PHP大牛培训班第42天课程：TP5配置详解

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资源摘要信息:"本资源为计算机后端技术领域的专业培训材料，专注于PHP语言的学习与应用。文件名为'计算机后端-PHP大牛线上培训班课-第42天_TP5配置.zip'，表明该课程是面向有一定PHP基础的学习者，专门讲解ThinkPHP 5框架的配置过程。ThinkPHP是一个轻量级的PHP开发框架，旨在遵循简洁实用的设计理念，提高Web应用开发的效率和质量。 在第42天的课程中，学员将深入学习ThinkPHP 5框架的核心配置，包括但不限于以下几个方面： 1. 环境配置：了解服务器环境的基本要求，包括PHP版本、扩展库的安装以及Web服务器（如Apache或Nginx）的配置。 2. 框架下载与安装：学习如何下载ThinkPHP官方提供的最新版本，并指导学员进行正确的安装和初始化设置。 3. 项目结构理解：掌握ThinkPHP项目的基本文件结构，理解入口文件、公共文件、控制器、模型和视图等组件的作用和关联。 4. 配置文件详解：深入分析ThinkPHP的配置文件，如database.php用于数据库配置，route.php用于路由配置等，学习如何根据项目需求进行修改和扩展。 5. 路由管理：了解并实践ThinkPHP 5中的路由系统，掌握路由定义、分组路由以及URL重写等高级功能。 6. 数据库操作：学习如何使用ThinkPHP 5提供的数据库访问类进行数据的增删改查操作，包括模型（Model）的使用和数据迁移（Migration）的概念。 7. 输入输出管理：掌握ThinkPHP中的输入输出管理机制，包括输入过滤、输出编码和数据验证等。 8. 安全性配置：了解并实施ThinkPHP框架的安全设置，比如防止跨站脚本攻击（XSS）、SQL注入等常见的Web安全威胁。 9. 高级特性：如中间件（Middleware）、事件监听（Event Listener）和钩子（Hook）的使用，提供更深层次的定制化和扩展性。 通过以上内容的学习，学员将能够熟练掌握ThinkPHP 5框架的配置和使用，进一步加深对PHP后端开发的理解，并能够独立完成中小型Web应用的开发任务。标签'php 开发语言'突出了课程的专业性和实用性，适合希望提升PHP开发技能的专业人士。" 【标题】:"计算机后端-PHP大牛线上培训班课-第42天_TP5配置.zip" 【描述】:"计算机后端-PHP大牛线上培训班课-第42天_TP5配置.zip" 【标签】:"php 开发语言" 【压缩包子文件的文件名称列表】: thinkphp

计算机后端-PHP大牛线上培训班课-HP设计模式与Trait技术er安装TP51_Win版.mp4

2022-05-21 上传
计算机后端-PHP大牛线上培训班课-HP设计模式与Trait技术er安装TP51_Win版.mp4

基于PHP的后台管理系统_TP5admin.zip

2023-07-26 上传
【标题】"基于PHP的后台管理系统_TP5admin.zip"揭示了这是一个使用PHP编程语言开发的后台管理系统，且基于ThinkPHP5（简称TP5）框架。ThinkPHP5是PHP社区内广泛应用的一个开源框架，以其易用性、高效性和灵活性受到...

