ERROR 1292 (22007): Incorrect datetime value: '' for column 'end_date' at row 1

mysql使用load data infile出现如下错误:

root@NoName 21:35:44> load data infile '/company.csv'  into table  company CHARACTER SET utf8 fields terminated by ',' optionally enclosed by '"' escaped by '"' 

    -> (src_company_id,company_name,province,start_date,econ_kind,oper_name,raw_regist_capi,regist_capi,

regist_capi_desc,cur_type,regist_no,credit_code,org_no,address,scope,term_start,term_end,belong_org,

check_date,end_date,status,is_listed,is_NEEQ,is_expired,main_category,big_category,src_created_date,

src_updated_date)

    -> ;
ERROR 1292 (22007): Incorrect datetime value: '' for column 'end_date' at row 1


这里的原因在于,end_date这个字段在csv文件中是空值。如果表中对应的字段允许为空的话,就可以按照下面的方式处理:注意上色的。

load data infile '/company.csv'  into table  company CHARACTER SET utf8 fields terminated by ',' optionally enclosed by '"' escaped by '"' 
(src_company_id,company_name,province,start_date,econ_kind,oper_name,raw_regist_capi,regist_capi,

regist_capi_desc,cur_type,regist_no,credit_code,org_no,address,scope,term_start,term_end,belong_org,

check_date,@end_date1,status,is_listed,is_NEEQ,is_expired,main_category,big_category,

src_created_date,src_updated_date)

set end_date=if(@end_date1='',NULL,  @end_date1);

