SparkR (version 2.3.0)

SparkDataFrame-class: S4 class that represents a SparkDataFrame

Description

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

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, except, explain, filter, first, gapplyCollect, gapply, getNumPartitions, group_by, head, hint, histogram, insertInto, intersect, isLocal, isStreaming, join, limit, localCheckpoint, merge, mutate, ncol, nrow, persist, printSchema, randomSplit, rbind, registerTempTable, rename, 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

Examples

# NOT RUN {
sparkR.session()
df <- createDataFrame(faithful)
# }