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domain	ibro1.info
summary	Okay, let's break down this information. This output represents a series of database queries executed against a system likely named "ipcms". It's a detailed log showing the timing and structure of each query, providing valuable insights for performance analysis and debugging. Overall Structure of the Output The output is organized into two primary sections: 1. `SHOW FULL COLUMNS FROM ...`: This section displays metadata about each table in the database (e.g., `config`, `website`, `website_friendlink`, `download_article`, `site_app`, `article`). It includes information like table name, engine type, character set, collation, and column names, data types, and nullability. The `RunTime` column indicates the time (in seconds) taken to execute this metadata retrieval query. 2. `SELECT ... FROM ...`: This section contains the actual SQL queries that were executed. It also includes crucial information like: * `RunTime`: The execution time of the query. * `CONNECT`: The connection details used for the query (host, port, database name, character set). * `SELECT`: The SQL query itself. Key Observations and Potential Implications 1. Frequent Queries on `site_app`: The `SELECT` statements against the `site_app` table are executed very frequently (multiple times in a short period). This is a primary candidate for performance optimization. The queries use `LIKE` operations to search for keywords (e.g., "app", "vpn", "vps", "npv"). Using `LIKE` with leading wildcards (`%`) can be slow, especially on large tables. Consider: * Indexing: Ensure that the `keyword` column in `site_app` is properly indexed. An index will drastically speed up the `LIKE` queries. * Full-Text Search: If you need to perform complex keyword searches, consider using a full-text search engine (e.g., MySQL's FULLTEXT index or a dedicated search service). * Alternative Query Strategies: If possible, refine the search criteria to be more specific. 2. Queries on `download_article` and `article`: These tables are queried frequently as well, particularly when retrieving articles by their ID or related criteria. Make sure indexes are in place to speed up these lookups. 3. Specific Queries and Their Execution Times: Pay close attention to the `RunTime` values. Longer execution times indicate potential bottlenecks. These could be: * Slow Queries: Analyze the SQL queries themselves to see if they can be optimized. * Database Server Load: High server load can significantly impact query execution times. 4. Metadata Queries: The `SHOW FULL COLUMNS FROM ...` queries are relatively fast, which is expected. Recommendations 1. Index Analysis: Immediately investigate the indexing strategy of the database. Ensure appropriate indexes exist on all columns used in `WHERE` clauses and `JOIN` conditions. 2. Query Optimization: Review the `SELECT` statements, especially those against `site_app`. Identify opportunities to use more efficient SQL syntax. 3. Database Monitoring: Set up database monitoring tools to track query execution times, server load, and other performance metrics. This will help you proactively identify and address performance issues. 4. Slow Query Logging: Enable slow query logging in your database server. This will automatically log queries that exceed a specified execution time threshold. 5. Consider Full-Text Search: If the keyword searches on `site_app` are frequently used and complex, investigate the use of a full-text search engine. In summary: This log suggests potential performance issues primarily related to frequent searches on the `site_app` table. Careful indexing, query optimization, and monitoring are recommended to address these concerns. The detailed timing information will help prioritize your efforts.
title	Banana accelerator-banana accelerator unlocked version-banana vp acceleration organ network-banana accelerator unlimited traffic
description	About Banana Accelerator. Headquartered in Singapore, it is a company focused on international network information security and game software development. Banana Accelerator is a product of our company that focuses on user information encryption, network security, and network acceleration.
keywords	limit, like, show, full, columns, order, type, article, games, website, description, http, queries, reads
upstreams
downstreams
nslookup	A 104.21.38.42, A 172.67.218.197
created	2025-11-10
updated	2025-11-10
summarized	2026-02-07

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