条件组合MySQL数据库密码是220603,我提供一个excel文档,我可以将这个文档进行导入到我的HTML页面里面的导入按钮,端口号为5008 导入功能:店铺管理(添加,修改,删除店铺的功能),通过输入店铺码和店铺名称来添加,添加完成之后会有一个进行导入店铺数据功能,这个就通过一个选择文件(如excel和csv),我认为在MySQL数据库里面创建表太麻烦了,只想创建一个数据库名字为shop_order,然后根据导入文件的第一行的所有表名字作为关键字创建所对应的MySQL表放在shop——oeder下面(如将Paid Time自动识别为DATETIME类型),切记这个关键字就是导入文档表的第一行,并且下面都是该关键字所对应的所有数据,由于我所做的系统需要导入三个文档,所以要设置三个导入数据的按钮,分别为All order,in come,creater order这三个表所对应了所有订单数据,收入订单数据和达人订单数据(也就是通过达人带货卖出去的订单)。 查询功能:在导入需要的数据之后,我们需要进行数据查询,目前先通过店铺码和店铺名称查询店铺,查询成功后进入店铺,这个时候我们需要再查询店铺的数据,这个时候就需要通过查询我们目前需要的数据,有最开始得到的关键字:Order ID,Paid Time(付款时间),还要给这个数据排列,也就是在这两个查询数据前面还需要建立一个Shop ID作为编号如01,02,03等等,查询后显示的完整数据的是[Shop ID:Order ID,Paid Time],实现上面功能还不够,我希望还可以增加一个时间查询也就是可以输入某个时间段到某个时间段来进行查询这段时间所有订单的数据,列如Start time[年月日]——End timr[年月日],这个时间查询是通过最开始得到的关键字里面的Paid Time所对应的时间数据("10/07/2025 10:24:31 " )来决定,因为不是每个订单号Order ID都会被进行付款(paid_time),我们只需要提前这个付款时间不需要其他时间,所以只需要查询有paid_time的Order ID并且提取出来即可,若没有paid_time数据就直接跳过放弃,继续查询有paid_time的数据订单即可,根据以上要求给出这个项目的开发教程,要求保姆级教程,再说一遍,在里面必须有可以导入excel和csv文档的功能,并且是点击导入数据就可以在我的电脑里面查找选择文档。要注意下面几个问题,第一:日期时间列识别问题:系统错误地将非日期列(如 Order_Status、Quantity)识别为日期列,日期转换失败率高(如 Created_Time 只有33.4%的转换成功率),错误提示:列 XXX 保持原样: 日期格式识别率低 (0.0%)原因是:仅通过列名关键词(如包含"time")判断是否为日期列,缺乏数据内容验证,未排除明确非日期列的字段(如状态、数量、金额等),未处理多种日期格式(如 10/07/2023 10:24:31 和 2023-07-10T15:45:00),一定要增强列识别逻辑,还有多格式日期解析和分阶段验证。 第二:数据类型推断错误:避免数值列(如 Quantity)被误识别为日期,数据库插入时报错:Incorrect datetime value: '579567909575820736' for column 'Order ID',原因是因为类型推断仅基于列名,未结合数据内容,未处理大整数和特殊格式数字。所以要设置一个优先级调整和安全转换。 第三:数据库交互问题,特别是RuntimeError: The session is unavailable because no secret key was set,事务回滚失败导致表残留,数据类型不匹配(如DATETIME和VARCHAR冲突)原因是Flask会话密钥未配置未正确处理MySQL错误代码(如1292=日期格式错误)和表结构创建与数据插入逻辑分离。所以要做到基础配置和事务管理和原子性操作这三个方面。 第四:前端模板渲染问题: 问题表现: jinja2.exceptions.TemplateNotFound jinja2.exceptions.UndefinedError: 'dict object' has no attribute 'id' JavaScript中 const report = {{ date_report|tojson|safe }} 报错 根本原因: 模板文件未放在正确目录(templates/),变量未定义或为None时直接调用方法,未处理JSON序列化中的None值,解决方案:设置目录结构规范和安全变量访问以及默认值处理。 第五: 文件上传与数据处理问题: 问题表现: 上传的Excel/CSV文件解析失败 临时文件未清理 列名含空格导致SQL错误 根本原因: 未验证文件内容格式 未处理文件编码问题(如UTF-8 vs GBK) 未规范化列名(如 Paid Time → Paid_Time) 解决方案:设置文件预处理和资源清理和编码指定。 第六:分页与性能问题: 问题表现: 大数据量查询时内存溢出 分页逻辑错误(LIMIT/OFFSET计算) 解决方案:设置流式查询和分页优化。 最后做一些优化比如:系统架构改进建议 日志监控: python代码: app.logger.addHandler(logging.FileHandler('import_errors.log')) 配置分离: python代码: class DevelopmentConfig(Config): DEBUG = True UPLOAD_FOLDER = '/tmp/uploads' 单元测试: python代码: def test_datetime_detection(): assert is_potential_datetime_column("Paid_Time", pd.Series(["2023-01-01"])) is True 根据上面所有要求和问题还有解决方法制定一个Python电商数据分析系统教程,要求保姆级教程!!!请仔细分析我给出的所有问题并且一一解决生成一个完整教程,要求准确并且代码质量高可以运行
07-15
if OBJECT_ID('tempdb..#temp') is not null drop table #temp; declare @domain smallint; select @domain=domain from domain where current_flag=1; DECLARE @stone_places INT; SELECT @stone_places = CAST(value AS INT) FROM ops_default WHERE comp_code = 56 AND code = 6; DECLARE @total INT; CREATE TABLE #temp ( domain smallint, comp_code smallint, order_no int, sub_order_no smallint, job_order_no smallint, split_order_no smallint, dec_stock_type INT, batch_no int, dec_date DATETIME, qty INT, total_weight DECIMAL(18, 4), export_amount MONEY, total_labour MONEY, total_labour_USD MONEY, total_labour_CNY MONEY, receive_district SMALLINT, receive_district_desc NVARCHAR(50), ver_no SMALLINT, adding_labour_cost MONEY, adding_labour_cost_USD MONEY, adding_labour_cost_CNY MONEY, export_amount_HKD MONEY, export_amount_CNY MONEY, total int, aes_export_amount MONEY, aes_mark_good_value MONEY, other_accessory_export_amount MONEY, export_amount_sum MONEY, gold_export_amount MONEY, sync_flag int, last_sync_date datetime, last_sync_by varchar(10) ); insert into #temp(domain,comp_code , order_no , sub_order_no , job_order_no , split_order_no , dec_date,receive_district,ver_no, adding_labour_cost,total_labour,qty,dec_stock_type,batch_no,receive_district_desc,sync_flag,last_sync_date,last_sync_by,total_weight) select @domain,comp_code , order_no , sub_order_no , job_order_no , split_order_no , dec_date,rd.receive_district,ver_no, adding_labour_cost,total_labour,qty,dec_stock_type,batch_no,rd.description as receive_district_desc,sync_flag,last_sync_date,last_sync_by, ROUND(gold_weight + accessories_weight + other_accessories_weight, 2) from customs_master cm left join receive_district rd on cm.receive_district = rd.receive_district WHERE cm.info_number = '' and synchro_mid_flag = 1 and comp_code = 56 ; UPDATE t SET adding_labour_cost_USD = ROUND(adding_labour_cost * rate_value_us, 2), total_labour_USD = ROUND(total_labour * rate_value_us, 2) from #temp t inner join rate r on r.date_from <= t.dec_date AND r.date_to >= t.dec_date; UPDATE t SET adding_labour_cost_CNY = ROUND(adding_labour_cost_USD * rate_value_cn, 2), total_labour_CNY = ROUND(total_labour_USD * rate_value_cn, 2) from #temp t inner join rate r on r.date_from <= t.dec_date AND r.date_to >= t.dec_date; UPDATE #temp SET gold_export_amount =gold_result.gold_export_amount FROM #temp AS temp INNER JOIN ( select [domain],[comp_code],[order_no],[sub_order_no],[job_order_no],[split_order_no],[batch_no], sum(gold_export_amount) as gold_export_amount from (SELECT #temp.[domain], #temp.[comp_code], #temp.[order_no], #temp.[sub_order_no], #temp.[job_order_no], #temp.[split_order_no], #temp.[batch_no], dec_gold_accessories.dec_gold_no , ROUND( ROUND( SUM( CASE WHEN ISNULL(dec_stock_type_ref.gold_loss_rate, 0) = 1 THEN 0 ELSE dec_gold_accessories.gold_weight / (1 - ISNULL(dec_stock_type_ref.gold_loss_rate, 0)) END ), 4 )* dec_gold_accessories.dec_unit_price,2) AS gold_export_amount FROM #temp INNER JOIN dbo.dec_stock_type ON dec_stock_type.dec_stock_type = #temp.dec_stock_type INNER JOIN dbo.dec_hk_stock_type ON dec_hk_stock_type.dec_hk_stock_type = dec_stock_type.dec_hk_stock_type INNER JOIN dbo.dec_gold_accessories ON dec_gold_accessories.domain = #temp.domain AND dec_gold_accessories.comp_code = #temp.comp_code AND dec_gold_accessories.order_no = #temp.order_no AND dec_gold_accessories.sub_order_no = #temp.sub_order_no AND dec_gold_accessories.job_order_no = #temp.job_order_no AND dec_gold_accessories.split_order_no = #temp.split_order_no AND dec_gold_accessories.batch_no = #temp.batch_no LEFT JOIN dbo.product_gold_type ON dec_gold_accessories.dec_gold_no = product_gold_type.gold_type AND gold_group2 <> '0' LEFT JOIN dbo.dec_stock_type_ref ON dec_stock_type_ref.dec_stock_type = #temp.dec_stock_type AND dec_stock_type_ref.dec_gold_no = dec_gold_accessories.dec_gold_no GROUP BY #temp.[domain], #temp.[comp_code], #temp.[order_no], #temp.[sub_order_no], #temp.[job_order_no], #temp.[split_order_no], #temp.[batch_no], dec_gold_accessories.dec_gold_no,dec_gold_accessories.dec_unit_price ) AS gold_detail_result group by [domain],[comp_code],[order_no],[sub_order_no],[job_order_no],[split_order_no],[batch_no] ) AS gold_result ON temp.[domain] = gold_result.[domain] AND temp.[comp_code] = gold_result.[comp_code] AND temp.[order_no] = gold_result.[order_no] AND temp.[sub_order_no] = gold_result.[sub_order_no] AND temp.[job_order_no] = gold_result.[job_order_no] AND temp.[split_order_no] = gold_result.[split_order_no] AND temp.[batch_no] = gold_result.[batch_no]; IF OBJECT_ID('tempdb..#temp_accessories') IS NOT NULL DROP TABLE #temp_accessories; SELECT a.