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From Dong Jiang <dji...@dataxu.com>
Subject Spark SQL unexpected behavior when comparing timestamp to date
Date Fri, 02 Mar 2018 18:28:03 GMT
Hi, 

I opened a JIRA ticket https://issues.apache.org/jira/browse/SPARK-23549, I
don't know if anyone can take a look?

Spark SQL unexpected behavior when comparing timestamp to date

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|

+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+

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

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

Is this a bug for Spark or a feature?



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