将以下文本转换为excel格式 `id` Id `row_no` `opportunity_line_id` RowNo__c `guaranteed_delivery_date` `sap_materiel_no2` `product_name` `product_series` `product_module` `quantity` -- 合同头相关字段 Contract__r `contract_id` Contract__r.Id `contract_no` Contract__r.Contract_No__c `opportunity_id` Contract__r.Project__c `region_name_en` `contract_custom` Contract__r.Account_Name__c `contract_trade_term` Contract__r.Trade_Term__c `contract_seller` Contract__r.Seller__c `contract_signed_status` Contract__r.Stage__c `contract_signed_date` Contract__r.New_Counter_Signed_Date__c `owner_id` Contract__r.OwnerId `owner_name` `inventory_type` Contract__r.Inventory_Type__c `record_type` Contract__r.RecordType.Name `destination_port` `destination_country` `sales_type` -- MDA相关字段->MDA__r `mda_id` `connector` `frame_size` `cable_length` `frame_color` ‘IsDeleted’

将以下文本转换为excel格式 id Id row_no opportunity_line_id RowNo__c guaranteed_delivery_date sap_materiel_no2 product_name product_series product_module quantity -- 合同头相关字段 Contract__r contract_id Contract__r.Id contract_no Contract__r.Contract_No__c opportunity_id Contractr.Projectc region_name_en contract_custom Contract__r.Account_Name__c contract_trade_term Contract__r.Trade_Term__c contract_seller Contractr.Sellerc contract_signed_status Contractr.Stagec contract_signed_date Contract__r.New_Counter_Signed_Date__c owner_id Contract__r.OwnerId owner_name inventory_type Contract__r.Inventory_Type__c record_type Contract__r.RecordType.Name destination_port destination_country sales_type -- MDA相关字段->MDA__r mda_id connector frame_size cable_length frame_color ‘IsDeleted’

将以下文本转换为excel格式 id Id row_no RowNo__c opportunity_product_name Name opportunity_id leanxProjectc product_id Product__c product_name Product_Name__c sales_price Sales_Price__c product_series Product_Series__c product_module Product_Modulec quantity Quantityc power Power_W__c sap_materiel_no2 SAP_Materiel_No__c guaranteed_delivery_date Guaranteed_Delivery_Datec -- Opportunity头信息 leanxProject__r owner_id OwnerId owner_name inventory_type Inventory_Type__c record_type RecordType -> Name sales_type opportunity_custom region_name_en destination_port trade_term opportunity_name destination_country product_seller -- MDA相关字段 mda_id connector frame_size cable_length frame_color ‘IsDeleted’

将以下文本转换为excel格式 id Id row_no opportunity_line_id RowNo__c guaranteed_delivery_date sap_materiel_no2 product_name product_series product_module quantity -- 合同头相关字段 Contract__r contract_id Contract__r.Id contract_no Contract__r.Contract_No__c opportunity_id Contractr.Projectc region_name_en contract_custom Contract__r.Account_Name__c contract_trade_term Contract__r.Trade_Term__c contract_seller Contractr.Sellerc contract_signed_status Contractr.Stagec contract_signed_date Contract__r.New_Counter_Signed_Date__c owner_id Contract__r.OwnerId owner_name inventory_type Contract__r.Inventory_Type__c record_type Contract__r.RecordType.Name destination_port destination_country sales_type -- MDA相关字段->MDA__r mda_id connector frame_size cable_length frame_color ‘IsDeleted’

将以下文本转换为csv格式： id Id row_no opportunity_line_id RowNo__c guaranteed_delivery_date sap_materiel_no2 product_name product_series product_module quantity 合同头相关字段 Contract__r contract_id Contract__r.Id contract_no Contract__r.Contract_No__c opportunity_id Contractr.Projectc region_name_en contract_custom Contract__r.Account_Name__c contract_trade_term Contract__r.Trade_Term__c contract_seller Contractr.Sellerc contract_signed_status Contractr.Stagec contract_signed_date Contract__r.New_Counter_Signed_Date__c owner_id Contract__r.OwnerId owner_name inventory_type Contract__r.Inventory_Type__c record_type Contract__r.RecordType.Name destination_port destination_country sales_type MDA相关字段 MDA__r mda_id connector frame_size cable_length frame_color ‘IsDeleted’

id,row_no,opportunity_line_id,guaranteed_delivery_date,sap_materiel_no2,product_name,product_series,product_module,quantity,合同头相关字段.Contract__r.contract_id,合同头相关字段.Contract__r.contract_...

