[jira] [Resolved] (SPARK-17876) Write StructuredStreaming WAL to a stream instead of materializing all at once

["Shixiong Zhu (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-17876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shixiong Zhu resolved SPARK-17876.
----------------------------------
       Resolution: Fixed
         Assignee: Burak Yavuz
    Fix Version/s: 2.1.0
                   2.0.2

> Write StructuredStreaming WAL to a stream instead of materializing all at once
> ------------------------------------------------------------------------------
>
>                 Key: SPARK-17876
>                 URL: https://issues.apache.org/jira/browse/SPARK-17876
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL, Streaming
>    Affects Versions: 2.0.0, 2.0.1
>            Reporter: Burak Yavuz
>            Assignee: Burak Yavuz
>             Fix For: 2.0.2, 2.1.0
>
>
> The CompactibleFileStreamLog materializes the whole metadata log in memory as a String. This can cause issues when there are lots of files that are being committed, especially during a compaction batch. 
> You may come across stacktraces that look like:
> {code}
> java.lang.OutOfMemoryError: Requested array size exceeds VM limit
> at java.lang.StringCoding.encode(StringCoding.java:350)
> at java.lang.String.getBytes(String.java:941)
> at org.apache.spark.sql.execution.streaming.FileStreamSinkLog.serialize(FileStreamSinkLog.scala:127)
> at 
> {code}
> The safer way is to write to an output stream so that we don't have to materialize a huge string.



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