persist {SparkR}R Documentation

Persist

Description

Persist this SparkDataFrame with the specified storage level. For details of the supported storage levels, refer to http://spark.apache.org/docs/latest/rdd-programming-guide.html#rdd-persistence.

Usage

persist(x, newLevel)

## S4 method for signature 'SparkDataFrame,character'
persist(x, newLevel)

Arguments

x

the SparkDataFrame to persist.

newLevel

storage level chosen for the persistence. See available options in the description.

Note

persist since 1.4.0

See Also

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, printSchema, randomSplit, rbind, 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

Examples

## Not run: 
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D persist(df, "MEMORY_AND_DISK")
## End(Not run)

[Package SparkR version 2.4.4 Index]