SELECT settlement_date settlementDate, unique_identification uniqueIdentification, batch_id batchId, participant_id participantId, participant_name participantName, participant_type participantType, participant_code participantCode, administrative, credit_code creditCode, solidify_type solidifyType, involved_power_grid involvedPowerGrid, nature_enterprise natureEnterprise, phone, company_phone companyPhone, bank, account_name accountName, account, status, enter_time enterTime, left_time leftTime, is_market isMarket, participant_area_code participantAreaCode, trading_industry_type tradingIndustryType, enterprise_type enterpriseType, market_id marketId, mkt_account_number mktAccountNumber, mkt_account_name mktAccountName, gdj, city_burean cityBurean, ele_address eleAddress, account_voltage accountVoltage, electricity_type electricityType, file_update_time fileUpdateTime, industry_type industryType, hi_energy_consumption hiEnergyConsumption, installed_capacity installedCapacity, run_cap runCap, temporary_electric_flag temporaryElectricFlag, account_area_code accountAreaCode, account_status accountStatus, account_runstatus accountRunstatus, meter_id meterId, meter_code meterCode, meter_name meterName, meter_credit_code meterCreditCode, sbs_account_number sbsAccountNumber, sbs_account_name sbsAccountName, meter_area_code meterAreaCode, meter_status meterStatus, meter_runstatus meterRunstatus, meter_voltage meterVoltage, meter_electricity_type meterElectricityType, push_status pushStatus FROM mm_user_participant_day_hn where settlement_date Between '2023-04-01' and '2023-04-31' AND (solidify_type = '02' or solidify_type = '03');帮我优化一下性能

录像24_internal Order Settlement.exe

录像25_internal order settlement2.exe

SELECT sample_id, item_id, test_id, report_no, report_id, sample_mass, batch_number, customer_name, customer_id, sample_name, sample_no, factory_number, test_quantity, total_fee, inspection_type, factory, receivable_fee, compile_user_name, compile_time, order_no, audit_user_name, audit_time, pass_user_name, pass_time, standard_instrument_name, test_date, item_state, print_count, generate_time, is_print, report_state, final_fee, node_name, report_id, test_result, test_address, bas_item_id, charges_number, price_id, item_ids, settlement_state, item_name, sample_remark, order_remark, group_name, group_id, test_rule, test_standard, group_name, receive_user_name, query_code, commission_date, invoice_title, product_type, clarity, labor_cost, label_price, precious_metal FROM view_sample_info 根据 report_no 进行排序不需要加cast

settlement_state, item_name, sample_remark, order_remark, group_name, group_id, test_rule, test_standard, group_name, receive_user_name, query_code, commission_date, invoice_title, ...

SELECT bs.sample_id, bs.item_id, bs.report_id, bs.order_no, bs.order_id, bs.order_business_type, bs.commission_date, bs.customer_name, bs.applicant, bs.phone, bs.receive_user_name, bs.contract_no, bs.special_requirements, bs.report_org_name, bs.report_org_address, bs.sample_name, bs.standard_instrument_name, bs.complete_day, bs.sample_remark AS remark, bs.standard_instrument_id, bs.sample_no, bs.factory_number, bs.item_name, /bs.item_quantity,/ bs.inspection_type, bs.mandatory_flag, bs.test_quantity, bs.sample_state, bs.current_site, bs.plan_complete_date, bs.affix, bs.ranges, bs.grade, bs.factory, bs.calibrat_point, bs.apply_dept, bs.specification, bs.final_fee, bs.service_type, CASE WHEN bs.actual_complete_date IS NOT NULL THEN DATEDIFF( bs.plan_complete_date, bs.actual_complete_date ) ELSE datediff( bs.plan_complete_date, now()) END AS surplus_days, bs.report_no, bs.is_report_back, bs.back_reason AS report_back_reason, bs.is_just_certificate, bs.report_state, bs.temper, bs.humidity, bs.test_result, bs.test_date, bs.next_test_date, bs.test_cycle, bs.test_address, bs.generate_time, bs.point_report_id, bs.is_merge, bs.circulation_flag, bs.item_proposal_fee AS proposal_fee, bs.change_price_reason, bs.test_user_name, bs.group_id, bs.group_name, bs.charging_num, bs.other_fee, bs.receivable_fee, bs.affix_quantity, bs.test_org, bs.out_org_order_no, bs.out_org_sample_no, bs.business_user_name, bs.pdf_path, bs.settlement_state, bs.result_describe, bsa.attach_id FROM view_sample_info bs JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_attr bsa ON sa.id = bsa.id 根据bs.commission_date 进行排序最近的排上面 bs.commission_date

bs.settlement_state, bs.result_describe, bsa.attach_id FROM view_sample_info bs JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_...

