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https://issues.apache.org/jira/browse/DRILL-5273?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15884105#comment-15884105
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ASF GitHub Bot commented on DRILL-5273:
---------------------------------------
Github user asfgit closed the pull request at:
https://github.com/apache/drill/pull/750
> CompliantTextReader exhausts 4 GB memory when reading 5000 small files
> ----------------------------------------------------------------------
>
> Key: DRILL-5273
> URL: https://issues.apache.org/jira/browse/DRILL-5273
> Project: Apache Drill
> Issue Type: Bug
> Affects Versions: 1.10
> Reporter: Paul Rogers
> Assignee: Paul Rogers
> Labels: ready-to-commit
> Fix For: 1.10.0
>
>
> A test case was created that consists of 5000 text files, each with a single
> line with the file number: 1 to 5001. Each file has a single record, and at
> most 4 characters per record.
> Run the following query:
> {code}
> SELECT * FROM `dfs.data`.`5000files/text
> {code}
> The query will fail with an OOM in the scan batch on around record 3700 on a
> Mac with 4GB of direct memory.
> The code to read records in {ScanBatch} is complex. The following appears to
> occur:
> * Iterate over the record readers for each file.
> * For each, call setup
> The setup code is:
> {code}
> public void setup(OperatorContext context, OutputMutator outputMutator)
> throws ExecutionSetupException {
> oContext = context;
> readBuffer = context.getManagedBuffer(READ_BUFFER);
> whitespaceBuffer = context.getManagedBuffer(WHITE_SPACE_BUFFER);
> {code}
> The two buffers are in direct memory. There is no code that releases the
> buffers.
> The sizes are:
> {code}
> private static final int READ_BUFFER = 1024*1024;
> private static final int WHITE_SPACE_BUFFER = 64*1024;
> = 1,048,576 + 65536 = 1,114,112
> {code}
> This is exactly the amount of memory that accumulates per call to
> {{ScanBatch.next()}}
> {code}
> Ctor: 0 -- Initial memory in constructor
> Init setup: 1114112 -- After call to first record reader setup
> Entry Memory: 1114112 -- first next() call, returns one record
> Entry Memory: 1114112 -- second next(), eof and start second reader
> Entry Memory: 2228224 -- third next(), second reader returns EOF
> ...
> {code}
> If we leak 1 MB per file, with 5000 files we would leak 5 GB of memory, which
> would explain the OOM when given only 4 GB.
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