sparklyr (version 1.3.0)

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 {
# }

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