ShardingSphere-proxy-5.0.0建立mysql读写分离之读库负载均衡算法配置(七)
作者：互联网
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
######################################################################################################
#
# Here you can configure the rules for the proxy.
# This example is configuration of sharding rule.
#
######################################################################################################
#
#schemaName: sharding_db
#
#dataSources:
# ds_0:
# url: jdbc:postgresql://127.0.0.1:5432/demo_ds_0
# username: postgres
# password: postgres
# connectionTimeoutMilliseconds: 30000
# idleTimeoutMilliseconds: 60000
# maxLifetimeMilliseconds: 1800000
# maxPoolSize: 50
# minPoolSize: 1
# ds_1:
# url: jdbc:postgresql://127.0.0.1:5432/demo_ds_1
# username: postgres
# password: postgres
# connectionTimeoutMilliseconds: 30000
# idleTimeoutMilliseconds: 60000
# maxLifetimeMilliseconds: 1800000
# maxPoolSize: 50
# minPoolSize: 1
#
#rules:
#- !SHARDING
# tables:
# t_order:
# actualDataNodes: ds_${0..1}.t_order_${0..1}
# tableStrategy:
# standard:
# shardingColumn: order_id
# shardingAlgorithmName: t_order_inline
# keyGenerateStrategy:
# column: order_id
# keyGeneratorName: snowflake
# t_order_item:
# actualDataNodes: ds_${0..1}.t_order_item_${0..1}
# tableStrategy:
# standard:
# shardingColumn: order_id
# shardingAlgorithmName: t_order_item_inline
# keyGenerateStrategy:
# column: order_item_id
# keyGeneratorName: snowflake
# bindingTables:
# - t_order,t_order_item
# defaultDatabaseStrategy:
# standard:
# shardingColumn: user_id
# shardingAlgorithmName: database_inline
# defaultTableStrategy:
# none:
#
# shardingAlgorithms:
# database_inline:
# type: INLINE
# props:
# algorithm-expression: ds_${user_id % 2}
# t_order_inline:
# type: INLINE
# props:
# algorithm-expression: t_order_${order_id % 2}
# t_order_item_inline:
# type: INLINE
# props:
# algorithm-expression: t_order_item_${order_id % 2}
#
# keyGenerators:
# snowflake:
# type: SNOWFLAKE
# props:
# worker-id: 123
######################################################################################################
#
# If you want to connect to MySQL, you should manually copy MySQL driver to lib directory.
#
######################################################################################################
# 连接mysql所使用的数据库名
schemaName: MyDb
dataSources:
ds_0:
url: jdbc:mysql://127.0.0.1:3306/MyDb?serverTimezone=UTC&useSSL=false
username: root # 数据库用户名
password: mysql123 # 登录密码
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 50
minPoolSize: 1
ds_0_read0:
url: jdbc:mysql://192.168.140.132:3306/MyDb?serverTimezone=UTC&useSSL=false
username: root # 数据库用户名
password: Xiaohemiao_123 # 登录密码
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 50
minPoolSize: 1
# ds_1:
# url: jdbc:mysql://127.0.0.1:3306/demo_ds_1?serverTimezone=UTC&useSSL=false
# username: root
# password:
# connectionTimeoutMilliseconds: 30000
# idleTimeoutMilliseconds: 60000
# maxLifetimeMilliseconds: 1800000
# maxPoolSize: 50
# minPoolSize: 1
#
# 规则
rules:
- !READWRITE_SPLITTING
dataSources:
pr_ds:
writeDataSourceName: ds_0 #主库
readDataSourceNames:
- ds_0_read0 # 从库，如果有多个从库，就在下面写多个
loadBalancerName: loadBalancer_ROUND_ROBIN
loadBalancers: # 负载均衡算法配置
loadBalancer_ROUND_ROBIN: # 负载均衡算法名称，自定义
type: ROUND_ROBIN # 负载均衡算法，默认为轮询算法，还有加权算法和随机算法，可参考官网
- !SHARDING
tables:
t_product: #需要进行分表的表名
actualDataNodes: ds_0.t_product_${0..1} # 表达式，将表分为t_product_0 , t_product_1
tableStrategy:
standard:
shardingColumn: product_id # 字段名
shardingAlgorithmName: t_product_VOLUME_RANGE
keyGenerateStrategy:
column: id
keyGeneratorName: snowflake #雪花算法
# t_order_item:
# actualDataNodes: ds_${0..1}.t_order_item_${0..1}
# tableStrategy:
# standard:
# shardingColumn: order_id
# shardingAlgorithmName: t_order_item_inline
# keyGenerateStrategy:
# column: order_item_id
# keyGeneratorName: snowflake
# bindingTables:
# - t_order,t_order_item
# defaultDatabaseStrategy:
# standard:
# shardingColumn: user_id
# shardingAlgorithmName: database_inline
# defaultTableStrategy:
# none:
#
shardingAlgorithms:
t_product_VOLUME_RANGE: # 取模名称，可自定义
type: VOLUME_RANGE # 取模算法
props:
range-lower: '5' # 最小容量为5条数据，仅方便测试
range-upper: '10' #最大容量为10条数据，仅方便测试
sharding-volume: '5' #分片的区间的数据的间隔
# t_order_inline:
# type: INLINE
# props:
# algorithm-expression: t_order_${order_id % 2}
# t_order_item_inline:
# type: INLINE
# props:
# algorithm-expression: t_order_item_${order_id % 2}
#
keyGenerators:
snowflake: # 雪花算法名称，自定义名称
type: SNOWFLAKE
props:
worker-id: 123
标签：5.0,读库,ShardingSphere,ds,order,item,inline,type,id 来源： https://www.cnblogs.com/sportsky/p/16425072.html