I want to change the Kafka topic destination to save the data depending on the value of the data in SparkStreaming. Is it possible to do so again? When I tried the following code, it only executes the first one, but does not execute the lower process.
(testdf
.filter(f.col("value") == "A")
.selectExpr("CAST(value as STRING) as value")
.writeStream
.format("kafka")
.option("checkpointLocation", "/checkpoint_1")
.option("kafka.bootstrap.servers","~~:9092")
.option("topic", "test")
.option("startingOffsets", "latest")
.start()
)
(testdf
.filter(f.col("value") == "B")
.selectExpr("CAST(value as STRING) as value")
.writeStream
.format("kafka")
.option("checkpointLocation", "/checkpoint_2")
.option("kafka.bootstrap.servers","~~:9092")
.option("topic", "testB")
.option("startingOffsets", "latest")
.start()
)
Data is stored in the topic name test. Can anyone think of a way to do this?
I changed the destination to save such a data frame.
|type|value|
| A |testvalue|
| B |testvalue|
type A to topic test. type B to topic testB.