stream_write_kafka

Write Kafka Stream

Description

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(),
  partition_by = NULL,
  ...
)

Arguments

Argument	Description
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. partition_by | Partitions the output by the given list of columns. … | Optional arguments; currently unused.

Details

Please note that Kafka requires installing the appropriate package by setting the packages parameter to "kafka" in spark_connect()

Examples



library(sparklyr)
sc <- spark_connect(master = "local", version = "2.3", packages = "kafka")

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)