package com.cowr.ssjygl.overall; import com.cowr.common.Const; import com.cowr.common.enums.OrderStateEnum; import com.cowr.common.utils.DateTimeUtil; import com.cowr.model.Supermarket; import com.jfinal.plugin.activerecord.Db; import com.jfinal.plugin.activerecord.Record; import java.math.BigDecimal; import java.time.LocalDate; import java.util.*; public class OverallService { public static OverallService me = new OverallService(); /* /overall/stat?token= { "code": 200, "data": { "ordercluster": { "before_month_total_weight": 446.00, // 前月配额重量 "before_day_total_weight": 693.00, // 前日配额重量 "month_total_weight": 7930.00, // 当月配额重量 "day_total_weight": 160.00, // 当日配额重量 "total_weight": 8376.00, // 总配额重量 "month_truck_cnt": 49, // 当月分配车次 "day_truck_cnt": 0, // 当日分配车次 "truck_cnt": 53, // 总分配车次 "before_month_truck_cnt": 4, // 前月分配车次 "before_daytruck__cnt": 0 // 前日分配撤职 ], "by_supermarket": [ { "supermarket_id": 1, "supermarket_name": "竹瓦", "supermarket_name2": "竹瓦", "total_price": 43826.40, // 砂站总销售额 "weight": 486.96, // 砂站总销售重量 "truck_cnt": 18, // 砂站总运输车次 "month_total_price": 43826.40, // 当月砂站总销售额 "month_weight": 486.96, // 当月砂站销售重量 "month_truck_cnt": 18, // 当月砂站运输车次 "day_total_price": 0.00, // 当日砂站销售总额 "day_weight": 0.00, // 当日砂站销售重量 "day_truck_cnt": 0 // 当日砂站运输车次 "before_month_total_price": 0.00, // 前月砂站总销售额 "before_month_weight": 0.00, // 前月砂站总销售重量 "before_month_truck_cnt": 0, // 前月砂站运输车次 "before_day_total_price": 1796.40, // 前日砂站销售总额 "before_day_weight": 19.96, // 前日砂站销售重量 "before_day_truck_cnt": 2, // 前日砂站运输车次 "day_quota_total_price": 253.00, // 当日砂站配额重量 }, ], "by_customer": [ { "total_price": 41310.00, "month_total_price": 41310.00, "before_day_truck_cnt": 0, "month_truck_cnt": 14, "truck_cnt": 14, "day_total_price": 0.00, "weight": 459.00, "before_day_total_price": 0.00, "month_weight": 459.00, "before_month_total_price": 0.00, "before_month_weight": 0.00, "day_weight": 0.00, "before_month_truck_cnt": 0, "customer_name": "零散客户", "before_day_weight": 0.00, "day_truck_cnt": 0 }, { "total_price": 3330.00, "month_total_price": 3330.00, "before_day_truck_cnt": 0, "month_truck_cnt": 1, "truck_cnt": 1, "day_total_price": 0.00, "weight": 37.00, "before_day_total_price": 0.00, "month_weight": 37.00, "before_month_total_price": 0.00, "before_month_weight": 0.00, "day_weight": 0.00, "before_month_truck_cnt": 0, "customer_name": "中铁十六局集团有限公司黄黄高铁项目部(一标)", "customer_id": 8, "before_day_weight": 0.00, "day_truck_cnt": 0 }, { "total_price": 3690.00, "month_total_price": 3690.00, "before_day_truck_cnt": 0, "month_truck_cnt": 3, "truck_cnt": 3, "day_total_price": 0.00, "weight": 41.00, "before_day_total_price": 0.00, "month_weight": 41.00, "before_month_total_price": 0.00, "before_month_weight": 0.00, "day_weight": 0.00, "before_month_truck_cnt": 0, "customer_name": "湖北碁润商砼有限公司", "customer_id": 12, "before_day_weight": 0.00, "day_truck_cnt": 0 } ] } } select count(t.sn) cnt, sum(t.weight) weight, sum(t.total_price) total_price, date_format(t.create_time, '%Y-%m-%d') date from order_temp t where t.state = 5 group by date 首页数据统计 */ public Record stat(Integer supermarket_id) { Record out = new Record(); Date now = new Date(); Calendar c = Calendar.getInstance(); c.setTime(now); c.set(Calendar.HOUR_OF_DAY, 0); c.set(Calendar.MINUTE, 