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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (DRILL-4735) Count(dir0) on parquet returns 0 result
Date Wed, 09 Aug 2017 14:44:01 GMT

    [ https://issues.apache.org/jira/browse/DRILL-4735?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16120019#comment-16120019
] 

ASF GitHub Bot commented on DRILL-4735:
---------------------------------------

Github user arina-ielchiieva commented on the issue:

    https://github.com/apache/drill/pull/900
  
    @jinfengni addressed code review comments. Please review when possible.


> Count(dir0) on parquet returns 0 result
> ---------------------------------------
>
>                 Key: DRILL-4735
>                 URL: https://issues.apache.org/jira/browse/DRILL-4735
>             Project: Apache Drill
>          Issue Type: Bug
>          Components: Query Planning & Optimization, Storage - Parquet
>    Affects Versions: 1.0.0, 1.4.0, 1.6.0, 1.7.0
>            Reporter: Krystal
>            Assignee: Arina Ielchiieva
>            Priority: Critical
>
> Selecting a count of dir0, dir1, etc against a parquet directory returns 0 rows.
> select count(dir0) from `min_max_dir`;
> +---------+
> | EXPR$0  |
> +---------+
> | 0       |
> +---------+
> select count(dir1) from `min_max_dir`;
> +---------+
> | EXPR$0  |
> +---------+
> | 0       |
> +---------+
> If I put both dir0 and dir1 in the same select, it returns expected result:
> select count(dir0), count(dir1) from `min_max_dir`;
> +---------+---------+
> | EXPR$0  | EXPR$1  |
> +---------+---------+
> | 600     | 600     |
> +---------+---------+
> Here is the physical plan for count(dir0) query:
> {code}
> 00-00    Screen : rowType = RecordType(BIGINT EXPR$0): rowcount = 20.0, cumulative cost
= {22.0 rows, 22.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 1346
> 00-01      Project(EXPR$0=[$0]) : rowType = RecordType(BIGINT EXPR$0): rowcount = 20.0,
cumulative cost = {20.0 rows, 20.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 1345
> 00-02        Project(EXPR$0=[$0]) : rowType = RecordType(BIGINT EXPR$0): rowcount = 20.0,
cumulative cost = {20.0 rows, 20.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 1344
> 00-03          Scan(groupscan=[org.apache.drill.exec.store.pojo.PojoRecordReader@3da85d3b[columns
= null, isStarQuery = false, isSkipQuery = false]]) : rowType = RecordType(BIGINT count):
rowcount = 20.0, cumulative cost = {20.0 rows, 20.0 cpu, 0.0 io, 0.0 network, 0.0 memory},
id = 1343
> {code}
> Here is part of the explain plan for the count(dir0) and count(dir1) in the same select:
> {code}
> 00-00    Screen : rowType = RecordType(BIGINT EXPR$0, BIGINT EXPR$1): rowcount = 60.0,
cumulative cost = {1206.0 rows, 15606.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 1623
> 00-01      Project(EXPR$0=[$0], EXPR$1=[$1]) : rowType = RecordType(BIGINT EXPR$0, BIGINT
EXPR$1): rowcount = 60.0, cumulative cost = {1200.0 rows, 15600.0 cpu, 0.0 io, 0.0 network,
0.0 memory}, id = 1622
> 00-02        StreamAgg(group=[{}], EXPR$0=[COUNT($0)], EXPR$1=[COUNT($1)]) : rowType
= RecordType(BIGINT EXPR$0, BIGINT EXPR$1): rowcount = 60.0, cumulative cost = {1200.0 rows,
15600.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 1621
> 00-03          Scan(groupscan=[ParquetGroupScan [entries=[ReadEntryWithPath [path=maprfs:/drill/testdata/min_max_dir/1999/Apr/voter20.parquet/0_0_0.parquet],
ReadEntryWithPath [path=maprfs:/drill/testdata/min_max_dir/1999/MAR/voter15.parquet/0_0_0.parquet],
ReadEntryWithPath [path=maprfs:/drill/testdata/min_max_dir/1985/jan/voter5.parquet/0_0_0.parquet],
ReadEntryWithPath [path=maprfs:/drill/testdata/min_max_dir/1985/apr/voter60.parquet/0_0_0.parquet],...,
ReadEntryWithPath [path=maprfs:/drill/testdata/min_max_dir/2014/jul/voter35.parquet/0_0_0.parquet]],
selectionRoot=maprfs:/drill/testdata/min_max_dir, numFiles=16, usedMetadataFile=false, columns=[`dir0`,
`dir1`]]]) : rowType = RecordType(ANY dir0, ANY dir1): rowcount = 600.0, cumulative cost =
{600.0 rows, 1200.0 cpu, 0.0 io, 0.0 network, 0.0 memory}, id = 1620
> {code}
> Notice that in the first case, "org.apache.drill.exec.store.pojo.PojoRecordReader" is
used.



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