将以下文本转换为文本的表格格式，转换为两行： id Id row_no opportunity_line_id RowNo__c guaranteed_delivery_date sap_materiel_no2 product_name product_series product_module quantity 合同头相关字段 Contract__r contract_id Contract__r.Id contract_no Contract__r.Contract_No__c opportunity_id Contractr.Projectc region_name_en contract_custom Contract__r.Account_Name__c contract_trade_term Contract__r.Trade_Term__c contract_seller Contractr.Sellerc contract_signed_status Contractr.Stagec contract_signed_date Contract__r.New_Counter_Signed_Date__c owner_id Contract__r.OwnerId owner_name inventory_type Contract__r.Inventory_Type__c record_type Contract__r.RecordType.Name destination_port destination_country sales_type MDA相关字段 MDA__r mda_id connector frame_size cable_length frame_color ‘IsDeleted’

| id | row_no | opportunity_line_id | guaranteed_delivery_date | sap_materiel_no2 | product_name | product_series | product_module | quantity | |----------------------------|--------------------------...

将以下文本转换为文本的表格格式： id Id row_no opportunity_line_id RowNo__c guaranteed_delivery_date sap_materiel_no2 product_name product_series product_module quantity -- 合同头相关字段 Contract__r contract_id Contract__r.Id contract_no Contract__r.Contract_No__c opportunity_id Contractr.Projectc region_name_en contract_custom Contract__r.Account_Name__c contract_trade_term Contract__r.Trade_Term__c contract_seller Contractr.Sellerc contract_signed_status Contractr.Stagec contract_signed_date Contract__r.New_Counter_Signed_Date__c owner_id Contract__r.OwnerId owner_name inventory_type Contract__r.Inventory_Type__c record_type Contract__r.RecordType.Name destination_port destination_country sales_type -- MDA相关字段->MDA__r mda_id connector frame_size cable_length frame_color ‘IsDeleted’

将以下两列的文本转换为两行的文本表格格式： id Id row_no opportunity_line_id RowNo__c guaranteed_delivery_date sap_materiel_no2 product_name product_series product_module quantity 合同头相关字段 Contract__r contract_id Contract__r.Id contract_no Contract__r.Contract_No__c opportunity_id Contractr.Projectc region_name_en contract_custom Contract__r.Account_Name__c contract_trade_term Contract__r.Trade_Term__c contract_seller Contractr.Sellerc contract_signed_status Contractr.Stagec contract_signed_date Contract__r.New_Counter_Signed_Date__c owner_id Contract__r.OwnerId owner_name inventory_type Contract__r.Inventory_Type__c record_type Contract__r.RecordType.Name destination_port destination_country sales_type MDA相关字段 MDA__r mda_id connector frame_size cable_length frame_color IsDeleted

