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From Łukasz Żukowski (JIRA) <j...@apache.org>
Subject [jira] [Commented] (SPARK-22500) 64KB JVM bytecode limit problem with cast
Date Fri, 29 Dec 2017 10:55:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-22500?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16306197#comment-16306197
] 

Łukasz Żukowski commented on SPARK-22500:
-----------------------------------------

Hmm

Below still make 64k exception.
Maybe it can be done otherwise but I don't know how to apply cast to root.

  val spark = SparkSession.builder().appName("name").master("local[*]")
                .getOrCreate()

    import org.apache.spark.sql.functions._

    val names = (1 to 100).map(i => "f" + i)
    val largeStruct = StructType(names.map(f => StructField(f, IntegerType, true)))

    implicit def rowEnc = RowEncoder(largeStruct)

    val values = Seq(Row.fromSeq(1 to 100))
    val rdd = spark.sparkContext.parallelize(values)

    val df = spark.createDataFrame(rdd, largeStruct)
    
    val casted = df.select(struct("*").cast(largeStruct).as("_toUnpack")).select("_toUnpack.*")
    casted.show

> 64KB JVM bytecode limit problem with cast
> -----------------------------------------
>
>                 Key: SPARK-22500
>                 URL: https://issues.apache.org/jira/browse/SPARK-22500
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Kazuaki Ishizaki
>            Assignee: Kazuaki Ishizaki
>             Fix For: 2.2.1, 2.3.0
>
>
> {{Cast}} can throw an exception due to the 64KB JVM bytecode limit when they use with
a lot of structure fields



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