0); c.set(Calendar.SECOND, 0); c.set(Calendar.MILLISECOND, 0); Date day = c.getTime(); // 当日 c.set(Calendar.DAY_OF_MONTH, 1); Date month = c.getTime(); // 当月 c.set(Calendar.MONTH, 0); Date year = c.getTime(); // 当年 int year_total_price = 0; if (2024 == LocalDate.now().getYear()){ // 久联认款1000万中出站销售金额 year_total_price = 1000 * 10000; } c.setTime(now); c.add(Calendar.DAY_OF_MONTH, -1); String nowmonttm = DateTimeUtil.sd.get().format(now); // 当月 String nowdaytm = DateTimeUtil.sdf.get().format(now); // 当日 String predaytm = DateTimeUtil.sdf.get().format(c.getTime()); // 前一日 c.add(Calendar.DAY_OF_MONTH, 1); c.add(Calendar.MONTH, -1); String premonthtm = DateTimeUtil.sd.get().format(c.getTime()); // 前一月 // 参数 List params2 = new ArrayList<>(); String sql_by_customer = "\n" + " select\n" + " t.customer_id,\n" + " ifnull(max(case when t.customer_id is null then null else t.customer_name end), '零散客户') customer_name,\n" + " sum(t.weight) weight,\n" + " sum(t.total_price) total_price,\n" + " count(*) truck_cnt,\n" + " \n" + " ifnull(sum(case when t.create_time like '" + nowmonttm + "%' then t.weight end), 0) month_weight,\n" + " ifnull(sum(case when t.create_time like '" + nowdaytm + "%' then t.weight end), 0) day_weight,\n" + " \n" + " ifnull(sum(case when t.create_time like '" + nowmonttm + "%' then t.total_price end), 0) month_total_price,\n" + " ifnull(sum(case when t.create_time like '" + nowdaytm + "%' then t.total_price end), 0) day_total_price,\n" + " \n" + " count(case when t.create_time like '" + nowmonttm + "%' then t.sn end) month_truck_cnt,\n" + " count(case when t.create_time like '" + nowdaytm + "%' then t.sn end) day_truck_cnt,\n" + " \n" + " ifnull(sum(case when t.create_time like '" + premonthtm + "%' then t.weight end), 0) before_month_weight,\n" + " ifnull(sum(case when t.create_time like '" + predaytm + "%' then t.weight end), 0) before_day_weight,\n" + " \n" + " ifnull(sum(case when t.create_time like '" + premonthtm + "%' then t.total_price end), 0) before_month_total_price,\n" + " ifnull(sum(case when t.create_time like '" + predaytm + "%' then t.total_price end), 0) before_day_total_price,\n" + " \n" + " count(case when t.create_time like '" + premonthtm + "%' then t.sn end) before_month_truck_cnt,\n" + " count(case when t.create_time like '" + predaytm + "%' then t.sn end) before_day_truck_cnt\n" + " from order_temp t\n" + " where t.state = ?\n"; String sql_by_supermarket = " select \n" + " s.id supermarket_id,\n" + " s.name supermarket_name,\n" + " ifnull(s.name2,s.name) supermarket_name2,\n" + " ifnull(a.total_price, 0) total_price,\n" + " ifnull(a.month_total_price, 0) month_total_price,\n" + " ifnull(a.before_day_truck_cnt, 0) before_day_truck_cnt,\n" + " ifnull(a.month_truck_cnt, 0) month_truck_cnt,\n" + " ifnull(a.truck_cnt, 0) truck_cnt,\n" + " ifnull(a.day_total_price, 0) day_total_price,\n" + " ifnull(a.weight, 0) weight,\n" + " ifnull(a.before_day_total_price, 0) before_day_total_price,\n" + " ifnull(a.month_weight, 0) month_weight,\n" + " ifnull(a.before_month_total_price, 0) before_month_total_price,\n" + " ifnull(a.before_month_weight, 0) before_month_weight,\n" + " ifnull(a.day_weight, 0) day_weight,\n" + " ifnull(a.before_month_truck_cnt, 