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build: Java版本升级到21 & SpringBoot版本升级到2.7.18

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xiongxiaoyang
2025-03-15 15:06:59 +08:00
parent fd200772c9
commit 9033ca6331
21 changed files with 244 additions and 549 deletions
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82
novel-admin/src/main/resources/application-dev.yml
View File

@@ -8,91 +8,13 @@ logging:
com.java2nb: debug
spring:
datasource:
type: com.alibaba.druid.pool.DruidDataSource
driverClassName: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://127.0.0.1:3306/novel_plus?useUnicode=true&characterEncoding=utf8&useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true
username: root
password: test123456
#password:
initialSize: 1
minIdle: 3
maxActive: 20
# 配置获取连接等待超时的时间
maxWait: 60000
# 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
timeBetweenEvictionRunsMillis: 60000
# 配置一个连接在池中最小生存的时间，单位是毫秒
minEvictableIdleTimeMillis: 30000
validationQuery: select 'x'
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
# 打开PSCache，并且指定每个连接上PSCache的大小
poolPreparedStatements: true
maxPoolPreparedStatementPerConnectionSize: 20
# 配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
filters: stat,slf4j
# 通过connectProperties属性来打开mergeSql功能；慢SQL记录
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合并多个DruidDataSource的监控数据
#useGlobalDataSourceStat: true
driverClassName: org.apache.shardingsphere.driver.ShardingSphereDriver
url: jdbc:shardingsphere:absolutepath:${user.dir}/config/shardingsphere-jdbc.yml
redis:
host: 127.0.0.1
port: 6379
password: test123456
# 连接超时时间（毫秒）
timeout: 10000
jedis:
pool:
# 连接池中的最大空闲连接
max-idle: 8
# 连接池中的最小空闲连接
min-idle: 10
# 连接池最大连接数（使用负值表示没有限制）
max-active: 100
# 连接池最大阻塞等待时间（使用负值表示没有限制）
max-wait: -1
####使用shardingJdbc时，
####所有的jdbcType都不能是LONGVARCHAR,否则会导致java.io.NotSerializableException: java.io.StringReader错误
##### 应该替换所有的 LONGVARCHAR 类型为VARCHAR
sharding:
jdbc:
datasource:
names: ds0,ds1
ds0:
type: com.zaxxer.hikari.HikariDataSource
driver-class-name: com.mysql.cj.jdbc.Driver
jdbc-url: jdbc:mysql://localhost:3306/novel_plus?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=Asia/Shanghai
username: root
password: test123456
ds1:
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.jdbc.Driver
url: jdbc:mysql://localhost:3306/information_schema?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=Asia/Shanghai
username: root
password: test123456
config:
sharding:
props:
sql.show: true
tables:
book_content: #book_content表
key-generator-column-name: id #主键
actual-data-nodes: ds${0}.book_content${0..9} #数据节点
# database-strategy: #分库策略
# inline:
# sharding-column: book_id
# algorithm-expression: ds${book_id % 10}
table-strategy: #分表策略
inline:
shardingColumn: index_id
algorithm-expression: book_content${index_id % 10}
tables:
actual-data-nodes: ds${1}.tables
columns:
actual-data-nodes: ds${1}.columns
default-data-source-name: ds0

78
novel-admin/src/main/resources/application-prod.yml
View File

@@ -8,85 +8,13 @@ logging:
com.java2nb: error
spring:
datasource:
type: com.alibaba.druid.pool.DruidDataSource
driverClassName: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://127.0.0.1:3306/test?useUnicode=true&characterEncoding=utf8&useSSL=false&serverTimezone=Asia/Shanghai&allowPublicKeyRetrieval=true
username: root
password: test123456
#password:
initialSize: 1
minIdle: 3
maxActive: 20
# 配置获取连接等待超时的时间
maxWait: 60000
# 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
timeBetweenEvictionRunsMillis: 60000
# 配置一个连接在池中最小生存的时间，单位是毫秒
minEvictableIdleTimeMillis: 30000
validationQuery: select 'x'
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
# 打开PSCache，并且指定每个连接上PSCache的大小
poolPreparedStatements: true
maxPoolPreparedStatementPerConnectionSize: 20
# 配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
filters: stat,slf4j
# 通过connectProperties属性来打开mergeSql功能；慢SQL记录
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合并多个DruidDataSource的监控数据
#useGlobalDataSourceStat: true
driverClassName: org.apache.shardingsphere.driver.ShardingSphereDriver
url: jdbc:shardingsphere:absolutepath:${user.dir}/config/shardingsphere-jdbc.yml
redis:
host: 127.0.0.1
port: 6379
password: test
password: test123456
# 连接超时时间（毫秒）
timeout: 10000
jedis:
pool:
# 连接池中的最大空闲连接
max-idle: 8
# 连接池中的最小空闲连接
min-idle: 10
# 连接池最大连接数（使用负值表示没有限制）
max-active: 100
# 连接池最大阻塞等待时间（使用负值表示没有限制）
max-wait: -1
####使用shardingJdbc时，
####所有的jdbcType都不能是LONGVARCHAR,否则会导致java.io.NotSerializableException: java.io.StringReader错误
##### 应该替换所有的 LONGVARCHAR 类型为VARCHAR
sharding:
jdbc:
datasource:
names: ds0 #,ds1
ds0:
type: com.zaxxer.hikari.HikariDataSource
driver-class-name: com.mysql.cj.jdbc.Driver
jdbc-url: jdbc:mysql://localhost:3306/novel_plus?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=Asia/Shanghai
username: root
password: test123456
# ds1:
# type: com.alibaba.druid.pool.DruidDataSource
# driver-class-name: com.mysql.jdbc.Driver
# url: jdbc:mysql://localhost:3306/novel_plus2
# username: root
# password: test123456
config:
sharding:
props:
sql.show: true
tables:
book_content: #book_content表
key-generator-column-name: id #主键
actual-data-nodes: ds${0}.book_content${0..9} #数据节点
# database-strategy: #分库策略
# inline:
# sharding-column: book_id
# algorithm-expression: ds${book_id % 10}
table-strategy: #分表策略
inline:
shardingColumn: index_id
algorithm-expression: book_content${index_id % 10}