Dong Jiang created SPARK-23549:
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Summary: 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
{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}
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