[jira] [Commented] (SPARK-20411) New features for expression.scalalang.typed

["Jason Moore (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-20411?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15992517#comment-15992517 ] 

Jason Moore commented on SPARK-20411:
-------------------------------------

And, ideally, anything else within org.apache.spark.sql.functions (e.g. countDistinct).  We're looking to replace our use of DataFrames with Datasets, which means finding a replacement for all the aggregation functions that we use.  If I end up putting together some functions myself, I'll pop back here to contribute them.

> New features for expression.scalalang.typed
> -------------------------------------------
>
>                 Key: SPARK-20411
>                 URL: https://issues.apache.org/jira/browse/SPARK-20411
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.0.0, 2.0.1, 2.1.0
>            Reporter: Loic Descotte
>            Priority: Minor
>
> In Spark 2 it is possible to use typed expressions for aggregation methods: 
> {code}
> import org.apache.spark.sql.expressions.scalalang._ 
> dataset.groupByKey(_.productId).agg(typed.sum[Token](_.score)).toDF("productId", "sum").orderBy('productId).show
> {code}
> It seems that only avg, count and sum are defined : https://spark.apache.org/docs/2.1.0/api/java/org/apache/spark/sql/expressions/scalalang/typed.html
> It is very nice to be able to use a typesafe DSL, but it would be good to have more possibilities, like min and max functions.



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