[jira] [Resolved] (SPARK-19796) taskScheduler fails serializing long statements received by thrift server

["Imran Rashid (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-19796?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Imran Rashid resolved SPARK-19796.
----------------------------------
       Resolution: Fixed
    Fix Version/s: 2.2.0

Issue resolved by pull request 17140
[https://github.com/apache/spark/pull/17140]

> taskScheduler fails serializing long statements received by thrift server
> -------------------------------------------------------------------------
>
>                 Key: SPARK-19796
>                 URL: https://issues.apache.org/jira/browse/SPARK-19796
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.2.0
>            Reporter: Giambattista
>            Priority: Blocker
>             Fix For: 2.2.0
>
>
> This problem was observed after the changes made for SPARK-17931.
> In my use-case I'm sending very long insert statements to Spark thrift server and they are failing at TaskDescription.scala:89 because writeUTF fails if requested to write strings longer than 64Kb (see https://www.drillio.com/en/2009/java-encoded-string-too-long-64kb-limit/ for a description of the issue).
> As suggested by Imran Rashid I tracked down the offending key: it is "spark.job.description" and it contains the complete SQL statement.
> The problem can be reproduced by creating a table like:
> create table test (a int) using parquet
> and by sending an insert statement like:
> scala> val r = 1 to 128000
> scala> println("insert into table test values (" + r.mkString("),(") + ")")



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