spark_save_table

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Saves a Spark DataFrame as a Spark table

Saves a Spark DataFrame and as a Spark table.

Usage
spark_save_table(x, path, mode = NULL, options = list())
Arguments
x

A Spark DataFrame or dplyr operation

path

The path to the file. Needs to be accessible from the cluster. Supports the "hdfs://", "s3a://" and "file://" protocols.

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.

See Also

Other Spark serialization routines: 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_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_table(), spark_write_text()

Aliases
  • spark_save_table
Documentation reproduced from package sparklyr, version 1.4.0, License: Apache License 2.0 | file LICENSE

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