spark BatchInfo 源码
spark BatchInfo 代码
文件路径：/streaming/src/main/scala/org/apache/spark/streaming/scheduler/BatchInfo.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.scheduler
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.streaming.Time
/**
* :: DeveloperApi ::
* Class having information on completed batches.
* @param batchTime Time of the batch
* @param streamIdToInputInfo A map of input stream id to its input info
* @param submissionTime Clock time of when jobs of this batch was submitted to
* the streaming scheduler queue
* @param processingStartTime Clock time of when the first job of this batch started processing
* @param processingEndTime Clock time of when the last job of this batch finished processing
* @param outputOperationInfos The output operations in this batch
*/
@DeveloperApi
case class BatchInfo(
batchTime: Time,
streamIdToInputInfo: Map[Int, StreamInputInfo],
submissionTime: Long,
processingStartTime: Option[Long],
processingEndTime: Option[Long],
outputOperationInfos: Map[Int, OutputOperationInfo]
) {
/**
* Time taken for the first job of this batch to start processing from the time this batch
* was submitted to the streaming scheduler. Essentially, it is
* `processingStartTime` - `submissionTime`.
*/
def schedulingDelay: Option[Long] = processingStartTime.map(_ - submissionTime)
/**
* Time taken for the all jobs of this batch to finish processing from the time they started
* processing. Essentially, it is `processingEndTime` - `processingStartTime`.
*/
def processingDelay: Option[Long] = processingEndTime.zip(processingStartTime)
.map(x => x._1 - x._2).headOption
/**
* Time taken for all the jobs of this batch to finish processing from the time they
* were submitted. Essentially, it is `processingDelay` + `schedulingDelay`.
*/
def totalDelay: Option[Long] = schedulingDelay.zip(processingDelay)
.map(x => x._1 + x._2).headOption
/**
* The number of recorders received by the receivers in this batch.
*/
def numRecords: Long = streamIdToInputInfo.values.map(_.numRecords).sum
}
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