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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.executor
import org.apache.spark.{Accumulator, InternalAccumulator}
import org.apache.spark.annotation.DeveloperApi
/**
* :: DeveloperApi ::
* A collection of accumulators that represent metrics about reading shuffle data.
* Operations are not thread-safe.
*/
@DeveloperApi
class ShuffleReadMetrics private (
_remoteBlocksFetched: Accumulator[Int],
_localBlocksFetched: Accumulator[Int],
_remoteBytesRead: Accumulator[Long],
_localBytesRead: Accumulator[Long],
_fetchWaitTime: Accumulator[Long],
_recordsRead: Accumulator[Long])
extends Serializable {
private[executor] def this(accumMap: Map[String, Accumulator[_]]) {
this(
TaskMetrics.getAccum[Int](accumMap, InternalAccumulator.shuffleRead.REMOTE_BLOCKS_FETCHED),
TaskMetrics.getAccum[Int](accumMap, InternalAccumulator.shuffleRead.LOCAL_BLOCKS_FETCHED),
TaskMetrics.getAccum[Long](accumMap, InternalAccumulator.shuffleRead.REMOTE_BYTES_READ),
TaskMetrics.getAccum[Long](accumMap, InternalAccumulator.shuffleRead.LOCAL_BYTES_READ),
TaskMetrics.getAccum[Long](accumMap, InternalAccumulator.shuffleRead.FETCH_WAIT_TIME),
TaskMetrics.getAccum[Long](accumMap, InternalAccumulator.shuffleRead.RECORDS_READ))
}
/**
* Create a new [[ShuffleReadMetrics]] that is not associated with any particular task.
*
* This mainly exists for legacy reasons, because we use dummy [[ShuffleReadMetrics]] in
* many places only to merge their values together later. In the future, we should revisit
* whether this is needed.
*
* A better alternative is [[TaskMetrics.registerTempShuffleReadMetrics]] followed by
* [[TaskMetrics.mergeShuffleReadMetrics]].
*/
private[spark] def this() {
this(InternalAccumulator.createShuffleReadAccums().map { a => (a.name.get, a) }.toMap)
}
/**
* Number of remote blocks fetched in this shuffle by this task.
*/
def remoteBlocksFetched: Int = _remoteBlocksFetched.localValue
/**
* Number of local blocks fetched in this shuffle by this task.
*/
def localBlocksFetched: Int = _localBlocksFetched.localValue
/**
* Total number of remote bytes read from the shuffle by this task.
*/
def remoteBytesRead: Long = _remoteBytesRead.localValue
/**
* Shuffle data that was read from the local disk (as opposed to from a remote executor).
*/
def localBytesRead: Long = _localBytesRead.localValue
/**
* Time the task spent waiting for remote shuffle blocks. This only includes the time
* blocking on shuffle input data. For instance if block B is being fetched while the task is
* still not finished processing block A, it is not considered to be blocking on block B.
*/
def fetchWaitTime: Long = _fetchWaitTime.localValue
/**
* Total number of records read from the shuffle by this task.
*/
def recordsRead: Long = _recordsRead.localValue
/**
* Total bytes fetched in the shuffle by this task (both remote and local).
*/
def totalBytesRead: Long = remoteBytesRead + localBytesRead
/**
* Number of blocks fetched in this shuffle by this task (remote or local).
*/
def totalBlocksFetched: Int = remoteBlocksFetched + localBlocksFetched
private[spark] def incRemoteBlocksFetched(v: Int): Unit = _remoteBlocksFetched.add(v)
private[spark] def incLocalBlocksFetched(v: Int): Unit = _localBlocksFetched.add(v)
private[spark] def incRemoteBytesRead(v: Long): Unit = _remoteBytesRead.add(v)
private[spark] def incLocalBytesRead(v: Long): Unit = _localBytesRead.add(v)
private[spark] def incFetchWaitTime(v: Long): Unit = _fetchWaitTime.add(v)
private[spark] def incRecordsRead(v: Long): Unit = _recordsRead.add(v)
private[spark] def setRemoteBlocksFetched(v: Int): Unit = _remoteBlocksFetched.setValue(v)
private[spark] def setLocalBlocksFetched(v: Int): Unit = _localBlocksFetched.setValue(v)
private[spark] def setRemoteBytesRead(v: Long): Unit = _remoteBytesRead.setValue(v)
private[spark] def setLocalBytesRead(v: Long): Unit = _localBytesRead.setValue(v)
private[spark] def setFetchWaitTime(v: Long): Unit = _fetchWaitTime.setValue(v)
private[spark] def setRecordsRead(v: Long): Unit = _recordsRead.setValue(v)
/**
* Resets the value of the current metrics (`this`) and and merges all the independent
* [[ShuffleReadMetrics]] into `this`.
*/
private[spark] def setMergeValues(metrics: Seq[ShuffleReadMetrics]): Unit = {
_remoteBlocksFetched.setValue(_remoteBlocksFetched.zero)
_localBlocksFetched.setValue(_localBlocksFetched.zero)
_remoteBytesRead.setValue(_remoteBytesRead.zero)
_localBytesRead.setValue(_localBytesRead.zero)
_fetchWaitTime.setValue(_fetchWaitTime.zero)
_recordsRead.setValue(_recordsRead.zero)
metrics.foreach { metric =>
_remoteBlocksFetched.add(metric.remoteBlocksFetched)
_localBlocksFetched.add(metric.localBlocksFetched)
_remoteBytesRead.add(metric.remoteBytesRead)
_localBytesRead.add(metric.localBytesRead)
_fetchWaitTime.add(metric.fetchWaitTime)
_recordsRead.add(metric.recordsRead)
}
}
}
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