write.orc

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

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 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.

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(), unionByName(), union(), unpersist(), withColumn(), withWatermark(), with(), write.df(), write.jdbc(), write.json(), write.parquet(), write.stream(), write.text()

Aliases
  • write.orc
  • write.orc,SparkDataFrame,character-method
Examples
# NOT RUN {
sparkR.session()
path <- "path/to/file.json"
df <- read.json(path)
write.orc(df, "/tmp/sparkr-tmp1/")
# }
Documentation reproduced from package SparkR, version 2.4.6, License: Apache License (== 2.0)

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