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Posted to issues@drill.apache.org by "Aman Sinha (JIRA)" <ji...@apache.org> on 2016/02/07 18:54:40 UTC
[jira] [Updated] (DRILL-4365) Performance with lots of small
parquet files
[ https://issues.apache.org/jira/browse/DRILL-4365?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Aman Sinha updated DRILL-4365:
------------------------------
Attachment: ss1test.tar.gz
gzipped tar file for sample data set
> Performance with lots of small parquet files
> --------------------------------------------
>
> Key: DRILL-4365
> URL: https://issues.apache.org/jira/browse/DRILL-4365
> Project: Apache Drill
> Issue Type: Bug
> Components: Storage - Parquet
> Affects Versions: 1.5.0
> Reporter: Aman Sinha
> Attachments: ss1test.tar.gz
>
>
> I am seeing a performance degradation on 1.5.0 compared to 1.4.0 with a query over 968 small parquet files where the total # rows is only 1000, so just about 1 row per file. The profile shows parquet scan is slower. With bigger tables, I haven't seen the same issue yet (although need confirmation from the full performance run).
> Note: this is with default slice_target of 100K so only 1 scan fragment was used. I will attach the dataset to this JIRA if anyone wants to repro.
> On 1.4.0: (with multiple runs):
> {noformat}
> 0: jdbc:drill:zk=local> select min(ss_item_sk) from dfs.tmp.ss1test ;
> +---------+
> | EXPR$0 |
> +---------+
> | 39 |
> +---------+
> 1 row selected (2.544 seconds)
> 0: jdbc:drill:zk=local> select min(ss_item_sk) from dfs.tmp.ss1test ;
> +---------+
> | EXPR$0 |
> +---------+
> | 39 |
> +---------+
> 1 row selected (2.434 seconds)
> {noformat}
> On 1.5.0: (multiple runs):
> {noformat}
> 0: jdbc:drill:zk=local> select min(ss_item_sk) from dfs.tmp.ss1test ;
> +---------+
> | EXPR$0 |
> +---------+
> | 39 |
> +---------+
> 1 row selected (3.851 seconds)
> 0: jdbc:drill:zk=local> select min(ss_item_sk) from dfs.tmp.ss1test ;
> +---------+
> | EXPR$0 |
> +---------+
> | 39 |
> +---------+
> 1 row selected (3.61 seconds)
> {noformat}
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