需求:用户点击完立刻购买的信息
数据源kafka,这里比较重要的一点设置水位Watermarks

import com.alibaba.fastjson.JSON

import java.util.Properties
import org.apache.flink.api.common.serialization.SimpleStringSchema
import org.apache.flink.cep.pattern.conditions.SimpleCondition
import org.apache.flink.cep.scala.CEP
import org.apache.flink.cep.scala.pattern.Pattern
import org.apache.flink.streaming.api.TimeCharacteristic
import org.apache.flink.streaming.api.scala.{DataStream, StreamExecutionEnvironment}
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010
import org.apache.flink.api.scala._
import org.apache.flink.cep.PatternSelectFunction
import org.apache.flink.streaming.api.functions.timestamps.BoundedOutOfOrdernessTimestampExtractor
import org.apache.flink.streaming.api.windowing.time.Time

/**
* @author chunlong_liu
* @description
* @date 2021/12/20
*/
object Model01 {

def main(args: Array[String]): Unit = {
val env = StreamExecutionEnvironment.getExecutionEnvironment
env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
env.setParallelism(1)
val properties = new Properties()
properties.setProperty("bootstrap.servers", "xxxx:9092")
properties.setProperty("group.id", "test")
properties.setProperty("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
properties.setProperty("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")

val consumer = new FlinkKafkaConsumer010("topic", new SimpleStringSchema(), properties)
consumer.setStartFromLatest()
val sourceStream = env.addSource(consumer)

val input: DataStream[UserAction] = sourceStream.map(line=>{
val data = JSON.parseObject(line)
val distinct_id = data.getString("distinct_id")
val event = data.getString("event")
val time = data.getLong("time")
val project_id = data.getString("project_id")
UserAction(project_id, time, distinct_id, event)
})
.assignTimestampsAndWatermarks(new BoundedOutOfOrdernessTimestampExtractor[UserAction](Time.seconds(10)) {
override def extractTimestamp(t: UserAction): Long = t.timestamp
}).keyBy(k=>k.name)

val pattern = Pattern.begin[UserAction]("start").where(new SimpleCondition[UserAction] {
override def filter(t: UserAction): Boolean = {
t.action.equals("click")
}
}).next("end").where(new SimpleCondition[UserAction] {
override def filter(t: UserAction): Boolean = {
t.action.equals("buy")
}
}).within(Time.seconds(10))

val patternStream = CEP.pattern(input, pattern)

val result = patternStream.select(new PatternSelectFunction[UserAction, String] {
override def select(map: java.util.Map[String, java.util.List[UserAction]]): String = {
val start: UserAction = map.get("start").iterator().next()
val end: UserAction = map.get("end").iterator().next()
s"name: ${start.name}, project_id: ${end.project_id}, timestamp: ${end.timestamp}"
}
})

result.print()
env.execute("CEPTestJson")
}

case class UserAction(project_id: String, timestamp: Long, name: String, action: String)
}