[ https://issues.apache.org/jira/browse/SPARK-6379?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Takeshi Yamamuro updated SPARK-6379: ------------------------------------ Description: This is useful for using pre-defined UDFs in SQLContext; val df = Seq(("id1", 1), ("id2", 4), ("id3", 5)).toDF("id", "value") val sqlctx = df.sqlContext sqlctx.udf.register("simpleUdf", (v: Int) => v * v) df.select($"id", sqlctx.callUdf("simpleUdf", $"value")) was: This is useful for using pre-defined UDFs in SQLContext; val df = Seq(("id1", 1), ("id2", 4), ("id3", 5)).toDF("id", "value") df.sqlContext.udf.register("simpleUdf", (v: Int) => v * v) df.select($"id", udf"simpleUdf"($"value")) > Support a functon to call user-defined functions registered in SQLContext > ------------------------------------------------------------------------- > > Key: SPARK-6379 > URL: https://issues.apache.org/jira/browse/SPARK-6379 > Project: Spark > Issue Type: Improvement > Components: SQL > Reporter: Takeshi Yamamuro > > This is useful for using pre-defined UDFs in SQLContext; > val df = Seq(("id1", 1), ("id2", 4), ("id3", 5)).toDF("id", "value") > val sqlctx = df.sqlContext > sqlctx.udf.register("simpleUdf", (v: Int) => v * v) > df.select($"id", sqlctx.callUdf("simpleUdf", $"value")) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org