查询返回的数据需要插入到jxbivtob_settlement_fundsettlementdays这个表中，用这个字段值datatypeconfig_colname里的数据来对应jxbivtob_settlement_fundsettlementdays表中列名，而且查询返回的数据datavalue_colvalue是每16行的数据是jxbivtob_settlement_fundsettlementdays的一行数据，用Java程序实现这个需求，Sql写在mapper映射文件里

这样，你就可以通过调用 insertData 方法来实现将查询返回的数据插入到 jxbivtob_settlement_fundsettlementdays 表中，并且根据 datatypeconfig_colname 字段值来对应列名。同时，注意在配置文件中正确设置...

<select id="getdatatypeconfig" parameterType="java.util.HashMap" resultType="java.util.HashMap"> SELECT [datatypeconfig_colname] ,[datatypeconfig_strtype] ,[datatypeconfig_strlen] ,[datatypeconfig_strdecimal] ,[datatypeconfig_order] ,[datatypeconfig_remark] ,b.datavalue_colvalue AS datavalue FROM [JxBivAppUserDB].[dbo].[jxbivtob_settlement_datatypeconfig] a LEFT JOIN [JxBivAppUserDB].[dbo].[jxbivtob_settlement_datavalue] b ON a.datatype_id=b.datatype_id AND a.datatypeconfig_id=b.datatypeconfig_id WHERE b.datafile_id=(SELECT TOP (1) [datafile_id] FROM [JxBivAppUserDB].[dbo].[jxbivtob_settlement_datafile] WHERE datatype_id=9 ORDER BY datafile_id DESC) AND b.datatype_id=(SELECT TOP (1) datatype_id FROM [JxBivAppUserDB].[dbo].[jxbivtob_settlement_datafile] WHERE datatype_id=9 ORDER BY datafile_id DESC) </select> <insert id="insert_fundsettlementdays" parameterType="java.util.HashMap"> INSERT INTO [JxBivAppUserDB].[dbo].[jxbivtob_settlement_fundsettlementdays] (${columnNames}) VALUES (${columnValues}) </insert>public Map<String,Object> insert_fundsettlementdays(HttpServletRequest request, HttpServletResponse response){ response.setCharacterEncoding("UTF-8"); Map<String,Object> map =new HashMap<>(); List<HashMap> datatypeList=userDao.selectList("basessm.mapper.fundsettlementdays.getdatatypeconfig"); if (datatypeList == null || datatypeList.isEmpty()) { // 处理查询结果为空的情况 map.put("info", "No data available"); return map; } HashMap hashMap =new HashMap(); userDao.insert("basessm.mapper.fundsettlementdays.insert_fundsettlementdays",hashMap); map.put("info", "success"); return map; }根据我的SQL语句和方法来完成需求

WHERE b.datafile_id = (SELECT TOP 1 [datafile_id] FROM [JxBivAppUserDB].[dbo].[jxbivtob_settlement_datafile] WHERE datatype_id = #{datatypeId} ORDER BY datafile_id DESC) AND b.datatype_id = (SELECT ...

sql需要查询表中的asset_short_name,issuer_short_name,asset_code,TOTAL_ISSUED,next_call_day,maturity_date, 先根据issuer_short_name进行分组,分组之后组内再根据asset_code分组,将asset_code相同记录的settlement_nominal进行相加

SELECT issuer_short_name, asset_code, SUM(settlement_nominal) AS total_settlement_nominal FROM your_table_name GROUP BY issuer_short_name, asset_code 这样可以先按照issuer_short_name和asset_code...

