pyspark.sql.DataFrameWriter

class pyspark.sql.DataFrameWriter(df: DataFrame)

Interface used to write a DataFrame to external storage systems (e.g. file systems, key-value stores, etc). Use DataFrame.write to access this.

New in version 1.4.

Methods

bucketBy(numBuckets, col, *cols)	Buckets the output by the given columns.
csv(path[, mode, compression, sep, quote, …])	Saves the content of the DataFrame in CSV format at the specified path.
format(source)	Specifies the underlying output data source.
insertInto(tableName[, overwrite])	Inserts the content of the DataFrame to the specified table.
jdbc(url, table[, mode, properties])	Saves the content of the DataFrame to an external database table via JDBC.
json(path[, mode, compression, dateFormat, …])	Saves the content of the DataFrame in JSON format (JSON Lines text format or newline-delimited JSON) at the specified path.
mode(saveMode)	Specifies the behavior when data or table already exists.
option(key, value)	Adds an output option for the underlying data source.
options(**options)	Adds output options for the underlying data source.
orc(path[, mode, partitionBy, compression])	Saves the content of the DataFrame in ORC format at the specified path.
parquet(path[, mode, partitionBy, compression])	Saves the content of the DataFrame in Parquet format at the specified path.
partitionBy(*cols)	Partitions the output by the given columns on the file system.
save([path, format, mode, partitionBy])	Saves the contents of the DataFrame to a data source.
saveAsTable(name[, format, mode, partitionBy])	Saves the content of the DataFrame as the specified table.
sortBy(col, *cols)	Sorts the output in each bucket by the given columns on the file system.
text(path[, compression, lineSep])	Saves the content of the DataFrame in a text file at the specified path.

pyspark.sql.DataFrameReader Spark Session