Low memory setup zh HK
้่ ้ซๆง่ฝ่จญ็ฝฎ ๆญฃๅฅฝ็ธๅ๏ผๅฆๆๆจๆณๆธๅฐ ASF ็่จๆถ้ซไฝฟ็จ๏ผ่ซ้ตๅพช้ไบๆ็คบไปฅ้ไฝๆด้ซๆง่ฝ็ๆๆฌใ
ๆ นๆๆจ็ไฝฟ็จๆ ๆณ๏ผASFๅจ่ณๆบไธ้ๅธธ่ผ้็ด๏ผๅณไฝฟๆฏไฝฟ็จ128 MB VPSไนๅฏไปฅๅจLinuxไธ้่กๅฎ๏ผๅ็ฎกไธๆจ่ฆ้้บผไฝ็้ ็ฝฎ๏ผๅ ็ฒๅฏ่ฝๆๅฐ่ดๅ็จฎๅ้กใ ๅจ่ผ่ฃไธ้ฃ็ๅๆ๏ผASF ไธฆไธๅฎณๆ่ฆๆฑๆไฝ็ณป็ตฑๆไพๆดๅค็่จๆถ้ซไปฅๆฏๆดๅ ถไปฅๆไฝณ้ๅบฆ้่กใ
ไฝ็บๆ็จ็จๅบ๏ผASF ่ฉฆๅ็กๅฏ่ฝๅฐๅชๅๅ้ซๆ๏ผ้ไน่ๆ ฎไบๅจๅท่กๆ้ไฝฟ็จ็่ณๆบใ ็ถๆถๅๅฐ่จๆถ้ซๆ๏ผASF ๆดๅๆญกๆๅๆง่ฝ่ไธๆฏ็ฏ็่จๆถ้ซ๏ผ้ๆๅฐ่ด่จๆ่จๆถ้ซโๅณฐๅผโ๏ผไพๅฆ๏ผๆจๅฐๆๆณจๆๅฐ๏ผASFๅฐๅพๅ ทๆ3ๅไปฅไธๅพฝ็ซ ้ ้ข็ๅธณๆถ็ฒๅไธฆ่งฃๆ็ฌฌไธ้ ๏ผๅพไธญ่ฎๅ็ธฝ้ ๆธ๏ผ็ถๅพ็บๆฏๅ้กๅค้ ้ขๅๅ็ฒๅไปปๅ๏ผ้ๅฐ่ดไธฆ็ผ็ฒๅๅ่งฃๆๅฉ้ค้ ้ขใ โ้กๅคโ่จๆถ้ซไฝฟ็จ๏ผ่ๆไฝ็ๆๅฐๅผ็ธๆฏ๏ผๅฏไปฅ้กฏ่ๅ ๅฟซๅท่กๅๆด้ซๆง่ฝ๏ผๅๆๅขๅ ไธฆ่กๅท่กๆๆ้ไบๆไฝๆ้็่จๆถ้ซไฝฟ็จๆๆฌใ ้กไผผ็ไบๆ ็ผ็ๅจๅฏไปฅไธฆ่ก้่ก็ๆๆๅ ถไปๅธธ่ฆASFไปปๅไธ๏ผไพๅฆ่งฃๆๆดป่บไบคๆๅ ฑๅน๏ผASFๅฏไปฅ็ซๅณ่งฃๆๆๆ้ไบๅ ฑๅน๏ผๅ ็บๅฎๅๅฝผๆญค็จ็ซใ On top of that, ASF (C# runtime) will not return unused memory back to OS immediately afterwards, which you can quickly notice in form of ASF process only taking more and more memory, but (almost) never giving that memory back to the OS. Some people may already find it questionable, maybe even suspect a memory leak, but don't worry, all of this is to be expected.
ASF ็ถ้ไบ้ๅธธๅฅฝ็ๅชๅ๏ผไธฆๆ็กๅฏ่ฝๅฐๅฉ็จๅฏ็จ็่ณๆบใ ASF็้ซๅ
งๅญไฝฟ็จ็ไธฆไธๆๅณ่ASFไธปๅไฝฟ็จ่ฉฒ่จๆถ้ซไธฆ้่ฆๅฎใ ASF้ๅธธๆๅฐๅ้
็่จๆถ้ซไฝ็บๆชไพๆไฝ็โ็ฉบ้โ๏ผๅ ็บๅฆๆๆๅไธ้่ฆ็บๆๅๅณๅฐไฝฟ็จ็ๆฏๅ่จๆถ้ซๅก่ฉขๅๆไฝ็ณป็ตฑ๏ผๆๅๅฐฑๅฏไปฅๅคงๅน
ๆ้ซๆง่ฝใ ็ถๆไฝ็ณป็ตฑ็ๆญฃ้่ฆๅฎๆ๏ผ้่กๆๆ่ชๅๅฐๆชไฝฟ็จ็ASF่จๆถ้ซ้ๆพๅๆไฝ็ณป็ตฑใ ๆผ่จๆถ้ซ่่จ๏ผๆชไฝฟ็จๅณๆตช่ฒปใ ็ถๆจ้่ฆ็ๅ
งๅญ้ซๆผๅฏ็จ็ๅ
งๅญๆ๏ผๆจๅฏ่ฝๆ้ๅฐๅ้ก๏ผ้ไธฆไธๆฏๅ ็ฒASFไฟ็ไธไบ้กๅค็ๅ้
ไปฅๅ ้็จๅพๅฐๅท่ก็ๅ่ฝใ You run into problems when your Linux kernel is killing ASF process due to OOM (out of memory), not when you see ASF process as top memory consumer in htop.
