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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/03/01 14:32:45 UTC
[jira] [Resolved] (SPARK-19754) Casting to int from a JSON-parsed
float rounds instead of truncating
[ https://issues.apache.org/jira/browse/SPARK-19754?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-19754.
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Resolution: Cannot Reproduce
> Casting to int from a JSON-parsed float rounds instead of truncating
> --------------------------------------------------------------------
>
> Key: SPARK-19754
> URL: https://issues.apache.org/jira/browse/SPARK-19754
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.6.3, 2.1.0
> Reporter: Juan Pumarino
> Priority: Minor
>
> When retrieving a float value from a JSON document, and then casting it to an integer, Hive simply truncates it, while Spark is rounding up when the decimal value is >= 5.
> In Hive, the following query returns {{1}}, whereas in a Spark shell the result is {{2}}.
> {code}
> SELECT CAST(get_json_object('{"a": 1.6}', '$.a') AS INT)
> {code}
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