rbind

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Union two or more SparkDataFrames

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.

Details

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

Value

A SparkDataFrame containing the result of the union.

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(), 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(), rename(), repartitionByRange(), repartition(), rollup(), sample(), saveAsTable(), schema(), selectExpr(), select(), showDF(), show(), storageLevel(), str(), subset(), summary(), take(), toJSON(), unionByName(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(), write.stream(), write.text()

Aliases
  • rbind
  • rbind,SparkDataFrame-method
Examples
# NOT RUN {
sparkR.session()
unions <- rbind(df, df2, df3, df4)
# }
Documentation reproduced from package SparkR, version 2.4.6, License: Apache License (== 2.0)

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