stream_write_table: Write Stream to Table

In sparklyr: R Interface to Apache Spark

Write Stream to Table

Description

Writes a Spark dataframe stream into a table.

Usage

stream_write_table(
  x,
  path,
  format = NULL,
  mode = c("append", "complete", "update"),
  checkpoint = file.path("checkpoints", random_string("")),
  options = list(),
  partition_by = NULL,
  ...
)

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.
format	Specifies format of data written to table E.g. "delta", "parquet". Defaults to NULL which will use system default format.
mode	Specifies how data is written to a streaming sink. Valid values are "append", "complete" or "update".
checkpoint	The location where the system will write all the checkpoint information to guarantee end-to-end fault-tolerance.
options	A list of strings with additional options.
partition_by	Partitions the output by the given list of columns.
...	Optional arguments; currently unused.

See Also

Other Spark stream serialization: stream_write_csv(), stream_write_memory()

sparklyr documentation built on May 29, 2024, 2:58 a.m.