search
HomeDatabaseMysql Tutorial从从MySQL数据库表中检索数据

从从MySQL数据库表中检索数据

Jun 07, 2016 pm 04:19 PM
mysqldatadatabaseSearchin the table

在《用MySQL创建数据库和数据库表》文章中,我们如何创建一个数据库和数据库表,并知道如何向数 据库表中添加记录。 那么我们如何从数据库表中检索数据呢? 1、从数据库表中检索信息 实际上,前面我们已经用到了SELECT语句,它用来从数据库表中检索信息。 sel

   在《用MySQL创建数据库和数据库表》文章中,我们如何创建一个数据库和数据库表,并知道如何向数 据库表中添加记录。 那么我们如何从数据库表中检索数据呢?

  1、从数据库表中检索信息

  实际上,前面我们已经用到了SELECT语句,它用来从数据库表中检索信息。

  select语句格式一般为:

  SELECT 检索关键词 FROM 被检索的表 WHERE 检索条件(可选)

  以前所使用的“ * ”表示选择所有的列。下面继续使用我们在上篇文章中创建的表 mytable。

  2、查询所有数据:

  mysql> select * from mytable;

  +----------+------+------------+----------+

  | name | sex | birth | birthaddr |

  +----------+------+------------+--------+

  | abccs |f | 1977-07-07 | china |

  | mary |f | 1978-12-12 | usa |

  | tom |m | 1970-09-02 | usa |

  +----------+------+------------+----------+

  3 row in set (0.00 sec)

  3、修正错误记录:

  假如tom的出生日期有错误,应该是1973-09-02,则可以用update语句来修正: mysql> update mytable set birth = "1973-09-02" where name = "tom"; 再用2中的语句看看是 否已更正过来。

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
How does MySQL handle concurrency compared to other RDBMS?How does MySQL handle concurrency compared to other RDBMS?Apr 29, 2025 am 12:44 AM

MySQLhandlesconcurrencyusingamixofrow-levelandtable-levellocking,primarilythroughInnoDB'srow-levellocking.ComparedtootherRDBMS,MySQL'sapproachisefficientformanyusecasesbutmayfacechallengeswithdeadlocksandlacksadvancedfeatureslikePostgreSQL'sSerializa

How does MySQL handle transactions compared to other relational databases?How does MySQL handle transactions compared to other relational databases?Apr 29, 2025 am 12:37 AM

MySQLhandlestransactionseffectivelyusingtheInnoDBengine,supportingACIDpropertiessimilartoPostgreSQLandOracle.1)MySQLusesREPEATABLEREADasthedefaultisolationlevel,whichcanbeadjustedtoREADCOMMITTEDforhigh-trafficscenarios.2)Itoptimizesperformancewithabu

How does MySQL differ from PostgreSQL?How does MySQL differ from PostgreSQL?Apr 29, 2025 am 12:23 AM

MySQLisbetterforspeedandsimplicity,suitableforwebapplications;PostgreSQLexcelsincomplexdatascenarioswithrobustfeatures.MySQLisidealforquickprojectsandread-heavytasks,whilePostgreSQLispreferredforapplicationsrequiringstrictdataintegrityandadvancedSQLf

How does MySQL handle data replication?How does MySQL handle data replication?Apr 28, 2025 am 12:25 AM

MySQL processes data replication through three modes: asynchronous, semi-synchronous and group replication. 1) Asynchronous replication performance is high but data may be lost. 2) Semi-synchronous replication improves data security but increases latency. 3) Group replication supports multi-master replication and failover, suitable for high availability requirements.

How can you use the EXPLAIN statement to analyze query performance?How can you use the EXPLAIN statement to analyze query performance?Apr 28, 2025 am 12:24 AM

The EXPLAIN statement can be used to analyze and improve SQL query performance. 1. Execute the EXPLAIN statement to view the query plan. 2. Analyze the output results, pay attention to access type, index usage and JOIN order. 3. Create or adjust indexes based on the analysis results, optimize JOIN operations, and avoid full table scanning to improve query efficiency.

How do you back up and restore a MySQL database?How do you back up and restore a MySQL database?Apr 28, 2025 am 12:23 AM

Using mysqldump for logical backup and MySQLEnterpriseBackup for hot backup are effective ways to back up MySQL databases. 1. Use mysqldump to back up the database: mysqldump-uroot-pmydatabase>mydatabase_backup.sql. 2. Use MySQLEnterpriseBackup for hot backup: mysqlbackup--user=root-password=password--backup-dir=/path/to/backupbackup. When recovering, use the corresponding life

What are some common causes of slow queries in MySQL?What are some common causes of slow queries in MySQL?Apr 28, 2025 am 12:18 AM

The main reasons for slow MySQL query include missing or improper use of indexes, query complexity, excessive data volume and insufficient hardware resources. Optimization suggestions include: 1. Create appropriate indexes; 2. Optimize query statements; 3. Use table partitioning technology; 4. Appropriately upgrade hardware.

What are views in MySQL?What are views in MySQL?Apr 28, 2025 am 12:04 AM

MySQL view is a virtual table based on SQL query results and does not store data. 1) Views simplify complex queries, 2) Enhance data security, and 3) Maintain data consistency. Views are stored queries in databases that can be used like tables, but data is generated dynamically.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

SecLists

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.