


Detailed explanation of the role of MySQL views (2) - filtering data, calculating fields, and updating views
Use views to filter unwanted data
Views are also useful for applying ordinary WHERE clauses. For example, you can define a customeremaillist view that filters customers without email addresses. For this purpose, the following statement can be used:
Input:
create view customeremaillist as select cust_id,cust_name,cust_email from customers where cust_email is not null;
Analysis: Obviously, when sending an email to a mailing list, you need to exclude users who do not have an email address. The WHERE clause here filters those rows with NULL values in the cust_email column so that they are not retrieved.
Now, you can use the view customeremaillist like any other table.
Input:
select * fromcustomeremaillist;
Output:
WHERE clause and WHERE clause If a WHERE subclause is used when retrieving data from the view clause, the two sets of clauses (one in the view and the other passed to the view) are automatically combined.
Using Views with Calculated Fields
Views are particularly useful for simplifying the use of calculated fields. Below is a SELECT statement introduced in Chapter 10. It retrieves the items in a specific order and calculates the total price for each item:
Input:
select prod_id,quantity,item_price,quantity*item_price as expanded_price from orderitems where order_num = 20005;
Output:
To convert it into a view, proceed as follows:
Input:
create view orderitemsexpanded as select prod_id,quantity,item_price,quantity*item_price as expanded_price from orderitems;
To retrieve the details of order 20005 (the output above), proceed as follows:
Enter:
select * from orderitemsexpanded where order_num = 20005;
Output:
As you can see, the view is very easy to create and easy to use. Used correctly, views can greatly simplify complex data processing.
Updating views
All views so far are used with SELECT statements. However, can the view's data be updated? The answer depends on the situation.
Typically, views are updatable (that is, INSERT , UPDATE , and DELETE can be used on them). Updating a view updates its base table (recall that the view itself has no data). If you add or delete rows to a view, you are actually adding or deleting rows to its base table.
However, not all views are updateable. Basically it can be said that if MySQL cannot correctly determine the base data being updated, updates (including inserts and deletes) are not allowed. This actually means that if there are the following operations in the view definition, the view cannot be updated:
1. Grouping (using GROUP BY and HAVING);
2. Join;
3. Subquery;
4. Union;
5. Aggregation function (Min(), Count(), Sum(), etc.);
6.DISTINCT;
7.Export (calculated) column.
In other words, the views in many of the examples in this chapter are not updatable. This may sound like a serious limitation, but it is not, since views are primarily used for data retrieval.
Possible changes The limitations listed above are correct since MySQL 5. However, future versions of MySQL are likely to lift some restrictions.
Use views for retrieval Generally, views should be used for retrieval (SELECT statement) rather than for updates (INSERT, UPDATE and DELETE).
Summary:
Views are virtual tables. They contain not data but queries to retrieve the data as needed. Views provide a hierarchical encapsulation of MySQL SELECT statements that can be used to simplify data processing and reformat or protect the underlying data.
The above is the detailed content of Detailed explanation of the role of MySQL views (2) - filtering data, calculating fields, and updating views. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

Yes, MySQL can be installed on Windows 7, and although Microsoft has stopped supporting Windows 7, MySQL is still compatible with it. However, the following points should be noted during the installation process: Download the MySQL installer for Windows. Select the appropriate version of MySQL (community or enterprise). Select the appropriate installation directory and character set during the installation process. Set the root user password and keep it properly. Connect to the database for testing. Note the compatibility and security issues on Windows 7, and it is recommended to upgrade to a supported operating system.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.

The difference between clustered index and non-clustered index is: 1. Clustered index stores data rows in the index structure, which is suitable for querying by primary key and range. 2. The non-clustered index stores index key values and pointers to data rows, and is suitable for non-primary key column queries.

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL and MariaDB can coexist, but need to be configured with caution. The key is to allocate different port numbers and data directories to each database, and adjust parameters such as memory allocation and cache size. Connection pooling, application configuration, and version differences also need to be considered and need to be carefully tested and planned to avoid pitfalls. Running two databases simultaneously can cause performance problems in situations where resources are limited.

In MySQL database, the relationship between the user and the database is defined by permissions and tables. The user has a username and password to access the database. Permissions are granted through the GRANT command, while the table is created by the CREATE TABLE command. To establish a relationship between a user and a database, you need to create a database, create a user, and then grant permissions.

Data Integration Simplification: AmazonRDSMySQL and Redshift's zero ETL integration Efficient data integration is at the heart of a data-driven organization. Traditional ETL (extract, convert, load) processes are complex and time-consuming, especially when integrating databases (such as AmazonRDSMySQL) with data warehouses (such as Redshift). However, AWS provides zero ETL integration solutions that have completely changed this situation, providing a simplified, near-real-time solution for data migration from RDSMySQL to Redshift. This article will dive into RDSMySQL zero ETL integration with Redshift, explaining how it works and the advantages it brings to data engineers and developers.