Garbage collection process used in ASF is a very complex mechanism, smart enough to take into account not only ASF itself, but also your OS and other processes. When you have a lot of free memory, ASF will ask for whatever is needed to improve the performance. This can be even as much as 1 GB (with server GC). When your OS memory is close to being full, ASF will automatically release some of it back to the OS to help things settle down, which can result in overall ASF memory usage as low as 50 MB. The difference between 50 MB and 1 GB is huge, but so is the difference between small 512 MB VPS and huge dedicated server with 32 GB. If ASF can guarantee that this memory will come useful, and at the same time nothing else requires it right now, it'll prefer to keep it and automatically optimize itself based on routines that were executed in the past. The GC used in ASF is self-tuning and will achieve better results the longer the process is running.
This is also why ASF process memory varies from setup to setup, as ASF will do its best to use available resources in as efficient way as possible, and not in a fixed way like it was done during Windows XP times. The actual (real) memory usage that ASF is using can be verified with stats command, and is usually around 4 MB for just a few bots, up to 30 MB if you use stuff like IPC and other advanced features. Keep in mind that memory returned by stats command also includes free memory that hasn't been reclaimed by garbage collector yet. Everything else is shared runtime memory (around 40-50 MB) and room for execution (vary). This is also why the same ASF can use as little as 50 MB in low-memory VPS environment, while using even up to 1 GB on your desktop. ASF is actively adapting to your environment and will try to find optimal balance in order to neither put your OS under pressure, nor limit its own performance when you have a lot of unused memory that could be put in use.
Of course, there are a lot of ways how you can help point ASF at the right direction in terms of the memory you expect to use. In general if you don't need to do it, it's best to let garbage collector work in peace and do whatever it considers is best. But this is not always possible, for example if your Linux server is also hosting several websites, MySQL database and PHP workers, then you can't really afford ASF shrinking itself when you run close to OOM, as it's usually too late and performance degradation comes sooner. This is usually when you could be interested in further tuning, and therefore reading this page.
Below suggestions are divided into a few categories, with varied difficulty.
Below tricks do not affect performance negatively and can be safely applied to all setups.
- Run generic version of ASF if possible. Generic version of ASF uses less memory since it doesn't include runtime inside, doesn't come as single file, doesn't need to unpack itself on run, and is therefore smaller and has less memory footprint. OS-specific packages are handy and convenient, but they're also bundled with everything needed to launch ASF, which is something you can take care of yourself and use generic ASF variant instead.
- Never run more than one ASF instance. ASF is meant to handle unlimited number of bots all at once, and unless you're binding every ASF instance to different interface/IP address, you should have exactly one ASF process, with multiple bots (if needed).
- Make use of
ShutdownOnFarmingFinishedin bot'sFarmingPreferences. Active bot takes more resources than deactivated one. It's not a significant save, as the state of bot still needs to be kept, but you're saving some amount of resources, especially all resources related to networking, such as TCP sockets. You can always bring up other bots if needed. - Keep your bots number low. Not
Enabledbot instance takes less resources, as ASF doesn't bother starting it. Also keep in mind that ASF has to create a bot for each of your configs, therefore if you don't need tostartgiven bot and you want to save some extra memory, you can temporarily renameBot.jsonto e.g.Bot.json.bakin order to avoid creating state for your disabled bot instance in ASF. This way you won't be able tostartit without renaming it back, but ASF also won't bother keeping state of this bot in memory, leaving room for other things (very small save, in 99.9% cases you shouldn't bother with it, just keep your bots withEnabledoffalse). - Fine-tune your configs. Especially global ASF config has many variables to adjust, for example by increasing
LoginLimiterDelayyou'll bring up your bots slower, which will allow already started instance to fetch badges in the meantime, as opposed to bringing up your bots faster, which will take more resources as more bots will do major work (such as parsing badges) at the same time. The less work that has to be done at the same time - the less memory used.
Those are a few things you can keep in mind when dealing with memory usage. However, those things don't have any "crucial" matter on memory usage, because memory usage comes mostly from things ASF has to deal with, and not from internal structures used for cards farming.
The most resources-heavy functions are:
- Badge page parsing
- Inventory parsing
Which means that memory will spike the most when ASF is dealing with reading badge pages, and when it's dealing with its inventory (e.g. sending trade or working with STM). This is because ASF has to deal with really huge amount of data - the memory usage of your favourite browser launching those two pages will not be any lower than that. Sorry, that's how it works - decrease number of your badge pages, and keep number of your inventory items low, that can for sure help.
