write.orc {SparkR}R Documentation

Save the contents of SparkDataFrame as an ORC file, preserving the schema.

Description

Save the contents of a SparkDataFrame as an ORC file, preserving the schema. Files written out with this method can be read back in as a SparkDataFrame using read.orc().

Usage

write.orc(x, path, ...)

## S4 method for signature 'SparkDataFrame,character'
write.orc(x, path, mode = "error", ...)

Arguments

x

A SparkDataFrame

path

The directory where the file is saved

...

additional argument(s) passed to the method. You can find the ORC-specific options for writing ORC files in https://spark.apache.org/docs/latest/sql-data-sources-orc.html#data-source-option Data Source Option in the version you use.

mode

one of 'append', 'overwrite', 'error', 'errorifexists', 'ignore' save mode (it is 'error' by default)

Note

write.orc since 2.0.0

See Also

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(), exceptAll(), except(), explain(), filter(), first(), gapplyCollect(), gapply(), getNumPartitions(), group_by(), head(), hint(), histogram(), insertInto(), intersectAll(), intersect(), isLocal(), isStreaming(), join(), limit(), localCheckpoint(), merge(), mutate(), ncol(), nrow(), persist(), printSchema(), randomSplit(), rbind(), rename(), repartitionByRange(), repartition(), rollup(), sample(), saveAsTable(), schema(), selectExpr(), select(), showDF(), show(), storageLevel(), str(), subset(), summary(), take(), toJSON(), unionAll(), unionByName(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.parquet(), write.stream(), write.text()

Examples



## Not run: 
##D sparkR.session()
##D path <- "path/to/file.json"
##D df <- read.json(path)
##D write.orc(df, "/tmp/sparkr-tmp1/")
## End(Not run)




[Package SparkR version 3.2.4 Index]