stream_read_kafka {sparklyr} | R Documentation |
Reads a Kafka stream as a Spark dataframe stream.
stream_read_kafka(sc, name = NULL, options = list(), ...)
sc |
A |
name |
The name to assign to the newly generated stream. |
options |
A list of strings with additional options. |
... |
Optional arguments; currently unused. |
Please note that Kafka requires installing the appropriate
package by conneting with a config setting where sparklyr.shell.packages
is set to, for Spark 2.3.2, "org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.2"
.
Other Spark stream serialization: stream_read_csv
,
stream_read_json
,
stream_read_orc
,
stream_read_parquet
,
stream_read_scoket
,
stream_read_text
,
stream_write_console
,
stream_write_csv
,
stream_write_json
,
stream_write_kafka
,
stream_write_memory
,
stream_write_orc
,
stream_write_parquet
,
stream_write_text
## Not run: config <- spark_config() # The following package is dependent to Spark version, for Spark 2.3.2: config$sparklyr.shell.packages <- "org.apache.spark:spark-sql-kafka-0-10_2.11:2.3.2" sc <- spark_connect(master = "local", config = config) 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) ## End(Not run)