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shoulder-platform/doc/appConfig/common.yml
2020-10-07 17:08:13 +08:00

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# 所有服务和环境下都不变的配置
# 个性化配置:复制本配置到 {服务}-${profiles.active}.yml 文件中进行修改
shoulder:
application:
id: ${spring.application.name}
# errorCodePrefix: # 每个应用唯一
# version: # 从 pom.xml 获取
# dateFormat: "yyyy-MM-dd'T'HH:mm:ss.SSS Z" # 默认 yyyy-MM-dd'T'HH:mm:ss.SSS Z
defaultLocale: zh_CN
charset: UTF-8
cluster: false
# 服务器配置
server:
undertow:
io-threads: 8 # 线程数, 主要执行非阻塞的任务。推荐与 CPU 核数相同
worker-threads: 120 # 阻塞任务线程池, 执行类似servlet请求阻塞操作。推荐为 CPU 核数 * 8
buffer-size: 1024 # 用于服务器连接的IO操作,类似netty的池化内存管理。推荐略大于绝大多数请求的大小根据自己的实际场景决定
direct-buffers: true # 是否分配的直接内存(堆外内存,避免 GC、复制。推荐开启
spring:
# servlet 配置
servlet:
multipart:
max-file-size: 128MB # 上传文件最大大小默认1M
max-request-size: 128MB # 请求最大大小默认10M
# http 配置
http:
encoding:
charset: ${shoulder.application.charset} # 使用统一编码
force: true
enabled: true
zipkin:
sender:
type: RABBIT
enabled: ${shoulder.zipkin.enabled}
discoveryClientEnabled: true
baseUrl: http://localhost:9411/ #http://shoulder-zipkin:8772/
compression: # 压缩
enabled: true
locator: # 通过 nacos 动态获取地址
discovery:
enabled: true
rabbitmq: # 使用指定的队列
queue: shoulder_zipkin
# 采集率,默认 0.1 (记录 10% 的请求,过高会影响性能)
sleuth:
enabled: ${shoulder.zipkin.enabled}
sampler:
probability: 1.0
# 健康检查
management:
endpoints:
web:
base-path: /actuator
exposure:
include: '*'
endpoint:
health:
show-details: ALWAYS
enabled: true
# Feign 配置
feign:
httpclient:
enabled: false
okhttp:
enabled: true
hystrix:
enabled: true # 开启熔断机制
compression: # 压缩请求
request:
enabled: true
mime-types: text/xml,application/xml,application/json
min-request-size: 2048
response: # 响应压缩
enabled: true
# ribbon 配置
ribbon:
httpclient:
enabled: false
okhttp:
enabled: true
ReadTimeout: 30000 # 响应流读取超时时间,
ConnectTimeout: 30000 # 注意:要小于熔断超时时间,否则将被熔断
MaxAutoRetries: 0 # 最大自动重试次数(不切换服务地址)
MaxAutoRetriesNextServer: 2 # 最大自动服务地址切换重试次数
OkToRetryOnAllOperations: false #无论是请求超时或者socket read timeout都进行重试
# 统一日志记录位置
logging:
file:
path: /logs
name: ${logging.file.path}/${spring.application.name}/${spring.application.name}.log