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https://issues.apache.org/jira/browse/SPARK-19754?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15890272#comment-15890272
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Hyukjin Kwon commented on SPARK-19754:
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I see. It'd be great if anyone can identify the JIRA fixing this and backports
it. I am resolving this as I can't find the JIRA but I can't reproduce this in
the current master.
> 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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