eruka快速刷新和kafka配置(Eureka)

Kafka partition扩充并且需要迁移数据
生产不用指定具体分区，会自动分配
拉取也不用指定具体分区，会自动拉多个分区

可以同时拉取多个topic

kafka配置
<dependency>
   <groupId>org.apache.kafka</groupId>
   <artifactId>kafka_2.12</artifactId>
   <version>2.3.0</version>
</dependency>
Properties proprops = new Properties();
proprops.put(“bootstrap.servers”, “192.168.31.234:59092”);
proprops.put(“acks”, “all”);
proprops.put(“key.serializer”, “org.apache.kafka.common.serialization.StringSerializer”);
proprops.put(“value.serializer”, “org.apache.kafka.common.serialization.StringSerializer”);

Producer<String, String> producer = new KafkaProducer<>(proprops);
for (int i = 0; i < 9999; i++)
producer.send(new ProducerRecord<String, String>(“my-topic3”, Integer.toString(i), Integer.toString(i)));

producer.close();

Properties props = new Properties();
props.put(“bootstrap.servers”, “192.168.31.234:59092”);
props.put(“group.id”, “test6”);
props.put(“enable.auto.commit”, “true”);
props.put(“auto.commit.interval.ms”, “1000”);
props.put(“key.deserializer”, “org.apache.kafka.common.serialization.StringDeserializer”);
props.put(“value.deserializer”, “org.apache.kafka.common.serialization.StringDeserializer”);
// props.put(“zookeeper.session.timeout.ms”, “40000”);
// props.put(“zookeeper.sync.time.ms”, “200”);
// props.put(“rebalance.max.retries”, “5”);
// props.put(“rebalance.backoff.ms”, “12000”);
KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
// consumer.subscribe(Arrays.asList(“my-topic2”));
consumer.subscribe(Collections.singletonList(“my-topic3”));

while (true) {

   ConsumerRecords<String, String> records = consumer.poll(Duration.ofSeconds(5));
   System.out.printf(“2222222222222″+ records.toString());
   for (ConsumerRecord<String, String> record : records) {

       System.out.println(“llllllllllllllllll” + record);
       System.out.printf(“offset = %d, key = %s, value = %s%n”, record.offset(), record.key(), record.value());
   }
}

eureka 快速刷新配置

eureka:
server:
#关闭自我保护
enable-self-preservation: false
#不读取只读的缓存服务清单，因为30秒刷新一次比较慢，读写高速缓存过期策略
UseReadOnlyResponseCache: false
#启用主动失效，并且每次主动失效检测间隔为3s
eviction-interval-timer-in-ms: 3000
instance:
hostname: localhost
#服务过期时间配置,超过这个时间没有接收到心跳EurekaServer就会将这个实例剔除
#注意，EurekaServer一定要设置eureka.server.eviction-interval-timer-in-ms否则这个配置无效，这个配置一般为服务刷新时间配置的三倍
#默认90s
lease-expiration-duration-in-seconds: 15
#服务刷新时间配置，每隔这个时间会主动心跳一次
#默认30s
lease-renewal-interval-in-seconds: 5
client:
#客户端：服务缓存清单也是默认30秒更新一次，可通过设置RegistryFetchIntervalSeconds来缩短,单位是秒
registryFetchIntervalSeconds: 5
registerWithEureka: false
fetchRegistry: false
serviceUrl:
defaultZone: http://${eureka.instance.hostname}:${server.port}/eureka/