Rahul Challapalli created DRILL-5115:
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Summary: 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
Reporter: Rahul Challapalli
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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