Linux环境下模拟银行开户系统的实现

版权申诉
0 下载量 83 浏览量 更新于2024-10-17 收藏 5KB GZ 举报
资源摘要信息: "bank.tar.gz_bank linux" 根据提供的文件信息,我们可以推断出该资源是一个模拟银行开户系统的Linux软件包。以下是基于文件的标题、描述和标签以及压缩包文件名称列表所涉及的知识点。 1. Linux系统环境 - Linux是一个开源的操作系统,广泛应用于服务器、桌面和嵌入式设备。它以高安全性、稳定性以及灵活性而闻名。 - 针对银行开户系统,Linux能够提供安全稳定的操作环境,适合用于处理大量数据和交易。 2. 模拟银行开户系统 - 模拟银行开户系统是一个仿真的银行软件应用,用于模拟真实世界中银行的开户流程。 - 此类系统通常包含用户界面、数据库管理、账户管理、安全性验证等模块。 3. 开户操作 - 开户操作涉及用户身份验证、填写开户资料、创建账户记录等一系列步骤。 - 在模拟系统中,可能包括身份信息录入、账户类型选择、初始存款、账户密码设置等环节。 4. 文件压缩包格式 - ".tar.gz"是Linux下常用的文件压缩格式,其中".tar"表示归档文件,".gz"表示使用gzip算法进行压缩。 - 解压缩此类文件通常使用Linux命令行工具tar配合gzip命令,例如使用"tar -zxvf bank.tar.gz"进行解压。 5. 文件名称"bank只能开户版" - 从文件名中可以推断该版本的系统可能功能有限,仅支持开户操作,而不包含其他如转账、查询等银行服务。 - 这可能是一个简化版本的银行系统,适合初学者学习和理解银行系统的基本构成。 6. 开发与维护 - 该系统可能使用了如C/C++、Java、Python等编程语言开发,这些语言在Linux平台下有良好的支持。 - 为了保证系统的安全性,可能还会包含数据加密、安全协议等高级功能。 7. 系统测试 - 在Linux环境中,可以利用不同的测试工具和框架进行模拟银行系统的测试,以确保开户流程的正确性和安全性。 - 包括单元测试、集成测试和压力测试等。 8. 部署与运维 - 此类系统在部署后需要进行定期的运维工作,包括系统升级、故障排查、性能监控等。 - Linux系统通常拥有丰富的运维工具和日志管理系统,能够帮助管理员高效地完成这些工作。 综上所述,文件中的"bank.tar.gz_bank linux"是一个模拟银行开户操作的Linux软件包,具有简化功能,适合作为教学或入门实践的资源。在Linux系统中使用.tar.gz格式打包,便于进行存储和传输。通过相关的编程知识、测试方法以及运维技能,用户可以搭建、测试并维护该银行开户系统。

