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domain	yuntijiasuqi.com
summary	Okay, let's break down this PHP script execution log and understand what's happening. This log provides a detailed record of each SQL query executed by your PHP application. It's invaluable for debugging performance issues, identifying slow queries, and understanding how your application interacts with the database. Key Components of the Log: * `CONNECT:` This indicates that the script successfully connected to the MySQL database. * `UseTime:0.000162s` This is the total time (in seconds) spent executing the entire query. This is a crucial metric for identifying slow queries. * `mysql:host127.0.0.1;port3306;dbnameipcms;charsetutf8` This shows the connection parameters used to connect to the database. It confirms you're connecting to the `ipcms` database on your local machine (127.0.0.1) port 3306. * `SHOW FULL COLUMNS FROM config`: This statement retrieves all information about the `config` table in the database. This is often used during setup or maintenance. * `SELECT ... FROM ... WHERE ... LIMIT ...`: These are the actual SQL queries being executed. The log shows the complete SQL statement, the execution time, and the number of rows returned. * `RunTime:` This displays the execution time of the query in seconds. Higher values indicate slower queries. * `SELECT ... FROM ... WHERE ... ORDER BY ... LIMIT ...`: These are SELECT queries that are ordering and limiting the results. * `SELECT ... FROM ... WHERE ...`: These are SELECT queries that retrieve data. Analyzing the Log: The log shows multiple queries, each with its corresponding execution time. Let's look for some potential issues based on the `RunTime` values: 1. Long-Running Queries (High `RunTime`): * The longest query, `SELECT ... FROM download_article WHERE website_id 7987 AND type 1 AND id 66696267 ORDER BY id DESC LIMIT 4` with a `RunTime` of `0.345213s` is the most significant. This indicates that this query is taking a substantial amount of time to execute. * The query `SELECT ... FROM site_app WHERE npv like CONCAT, keyword, LIMIT 1` with a `RunTime` of `0.000166s` is short, but the repetition of this query, combined with the other slow queries, suggests it could be a bottleneck. 2. Query Types: * The log shows a mix of `SELECT` queries, `SHOW` statements, and potentially other operations. 3. Data Volume: The queries retrieving data from tables like `article` and `site_app` likely involve retrieving a large number of rows. This can contribute to execution time, especially if the queries are not optimized. What to Do with This Information: 1. Optimize Slow Queries: * Indexes: The most likely cause of the long-running query (`SELECT ... FROM download_article ...`) is a lack of appropriate indexes. Examine the `WHERE` clause to see if there are columns that should be indexed. Create indexes on the `website_id`, `type`, and `id` columns of the `download_article` table. * Query Structure: Review the query's structure. Can you simplify it? Are there unnecessary joins or subqueries? * Database Statistics: Make sure your MySQL database has up-to-date statistics. This helps the query optimizer make better decisions. Run `ANALYZE TABLE download_article` to update statistics. 2. Investigate Repeated Queries: * The repeated `SELECT ... FROM site_app WHERE ... LIMIT 1` queries are worth investigating. Are they fetching data that's frequently needed? Consider caching the results of these queries. 3. Profiling: Use MySQL's profiling tools (e.g., `SHOW PROFILE`) to get a more detailed breakdown of what's taking the most time within each query. This will help pinpoint the specific operations that are causing the slowdown. 4. Slow Query Log: Enable the MySQL slow query log. This log will record all queries that take longer than a specified threshold, making it easier to identify and address performance bottlenecks. Tools to Aid Analysis: * MySQL Workbench: Provides a graphical interface for managing your MySQL database and executing queries. * phpMyAdmin: A web-based tool for managing MySQL databases. * Xdebug: A PHP extension for debugging and profiling. Can be used to step through your code and see exactly what's happening. * Database Monitoring Tools: Tools like Percona Monitoring and Management (PMM) can provide real-time insights into your database performance. How to Get More Information From the Log: 1. Increase Logging Level (if possible): If your PHP application or logging framework allows, increase the logging level to include more detailed information about each query, such as the execution plan. 2. Analyze the SQL: Carefully examine the SQL statements themselves. Are they correct? Are they written in a way that's efficient for the database? To help you further, can you provide the following information: * The code that generates the SQL queries: Knowing the PHP code that's creating the SQL queries is crucial for understanding how they're being constructed. * The database schema: The table names, column names, and data types. * The purpose of the application: What is the application doing? (e.g., e-commerce site, blog, etc.)
title	30-minute trial of the accelerator - an accelerator that can watch twitch - an accelerator that can permanently turn the country around
description	The 30-minute trial of the accelerator is permanently free and helps overseas Chinese to access the Chinese network without any worries, lift regional restrictions, lift copyright restrictions, and unlock domestic applications such as video, music, sports, and live broadcasts with one click. The cracked version of Ant npv accelerator downloader can be used freely on iQiyi/Youku/Bilibili/Tencent Video/QQ Music/NetEase Cloud Music/Kugou Music, etc.
keywords	limit, like, show, full, columns, order, type, article, beta, website, description, http, queries, reads
upstreams
downstreams
nslookup	A 172.67.186.31, A 104.21.76.31
created	2026-02-07
updated	2026-02-07
summarized	2026-02-08

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