Write Kafka Stream

Writes a Spark dataframe stream into an kafka stream.

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.

Details

Please note that Kafka requires installing the appropriate package by conneting with a config setting where sparklyr.shell.packages is set to, for Spark 2.3.2, "org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.2".

See also

Examples

if (FALSE) { config <- spark_config() # The following package is dependent to Spark version, for Spark 2.3.2: config$sparklyr.shell.packages <- "org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.2" sc <- spark_connect(master = "local", config = config) read_options <- list(kafka.bootstrap.servers = "localhost:9092", subscribe = "topic1") write_options <- list(kafka.bootstrap.servers = "localhost:9092", topic = "topic2") stream <- stream_read_kafka(sc, options = read_options) %>% stream_write_kafka(options = write_options) stream_stop(stream) }