Mysql series (3) database features
1． It is written in C and C++ and tested using a variety of compilers to ensure the portability of the source code.
2. Supports AIX, FreeBSD, HP-UX, Linux, Mac OS, NovellNetware, OpenBSD, OS/2 Wrap, Solaris, Windows and other operating systems.
3. APIs are provided for multiple programming languages. These programming languages include C, C++, Python, Java, Perl, PHP, Eiffel, Ruby, .NET and Tcl, etc.
4. Supports multi-threading and makes full use of CPU resources.
5. Optimized SQL query algorithm effectively improves query speed.
6. It can be used as a standalone application in a client-server network environment, or it can be embedded in other software as a library.
7． Provides multi-language support. Common encodings such as Chinese GB 2312, BIG5, Japanese Shift_JIS, etc. can be used as data table names and data column names.
8. Provides multiple database connection methods such as TCP/IP, ODBC and JDBC.
9. Provides management tools for managing, checking, and optimizing database operations.
10. Support large databases. Can handle large databases with tens of millions of records.
11. Supports multiple storage engines.
12.MySQL is open source, so you don’t need to pay extra.
13.MySQL uses the standard SQL data language form.
14.MySQL has good support for PHP, which is currently the most popular web development language.
15.MySQL can be customized and adopts GPL protocol. You can modify the source code to develop your own MySQL system.
16. Online DDL/change capabilities, data architecture supports dynamic applications and developer flexibility (new in 5.6[4])
17. Replicate global transaction identifiers to support self-healing clusters (new in 5.6[4] Added)
18. Copy crash-free slaves to improve availability (new in 5.6[4])
19. Copy multi-threaded slaves to improve performance (new in 5.6[4])
20.3 times faster performance (new in 5.7[5])
21. New optimizer (new in 5.7[5])
22. Native JSON support (new in 5.7[5])
23. Multi-source replication (5.7 [5] New)
24. GIS spatial expansion (5.7[5] New)
The above is the content of Mysql series (3) database features. For more related content, please pay attention to the PHP Chinese website (www.php. cn)!
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When might a full table scan be faster than using an index in MySQL?
Apr 09, 2025 am 12:05 AM
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.
Explain InnoDB Full-Text Search capabilities.
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Can I install mysql on Windows 7
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Difference between clustered index and non-clustered index (secondary index) in InnoDB.
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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.
What are some popular MySQL GUI tools (e.g., MySQL Workbench, phpMyAdmin)?
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Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]
How do you handle large datasets in MySQL?
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Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.
MySQL: Simple Concepts for Easy Learning
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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.
The relationship between mysql user and database
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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.
