sparklyr (version 1.9.3)

stream_write_memory: Write Memory Stream

Description

Writes a Spark dataframe stream into a memory stream.

Usage

stream_write_memory(
  x,
  name = random_string("sparklyr_tmp_"),
  mode = c("append", "complete", "update"),
  trigger = stream_trigger_interval(),
  checkpoint = file.path("checkpoints", name, random_string("")),
  options = list(),
  partition_by = NULL,
  ...
)

Arguments

x

A Spark DataFrame or dplyr operation

name

The name to assign to the newly generated stream.

mode

Specifies how data is written to a streaming sink. Valid values are "append", "complete" or "update".

trigger

The trigger for the stream query, defaults to micro-batches running every 5 seconds. See stream_trigger_interval and stream_trigger_continuous.

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_table()