } | ||
| } | ||
| statFilter | ||
| } | ||
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| private def parquetFilter( | ||
| filters: Seq[Filter], | ||
| blocks: Seq[BlockMetaData]): Seq[BlockMetaData] = { | ||
| if (filters.nonEmpty) { | ||
| // Asynchronously build bitmaps | ||
| Future { | ||
| buildFilterBitMaps(filters) | ||
| }(ParquetMetadataFileSplitter.executionContext) | ||
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| val predicate = filters.flatMap { | ||
| ParquetFilters.createFilter(schema, _) | ||
| }.reduce(FilterApi.and) | ||
| blocks.filter(bmd => !StatisticsFilter.canDrop(predicate, bmd.getColumns)) | ||
| } else { | ||
| blocks | ||
| } | ||
| } | ||
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| private def buildFilterBitMaps(filters: Seq[Filter]): Unit = { | ||
| this.synchronized { | ||
| // Only build bitmaps for filters that don't exist. | ||
| val sets = filters | ||
| .filter(filterSets.getIfPresent(_) == null) | ||
| .flatMap { filter => | ||
| val bitmap = new RoaringBitmap | ||
| ParquetFilters.createFilter(schema, filter) | ||
| .map((filter, _, bitmap)) | ||
| } | ||
| var i = 0 | ||
| val blockLen = blocks.size | ||
| while (i < blockLen) { | ||
| val bmd = blocks(i) | ||
| sets.foreach { case (filter, parquetFilter, bitmap) => | ||
| if (!StatisticsFilter.canDrop(parquetFilter, bmd.getColumns)) { | ||
| bitmap.add(i) | ||
| } | ||
| } | ||
| i += 1 | ||
| } | ||
| val mapping = sets.map { case (filter, _, bitmap) => | ||
| bitmap.runOptimize() | ||
| filter -> bitmap | ||
| }.toMap.asJava | ||
| filterSets.putAll(mapping) | ||
| } | ||
| } | ||
| } | ||
| object ParquetMetadataFileSplitter { | ||
| private val executionContext = ExecutionContext.fromExecutorService( | ||
| ThreadUtils.newDaemonCachedThreadPool("parquet-metadata-filter", 1)) | ||
| } |