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https://issues.apache.org/jira/browse/SPARK-8420?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-8420:
-----------------------------------
Assignee: Michael Armbrust (was: Apache Spark)
> Inconsistent behavior with Dataframe Timestamp between 1.3.1 and 1.4.0
> ----------------------------------------------------------------------
>
> Key: SPARK-8420
> URL: https://issues.apache.org/jira/browse/SPARK-8420
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.0
> Reporter: Justin Yip
> Assignee: Michael Armbrust
> Priority: Blocker
>
> I am trying out 1.4.0 and notice there are some differences in behavior with
> Timestamp between 1.3.1 and 1.4.0.
> In 1.3.1, I can compare a Timestamp with string.
> {code}
> scala> val df = sqlContext.createDataFrame(Seq((1,
> Timestamp.valueOf("2015-01-01 00:00:00")), (2, Timestamp.valueOf("2014-01-01
> 00:00:00"))))
> ...
> scala> df.filter($"_2" <= "2014-06-01").show
> ...
> _1 _2
> 2 2014-01-01 00:00:...
> {code}
> However, in 1.4.0, the filter is always false:
> {code}
> scala> val df = sqlContext.createDataFrame(Seq((1,
> Timestamp.valueOf("2015-01-01 00:00:00")), (2, Timestamp.valueOf("2014-01-01
> 00:00:00"))))
> df: org.apache.spark.sql.DataFrame = [_1: int, _2: timestamp]
> scala> df.filter($"_2" <= "2014-06-01").show
> +--+--+
> |_1|_2|
> +--+--+
> +--+--+
> {code}
> Not sure if that is intended, but I cannot find any doc mentioning these
> inconsistencies.
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