【django】mysql原生查询命令后,RawQueryset类型的自定义序列化返回json格式
1:设置mysql原生分页
# 监控系统首页显示分页 def MyPagination(limitid,offsetid): limitid =str(limitid) offsetid =str(offsetid)
# 这里是mysql原生代码 show_goods = "select dal_keywordtable.* from (select asin, min(ranking) as minRanking from `dal_keywordtable` GROUP BY asin) t2 LEFT JOIN dal_keywordtable on t2.asin = dal_keywordtable.asin and t2.minRanking = dal_keywordtable.ranking limit " + limitid + " offset " + offsetid + ";" return show_goods # 用于测试调用 ret = MyPagination(1,2) print(ret) 返回结果是: # 这里只是确认下参数是否被调用进去 select dal_keywordtable.* from (select asin, min(ranking) as minRanking from `dal_keywordtable` GROUP BY asin) t2 LEFT JOIN dal_keywordtable on t2.asin = dal_keywordtable.asin and t2.minRanking = dal_keywordtable.ranking limit 1 offset 2; # 从第1个取 取2个
2:GET请求连接上找到传入的limit与offset:
from utils import orm # 导入上面的分页连接,带参数调用这个方法 # 从第offsetid开始取,取limitid个 limitid = request._request.GET.get("limit") offsetid = request._request.GET.get("offset") raw_Pagination =MyPagination(limitid,offsetid) obj_rawqueryset = models.KeyWordTable.objects.raw(raw_Pagination) # 得到
3:序列化查询的RawQueryset类型,返回json格式:
# 序列化 json_data = {} data_list = [] for obj in obj_rawqueryset: data = {} # 要在遍历里面创建字典用于存数据 print(obj) data["goods_title"] = obj.goods_title data["src"] = obj.src data["single_keyword"] = obj.single_keyword data["asin"] = obj.asin data["seed_asin"] = obj.seed_asin data["ranking"] = obj.ranking data["position"] = obj.position data["time"] = obj.time.strftime('%Y-%m-%d') data_list.append(data) json_data['data'] = data_list return Response(json_data) # 返回给前端的json格式: { "data": [ { "goods_title": "Sloggers Women's Waterproof Rain and Garden Shoe with Comfort Insole, Blue Swirls, Size 6, Style 5117SWL06", "src": "https://images-na.ssl-images-amazon.com/images/I/41CSEL0bHeL._SS36_.jpg", "single_keyword": null, "asin": "B077TDGR51", "seed_asin": "B01H7X9ASA", "ranking": 666666, "position": null, "time": "2019-12-02" }, { "goods_title": "S1loggers Women's Waterproof Rain and Garden Shoe with Comfort Insole, Blue Swirls, Size 6, Style 5117SWL06", "src": "https://images-na.ssl-images-amazon.com/images/I/41CSEL0bHeL._SS36_.jpg", "single_keyword": null, "asin": "B077TDGR53", "seed_asin": "B01H7X9ASB", "ranking": 666666, "position": null, "time": "2019-12-02" }, { "goods_title": "S2loggers Women's Waterproof Rain and Garden Shoe with Comfort Insole, Blue Swirls, Size 6, Style 5117SWL06", "src": "https://images-na.ssl-images-amazon.com/images/I/41CSEL0bHeL._SS36_.jpg", "single_keyword": null, "asin": "B077TDGR52", "seed_asin": "B01H7X9ASC", "ranking": 2, "position": null, "time": "2019-12-03" } ] }
Python全栈(后端、数据分析、脚本、爬虫、EXE客户端) / 前端(WEB,移动,H5) / Linux / SpringBoot / 机器学习
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· 开发者必知的日志记录最佳实践
· SQL Server 2025 AI相关能力初探
· Linux系列:如何用 C#调用 C方法造成内存泄露
· AI与.NET技术实操系列(二):开始使用ML.NET
· 记一次.NET内存居高不下排查解决与启示
· Manus重磅发布:全球首款通用AI代理技术深度解析与实战指南
· 被坑几百块钱后,我竟然真的恢复了删除的微信聊天记录!
· 没有Manus邀请码?试试免邀请码的MGX或者开源的OpenManus吧
· 园子的第一款AI主题卫衣上架——"HELLO! HOW CAN I ASSIST YOU TODAY
· 【自荐】一款简洁、开源的在线白板工具 Drawnix