我已经写了一个简单的示例来测试联接功能。当我有时在结果主题中重复出现消息，有时在该主题中丢失消息时，我想出了一点，那就是在精确定位问题时启用一次语义。但是，通过以下方式进行操作：
props.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, StreamsConfig.EXACTLY_ONCE);
我超时，导致kafka流在我的应用中关闭：
2019-05-02 17:02:32.585 INFO 153056 --- [-StreamThread-1] o.a.kafka.common.utils.AppInfoParser : Kafka version : 2.0.1
2019-05-02 17:02:32.585 INFO 153056 --- [-StreamThread-1] o.a.kafka.common.utils.AppInfoParser : Kafka commitId : fa14705e51bd2ce5
2019-05-02 17:02:32.593 INFO 153056 --- [-StreamThread-1] o.a.k.c.p.internals.TransactionManager : [Producer clientId=join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72-StreamThread-1-0_0-producer, transactionalId=join-test-0_0] ProducerId set to -1 with epoch -1
2019-05-02 17:03:32.599 ERROR 153056 --- [-StreamThread-1] o.a.k.s.p.internals.StreamThread : stream-thread [join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72-StreamThread-1] Error caught during partition assignment, will abort the current process and re-throw at the end of rebalance: {}
org.apache.kafka.common.errors.TimeoutException: Timeout expired while initializing transactional state in 60000ms.
2019-05-02 17:03:32.599 INFO 153056 --- [-StreamThread-1] o.a.k.s.p.internals.StreamThread : stream-thread [join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72-StreamThread-1] partition assignment took 60044 ms.
current active tasks: []
current standby tasks: []
previous active tasks: []
2019-05-02 17:03:32.601 INFO 153056 --- [-StreamThread-1] o.a.k.s.p.internals.StreamThread : stream-thread [join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72-StreamThread-1] State transition from PARTITIONS_ASSIGNED to PENDING_SHUTDOWN
2019-05-02 17:03:32.601 INFO 153056 --- [-StreamThread-1] o.a.k.s.p.internals.StreamThread : stream-thread [join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72-StreamThread-1] Shutting down
2019-05-02 17:03:32.615 INFO 153056 --- [-StreamThread-1] o.a.k.s.p.internals.StreamThread : stream-thread [join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72-StreamThread-1] State transition from PENDING_SHUTDOWN to DEAD
2019-05-02 17:03:32.615 INFO 153056 --- [-StreamThread-1] org.apache.kafka.streams.KafkaStreams : stream-client [join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72] State transition from REBALANCING to ERROR
2019-05-02 17:03:32.615 WARN 153056 --- [-StreamThread-1] org.apache.kafka.streams.KafkaStreams : stream-client [join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72] All stream threads have died. The instance will be in error state and should be closed.
2019-05-02 17:03:32.615 INFO 153056 --- [-StreamThread-1] o.a.k.s.p.internals.StreamThread : stream-thread [join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72-StreamThread-1] Shutdown complete
Exception in thread "join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72-StreamThread-1" org.apache.kafka.streams.errors.StreamsException: stream-thread [join-test-90a0aa93-dfd8-4d4f-894b-85a3c5634f72-StreamThread-1] Failed to rebalance.
at org.apache.kafka.streams.processor.internals.StreamThread.pollRequests(StreamThread.java:870)
at org.apache.kafka.streams.processor.internals.StreamThread.runOnce(StreamThread.java:810)
at org.apache.kafka.streams.processor.internals.StreamThread.runLoop(StreamThread.java:767)
at org.apache.kafka.streams.processor.internals.StreamThread.run(StreamThread.java:736)
Caused by: org.apache.kafka.common.errors.TimeoutException: Timeout expired while initializing transactional state in 60000ms.
static String ORIGINAL = "original-sensor-data";
static String ERROR = "error-score";
public static void main(String[] args) throws IOException {
SpringApplication.run(JoinTest.class, args);
Properties props = getProperties();
final StreamsBuilder builder = new StreamsBuilder();
final KStream<String, OriginalSensorData> original = builder.stream(ORIGINAL, Consumed.with(Serdes.String(), new OriginalSensorDataSerde()));
final KStream<String, ErrorScore> error = builder.stream(ERROR, Consumed.with(Serdes.String(), new ErrorScoreSerde()));
KStream<String, ErrorScore> result = original.join(
error,
(originalValue, errorValue) -> new ErrorScore(new Date(originalValue.getTimestamp()), errorValue.getE(),
originalValue.getData().get("TE700PV").doubleValue(), errorValue.getT(), errorValue.getR()),
// KStream-KStream joins are always windowed joins, hence we must provide a join window.
JoinWindows.of(Duration.ofMillis(3000).toMillis()),
Joined.with(
Serdes.String(), /* key */
new OriginalSensorDataSerde(), /* left value */
new ErrorScoreSerde() /* right value */
)
).through("atl-joined-data-repartition", Produced.with(Serdes.String(), new ErrorScoreSerde()));
result.foreach((key, value) -> System.out.println("Join Stream: " + key + " " + value));
KafkaStreams streams = new KafkaStreams(builder.build(), props);
streams.start();
}
private static Properties getProperties() {
Properties props = new Properties();
//Url of the kafka broker, this can also be found in the Aiven console
props.put("bootstrap.servers", "localhost:9095");
props.put("group.id", "join-test");
props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
props.put("application.id", "join-test");
props.put("default.timestamp.extractor", "com.my.SensorDataTimestampExtractor");
//The key of a message is a string
props.put("key.deserializer",
StringDeserializer.class.getName());
props.put("value.deserializer",
StringDeserializer.class.getName());
props.put(StreamsConfig.PROCESSING_GUARANTEE_CONFIG, StreamsConfig.EXACTLY_ONCE);
props.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 1000);
return props;
}
我希望该应用程序启动时不会超时，并且可以继续工作