SparkR (version 2.3.0)

unpersist: Unpersist

Description

Mark this SparkDataFrame as non-persistent, and remove all blocks for it from memory and disk.

Usage

unpersist(x, ...)
# S4 method for SparkDataFrame
unpersist(x, blocking = TRUE)

Arguments

x

the SparkDataFrame to unpersist.

...

further arguments to be passed to or from other methods.

blocking

whether to block until all blocks are deleted.

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, 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, withColumn, withWatermark, with, write.df, write.jdbc, write.json, write.orc, write.parquet, write.stream, write.text

Examples

# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
persist(df, "MEMORY_AND_DISK")
unpersist(df)
# }