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https://issues.apache.org/jira/browse/SPARK-24673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16526118#comment-16526118
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Takeshi Yamamuro commented on SPARK-24673:
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It makes sense. Can you make a pr?
> scala sql function from_utc_timestamp second argument could be Column instead
> of String
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-24673
> URL: https://issues.apache.org/jira/browse/SPARK-24673
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: Antonio Murgia
> Priority: Minor
>
> As of 2.3.1 the scala API for the built-in function from_utc_timestamp
> (org.apache.spark.sql.functions#from_utc_timestamp) is less powerful than its
> SQL counter part. In particular, given a dataset/dataframe with the following
> schema:
> {code:java}
> CREATE TABLE MY_TABLE (
> ts TIMESTAMP,
> tz STRING
> ){code}
> from the SQL api I can do something like:
> {code:java}
> SELECT FROM_UTC_TIMESTAMP(TS, TZ){code}
> while from the programmatic api I simply cannot because
> {code:java}
> functions.from_utc_timestamp(ts: Column, tz: String){code}
> second argument is a String.
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