flink中interval join的flinkSQL实现以及状态的TTL过期时间

flink1.12中的interval join限定于 inner join, 而flinkSQL中可以实现多种形式的连接：inner join 、left join 、right join、full join

package com.atguigu.app;

import com.atguigu.bean.Bean1;
import com.atguigu.bean.Bean2;
import org.apache.flink.api.java.tuple.Tuple2;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.api.functions.co.ProcessJoinFunction;
import org.apache.flink.streaming.api.windowing.time.Time;
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.util.Collector;

import java.time.Duration;

public class FlinkSQLJoinTest {

    public static void main(String[] args) throws Exception {

        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        env.setParallelism(1);

        StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);

        tableEnv.getConfig().setIdleStateRetention(Duration.ofSeconds(10));

        SingleOutputStreamOperator<Bean1> bean1DS = env.socketTextStream("hadoop102", 8888)
                .map(line -> {
                    String[] split = line.split(",");
                    return new Bean1(split[0], split[1], Long.parseLong(split[2]));
                });

        SingleOutputStreamOperator<Bean2> bean2DS = env.socketTextStream("hadoop102", 9999)
                .map(line -> {
                    String[] split = line.split(",");
                    return new Bean2(split[0], split[1], Long.parseLong(split[2]));
                });

        SingleOutputStreamOperator<Tuple2<Bean1, Bean2>> result = bean1DS.keyBy(Bean1::getId)
                .intervalJoin(bean2DS.keyBy(Bean2::getId))
                .between(Time.seconds(-5), Time.seconds(5))
                .process(new ProcessJoinFunction<Bean1, Bean2, Tuple2<Bean1, Bean2>>() {
                    @Override
                    public void processElement(Bean1 left, Bean2 right, Context ctx, Collector<Tuple2<Bean1, Bean2>> out) throws Exception {
                        out.collect(new Tuple2<>(left, right));
                    }
                });

        // 将流转换为动态表
        tableEnv.createTemporaryView("t1", bean1DS);
        tableEnv.createTemporaryView("t2", bean2DS);

        // 内连接 OnCreateAndWrite 右：OnCreateAndWrite
        // tableEnv.executeSql("select t1.id,t1.name,t2.sex from t1 join t2 on t1.id = t2.id").print();

        // 左外 左：OnReadAndWrite 右：OnCreateAndWrite
        tableEnv.executeSql("select t1.id,t1.name,t2.sex from t1 left join t2 on t1.id = t2.id").print();

        // 右外 左：OnCreateAndWrite 右：OnReadAndWrite
        // tableEnv.executeSql("select t1.id,t1.name,t2.sex from t1 right join t2 on t1.id = t2.id").print();

        // 全外连接 左：OnReadAndWrite 右：OnReadAndWrite
        // tableEnv.executeSql("select t1.id,t1.name,t2.sex from t1 right join t2 on t1.id = t2.id").print();


    }
}

比如上述的t1表与t2表，以 t1 left t2 on t1.id = t2.id
前提条件：状态设置了过期时间

tableEnv.getConfig().setIdleStateRetention(Duration.ofSeconds(10));

case1：
t1先来一条数据，1001,zhangsan,1
t2后来一条数据：1001,male,1
与 t1进行关联, 如果t2表一直来数据，每条数据中间的时间间隔不超过10s, 则会一直输出。
case2:
t2先来一条数据：1001,male,1
t1后来一条数据，1001,zhangsan,1
如果在 t1表示中数据一直输入，过了10s之后，t2中的数据就会为空。也就是只保存10s.

上述情况涉及到 state的TTL 过期时间

ValueStateDescriptor<String> valueStateDescriptor = new ValueStateDescriptor<>("dt-state", String.class);
StateTtlConfig stateTtlConfig = new StateTtlConfig.Builder(Time.days(1))
        .setUpdateType(StateTtlConfig.UpdateType.OnCreateAndWrite)
        .build();
valueStateDescriptor.enableTimeToLive(stateTtlConfig);
dtState = getRuntimeContext().getState(valueStateDescriptor);

sdf = new SimpleDateFormat("yyyy-MM-dd");

TTL表示自动更新状态的过期时间

/**
	 * This option value configures when to update last access timestamp which prolongs state TTL.
 */
public enum UpdateType {
	/** TTL is disabled. State does not expire. */
	Disabled,
	/** Last access timestamp is initialised when state is created and updated on every write operation. */
	OnCreateAndWrite,
	/** The same as OnCreateAndWrite but also updated on read. */
	OnReadAndWrite
}