0) before_month_truck_cnt,\n" + " ifnull(a.before_day_weight, 0) before_day_weight,\n" + " ifnull(a.day_truck_cnt, 0) day_truck_cnt" + " from supermarket s\n" + " left join (\n" + " select\n" + " t.supermarket_id,\n" + " sum(t.weight) weight,\n" + " sum(t.total_price) total_price,\n" + " count(*) truck_cnt,\n" + " \n" + " ifnull(sum(case when t.create_time like '" + nowmonttm + "%' then t.weight end), 0) month_weight,\n" + " ifnull(sum(case when t.create_time like '" + nowdaytm + "%' then t.weight end), 0) day_weight,\n" + " \n" + " ifnull(sum(case when t.create_time like '" + nowmonttm + "%' then t.total_price end), 0) month_total_price,\n" + " ifnull(sum(case when t.create_time like '" + nowdaytm + "%' then t.total_price end), 0) day_total_price,\n" + " \n" + " count(case when t.create_time like '" + nowmonttm + "%' then t.sn end) month_truck_cnt,\n" + " count(case when t.create_time like '" + nowdaytm + "%' then t.sn end) day_truck_cnt,\n" + " \n" + " ifnull(sum(case when t.create_time like '" + premonthtm + "%' then t.weight end), 0) before_month_weight,\n" + " ifnull(sum(case when t.create_time like '" + predaytm + "%' then t.weight end), 0) before_day_weight,\n" + " \n" + " ifnull(sum(case when t.create_time like '" + premonthtm + "%' then t.total_price end), 0) before_month_total_price,\n" + " ifnull(sum(case when t.create_time like '" + predaytm + "%' then t.total_price end), 0) before_day_total_price,\n" + " \n" + " count(case when t.create_time like '" + premonthtm + "%' then t.sn end) before_month_truck_cnt,\n" + " count(case when t.create_time like '" + predaytm + "%' then t.sn end) before_day_truck_cnt\n" + " from order_temp t\n" + " where t.state = ?\n"; String sql_ordercluster = "select \n" + " ifnull(sum(g.total_weight), 0) total_weight,\n" + " ifnull(sum(g.total_price), 0) total_price,\n" + " ifnull(sum(g.truck_cnt), 0) truck_cnt,\n" + " ifnull(sum(g.year_total_weight), 0) year_total_weight,\n" + " ifnull(sum(g.year_total_price), 0) + " + year_total_price + " year_total_price,\n" + " ifnull(sum(g.year_truck_cnt), 0) year_truck_cnt,\n" + " ifnull(sum(g.month_total_weight), 0) month_total_weight,\n" + " ifnull(sum(g.month_total_price), 0) month_total_price,\n" + " ifnull(sum(g.month_truck_cnt), 0) month_truck_cnt,\n" + " ifnull(sum(g.day_total_weight), 0) day_total_weight,\n" + " ifnull(sum(g.day_total_price), 0) day_total_price,\n" + " ifnull(sum(g.day_truck_cnt), 0) day_truck_cnt\n" + " from \n" + " (\n" + " select \n" + " ifnull(sum(t.weight), 0) total_weight,\n" + " ifnull( sum( CASE WHEN t.sale_type = 0 THEN t.total_price END ), 0 ) total_price,\n" + " ifnull(sum(t.count), 0) truck_cnt,\n" + " ifnull(sum(case when t.date >= ? then t.weight end ), 0) year_total_weight,\n" + " ifnull(sum(case when t.date >= ? and t.sale_type = 0 then t.total_price end ), 0) year_total_price,\n" + " ifnull(sum(case when t.date >= ? then t.count else 0 end ), 0) year_truck_cnt,\n" + " ifnull(sum(case when t.date >= ? then t.weight end ), 0) month_total_weight,\n" + " ifnull(sum(case when t.date >= ? and t.sale_type = 0 then t.total_price end ), 0) month_total_price,\n" + " ifnull(sum(case when t.date >= ? then t.count else 0 end ), 0) month_truck_cnt,\n" + " ifnull(sum(case when t.date >= ? then t.weight end ), 