| 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', 'errorifexists', '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, 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,
unpersist, withColumn,
withWatermark, with,
write.df, write.jdbc,
write.json, write.orc,
write.stream, 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)