使用sql查询先根据issuer_short_name进行分组,分组之后组内再根据asset_code分组,将asset_code相同记录的settlement_nominal进行相加同时查出asset_short_name,issuer_short_name,asset_code,TOTAL_ISSUED,next_call_day,maturity_date字段的数据

SELECT asset_short_name, issuer_short_name, asset_code, TOTAL_ISSUED, next_call_day, maturity_date, SUM(settlement_nominal) AS total_settlement_nominal FROM your_table_name GROUP BY issuer_short_name,...

select * from t_fund_settlement where order_type = #{orderType} order by bill_date_time desc

这段代码是一个简单的数据库查询语句，用于从表t_fund_settlement中选择基金结算记录。它只有一个条件，即订单类型等于#{orderType}，并按照bill_date_time字段进行降序排序。这段代码的目的是根据给定的订单类型...

优化 sql : SELECT /aggregation_path_type=single_agg/ company_code, company_name, sale_id, sale_name, round(sum(checkin_uv), 2) AS peopleSum, round(sum(cash_pay), 2) AS cashPay, round(sum(account_pay), 2) AS accountPay, round(sum(salecard_pay), 2) AS saleCardPay, round(sum(online_pay), 2) AS onlinePay, round(sum(pay_amount_final), 2) AS payAmount, round(sum(total_original_price), 2) AS originalPrice, CASE WHEN sum(total_original_price) = 0 THEN 0 ELSE Round( sum(pay_amount_final) / sum(total_original_price) * 100, 2 ) END AS discount, CASE WHEN sum(checkin_uv) = 0 THEN 0 ELSE Round(sum(pay_amount_final) / sum(checkin_uv), 2) END AS priceAvg, round(SUM(settlement_pice_exclude_add), 2) AS saleExcludeAdd, round(SUM(original_pice_exclude_add), 2) AS originalExcludeAdd, CASE WHEN sum(total_original_price) = 0 THEN 0 ELSE Round( ( SUM(settlement_pice_exclude_add) / sum(total_original_price) * 100 ), 2 ) END AS excludeAddDis, CASE WHEN sum(checkin_uv) = 0 THEN 0 ELSE Round( SUM(settlement_pice_exclude_add) / sum(checkin_uv), 2 ) END AS excludeAddPriceAvg FROM salesman_confim_revenue_v2 WHERE sale_region_code = '8' and DATE_FORMAT(checkin_time, '%Y-%m-%d') >= DATE_FORMAT('2023-04-01', '%Y-%m-%d') and DATE_FORMAT(checkin_time, '%Y-%m-%d') <= DATE_FORMAT('2023-05-22', '%Y-%m-%d') GROUP BY company_code, sale_id ORDER BY company_code DESC

2. 使用 BETWEEN 代替两个 DATE_FORMAT：可以将 DATE_FORMAT(checkin_time, '%Y-%m-%d') >= DATE_FORMAT('2023-04-01', '%Y-%m-%d') 和 DATE_FORMAT(checkin_time, '%Y-%m-%d') <= DATE_FORMAT('2023-05-22', '%Y...

<if test="dto.payType != null"> ( select DISTINCT(o.id) , o.status, o.pay_status, o.is_practice, o.order_no, o.shop_id, o.create_time, o.phone_number, o.member_name_code, o.sys_user_id, o.net_retail_amount , o.total_point, o.total_amount, o.total_retail_amount from po_order o left join po_order_pay pay on o.id = pay.po_order_id and pay.receipt_type != 2 AND pay.po_order_id IS NOT NULL AND pay.is_valid = 1 AND pay_type = #{dto.payType} LEFT JOIN po_payment_order paym on o.id = paym.po_order_id AND paym.po_order_id IS NOT NULL <if test="dto.payType == 1"> AND paym.settlement_type = 2 </if> <if test="dto.payType == 5"> AND paym.settlement_type = 1 </if> <if test="dto.payType != 1 and dto.payType != 5"> AND 1=2 </if> where pay.id is not null or paym.id is not null ) </if>

查询的表为 po_order，关联了 po_order_pay 和 po_payment_order 表，根据这些表中的字段进行联合查询，返回结果包括 o.id、o.status、o.pay_status、o.is_practice、o.order_no、o.shop_id、o.create_time、o.phone...

