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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-20314) Inconsistent error handling in JSON parsing SQL functions
Date Thu, 20 Apr 2017 00:08:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-20314?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-20314:
------------------------------------

    Assignee: Apache Spark

> 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
>            Assignee: Apache Spark
>
> 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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