博客前言: 企业级报表通常都涉及到复杂的权限问题, 比如文本级权限和行级权限,某区域经理只能看到该区域的销售数据。QlikView自然也提供了该种功能。 具体方法: 在Edit script中新建一个tab, 输入如下语句: Section Access;LOAD * INLINE [ACCESS,USERI
博客前言:企业级报表通常都涉及到复杂的权限问题, 比如文本级权限和行级权限,某区域经理只能看到该区域的销售数据。QlikView自然也提供了该种功能。
具体方法:
在Edit script中新建一个tab, 输入如下语句:
Section Access; LOAD * INLINE [ ACCESS, USERID, PASSWORD, COUNTRY ADMIN, ADMIN, ADMIN, ALL USER, zplume, zplume, CHINA USER, zplume, zplume, France USER, sissi, sissi, america ]; Section Application; Sales: LOAD * INLINE [ COUNTRY, SALES FRANCE, 200 IRELAND,300 UNITED KINGDOM, 400 CHINA,500 america,600 ];
退出Edit script,在设置(Settings)里面点击文档设置(Documents Properties), 选择Opening, 选中Initial Data Reduction Based on Section Access, 里面的Script Exclusion不要选中。 重新加载(Reload)数据。
1. 关闭所有QlikView工程, 再打开上述创建的QlikView文件。用账号ADMIN登陆依然会看到所有的country和sales。
2. 关闭QlikView工程再用zplume登陆,则只能看到France和China以及相应的sales。
3. 再关闭QlikView工程用sissi登陆,此时能看到所有的country和sales,表明权限设置失效。
我Google了很多网页,他们只是说:uppercase is a must always(必须要大写)。从上面的脚本可以看出,列表中的字段值需要大写才行。
未解决问题:
为何列表中的字段值需要大写才行,这是QlikView本身的bug还是说另有深意? 希望直到的朋友可以留言解释一下。多谢多谢。

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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