如何连接两个 Kafka 流并在具有 Avro 值的主题中生成结果

How to join two Kafka streams and produce the result in a topic with Avro values

我有两个 Kafka 流,它们的键为 String,值为 Avro 格式,这是我使用 KSQL 创建的。

这是第一个:

DESCRIBE EXTENDED STREAM_1; 
Type                 : STREAM
Key field            : IDUSER
Timestamp field      : Not set - using <ROWTIME>
Key format           : STRING
Value format         : AVRO
Kafka output topic   : STREAM_1 (partitions: 4, replication: 1)

 Field                      | Type
--------------------------------------------------------
 ROWTIME                    | BIGINT           (system)
 ROWKEY                     | VARCHAR(STRING)  (system)
 FIRSTNAME                  | VARCHAR(STRING)
 LASTNAME                   | VARCHAR(STRING)
 IDUSER                     | VARCHAR(STRING)

第二个:

DESCRIBE EXTENDED STREAM_2;
Type                 : STREAM
Key field            : IDUSER
Timestamp field      : Not set - using <ROWTIME>
Key format           : STRING
Value format         : AVRO
Kafka output topic   : STREAM_2 (partitions: 4, replication: 1)

 Field                      | Type
--------------------------------------------------------
 ROWTIME                    | BIGINT           (system)
 ROWKEY                     | VARCHAR(STRING)  (system)
 USERNAME                   | VARCHAR(STRING)
 IDUSER                     | VARCHAR(STRING)
 DEVICE                     | VARCHAR(STRING)

所需的输出应包括 IDUSERLASTNAMEDEVICEUSERNAME

我想 left join 使用 Streams API 这些流(在 IDUSER 上)并将输出写入 kafka 主题。

为此,我尝试了以下方法:

public static void main(String[] args) {

    final Properties streamsConfiguration = new Properties();

    streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "kafka-strteams");
    streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
    streamsConfiguration.put(StreamsConfig.ZOOKEEPER_CONNECT_CONFIG, "localhost:2181");
    streamsConfiguration.put(AbstractKafkaAvroSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, "http://localhost:8081");

    streamsConfiguration.put(StreamsConfig.KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
    streamsConfiguration.put(StreamsConfig.VALUE_SERDE_CLASS_CONFIG, GenericAvroSerde.class);
    streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");

    final Serde<String> stringSerde = Serdes.String();
    final Serde<GenericRecord> genericAvroSerde = new GenericAvroSerde();


    boolean isKeySerde = false;
    genericAvroSerde.configure(Collections.singletonMap(AbstractKafkaAvroSerDeConfig.SCHEMA_REGISTRY_URL_CONFIG, "http://localhost:8081"), isKeySerde);

    KStreamBuilder builder = new KStreamBuilder();

    KStream<String, GenericRecord> left = builder.stream("STREAM_1");
    KStream<String, GenericRecord> right = builder.stram("STREAM_2");

    // Java 8+ example, using lambda expressions
    KStream<String, GenericRecord> joined = left.leftJoin(right,
        (leftValue, rightValue) -> "left=" + leftValue + ", right=" + rightValue, /* ValueJoiner */
        JoinWindows.of(TimeUnit.MINUTES.toMillis(5)),
        Joined.with(
          stringSerde, /* key */
          genericAvroSerde,   /* left value */
          genericAvroSerde)  /* right value */
      );
    joined.to(stringSerde, genericAvroSerde, "streams-output-testing");

    KafkaStreams streams = new KafkaStreams(builder, streamsConfiguration);
    streams.cleanUp();
    streams.start();

    Runtime.getRuntime().addShutdownHook(new Thread(streams::close));
}

然而,

KStream<String, GenericRecord> joined = ...

在我的 IDE 上抛出错误:

incompatible types: inference variable VR has incompatible bounds

当我尝试对键和值都使用 String Serde 时,它可以工作,但数据无法从 kafka-console-consumer 读取。我想要做的是生成 AVRO 格式的数据,以便能够使用 kafka-avro-console-consumer 读取它们。

我的第一个猜测是您从连接操作返回 String,而您的代码期望结果为 GenericRecord

KStream<String, GenericRecord> joined = left.leftJoin(right,
    (leftValue, rightValue) -> "left=" + leftValue + ", right=" + rightValue, ...)

请注意 joined 如何具有类型 KStream<String, GenericRecord>,即值具有类型 GenericRecord,但连接输出是通过 "left=" + leftValue + ", right=" + rightValue 计算的,其类型为 [=11] =].

您可以直接 return 值而不是将值转换为字符串。 例如:

KStream joined = left.leftJoin(right,
(leftValue, rightValue) -> { return rightValue});