[jira] [Updated] (SPARK-6379) Support a functon to call user-defined functions registered in SQLContext
[ https://issues.apache.org/jira/browse/SPARK-6379?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Reynold Xin updated SPARK-6379: --- Description: This is useful for using pre-defined UDFs in SQLContext; {code} 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, callUdf(simpleUdf, $value)) {code} was: This is useful for using pre-defined UDFs in SQLContext; {code} val df = Seq((id1, 1), (id2, 4), (id3, 5)).toDF(id, value) val sqlctx = df.sqlContext sqlctx.udf.register(simpleUdf, (v: Int) = v * v) df.select($id, sqlctx.callUdf(simpleUdf, $value)) {code} Support a functon to call user-defined functions registered in SQLContext - Key: SPARK-6379 URL: https://issues.apache.org/jira/browse/SPARK-6379 Project: Spark Issue Type: Improvement Components: SQL Reporter: Takeshi Yamamuro Assignee: Takeshi Yamamuro Fix For: 1.4.0 This is useful for using pre-defined UDFs in SQLContext; {code} val df = Seq((id1, 1), (id2, 4), (id3, 5)).toDF(id, value) val sqlctx = df.sqlContext sqlctx.udf.register(simpleUdf, (v: Int) = v * v) df.select($id, callUdf(simpleUdf, $value)) {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-6379) Support a functon to call user-defined functions registered in SQLContext
[ https://issues.apache.org/jira/browse/SPARK-6379?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Reynold Xin updated SPARK-6379: --- Description: This is useful for using pre-defined UDFs in SQLContext; {code} val df = Seq((id1, 1), (id2, 4), (id3, 5)).toDF(id, value) val sqlctx = df.sqlContext sqlctx.udf.register(simpleUdf, (v: Int) = v * v) df.select($id, sqlctx.callUdf(simpleUdf, $value)) {code} was: This is useful for using pre-defined UDFs in SQLContext; val df = Seq((id1, 1), (id2, 4), (id3, 5)).toDF(id, value) val sqlctx = df.sqlContext sqlctx.udf.register(simpleUdf, (v: Int) = v * v) df.select($id, sqlctx.callUdf(simpleUdf, $value)) Support a functon to call user-defined functions registered in SQLContext - Key: SPARK-6379 URL: https://issues.apache.org/jira/browse/SPARK-6379 Project: Spark Issue Type: Improvement Components: SQL Reporter: Takeshi Yamamuro Assignee: Takeshi Yamamuro Fix For: 1.4.0 This is useful for using pre-defined UDFs in SQLContext; {code} val df = Seq((id1, 1), (id2, 4), (id3, 5)).toDF(id, value) val sqlctx = df.sqlContext sqlctx.udf.register(simpleUdf, (v: Int) = v * v) df.select($id, sqlctx.callUdf(simpleUdf, $value)) {code} -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-6379) Support a functon to call user-defined functions registered in SQLContext
[ https://issues.apache.org/jira/browse/SPARK-6379?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Armbrust updated SPARK-6379: Assignee: Takeshi Yamamuro Support a functon to call user-defined functions registered in SQLContext - Key: SPARK-6379 URL: https://issues.apache.org/jira/browse/SPARK-6379 Project: Spark Issue Type: Improvement Components: SQL Reporter: Takeshi Yamamuro Assignee: Takeshi Yamamuro Fix For: 1.4.0 This is useful for using pre-defined UDFs in SQLContext; val df = Seq((id1, 1), (id2, 4), (id3, 5)).toDF(id, value) val sqlctx = df.sqlContext sqlctx.udf.register(simpleUdf, (v: Int) = v * v) df.select($id, sqlctx.callUdf(simpleUdf, $value)) -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-6379) Support a functon to call user-defined functions registered in SQLContext
[ https://issues.apache.org/jira/browse/SPARK-6379?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Takeshi Yamamuro updated SPARK-6379: Description: This is useful for using pre-defined UDFs in SQLContext; val df = Seq((id1, 1), (id2, 4), (id3, 5)).toDF(id, value) val sqlctx = df.sqlContext sqlctx.udf.register(simpleUdf, (v: Int) = v * v) df.select($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, udfsimpleUdf($value)) Support a functon to call user-defined functions registered in SQLContext - Key: SPARK-6379 URL: https://issues.apache.org/jira/browse/SPARK-6379 Project: Spark Issue Type: Improvement Components: SQL Reporter: Takeshi Yamamuro This is useful for using pre-defined UDFs in SQLContext; val df = Seq((id1, 1), (id2, 4), (id3, 5)).toDF(id, value) val sqlctx = df.sqlContext sqlctx.udf.register(simpleUdf, (v: Int) = v * v) df.select($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