将下面这条sql语句简化一下:SELECT * FROM ( SELECT fpd.fpd_id AS fpdId, fpd.fpd_budget_project AS fpdBudgetProject, fpd.fpd_budget_project_id AS fpdBudgetProjectId, fpd.fpd_pf_name AS fpdPfName, fpd.fpd_pf_id AS fpdPfId, fpd.fpd_expend_subject AS fpdExpendSubject, fpd.fpd_expend_subject_id AS fpdExpendSubjectId, fpd.fpd_payee_name AS fpdPayeeName, fpd.fpd_payee_account AS fpdPayeeAccount, fpd.fpd_payee_opening_bank AS fpdPayeeOpeningBank, fpd.fpd_payee_opening_bank_num AS fpdPayeeOpeningBankNum, fpd.fpd_dept_pay_economics_classify_num AS fpdDeptPayEconomicsClassifyNum, fpd.fpd_dept_pay_economics_classify_name AS fpdDeptPayEconomicsClassifyName, fpd.fpd_applied_amount AS fpdAppliedAmount, fpd.fpd_capital_use AS fpdCapitalUse, fpd.fpd_postscript AS fpdPostscript, fpd.fpd_budget_item_name AS fpdBudgetItemName, fpd.fpd_budget_item_number AS fpdBudgetItemNumber, fpd.fpd_dr_name AS fpdDrName, dbec.dbec_parent_num AS dbecParentNum FROM financial_payment_details fpd LEFT JOIN dept_budget_economy_class dbec ON fpd.fpd_dept_pay_economics_classify_num = dbec.dbec_num WHERE fpd.fpd_is_tax = "0" UNION ALL SELECT fpd.fpd_id AS fpdId, fpd.fpd_budget_project AS fpdBudgetProject, fpd.fpd_budget_project_id AS fpdBudgetProjectId, fpd.fpd_pf_name AS fpdPfName, fpd.fpd_pf_id AS fpdPfId, fpd.fpd_expend_subject AS fpdExpendSubject, fpd.fpd_expend_subject_id AS fpdExpendSubjectId, fpd.fpd_payee_name AS fpdPayeeName, fpd.fpd_payee_account AS fpdPayeeAccount, fpd.fpd_payee_opening_bank AS fpdPayeeOpeningBank, fpd.fpd_payee_opening_bank_num AS fpdPayeeOpeningBankNum, fpd.fpd_dept_pay_economics_classify_num AS fpdDeptPayEconomicsClassifyNum, fpd.fpd_dept_pay_economics_classify_name AS fpdDeptPayEconomicsClassifyName, sum( fpd.fpd_applied_amount ) AS fpdAppliedAmount, fpd.fpd_capital_use AS fpdCapitalUse, fpd.fpd_postscript AS fpdPostscript, fpd.fpd_budget_item_name AS fpdBudgetItemName, fpd.fpd_budget_item_number AS fpdBudgetItemNumber, fpd.fpd_dr_name AS fpdDrName, dbec.dbec_parent_num AS dbecParentNum FROM financial_payment_details fpd LEFT JOIN dept_budget_economy_class dbec ON fpd.fpd_dept_pay_economics_classify_num = dbec.dbec_num WHERE fpd.fpd_is_tax = "1" GROUP BY fpd_pay_num ) t1

2023-04-20 上传

将下面这条sql语句简短一些:SELECT * FROM ( SELECT fpd.fpd_id AS fpdId, fpd.fpd_budget_project AS fpdBudgetProject, fpd.fpd_budget_project_id AS fpdBudgetProjectId, fpd.fpd_pf_name AS fpdPfName, fpd.fpd_pf_id AS fpdPfId, fpd.fpd_expend_subject AS fpdExpendSubject, fpd.fpd_expend_subject_id AS fpdExpendSubjectId, fpd.fpd_payee_name AS fpdPayeeName, fpd.fpd_payee_account AS fpdPayeeAccount, fpd.fpd_payee_opening_bank AS fpdPayeeOpeningBank, fpd.fpd_payee_opening_bank_num AS fpdPayeeOpeningBankNum, fpd.fpd_dept_pay_economics_classify_num AS fpdDeptPayEconomicsClassifyNum, fpd.fpd_dept_pay_economics_classify_name AS fpdDeptPayEconomicsClassifyName, fpd.fpd_applied_amount AS fpdAppliedAmount, fpd.fpd_capital_use AS fpdCapitalUse, fpd.fpd_postscript AS fpdPostscript, fpd.fpd_budget_item_name AS fpdBudgetItemName, fpd.fpd_budget_item_number AS fpdBudgetItemNumber, fpd.fpd_dr_name AS fpdDrName, dbec.dbec_parent_num AS dbecParentNum FROM financial_payment_details fpd LEFT JOIN dept_budget_economy_class dbec ON fpd.fpd_dept_pay_economics_classify_num = dbec.dbec_num WHERE fpd.fpd_is_tax = "0" UNION ALL SELECT fpd.fpd_id AS fpdId, fpd.fpd_budget_project AS fpdBudgetProject, fpd.fpd_budget_project_id AS fpdBudgetProjectId, fpd.fpd_pf_name AS fpdPfName, fpd.fpd_pf_id AS fpdPfId, fpd.fpd_expend_subject AS fpdExpendSubject, fpd.fpd_expend_subject_id AS fpdExpendSubjectId, fpd.fpd_payee_name AS fpdPayeeName, fpd.fpd_payee_account AS fpdPayeeAccount, fpd.fpd_payee_opening_bank AS fpdPayeeOpeningBank, fpd.fpd_payee_opening_bank_num AS fpdPayeeOpeningBankNum, fpd.fpd_dept_pay_economics_classify_num AS fpdDeptPayEconomicsClassifyNum, fpd.fpd_dept_pay_economics_classify_name AS fpdDeptPayEconomicsClassifyName, sum( fpd.fpd_applied_amount ) AS fpdAppliedAmount, fpd.fpd_capital_use AS fpdCapitalUse, fpd.fpd_postscript AS fpdPostscript, fpd.fpd_budget_item_name AS fpdBudgetItemName, fpd.fpd_budget_item_number AS fpdBudgetItemNumber, fpd.fpd_dr_name AS fpdDrName, dbec.dbec_parent_num AS dbecParentNum FROM financial_payment_details fpd LEFT JOIN dept_budget_economy_class dbec ON fpd.fpd_dept_pay_economics_classify_num = dbec.dbec_num WHERE fpd.fpd_is_tax = "1" GROUP BY fpd_pay_num ) t1

