消费者
yml 文件配置:
dubbo: application: name: dubbo-gateway registry: address: zookeeper://127.0.0.1:2181 server: true provider: timeout: 3000 protocol: name: dubbo port: 20881
controller 类:
@RestController @RequestMapping(value = "/order") @Slf4j public class OrderController { /** * dubbo 的分组特性:group(指定将要聚合的分组) * dubbo 的聚合特性:merger(指定聚合策略) * 自定义策略申明文件名为:org.apache.dubbo.rpc.cluster.Merger(不可变),文件夹名:META-INF.dubbo(不可变) */ @DubboReference(check = false, group = "2017,2018", merger = "page") private OrderService orderService; /** * 查看订单信息 * * @param nowPage * @param pageSize * @return */ @PostMapping("/getOrderInfo") public ResponseVO getOrderInfo(@RequestParam(name = "nowPage", required = false, defaultValue = "1") Integer nowPage, @RequestParam(name = "pageSize", required = false, defaultValue = "5") Integer pageSize) { // 获取当前登陆人的信息 String userId = CurrentUser.getUserId(); // 使用当前登陆人获取已经购买的订单 Pagepage = new Page<>(nowPage,pageSize); if(userId != null && userId.trim().length()>0){ Page result = orderService.getOrderByUserId(Integer.parseInt(userId), page); return ResponseVO.success(nowPage, (int) result.getPages(),"",result.getRecords()); }else{ return ResponseVO.serviceFail("用户未登陆"); } }
自定义聚合策略
在 dubbo-3.0.9.jar!/META-INF/dubbo/internal/ 目录下有一个 org.apache.dubbo.rpc.cluster.Merger 文件,文件内容如下:
map=org.apache.dubbo.rpc.cluster.merger.MapMerger set=org.apache.dubbo.rpc.cluster.merger.SetMerger list=org.apache.dubbo.rpc.cluster.merger.ListMerger byte=org.apache.dubbo.rpc.cluster.merger.ByteArrayMerger char=org.apache.dubbo.rpc.cluster.merger.CharArrayMerger short=org.apache.dubbo.rpc.cluster.merger.ShortArrayMerger int=org.apache.dubbo.rpc.cluster.merger.IntArrayMerger long=org.apache.dubbo.rpc.cluster.merger.LongArrayMerger float=org.apache.dubbo.rpc.cluster.merger.FloatArrayMerger double=org.apache.dubbo.rpc.cluster.merger.DoubleArrayMerger boolean=org.apache.dubbo.rpc.cluster.merger.BooleanArrayMerger
其中申明了 dubbo 定义的聚合策略。在指定dubbo 聚合策略时,可使用 dubbo 提供的聚合策略,也可以使用自定义的聚合策略。
如何自定义 dubbo 聚合策略?
在 resources 目录下创建以下目录及文件(注意:目录及文件名称不可变)。
org.apache.dubbo.rpc.cluster.Merger 文件内容如下:
# 自定义聚合策略 page=com.stylefeng.guns.gateway.config.PageMerger
自定义聚合策略类:
package com.stylefeng.guns.gateway.config; import com.baomidou.mybatisplus.plugins.Page; import org.apache.dubbo.rpc.cluster.Merger; import java.util.ArrayList; import java.util.Arrays; import java.util.List; import java.util.concurrent.atomic.AtomicInteger; public class PageMerger implements Merger{ @Override public Page merge(Page... items) { Page
提供者
yml 文件配置:
dubbo: application: name: dubbo-order registry: address: zookeeper://127.0.0.1:2181 server: true provider: timeout: 3000 protocol: name: dubbo port: 20885
接口及其实现
OrderService 接口:
public interface OrderService { /** * 使用当前登陆人获取已经购买的订单 * @param userId * @param page * @return */ PagegetOrderByUserId(Integer userId, Page page); }
OrderServiceImplA 实现类:
@DubboService(group = "2017") @Slf4j public class OrderServiceImplA implements OrderService { @Autowired private MoocOrder2017TMapper moocOrder2017TMapper; /** * 使用当前登陆人获取已经购买的订单 * * @param userId * @param page * @return */ @Override public PagegetOrderByUserId(Integer userId, Page page) { Page result = new Page<>(); if(userId == null){ log.error("订单查询业务失败,用户编号未传入"); return null; }else{ List ordersByUserId = moocOrder2017TMapper.getOrdersByUserId(userId,page); if(ordersByUserId==null && ordersByUserId.size()==0){ result.setTotal(0); result.setRecords(new ArrayList<>()); return result; }else{ // 获取订单总数 EntityWrapper entityWrapper = new EntityWrapper<>(); entityWrapper.eq("order_user",userId); Integer counts = moocOrder2017TMapper.selectCount(entityWrapper); // 将结果放入Page result.setTotal(counts); result.setRecords(ordersByUserId); return result; } } } }
