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From 宿荣全 (JIRA) <>
Subject [jira] [Closed] (SPARK-4734) [Streaming]limit the file Dstream size for each batch
Date Tue, 10 Mar 2015 03:16:38 GMT


宿荣全 closed SPARK-4734.

> [Streaming]limit the file Dstream size for each batch
> -----------------------------------------------------
>                 Key: SPARK-4734
>                 URL:
>             Project: Spark
>          Issue Type: New Feature
>          Components: Streaming
>            Reporter: 宿荣全
>            Priority: Minor
> Streaming scan new files form the HDFS and process those files in each batch process.Current
streaming exist some problems:
> 1.When the number of files is very large(the count size of those files is very large)
in some batch segement.The processing time required will become very long.The processing time
maybe over slideDuration time.Eventually lead to dispatch the next batch process is delay.
> 2.when the size of total file Dstream  is very large in one batch,those  dstream data
do shuffle after memory will be n times increasing occupation,app will be slow or even terminated
by operating system.
> So if we set a upper limit value of input data for each batch to control the batch process
time,the job dispatch delay and the process delay wil be alleviated.
> modification:
> Add a new parameter "spark.streaming.segmentSizeThreshold" in InputDStream (input data
base class).the size of each batch process segments  will be set in this parameter from [spark-defaults.conf]
or setting in source.
> all implements class of InputDStream will do corresponding action be aimed at the segmentSizeThreshold.
> This patch is a modification about FileInputDStream ,so when find new files      ,put
those files's name and size in a queue and take elements package to a batch data with totail
size < segmentSizeThreshold  in FileInputDStream.Please look source about detailed logic.

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