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Posted to issues@spark.apache.org by "John Zhuge (JIRA)" <ji...@apache.org> on 2019/02/22 01:38:00 UTC
[jira] [Resolved] (SPARK-20314) Inconsistent error handling in JSON
parsing SQL functions
[ https://issues.apache.org/jira/browse/SPARK-20314?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
John Zhuge resolved SPARK-20314.
--------------------------------
Resolution: Duplicate
Resolve it as duplicate.
> 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
> Priority: Major
>
> 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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