OrderServiceImplB 实现类:
@DubboService(group = "2018") @Slf4j public class OrderServiceImplB implements OrderService { @Autowired private MoocOrder2018TMapper moocOrder2018TMapper; /** * 使用当前登陆人获取已经购买的订单 * * @param userId * @param page * @return */ @Override public PagegetOrderByUserId(Integer userId, Page page) { Page result = new Page<>(); if(userId == null){ log.error("订单查询业务失败,用户编号未传入"); return null; }else{ List ordersByUserId = moocOrder2018TMapper.getOrdersByUserId(userId,page); if(ordersByUserId==null && ordersByUserId.size()==0){ result.setTotal(0); result.setRecords(new ArrayList<>()); return result; }else{ // 获取订单总数 EntityWrapper entityWrapper = new EntityWrapper<>(); entityWrapper.eq("order_user",userId); Integer counts = moocOrder2018TMapper.selectCount(entityWrapper); // 将结果放入Page result.setTotal(counts); result.setRecords(ordersByUserId); return result; } } } }
表结构及数据
表结构:
CREATE TABLE `mooc_order_2017_t` ( `UUID` varchar(100) DEFAULT NULL COMMENT '主键编号', `cinema_id` int DEFAULT NULL COMMENT '影院编号', `field_id` int DEFAULT NULL COMMENT '放映场次编号', `film_id` int DEFAULT NULL COMMENT '电影编号', `seats_ids` varchar(50) DEFAULT NULL COMMENT '已售座位编号', `seats_name` varchar(200) DEFAULT NULL COMMENT '已售座位名称', `film_price` double DEFAULT NULL COMMENT '影片售价', `order_price` double DEFAULT NULL COMMENT '订单总金额', `order_time` timestamp NULL DEFAULT CURRENT_TIMESTAMP COMMENT '下单时间', `order_user` int DEFAULT NULL COMMENT '下单人', `order_status` int DEFAULT '0' COMMENT '0-待支付,1-已支付,2-已关闭' ) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC COMMENT='订单信息表'; CREATE TABLE `mooc_order_2018_t` ( `UUID` varchar(100) DEFAULT NULL COMMENT '主键编号', `cinema_id` int DEFAULT NULL COMMENT '影院编号', `field_id` int DEFAULT NULL COMMENT '放映场次编号', `film_id` int DEFAULT NULL COMMENT '电影编号', `seats_ids` varchar(50) DEFAULT NULL COMMENT '已售座位编号', `seats_name` varchar(200) DEFAULT NULL COMMENT '已售座位名称', `film_price` double DEFAULT NULL COMMENT '影片售价', `order_price` double DEFAULT NULL COMMENT '订单总金额', `order_time` timestamp NULL DEFAULT CURRENT_TIMESTAMP COMMENT '下单时间', `order_user` int DEFAULT NULL COMMENT '下单人', `order_status` int DEFAULT '0' COMMENT '0-待支付,1-已支付,2-已关闭' ) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=DYNAMIC COMMENT='订单信息表';
表数据:
INSERT INTO `guns_rest`.`mooc_order_2017_t`(`UUID`, `cinema_id`, `field_id`, `film_id`, `seats_ids`, `seats_name`, `film_price`, `order_price`, `order_time`, `order_user`, `order_status`) VALUES ('329123812gnfn31', 1, 1, 2, '1,2,3,4', '第一排1座,第一排2座,第一排3座,第一排4座', 63.2, 126.4, '2017-05-03 12:13:42', 2, 0); INSERT INTO `guns_rest`.`mooc_order_2017_t`(`UUID`, `cinema_id`, `field_id`, `film_id`, `seats_ids`, `seats_name`, `film_price`, `order_price`, `order_time`, `order_user`, `order_status`) VALUES ('310bb3c3127a4551ad72f2f3e53333c7', 1, 1, 2, '9,10', '第一排9座,第一排10座', 60, 120, '2022-07-20 14:25:42', 2, 0); INSERT INTO `guns_rest`.`mooc_order_2018_t`(`UUID`, `cinema_id`, `field_id`, `film_id`, `seats_ids`, `seats_name`, `film_price`, `order_price`, `order_time`, `order_user`, `order_status`) VALUES ('124583135asdf81', 1, 1, 2, '1,2,3,4', '第一排1座,第一排2座,第一排3座,第一排4座', 63.2, 126.4, '2018-02-12 11:53:42', 2, 0);
演示:
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