sparklyr: spark_write_table – R documentation

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sparklyr

spark_write_table

Writes a Spark DataFrame into a Spark table

Description

Writes a Spark DataFrame into a Spark table.

Usage

spark_write_table(
  x,
  name,
  mode = NULL,
  options = list(),
  partition_by = NULL,
  ...
)

Arguments

`x`	A Spark DataFrame or dplyr operation
`name`	The name to assign to the newly generated table.
`mode`	A `character` element. Specifies the behavior when data or table already exists. Supported values include: 'error', 'append', 'overwrite' and ignore. Notice that 'overwrite' will also change the column structure. For more details see also http://spark.apache.org/docs/latest/sql-programming-guide.html#save-modes for your version of Spark.
`options`	A list of strings with additional options.
`partition_by`	A `character` vector. Partitions the output by the given columns on the file system.
`...`	Optional arguments; currently unused.

Other Spark serialization routines: collect_from_rds(), spark_load_table(), spark_read_avro(), spark_read_csv(), spark_read_delta(), spark_read_jdbc(), spark_read_json(), spark_read_libsvm(), spark_read_orc(), spark_read_parquet(), spark_read_source(), spark_read_table(), spark_read_text(), spark_read(), spark_save_table(), spark_write_avro(), spark_write_csv(), spark_write_delta(), spark_write_jdbc(), spark_write_json(), spark_write_orc(), spark_write_parquet(), spark_write_source(), spark_write_text()

sparklyr

R Interface to Apache Spark

v1.6.2

Apache License 2.0 | file LICENSE

Authors

Javier Luraschi [aut], Kevin Kuo [aut] (<https://orcid.org/0000-0001-7803-7901>), Kevin Ushey [aut], JJ Allaire [aut], Samuel Macedo [ctb], Hossein Falaki [aut], Lu Wang [aut], Andy Zhang [aut], Yitao Li [aut, cre] (<https://orcid.org/0000-0002-1261-905X>), Jozef Hajnala [ctb], Maciej Szymkiewicz [ctb] (<https://orcid.org/0000-0003-1469-9396>), Wil Davis [ctb], RStudio [cph], The Apache Software Foundation [aut, cph]

Initial release

spark_write_table

Description

Usage

Arguments

See Also

sparklyr

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