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Posted to issues@spark.apache.org by "Alan Lai (JIRA)" <ji...@apache.org> on 2017/12/12 06:52:00 UTC

[jira] [Updated] (SPARK-22761) 64KB JVM bytecode limit problem with GLM

     [ https://issues.apache.org/jira/browse/SPARK-22761?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Alan Lai updated SPARK-22761:
-----------------------------
    Description: 
{code:java}
GLM
{code} (presumably other mllib tools)
 can throw an exception due to the 64KB JVM bytecode limit when they use with a lot of variables/arguments (~ 2k).

  was:

{code:java}
GLM
{code}
 can throw an exception due to the 64KB JVM bytecode limit when they use with a lot of variables/arguments (~ 2k).


> 64KB JVM bytecode limit problem with GLM
> ----------------------------------------
>
>                 Key: SPARK-22761
>                 URL: https://issues.apache.org/jira/browse/SPARK-22761
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Alan Lai
>
> {code:java}
> GLM
> {code} (presumably other mllib tools)
>  can throw an exception due to the 64KB JVM bytecode limit when they use with a lot of variables/arguments (~ 2k).



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