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domain	qiyeym163.com
summary	Okay, let's break down this output. This is a collection of database queries and performance statistics generated by a PHP application (likely using Laravel, judging by the `ht_` table names and the use of `SELECT` statements). Here's a breakdown of what we can see: 1. Database Connection Details: `CONNECT: UseTime:0.014253s`: The time taken to establish the database connection. This is generally a small overhead. * `mysql:hostsh-cdb-1djujyo4.sql.tencentcdb.com;port20476;dbnameweb_thetengxi;charsetutf8`: Details of the MySQL database connection: * `host`: The server address where the database resides. * `port`: The port number used for the connection (typically 3306 for MySQL). * `dbname`: The name of the database being accessed. * `charset`: The character set used for the database (UTF-8 is very common). 2. Query Execution Statistics (RunTime): The `RunTime` values represent the total time taken to execute each specific SQL query. This is the most important part for identifying performance bottlenecks. Lower times are better. * `SHOW FULL COLUMNS FROM ht_column`: (0.014253s) - Retrieving column information from the `ht_column` table. * `SELECT ... FROM ht_column WHERE ...` (various queries): (Ranges from 0.0092s to 0.0102s) - These queries are retrieving data from the `ht_column` table based on criteria like `column_com` (column common), `column_state`, and `column_level`. These seem to be fetching column definitions or configurations. * `SELECT ... FROM ht_juhe`: (0.0092s) - Selecting data from the `ht_juhe` table (likely related to "juhe"). * `SELECT ... FROM ht_info_wy`: (Ranges from 0.0092s to 0.0101s) - Selecting data from the `ht_info_wy` table (likely related to "info wy"). These queries are fetching information, possibly website statistics. * `SELECT ... FROM ht_basic`: (0.0093s) - Selecting data from the `ht_basic` table. * `SELECT ... FROM ht_friend`: (0.0093s) - Selecting data from the `ht_friend` table. 3. Table Names (ht_): The table names all start with `ht_`, which suggests this is likely a custom application's database schema, probably hosted on Tencent Cdb. 4. Key Observations and Potential Issues: * Slow Queries: The `SELECT ... FROM ht_info_wy` queries (0.0092s - 0.0101s) and the `SHOW FULL COLUMNS FROM ht_column` (0.014253s) are taking the most time, and the highest runtimes, making them potential performance bottlenecks. These would require further investigation. * Index Usage: The `RunTime` values suggest that the queries might not be using indexes effectively. It's possible that the tables are large and scanning without optimized indexes is causing slowdowns. * Query Complexity: The `WHERE` clauses in the queries on `ht_info_wy` could be complex and impacting performance. Recommendations for Optimization: 1. Analyze Query Plans: Use a database tool (like MySQL Workbench or phpMyAdmin) to view the query execution plans for the slow `ht_info_wy` queries. This will reveal how the database is executing the queries and identify missing indexes or other inefficiencies. 2. Add Indexes: Based on the query plans, add appropriate indexes to the `ht_info_wy` table (and possibly other tables) to speed up data retrieval. Common columns to index in a website stats table would be `info_intime`, `info_visits`, and potentially `info_tj`. 3. Optimize Queries: Rewrite complex `WHERE` clauses to be more efficient. Ensure the queries are using the most appropriate filters and selection criteria. 4. Database Server Performance: Ensure the MySQL server itself is adequately sized and configured for the application's workload. Monitor the server's CPU, memory, and disk I/O. To give you more specific advice, I'd need to know: * The purpose of the application: What does the website/application do? What data is being retrieved and processed? * The data structure: What are the columns in the `ht_column`, `ht_juhe`, `ht_info_wy`, `ht_basic`, and `ht_friend` tables? * The database schema: A diagram or description of the relationships between the tables. I hope this thorough analysis is helpful! Let me know if you can provide any additional information, and I'll do my best to assist you further.
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keywords	order, limit, show, full, columns, outlook, https, queries, reads
upstreams
downstreams
nslookup	A 121.5.38.16
created	2026-02-16
updated	2026-02-16
summarized	2026-02-19

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