union: Return a new SparkDataFrame containing the union of rows
In SparkR: R Front End for 'Apache Spark'

Description Usage Arguments Details Value Note See Also Examples

Return a new SparkDataFrame containing the union of rows in this SparkDataFrame and another SparkDataFrame. This is equivalent to UNION ALL in SQL. Input SparkDataFrames can have different schemas (names and data types).

union(x, y)

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

`x`	A SparkDataFrame
`y`	A SparkDataFrame

Note: This does not remove duplicate rows across the two SparkDataFrames. Also as standard in SQL, this function resolves columns by position (not by name).

A SparkDataFrame containing the result of the union.

union since 2.0.0

rbind unionByName

Other SparkDataFrame functions: SparkDataFrame-class, agg(), alias(), arrange(), as.data.frame(), attach,SparkDataFrame-method, broadcast(), cache(), checkpoint(), coalesce(), collect(), colnames(), coltypes(), createOrReplaceTempView(), crossJoin(), cube(), dapplyCollect(), dapply(), describe(), dim(), distinct(), dropDuplicates(), dropna(), drop(), dtypes(), exceptAll(), except(), explain(), filter(), first(), gapplyCollect(), gapply(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersectAll(), intersect(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartitionByRange(), repartition(), rollup(), sample(), saveAsTable(), schema(), selectExpr(), select(), showDF(), show(), storageLevel(), str(), subset(), summary(), take(), toJSON(), unionAll(), unionByName(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

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

## End(Not run)