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Posted to user@spark.apache.org by chrish2312 <ch...@palantir.com> on 2015/07/08 00:19:53 UTC

Hive UDFs

I know the typical way to apply a hive UDF to a dataframe is basically
something like:

dataframe.selectExpr("reverse(testString) as reversedString")

Is there a way to apply the hive UDF just to a single row and get a row
back? Something like:

dataframe.first.selectExpr("reverse(testString) as reversedString")

Thanks in advance!



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RE: Hive UDFs

Posted by "Cheng, Hao" <ha...@intel.com>.
dataframe.limit(1).selectExpr("xxx").collect()?

-----Original Message-----
From: chrish2312 [mailto:chsu@palantir.com] 
Sent: Wednesday, July 8, 2015 6:20 AM
To: user@spark.apache.org
Subject: Hive UDFs

I know the typical way to apply a hive UDF to a dataframe is basically something like:

dataframe.selectExpr("reverse(testString) as reversedString")

Is there a way to apply the hive UDF just to a single row and get a row back? Something like:

dataframe.first.selectExpr("reverse(testString) as reversedString")

Thanks in advance!



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View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Hive-UDFs-tp23707.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.

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