| unpersist {SparkR} | R Documentation |
Mark this SparkDataFrame as non-persistent, and remove all blocks for it from memory and disk.
## S4 method for signature 'SparkDataFrame' unpersist(x, blocking = TRUE)
x |
The SparkDataFrame to unpersist |
blocking |
Whether to block until all blocks are deleted |
Other SparkDataFrame functions: SparkDataFrame-class,
[[, agg,
arrange, as.data.frame,
attach, cache,
collect, colnames,
coltypes, columns,
count, dapply,
describe, dim,
distinct, dropDuplicates,
dropna, drop,
dtypes, except,
explain, filter,
first, group_by,
head, histogram,
insertInto, intersect,
isLocal, join,
limit, merge,
mutate, ncol,
persist, printSchema,
registerTempTable, rename,
repartition, sample,
saveAsTable, selectExpr,
select, showDF,
show, str,
take, unionAll,
withColumn, write.df,
write.jdbc, write.json,
write.parquet, write.text
## Not run:
##D sc <- sparkR.init()
##D sqlContext <- sparkRSQL.init(sc)
##D path <- "path/to/file.json"
##D df <- read.json(sqlContext, path)
##D persist(df, "MEMORY_AND_DISK")
##D unpersist(df)
## End(Not run)