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) Read Kafka Stream
R/stream_data.R
stream_read_kafka
Description
Reads a Kafka stream as a Spark dataframe stream.
Usage
stream_read_kafka(sc, name = NULL, options = list(), ...) Arguments
| Arguments | Description |
|---|---|
| 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()
Examples
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()