In order to facilitate everyone's better understanding of the use of ChatDBA, we have collected some common failure cases of DBAs, and analyzed the causes of the failures with ChatDBA. Let's take a look together.
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Problem
After upgrading from MySQL 5.6 to 5.7, a new user named sky1@%
was created, but the error "Access denied" was reported when logging in through socket.
Ask ChatDBA
The 1st Round
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ChatDBA, from the perspective of junior and intermediate DBAs and based on the idea of "step-by-step troubleshooting", provided the troubleshooting directions of 「Problems caused by anonymous users」 → 「Password or user permission configuration errors」 → 「Change the client to rule out software/environment issues」 → 「View the error log for in-depth troubleshooting」.
The coverage of the troubleshooting directions is sufficient to solve most typical scenarios and is highly targeted. At the same time, ChatDBA ensured the specificity and executability of the answers through specific problem descriptions and specific instruction contents.
Finally, in the summary, ChatDBA proposed several possible reasons (no permission, conflicts with anonymous users, etc.) based on the troubleshooting ideas.
The 2nd Round
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Based on the MySQL user table information supplemented by the user, ChatDBA conducted a more targeted analysis of the root cause of the problem, pointed out that the existence of anonymous users might prevent the sky1
user from logging in normally, demonstrating the ability to adjust the diagnostic thinking based on the information provided by the user. Based on this, ChatDBA further proposed the corresponding specific solutions.
Furthermore, ChatDBA also prompted the user to provide more relevant information (such as MySQL error logs, socket file paths and permissions, etc.) to facilitate further analysis of potential problems.
Ask GPT-o1
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For the same problem, let's ask GPT-o1.
The answer content of GPT-o1 is extensive, mentioning several key solutions: creating users with appropriate permissions, adjusting connection methods, authentication plugins, and other key points. At the same time, GPT-o1 systematically introduces the user definitions of MySQL and the connection methods.
GPT-o1 has an in-depth explanation of the occurrence of the problem, covering from possible principles to feasible operations.
ChatDBA vs GPT-o1
The answer content of GPT-o1 is extensive, mentioning various possibilities and having a wide coverage. It is suitable for users to "fully understand" the problem and the related knowledge. However, due to the large amount of information, users may be "at a loss" when troubleshooting and need to screen by themselves which scenario best fits the problem. Therefore, it lacks the shortest path to solve the problem.
ChatDBA, on the other hand, provides a relatively direct troubleshooting idea, covering the common factors that cause the problem. At the same time, each step is equipped with clear and understandable operation instructions, which is highly executable and suitable for junior DBAs to conduct step-by-step troubleshooting.
When users prefer to "quickly locate and solve the problem", the troubleshooting idea sorted by common scenarios and the clear and understandable operation examples of ChatDBA are likely to help users solve the problem quickly.