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

["KIryl Sultanau (JIRA)" <ji...@apache.org>]

KIryl Sultanau created SPARK-23178:
--------------------------------------

             Summary: 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: 2.2.1, 2.2.0
            Reporter: KIryl Sultanau


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())



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org