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https://issues.apache.org/jira/browse/SPARK-24175?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-24175.
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Resolution: Won't Fix
> improve the Spark 2.4 migration guide
> -------------------------------------
>
> Key: SPARK-24175
> URL: https://issues.apache.org/jira/browse/SPARK-24175
> Project: Spark
> Issue Type: Improvement
> Components: Documentation, SQL
> Affects Versions: 2.4.0
> Reporter: Wenchen Fan
> Priority: Major
>
> The current Spark 2.4 migration guide is not well phrased. We should
> 1. State the before behavior
> 2. State the after behavior
> 3. Add a concrete example with code to illustrate.
> For example:
> Since Spark 2.4, Spark compares a DATE type with a TIMESTAMP type after
> promotes both sides to TIMESTAMP. To set `false` to
> `spark.sql.hive.compareDateTimestampInTimestamp` restores the previous
> behavior. This option will be removed in Spark 3.0.
> -->
> In version 2.3 and earlier, Spark implicitly casts a timestamp column to date
> type when comparing with a date column. In version 2.4 and later, Spark casts
> the date column to timestamp type instead. As an example, "xxx" would result
> in ".." in Spark 2.3, and in Spark 2.4, the result would be "..."
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