S4 class that represents a SparkDataFrame — SparkDataFrame-class • SparkR

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

Slots

env: An R environment that stores bookkeeping states of the SparkDataFrame
sdf: A Java object reference to the backing Scala DataFrame

Note

SparkDataFrame since 2.0.0

See also

createDataFrame, read.json, table

https://spark.apache.org/docs/latest/sparkr.html#sparkr-dataframes

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

Examples

if (FALSE) { # \dontrun{ sparkR.session() df <- createDataFrame(faithful) } # }