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select a1.id,a1.name,a1.sort,a1.type,a3.value - (a1.nums/a2.nums)*100 as nums,a3.value,a1.nums,a2.nums,a1.packageNum
from (
select swr.id,swr.name,swr.sort,srscm.area_id as type,count(swl.id) as nums,ifnull(sum(swl.package_num),0) packageNum
from sys_warehouse_roadway swr
join sys_warehouse_location swl on swr.id = swl.roadway_id
and swl.status = 1 and swl.delete_status = 0 and swl.package_num > 0
join sys_recommend_store_code_mapping srscm on srscm.area_id = swr.area_id
where swr.status = 1 AND swr.delete_status = 0 and swr.name='A10'
GROUP BY swr.id,swr.name,swr.sort,srscm.area_id
) a1,
(
select swr.id,swr.name,swr.sort,srscm.area_id as type,count(1) as nums
from sys_warehouse_roadway swr
left join sys_warehouse_location swl on swr.id = swl.roadway_id and swl.status = 1 and swl.delete_status = 0
left join sys_recommend_store_code_mapping srscm on srscm.area_id = swr.area_id
where swr.status = 1 AND swr.delete_status = 0 and swr.name='A10'
GROUP BY swr.id,swr.name,swr.sort,srscm.area_id
) a2,
(
select * from sys_key_value skv where skv.key = 'RecommandStorePercent'
) a3
where a1.id = a2.id
-- -------------------------------------------------------------------------------------
select swr.id,swr.name,swr.sort as type,count(swl.id) as nums,ifnull(sum(swl.package_num),0) packageNum
from sys_warehouse_roadway swr
left join sys_warehouse_location swl on swr.id = swl.roadway_id
and swl.status = 1 and swl.delete_status = 0 and swl.package_num > 0
where swr.status = 1 AND swr.delete_status = 0
GROUP BY swr.id,swr.name,swr.sort
select swr.id,swr.name,swr.sort,count(1) as nums,count(swl.id) as nums2
from sys_warehouse_roadway swr
left join sys_warehouse_location swl on swr.id = swl.roadway_id and swl.status = 1 and swl.delete_status = 0
where swr.status = 1 AND swr.delete_status = 0
GROUP BY swr.id,swr.name,swr.sort
-- --巷道是通过(包裹类型 国家等决定选取那个巷道).
-- --说明：1.首先统计巷道下包裹库存率在80%以下的巷道 (swl.package_num>0 查询此巷道下的有包裹的库位(swl.package_num>0)数/ 此巷道下的总库位数）
---选择库位：(在库位表 根据库位包裹数的升序 查到最少包裹巷道的库位)
select swl.id,swl.name from sys_warehouse_location swl
where swl.roadway_id = #{roadWayId} and swl.status = 1
ORDER BY swl.package_num
LIMIT 1
-------------------------------------------------------------------------在JaVA 里面的写法
// 过滤巷道是否饱和
List<RoadWayInfoRecommendDTO> baoheList = roadWayInfoList.stream().filter(a -> a.getNums() > 0).collect(Collectors.toList());
//记录日志
logDTO.setRequest("a.getNums() > 0，过滤掉已经饱和的巷道");
logDTO.setResponse("过滤已经饱和的巷道" + JSONObject.toJSON(baoheList));
recommendStoreCodeManager.insertRecommendStoreCodeLog(logDTO);
List<RoadWayInfoRecommendDTO> serchList = new ArrayList<>();
if (CollectionUtils.isNotEmpty(baoheList)) {
// 未饱和
ListUtils.sort(baoheList, "nums", true);
ListUtils.sort(baoheList, "sort", true);
serchList = baoheList;
} else {
// 已饱和
ListUtils.sort(roadWayInfoList, "packageNum", true);
serchList = roadWayInfoList;
}
long roadwayId = serchList.get(0).getId();
// 获取开始时间
startTime = System.currentTimeMillis();
LocationInfoRecommendDTO randomLocationInfo = recommendDAO.getRandomLocation(roadwayId, 0);
// 获取结束时间
endTime = System.currentTimeMillis();
runTime = (endTime - startTime) + "ms";
logDTO.setRequest("首单根据巷道获取任意库位查询时间");
logDTO.setResponse(runTime);
recommendStoreCodeManager.insertRecommendStoreCodeLog(logDTO);
if (randomLocationInfo == null) {
message = "根据巷道" + roadwayId + "未获取到任意库位";
logDTO.setRequest("{\"roadwayId\":\"" + roadwayId + "\"}");
logDTO.setResponse(message);
recommendStoreCodeManager.insertRecommendStoreCodeLog(logDTO);
response.setSucess(false);
response.setMessage(message);
response.setRecommendStoreCode("");
return response;
}
//记录日志
logDTO.setRequest("{\"roadwayId\":\"" + roadwayId + "\"}");
logDTO.setResponse("根据巷道，获取库位信息" + JSONObject.toJSON(randomLocationInfo));
recommendStoreCodeManager.insertRecommendStoreCodeLog(logDTO);
response.setSucess(true);
response.setRecommendStoreCode(randomLocationInfo.getName());
response.setMessage("");
return response;
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