以hive的角度检查语法： with cur_dim_comb as (SELECT DISTINCT t.dim_comb ,t.var_sub_class ,t.acc_value FROM gerp.cux_cst_data_alloc_his t WHERE t.top_var_type = '10' AND t.job_ver_id in (SELECT ver.job_ver_id AS p_job_ver_id FROM gerp.cux_cst_dist_jobs_all job INNER JOIN gerp.cux_cst_dist_jobs_vers_all ver ON job.job_id = ver.job_id )) select tp.bd_code --事业部编码 ,tp.bd_name --事业部名称 ,hp.ou_code --OU名称 ,hp.ou_name --OU编码 ,op.main_class_desc --差异大类 ,op.acc_value --科目代码 ,op.acc_desc --科目名称 ,op.dim_comb --区分维度 ,op.begin_amount --期初余额 ,op.accrual_amount --本期发生 ,op.balance_diff_alloc_amount --期末差异结存 ,op.var_sub_class ,op.main_class_value ,op.org_id ,op.period_name ,op.job_ver_id from (select up.* ,q1.* from (SELECT DISTINCT maincl.* ,t.* FROM t inner join (SELECT fv.flex_value ,fv.description FROM fv inner join fs on fv.flex_value_set_id = fs.flex_value_set_id AND fs.flex_value_set_name = 'CUX_CST_VARIANCE_TYPE' AND fv.enabled_flag = 'Y' AND fv.hierarchy_level = '2' AND fv.flex_value LIKE '10%' ) maincl on t.var_main_class = maincl.flex_value inner join cur_dim_comb on cur_dim_comb.var_sub_class = t.var_sub_class and cur_dim_comb.acc_value = t.acc_value WHERE 1 = 1 AND t.top_var_type = '10' AND t.job_ver_id in (SELECT ver.job_ver_id AS p_job_ver_id FROM gerp.cux_cst_dist_jobs_all job INNER JOIN gerp.cux_cst_dist_jobs_vers_all ver ON job.job_id = ver.job_id) ORDER BY maincl.description ,t.acc_value ,cur_dim_comb.dim_comb ) up inner join (SELECT t1.* ,SUM(t1.begin_amount) begin_amount ,SUM(t1.accrual_amount) accrual_amount ,SUM(t1.balance_diff_alloc_amount) balance_diff_alloc_amount FROM gerp.cux_cst_data_alloc_his t1 LEFT JOIN gerp.cux_cst_data_alloc_his t ON t1.top_var_type = '10' AND t1.var_sub_class = t.var_sub_class --p_var_sub_class AND t1.org_id = t.org_id --p_org_id AND t1.period_name = t.period_name --p_period_name AND t1.job_ver_id = t.job_ver_id --p_job_ver_id AND t1.acc_value = t.acc_value --p_acc_value WHERE t1.dim_comb in (select distinct dim_comb from cur_dim_comb) group by t1.org_id,t1.period_name,t1.job_ver_id,t1.var_sub_class,t1.acc_value ) q1 on q1.org_id = up.org_id --p_org_id AND q1.period_name = up.period_name --p_period_name AND q1.job_ver_id = up.job_ver_id --p_job_ver_id AND q1.var_sub_class = up.var_sub_class --p_var_sub_class AND q1.acc_value = up.acc_value --p_acc_value ) op

2023-05-26 上传
op.main_class_desc, --差异大类 op.acc_value, --科目代码 op.acc_desc, --科目名称 op.dim_comb, --区分维度 op.begin_amount, --期初余额 op.accrual_amount, --本期发生 op.balance_diff_alloc_amount, -...

帮我优化以下sql select s.* from ifare.structred_rule s right join ( select MAX(r.VERSION) vers, r.status, r.tbl_no, r.live_from, r.data_type, r. source from ifare.structred_rule r where (r.status in ('8', '')) group by r.status, r.tbl_no, r.live_from, r.data_type, r. source) tp on s.version = tp.vers and s.tbl_no = tp.tbl_no and s.status = tp.status and s.live_from = tp.live_from and s.data_type = tp.data_type and s.SOURCE = tp.source and s.status <> '-1' where s.version ='00001' and s.remark = 'D' and s.audited_date >= '20211010' and s.audited_date <='20211011' order by s.db_date asc, s.tbl_no asc, s.version desc

2023-05-24 上传
JOIN tmp_structred_rule tp ON s.version = tp.vers AND s.tbl_no = tp.tbl_no AND s.status = tp.status AND s.live_from = tp.live_from AND s.data_type = tp.data_type AND s.SOURCE = tp.source WHERE ...

