SparkDataFrame-class {SparkR}R Documentation

S4 class that represents a SparkDataFrame


SparkDataFrames can be created using functions like createDataFrame, read.json, table etc.



An R environment that stores bookkeeping states of the SparkDataFrame


A Java object reference to the backing Scala DataFrame


SparkDataFrame since 2.0.0

See Also

createDataFrame, read.json, table

Other SparkDataFrame functions: agg(), alias(), arrange(),, 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(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.orc(), write.parquet(),, write.text()


## Not run: 
##D sparkR.session()
##D df <- createDataFrame(faithful)
## End(Not run)

[Package SparkR version 3.2.1 Index]