[
https://issues.apache.org/jira/browse/AVRO-2015?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15953032#comment-15953032
]
Navdeep Poonia commented on AVRO-2015:
--------------------------------------
figured it should go in hive project.
> Ability to skip or repair out of sync blocks with HIVE at runtime
> -----------------------------------------------------------------
>
> Key: AVRO-2015
> URL: https://issues.apache.org/jira/browse/AVRO-2015
> Project: Avro
> Issue Type: New Feature
> Reporter: Navdeep Poonia
> Priority: Minor
>
> When a file is corrupted it raises the error java.io.IOException: Invalid
> sync! with hive.
> Can we have some functionality to skip or repair such blocks at runtime to
> make avro more error resilient in case of data corruption.
> Error: java.io.IOException: java.io.IOException: java.io.IOException: While
> processing file
> s3n://dev.canopydata.com/navdeepp/warehouse/avro_test/354dc34474404f4bbc0d8013fc8e6e4b_000042.
> java.io.IOException: Invalid sync!
> at
> org.apache.hadoop.hive.io.HiveIOExceptionHandlerChain.handleRecordReaderNextException(HiveIOExceptionHandlerChain.java:121)
> at
> org.apache.hadoop.hive.io.HiveIOExceptionHandlerUtil.handleRecordReaderNextException(HiveIOExceptionHandlerUtil.java:77)
> at
> org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileRecordReader.doNextWithExceptionHandler(HadoopShimsSecure.java:334)
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
