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https://issues.apache.org/jira/browse/SPARK-6379?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Takeshi Yamamuro updated SPARK-6379:
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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"))
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