SparkR (version 2.1.2)

union: 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 SparkDataFrame,SparkDataFrame
union(x, y)
# S4 method for SparkDataFrame,SparkDataFrame
unionAll(x, y)

Arguments

x

A SparkDataFrame

y

A SparkDataFrame

Value

A SparkDataFrame containing the result of the union.

Details

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

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 {
sparkR.session()
df1 <- read.json(path)
df2 <- read.json(path2)
unioned <- union(df, df2)
unions <- rbind(df, df2, df3, df4)
# }