v2.1.0 RC2

This commit is contained in:
Crystal.Sea
2020-09-01 22:20:57 +08:00
parent 1f0377e8ec
commit 08fb4f4104
4 changed files with 50 additions and 41 deletions

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@@ -2,7 +2,7 @@
#application
application.title=MaxKey
application.name=MaxKey
application.formatted-version=v2.1.0 GA
application.formatted-version=v2.2.0 GA
#server config
#spring.profiles.active=dev
#server port
@@ -70,24 +70,24 @@ spring.messages.encoding=UTF-8
spring.main.banner-mode=log
spring.main.allow-bean-definition-overriding=true
###########【Kafka集群】###########
###########\u3010Kafka\u96c6\u7fa4\u3011###########
spring.kafka.bootstrap-servers=localhost:9092
###########【初始化生产者配置】###########
# 重试次数
###########\u3010\u521d\u59cb\u5316\u751f\u4ea7\u8005\u914d\u7f6e\u3011###########
# \u91cd\u8bd5\u6b21\u6570
spring.kafka.producer.retries=0
# 应答级别:多少个分区副本备份完成时向生产者发送ack确认(可选0、1、all/-1)
# \u5e94\u7b54\u7ea7\u522b:\u591a\u5c11\u4e2a\u5206\u533a\u526f\u672c\u5907\u4efd\u5b8c\u6210\u65f6\u5411\u751f\u4ea7\u8005\u53d1\u9001ack\u786e\u8ba4(\u53ef\u90090\u30011\u3001all/-1)
spring.kafka.producer.acks=1
# 批量大小
# \u6279\u91cf\u5927\u5c0f
spring.kafka.producer.batch-size=16384
# 提交延时
# \u63d0\u4ea4\u5ef6\u65f6
spring.kafka.producer.properties.linger.ms=0
# 当生产端积累的消息达到batch-size或接收到消息linger.ms后,生产者就会将消息提交给kafka
# linger.ms为0表示每接收到一条消息就提交给kafka,这时候batch-size其实就没用了
# \u5f53\u751f\u4ea7\u7aef\u79ef\u7d2f\u7684\u6d88\u606f\u8fbe\u5230batch-size\u6216\u63a5\u6536\u5230\u6d88\u606flinger.ms\u540e,\u751f\u4ea7\u8005\u5c31\u4f1a\u5c06\u6d88\u606f\u63d0\u4ea4\u7ed9kafka
# linger.ms\u4e3a0\u8868\u793a\u6bcf\u63a5\u6536\u5230\u4e00\u6761\u6d88\u606f\u5c31\u63d0\u4ea4\u7ed9kafka,\u8fd9\u65f6\u5019batch-size\u5176\u5b9e\u5c31\u6ca1\u7528\u4e86
# 生产端缓冲区大小
# \u751f\u4ea7\u7aef\u7f13\u51b2\u533a\u5927\u5c0f
spring.kafka.producer.buffer-memory = 33554432
# Kafka提供的序列化和反序列化类
# Kafka\u63d0\u4f9b\u7684\u5e8f\u5217\u5316\u548c\u53cd\u5e8f\u5217\u5316\u7c7b
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer
# 自定义分区器
# \u81ea\u5b9a\u4e49\u5206\u533a\u5668
# spring.kafka.producer.properties.partitioner.class=com.felix.kafka.producer.CustomizePartitioner