最近需要做分表,搜集了一些相关资料,发现分表所带来的一系列问题(如列表显示、数据搜索),代价很高且复杂,且扩展性与后期维护性也很复杂!
搞得不敢用分表了,在想MySQL自带分区功能,为什么都不用呢,偏偏用复杂的分表问题,表示很不解。
如果按取余数来分表,以后再增加表就很麻烦,用一致性哈希算法倒是个好方法,但都面临同一个难题就是查询问题,不知道大家在实际项目中是怎么处理分表问题的?不想用MySQL自带的分表功能,它不是InnoDB的。
回复内容:
最近需要做分表,搜集了一些相关资料,发现分表所带来的一系列问题(如列表显示、数据搜索),代价很高且复杂,且扩展性与后期维护性也很复杂!
搞得不敢用分表了,在想MySQL自带分区功能,为什么都不用呢,偏偏用复杂的分表问题,表示很不解。
如果按取余数来分表,以后再增加表就很麻烦,用一致性哈希算法倒是个好方法,但都面临同一个难题就是查询问题,不知道大家在实际项目中是怎么处理分表问题的?不想用MySQL自带的分表功能,它不是InnoDB的。
菜鸟说下个人的理解哈,个人觉得这个还是要看自己具体业务的需求。比如一些历史数据或者大日志数据,这些数据如果操作性要求不高的话,可以尝试分表。之前处理呼叫中心业务,每天几百万的日志数据,就用的mysql自带的merge引擎分表,业务中主要是单做展示的用途,系统感觉运行的还OK。不过这种用法貌似现在已经不推荐了。现在用的是分区表,数据量也不算大,单表差不多快1000W的数据,性能同样ok。
应该思考一下分表的初心。
分表解决了什么问题,没有解决什么问题。
mysql自带的分表貌似最大只能分1024张表,扩展还是有局限性

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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