0) day_total_weight,\n" + " ifnull(sum(case when t.date >= ? and t.sale_type = 0 then t.total_price end ), 0) day_total_price,\n" + " ifnull(sum(case when t.date >= ? then t.count else 0 end ), 0) day_truck_cnt\n" + " from order_end t\n" + " where t.sale_type != 2\n" + " UNION\n" + " select \n" + " 0 total_weight,\n" + " ifnull(sum(p.presell_amount), 0) total_price,\n" + " 0 truck_cnt,\n" + " 0 year_total_weight,\n" + " 0 year_total_price,\n" + " 0 year_truck_cnt,\n" + " 0 month_total_weight,\n" + " 0 month_total_price,\n" + " 0 month_truck_cnt,\n" + " 0 day_total_weight,\n" + " 0 day_total_price,\n" + " 0 day_truck_cnt\n" + " from presell_order p\n" + " where p.del = 0\n" + " ) g"; List by_supermarket_list; if (supermarket_id != null) { sql_ordercluster += " and t.supermarket_id = ? "; sql_by_customer += " and t.supermarket_id = ? "; params2.add(supermarket_id); by_supermarket_list = Db.find(sql_by_supermarket + " and t.supermarket_id = ? " + " group by t.supermarket_id\n" + " ) a on a.supermarket_id = s.id \n" + " where s.id = ? " + "AND s.type = 0" + "", OrderStateEnum.RECEIVED.getStateid(), supermarket_id, supermarket_id); } else { by_supermarket_list = Db.find(sql_by_supermarket + " group by t.supermarket_id\n" + " ) a on a.supermarket_id = s.id" + " where s.type = 0" + "", OrderStateEnum.RECEIVED.getStateid()); } // out.set("by_customer", Db.find(sql_by_customer + " group by t.customer_id", params2.toArray())); out.set("by_supermarket", by_supermarket_list); Record ocout = Db.findFirst(sql_ordercluster, year, year, year, month, month, month, day, day, day); out.set("ordercluster", ocout); return out; } /** * 近 31 日总销售列表 * * @return */ public Collection lastStat() { Date now = new Date(); Calendar c = Calendar.getInstance(); c.setTime(now); c.add(Calendar.DAY_OF_MONTH, -31); c.set(Calendar.HOUR_OF_DAY, 0); c.set(Calendar.MINUTE, 0); c.set(Calendar.SECOND, 0); c.set(Calendar.MILLISECOND, 0); String tm = DateTimeUtil.sdfhms.get().format(c.getTime()); Map map = new HashMap<>(); for (int i = 0; i < 31; i++) { c.add(Calendar.DAY_OF_MONTH, 1); String t = DateTimeUtil.sdf.get().format(c.getTime()); map.put(t, new Record() .set("date", t) .set("cnt", 0) .set("weight", 0) .set("total_price", 0) ); } List list = Db.find("\n" + "select count(t.sn) cnt, sum(t.weight) weight, sum(t.total_price) total_price, date_format(t.create_time, '%Y-%m-%d') date \n" + " from order_temp t\n" + " where t.state = ?\n" + " and t.create_time > ?\n" + " and t.sale_type != 2 \n" + " group by date", OrderStateEnum.RECEIVED.getStateid(), tm); for (Record record : list) { String t = record.get("date"); map.put(t, record); } List outlist = new ArrayList<>(); outlist.addAll(map.values()); outlist.sort(new Comparator() { @Override public int compare(Record o1, Record o2) { String t1 = o1.get("date"); String t2 = o2.get("date"); try { if (DateTimeUtil.sdf.get().parse(t1).after(DateTimeUtil.sdf.get().parse(t2))) { return 1; } else { return -1; } } catch (Exception ignored) { } return 0; } }); return outlist; } /** * 近 31 日砂站总销售列表 * * @return */ public List lastSupermarketStat(int supermarket_id) { Date now = new Date(); Calendar c = Calendar.getInstance(); c.setTime(now); c.add(Calendar.DAY_OF_MONTH, -31); c.set(Calendar.HOUR_OF_DAY, 0); c.set(Calendar.MINUTE, 0); c.set(Calendar.SECOND, 0); c.set(Calendar.MILLISECOND, 0); return Db.find("\n" + "select count(t.sn) cnt, sum(t.weight) weight, sum(t.total_price) total_price, date_format(t.create_time, '%Y-%m-%d') date from order_temp t\n" + "where t.state = ?