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https://issues.apache.org/jira/browse/SPARK-27093?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16787440#comment-16787440
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Hyukjin Kwon commented on SPARK-27093:
--------------------------------------
[~timothyc], BTW, if it's expected to take awhile to clean up before opening a
PR, please feel free to just open a PR. It doesn't necessarily have to be
perfect.
> 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
> 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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