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https://issues.apache.org/jira/browse/SPARK-23549?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dong Jiang updated SPARK-23549:
-------------------------------
Description:
{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?
was:
{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}
> 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: 2.2.1
> Reporter: Dong Jiang
> Priority: Major
>
> {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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