优化这条sql: SELECT /aggregation_path_type=single_agg/ company_code, company_name, sale_id, sale_name, round(sum(checkin_uv), 2) AS peopleSum, round(sum(cash_pay), 2) AS cashPay, round(sum(account_pay), 2) AS accountPay, round(sum(salecard_pay), 2) AS saleCardPay, round(sum(online_pay), 2) AS onlinePay, round(sum(pay_amount_final), 2) AS payAmount, round(sum(total_original_price), 2) AS originalPrice, CASE WHEN sum(total_original_price) = 0 THEN 0 ELSE Round( sum(pay_amount_final) / sum(total_original_price) * 100, 2 ) END AS discount, CASE WHEN sum(checkin_uv) = 0 THEN 0 ELSE Round(sum(pay_amount_final) / sum(checkin_uv), 2) END AS priceAvg, round(SUM(settlement_pice_exclude_add), 2) AS saleExcludeAdd, round(SUM(original_pice_exclude_add), 2) AS originalExcludeAdd, CASE WHEN sum(total_original_price) = 0 THEN 0 ELSE Round( ( SUM(settlement_pice_exclude_add) / sum(total_original_price) * 100 ), 2 ) END AS excludeAddDis, CASE WHEN sum(checkin_uv) = 0 THEN 0 ELSE Round( SUM(settlement_pice_exclude_add) / sum(checkin_uv), 2 ) END AS excludeAddPriceAvg FROM salesman_confim_revenue_v2 WHERE sale_region_code = '8' GROUP BY company_code, sale_id ORDER BY company_code DESC

SUM(settlement_pice_exclude_add) AS settlement_pice_exclude_add_sum, SUM(original_pice_exclude_add) AS original_pice_exclude_add_sum FROM salesman_confim_revenue_v2 WHERE sale_region_code ...

<if test="dto.payType == 5"> AND paym.settlement_type = 1 </if> <if test="dto.payType != 1 and dto.payType != 5"> AND 1=2 </if> WHERE pay.id is not null or paym.id is not null

第一个 IF 判断语句的条件是 "dto.payType == 5"，表示如果 dto 对象中的 payType 属性值等于 5，那么查询结果中的 paym.settlement_type 属性值必须等于 1。第二个 IF 判断语句的条件是 "dto.payType != 1 and dto....

<select id="selectFundSettlementList" parameterType="FundSettlementEntity" resultMap="FundSettlementResult"> select * from t_fund_settlement <where> <if test="orderType != null and orderType != ''"> <if test="orderType=='other'"> and order_type not in ("issue_ticket","return_ticket","rebook_ticket") </if> <if test="orderType=='issue_ticket' or orderType=='return_ticket' or orderType=='rebook_ticket'"> and order_type = #{orderType} </if> </if> </where> order by bill_date_time desc </select>

这段代码是一个数据库查询语句的映射配置，用于根据条件从表t_fund_settlement中选择基金结算记录。它使用了MyBatis的动态SQL功能来根据不同的条件生成不同的查询语句。在标签中，它首先检查订单类型是否不为空且...

SELECT fs.id AS fundId, temp.id AS ticketId FROM t_fund_settlement fs, (SELECT order_no, id, SUM(receivables) AS receivables FROM t_ticket WHERE order_type = 'issue_ticket' and fund_verification_status <![CDATA[ <> ]]> 1 GROUP BY id, order_no) temp where fs.order_type = 'issue_ticket' AND fs.order_no = temp.order_no AND fs.amount = temp.receivables and fs.verification_status <![CDATA[ <> ]]> 1 and fs.platform <![CDATA[ <> ]]> 'XC' UNION SELECT fs.id AS fundId, t.id AS ticketId FROM t_fund_settlement fs, t_ticket t where fs.order_type = 'issue_ticket' AND fs.amount = t.receivables and t.ticket_no_operate = fs.ticket_no and fs.verification_status <![CDATA[ <> ]]> 1 and t.fund_verification_status <![CDATA[ <> ]]> 1 and fs.platform = 'XC' LIMIT #{page} , 1000

然后，根据订单号和ID进行分组，并计算receivables字段的总和。这个子查询的结果被命名为temp。第一个查询中的主查询部分通过连接t_fund_settlement和temp表来检索基金与票据的信息。它使用了多个条件来匹配订单...

