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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 ::
* Method by which input data was read. Network means that the data was read over the network
* from a remote block manager (which may have stored the data on-disk or in-memory).
* Operations are not thread-safe.
*/
@DeveloperApi
object DataReadMethod extends Enumeration with Serializable {
type DataReadMethod = Value
val Memory, Disk, Hadoop, Network = Value
}
/**
* :: DeveloperApi ::
* A collection of accumulators that represents metrics about reading data from external systems.
*/
@DeveloperApi
class InputMetrics private (
_bytesRead: Accumulator[Long],
_recordsRead: Accumulator[Long],
_readMethod: Accumulator[String])
extends Serializable {
private[executor] def this(accumMap: Map[String, Accumulator[_]]) {
this(
TaskMetrics.getAccum[Long](accumMap, InternalAccumulator.input.BYTES_READ),
TaskMetrics.getAccum[Long](accumMap, InternalAccumulator.input.RECORDS_READ),
TaskMetrics.getAccum[String](accumMap, InternalAccumulator.input.READ_METHOD))
}
/**
* Create a new [[InputMetrics]] that is not associated with any particular task.
*
* This mainly exists because of SPARK-5225, where we are forced to use a dummy [[InputMetrics]]
* because we want to ignore metrics from a second read method. In the future, we should revisit
* whether this is needed.
*
* A better alternative is [[TaskMetrics.registerInputMetrics]].
*/
private[executor] def this() {
this(InternalAccumulator.createInputAccums()
.map { a => (a.name.get, a) }.toMap[String, Accumulator[_]])
}
/**
* Total number of bytes read.
*/
def bytesRead: Long = _bytesRead.localValue
/**
* Total number of records read.
*/
def recordsRead: Long = _recordsRead.localValue
/**
* The source from which this task reads its input.
*/
def readMethod: DataReadMethod.Value = DataReadMethod.withName(_readMethod.localValue)
private[spark] def incBytesRead(v: Long): Unit = _bytesRead.add(v)
private[spark] def incRecordsRead(v: Long): Unit = _recordsRead.add(v)
private[spark] def setBytesRead(v: Long): Unit = _bytesRead.setValue(v)
private[spark] def setReadMethod(v: DataReadMethod.Value): Unit = _readMethod.setValue(v.toString)
}
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