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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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