Union two or more SparkDataFrames — rbind • SparkR

Union two or more SparkDataFrames by row. As in R's rbind, this method requires that the input SparkDataFrames have the same column names.

Usage

rbind(..., deparse.level = 1)

# S4 method for SparkDataFrame
rbind(x, ..., deparse.level = 1)

Arguments

...: additional SparkDataFrame(s).
deparse.level: currently not used (put here to match the signature of the base implementation).
x: a SparkDataFrame.

Value

A SparkDataFrame containing the result of the union.

Details

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

Note

rbind since 1.5.0

See also

union 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(), dapply(), dapplyCollect(), describe(), dim(), distinct(), drop(), dropDuplicates(), dropna(), dtypes(), except(), exceptAll(), explain(), filter(), first(), gapply(), gapplyCollect(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersect(), intersectAll(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rename(), repartition(), repartitionByRange(), rollup(), sample(), saveAsTable(), schema(), select(), selectExpr(), show(), showDF(), storageLevel(), str(), subset(), summary(), take(), toJSON(), union(), unionAll(), unionByName(), unpersist(), unpivot(), with(), withColumn(), withWatermark(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Examples

if (FALSE) {
sparkR.session()
unions <- rbind(df, df2, df3, df4)
}