You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@drill.apache.org by "Anton Gozhiy (JIRA)" <ji...@apache.org> on 2018/03/07 17:04:00 UTC
[jira] [Created] (DRILL-6219) Filter pushdown doesn't work with
star operator if there is a subquery with it's own filter
Anton Gozhiy created DRILL-6219:
-----------------------------------
Summary: Filter pushdown doesn't work with star operator if there is a subquery with it's own filter
Key: DRILL-6219
URL: https://issues.apache.org/jira/browse/DRILL-6219
Project: Apache Drill
Issue Type: Bug
Affects Versions: 1.13.0
Reporter: Anton Gozhiy
*Data set:*
The data is generated used the attached file: *DRILL_6118_data_source.csv*
Data gen commands:
{code:sql}
create table dfs.tmp.`DRILL_6118_parquet_partitioned_by_folders/d1` (c1, c2, c3, c4, c5) as select cast(columns[0] as int) c1, columns[1] c2, columns[2] c3, columns[3] c4, columns[4] c5 from dfs.tmp.`DRILL_6118_data_source.csv` where columns[0] in (1, 3);
create table dfs.tmp.`DRILL_6118_parquet_partitioned_by_folders/d2` (c1, c2, c3, c4, c5) as select cast(columns[0] as int) c1, columns[1] c2, columns[2] c3, columns[3] c4, columns[4] c5 from dfs.tmp.`DRILL_6118_data_source.csv` where columns[0]=2;
create table dfs.tmp.`DRILL_6118_parquet_partitioned_by_folders/d3` (c1, c2, c3, c4, c5) as select cast(columns[0] as int) c1, columns[1] c2, columns[2] c3, columns[3] c4, columns[4] c5 from dfs.tmp.`DRILL_6118_data_source.csv` where columns[0]>3;
{code}
*Steps:*
# Execute the following query:
{code:sql}
select * from (select * from dfs.drillTestDir.`DRILL_6118_parquet_partitioned_by_folders` where c1>2) where c1>3{code}
*Expected result:*
Filrers "c1>3" and "c1>2" should both be pushed down so only the data from the folder "d3" should be scanned.
*Actual result:*
The data from the folders "d1" and "d3" are being scanned so as only filter "c1>2" is pushed down
*Physical plan:*
{code}
00-00 Screen : rowType = RecordType(DYNAMIC_STAR **): rowcount = 10.0, cumulative cost = {201.0 rows, 581.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105545
00-01 Project(**=[$0]) : rowType = RecordType(DYNAMIC_STAR **): rowcount = 10.0, cumulative cost = {200.0 rows, 580.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105544
00-02 SelectionVectorRemover : rowType = RecordType(DYNAMIC_STAR T25¦¦**): rowcount = 10.0, cumulative cost = {190.0 rows, 570.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105543
00-03 Filter(condition=[>(ITEM($0, 'c1'), 3)]) : rowType = RecordType(DYNAMIC_STAR T25¦¦**): rowcount = 10.0, cumulative cost = {180.0 rows, 560.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105542
00-04 Project(T25¦¦**=[$0]) : rowType = RecordType(DYNAMIC_STAR T25¦¦**): rowcount = 20.0, cumulative cost = {160.0 rows, 440.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105541
00-05 SelectionVectorRemover : rowType = RecordType(DYNAMIC_STAR T25¦¦**, ANY c1): rowcount = 20.0, cumulative cost = {140.0 rows, 420.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105540
00-06 Filter(condition=[>($1, 2)]) : rowType = RecordType(DYNAMIC_STAR T25¦¦**, ANY c1): rowcount = 20.0, cumulative cost = {120.0 rows, 400.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105539
00-07 Project(T25¦¦**=[$0], c1=[$1]) : rowType = RecordType(DYNAMIC_STAR T25¦¦**, ANY c1): rowcount = 40.0, cumulative cost = {80.0 rows, 160.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105538
00-08 Scan(groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=/drill/testdata/DRILL_6118_parquet_partitioned_by_folders/d1/0_0_0.parquet], ReadEntryWithPath [path=/drill/testdata/DRILL_6118_parquet_partitioned_by_folders/d3/0_0_0.parquet]], selectionRoot=maprfs:/drill/testdata/DRILL_6118_parquet_partitioned_by_folders, numFiles=2, numRowGroups=2, usedMetadataFile=false, columns=[`**`]]]) : rowType = RecordType(DYNAMIC_STAR **, ANY c1): rowcount = 40.0, cumulative cost = {40.0 rows, 80.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 105537
{code}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)