Re: When to expect UTF8String?
1. Custom aggregators that do map-side combine. This is something I'd hoping to add in Spark 1.5 2. UDFs with more than 22 arguments which is not supported by ScalaUdf, and to avoid wrapping a Java function interface in one of 22 different Scala function interfaces depending on the number of parameters. I'm super open to suggestions here. Mind possibly opening a JIRA with a proposed interface?
RE: When to expect UTF8String?
We are using Expression for two things. 1. Custom aggregators that do map-side combine. 2. UDFs with more than 22 arguments which is not supported by ScalaUdf, and to avoid wrapping a Java function interface in one of 22 different Scala function interfaces depending on the number of parameters. Are there methods we can use to convert to/from the internal representation in these cases? From: Michael Armbrust [mich...@databricks.com] Sent: Thursday, June 11, 2015 9:05 PM To: Zack Sampson Cc: dev@spark.apache.org Subject: Re: When to expect UTF8String? Through the DataFrame API, users should never see UTF8String. Expression (and any class in the catalyst package) is considered internal and so uses the internal representation of various types. Which type we use here is not stable across releases. Is there a reason you aren't defining a UDF instead? On Thu, Jun 11, 2015 at 8:08 PM, zsampson zsamp...@palantir.commailto:zsamp...@palantir.com wrote: I'm hoping for some clarity about when to expect String vs UTF8String when using the Java DataFrames API. In upgrading to Spark 1.4, I'm dealing with a lot of errors where what was once a String is now a UTF8String. The comments in the file and the related commit message indicate that maybe it should be internal to SparkSQL's implementation. However, when I add a column containing a custom subclass of Expression, the row passed to the eval method contains instances of UTF8String. Ditto for AggregateFunction.update. Is this expected? If so, when should I generally know to deal with UTF8String objects? -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/When-to-expect-UTF8String-tp12710.htmlhttps://urldefense.proofpoint.com/v2/url?u=http-3A__apache-2Dspark-2Ddevelopers-2Dlist.1001551.n3.nabble.com_When-2Dto-2Dexpect-2DUTF8String-2Dtp12710.htmld=BQMFaQc=izlc9mHr637UR4lpLEZLFFS3Vn2UXBrZ4tFb6oOnmz8r=JTeV6BsFY8hARUm33aoIqBdzwQIcuTioZt881I11O_Mm=03dQBm7iPTCL33eIdtabOwGkj02beDizwxfaDAv1Xhss=EhYOx1s29rjLhkJfDhjQ_9QFNdw0GZ_YxaV6ZiXuqase= Sent from the Apache Spark Developers List mailing list archive at Nabble.com. - To unsubscribe, e-mail: dev-unsubscr...@spark.apache.orgmailto:dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.orgmailto:dev-h...@spark.apache.org - To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
Re: When to expect UTF8String?
Through the DataFrame API, users should never see UTF8String. Expression (and any class in the catalyst package) is considered internal and so uses the internal representation of various types. Which type we use here is not stable across releases. Is there a reason you aren't defining a UDF instead? On Thu, Jun 11, 2015 at 8:08 PM, zsampson zsamp...@palantir.com wrote: I'm hoping for some clarity about when to expect String vs UTF8String when using the Java DataFrames API. In upgrading to Spark 1.4, I'm dealing with a lot of errors where what was once a String is now a UTF8String. The comments in the file and the related commit message indicate that maybe it should be internal to SparkSQL's implementation. However, when I add a column containing a custom subclass of Expression, the row passed to the eval method contains instances of UTF8String. Ditto for AggregateFunction.update. Is this expected? If so, when should I generally know to deal with UTF8String objects? -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/When-to-expect-UTF8String-tp12710.html Sent from the Apache Spark Developers List mailing list archive at Nabble.com. - To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
When to expect UTF8String?
I'm hoping for some clarity about when to expect String vs UTF8String when using the Java DataFrames API. In upgrading to Spark 1.4, I'm dealing with a lot of errors where what was once a String is now a UTF8String. The comments in the file and the related commit message indicate that maybe it should be internal to SparkSQL's implementation. However, when I add a column containing a custom subclass of Expression, the row passed to the eval method contains instances of UTF8String. Ditto for AggregateFunction.update. Is this expected? If so, when should I generally know to deal with UTF8String objects? -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/When-to-expect-UTF8String-tp12710.html Sent from the Apache Spark Developers List mailing list archive at Nabble.com. - To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
