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: 20881controller 类：
@RestController
@RequestMapping(value = "/order")
@Slf4j
public class OrderController {
@DubboReference(check = false, group = "2017,2018", merger = "page")
private OrderService orderService;
@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
Page<OrderVO> page = new Page<>(nowPage,pageSize);
if(userId != null && userId.trim().length()>0){
Page<OrderVO> 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<Page> {
@Override
public Page merge(Page... items) {
Page<Object> page = new Page<>();
List<Object> records = new ArrayList<>();
AtomicInteger total = new AtomicInteger();
Arrays.stream(items).forEach(item -> {
records.addAll(item.getRecords());
total.addAndGet((int) item.getPages());
});
page.setRecords(records);
page.setSize(total.get());
return 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 {
Page<OrderVO> getOrderByUserId(Integer userId, Page<OrderVO> page);
}OrderServiceImplA 实现类：
@DubboService(group = "2017")
@Slf4j
public class OrderServiceImplA implements OrderService {
@Autowired
private MoocOrder2017TMapper moocOrder2017TMapper;
@Override
public Page<OrderVO> getOrderByUserId(Integer userId, Page<OrderVO> page) {
Page<OrderVO> 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<OrderVO> 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<MoocOrder2017T> 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;
@Override
public Page<OrderVO> getOrderByUserId(Integer userId, Page<OrderVO> page) {
Page<OrderVO> 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<OrderVO> 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<MoocOrder2018T> 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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