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From "Simon poortman (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (HIVE-21455) Too verbose logging in AvroGenericRecordReader
Date Mon, 25 Mar 2019 04:09:00 GMT

     [ https://issues.apache.org/jira/browse/HIVE-21455?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Simon poortman reassigned HIVE-21455:
-------------------------------------

    Assignee: Simon poortman  (was: Miklos Szurap)

> Too verbose logging in AvroGenericRecordReader
> ----------------------------------------------
>
>                 Key: HIVE-21455
>                 URL: https://issues.apache.org/jira/browse/HIVE-21455
>             Project: Hive
>          Issue Type: Improvement
>          Components: HiveServer2
>    Affects Versions: 1.2.0, 1.1.0, 2.0.0, 2.1.0, 3.0.0, 3.1.0
>            Reporter: Miklos Szurap
>            Assignee: Simon poortman
>            Priority: Minor
>         Attachments: HIVE-21455.2.patch, HIVE-21455.patch
>
>
> {{AvroGenericRecordReader}} logs the Avro schema for each datafile. It is too verbose,
likely we don't need to log that on INFO level.
> For example a table:
> {noformat}
> create table avro_tbl (c1 string, c2 int, c3 float) stored as avro;
> {noformat}
> and querying it with a select star - with 3 datafiles HiveServer2 logs the following:
> {noformat}
> 2019-03-15 09:18:35,999 INFO  org.apache.hadoop.mapred.FileInputFormat: [HiveServer2-Handler-Pool:
Thread-64]: Total input paths to process : 3
> 2019-03-15 09:18:35,999 INFO  org.apache.hadoop.hive.ql.io.avro.AvroGenericRecordReader:
[HiveServer2-Handler-Pool: Thread-64]: Found the avro schema in the job: {"type":"record","name":"avro_tbl","namespace":"test","fields":[{"name":"c1","type":["null","string"],"default":null},{"name":"c2","type":["null","int"],"default":null},{"name":"c3","type":["null","float"],"default":null}]}
> 2019-03-15 09:18:36,004 INFO  org.apache.hadoop.hive.ql.io.avro.AvroGenericRecordReader:
[HiveServer2-Handler-Pool: Thread-64]: Found the avro schema in the job: {"type":"record","name":"avro_tbl","namespace":"test","fields":[{"name":"c1","type":["null","string"],"default":null},{"name":"c2","type":["null","int"],"default":null},{"name":"c3","type":["null","float"],"default":null}]}
> 2019-03-15 09:18:36,010 INFO  org.apache.hadoop.hive.ql.io.avro.AvroGenericRecordReader:
[HiveServer2-Handler-Pool: Thread-64]: Found the avro schema in the job: {"type":"record","name":"avro_tbl","namespace":"test","fields":[{"name":"c1","type":["null","string"],"default":null},{"name":"c2","type":["null","int"],"default":null},{"name":"c3","type":["null","float"],"default":null}]}
> {noformat}
> This has a huge performance and storage penalty on a table with big schema and thousands
of datafiles.



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