I am new to Flink and doing something very similar to the below link.
Cannot see message while sinking kafka stream and cannot see print message in flink 1.2
To solve the problem of reading non-key JSON messages from Kafka I used case class and JSON parser.
The following code makes a case class and parses the JSON field using play API.
import play.api.libs.json.JsValue
object CustomerModel {
def readElement(jsonElement: JsValue): Customer = {
val id = (jsonElement \ "id").get.toString().toInt
val name = (jsonElement \ "name").get.toString()
Customer(id,name)
}
case class Customer(id: Int, name: String)
}
def main(args: Array[String]): Unit = {
val env = StreamExecutionEnvironment.getExecutionEnvironment
val properties = new Properties()
properties.setProperty("bootstrap.servers", "xxx.xxx.0.114:9092")
properties.setProperty("group.id", "test-grp")
val consumer = new FlinkKafkaConsumer[String]("customer", new SimpleStringSchema(), properties)
val stream1 = env.addSource(consumer).rebalance
val stream2:DataStream[Customer]= stream1.map( str =>{Try(CustomerModel.readElement(Json.parse(str))).getOrElse(Customer(0,Try(CustomerModel.readElement(Json.parse(str))).toString))
})
stream2.print("stream2")
env.execute("This is Kafka+Flink")
}
The Try method lets you overcome the exception thrown while parsing the data and returns the exception in one of the fields (if we want) or else it can just return the case class object with any given or default fields.
The sample output of the Code is:
stream2:1> Customer(1,"Thanh")
stream2:1> Customer(5,"Huy")
stream2:3> Customer(0,Failure(com.fasterxml.jackson.databind.JsonMappingException: No content to map due to end-of-input
at [Source: ; line: 1, column: 0]))
I am not sure if it is the best approach but it is working for me as of now.