Course2454
Course Introduction:This set of courses is based on the design concept and data structure of MySQL index, index usage scenarios, index classification, index usage scenarios, index performance analysis, query optimization, slow query of MySQL index, etc. It mainly describes the solution of MySQL index optimization. It is very suitable for students who have basic knowledge of MySQL or have certain work experience. The course explains how to solve the problem of slow large-volume queries, how to write an efficient SQL, how to optimize query statements, what is the implementation principle of indexes, how to optimize indexes... and many other difficulties and interview points in SQL index optimization.
Course3005
Course Introduction:The data visualization project uses the most popular chart engine ECharts to display all aspects of data that need to be presented in the e-commerce platform. Used to analyze the operation of e-commerce platforms in more detail in order to make correct decisions. The front-end of this project uses the Vue technology stack, the back-end uses the Koa2 framework, and the front-end and back-end data interaction uses WebSocket to ensure the real-time nature of the data. The project also supports theme switching to display cool chart effects. It also supports switching between large and small screens, ensuring that charts are presented on different screens.
Course5948
Course Introduction:How to tune SQL according to execution plan under massive data? How does the mysql index system cope with massive data storage? How to design a mysql index with excellent performance under massive data Full analysis of clustered index and non-clustered index of mysql Must-ask nouns in mysql index interview: table return, index coverage, leftmost matching How to optimize indexes for specific SQL scenarios
Course2857
Course Introduction:Course introduction: 1. Cross-domain processing, token management, route interception; 2. Real interface debugging, API layer encapsulation; 3. Secondary encapsulation of Echarts and paging components; 4. Vue packaging optimization and answers to common problems.
Course1795
Course Introduction:Apipost is an API R&D collaboration platform that integrates API design, API debugging, API documentation, and automated testing. It supports grpc, http, websocket, socketio, and socketjs type interface debugging, and supports privatized deployment. Before formally learning ApiPost, you must understand some related concepts, development models, and professional terminology. Apipost official website: https://www.apipost.cn
2023-11-16 14:36:03 0 12 290
Implement filters and pagination using Laravel Eloquent
2023-11-12 18:42:35 0 1 310
How to use open primitive tag in next js 13?
2023-11-10 23:03:51 0 1 527
Composite full-text index in MySQL
2023-11-07 18:44:49 0 2 185
2023-11-06 11:49:11 0 2 255
Course Introduction:How to batch index DeDeCms data into Taote search engine: first run the Sql statement through Mysql; then back up the "makehtml_archives_action.php" file; then enter the background and select "HTML Update - Update Document HTML"; and finally batch update.
2019-12-20 comment 01889
Course Introduction:MySQL数据库索引优化可有效提升查询性能。索引通过按特定列排序数据,快速定位满足查询条件的数据块,避免全表扫描。MySQL支持多种索引类型,包括B树索引、哈希索引、全文本索引和空间索引。创建索引需使用CREATE INDEX语句,并选择经常用于搜索或排序的列。优化索引使用包括:只为必要列创建索引、使用覆盖索引、定期维护索引。
2024-08-05 comment 0338
Course Introduction:The method of making a word index directory is: 1. Position the cursor at the location where the index directory needs to be inserted; 2. Click [Reference] and [Insert Index] in sequence; 3. Select [Indented] for the type and [Stroke] for the sorting basis. ; 4. Check [Align page numbers right] and select [From Template] for format.
2020-07-02 comment 017956
Course Introduction:The biggest function of a database index is to speed up queries. It can fundamentally reduce the number of record rows that need to be scanned. A database index is the data structure of the database. Furthermore, the data structure stores all the values of a certain column in a table. , that is to say, the index is created based on a certain column in the data table.
2020-07-03 comment 07774
Course Introduction:1. Index type Index can be divided into B-Tree index and hash index according to the underlying implementation. Most of the time we use B-Tree index because its good performance and characteristics are more suitable for building high-concurrency systems. According to the storage method of the index, the index can be divided into clustered index and non-clustered index. The characteristic of a clustered index is that the leaf nodes contain complete record rows, while the leaf nodes of a non-clustered index only have all fields and primary key IDs. According to clustered index and non-clustered index, it can be further divided into ordinary index, covering index, unique index and joint index. 2. Clustered index and non-clustered index Clustered index is also called clustered index. It is not actually a separate index type, but a data storage method. The clustered index
2023-05-26 comment 01508