infra_trends分表，并自动创建月表

win-module-infra/win-module-infra-biz/src/main/java/com/win/module/infra/controller/trends/vo/TrendsBaseVO.java

@@ -12,7 +12,7 @@ import javax.validation.constraints.NotNull;
 @Data
 public class TrendsBaseVO {
 
-    @Schema(description = "表名", requiredMode = Schema.RequiredMode.REQUIRED, example = "赵六")
+    @Schema(description = "表名", requiredMode = Schema.RequiredMode.REQUIRED, example = "infraTrends")
     @NotNull(message = "表名不能为空")
     private String tableName;
 

win-module-infra/win-module-infra-biz/src/main/java/com/win/module/infra/controller/trends/vo/TrendsPageReqVO.java

@@ -17,7 +17,7 @@ import static com.win.framework.common.util.date.DateUtils.FORMAT_YEAR_MONTH_DAY
 @ToString(callSuper = true)
 public class TrendsPageReqVO extends PageParam {
 
-    @Schema(description = "表名", example = "赵六")
+    @Schema(description = "表名", example = "infraTrends")
     private String tableName;
 
     @Schema(description = "表数据id", example = "9210")

win-server/src/main/resources/application-dev.yaml

@@ -58,7 +58,8 @@ spring:
           # t_user 是逻辑表
           infra_trends:
             # 配置数据节点，这里是按月分表
-            actualDataNodes: master.infra_trends_$->{2023..2030}${(1..12).collect{t->t.toString().padLeft(2,'0')}}
+            #actualDataNodes:  master.infra_trends_$->{2023}${(10..12).collect{t->t.toString().padLeft(2,'0')}},master.infra_trends_$->{2024..2030}${(1..12).collect{t->t.toString().padLeft(2,'0')}}
+            actualDataNodes:  master.infra_trends_$->{2023}${(10..12).collect{t->t.toString().padLeft(2,'0')}}
             tableStrategy:
               # 使用标准分片策略
               standard:

win-server/src/main/resources/application-prod.yaml

@@ -52,6 +52,21 @@ spring:
             load-balancers:
               alg_round:
                 type: ROUND_ROBIN
+      sharding:
+        # 表策略配置
+        tables:
+          # t_user 是逻辑表
+          infra_trends:
+            # 配置数据节点，这里是按月分表
+            #actualDataNodes:  master.infra_trends_$->{2023}${(10..12).collect{t->t.toString().padLeft(2,'0')}},master.infra_trends_$->{2024..2030}${(1..12).collect{t->t.toString().padLeft(2,'0')}}
+            actualDataNodes: master.infra_trends_$->{2023}${(10..12).collect{t->t.toString().padLeft(2,'0')}}
+            tableStrategy:
+              # 使用标准分片策略
+              standard:
+                # 配置分片字段
+                shardingColumn: create_time
+                # 分片算法名称，不支持大写字母和下划线，否则启动就会报错
+                shardingAlgorithmName: time-sharding-altorithm
   datasource:
     dynamic:
       strict: true

win-server/src/main/resources/application-test.yaml

@@ -52,6 +52,21 @@ spring:
             load-balancers:
               alg_round:
                 type: ROUND_ROBIN
+      sharding:
+        # 表策略配置
+        tables:
+          # t_user 是逻辑表
+          infra_trends:
+            # 配置数据节点，这里是按月分表
+            #actualDataNodes:  master.infra_trends_$->{2023}${(10..12).collect{t->t.toString().padLeft(2,'0')}},master.infra_trends_$->{2024..2030}${(1..12).collect{t->t.toString().padLeft(2,'0')}}
+            actualDataNodes: master.infra_trends_$->{2023}${(10..12).collect{t->t.toString().padLeft(2,'0')}}
+            tableStrategy:
+              # 使用标准分片策略
+              standard:
+                # 配置分片字段
+                shardingColumn: create_time
+                # 分片算法名称，不支持大写字母和下划线，否则启动就会报错
+                shardingAlgorithmName: time-sharding-altorithm
   datasource:
     dynamic:
       strict: true