How To parse Json in Flink Kafka + Scala - scala

Question

Hi I am new developer to Apache Flink. I am trying to build a Data-streaming Application in Apache Flink integrated with Kafka.
I already an Have a Topic named source-json created in Kafka containing a json which i am required to parse using Apache Flink(Scala).
I have already written the code to extract the Json in Apacheflink facing issue in parsing the json in apache Flink using the deseralizer for spark i apparently i could not find much support for apache flink spark in docs.
json file i am Trying to parse
{
"timestamp": "2020-01-09",
"integrations": {},
"context": {
"page": {
"path": "/",
"title": "shop",
"url": "www.example.com"
},
"library": {
"version": "3.10.1"
}
},
"properties": {
"url": "https://www.example.com/",
"page_type": "Home",
},
"Time": "2020-01-09",
"_sorting": {
"SortAs": ["SGML"],
"Acronym": ["SGML"]
}
}
I was able to write the code for print the json from kafka using flink.
def main(args: Array[String]): Unit = {
val env = StreamExecutionEnvironment.getExecutionEnvironment
val source = KafkaSource.builder[String].
setBootstrapServers("localhost:9092")
.setTopics("source-json")
.setGroupId("my-group")
.setStartingOffsets(OffsetsInitializer.earliest)
.setValueOnlyDeserializer(new SimpleStringSchema())
.build
val streamEnv : DataStream[String] = env.fromSource(source, WatermarkStrategy.forBoundedOutOfOrderness(Duration.ofSeconds(20)), "Kafka Source")
streamEnv.print()
env.execute("running stream")
}
Need help in parsing the json storing the filtered json in a different topic in kafka named sink-json in apache flink.