1. Basic use of sorting
When querying data, if no sorting operation is used, by default SQL will arrange the query results in the order in which tuples are added.
To perform sorting operations in SQL, you can use the keyword ORDER BY.... After this keyword, you can add the keyword ASC (ascend) to indicate ascending order (from small to large), and DESC (descend) to indicate descending order (from large to small).
If ASC or DESC is not added after the ORDER BY... keyword to indicate ascending or descending order, SQL will default to ascending ASC order. As shown in the following code:
SELECT employee_id, last_name, salary FROM employees ORDER BY salary;
Query results:
employees The employee's
employee_id,
last_name,
salary and
department_id information. And sort by
salary from largest to smallest (descending order).
SELECT employee_id, last_name, salary FROM employees ORDER BY salary DESC;Query results:
annual_salary), or some field names are really too long, using short aliases can improve the efficiency of our programming. As shown in the following example:
employee_id,
last_name, and monthly salary
salary# of the employees in the employee table employees
## and annual salaryannual_salary
information. And sorted by annual_salary
from largest to smallest (descending order). <pre class='brush:php;toolbar:false;'>SELECT employee_id, last_name, salary,
salary * (1 + IFNULL(commission_pct, 0) * 12) AS "annual_salary"
FROM employees
ORDER BY annual_salary DESC;</pre>
Query results:
[Note]
- Format requirements,
- WHERE
Must be declared after
FROM
. The alias of the column can only be used in - ORDER BY...
, not in
WHERE
. **If you use column aliases inWHERE
, SQL will report an error. So why can’t column aliases in MySQL be used inWHERE
? The reasons are as follows: [Cause]
SELECT employee_id, last_name, department_id FROM employees WHERE department_id IN(50, 60, 70) ORDER BY department_id DESC;
- In SQL, the execution order of query statements does not follow the above code from line 1 to line 1 4 lines in order from top to bottom. Instead, first execute line 2 FROM... and first find the table to be queried.
- Execute line 3 WHERE... to filter tuples that meet the conditions.
- Then execute line 1 SELECT... to display the fields you want to query. Because the column alias is generated only in this step, the WHERE statement it provides cannot be used in the previous step. But it can be used in the next step of ORDER BY.
- Finally, the 4th row is ORDER BY... , sorted by a certain column. At this time, you can use column aliases for sorting.
- Query results:
3. Second-level sorting
In real life, sometimes we need Sort by one field and then by another field. In SQL we can use secondary sorting to achieve this. Please see the following example for usage:
[Example 1] Query the employee ID
employee_id, name last_name
, of the employees in the employee table employees
, Monthly salary salary
and department ID department_id
. And first sort by department ID department_id
in descending order, and then sort by salary
from large to small (descending order). <pre class='brush:php;toolbar:false;'>SELECT employee_id, last_name, salary, department_id
FROM employees
ORDER BY department_id DESC, salary DESC;</pre>
Query results:
## and so on. You can add a comma after ORDER BY
The above is the detailed content of How to sort data in MySQL. For more information, please follow other related articles on the PHP Chinese website!

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

Atom editor mac version download
The most popular open source editor

SublimeText3 Chinese version
Chinese version, very easy to use

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment
