persist {SparkR} | R Documentation |
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.
persist(x, newLevel) ## S4 method for signature 'SparkDataFrame,character' persist(x, newLevel)
x |
the SparkDataFrame to persist. |
newLevel |
storage level chosen for the persistance. See available options in the description. |
persist since 1.4.0
Other SparkDataFrame functions: SparkDataFrame-class
,
agg
, arrange
,
as.data.frame
,
attach,SparkDataFrame-method
,
cache
, checkpoint
,
coalesce
, collect
,
colnames
, coltypes
,
createOrReplaceTempView
,
crossJoin
, 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
, merge
,
mutate
, ncol
,
nrow
, printSchema
,
randomSplit
, rbind
,
registerTempTable
, rename
,
repartition
, sample
,
saveAsTable
, schema
,
selectExpr
, select
,
showDF
, show
,
storageLevel
, str
,
subset
, take
,
toJSON
, union
,
unpersist
, withColumn
,
with
, write.df
,
write.jdbc
, write.json
,
write.orc
, write.parquet
,
write.stream
, write.text
## 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)