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Posted to issues@drill.apache.org by "Kunal Khatua (JIRA)" <ji...@apache.org> on 2017/02/01 21:03:51 UTC
[jira] [Updated] (DRILL-5115) Metadata Cache Pruning randomly
returns wrong results at higher concurrencies
[ https://issues.apache.org/jira/browse/DRILL-5115?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kunal Khatua updated DRILL-5115:
--------------------------------
Affects Version/s: (was: 1.10)
1.10.0
> Metadata Cache Pruning randomly returns wrong results at higher concurrencies
> -----------------------------------------------------------------------------
>
> Key: DRILL-5115
> URL: https://issues.apache.org/jira/browse/DRILL-5115
> Project: Apache Drill
> Issue Type: Bug
> Components: Metadata, Query Planning & Optimization
> Affects Versions: 1.8.0, 1.9.0, 1.10.0
> Reporter: Rahul Challapalli
> Attachments: correctdata_profile.txt, drillbit1.log, drillbit2.log, l_3level.tgz, wrongdata_profile.txt
>
>
> git.commit.id.abbrev=4312d65
> When multiple queries are updating the metadata cache simultaneously the below query randomly returns wrong results.
> A single run includes executing a suite of 90 tests at a concurrency of 50. I encountered a wrong data scenario in my 10th run.
>
> Query :
> {code}
> select l_orderkey from l_3level where dir0=1 and ((dir1='one' and dir2 IN ('2015-7-12', '2015-7-13')) or (dir1='two' and dir2='2015-8-12'))
> {code}
> Wrong Result Plan (based on the profile) :
> {code}
> 00-00 Screen : rowType = RecordType(ANY l_orderkey): rowcount = 310.0, cumulative cost = {341.0 rows, 341.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 205721
> 00-01 Project(l_orderkey=[$0]) : rowType = RecordType(ANY l_orderkey): rowcount = 310.0, cumulative cost = {310.0 rows, 310.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 205720
> 00-02 Scan(groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=maprfs:/drill/testdata/metadata_caching_pp/l_3level/1/one/2015-7-13/20.parquet], ReadEntryWithPath [path=maprfs:/drill/testdata/metadata_caching_pp/l_3level/1/two/2015-8-12/30.parquet], ReadEntryWithPath [path=maprfs:/drill/testdata/metadata_caching_pp/l_3level/1/one/2015-7-12/10.parquet]], selectionRoot=maprfs:/drill/testdata/metadata_caching_pp/l_3level, numFiles=3, usedMetadataFile=true, cacheFileRoot=/drill/testdata/metadata_caching_pp/l_3level, columns=[`l_orderkey`]]]) : rowType = RecordType(ANY l_orderkey): rowcount = 310.0, cumulative cost = {310.0 rows, 310.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 205719
> {code}
> Correct Result Plan (based on the profile):
> {code}
> 00-00 Screen : rowType = RecordType(ANY l_orderkey): rowcount = 2.25, cumulative cost = {122.475 rows, 527.475 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 226849
> 00-01 Project(l_orderkey=[$3]) : rowType = RecordType(ANY l_orderkey): rowcount = 2.25, cumulative cost = {122.25 rows, 527.25 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 226848
> 00-02 SelectionVectorRemover : rowType = RecordType(ANY dir0, ANY dir1, ANY dir2, ANY l_orderkey): rowcount = 2.25, cumulative cost = {122.25 rows, 527.25 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 226847
> 00-03 Filter(condition=[AND(=($0, 1), OR(AND(=($1, 'one'), OR(=($2, '2015-7-12'), =($2, '2015-7-13'))), AND(=($1, 'two'), =($2, '2015-8-12'))))]) : rowType = RecordType(ANY dir0, ANY dir1, ANY dir2, ANY l_orderkey): rowcount = 2.25, cumulative cost = {120.0 rows, 525.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 226846
> 00-04 Scan(groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=/drill/testdata/metadata_caching_pp/l_3level/1/one/2015-7-13/20.parquet], ReadEntryWithPath [path=/drill/testdata/metadata_caching_pp/l_3level/1/two/2015-8-12/30.parquet], ReadEntryWithPath [path=/drill/testdata/metadata_caching_pp/l_3level/1/one/2015-7-12/10.parquet]], selectionRoot=/drill/testdata/metadata_caching_pp/l_3level, numFiles=3, usedMetadataFile=true, cacheFileRoot=/drill/testdata/metadata_caching_pp/l_3level/1, columns=[`dir0`, `dir1`, `dir2`, `l_orderkey`]]]) : rowType = RecordType(ANY dir0, ANY dir1, ANY dir2, ANY l_orderkey): rowcount = 60.0, cumulative cost = {60.0 rows, 240.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 226845
> {code}
> I attached the data set, log files and the query profiles. Let me know if you need anything
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