Tactic Links - Organic Traffic Booster - Home

Path: Home > List > Load (xiaolanniao.org)

domain	xiaolanniao.org
summary	Okay, let's break down this information. This output is from a database query execution analysis, likely using a tool like `pt-query-digest` or a similar database performance monitoring system. Here's what each part means: 1. `CONNECT: UseTime:0.000143s mysql:host127.0.0.1;port3306;dbnameipcms;charsetutf8` * `CONNECT`: This indicates that the query successfully connected to the database server. * `UseTime:0.000143s`: This is the most critical piece – it represents the total time (in seconds) the database took to execute the query. A value of `0.000143s` is very fast, indicating a highly optimized query and a responsive database. * `mysql:host127.0.0.1;port3306;dbnameipcms;charsetutf8`: This specifies the details of the connection: * `mysql`: The database system being used (MySQL). * `host127.0.0.1`: The hostname where the database server is running (localhost). * `port3306`: The port number MySQL is listening on (the default). * `dbnameipcms`: The name of the database the query was executed against. * `charsetutf8`: The character set of the database. 2. `SHOW FULL COLUMNS FROM config` RunTime:0.000162s * This is a command to show all column information for a table named `config`. It's a simple operation, and the `RunTime` of 0.000162s confirms its quick execution. This likely happens as part of the application startup or initialization. 3. `SHOW FULL COLUMNS FROM website` RunTime:0.000260s * Similar to the above, this command shows column information for the `website` table, taking 0.000260s to complete. 4. SQL Query Execution Times (The Bulk of the Output) This section provides a breakdown of the timing for multiple SQL queries. The format is: `SELECT FROM [table_name] WHERE [conditions] LIMIT [limit] RunTime: [time_in_seconds]` Let's break down some typical examples: * `SELECT FROM website WHERE type download AND id 10289 LIMIT 1 RunTime:0.000139s` * This query selects data from the `website` table where the `type` is "download" and the `id` is 10289. It limits the results to a single row. The `RunTime` of 0.000139s indicates the time it took to fulfill this specific criteria. * `SELECT FROM website_friendlink WHERE website_id 10289 RunTime:0.000175s` * This query selects data from the `website_friendlink` table where the `website_id` is 10289. It's a simple lookup. * `SELECT FROM download_article WHERE website_id 10289 ORDER BY id DESC LIMIT 3 RunTime:0.000135s` * Selects from the table `download_article` where the website_id is 10289, sorts the results by `id` descending, and limits the results to 3 rows. * `SELECT FROM article WHERE id IN 1385562,1880113,1665219,1330900 RunTime:0.000107s` * This query selects data from the `article` table where the `id` is one of the specified values. The `IN` operator is a common and usually efficient way to perform this type of lookup. Key Observations & What They Mean * Fast Overall Performance: The vast majority of the `RunTime` values are extremely low (in the microsecond range – 0.0001 to 0.0002 seconds). This suggests that the queries are well-optimized, the database server is performing well, and the database connections are handled efficiently. * `SELECT ... FROM ... WHERE ...` Performance: The timing varies depending on the complexity of the `WHERE` clause. Simple equality checks (`id = 10289`) are very fast. Using `IN` operators is also generally efficient. * `ORDER BY` and `LIMIT`: The `ORDER BY id DESC LIMIT 3` query takes slightly longer than the others because it needs to sort the results before limiting them. * Large `IN` Queries: Queries using `IN` operators with many values are generally more efficient than equivalent queries using multiple `OR` clauses. In summary, this output shows a database that is performing exceptionally well. The queries are executing very quickly, indicating good database design, appropriate indexing (which isn't explicitly shown in this analysis), and a healthy database server. Important Note: This analysis only tells you how long the queries took. It doesn't tell you why they were fast or slow. To truly optimize performance, you'd need to investigate: * Indexing: Are appropriate indexes defined on the tables to speed up the `WHERE` clause filters? * Query Structure: Could the SQL queries be rewritten for better efficiency? * Database Server Configuration: Are the database server parameters (memory allocation, connection pool size, etc.) properly configured? * Hardware: Is the database server running on sufficient hardware (CPU, RAM, disk I/O)?
title	Little Bluebird Accelerator - Little Bluebird Accelerator Android - Little Bluebird Web Version - An accelerator that can watch Little Bluebird
description	The little blue bird accelerator is as fast as lightning! It can effectively solve the problems of network lag and high latency, allowing you to enjoy silky-smooth Internet speeds and get the ultimate experience whether you are playing games, watching videos or surfing the Internet.
keywords	limit, like, show, full, columns, order, type, article, website, description, http, queries, reads
upstreams
downstreams
nslookup	A 104.21.40.222, A 172.67.188.127
created	2025-11-08
updated	2025-11-08
summarized	2026-01-31

HIGHSPOTS
tacticlinks.com
decoupled.ai
shuken.io
twinllamas.ai
3e9.me
greenpeace.org
escrache.org