为什么下面的sql语句会输出重复的结果：SELECT tp.parent_production_orders AS parent_production_orders, tp.production_orders AS production_orders, tp.work_order AS work_order, tp.contract AS contract, tp.sbbh AS sbbh, tp.batch_num AS batch_num, tp.product_code AS product_code, tp.product_number AS product_number, tp.product_name AS product_name, to_char( middle.create_date, 'yyyy-mm-dd' ) AS issued_date, to_char( to_timestamp( tp.delivery_time / 1000 ), 'yyyy-mm-dd' ) AS delivery_time, middle.line_code AS work_area_code, middle.line_name AS work_area_name, tp.workorder_number AS workorder_number, tp.complete_number AS complete_number, tp.part_unit AS part_unit, middle.work_time_type AS work_time_type, middle.process_time AS process_time, CASE WHEN sc.totalSubmitHours IS NULL THEN 0 ELSE sc.totalSubmitHours END AS submit_work_hours, CASE WHEN middle.process_time > 0 AND sc.totalSubmitHours IS NOT NULL THEN round( ( sc.totalSubmitHours / middle.process_time ), 2 ) * 100 ELSE 0 END plan_achievement_rate, CASE WHEN sc.totalSubmitHours IS NULL THEN 0 ELSE round( CAST ( sc.totalSubmitHours AS NUMERIC ) / CAST ( 60 AS NUMERIC ), 1 ) END AS submit_work_hours_h, round( CAST ( middle.process_time AS NUMERIC ) / CAST ( 60 AS NUMERIC ), 1 ) AS process_time_h, pinfo.material_channel AS material_channel FROM hm_model_work_order_report_middle middle LEFT JOIN hm_model_trc_plan tp ON middle.work_order = tp.work_order LEFT JOIN ( SELECT oro.work_order AS orderNo, oro.work_area_code AS lineCode, SUM ( submit_work_hours ) AS totalSubmitHours, '自制' AS workHourType FROM hm_model_trc_order_report_operation_u orou LEFT JOIN hm_model_trc_order_report_operation oro ON orou.work_order_process_id = oro.ID WHERE orou.work_order_process_id IS NOT NULL AND oro.work_area_code IS NOT NULL GROUP BY oro.work_order, oro.work_area_code UNION all SELECT ohs.work_order_no AS orderNo, ohs.line_code AS lineCode, SUM ( receiving_hour ) AS totalSubmitHours, '外委' AS workHourType FROM hm_model_outsourcing_hour_statistics ohs GROUP BY ohs.work_order_no, ohs.line_code ) sc ON middle.work_order = sc.orderNo AND middle.line_code = sc.lineCode AND middle.work_time_type = sc.workHourType LEFT JOIN hm_model_part_info AS pinfo ON tp.product_number = pinfo.part_code WHERE middle.process_time > 0 AND tp.delivery_time IS NOT NULL AND tp.production_orders LIKE'FJ2023051100286' ORDER BY to_char( to_timestamp( tp.delivery_time / 1000 ), 'yyyy-mm-dd' ) DESC, tp.parent_production_orders DESC, tp.node_level ASC

2023-06-06 上传
例如：SELECT DISTINCT tp.parent_production_orders AS parent_production_orders, tp.production_orders AS production_orders, ... （省略后面的 SQL 语句）。另外，还可以检查查询条件是否合理，是否需要增加更...

修改这个函数，要实现防止连续点按 while (1) { tp_dev.scan(0); if (tp_dev.sta & TP_PRES_DOWN) { //触摸屏被按下 if (tp_dev.x[0] > 0 && tp_dev.x[0] < 130 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480) { while(tp_dev.x[0] > 0 && tp_dev.x[0] < 130 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480){ tp_dev.scan(0); } if (i < 5) { password[i++] = '1'; } } else if (tp_dev.x[0] > 130 && tp_dev.x[0] < 260 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480) { while(tp_dev.x[0] > 130 && tp_dev.x[0] < 260 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480){ tp_dev.scan(0); } if (i < 5) { password[i++] = '2'; } } else if (tp_dev.x[0] > 260 && tp_dev.x[0] < 390 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480) { while(tp_dev.x[0] > 260 && tp_dev.x[0] < 390 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480){ tp_dev.scan(0); } if (i < 5) { password[i++] ='3'; } } else if (tp_dev.x[0] > 390 && tp_dev.x[0] < 520 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480) { while(tp_dev.x[0] > 390 && tp_dev.x[0] < 520 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480){ tp_dev.scan(0); } if (i < 5) { password[i++] = '4'; } } else if (tp_dev.x[0] > 520 && tp_dev.x[0] < 650 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480) { while(tp_dev.x[0] > 520 && tp_dev.x[0] < 650 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480){ tp_dev.scan(0); } if (i > 0) { password[--i] = '\0'; } } else if (tp_dev.x[0] > 650 && tp_dev.x[0] < 800 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480) { while(tp_dev.x[0] > 650 && tp_dev.x[0] < 800 && tp_dev.y[0] > 380 && tp_dev.y[0] < 480){ tp_dev.scan(0); } if (i == 4) { break; //退出密码输入循环 } else { Show_Hz16(300,250,"提示信息：用户名或密码错误",RED,WHITE); } } //显示部分 LCD_ShowString(400,150,400,24,24,password); } }

2023-05-22 上传
if (tp_dev.x[0] > 0 && tp_dev.x[0] < 130 && tp_dev.y[0] > 380 && tp_dev.y[0] ) { if (i < 5) { password[i++] = '1'; } while(tp_dev.sta & TP_PRES_DOWN) { //等待触摸屏释放 tp_dev.scan(0); } } ...

