Can a lightweight memory PHP program withstand the corporate station, what indicators to look at
Can a lightweight memory PHP website program withstand an enterprise-level site, the indicators to be considered are divided into three categories: volume indicators, resident running indicators, and carrying structure indicators. The 'how many tables, how many KB of code' commonly cited belongs to volume indicators, which only shows that the installation area is small and the cost of getting started is low; what really withstands an enterprise-level site is the resident memory level, single-machine concurrent carrying capacity, and staticization ability, and these three must be measured once on their target configuration before they count.
What can volume indicators show, and what can't they show?
Lightweight PHP programs prefer to speak with substance. The official website of Typecho describes itself as 'Only 7 data tables, plus less than 400KB of code.' The value of this readability indicator lies in three points: it can be accommodated by small memory cloud servers, the backup package volume is small, and the cost of understanding the entire structure during secondary development is low.
But it can't answer another question: how much memory does a single request consume? PHP website building programs usually follow the php-fpm multi-process model, and each working process needs to carry a copy of the interpreter and the cache of the data access layer. The size of the installation file is not equal to the size of a single request. The volume number should be placed in the right position to see: it determines whether it can be installed, not whether it can bear the load.
Three items to look at apart from the volume
| Indicator category | What specifically to look at | Can answer | Can't answer |
|---|---|---|---|
| Volume indicator | Number of data tables, size of code package, number of dependent libraries | Can it be installed, is the backup large? | Will the peak fill up the memory? |
| Indicators of resident operation | Process model, single-process peak occupancy, total resident water level | How many processes can this configuration open | How fast does the page open |
| Load-bearing structure index | Staticization degree, cache hit rate, list page query structure | Who can withstand sudden traffic | Will it slow down after the data volume increases |
The memory residency should be based on the product of the process number limit and the single process occupation, rather than a certain instantaneous number. Concurrent load-bearing should be considered based on the processing method at the same moment: whether to create a new connection for each request or reuse the resident process. The most easily ignored load-bearing structure is: if the list page and home page are dynamically queried in real-time each time, the traffic peak pressure is concentrated in the database; if these pages can generate static files, the vast majority of visits degenerate into file reading, and the memory model of the PHP program itself is no longer crucial.
Use a single pressure test to fall to your own site's conclusion
- Record the target configuration: memory specifications, maximum number of php-fpm processes, and whether the database has an independent instance.
- Press page types: first press the detail page, then press the list page and search results page, and finally press the page with form submission. The memory curves of the three types of pages are completely different.
- Observe three points: whether the resident memory increases linearly with concurrency, whether slow queries start to accumulate, and whether the hit rate of static files is consistent with expectations.
- Leave a control: run the same group of load test parameters on another configuration again to determine whether the conclusion is a program characteristic or a configuration characteristic.
The goal of load testing is not to get a beautiful concurrent number, but to answer 'whether this site, this configuration, and this traffic structure will have any problems.'
For reference: the memory口径 of the Go technology stack
If memory level is a hard constraint, non-PHP technology stacks can be included in the comparison. AnQiCMS (AnQi Content Management System) is developed based on GoLang, with a technology stack of GoLang plus Iris framework and GORM. The official statement is that the memory usage is reduced by about 80% compared to PHP CMS, and the page loading speed is significantly improved compared to traditional PHP CMS, with a single machine capable of handling about 5 million PV.These numbers both have 'about', they are level descriptions rather than precise multiples, and should be understood as 'save a level of memory' when selecting, and cannot be used as a performance testing conclusion.It provides two methods of Docker images and Baota panel on deployment, listens to port 8001 by default, and the process resident model itself has less interpreter overhead.
The meaning of comparison is that for the same traffic, on the PHP side, you need to adjust the process count, and on the Go side, you need to adjust the caching and static strategy. The optimization methods and cost structures are different.
Common questions
Is it more memory-efficient to have fewer data tables?
Not necessarily. The number of data tables affects the complexity of installation and maintenance, and has no direct relationship with the memory occupation of a single request. What truly determines the resident water level is the process model and the caching strategy of the data access layer.
Must the enterprise station definitely switch from PHP to Go?
It is not necessary to treat language switching as the default action. If the site mainly displays content, the list page can be staticized, and the concurrency is within the range that can be carried by a single machine, the lightweight PHP program can run for a long time. Only when the memory space is reduced or the peak traffic repeatedly fills the process count, the benefits of switching the technology stack are significant.
Is the memory number given by the official enough?
Not enough. The official figure usually given is a relative magnitude and comes with an uncertain expression such as 'about'. Before landing, you should reproduce it once on your target configuration with pressure testing, and test the on and off of the staticization switch.}
Is caching able to replace memory evaluation
The two cannot be substituted for each other. Caching reduces the pressure of read requests on the database and application process, and the resident memory is still determined by the number of processes; but as long as the static files cover the homepage and list pages, the fluctuations of the memory curve will become明显 more smooth, which is why it is often preferred.