[jira] [Resolved] (SPARK-30633) Codegen fails when xxHash seed is not an integer

["Dongjoon Hyun (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-30633?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun resolved SPARK-30633.
-----------------------------------
    Fix Version/s: 3.0.0
                   2.4.5
       Resolution: Fixed

Issue resolved by pull request 27354
[https://github.com/apache/spark/pull/27354]

> Codegen fails when xxHash seed is not an integer
> ------------------------------------------------
>
>                 Key: SPARK-30633
>                 URL: https://issues.apache.org/jira/browse/SPARK-30633
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.4.4
>            Reporter: Patrick Cording
>            Priority: Major
>             Fix For: 2.4.5, 3.0.0
>
>
> If the seed for xxHash is not an integer the generated code does not compile.
> Steps to reproduce:
> {code:java}
> import org.apache.spark.sql.catalyst.expressions.XxHash64
> import org.apache.spark.sql.Column
> val file = "..."
> val column = col("...")
> val df = spark.read.csv(file)
> def xxHash(seed: Long, cols: Column*): Column = new Column(
>    XxHash64(cols.map(_.expr), seed)
> )
> val seed = (Math.pow(2, 32)+1).toLong
> df.select(xxHash(seed, column)).show()
> {code}
> Appending an L to the seed when the datatype is long fixes the issue.



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