2023-04-20 上传

insert overwrite table discountdw.dwd_sd_adds_order_bill_inc partition(dt = '2023-06-06') select t1.order_bill_id, t1.counterfoil_no, t1.acceptor, date_format(to_utc_timestamp(cast(t1.expiry_date as bigint) ,'GMT-8'),'YYYY-MM-dd'), t2.company_id, t1.cert_no, t1.company_name, t1.third_order_id, t1.counterfoil_amt/10000, t1.transaction_amt/10000, t1.rate, '3bp' as service_tariffing, ((DATEDIFF(to_utc_timestamp(t1.expiry_date ,'GMT-8'),to_utc_timestamp(t1.transaction_date ,'GMT-8') ) + adjust_days)* 0.0003 *(counterfoil_amt))/ 360 as service_fee, 360 as total_days, DATEDIFF(to_utc_timestamp(t1.expiry_date ,'GMT-8'),to_utc_timestamp(t1.transaction_date ,'GMT-8') ) + adjust_days as modulation_date, t3.channel_type, t3.bank_name, date_format(to_utc_timestamp(cast(t1.transaction_date as bigint) ,'GMT-8'),'YYYY-MM-dd'), t1.order_status_code, t1.order_status_msg, t4.fee_amt, t4.status, t1.tenant_id, t5.revenue, to_utc_timestamp(cast(t1.create_date as bigint) ,'GMT-8'), to_utc_timestamp(cast(t1.update_date as bigint) ,'GMT-8') from (select * from discountdw.ods_adds_order_bill_inc where dt ='2023-06-06' and channel_id=101110004 )t1 left join (select * from mecdw.ods_company_full where platform_id='sdpjw')t2 on t1.cert_no=t2.cert_no and t1.tenant_id=t2.tenant_id left join discountdw.dim_adds_product_full t3 on t1.partner_id=t3.partner_id and t1.product_id=t3.product_id left join (select * from mecdw.dwd_sc_fee_record_full where dt='2023-06-06' and biz_type=2 ) t4 on t1.order_bill_id=t4.third_id left join (select * from discountdw.ods_sd_order_ext_inc where dt='2023-06-06') t5 on t1.order_bill_id=t5.order_bill_id left join sdpjwdw.dim_holiday_info_full t6 on date_format(to_utc_timestamp(t1.expiry_date ,'GMT-8'),'YYYY-MM-dd') = t6.civic_holiday ;

