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?
--
Sent from: http://apache-spark-developers-list.1001551.n3.nabble.com/
---------------------------------------------------------------------
To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
