library(sparklyr)
<- spark_connect(master = "local", version = "2.3", packages = "kafka")
sc <- list(kafka.bootstrap.servers = "localhost:9092", subscribe = "topic1")
read_options <- list(kafka.bootstrap.servers = "localhost:9092", topic = "topic2")
write_options <- stream_read_kafka(sc, options = read_options) %>%
stream stream_write_kafka(options = write_options)
stream_stop(stream)
Write Kafka Stream
R/stream_data.R
stream_write_kafka
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
Arguments | 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
See Also
Other Spark stream serialization: stream_read_csv()
, stream_read_delta()
, stream_read_json()
, stream_read_kafka()
, 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_memory()
, stream_write_orc()
, stream_write_parquet()
, stream_write_text()