DECLARE @dimension_ID int = 1; DECLARE @dimension_Content nvarchar(50); WHILE @dimension_ID <= (SELECT MAX([ID]) FROM [AP_Inventory].[dbo].[MD_Variation_Dimension]) BEGIN SET @dimension_Content = (SELECT [Dimension] FROM [AP_Inventory].[dbo].[MD_Variation_Dimension] WHERE [ID] = @dimension_ID); EXEC(' SELECT a.[CompanyCtry], a.[SBU], a.'+@dimension_Content+', a.[Inv_CM], b.[Inv_LM], ROW_NUMBER() OVER ( PARTITION BY a.[CompanyCtry], a.[SBU] ORDER BY ABS(a.[Inv_CM] - b.[Inv_LM]) DESC ) as RowNo INTO [AP_Inventory].[dbo].[Temp_vs_CY_LM] FROM ( SELECT [CompanyCtry], [SBU_2023] as [SBU], '+@dimension_Content+', SUM([TotalInv_EUR]) as [Inv_CM] FROM [AP_Inventory].[dbo].[Inv_Details_for_PowerBI] WHERE DATEDIFF(MONTH, DATEFROMPARTS([ReportYear], [ReportMonth], 1), GETDATE()) = 1 and [StockCategory] <> ''Vendor Consignment'' and '+@dimension_Content+' is not null GROUP BY [CompanyCtry], [SBU_2023], '+@dimension_Content+' ) as a, ( SELECT [CompanyCtry], [SBU_2023] as [SBU], '+@dimension_Content+', SUM([TotalInv_EUR]) as [Inv_LM] FROM [AP_Inventory].[dbo].[Inv_Details_for_PowerBI] WHERE DATEDIFF(MONTH, DATEFROMPARTS([ReportYear], [ReportMonth], 1), GETDATE()) = 2 and [StockCategory] <> ''Vendor Consignment'' and '+@dimension_Content+' is not null GROUP BY [CompanyCtry], [SBU_2023], '+@dimension_Content+' ) as b WHERE a.[CompanyCtry] = b.[CompanyCtry] and a.[SBU] = b.[SBU] and a.'+@dimension_Content+' = b.'+@dimension_Content+' ') EXEC(' UPDATE a SET a.[vs_CY_LM_Content] = b.'+@dimension_Content+', a.[vs_CY_LM_Content_Qty] = b.[Inv_CM], a.[vs_CY_LM_Delta_Qty] = b.[Inv_CM] - b.[Inv_LM] FROM [AP_Inventory].[dbo].[Calculate_Top_Variation_V4] as a, [AP_Inventory].[dbo].[Temp_vs_CY_LM] as b WHERE a.[Organization] = b.[CompanyCtry] and a.[SBU] = b.[SBU] and a.[Dimension] = '''+@dimension_Content+''' and a.[vs_CY_LM_Rank] = b.[RowNo] and DATEDIFF(MONTH, DATEFROMPARTS(a.[Report_Year], a.[Report_Month], 1), GETDATE()) = 1; '); DROP TABLE [AP_Inventory].[dbo].[Temp_vs_CY_LM]; SET @dimension_ID = @dimension_ID + 1; 在这段代码里面exec函数有什么意义呢，并且一整段函数有什么意义。

使用EXEC函数可以将字符串作为SQL语句执行，从而实现动态生成和执行SQL语句。整个代码段的意义是根据不同的维度（Dimension）计算出与上个月（LM）相比的差值，并更新到目标表中。代码中的循环用于遍历每个维度，...

轻巧React迷你图组件 @rowno/sparkline 使用示例

使用命令yarn add @rowno/sparkline或npm install --save @rowno/sparkline可以将该库添加到React项目中。 4. 组件使用示例提供的代码示例展示了一个名为Spark的React函数组件。在该组件内定义了lines数组...

result= [ {rowNo: "R001", columnValueList:[{ C001: null }, { C002: "123" }] }] const sheetId=[{name:'C101',id:'C101-JBQKTJB'},{name:'C201',id:'C201-ZCFZTJB'},{name:'C202',id:'C202-JYDSTJB'},{name:'C203',id:'C203-LRTJB'}, {name:'C30701',id:'C30701-ZYYWFJYDSTJB'},{name:'C30702',id:'C30702-ZYYWBDTJB'},{name:'C30703',id:'C30703-YWFDQTJB'},{name:'C30704',id:'C30704-RZTXTJB'}, {name:'C30705',id:'C30705-YWSGJGTJB'},{name:'C407',id:'C407-HYFXTJB'},{name:'C408',id:'C408-ZCFZSYQXTJB'},{name:'C409',id:'C409-SDKHJZDTJB'}, {name:'C410',id:'C410-ZDWJGLFTJB'},{name:'A001',id:'A001-JGXXHZB'},{name:'A002',id:'A002-JDJGXXB'},{name:'A003',id:'A003-SJJHB'},{name:'A004',id:'A004-SJTJB'}]这两个数组对象转为[{"reportNo": "C101-JBQKTJB", "rowValueList": [{ "rowNo": "R001", "columnValueList": [{ "C001": "123" }, { "C002": "456" }] }, { "rowNo": "R002", "columnValueList": [{ "C001": "433124" }, { "C002": "451234126" }] } ] }]这种JSON格式

你可以使用以下代码实现将result和sheetId转换为所需的JSON格式： python output = [] for item in sheetId: reportNo = item['id'] rowValueList = [] for row in result: rowNo = row['rowNo'] ...

