stream_write_kafka

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Write Kafka Stream

Writes a Spark dataframe stream into an kafka stream.

Usage
stream_write_kafka(x, mode = c("append", "complete", "update"),
  trigger = stream_trigger_interval(),
  checkpoint = file.path("checkpoints", random_string("")),
  options = list(), ...)
Arguments
x

A Spark DataFrame or dplyr operation

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 runnnig 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.

...

Optional arguments; currently unused.

See Also

Other Spark stream serialization: stream_read_csv, stream_read_jdbc, stream_read_json, stream_read_kafka, stream_read_orc, stream_read_parquet, stream_read_text, stream_write_csv, stream_write_jdbc, stream_write_json, stream_write_memory, stream_write_orc, stream_write_parquet, stream_write_text

Aliases
  • stream_write_kafka
Examples
# NOT RUN {
sc <- spark_connect(master = "local")

sdf_len(sc, 10) %>% spark_write_orc("orc-in")

stream <- stream_read_parquet(sc, "orc-in") %>% stream_write_parquet("orc-out")

stop_stream(stream)

# }
# NOT RUN {
# }
Documentation reproduced from package sparklyr, version 0.9.1, License: Apache License 2.0 | file LICENSE

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