spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Takeshi Yamamuro (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19754) Casting to int from a JSON-parsed float rounds instead of truncating
Date Wed, 01 Mar 2017 03:11:45 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19754?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15889419#comment-15889419
] 

Takeshi Yamamuro commented on SPARK-19754:
------------------------------------------

cc: [~hyukjin.kwon] what do u think this?

> 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}



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org


Mime
View raw message