SELECT a.[Sub-Region], a.[SBU], a.[CompanyCtry], a.[Inv_CM], b.[Inv_LM], ROW_NUMBER() OVER ( PARTITION BY a.[Sub-Region], a.[SBU] ORDER BY ABS(a.[Inv_CM] - b.[Inv_LM]) DESC ) as RowNo INTO [AP_Inventory].[dbo].[Temp_vs_CY_LM] FROM ( SELECT [Sub-Region], [SBU_2023] as [SBU], [CompanyCtry], SUM([TotalInv_EUR]) as [Inv_CM] FROM [AP_Inventory].[dbo].[Inv_Details_for_PowerBI] WHERE DATEDIFF(MONTH, DATEFROMPARTS([ReportYear], [ReportMonth], 1), GETDATE()) = 1 and [StockCategory] <> 'Vendor Consignment' and [CompanyCtry] is not null GROUP BY [Sub-Region], [SBU_2023], [CompanyCtry] ) as a, ( SELECT [Sub-Region], [SBU_2023] as [SBU], [CompanyCtry], SUM([TotalInv_EUR]) as [Inv_LM] FROM [AP_Inventory].[dbo].[Inv_Details_for_PowerBI] WHERE DATEDIFF(MONTH, DATEFROMPARTS([ReportYear], [ReportMonth], 1), GETDATE()) = 2 and [StockCategory] <> 'Vendor Consignment' and [CompanyCtry] is not null GROUP BY [Sub-Region], [SBU_2023], [CompanyCtry] ) as b WHERE a.[Sub-Region] = b.[Sub-Region] and a.[SBU] = b.[SBU] and a.[CompanyCtry] = b.[CompanyCtry]; GO UPDATE a SET a.[vs_CY_LM_Content] = b.[CompanyCtry], a.[vs_CY_LM_Content_Qty] = b.[Inv_CM], a.[vs_CY_LM_Delta_Qty] = b.[Inv_CM] - b.[Inv_LM] FROM [AP_Inventory].[dbo].[Calculate_Top_Variation_V4] as a, [AP_Inventory].[dbo].[Temp_vs_CY_LM] as b WHERE a.[Organization] = b.[Sub-Region] and a.[SBU] = b.[SBU] and a.[Dimension] = '[Country]' and a.[vs_CY_LM_Rank] = b.[RowNo] and DATEDIFF(MONTH, DATEFROMPARTS(a.[Report_Year], a.[Report_Month], 1), GETDATE()) = 1; GO DROP TABLE [AP_Inventory].[dbo].[Temp_vs_CY_LM]; GO

然后，使用 ROW_NUMBER 函数为每个组合计算一个排序号（RowNo），排序规则是根据当前月份库存量与上个月份库存量之差的绝对值进行排序。接下来，将计算结果插入到临时表 [AP_Inventory].[dbo].[Temp_vs_CY_LM] 中...

{"total":0,"rows":[{"ROWNO":"1","家庭ID":"134116"}]} C++正则表达式取rows值

以下是使用 C++ 正则表达式取 rows 值的示例代码： c++ #include #include #include int main() { std::string input = R"({"total":0,"rows":[{"ROWNO":...输出结果为 [{"ROWNO":"1","家庭ID":"134116"}]。

