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https://issues.apache.org/jira/browse/HIVE-21455?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16796888#comment-16796888
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Hive QA commented on HIVE-21455:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12963013/HIVE-21455.2.patch

{color:red}ERROR:{color} -1 due to no test(s) being added or modified.

{color:green}SUCCESS:{color} +1 due to 15832 tests passed

Test results: 
https://builds.apache.org/job/PreCommit-HIVE-Build/16584/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/16584/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-16584/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12963013 - PreCommit-HIVE-Build

> 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: Miklos Szurap
>            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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