Found a total of 10000 related content
Full-text index (FULLTEXT) configuration and fuzzy query optimization
Article Introduction：Full-text index: Let your database fly, and it may also make you fall into the pit. Many friends think that full-text index is a good thing, which can quickly search and improve user experience. This is true. However, the configuration and optimization of the full text index cannot be done with just a click of the mouse, and there are many tricks inside! In this article, let’s dig into the full text indexing things so that you can not only use it well, but also avoid those headache-prone pits. The purpose of this article is very simple, which is to allow you to thoroughly understand the configuration of the full-text index and fuzzy query optimization. After reading it, you can easily deal with various search scenarios like a database expert. You will learn how to choose the right index type, how to write efficient query statements, and how to deal with some common performance problems. Let's start with the basics
2025-04-08
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933
Are There Any Security Implications to Be Aware of When Using Pattern Matching in SQL?
Article Introduction：Using pattern matching in SQL (such as LIKE operators or regular expressions) does have security risks, mainly including SQL injection and performance degradation. 1) Prevent SQL injection: Always use parameterized queries or preprocessing statements. 2) Optimize performance: limit mode complexity, set query timeout, and use index. 3) Protect privacy: Use fuzzy processing technology to ensure consistency in query results. By combining data encryption and access control, security can be effectively improved.
2025-07-15
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185
Preventing SQL Full Table Scans: A Practical Approach
Article Introduction：To avoid full-table SQL scans, we need to start from three aspects: index design, query writing and statistical information maintenance. 1. Ensure that appropriate indexes are established on primary keys, foreign keys and commonly used query condition fields, but avoid over-index; 2. Avoid using functions, type conversions or leading fuzzy matching for fields in WHERE conditions to keep the query fields "clean"; 3. Regularly execute ANALYZETABLE or VACUUMANALYZE update statistics to ensure that the optimizer can make the correct execution plan choices.
2025-07-17
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939
PHP prepared statement with LIKE operator
Article Introduction：When using PHP preprocessing statements combined with LIKE for fuzzy queries, you need to pay attention to the parameter binding method and wildcard use. 1. You cannot directly write %'?%' in SQL because the question mark will be regarded as part of the string. The correct way is to pass % and search terms as parameters together or splice them on the PHP side before passing them in; 2. Multiple LIKE conditions can construct wildcard strings and bind parameters in turn, such as the fuzzy match between $searchName and $searchEmail corresponding to name and email; 3. Pay attention to the impact of input filtering, case sensitivity issues and full fuzzy query on performance to ensure that the code is safe and efficient.
2025-07-11
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920
How to Achieve Text Blink Animation with jQuery?
Article Introduction：Achieving Text Blink Animation with jQueryIn this query, we seek a simple yet effective method to create a blinking text effect using jQuery....
2024-10-30
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820
How Can JavaScript Access GET Parameters from the Query String?
Article Introduction：Unveiling Query String Manipulation: Accessing GET Parameters in JavaScriptTo capture GET request parameters within JavaScript, developers encounter a fundamental question: how to retrieve and process information transmitted via the URL. While jQuery
2024-10-18
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921
How to optimize mysql query performance? How to use mysql index?
Article Introduction：Optimizing MySQL query performance and correct use of indexes must start from four aspects: reasonable index creation, avoiding full table scanning, optimizing SQL writing, and regular table maintenance. 1. Create index reasonably, the primary key will automatically have an index. Fields commonly used for query conditions such as user ID and order number are recommended to add indexes. When combined queries are often used, joint indexes can be used and the leftmost matching principle is adhered to; 2. Avoid full table scanning, check whether to use indexes through EXPLAIN, and avoid index failure due to function operations, fuzzy query start with wildcards, type conversion, and OR connections; 3. Optimize SQL writing, avoid SELECT*, reduce data transmission, and use JOIN instead of multi-layer subqueries, and use index-based cursors when paging big data; 4. Regularly analyze and maintain tables, use
2025-06-04
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358
Under what conditions will a MySQL index not be used?
Article Introduction：MySQL index may not be used in the following situations: 1. The query conditions do not match the index column or do not start from the leftmost column of the joint index; 2. Perform function or expression operations on the index field; 3. Fuzzy queries starting with % of LIKE; 4. The query conditions do not match the index column data type; 5. The index selectivity is too low, causing the optimizer to give up on use. For example, if the joint index (name,age) is only queried, it will not take effect; using YEAR(create_time)=2023 will cause the index to be invalid; LIKE'?c' cannot go through the index and scan the full table; VARCHAR fields use numerical query to trigger implicit conversion; low-selective fields such as gender fields may be ignored by the optimizer. Mastering these situations helps
2025-06-19
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572
What are the characters % in SQL mean? Understand the % wildcard matching rules?
Article Introduction：The percent sign (%) wildcard in SQL is used to match zero or more characters. 1) It can be used for fuzzy matching, such as LIKE 'John%' matches names starting with "John" and LIKE '%son%' matches names containing "son". 2) When using it, be careful that it will affect query performance, especially when used at the beginning of the string, it may cause index failure. 3) Optimization suggestions include avoiding using % at the beginning of strings, considering using underscores (_) or full-text search engines.
2025-05-28
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407
