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From "Xiao Li (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-23549) Spark SQL unexpected behavior when comparing timestamp to date
Date Sun, 25 Mar 2018 23:41:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-23549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiao Li resolved SPARK-23549.
-----------------------------
       Resolution: Fixed
         Assignee: Kazuaki Ishizaki
    Fix Version/s: 2.4.0

> Spark SQL unexpected behavior when comparing timestamp to date
> --------------------------------------------------------------
>
>                 Key: SPARK-23549
>                 URL: https://issues.apache.org/jira/browse/SPARK-23549
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.3, 2.0.2, 2.1.2, 2.2.1, 2.3.0
>            Reporter: Dong Jiang
>            Assignee: Kazuaki Ishizaki
>            Priority: Major
>             Fix For: 2.4.0
>
>
> {code:java}
> scala> spark.version
> res1: String = 2.2.1
> scala> spark.sql("select cast('2017-03-01 00:00:00' as timestamp) between cast('2017-02-28'
as date) and cast('2017-03-01' as date)").show
> +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
> |((CAST(CAST(2017-03-01 00:00:00 AS TIMESTAMP) AS STRING) >= CAST(CAST(2017-02-28
AS DATE) AS STRING)) AND (CAST(CAST(2017-03-01 00:00:00 AS TIMESTAMP) AS STRING) <= CAST(CAST(2017-03-01
AS DATE) AS STRING)))|
> +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
> |                                                       
                                                           
                                                           
                          false|
> +---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+{code}
> As shown above, when a timestamp is compared to date in SparkSQL, both timestamp and
date are downcast to string, and leading to unexpected result. If run the same SQL in presto/Athena,
I got the expected result
> {code:java}
> select cast('2017-03-01 00:00:00' as timestamp) between cast('2017-02-28' as date) and
cast('2017-03-01' as date)
>  	_col0
> 1	true
> {code}
> Is this a bug for Spark or a feature?



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