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Posted to issues@spark.apache.org by "KIryl Sultanau (JIRA)" <ji...@apache.org> on 2018/01/22 12:36:00 UTC

[jira] [Comment Edited] (SPARK-23178) Kryo Unsafe problems with count distinct from cache

    [ https://issues.apache.org/jira/browse/SPARK-23178?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16334206#comment-16334206 ] 

KIryl Sultanau edited comment on SPARK-23178 at 1/22/18 12:35 PM:
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With unsafe switch off this example works fine:      
{quote}.config("spark.kryo.unsafe", "false")
{quote}


was (Author: kirills2006):
With unsafe switch off this works fine:      
{quote}.config("spark.kryo.unsafe", "false")
{quote}

> Kryo Unsafe problems with count distinct from cache
> ---------------------------------------------------
>
>                 Key: SPARK-23178
>                 URL: https://issues.apache.org/jira/browse/SPARK-23178
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.2.0, 2.2.1
>            Reporter: KIryl Sultanau
>            Priority: Major
>         Attachments: Unsafe-issue.png
>
>
> val spark = SparkSession
>         .builder
>         .appName("unsafe-issue")
>         .master("local[*]")
>         .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
>         .config("spark.kryo.unsafe", "true")
>         .config("spark.kryo.registrationRequired", "false")
>         .getOrCreate()
>     val devicesDF = spark.read.format("csv")
>     .option("header", "true")
>     .option("delimiter", "\t")
>     .load("/data/Devices.tsv").cache()
>     val gatewaysDF = spark.read.format("csv")
>     .option("header", "true")
>     .option("delimiter", "\t")
>     .load("/data/Gateways.tsv").cache()
>     val devJoinedDF = devicesDF.join(gatewaysDF, Seq("GatewayId"), "inner").cache()
>     devJoinedDF.printSchema()
>     println(devJoinedDF.count())
>     println(devJoinedDF.select("DeviceId").distinct().count())
>     println(devJoinedDF.groupBy("DeviceId").count().filter("count>1").count())
>     println(devJoinedDF.groupBy("DeviceId").count().filter("count=1").count())



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