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https://issues.apache.org/jira/browse/SPARK-20314?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15975767#comment-15975767
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Apache Spark commented on SPARK-20314:
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User 'ewasserman' has created a pull request for this issue:
https://github.com/apache/spark/pull/17693
> Inconsistent error handling in JSON parsing SQL functions
> ---------------------------------------------------------
>
> Key: SPARK-20314
> URL: https://issues.apache.org/jira/browse/SPARK-20314
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Eric Wasserman
>
> Most parse errors in the JSON parsing SQL functions (e.g. json_tuple,
> get_json_object) will return a null(s) if the JSON is badly formed. However,
> if Jackson determines that the string includes invalid characters it will
> throw an exception (java.io.CharConversionException: Invalid UTF-32
> character) that Spark does not catch. This creates a robustness problem in
> that these functions cannot be used at all when there may be dirty data as
> these exceptions will kill the jobs.
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