The plug-in storage engine is one of the most important features of the MySQL database. Users can find out how to store and index data, whether to use transactions, etc. according to the needs of the application. MySQL supports a variety of storage engines by default to meet the needs of database applications in different fields. Users can choose different storage engines to improve application efficiency and provide flexible storage. Show engines supported by the current database +--------------------+---------+------------------ ------------+---------------+------+----------+ | Engine | Support | Comment | Tran
#1. Mysql Learning Data Engine Sample Code Sharing
Introduction: The plug-in storage engine is one of the most important features of the MySQL database. Users can find out how to store and index data, whether to use transactions, etc. according to the needs of the application. MySQL supports multiple storage engines by default to suit database application needs in different fields. Users can choose different storage engines to improve application efficiency and provide flexible storage
2. Practical mysql cluster construction (1)--Binary installation of mysql-5.6 under centos7
##Introduction : This series of articles completes the construction of a mysql database cluster based on the InnoDb data engine and implements the master-slave replication function. This blog post introduces how to install the mysql database using binary files
3 . Converting MySQL from MyISAM to InnoDB Errors and Solutions
Introduction: It turns out that I use it for installation, so I set the database usage (as shown in Figure 1 below) ), according to the official advice of discuz, I chose Non-Transactional Database Only (non-transactional database that only supports the MyISAM data engine). Using the MyISAM database has not yet involved the need for InnoDB, so I plan not to load the INNODB engine directly.
4. Difference analysis of MySQL InnoDB and MyISAM data engines
Introduction: InnoDB and MyISAM are using MySQL The two most commonly used table types each have their own advantages and disadvantages, depending on the specific application. The basic difference is: the MyISAM type does not support advanced processing such as transaction processing, while the InnoDB type supports
5. MySQL conversion from MyISAM to InnoDB errors and common solutions
Introduction: Due to the requirements of some programs, MyISAM data engine or InnoDB is required. The following are specific solutions. After testing, some problems may occasionally occur.
6. MySQL does not support InnoDB solution
Introduction: After installing MySQL under OpenSUSE, I found that There is no option to add transaction support data engine InnoDB.
7. Linux installation MySQL 5.1.55 without innoDB data engine
Introduction: Install the database under Linux, Encountered a lot of trouble. The following is one of the troubles: After installation, there is no innodb database engine. Find a lot of information, roughly as follows: 1. Go to
8. Sun began to close some MySQL functions Source code
Introduction: According to news from the MySQL User Conference, Sun announced and former MySQL CEO Marten Mickos confirmed that Sun Microsystems will close some MySQL code. Sun began to close the source code of the MySQL backup solution, and the code for many advanced functions will no longer be open. When Oracle acquired Innodb, the data engine company used by MySQL, it released it under the GPL license. This
9. Sqlserver2008 data engine features spatial data pre-experience
Introduction: Early experience of SqlServer 2008 spatial data. This article will demonstrate how to obtain basic geographic information data, and how to import it into SqlServer2008 with the help of foreigners' tools, and then observe the query results through the query tool. Looking forward to Sqlserver 2008 official version released. 1. Install sqlserver2008. Just install the data engine. Next
10. Precautions for installing ArcSDE 10.0 (Oracle) in Linux environment (SUSE 11) 11g
#Introduction: Before learning to install ArcSDE, I think most people like me have an understanding of ArcSDE based on literal concepts, "ArcSDE , the data path, is the spatial data engine of ArcGIS, which is a path for storing and managing multi-user spatial databases in a relational database management system (RDBMS). "The concept itself is deeply abstract. But installation
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MySQL functions can be used for data processing and calculation. 1. Basic usage includes string processing, date calculation and mathematical operations. 2. Advanced usage involves combining multiple functions to implement complex operations. 3. Performance optimization requires avoiding the use of functions in the WHERE clause and using GROUPBY and temporary tables.

Efficient methods for batch inserting data in MySQL include: 1. Using INSERTINTO...VALUES syntax, 2. Using LOADDATAINFILE command, 3. Using transaction processing, 4. Adjust batch size, 5. Disable indexing, 6. Using INSERTIGNORE or INSERT...ONDUPLICATEKEYUPDATE, these methods can significantly improve database operation efficiency.

In MySQL, add fields using ALTERTABLEtable_nameADDCOLUMNnew_columnVARCHAR(255)AFTERexisting_column, delete fields using ALTERTABLEtable_nameDROPCOLUMNcolumn_to_drop. When adding fields, you need to specify a location to optimize query performance and data structure; before deleting fields, you need to confirm that the operation is irreversible; modifying table structure using online DDL, backup data, test environment, and low-load time periods is performance optimization and best practice.

Use the EXPLAIN command to analyze the execution plan of MySQL queries. 1. The EXPLAIN command displays the execution plan of the query to help find performance bottlenecks. 2. The execution plan includes fields such as id, select_type, table, type, possible_keys, key, key_len, ref, rows and Extra. 3. According to the execution plan, you can optimize queries by adding indexes, avoiding full table scans, optimizing JOIN operations, and using overlay indexes.

Subqueries can improve the efficiency of MySQL query. 1) Subquery simplifies complex query logic, such as filtering data and calculating aggregated values. 2) MySQL optimizer may convert subqueries to JOIN operations to improve performance. 3) Using EXISTS instead of IN can avoid multiple rows returning errors. 4) Optimization strategies include avoiding related subqueries, using EXISTS, index optimization, and avoiding subquery nesting.

Methods for configuring character sets and collations in MySQL include: 1. Setting the character sets and collations at the server level: SETNAMES'utf8'; SETCHARACTERSETutf8; SETCOLLATION_CONNECTION='utf8_general_ci'; 2. Create a database that uses specific character sets and collations: CREATEDATABASEexample_dbCHARACTERSETutf8COLLATEutf8_general_ci; 3. Specify character sets and collations when creating a table: CREATETABLEexample_table(idINT

To safely and thoroughly uninstall MySQL and clean all residual files, follow the following steps: 1. Stop MySQL service; 2. Uninstall MySQL packages; 3. Clean configuration files and data directories; 4. Verify that the uninstallation is thorough.

Renaming a database in MySQL requires indirect methods. The steps are as follows: 1. Create a new database; 2. Use mysqldump to export the old database; 3. Import the data into the new database; 4. Delete the old database.


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