How to query all columns (fields) in a table with mysql?
Mysql method of querying all columns in the table: 1. Query all columns of the table through "*", the syntax is "SELECT * FROM table name;"; 2. Query the table by listing all fields of the table All columns, syntax "SELECT field list FROM table name;".

MySQL data table is composed of rows and columns. Usually the "columns" of the table are called fields (Field), and the "rows" of the table are called For the record (Record).
Query all columns (fields) in the table
Querying all fields refers to querying the data of all fields in the table. MySQL provides the following 2 ways to query all fields in the table.
Use "*" wildcard to query all fields
List all fields of the table
1) Use "*" to query all fields of the table
SELECT can use "*" to search for data in all fields in the table. The syntax format is as follows:
SELECT * FROM 表名;
When using "*" to query, you can only sort according to the order of the fields in the data table. You cannot Change the order of fields.
Example 1
Query the data of all fields from the tb_students_info table. The SQL statement and running results are as follows.
mysql> use test_db; Database changed mysql> SELECT * FROM tb_students_info; +----+--------+---------+------+------+--------+------------+ | id | name | dept_id | age | sex | height | login_date | +----+--------+---------+------+------+--------+------------+ | 1 | Dany | 1 | 25 | F | 160 | 2015-09-10 | | 2 | Green | 3 | 23 | F | 158 | 2016-10-22 | | 3 | Henry | 2 | 23 | M | 185 | 2015-05-31 | | 4 | Jane | 1 | 22 | F | 162 | 2016-12-20 | | 5 | Jim | 1 | 24 | M | 175 | 2016-01-15 | | 6 | John | 2 | 21 | M | 172 | 2015-11-11 | | 7 | Lily | 6 | 22 | F | 165 | 2016-02-26 | | 8 | Susan | 4 | 23 | F | 170 | 2015-10-01 | | 9 | Thomas | 3 | 22 | M | 178 | 2016-06-07 | | 10 | Tom | 4 | 23 | M | 165 | 2016-08-05 | +----+--------+---------+------+------+--------+------------+ 10 rows in set (0.26 sec)
The results show that when using the "*" wildcard character, all columns will be returned, and the data columns will be displayed in the order when the table was created.
Note: Generally, unless you need to use all field data in the table, it is best not to use the wildcard "*". Although using wildcards can save time typing query statements, obtaining unnecessary column data often reduces the efficiency of the query and the application used. The advantage of using "*" is that when the names of the required columns are not known, they can be obtained via "*".
2) List all fields in the table
The field name after the SELECT keyword is the field that needs to be found, so the names of all fields in the table can be followed by after the SELECT keyword.
SELECT 字段列表 FROM 表名;
If you forget the field name, you can use the DESC command to view the structure of the table.
Sometimes, because the table has many fields, it is not possible to remember the names of all fields, so this method is very inconvenient and is not recommended.
Example 2
Query all data in the tb_students_info table. The SQL statement can also be written as follows:
SELECT id,name,dept_id,age,sex,height,login_date FROM tb_students_info;
The running result is the same as Example 1.
This query method is more flexible. If you need to change the order of field display, you only need to adjust the order of the field list after the SELECT keyword.
Although the method of listing all fields of a table is more flexible, the "*" wildcard character is usually used when querying all fields. Using "*" is relatively simple, especially when there are many fields in the table, the advantages of this method are more obvious. Of course, if you need to change the order in which fields are displayed, you can choose to list all fields in the table.
Recommended tutorial: mysql video tutorial
The above is the detailed content of How to query all columns (fields) in a table with mysql?. For more information, please follow other related articles on the PHP Chinese website!
Hot AI Tools
Undress AI Tool
Undress images for free
Undresser.AI Undress
AI-powered app for creating realistic nude photos
AI Clothes Remover
Online AI tool for removing clothes from photos.
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
Performing logical backups using mysqldump in MySQL
Jul 06, 2025 am 02:55 AM
mysqldump is a common tool for performing logical backups of MySQL databases. It generates SQL files containing CREATE and INSERT statements to rebuild the database. 1. It does not back up the original file, but converts the database structure and content into portable SQL commands; 2. It is suitable for small databases or selective recovery, and is not suitable for fast recovery of TB-level data; 3. Common options include --single-transaction, --databases, --all-databases, --routines, etc.; 4. Use mysql command to import during recovery, and can turn off foreign key checks to improve speed; 5. It is recommended to test backup regularly, use compression, and automatic adjustment.