*, CAST(0 AS SMALLINT) AS dec_item_type, itm.item_type, single_wgt = ROUND( a.weight / (CASE (a.qty * a.packing_qty) WHEN 0 THEN 1 ELSE (a.qty * a.packing_qty) END ), @stone_places ) INTO #temp_accessories FROM #temp AS temp INNER JOIN dbo.accessories AS a ON temp.domain = a.domain AND temp.comp_code = a.comp_code AND temp.order_no = a.order_no AND temp.sub_order_no = a.sub_order_no AND temp.job_order_no = a.job_order_no AND temp.split_order_no = a.split_order_no AND a.cancel_flag = 0 LEFT JOIN item_code_master itm ON a.item_code = itm.item_code; UPDATE #temp_accessories SET dec_item_type = ditr.dec_item_type FROM #temp_accessories aes INNER JOIN dec_item_type_ref ditr ON aes.item_code = ditr.item_code WHERE aes.item_type <> 'A'; UPDATE #temp_accessories SET dec_item_type = ditr.dec_item_type FROM #temp_accessories aes INNER JOIN dec_item_type_ref ditr ON aes.item_code = ditr.item_code AND single_wgt <= ditr.max_wgt AND single_wgt >= ditr.min_wgt WHERE aes.item_type = 'A'; UPDATE #temp SET aes_mark_good_value = aes_result.aes_mark_good_value, aes_export_amount = round(aes_result.aes_export_amount,2) FROM #temp AS temp INNER JOIN (select [domain],[comp_code],[order_no],[sub_order_no],[job_order_no],[split_order_no],[batch_no], sum(aes_export_amount) as aes_export_amount,SUM(cost) AS aes_mark_good_value from (SELECT #temp.[domain], #temp.[comp_code], #temp.[order_no], #temp.[sub_order_no], #temp.[job_order_no], #temp.[split_order_no], #temp.[batch_no], dec_item_type_ref.dec_item_type, ROUND(ROUND(SUM(a.weight * convert_weight_times),4) * dec_item_type.dec_unit_price,2) AS aes_export_amount, SUM(cost) AS cost FROM #temp INNER JOIN dbo.dec_stock_type ON dec_stock_type.dec_stock_type = #temp.dec_stock_type INNER JOIN dbo.dec_hk_stock_type ON dec_hk_stock_type.dec_hk_stock_type = dec_stock_type.dec_hk_stock_type INNER JOIN #temp_accessories AS a ON #temp.domain = a.domain AND #temp.order_no = a.order_no AND #temp.sub_order_no = a.sub_order_no AND #temp.job_order_no = a.job_order_no AND #temp.split_order_no = a.split_order_no AND a.cancel_flag = 0 LEFT JOIN dbo.item_code_master AS icm ON icm.item_code = a.item_code LEFT JOIN dbo.dec_item_type_ref ON dec_item_type_ref.item_code = a.item_code and ( round(a.weight/(case (a.qty*a.packing_qty) when 0 then 1 else (a.qty*a.packing_qty) end ), icm.decimal_place) <= case when icm.item_type='A' then dec_item_type_ref.max_wgt end or dec_item_type_ref.max_wgt = case when icm.item_type <> 'A' then dec_item_type_ref.max_wgt end ) and ( round(a.weight/(case (a.qty*a.packing_qty) when 0 then 1 else (a.qty*a.packing_qty) end ), icm.decimal_place) >= case when icm.item_type='A' then dec_item_type_ref.min_wgt end or dec_item_type_ref.min_wgt = case when icm.item_type <> 'A' then dec_item_type_ref.min_wgt end ) LEFT JOIN dbo.dec_item_type ON dec_item_type.dec_item_type = dec_item_type_ref.dec_item_type GROUP BY #temp.[domain], #temp.[comp_code], #temp.[order_no], #temp.[sub_order_no], #temp.[job_order_no], #temp.[split_order_no], #temp.[batch_no], dec_item_type.dec_unit_price,dec_item_type_ref.dec_item_type )AS aes_Detail_Result group by [domain],[comp_code],[order_no],[sub_order_no],[job_order_no],[split_order_no],[batch_no] ) AS aes_result ON temp.[domain] = aes_result.[domain] AND temp.[comp_code] = aes_result.[comp_code] AND temp.[order_no] = aes_result.[order_no] AND temp.[sub_order_no] = aes_result.[sub_order_no] AND temp.[job_order_no] = aes_result.[job_order_no] AND temp.[split_order_no] = aes_result.[split_order_no] AND temp.[batch_no] = aes_result.[batch_no]; UPDATE #temp SET other_accessory_export_amount = other_accessory_result.other_accessory_export_amount FROM #temp AS temp INNER JOIN (select [domain],[comp_code],[order_no],[sub_order_no],[job_order_no],[split_order_no],[batch_no], sum(other_accessory_export_amount) as other_accessory_export_amount, sum(other_accessory_mark_good_value) as other_accessory_mark_good_value from ( SELECT #temp.[domain], #temp.[comp_code], #temp.[order_no], #temp.[sub_order_no], #temp.[job_order_no], #temp.[split_order_no], #temp.