Kafka Streams永久存储错误:状态存储,可能已迁移到另一个实例 [英] Kafka Streams persistent store error: the state store, may have migrated to another instance
问题描述
我在Spring Boot中使用Kafka Streams.在我的用例中,当我从其他微服务收到客户事件时,我需要存储在客户实例化视图中,当我收到 order 事件时,我需要加入客户并订购然后存储在客户订单实例化视图中.为此,我创建了持久键值存储 customer-store 和
I am using Kafka Streams with Spring Boot. In my use case when I receive customer event from other microservice I need to store in customer materialized view and when I receive order event, I need to join customer and order then store in customer-order materialized view. To achieve this I created persistent key-value store customer-store and updating this when a new event comes.
StoreBuilder customerStateStore = Stores.keyValueStoreBuilder(Stores.persistentKeyValueStore("customer"),Serdes.String(), customerSerde).withLoggingEnabled(new HashMap<>());
streamsBuilder.addStateStore(customerStateStore);
KTable<String,Customer> customerKTable=streamsBuilder.table("customer",Consumed.with(Serdes.String(),customerSerde));
customerKTable.foreach(((key, value) -> System.out.println("Customer from Topic: "+value)));
已配置的拓扑,流和已启动的流对象.当我尝试使用ReadOnlyKeyValueStore访问存储区时,即使我刚才存储了一些对象,也遇到了以下异常
Configured Topology, Streams and started streams object. When I try to access store using ReadOnlyKeyValueStore, I got the following exception, even though I stored some objects few moments ago
streams.start();
ReadOnlyKeyValueStore<String, Customer> customerStore = streams.store("customer", QueryableStoreTypes.keyValueStore());
System.out.println("customerStore.approximateNumEntries()-> " + customerStore.approximateNumEntries());
代码已上传到 Github 以供参考.感谢您的帮助.
Code uploaded to Github for reference. Appreciate your help.
例外:
org.apache.kafka.streams.errors.InvalidStateStoreException: the state store, customer, may have migrated to another instance.
at org.apache.kafka.streams.state.internals.QueryableStoreProvider.getStore(QueryableStoreProvider.java:60)
at org.apache.kafka.streams.KafkaStreams.store(KafkaStreams.java:1043)
at com.kafkastream.service.EventsListener.main(EventsListener.java:94)
推荐答案
状态存储通常需要一些时间来准备.最简单的方法如下所示. (官方文件中的代码)
The state store needs some time to be prepared usually. The simplest approach is like below. (code from the official document)
public static <T> T waitUntilStoreIsQueryable(final String storeName,
final QueryableStoreType<T> queryableStoreType,
final KafkaStreams streams) throws InterruptedException {
while (true) {
try {
return streams.store(storeName, queryableStoreType);
} catch (InvalidStateStoreException ignored) {
// store not yet ready for querying
Thread.sleep(100);
}
}
}
您可以在文档中找到其他信息. https://docs.confluent.io/current/streams/faq. html#interactive-queries
You can find additional info in the document. https://docs.confluent.io/current/streams/faq.html#interactive-queries
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