union {SparkR}R Documentation

Return a new SparkDataFrame containing the union of rows

Description

Return a new SparkDataFrame containing the union of rows in this SparkDataFrame and another SparkDataFrame. This is equivalent to UNION ALL in SQL.

unionAll is deprecated - use union instead

Usage

union(x, y)

unionAll(x, y)

## S4 method for signature 'SparkDataFrame,SparkDataFrame'
union(x, y)

## S4 method for signature 'SparkDataFrame,SparkDataFrame'
unionAll(x, y)

Arguments

x

A SparkDataFrame

y

A SparkDataFrame

Details

Note: This does not remove duplicate rows across the two SparkDataFrames.

Value

A SparkDataFrame containing the result of the union.

Note

union since 2.0.0

unionAll since 1.4.0

See Also

rbind

Other SparkDataFrame functions: SparkDataFrame-class, agg, arrange, as.data.frame, attach, cache, coalesce, collect, colnames, coltypes, createOrReplaceTempView, crossJoin, dapplyCollect, dapply, describe, dim, distinct, dropDuplicates, dropna, drop, dtypes, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, histogram, insertInto, intersect, isLocal, join, limit, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, repartition, sample, saveAsTable, schema, selectExpr, select, showDF, show, storageLevel, str, subset, take, unpersist, withColumn, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.text

Examples

## Not run: 
##D sparkR.session()
##D df1 <- read.json(path)
##D df2 <- read.json(path2)
##D unioned <- union(df, df2)
##D unions <- rbind(df, df2, df3, df4)
## End(Not run)

[Package SparkR version 2.1.3 Index]