[batch_no], dec_other_accessory.other_type, ROUND(SUM(dec_other_accessory.weight * other_type.dec_unit_price), 2) AS other_accessory_export_amount, ROUND(SUM(dec_other_accessory.weight * other_type.dec_unit_price), 2) AS other_accessory_mark_good_value FROM #temp INNER JOIN dbo.dec_stock_type ON dec_stock_type.dec_stock_type = #temp.dec_stock_type INNER JOIN dbo.dec_hk_stock_type ON dec_hk_stock_type.dec_hk_stock_type = dec_stock_type.dec_hk_stock_type INNER JOIN dbo.dec_other_accessory ON dec_other_accessory.domain = #temp.domain AND dec_other_accessory.comp_code = #temp.comp_code AND dec_other_accessory.order_no = #temp.order_no AND dec_other_accessory.sub_order_no = #temp.sub_order_no AND dec_other_accessory.job_order_no = #temp.job_order_no AND dec_other_accessory.split_order_no = #temp.split_order_no AND dec_other_accessory.batch_no = #temp.batch_no LEFT JOIN dbo.other_type ON other_type.other_type = dec_other_accessory.other_type GROUP BY #temp.[domain], #temp.[comp_code], #temp.[order_no], #temp.[sub_order_no], #temp.[job_order_no], #temp.[split_order_no], #temp.[batch_no], dec_other_accessory.other_type )AS other_accessory_detail_result group by [domain],[comp_code],[order_no],[sub_order_no],[job_order_no],[split_order_no],[batch_no] ) AS other_accessory_result ON temp.[domain] = other_accessory_result.[domain] AND temp.[comp_code] = other_accessory_result.[comp_code] AND temp.[order_no] = other_accessory_result.[order_no] AND temp.[sub_order_no] = other_accessory_result.[sub_order_no] AND temp.[job_order_no] = other_accessory_result.[job_order_no] AND temp.[split_order_no] = other_accessory_result.[split_order_no] AND temp.[batch_no] = other_accessory_result.[batch_no]; UPDATE #temp SET export_amount_sum = t.export_amount_sum from #temp inner join ( select (SUM(total_labour_USD) + SUM(adding_labour_cost_USD) + SUM(gold_export_amount) + SUM(aes_export_amount) + SUM(other_accessory_export_amount)) as export_amount_sum, comp_code,order_no,sub_order_no,job_order_no,split_order_no,batch_no from #temp group by comp_code,order_no,sub_order_no,job_order_no,split_order_no,batch_no ) as t on #temp.comp_code = t.comp_code and #temp.order_no = t.order_no and #temp.sub_order_no = t.sub_order_no and #temp.job_order_no = t.job_order_no and #temp.split_order_no = t.split_order_no and #temp.batch_no = t.batch_no; WITH GroupedData AS ( select dec_date , ver_no , receive_district , receive_district_desc , rtrim(last_sync_by) AS last_sync_by, last_sync_date, fr.flag_desc_cn as syncFlagDesc, sum(qty) OVER(PARTITION BY dec_date, ver_no,receive_district) as qty , sum(adding_labour_cost) OVER(PARTITION BY dec_date, ver_no,receive_district) as adding_labour_cost , sum(total_labour) OVER(PARTITION BY dec_date, ver_no,receive_district) as total_labour , sum(total_weight) OVER(PARTITION BY dec_date, ver_no,receive_district) as total_weight , sum(total_labour_USD) OVER(PARTITION BY dec_date, ver_no,receive_district) as total_labour_USD , sum(total_labour_CNY) OVER(PARTITION BY dec_date, ver_no,receive_district) as total_labour_CNY , sum(adding_labour_cost_USD) OVER(PARTITION BY dec_date, ver_no,receive_district) as adding_labour_cost_USD , sum(adding_labour_cost_CNY) OVER(PARTITION BY dec_date, ver_no,receive_district) as adding_labour_cost_CNY , sum(export_amount_sum) OVER(PARTITION BY dec_date, ver_no,receive_district) as export_amount_sum , COUNT(*) OVER(PARTITION BY dec_date, ver_no,receive_district) AS total, min(sync_flag) OVER(PARTITION BY dec_date, ver_no,receive_district) as sync_flag, ROW_NUMBER() OVER( PARTITION BY dec_date, ver_no,receive_district ORDER BY last_sync_date DESC ) AS time_rank from #temp t inner join flag_reference fr on fr.flag_id = t.sync_flag and fr.flag_group = 'sync_flag' ) select dec_date , ver_no , receive_district , receive_district_desc , last_sync_by, syncFlagDesc, qty , adding_labour_cost , total_labour , total_weight , total_labour_USD , total_labour_CNY , adding_labour_cost_USD , adding_labour_cost_CNY , export_amount_sum , total, sync_flag, last_sync_date from GroupedData where time_rank = 1 OFFSET 0 ROWS FETCH NEXT 100 ROWS ONLY ; if OBJECT_ID('tempdb..#temp') is not null drop table #temp;sqlserver 会报什么错
最新发布
08-10
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