sparklyr (version 1.1.0)

stream_read_kafka: Read Kafka Stream

Description

Reads a Kafka stream as a Spark dataframe stream.

Usage

stream_read_kafka(sc, name = NULL, options = list(), ...)

Arguments

sc

A spark_connection.

name

The name to assign to the newly generated stream.

options

A list of strings with additional options.

...

Optional arguments; currently unused.

Details

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

See Also

Other Spark stream serialization: stream_read_csv, stream_read_delta, stream_read_json, stream_read_orc, stream_read_parquet, stream_read_socket, stream_read_text, stream_write_console, stream_write_csv, stream_write_delta, stream_write_json, stream_write_kafka, stream_write_memory, stream_write_orc, stream_write_parquet, stream_write_text

Examples

# NOT RUN {
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)

# }
# NOT RUN {
# }