Implementing Transactions and Understanding ACID Properties in MySQL
Jul 08, 2025 am 02:50 AM
MySQL supports transaction processing, and uses the InnoDB storage engine to ensure data consistency and integrity. 1. Transactions are a set of SQL operations, either all succeed or all fail to roll back; 2. ACID attributes include atomicity, consistency, isolation and persistence; 3. The statements that manually control transactions are STARTTRANSACTION, COMMIT and ROLLBACK; 4. The four isolation levels include read not committed, read submitted, repeatable read and serialization; 5. Use transactions correctly to avoid long-term operation, turn off automatic commits, and reasonably handle locks and exceptions. Through these mechanisms, MySQL can achieve high reliability and concurrent control.
Setting up asynchronous primary-replica replication in MySQL
Jul 06, 2025 am 02:52 AM
To set up asynchronous master-slave replication for MySQL, follow these steps: 1. Prepare the master server, enable binary logs and set a unique server-id, create a replication user and record the current log location; 2. Use mysqldump to back up the master library data and import it to the slave server; 3. Configure the server-id and relay-log of the slave server, use the CHANGEMASTER command to connect to the master library and start the replication thread; 4. Check for common problems, such as network, permissions, data consistency and self-increase conflicts, and monitor replication delays. Follow the steps above to ensure that the configuration is completed correctly.
Handling character sets and collations issues in MySQL
Jul 08, 2025 am 02:51 AM
Character set and sorting rules issues are common when cross-platform migration or multi-person development, resulting in garbled code or inconsistent query. There are three core solutions: First, check and unify the character set of database, table, and fields to utf8mb4, view through SHOWCREATEDATABASE/TABLE, and modify it with ALTER statement; second, specify the utf8mb4 character set when the client connects, and set it in connection parameters or execute SETNAMES; third, select the sorting rules reasonably, and recommend using utf8mb4_unicode_ci to ensure the accuracy of comparison and sorting, and specify or modify it through ALTER when building the library and table.
Connecting to MySQL Database Using the Command Line Client
Jul 07, 2025 am 01:50 AM
The most direct way to connect to MySQL database is to use the command line client. First enter the mysql-u username -p and enter the password correctly to enter the interactive interface; if you connect to the remote database, you need to add the -h parameter to specify the host address. Secondly, you can directly switch to a specific database or execute SQL files when logging in, such as mysql-u username-p database name or mysql-u username-p database name
Managing Character Sets and Collations in MySQL
Jul 07, 2025 am 01:41 AM
The setting of character sets and collation rules in MySQL is crucial, affecting data storage, query efficiency and consistency. First, the character set determines the storable character range, such as utf8mb4 supports Chinese and emojis; the sorting rules control the character comparison method, such as utf8mb4_unicode_ci is case-sensitive, and utf8mb4_bin is binary comparison. Secondly, the character set can be set at multiple levels of server, database, table, and column. It is recommended to use utf8mb4 and utf8mb4_unicode_ci in a unified manner to avoid conflicts. Furthermore, the garbled code problem is often caused by inconsistent character sets of connections, storage or program terminals, and needs to be checked layer by layer and set uniformly. In addition, character sets should be specified when exporting and importing to prevent conversion errors
Designing a Robust MySQL Database Backup Strategy
Jul 08, 2025 am 02:45 AM
To design a reliable MySQL backup solution, 1. First, clarify RTO and RPO indicators, and determine the backup frequency and method based on the acceptable downtime and data loss range of the business; 2. Adopt a hybrid backup strategy, combining logical backup (such as mysqldump), physical backup (such as PerconaXtraBackup) and binary log (binlog), to achieve rapid recovery and minimum data loss; 3. Test the recovery process regularly to ensure the effectiveness of the backup and be familiar with the recovery operations; 4. Pay attention to storage security, including off-site storage, encryption protection, version retention policy and backup task monitoring.
Using Common Table Expressions (CTEs) in MySQL 8
Jul 12, 2025 am 02:23 AM
CTEs are a feature introduced by MySQL8.0 to improve the readability and maintenance of complex queries. 1. CTE is a temporary result set, which is only valid in the current query, has a clear structure, and supports duplicate references; 2. Compared with subqueries, CTE is more readable, reusable and supports recursion; 3. Recursive CTE can process hierarchical data, such as organizational structure, which needs to include initial query and recursion parts; 4. Use suggestions include avoiding abuse, naming specifications, paying attention to performance and debugging methods.


