Apache Kafka - KStream 与 KStream Join 最新消息

Apache Kafka - KStream with KStream Join latest messages

我已经创建了 KStreams,我想将它们连接在一起。两个流的输出如下:

流 1:

2    {"CODE":"AAAA96","STATUS":"SUBMITTED","ID":2}

流 2:

26   {"DESCRIPTION":"blah blah blah","QUANTITY":1,"ID_CUSTOMER_ORDER":"GR0100926","ID":26}

我想创建这两个流的连接流(内部连接),所以我创建了以下 KStream:

KStream<String, String> s_joined = s_order
        .join(s_order_item, (left,right) -> left + right,
                JoinWindows.of(Duration.ofSeconds(30)))
        .mapValues(value -> {
            String[] arrOfstr = value.split("(?<=})");
            JSONObject jl = new JSONObject(arrOfstr[0]);
            JSONObject jr = new JSONObject(arrOfstr[1]);
            JSONObject json = new JSONObject();
            Iterator<String> keys = jl.keys();
            while(keys.hasNext()) {
                String key = keys.next();
                json.put(key, jl.get(key));
            }
            keys = jr.keys();
            while(keys.hasNext()) {
                String key = keys.next();
                json.put(key, jr.get(key));
            }
            return json.toString();
        });

在这个 KStream 中,我只是使用了一个连接,我正在改变输出消息的格式,仅此而已。

通过一个例子我会解释我想做什么:

以下消息在window内发布:

流 1

9 {"CODE":"AAAA98","STATUS":"CANCELED","ID":"9"}

流 2

9 {"DESCRIPTION":"blah blah blah","QUANTITY":3,"ID_CUSTOMER_ORDER":"GR0100121","ID":"9"}
9 {"DESCRIPTION":"blah blah blah","QUANTITY":0,"ID_CUSTOMER_ORDER":"GR0100480","ID":"9"}
9 {"DESCRIPTION":"blah blah blah","QUANTITY":1,"ID_CUSTOMER_ORDER":"GR0100606","ID":"9"}
9 {"DESCRIPTION":"blah blah blah","QUANTITY":7,"ID_CUSTOMER_ORDER":"GR0100339","ID":"9"}
9 {"DESCRIPTION":"blah blah blah","QUANTITY":6,"ID_CUSTOMER_ORDER":"GR0100911","ID":"9"}

加入流

发布的内容

9 {"CODE":"AAAA98","STATUS":"CANCELED","DESCRIPTION":"blah blah blah","QUANTITY":3,"ID_CUSTOMER_ORDER":"GR0100121","ID":"9"}
9 {"CODE":"AAAA98","STATUS":"CANCELED","DESCRIPTION":"blah blah blah","QUANTITY":0,"ID_CUSTOMER_ORDER":"GR0100480","ID":"9"}
9 {"CODE":"AAAA98","STATUS":"CANCELED","DESCRIPTION":"blah blah blah","QUANTITY":1,"ID_CUSTOMER_ORDER":"GR0100606","ID":"9"}
9 {"CODE":"AAAA98","STATUS":"CANCELED","DESCRIPTION":"blah blah blah","QUANTITY":7,"ID_CUSTOMER_ORDER":"GR0100339","ID":"9"}
9 {"CODE":"AAAA98","STATUS":"CANCELED","DESCRIPTION":"blah blah blah","QUANTITY":6,"ID_CUSTOMER_ORDER":"GR0100911","ID":"9"}

我要发布的内容

9 {"CODE":"AAAA98","STATUS":"CANCELED","DESCRIPTION":"blah blah blah","QUANTITY":6,"ID_CUSTOMER_ORDER":"GR0100911","ID":"9"}

总而言之,我只想发布 window 中的最新消息,而不是全部。这可能吗?

您可以使用 groupByKey 函数,其中 returns KGroupedStream 然后使用 map/reduce 函数以所需的方式转换它。请参阅 Kafka Streams DSL 了解更多信息。

我找到了答案。实现我想要做的事情的方法是使用函数 suppress。更详细地说,您 groupByKey() KStream 然后使用 Window 函数。最后,聚合分组数据并使用 suppress.

s_joined.toStream()
        .groupByKey()
        .WindowedBy(...)
        .aggregate(...)
        .suppress(Suppressed.untilWindowCloses(Suppressed.BufferConfig.unbounded()));