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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/09/28 13:04:20 UTC
[jira] [Resolved] (SPARK-17621) Accumulator value is doubled when
using DataFrame.orderBy()
[ https://issues.apache.org/jira/browse/SPARK-17621?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-17621.
-------------------------------
Resolution: Not A Problem
> Accumulator value is doubled when using DataFrame.orderBy()
> -----------------------------------------------------------
>
> Key: SPARK-17621
> URL: https://issues.apache.org/jira/browse/SPARK-17621
> Project: Spark
> Issue Type: Bug
> Components: Scheduler, SQL
> Affects Versions: 2.0.0
> Environment: Development environment. (Eclipse . Single process)
> Reporter: Sreelal S L
> Priority: Minor
>
> We are tracing the records read by our source using an accumulator. We do a orderBy on the Dataframe before the output operation. When the job is completed, the accumulator values is becoming double of the expected value . .
> Below is the sample code i ran .
> {code}
> val sqlContext = SparkSession.builder()
> .config("spark.sql.retainGroupColumns", false).config("spark.sql.warehouse.dir", "file:///C:/Test").master("local[*]")
> .getOrCreate()
> val sc = sqlContext.sparkContext
> val accumulator1 = sc.accumulator(0, "accumulator1")
> val usersDF = sqlContext.read.json("C:\\users.json") // single row {"name":"sreelal" ,"country":"IND"}
> val usersDFwithCount = usersDF.rdd.map(x => { accumulator1 += 1; x });
> val counterDF = sqlContext.createDataFrame(usersDFwithCount, usersDF.schema);
> val oderedDF = counterDF.orderBy("name")
> val collected = oderedDF.collect()
> collected.foreach { x => println(x) }
> println("accumulator1 : " + accumulator1.value)
> println("Done");
> {code}
> I have only one row in the users.json file. I expect accumulator1 to have value 1. But its coming as 2.
> In the Spark Sql UI , i see two jobs getting generated for the same.
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