Below tricks involve performance degradation and should be used with caution.
The recommended way of applying those settings is through DOTNET_ environment properties. Of course, you could also use other methods, e.g. runtimeconfig.json, but some settings are impossible to be set this way, and on top of that ASF will replace your custom runtimeconfig.json with its own on the next update, therefore we recommend environment properties that you can set easily prior to launching the process.
.NET runtime allows you to tweak garbage collector in a lot of ways, effectively fine-tuning the GC process according to your needs. We've documented below properties that are especially important in our opinion.
Specifies the allowable GC heap usage as a percentage of the total physical memory.
The "hard" memory limit for ASF process, this setting tunes GC to use only a subset of total memory and not all of it. It may become especially useful in various server-like situations where you can dedicate a fixed percentage of your server's memory for ASF, but never more than that. Be advised that limiting memory for ASF to use will not magically make all of those required memory allocations go away, therefore setting this value too low might result in running into out of memory scenarios, where ASF process will be forced to terminate.
On the other hand, setting this value high enough is a perfect way to ensure that ASF will never use more memory than you can realistically afford, giving your machine some breathing room even under heavy load, while still allowing the program to do its job as efficiently as possible.
Configures the garbage collector to conserve memory at the expense of more frequent garbage collections and possibly longer pause times.
A value between 0-9 can be used. The bigger the value, the more GC will optimize memory over performance.
Specifies the amount of memory used after which GC becomes more aggressive.
This setting configures the memory threshold of your whole OS, which once passed, causes GC to become more aggressive and attempt to help the OS lower the memory load by running more intensive GC process and in result releasing more free memory back to the OS. It's a good idea to set this property to maximum amount of memory (as percentage) which you consider "critical" for your whole OS performance. Default is 90%, and usually you want to keep it in 80-97% range, as too low value will cause unnecessary aggression from the GC and performance degradation for no reason, while too high value will put unnecessary load on your OS, considering ASF could release some of its memory to help.
Specifies the GC latency level that you want to optimize for.
This is undocumented property that turned out to work exceptionally well for ASF, by limiting size of GC generations and in result make GC purge them more frequently and more aggressively. Default (balanced) latency level is 1, but you can use 0, which will tune for memory usage.
When set we trim the committed space more aggressively for the ephemeral seg. This is used for running many instances of server processes where they want to keep as little memory committed as possible.
This offers little improvement, but may make GC even more aggressive when system will be low on memory, especially for ASF which makes use of threadpool tasks heavily.
You can enable selected properties by setting appropriate environment variables. For example, on Linux (shell):
# Don't forget to tune those if you're planning to make use of them
export DOTNET_GCHeapHardLimitPercent=0x4B # 75% as hex
export DOTNET_GCHighMemPercent=0x50 # 80% as hex
export DOTNET_GCConserveMemory=9
export DOTNET_GCLatencyLevel=0
export DOTNET_gcTrimCommitOnLowMemory=1
./ArchiSteamFarm # For OS-specific build
./ArchiSteamFarm.sh # For generic buildOr on Windows (powershell):
# Don't forget to tune those if you're planning to make use of them
$Env:DOTNET_GCHeapHardLimitPercent=0x4B # 75% as hex
$Env:DOTNET_GCHighMemPercent=0x50 # 80% as hex
$Env:DOTNET_GCConserveMemory=9
$Env:DOTNET_GCLatencyLevel=0
$Env:DOTNET_gcTrimCommitOnLowMemory=1
.\ArchiSteamFarm.exe # For OS-specific build
.\ArchiSteamFarm.cmd # For generic buildEspecially GCLatencyLevel will come very useful as we verified that the runtime indeed optimizes code for memory and therefore drops average memory usage significantly, even with server GC. It's one of the best tricks that you can apply if you want to significantly lower ASF memory usage while not degrading performance too much with OptimizationMode.
Below tricks involve serious performance degradation and should be used with caution.
- As a last resort, you can tune ASF for
MinMemoryUsagethroughOptimizationModeglobal config property. Read carefully its purpose, as this is serious performance degradation for nearly no memory benefits. This is typically the last thing you want to do, long after you go through runtime tuning to ensure that you're forced to do this. Unless absolutely critical for your setup, we discourage usingMinMemoryUsage, even in memory-constrained environments.
- Start from simple ASF setup tricks, use generic ASF variant and check if perhaps you're just using your ASF in a wrong way such as starting the process several times for all of your bots, or keeping all of them active if you need just one or two to autostart.
- If it's still not enough, enable all configuration properties listed above by setting appropriate
DOTNET_environment variables. EspeciallyGCLatencyLeveloffers significant runtime improvements for little cost on performance. - If even that didn't help, as a last resort enable
MinMemoryUsageOptimizationMode. This forces ASF to execute almost everything in synchronous matter, making it work much slower but also not relying on thread pool to balance things out when it comes to parallel execution.
It's physically impossible to decrease memory even further, your ASF is already heavily degraded in terms of performance and you depleted all your possibilities, both code-wise and runtime-wise. Consider adding some extra memory for ASF to use, even 128 MB would make a great difference.
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