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Technical Articles

Database

Coding specifications and tool recommendations for preventing SQL injection attacks

SQL Injection: Kill in the cradle Have you ever thought that seemingly simple database queries hide risks that are enough to destroy the entire system? SQL injection, this old opponent lurking deep in the code, is waiting for your negligence. In this article, let’s talk about how to effectively prevent SQL injection and make your application indestructible. After reading it, you will master the skills of writing secure code and learn some powerful tools that can help you easily handle SQL injection. Let’s start with the basics. The essence of SQL injection is that an attacker uses maliciously constructed SQL statements to bypass your program logic and directly operate the database. Imagine a statement that should have queryed user information and was inserted into OR1=1 by the attacker. What is the result? All user information is exposed

Apr 08, 2025 am 10:18 AM

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MySQL complete code example of combining multiple pieces of data into one

MySQL data merging is mainly implemented through the GROUP_CONCAT function and the JSON function. 1. Use the GROUP_CONCAT function to concatenate multiple records into strings, control the order and separator through ORDERBY and SEPARATOR, and GROUPBY specifies the grouping basis; 2. For complex data structures (such as JSON), use the JSON_ARRAYAGG function to merge multiple JSON objects into JSON arrays, which requires support from MySQL 5.7 or higher. The selection method depends on the data structure and complexity. Pay attention to the GROUP_CONCAT length limit and choose the optimal solution according to the actual situation.

Apr 08, 2025 am 10:15 AM

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Detailed explanation of the steps for deploying MySQL multi-instance in Linux environment

The key to deploying MySQL multi-instances under Linux is to configure independent data directories and configuration files for each instance. Specific steps: 1. Create an independent instance directory; 2. Copy and modify the configuration file to ensure that the datadir and port parameters of each instance are unique; 3. Use mysql_install_db to initialize the database of each instance; 4. Register each instance as a system service for management; 5. Reasonably allocate system resources and perform performance tuning, and back up data regularly. Only by understanding the principles behind these steps can we effectively avoid errors and ensure the stable operation of multiple instances.

Apr 08, 2025 am 10:12 AM

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How to locate SQL performance bottlenecks through slow query logs?

The main steps to optimize SQL using slow query logs: 1. Turn on the slow query log and set the execution time threshold (for example, modify the my.cnf file in MySQL); 2. Analyze the slow query log and pay attention to execution time, SQL statements and additional information (such as execution plan); 3. Find performance bottlenecks based on the log information, such as missing indexes; 4. Take optimization measures, such as adding indexes (CREATEINDEX statements) or optimizing the SQL statement itself; 5. Combining database monitoring tools and business logic comprehensive analysis, continuously monitor and optimize database performance. Ultimately, we will achieve the goal of improving database efficiency.

Apr 08, 2025 am 10:09 AM

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Password policy strengthening and regular script replacement implementation

This article describes how to use Python scripts to strengthen password policies and change passwords regularly. The steps are as follows: 1. Use Python's random and string modules to generate random passwords that meet the complexity requirements; 2. Use the subprocess module to call system commands (such as Linux's passwd command) to change the password to avoid hard-code the password directly; 3. Use crontab or task scheduler to execute scripts regularly. This script needs to handle errors carefully and add logs, and update regularly to deal with security vulnerabilities. Multi-level security protection can ensure system security.

Apr 08, 2025 am 10:06 AM

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Practical application cases of optimism and pessimistic locks in business

The choice of optimistic locks and pessimistic locks depends on business scenarios and data consistency requirements. 1. Pessimistic locks assume data conflicts, and locks ensure data consistency, but low efficiency under high concurrency, such as bank transfers; 2. Optimistic locks assume data conflict probability is low, and no locks are added, check whether the data is modified before update, with high efficiency but data inconsistency, such as e-commerce inventory management and forum comments; 3. High concurrency scenarios can consider combining optimistic locks and pessimistic locks, first optimistic lock preprocessing, and finally pessimistic lock confirmation, taking into account efficiency and data consistency. The final choice requires the trade-off between efficiency and data consistency.

Apr 08, 2025 am 10:03 AM

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MySQL dual master hot standby solution based on Keepalived

The MySQL dual master hot standby solution based on Keepalived ensures that the database service is not interrupted. 1. Keepalived monitors the database instance, and switches the VIP to the backup library when the main library fails; 2. MySQL replication function (such as GTID) ensures the synchronization and consistency of the data of the two main libraries; 3. Keepalived relies on the heartbeat package to detect the status of the main node through the VRRP protocol, and switches the VIP according to the configuration parameters (priority, detection interval, etc.). Carefully configures to avoid the phenomenon of split brain; 4. A script is required to monitor the MySQL status and troubleshoot problems in combination with logs; 5. High availability requires selecting appropriate hardware, regular backups, reasonable monitoring, and continuous maintenance and optimization.

