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jean-claude commented on DRILL-4278: ------------------------------------ I did another test using 18 JSON files containing each a single object with a single field. { "name" : "lajsdlfjsklfjsdlkfjsldf jslfslkjfklsdj fklsjflksdjflksdjflja;kjflkdsjfkljdfsf d fkjsdfjdalkfjasjfaldsjfljfkldajsfkljaklfjksajfjaslfjakljfkljfkldsajfkldsjfksdjfklsajfkljklasjfkldsjklfjkdlsjfklsdjfkljsdklafjkldjafkldj asklfjskldafjklsdjfjdsfkjdsfkjsdfjdalkfjasjfaldsjfljfkldajsfkljaklfjksajfjaslfjakljfkljfkldsajfkldsjfksdjfklsajfkljklasjfkldsjklfjkdlsjfklsdjfkljsdklafjkldjafkldj asklfjskldafjklsdjfjdsfkjdsfkjsdfjdalkfjasjfaldsjfljfkldajsfkljaklfjksajfjaslfjakljfkljfkldsajfkldsjfksdjfklsajfkljklasjfkldsjklfjkdlsjfklsdjfkljsdklafjkldjafkldj asklfjskldafjklsdjfjdsfkjdsfkjsdfjdalkfjasjfaldsjfljfkldajsfkljaklfjksajfjaslfjakljfkljfkldsajfkldsjfksdjfklsajfkljklasjfkldsjklfjkdlsjfklsdjfkljsdklafjkldjafkldj 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asklfjskldafjklsdjfjdsfkjdsfkjsdfjdalkfjasjfaldsjfljfkldajsfkljaklfjksajfjaslfjakljfkljfkldsajfkldsjfksdjfklsajfkljklasjfkldsjklfjkdlsjfklsdjfkljsdklafjkldjafkldj asklfjskldafjklsdjfjdsfkjdsfkjsdfjdalkfjasjfaldsjfljfkldajsfkljaklfjksajfjaslfjakljfkljfkldsajfkldsjfksdjfklsajfkljklasjfkldsjklfjkdlsjfklsdjfkljsdklafjkldjafkldj asklfjskldafjklsdjfjdsfkjdsfkjsdfjdalkfjasjfaldsjfljfkldajsfkljaklfjksajfjaslfjakljfkljfkldsajfkldsjfksdjfklsajfkljklasjfkldsjklfjkdlsjfklsdjfkljsdklafjkldjafkldj asklfjskldafjklsdjfjdsfkjdsfkjsadkjfksadjfkj" } If run this query thousands of times the heap usage goes up and up. select * from dfs.`/Users/jccote/json/` limit 4; On the other hand if I run this query (the limit is the same as the size of the db so there are no rows actually removed) thousands of times there is absolutely no problem. select * from dfs.`/Users/jccote/json/` limit 18; There's definitely something leaking when rows are taken out of the result set. > Memory leak when using LIMIT > ---------------------------- > > Key: DRILL-4278 > URL: https://issues.apache.org/jira/browse/DRILL-4278 > Project: Apache Drill > Issue Type: Bug > Components: Execution - RPC > Affects Versions: 1.4.0, 1.5.0 > Environment: OS X > 0: jdbc:drill:zk=local> select * from sys.version; > +----------+-------------------------------------------+-----------------------------------------------------+----------------------------+----------------------------+----------------------------+ > | version | commit_id | > commit_message | commit_time | > build_email | build_time | > +----------+-------------------------------------------+-----------------------------------------------------+----------------------------+----------------------------+----------------------------+ > | 1.4.0 | 32b871b24c7b69f59a1d2e70f444eed6e599e825 | > [maven-release-plugin] prepare release drill-1.4.0 | 08.12.2015 @ 00:24:59 > PST | venki.koruka...@gmail.com | 08.12.2015 @ 01:14:39 PST | > +----------+-------------------------------------------+-----------------------------------------------------+----------------------------+----------------------------+----------------------------+ > 0: jdbc:drill:zk=local> select * from sys.options where status <> 'DEFAULT'; > +-----------------------------+-------+---------+----------+----------+-------------+-----------+------------+ > | name | kind | type | status | num_val | > string_val | bool_val | float_val | > +-----------------------------+-------+---------+----------+----------+-------------+-----------+------------+ > | planner.slice_target | LONG | SYSTEM | CHANGED | 10 | null > | null | null | > | planner.width.max_per_node | LONG | SYSTEM | CHANGED | 5 | null > | null | null | > +-----------------------------+-------+---------+----------+----------+-------------+-----------+------------+ > 2 rows selected (0.16 seconds) > Reporter: jean-claude > > copy the parquet files in the samples directory so that you have a 12 or so > $ ls -lha /apache-drill-1.4.0/sample-data/nationsMF/ > nationsMF1.parquet > nationsMF2.parquet > nationsMF3.parquet > create a file with a few thousand lines like these > select * from dfs.`/Users/jccote/apache-drill-1.4.0/sample-data/nationsMF` > limit 500; > start drill > $ /apache-drill-1.4.0/bin/drill-embeded > reduce the slice target size to force drill to use multiple fragment/threads > jdbc:drill:zk=local> system set planner.slice_target=10; > now run the list of queries from the file your created above > jdbc:drill:zk=local> !run /Users/jccote/test-memory-leak-using-limit.sql > the java heap space keeps going up until the old space is at 100% and > eventually you get an OutOfMemoryException in drill > $ jstat -gccause 86850 5s > S0 S1 E O M CCS YGC YGCT FGC FGCT > GCT LGCC GCC > 0.00 0.00 100.00 100.00 98.56 96.71 2279 26.682 240 458.139 > 484.821 GCLocker Initiated GC Ergonomics > 0.00 0.00 100.00 99.99 98.56 96.71 2279 26.682 242 461.347 > 488.028 Allocation Failure Ergonomics > 0.00 0.00 100.00 99.99 98.56 96.71 2279 26.682 245 466.630 > 493.311 Allocation Failure Ergonomics > 0.00 0.00 100.00 99.99 98.56 96.71 2279 26.682 247 470.020 > 496.702 Allocation Failure Ergonomics > If you do the same test but do not use the LIMIT then the memory usage does > not go up. > If you add a where clause so that no results are returned, then the memory > usage does not go up. > Something with the RPC layer? > Also it seems sensitive to the number of fragments/threads. If you limit it > to one fragment/thread the memory usage goes up much slower. > I have used parquet files and CSV files. In either case the behaviour is the > same. -- This message was sent by Atlassian JIRA (v6.3.4#6332)