javascript怎么将[{"reportNo":"C101-JBQKTJB","rowValueList":[{"columnValueList":[{"C001":"苏州资产管理有限公司"}],"rowNo":"R001"},{"columnValueList":[{"C001":"91320500MA1ML9WL32"}],"rowNo":"R002"},{"columnValueList":[{"C001":"苏州高新区邓尉路105号"}],"rowNo":"R003"},{"columnValueList":[{"C001":"320505"}],"rowNo":"R004"},{"columnValueList":[{"C001":"苏州高新区邓尉路105号"}],"rowNo":"R005"},{"columnValueList":[{"C001":"地方资产管理公司"}],"rowNo":"R006"},{"columnValueList":[{"C001":"110 国有控股"}],"rowNo":"R007"},{"columnValueList":[{"C001":63}],"rowNo":"R008"},{"columnValueList":[{"C001":0}],"rowNo":"R009"},{"columnValueList":[{"C001":5}],"rowNo":"R010"},{"columnValueList":[{"C001":2676090.86}],"rowNo":"R011"},{"columnValueList":[{"C001":1960314.72}],"rowNo":"R012"},{"columnValueList":[{"C001":572000}],"rowNo":"R013"},{"columnValueList":[{"C001":572000}],"rowNo":"R014"},{"columnValueList":[{"C001":"苏州市财政局"}],"rowNo":"R015"},{"columnValueList":[{"C001":22.5}],"rowNo":"R016"},{"columnValueList":[{"C001":"东吴创新资本管理有限责任公司"}],"rowNo":"R017"},{"columnValueList":[{"C001":12}],"rowNo":"R018"},{"columnValueList":[{"C001":"东吴证券股份有限公司"}],"rowNo":"R019"},{"columnValueList":[{"C001":8}],"rowNo":"R020"},{"columnValueList":[{"C001":"苏州国际发展集团有限公司"}],"rowNo":"R021"},{"columnValueList":[{"C001":7.5}],"rowNo":"R022"},{"columnValueList":[{"C001":"苏州工业园区经济发展有限公司"}],"rowNo":"R023"},{"columnValueList":[{"C001":7.5}],"rowNo":"R024"},{"columnValueList":[{"C001":"李瑞良"}],"rowNo":"R025"},{"columnValueList":[{"C001":"18625272017"}],"rowNo":"R026"},{"columnValueList":[{"C001":"马静"}],"rowNo":"R027"},{"columnValueList":[{"C001":"68786950"}],"rowNo":"R028"}],"reportType":"0","informMonth":"2023-05"}这里的"informMonth"排到最前面，reportType排到informMonth后面

假设这个数组是存储在变量data中的，你可以按照以下方式进行排序： javascript data.sort((a, b) => { if (a.informMonth ) { return -1; } if (a.informMonth > b.informMonth) { return 1; } if (a....

rowNo = isSubList() ? (i > 1 ? rowNo + 1 : rowNo + i) : i + 1 + rownum - startNo;将这个嵌套的三元运算提取到一个独立的语句中。

可以将嵌套的三元运算提取到一个独立的语句中，如下所示： java if (isSubList()) { if (i > 1) { rowNo = rowNo + 1; } else { rowNo = rowNo + i; } } else { rowNo = i + 1 + rownum - startNo; } ...

oracle rowno 相同的内容序号不变

你可以使用Oracle中的DENSE_RANK函数来实现。DENSE_RANK函数可以为每个分组内的行分配一个唯一的排名值，而不会跳过排名值。...最终的结果集将包含原始列以及一个名为rank的新列，其中包含分配给每行的排名值。

{ columnName: "C001", rowName: "R001", value: null }讲这种数组转成{ "rowNo": "R001", "columnValueList": [{ "C001": "123" }, { "C002": "456" }] }, { "rowNo": "R002", "columnValueList": [{ "C001": "433124" }, { "C002": "451234126" }]这种json格式

可以使用以下代码将给定的数组转换为所需的JSON格式： javascript const input = [ { columnName: "C001", rowName: "R001", value: null }, { columnName: "C002", rowName: "R001", value: "123" }, { ...

编写一个servlet，在servlet中查询goods表中的记录，并在showMoveGoods.jsp页面中逆序显示偶数行的记录。在本例中需要使用实体类goods，但需要为Goods添加一个属性rowno封装行号。

首先，我们需要编写一个servlet，查询goods表中的记录，并为每一行添加一个rowno属性封装行号： import java.io.IOException; import java.sql.Connection; import java.sql.PreparedStatement; import java....

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{"total":0,"rows":[{"ROWNO":"1","家庭ID":"134116"}]} C++正则表达式取rows值

rowNo = isSubList() ? (i > 1 ? rowNo + 1 : rowNo + i) : i + 1 + rownum - startNo;将这个嵌套的三元运算提取到一个独立的语句中。

oracle rowno 相同的内容序号不变

{ columnName: "C001", rowName: "R001", value: null }讲这种数组转成{ "rowNo": "R001", "columnValueList": [{ "C001": "123" }, { "C002": "456" }] }, { "rowNo": "R002", "columnValueList": [{ "C001": "433124" }, { "C002": "451234126" }]这种json格式

编写一个servlet，在servlet中查询goods表中的记录，并在showMoveGoods.jsp页面中逆序显示偶数行的记录。在本例中需要使用实体类goods，但需要为Goods添加一个属性rowno封装行号。

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