| write.parquet {SparkR} | R Documentation |
Save the contents of a SparkDataFrame as a Parquet file, preserving the schema. Files written out with this method can be read back in as a SparkDataFrame using read.parquet().
write.parquet(x, path, ...) saveAsParquetFile(x, path) ## S4 method for signature 'SparkDataFrame,character' write.parquet(x, path, mode = "error", ...) ## S4 method for signature 'SparkDataFrame,character' saveAsParquetFile(x, path)
x |
A SparkDataFrame |
path |
The directory where the file is saved |
... |
additional argument(s) passed to the method. |
mode |
one of 'append', 'overwrite', 'error', 'ignore' save mode (it is 'error' by default) |
write.parquet since 1.6.0
saveAsParquetFile since 1.4.0
Other SparkDataFrame functions: SparkDataFrame-class,
agg, arrange,
as.data.frame, attach,
cache, 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, histogram,
insertInto, intersect,
isLocal, join,
limit, merge,
mutate, ncol,
nrow, persist,
printSchema, randomSplit,
rbind, registerTempTable,
rename, repartition,
sample, saveAsTable,
schema, selectExpr,
select, showDF,
show, storageLevel,
str, subset,
take, union,
unpersist, withColumn,
with, write.df,
write.jdbc, write.json,
write.orc, write.text
## Not run:
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D write.parquet(df, "/tmp/sparkr-tmp1/")
##D saveAsParquetFile(df, "/tmp/sparkr-tmp2/")
## End(Not run)