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Yin Huai commented on SPARK-6548: --------------------------------- [~JihongMA] Will you have time to implement stddev based on our new aggregate function interface? {{AlgebraicAggregate}} is the abstract class to use and you can take a look at {{org.apache.spark.sql.catalyst.expressions.aggregate.Average}} as an example. Let me know if you have any question. Thanks! > stddev_pop and stddev_samp aggregate functions > ---------------------------------------------- > > Key: SPARK-6548 > URL: https://issues.apache.org/jira/browse/SPARK-6548 > Project: Spark > Issue Type: Sub-task > Components: SQL > Reporter: Reynold Xin > Labels: DataFrame, starter > > Add it to the list of aggregate functions: > https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/functions.scala > Also add it to > https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/GroupedData.scala > We can either add a Stddev Catalyst expression, or just compute it using > existing functions like here: > https://github.com/apache/spark/commit/5bbcd1304cfebba31ec6857a80d3825a40d02e83#diff-c3d0394b2fc08fb2842ff0362a5ac6c9R776 -- 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