SELECT tp.id as projectId,tp.project_name as projectName,tp.project_type as projectType, tipp.project_status as projectStatus FROM tzgl_project tp left join tzgl_investment_plan_project tipp on tipp.project_id = tp.id left join tzgl_investment_plan tip on tipp.plan_id = tip.id and tip.plan_year = 2023 and tip.plan_type in (1,3) where tp.id = '429158807596360069' and tip.is_deleted = 0 优化sql语句，实现当tipp.plan_type=1和tipp.plan_type=3都有值的时候，只查询到tipp.plan_type=3的一条值

2023-06-08 上传
SELECT tp.id as projectId, tp.project_name as projectName, tp.project_type as projectType, (SELECT project_status FROM tzgl_investment_plan_project WHERE project_id = tp.id AND plan_id = tip.id AND ...

select TRADE_REQUEST_ID tradeRequestId, INTERNAL_DEPARTMENT_CODE internalDepartmentCode, TP_PAY_ORGAN_ID tpPayOrganId, PAY_AMOUNT payAmount, FEE fee from( select orderInfo.TRADE_REQUEST_ID, orderInfo.INTERNAL_DEPARTMENT_CODE, orderInfo.TP_PAY_ORGAN_ID, orderInfo.PAY_AMOUNT, orderInfo.FEE, ROWNUM r from T_PAY_SYNC_RECONCILE_AC_TASK orderInfo where ORDERINFO.STATUS = '0' AND ORDERINFO.ORG_MER_DATE BETWEEN TRUNC(#startDate:DATE#)+ #syncStartDay:NUMBER# + #syncStartTime:NUMBER#/ (24) and TRUNC(#startDate:DATE#)+ #syncEndDay:NUMBER# + #syncEndTime:VARCHAR#/ (24) )table_a <![CDATA[ where r>#firstIndex:NUMBER# and r<=#endIndex:NUMBER# ]]> 优化这段SQL语句

2023-07-08 上传
TP_PAY_ORGAN_ID tpPayOrganId, PAY_AMOUNT payAmount, FEE fee FROM ( SELECT orderInfo.TRADE_REQUEST_ID, orderInfo.INTERNAL_DEPARTMENT_CODE, orderInfo.TP_PAY_ORGAN_ID, orderInfo.PAY_AMOUNT, ...

sql 在cust_entp_crdt 中找出crdt_tp,crdt_no,crdt_iss_ctry这三个字段一样的数据，不需要我输入

2023-04-28 上传
可以使用以下 SQL 语句找出 `cust_entp_crdt` 表中 `crdt_tp`、`crdt_no`、`crdt_iss_ctry` 这三个字段相同的数据： ```sql SELECT * FROM cust_entp_crdt c1 WHERE EXISTS ( SELECT 1 FROM cust_entp_crdt c2 ...

请帮我详细解释每一行代码的意思from kafka import KafkaConsumer, TopicPartition, OffsetAndMetadata import json class Consumer(): def __init__(self): self.server = 'localhost:9092' self.topic = 'json_topic' self.consumer = None self.tp = None self.consumer_timeout_ms = 5000 self.group_id = 'test1' def get_connect(self): self.consumer = KafkaConsumer('json_topic',group_id=self.group_id,auto_offset_reset='earliest',bootstrap_servers =self.server,enable_auto_commit=False,consumer_timeout_ms=self.consumer_timeout_ms) def beginConsumer(self): now_offset = 0 while True: for message in self.consumer: now_offset = message.offseti data = message.value.decode('utf-8') data = json.loads(data) print(data) self.consumer.commit() consumer.close() c = Consumer() c.get_connect() c.beginConsumer()

2023-06-02 上传
5. `self.topic = 'json_topic'`：设置消费者订阅的主题为 'json_topic'。 6. `self.consumer = None`：初始化消费者对象为空。 7. `self.tp = None`：初始化分区信息为空。 8. `self.consumer_timeout_ms = 5000...
programhh
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