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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/09/21 02:04:00 UTC
[jira] [Commented] (SPARK-23549) Spark SQL unexpected behavior when
comparing timestamp to date
[ https://issues.apache.org/jira/browse/SPARK-23549?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16622958#comment-16622958 ]
Apache Spark commented on SPARK-23549:
--------------------------------------
User 'rxin' has created a pull request for this issue:
https://github.com/apache/spark/pull/22508
> 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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