| 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/programming-guide.html#rdd-persistence.
## S4 method for signature 'SparkDataFrame,character' persist(x, newLevel)
x |
The SparkDataFrame to persist |
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,
printSchema,
registerTempTable, rename,
repartition, sample,
saveAsTable, selectExpr,
select, showDF,
show, str,
take, unionAll,
unpersist, 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")
## End(Not run)