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Deborah Siegel commented on SPARK-9318: --------------------------------------- Narine, just want to offer that I haven't replicated that problem. x <- data.frame(k1 = c(NA,NA,3,4,5), k2 = c(1,NA,NA,4,5), data = 1:5) y <- data.frame(k1 = c(NA,2,NA,4,5), k2 = c(NA,NA,3,4,5), data = 1:5) xdf <- createDataFrame(sqlContext, x) ydf <- createDataFrame(sqlContext, y) res <- join(xdf,ydf) head(res) k1 k2 data k1 k2 data 1 NA 1 1 NA NA 1 2 NA 1 1 2 NA 2 3 NA 1 1 NA 3 3 4 NA 1 1 4 4 4 5 NA 1 1 5 5 5 6 NA NA 2 NA NA 1 > printSchema(res) root |-- k1: double (nullable = true) |-- k2: double (nullable = true) |-- data: integer (nullable = true) |-- k1: double (nullable = true) |-- k2: double (nullable = true) |-- data: integer (nullable = true) > Add `merge` as synonym for join > ------------------------------- > > Key: SPARK-9318 > URL: https://issues.apache.org/jira/browse/SPARK-9318 > Project: Spark > Issue Type: Sub-task > Components: SparkR > Reporter: Shivaram Venkataraman > Assignee: Hossein Falaki > Fix For: 1.5.0 > > -- 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