\n" + "and t.supermarket_id = ?\n" + "and t.create_time >= ?\n" + "group by date", OrderStateEnum.RECEIVED.getStateid(), supermarket_id, DateTimeUtil.sdfhms.get().format(c.getTime())); } /** * 近 31 日客户总销售列表 * * @return */ public List lastCustomerStat(int customer_id) { Date now = new Date(); Calendar c = Calendar.getInstance(); c.setTime(now); c.add(Calendar.DAY_OF_MONTH, -31); c.set(Calendar.HOUR_OF_DAY, 0); c.set(Calendar.MINUTE, 0); c.set(Calendar.SECOND, 0); c.set(Calendar.MILLISECOND, 0); return Db.find("\n" + "select count(t.sn) cnt, sum(t.weight) weight, sum(t.total_price) total_price, date_format(t.create_time, '%Y-%m-%d') date from order_temp t\n" + "where t.state = ?\n" + "and t.customer_id = ?\n" + "and t.create_time >= ?\n" + "group by date", OrderStateEnum.RECEIVED.getStateid(), customer_id, DateTimeUtil.sdfhms.get().format(c.getTime())); } /** * 近 31 日散户总销售列表 * * @return */ public List lastTempStat() { Date now = new Date(); Calendar c = Calendar.getInstance(); c.setTime(now); c.add(Calendar.DAY_OF_MONTH, -31); c.set(Calendar.HOUR_OF_DAY, 0); c.set(Calendar.MINUTE, 0); c.set(Calendar.SECOND, 0); c.set(Calendar.MILLISECOND, 0); return Db.find("\n" + "select count(t.sn) cnt, sum(t.weight) weight, sum(t.total_price) total_price, date_format(t.create_time, '%Y-%m-%d') date from order_temp t\n" + "where t.state = ?\n" + "and t.customer_id is null \n" + "and t.create_time >= ?\n" + "group by date", OrderStateEnum.RECEIVED.getStateid(), DateTimeUtil.sdfhms.get().format(c.getTime())); } /** * 最后 30 天销售记录 * * @param supermarket_id * @return */ public List lastOrder(Integer supermarket_id) { if (supermarket_id != null) { return Db.find("select t.sn, t.customer_id, t.customer_name, t.truck_license, t.weight, t.total_price, t.create_time, t.supermarket_id, s.name supermarket_name \n" + " from order_temp t\n" + " left join supermarket s on s.id = t.supermarket_id\n" + " where t.state = 5 and t.sale_type != 2 \n" + " and t.supermarket_id = ? \n" + " AND t.CREATE_TIME >= CURDATE() - INTERVAL 30 DAY\n" + " AND t.CREATE_TIME < CURDATE()" + " order by t.create_time desc \n" + " limit 30", supermarket_id); } else { return Db.find("select t.sn, t.customer_id, t.customer_name, t.truck_license, t.weight, t.total_price, t.create_time, t.supermarket_id, s.name supermarket_name\n" + " , s.lgtd origin_lgtd, s.lttd origin_lttd\n" + " , ifnull(c.lgtd, " + Const.DEFAULT_LGTD + ") dest_lgtd, ifnull(c.lttd, " + Const.DEFAULT_LTTD + ") dest_lttd\n" + " from order_temp t\n" + " left join supermarket s on s.id = t.supermarket_id\n" + " left join (\n" + " select t.