


Part of the data in a certain table in Mysql has been deleted inexplicably. How can I find out the reason?
The database is Mysql and has a user table. There are currently 144059 user information in it. There has been feedback recently that some users have registered before, but then find that they cannot log in after a while and need to register again. The website is PHP. After getting the feedback, I checked the cron job and logs, etc., but couldn't find the reason. (The reason why you can't log in is that the user's information has been deleted)
So, I would like to ask you where to start.
++++++++++++++++++++++++++++++++++++++++++
Modified some permissions After that, the loss of users never happened (it has been 2 months). However, the reason for the previous loss of users has never been found.
Anyway, case closed.
Reply content:
The database has logs (not referring to the text logs that people can see). You can just find the transaction ID of the delete statement and roll back there. Arrest all the programmers who have access to the data, and then use the tiger bench and pepper water. Within an hour, someone will admit that they secretly deleted it. To find the reason, just analyze the logIf the log information is incomplete, then complete it if necessary
In addition, does anyone doubt sql inject? After MySQL turns on binlog, write operations will be recorded in the binary log. You can use mysqlbinlog to view/export/recover data.
Assume that you have previously performed a mysqldump full backup and a binlog incremental backup (use the parameter - during mysqldump full backup) -flush-logs clears the binlog before full backup).
First restore the previous full backup with mysqldump, and then use mysqlbinlog to perform point-in-time restore:
mysql -uroot -prootpwd db_name < db_name.sql
mysqlbinlog --stop-datetime="2013-10-12 12:30:00" /var/log/mysql/mysql-bin.000001 | mysql -uroot -prootpwd
Let’s check the code logic first. The inexplicable loss of several records is unlikely to be a problem with the database itself or the hard disk. Even if you get the data back, if the code logic is wrong, you will still lose data in the future.
Hard drive data is lost!
Take percona 5.6 as an example: There are two methods:
1 Use general_log
2 Use audit plug-in
1 Use general_log
Open general_log
set global general_log=on;
mysql> show variables where value like '%table%'
-> ;
+------------------------------+-----------------------+
| Variable_name | Value |
+------------------------------+-----------------------+
| log_output | TABLE |
| slave_rows_search_algorithms | TABLE_SCAN,INDEX_SCAN |
| tx_isolation | REPEATABLE-READ |
+------------------------------+-----------------------+
3 rows in set (0.00 sec)
You can use Datahekr database middleware, which has a SAAS version and can provide more detailed audit information than the LOG function that comes with the database.
There are slow query logs, executed SQL logs, error logs, etc. in the database.
What’s still popular is the ease of use, flexibility and a strong ecosystem. 1) Ease of use and simple syntax make it the first choice for beginners. 2) Closely integrated with web development, excellent interaction with HTTP requests and database. 3) The huge ecosystem provides a wealth of tools and libraries. 4) Active community and open source nature adapts them to new needs and technology trends.

PHP and Python are both high-level programming languages that are widely used in web development, data processing and automation tasks. 1.PHP is often used to build dynamic websites and content management systems, while Python is often used to build web frameworks and data science. 2.PHP uses echo to output content, Python uses print. 3. Both support object-oriented programming, but the syntax and keywords are different. 4. PHP supports weak type conversion, while Python is more stringent. 5. PHP performance optimization includes using OPcache and asynchronous programming, while Python uses cProfile and asynchronous programming.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.


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