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Posted to issues@spark.apache.org by "KIryl Sultanau (JIRA)" <ji...@apache.org> on 2018/01/22 12:34:01 UTC
[jira] [Updated] (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:all-tabpanel ]
KIryl Sultanau updated SPARK-23178:
-----------------------------------
Attachment: Unsafe-issue.png
> 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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