Write Memory Stream
stream_write_memory
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
Arguments | Description |
---|---|
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()