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Posted to issues@spark.apache.org by "Tim Cerexhe (JIRA)" <ji...@apache.org> on 2019/03/07 22:23:00 UTC

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

Tim Cerexhe created SPARK-27093:
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             Summary: 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


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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