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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2019/03/08 18:43:00 UTC

[jira] [Assigned] (SPARK-27093) Honor ParseMode in AvroFileFormat

     [ https://issues.apache.org/jira/browse/SPARK-27093?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-27093:
------------------------------------

    Assignee: Apache Spark

> Honor ParseMode in AvroFileFormat
> ---------------------------------
>
>                 Key: SPARK-27093
>                 URL: https://issues.apache.org/jira/browse/SPARK-27093
>             Project: Spark
>          Issue Type: Improvement
>          Components: Input/Output
>    Affects Versions: 2.4.0
>            Reporter: Tim Cerexhe
>            Assignee: Apache Spark
>            Priority: Major
>
> The Avro reader is missing the ability to handle malformed or truncated files like the JSON reader. Currently it throws exceptions when it encounters any bad or truncated record in an Avro file, causing the entire Spark job to fail from a single dodgy file. 
> Ideally the AvroFileFormat would accept a Permissive or DropMalformed ParseMode like Spark's JSON format. This would enable the the Avro reader to drop bad records and continue processing the good records rather than abort the entire job. 
> Obviously the default could remain as FailFastMode, which is the current effective behavior, so this wouldn’t break any existing users.



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