* from customer_receiver t\n" + " left join (\n" + " select t.customer_id, min(t.id) id from customer_receiver t group by t.customer_id\n" + " ) a on a.id = t.id\n" + " where a.id is not null\n" + " ) c on c.customer_id = t.customer_id\n" + " where t.state = 5 and t.sale_type != 2 \n" + " AND t.CREATE_TIME >= CURDATE() - INTERVAL 30 DAY\n" + " AND t.CREATE_TIME < CURDATE()" + " order by t.create_time desc \n" + " limit 30"); } } /* [ { "day_quota_cnt": 1, // 今日有配额的客户数量 "day_weight": 0.20, // 今日完成重量 "name": "固定客户", "cnt": 25, // 固定客户总数 "day_total_price": 18.00, // 今日完成的销售额 "id": 1, // id == 1 是固定客户 "day_quota_weight": 100.00, // 今日配额重量 "day_cnt": 1 // 今日运输车次 }, { "day_quota_cnt": 2, // 今日有配额的客户数量 "day_weight": 0.10, // 今日完成重量 "name": "零散客户", "cnt": 51, // 零散客户总数 "day_total_price": 9.00, // 今日完成的销售额 "id": 2, // id == 2 零散客户 "day_quota_weight": 26.00, // 今日配额重量 "day_cnt": 1 // 今日运输车次 } ] */ public List customerQuota() { Date now = new Date(); String nowdaytm = DateTimeUtil.sdf.get().format(now); // 当日 List outlist = new ArrayList<>(); Record c1 = new Record() .set("id", 1) .set("name", "固定客户") .set("cnt", Db.queryInt("select count(*) cnt from customer")) .set("day_quota_cnt", 0) .set("day_quota_weight", 0) .set("day_cnt", 0) .set("day_weight", 0) .set("day_total_price", 0); Record c2 = new Record() .set("id", 2) .set("name", "零散客户") .set("cnt", Db.queryInt("select count(distinct customer_name) cnt from ordercluster where customer_id is null")) .set("day_quota_cnt", 0) .set("day_quota_weight", 0) .set("day_cnt", 0) .set("day_weight", 0) .set("day_total_price", 0); outlist.add(c1); outlist.add(c2); List data1 = Db.find("select case when t.customer_id is null then 2 else 1 end cid, count(t.id) day_quota_cnt, sum(t.total_weight) day_quota_weight \n" + " from ordercluster t\n" + " where t.state <= 5\n" + " and t.cutoff_time like ?\n" + " group by cid", nowdaytm + "%"); List data2 = Db.find("select case when t.customer_id is null then 2 else 1 end cid, count(t.sn) day_cnt, sum(t.weight) day_weight, sum(total_price) day_total_price \n" + " from order_temp t\n" + " where t.state = 5\n" + // " and t.product_id != 4\n" + " and t.create_time like ?\n" + " group by cid", nowdaytm + "%"); for (Record record : data1) { int cid = record.getInt("cid"); if (cid == 1) { c1.set("day_quota_cnt", record.get("day_quota_cnt")); c1.set("day_quota_weight", record.get("day_quota_weight")); } else if (cid == 2) { c2.set("day_quota_cnt", record.get("day_quota_cnt")); c2.set("day_quota_weight", record.get("day_quota_weight")); } } for (Record record : data2) { int cid = record.getInt("cid"); if (cid == 1) { c1.set("day_cnt", record.get("day_cnt")); c1.set("day_weight", record.get("day_weight")); c1.set("day_total_price", record.get("day_total_price")); } else if (cid == 2) { c2.set("day_cnt", record.get("day_cnt")); c2.set("day_weight", record.get("day_weight")); c2.set("day_total_price", record.get("day_total_price")); } } return outlist; } public List customerQuotaStat() { Date now = new Date(); String nowdaytm = DateTimeUtil.sdf.get().format(now); // 当日 return Db.find("select\n" + " t.* \n" + " , s.lgtd origin_lgtd, s.lttd origin_lttd\n" + " , ifnull(c.lgtd, " + Const.DEFAULT_LGTD + ") dest_lgtd, ifnull(c.lttd, " + Const.DEFAULT_LTTD + ") dest_lttd\n" + " , ifnull(o.cnt, 0) over_cnt\n" + " , ifnull(o.total_weight, 0) over_weight\n" + " , ifnull(o.total_price, 0) over_total_price\n" + " from ordercluster t\n" + " left join supermarket s on s.id = t.supermarket_id\n" + " left join (\n" + " select t.