spark FileBasedWriteAheadLogReader 源码

  • 2022-10-20
  • 浏览 (356)

spark FileBasedWriteAheadLogReader 代码

文件路径:/streaming/src/main/scala/org/apache/spark/streaming/util/FileBasedWriteAheadLogReader.scala

/*
 * 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.streaming.util

import java.io.{Closeable, EOFException, IOException}
import java.nio.ByteBuffer

import org.apache.hadoop.conf.Configuration

import org.apache.spark.internal.Logging

/**
 * A reader for reading write ahead log files written using
 * [[org.apache.spark.streaming.util.FileBasedWriteAheadLogWriter]]. This reads
 * the records (bytebuffers) in the log file sequentially and return them as an
 * iterator of bytebuffers.
 */
private[streaming] class FileBasedWriteAheadLogReader(path: String, conf: Configuration)
  extends Iterator[ByteBuffer] with Closeable with Logging {

  private val instream = HdfsUtils.getInputStream(path, conf)
  private var closed = (instream == null) // the file may be deleted as we're opening the stream
  private var nextItem: Option[ByteBuffer] = None

  override def hasNext: Boolean = synchronized {
    if (closed) {
      return false
    }

    if (nextItem.isDefined) { // handle the case where hasNext is called without calling next
      true
    } else {
      try {
        val length = instream.readInt()
        val buffer = new Array[Byte](length)
        instream.readFully(buffer)
        nextItem = Some(ByteBuffer.wrap(buffer))
        logTrace("Read next item " + nextItem.get)
        true
      } catch {
        case e: EOFException =>
          logDebug("Error reading next item, EOF reached", e)
          close()
          false
        case e: IOException =>
          logWarning("Error while trying to read data. If the file was deleted, " +
            "this should be okay.", e)
          close()
          if (HdfsUtils.checkFileExists(path, conf)) {
            // If file exists, this could be a legitimate error
            throw e
          } else {
            // File was deleted. This can occur when the daemon cleanup thread takes time to
            // delete the file during recovery.
            false
          }

        case e: Exception =>
          logWarning("Error while trying to read data from HDFS.", e)
          close()
          throw e
      }
    }
  }

  override def next(): ByteBuffer = synchronized {
    val data = nextItem.getOrElse {
      close()
      throw new IllegalStateException(
        "next called without calling hasNext or after hasNext returned false")
    }
    nextItem = None // Ensure the next hasNext call loads new data.
    data
  }

  override def close(): Unit = synchronized {
    if (!closed) {
      instream.close()
    }
    closed = true
  }
}

相关信息

spark 源码目录

相关文章

spark BatchedWriteAheadLog 源码

spark FileBasedWriteAheadLog 源码

spark FileBasedWriteAheadLogRandomReader 源码

spark FileBasedWriteAheadLogSegment 源码

spark FileBasedWriteAheadLogWriter 源码

spark HdfsUtils 源码

spark RateLimitedOutputStream 源码

spark RawTextHelper 源码

spark RawTextSender 源码

spark RecurringTimer 源码

0  赞