query1 := a.Ts.Table("business_settlement_profit as a"). Select(ifnull(sum(CASE WHEN b.asid=a.link_id and a.user_type=? then b.sum_order_amt else 0 end),0) as sum_pay_amt, ifnull(sum(CASE WHEN b.asid=a.link_id and a.user_type=? then 1 else 0 end),0) as order_sum, ifnull(sum(CASE WHEN a.stmt_status=1 THEN a.profit ELSE 0 END), 0.00) as sum_profit, ifnull(sum(CASE WHEN a.stmt_status=0 and b.asid=a.link_id and a.user_type=? THEN a.pay_amt+b.sum_order_amt ELSE 0 END), 0.00) as ret_pay_amt, model.USER_TYPE_SUPPLIER_AGENT, model.USER_TYPE_SUPPLIER_AGENT, model.USER_TYPE_SUPPLIER_AGENT). Joins("inner join business_settlement as b on a.bsid=b.bsid"). Where("a.link_id=? and a.user_type=?", a.Token.LinkId, a.Token.UserType)

它从名为business_settlement_profit的表中选择了一些字段，并根据特定条件进行了一些计算。以下是对代码的解释： go query1 := a.Ts.Table("business_settlement_profit as a"). Select(ifnull(sum(CASE ...

SyntaxError: Non-ASCII character '\xe5' in file settlement_platform\controller\test01.py on line 10, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details

这个错误是因为你的Python源文件中包含了非ASCII字符，但是没有指定文件的编码格式。在Python2中，默认编码格式为ASCII，所以如果源文件中包含了非ASCII字符，就需要在文件的第一行添加如下注释来指定编码格式： ...

SELECT sum(t.pay_amount)+sum(t.promotion_amount)+SUM(t.author_coupon_subsidy)+SUM(t.actual_zt_pay_promotion)+SUM(t.actual_zr_pay_promotion)+SUM(t.refund_amount)+SUM(t.jylp_wp_amount)+SUM(t.post_amount)+SUM(t.promotion_amount_yf) as 'b_amount',\n" + "SUM(t.platform_service_fee)+SUM(t.commission)+SUM(t.channel_fee)+SUM(t.colonel_service_fee)+SUM(t.channel_promotion_fee)+SUM(t.other_sharing_amount)+SUM(t.yfx_amount)+SUM(t.jylp_yp_amount) as 's_amount'\n" + "from dy_settlement_push_input t where t.deleted = '0'

这是一条 SQL 查询语句，目的是查询 dy_settlement_push_input 表中满足条件（deleted = '0'）的记录中，各种金额字段的总和。具体来说，该语句计算了以下金额： 1. pay_amount：支付金额 2. promotion_amount：...

- You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'ssb_summary AS ( SELECT partner_id, SUM(actual_amount) AS 销售额, SUM(refu' at line 1

SUM(settlement_amount) AS 结算金额, (SUM(amount)-SUM(point_fee)-SUM(refund_amount))-(SUM(cost)-SUM(refund_good_cost))-SUM(refund_good_cost)*0.4-SUM(cooperation_fee)-(SUM(amount)-SUM(point_fee))*0.06...

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录像24_internal Order Settlement.exe

录像25_internal order settlement2.exe

sql需要查询表中的asset_short_name,issuer_short_name,asset_code,TOTAL_ISSUED,next_call_day,maturity_date, 先根据issuer_short_name进行分组,分组之后组内再根据asset_code分组,将asset_code相同记录的settlement_nominal进行相加

使用sql查询 先根据issuer_short_name进行分组,分组之后组内再根据asset_code分组,将asset_code相同记录的settlement_nominal进行相加 同时查出asset_short_name,issuer_short_name,asset_code,TOTAL_ISSUED,next_call_day,maturity_date字段的数据

select * from t_fund_settlement where order_type = #{orderType} order by bill_date_time desc

<if test="dto.payType == 5"> AND paym.settlement_type = 1 </if> <if test="dto.payType != 1 and dto.payType != 5"> AND 1=2 </if> WHERE pay.id is not null or paym.id is not null

SyntaxError: Non-ASCII character '\xe5' in file settlement_platform\controller\test01.py on line 10, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details

- You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'ssb_summary AS ( SELECT partner_id, SUM(actual_amount) AS 销售额, SUM(refu' at line 1

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使用sql查询先根据issuer_short_name进行分组,分组之后组内再根据asset_code分组,将asset_code相同记录的settlement_nominal进行相加同时查出asset_short_name,issuer_short_name,asset_code,TOTAL_ISSUED,next_call_day,maturity_date字段的数据