* from customer_receiver t\n" + " left join (\n" + " select t.customer_id, min(t.id) id from customer_receiver t group by t.customer_id\n" + " ) a on a.id = t.id\n" + " where a.id is not null\n" + " ) c on c.customer_id = t.customer_id\n" + " left join (\n" + " select t.ordercluster_id, count(t.sn) cnt, sum(t.weight) total_weight, sum(t.total_price) total_price from order_temp t\n" + " where t.state = 5\n" + " and t.create_time like ?\n" + " group by t.ordercluster_id\n" + " ) o on o.ordercluster_id = t.id\n" + " where t.state <= 5\n" + " and t.cutoff_time like ? ", nowdaytm + "%", nowdaytm + "%"); } /** * 超市环比 * * @return */ public Record supermarketQoQ() { Date now = new Date(); Calendar c = Calendar.getInstance(); c.setTime(now); c.add(Calendar.DAY_OF_YEAR, -1); c.set(Calendar.HOUR_OF_DAY, 0); c.set(Calendar.MINUTE, 0); c.set(Calendar.SECOND, 0); c.set(Calendar.MILLISECOND, 0); String start = DateTimeUtil.sdf.get().format(c.getTime()); c.add(Calendar.DAY_OF_YEAR, -8); String end = DateTimeUtil.sdf.get().format(c.getTime()); String[] ds = new String[]{start, end}; List ss = Supermarket.dao.find("select * from supermarket where type = 0"); // List ss = Supermarket.dao.find("select * from supermarket where del = 0 AND type = 0"); List list = Db.find("select date_format(t.create_time, '%Y-%m-%d') date, count(t.sn) total_cnt, sum(t.weight) total_weight, sum(t.total_price) total_price, t.supermarket_id id\n" + " from order_temp t\n" + " where t.create_time like ?\n" + " or t.create_time like ?\n" + " group by t.supermarket_id, date", start + "%", end + "%"); Map map = new HashMap<>(); for (Record record : list) { String date = record.getStr("date"); String sid = record.getStr("id"); map.put(date + "_" + sid, record); } for (Supermarket supermarket : ss) { for (String t : ds) { String key = t + "_" + supermarket.getId(); if (!map.containsKey(key)) { Record newobj = new Record() .set("id", supermarket.getId()) .set("name", supermarket.getName()) .set("date", t) .set("total_cnt", 0) .set("total_weight", 0) .set("total_price", 0); list.add(newobj); map.put(key, newobj); } else { map.get(key).set("name", supermarket.getName()); } } } Record out = new Record(); List slist = new ArrayList<>(); for (Supermarket supermarket : ss) { String skey = ds[0] + "_" + supermarket.getId(); String ekey = ds[1] + "_" + supermarket.getId(); Record sval = map.get(skey); Record eval = map.get(ekey); BigDecimal s_total_cnt = sval.getBigDecimal("total_cnt"); BigDecimal e_total_cnt = eval.getBigDecimal("total_cnt"); BigDecimal s_total_weight = sval.getBigDecimal("total_weight"); BigDecimal e_total_weight = eval.getBigDecimal("total_weight"); BigDecimal s_total_price = sval.getBigDecimal("total_price"); BigDecimal e_total_price = eval.getBigDecimal("total_price"); slist.add( new Record() .set("id", supermarket.getId()) .set("name", supermarket.getName()) .set("total_cnt_ratio", e_total_cnt.doubleValue() == 0 ? 0 : s_total_cnt.subtract(e_total_cnt).divide(e_total_cnt, 4, BigDecimal.ROUND_HALF_UP)) .set("total_weight_ratio", e_total_weight.doubleValue() == 0 ? 0 : s_total_weight.subtract(e_total_weight).divide(e_total_weight, 4, BigDecimal.ROUND_HALF_UP)) .set("total_price_ratio", e_total_price.doubleValue() == 0 ? 0 : s_total_price.subtract(e_total_price).divide(e_total_price, 4, BigDecimal.ROUND_HALF_UP)) ); } out.set("list", slist); out.set("date", ds); return out; } }