spark metrics 源码
spark metrics 代码
文件路径：/core/src/main/scala/org/apache/spark/shuffle/metrics.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.shuffle
/**
* An interface for reporting shuffle read metrics, for each shuffle. This interface assumes
* all the methods are called on a single-threaded, i.e. concrete implementations would not need
* to synchronize.
*
* All methods have additional Spark visibility modifier to allow public, concrete implementations
* that still have these methods marked as private[spark].
*/
private[spark] trait ShuffleReadMetricsReporter {
private[spark] def incRemoteBlocksFetched(v: Long): Unit
private[spark] def incLocalBlocksFetched(v: Long): Unit
private[spark] def incRemoteBytesRead(v: Long): Unit
private[spark] def incRemoteBytesReadToDisk(v: Long): Unit
private[spark] def incLocalBytesRead(v: Long): Unit
private[spark] def incFetchWaitTime(v: Long): Unit
private[spark] def incRecordsRead(v: Long): Unit
}
/**
* An interface for reporting shuffle write metrics. This interface assumes all the methods are
* called on a single-threaded, i.e. concrete implementations would not need to synchronize.
*
* All methods have additional Spark visibility modifier to allow public, concrete implementations
* that still have these methods marked as private[spark].
*/
private[spark] trait ShuffleWriteMetricsReporter {
private[spark] def incBytesWritten(v: Long): Unit
private[spark] def incRecordsWritten(v: Long): Unit
private[spark] def incWriteTime(v: Long): Unit
private[spark] def decBytesWritten(v: Long): Unit
private[spark] def decRecordsWritten(v: Long): Unit
}
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