Apr 08, 2025 am 10:00 AM

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Solution to the rollback segment inflation problem caused by large transactions

Rollback segment bloat caused by big transactions: a nightmare of database performance and how to escape from this pain many developers have experienced: database performance suddenly drops, query slows down, and even goes down directly. The culprit is often those huge affairs, which burst the rollback segment, making the database breathless. In this article, let’s discuss this issue in depth and see how to solve this headache-increasing “expansion”. The purpose of the article is to help you understand the root causes of rollback segment swelling due to large transactions and provide some effective solutions. After reading, you will be able to manage database transactions more effectively, avoid performance bottlenecks, and improve the stability and reliability of the database. Let’s start with the basics. The rollback segment is where the database uses to store transaction rollback information. Be a business

Apr 08, 2025 am 09:57 AM

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Analysis of root causes of common error codes (1045/1217/1205)

Root Cause Analysis of Common Error Codes (1045/1217/1205): Nightmare of Database Connection The goal of this article is to deeply analyze common error codes 1045, 1217 and 1205 in MySQL database connection process and provide some practical solutions and preventive measures. After reading it, you will be able to better understand the mechanisms behind these errors and effectively avoid them from reappearing in your project. Let's start with the basics. All three error codes are related to database connections, but they represent different problems. 1045 refers to access denied, usually due to a username or password error. 1217 means that the server is not responding, which may be due to server downtime or network connection issues. 1205

Apr 08, 2025 am 09:54 AM

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Analysis of MySQL Window Function Practical Case

MySQL window function: It's not just ranking. Many friends think that MySQL's window function (WindowFunction) is just used for ranking, but it is not. It has many things to do! In this article, let’s talk about the window functions, from basic to advanced usage, and then to some pitfalls, to help you master this weapon thoroughly. After reading it, you can not only easily deal with various ranking scenarios, but also flexibly use it to solve more complex data analysis problems, and even write more elegant and efficient SQL than others. Let’s talk about the basics first. The window function, simply put, calculates a set of data, but does not "compress" the data into a row like the aggregate function, but retains the number of rows of the original data and makes each row at the same time.

Apr 08, 2025 am 09:51 AM

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Using GIS functions to implement geolocation data query

Geographic location data query: It’s not just latitude and longitude. Have you ever thought that you can accurately locate a restaurant by relying solely on latitude and longitude coordinates, or find the nearest gas station to you? This seemingly simple requirement is hidden behind the powerful power of the Geographic Information System (GIS). In this article, we will explore in-depth how to use GIS functions to achieve efficient and accurate geolocation data queries, and uncover some details that you may never notice. The goal of this article is to help you understand and master the application of GIS functions in geolocation data query, allowing you to write efficient and robust code. After reading, you will be able to complete various geolocation query tasks independently and have a deeper understanding of potential performance problems and error handling. Let's review it first

Apr 08, 2025 am 09:48 AM

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Full-text index (FULLTEXT) configuration and fuzzy query optimization

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

Apr 08, 2025 am 09:45 AM

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Complete usage of mysql date function

MySQL date function: Play with time and control data. Many friends are often dizzy when processing MySQL databases. In fact, mastering MySQL's powerful date functions can simplify the complex and easily control time data. In this article, let’s explore these functions in depth so that you will no longer be tortured by date format and time calculation. After reading, you can not only be proficient in using various date functions, but also understand the principles behind them and write more efficient and elegant SQL statements. Basic preparation: Time type and format Before starting, we need to clarify the data types that store dates and times in MySQL, such as DATE, TIME, DATETIME, TIMESTAMP, etc. They each have their own characteristics

Apr 08, 2025 am 09:42 AM

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MySQL master-slave replication configuration and synchronization delay resolution policy

MySQL master-slave replication delay problems are mainly caused by excessive pressure on the master server, network delay, excessive pressure on the slave server, excessive binlog log and GTID configuration problems. Solutions include: 1. Optimize the master server resources and SQL statements; 2. Optimize the master-slave server network connection; 3. Improve the slave server resource configuration; 4. Adjust the binlog format; 5. Correctly configure GTID; 6. Consider asynchronous replication (there is a risk of data inconsistency); 7. Real-time monitoring and setting alarm thresholds. Through these methods, the MySQL master-slave replication delay can be effectively reduced and the database system can be ensured to run stably.

Apr 08, 2025 am 09:39 AM

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