2023-06-09 上传

select lot_hs.lot_id as lot_id,lot_type,lot_hs.mainpd_id, created_time,COMPLETE_TIME, value(bank.banktime,0) as banktime , round ( ( 1.00*(days(COMPLETE_TIME)-days(created_time)) + (hour(COMPLETE_TIME)-hour(created_time))*1.00/24 + (minute(COMPLETE_TIME)-minute(created_time))*1.00/24/60 + (second(COMPLETE_TIME)-second(created_time))1.00/24/60/60) - value(bank.banktime,0),3) as use_days, customer_id, coalesce(cc.cust_id_define,lot_hs.customer_id) as cust_id2, cc.cycletime_target as ct_target, date,layer, round(count() over(partition by coalesce(cc.cust_id_define,lot_hs.customer_id),cc.cycletime_target)*0.9,0) cnt, row_number() over(partition by coalesce(cc.cust_id_define,lot_hs.customer_id),cc.cycletime_target order by ( ( days(COMPLETE_TIME)-days(created_time) + (hour(COMPLETE_TIME)-hour(created_time))*1.00/24 + (minute(COMPLETE_TIME)-minute(created_time))*1.00/24/60 + (second(COMPLETE_TIME)-second(created_time))*1.00/24/60/60) - value(bank.banktime,0))/layer) id From (select date(a.claim_time) as date, a.lot_id, a.lot_type,a.mainpd_id,a.prodspec_id,a.custprod_id, case when(date(b.created_time) <= '2009-01-05') then b.created_time + 21 days else b.created_time end as created_time, CASE WHEN A.CUST_id in ('MCA','NPA','SET') THEN a.COMPLETE_TIME ELSE a.COMPLETE_TIME END COMPLETE_TIME, a.cust_id as customer_id, a.ope_category, c.layer From f3rpt.F3_TB_DAILY_FABOUT a, f3rpt.fvlot b, (select mainpd_id, sum(masks)layer from f3rpt.ASMCRPT_VW_MAINPD_MASKS_ALL group by mainpd_id) as c, (select * from (select lot_id, max(claim_time)claim_time, count(case when(ope_category='Ship')then lot_id else null end) as LS, count(case when(ope_category='Unship') then lot_id else null end) as LUS from f3rpt.F3_TB_DAILY_FABOUT where substr(lot_id,1,2) not in('CA','CW','ES','E0','EM') and lot_type = 'Production' AND LOT_ID NOT LIKE 'H%' and substr(lot_id,7,4)='.00F' and ope_category in ('Ship','Unship') and year(claim_time) = year(current date - 1 days) and month(claim_time) = month(current date - 1 days) group by lot_id) as a where LS - LUS > 0 ) as lot Where a.lot_id = b.lot_id and b.mainpd_id = c.mainpd_id and a.lot_id = lot.LOT_ID and a.claim_time = lot.claim_time and a.ope_category = 'Ship' and a.cust_id in ('SM','BOE','GSC','NPA','GTA') ) as lot_hs left outer join (select lot_id,max(bankin_time) banktime from f3rpt.asmc_dpm where bankin_time>0 group by lot_id) bank on (lot_hs.lot_id = bank.lot_id) left join f3cim.f3cim_cfg_cust_rule cc on case when lot_hs.customer_id='WXM' THEN 'WII'||SUBSTR(lot_hs.mainpd_id,6,1) else lot_hs.customer_id end = cc.cust_id and locate(cc.mainpd_id,lot_hs.mainpd_id)>0 and locate(cc.prodspec_id,lot_hs.prodspec_id)>0 and locate(cc.custprod_id_45,substr(lot_hs.custprod_id,3,3))>0 where lot_hs.ope_category = 'Ship' ;以上sql如何优化

2023-06-07 上传