org.apache.spark.sql.execution.PartitionedFileUtil.scala Maven / Gradle / Ivy

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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.
 */

package org.apache.spark.sql.execution

import org.apache.hadoop.fs.{BlockLocation, FileStatus, LocatedFileStatus}

import org.apache.spark.paths.SparkPath
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.execution.datasources._

object PartitionedFileUtil {
  def splitFiles(
      sparkSession: SparkSession,
      file: FileStatusWithMetadata,
      isSplitable: Boolean,
      maxSplitBytes: Long,
      partitionValues: InternalRow): Seq[PartitionedFile] = {
    if (isSplitable) {
      (0L until file.getLen by maxSplitBytes).map { offset =>
        val remaining = file.getLen - offset
        val size = if (remaining > maxSplitBytes) maxSplitBytes else remaining
        val hosts = getBlockHosts(getBlockLocations(file.fileStatus), offset, size)
        PartitionedFile(partitionValues, SparkPath.fromPath(file.getPath), offset, size, hosts,
          file.getModificationTime, file.getLen, file.metadata)
      }
    } else {
      Seq(getPartitionedFile(file, partitionValues))
    }
  }

  def getPartitionedFile(
      file: FileStatusWithMetadata,
      partitionValues: InternalRow): PartitionedFile = {
    val hosts = getBlockHosts(getBlockLocations(file.fileStatus), 0, file.getLen)
    PartitionedFile(partitionValues, SparkPath.fromPath(file.getPath), 0, file.getLen, hosts,
      file.getModificationTime, file.getLen, file.metadata)
  }

  private def getBlockLocations(file: FileStatus): Array[BlockLocation] = file match {
    case f: LocatedFileStatus => f.getBlockLocations
    case f => Array.empty[BlockLocation]
  }

  // Given locations of all blocks of a single file, `blockLocations`, and an `(offset, length)`
  // pair that represents a segment of the same file, find out the block that contains the largest
  // fraction the segment, and returns location hosts of that block. If no such block can be found,
  // returns an empty array.
  private def getBlockHosts(
      blockLocations: Array[BlockLocation],
      offset: Long,
      length: Long): Array[String] = {
    val candidates = blockLocations.map {
      // The fragment starts from a position within this block. It handles the case where the
      // fragment is fully contained in the block.
      case b if b.getOffset <= offset && offset < b.getOffset + b.getLength =>
        b.getHosts -> (b.getOffset + b.getLength - offset).min(length)

      // The fragment ends at a position within this block
      case b if b.getOffset < offset + length && offset + length < b.getOffset + b.getLength =>
        b.getHosts -> (offset + length - b.getOffset)

      // The fragment fully contains this block
      case b if offset <= b.getOffset && b.getOffset + b.getLength <= offset + length =>
        b.getHosts -> b.getLength

      // The fragment doesn't intersect with this block
      case b =>
        b.getHosts -> 0L
    }.filter { case (hosts, size) =>
      size > 0L
    }

    if (candidates.isEmpty) {
      Array.empty[String]
    } else {
      val (hosts, _) = candidates.maxBy { case (_, size) => size }
      hosts
    }
  }
}