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().
## S4 method for signature 'SparkDataFrame,character' write.parquet(x, path) ## S4 method for signature 'SparkDataFrame,character' saveAsParquetFile(x, path) write.parquet(x, path) saveAsParquetFile(x, path)
x |
A SparkDataFrame |
path |
The directory where the file is saved |
Other SparkDataFrame functions: $
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$<-
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select,SparkDataFrame,Column-method
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select,SparkDataFrame,list-method
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count,GroupedData-method
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summarize
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attach
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attach,SparkDataFrame-method
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cache
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colnames
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colnames<-
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columns
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schema
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count
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dapply
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dapplyCollect
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describe
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describe
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summary
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summary,GeneralizedLinearRegressionModel-method
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summary,KMeansModel-method
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unique
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dropna
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except
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explain
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filter
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where
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first
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persist
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registerTempTable
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rename
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repartition
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sample
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saveAsTable
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write.df
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selectExpr
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showDF
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show,GroupedData-method
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show,WindowSpec-method
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take
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withColumn
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write.jdbc
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write.json
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write.text
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## Not run: sc <- sparkR.init() sqlContext <- sparkRSQL.init(sc) path <- "path/to/file.json" df <- read.json(sqlContext, path) write.parquet(df, "/tmp/sparkr-tmp1/") saveAsParquetFile(df, "/tmp/sparkr-tmp2/") ## End(Not run)