blocks|key|392777|text|我猜你正在使用新的基于WSL2的引擎，尝试通过打开docker+settings+->+general+->取消选中Use+WSL+2+based+Engine来将docker引擎切换回Hyper-V。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|392778|要解释的：|BOLD|392779|我注意到，自从WSL2引擎引入以来，它就开始在我身上发生，我自动切换到它，因为它是一个新引擎；从那时起，内存问题就开始出现了。|392780|重新启动/关闭docker并没有释放内存，我注意到任务管理器中的Vemm占用了所有内存，所以必须强制关闭它(导致docker无法工作)。|392781|我做的最后一件事是将docker引擎切换回Hyper-V解决了我的高内存使用问题。|392782|entityMap^0|P|F|18|7|1M|M|0|4|1|0|0|W|4|0|9|J|0^^$0|@$1|2|3|4|5|6|7|Q|8|@$9|R|A|S|B|C]|$9|T|A|U|B|C]|$9|V|A|W|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|X|8|@$9|Y|A|Z|B|H]]|D|@]|E|$]]|$1|I|3|J|5|6|7|10|8|@]|D|@]|E|$]]|$1|K|3|L|5|6|7|11|8|@$9|12|A|13|B|C]]|D|@]|E|$]]|$1|M|3|N|5|6|7|14|8|@$9|15|A|16|B|H]]|D|@]|E|$]]|$1|O|3|-4|5|6|7|17|8|@]|D|@]|E|$]]]|P|$]]

I guess you are using the new WSL 2 based engine, try switching docker engine back to Hyper-V by going opening <code>docker settings</code> -&gt; <code>general</code> -&gt; uncheck <code>Use WSL 2 based Engine</code> .
To explain:
I noticed it started happening to me since WSL 2 engine was introduced, i automatically switched to it since it's a new engine; Memory issues started arising since then.
Restarting/closing docker did not free the memory and i noticed in task Manager <code>Vemm</code> was the one eating all memory, so had to force close it (caused docker not to work).
Last thing i did was switching docker engine back to Hyper-V solved my high memory usage.

blocks|key|2302994|text|尝试在您的用户文件夹C:\Users\<my-user>的根目录下创建一个.wslconfig文件，以调整Docker将使用的内存和处理器数量。|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2302995|这是.wslconfig文件的内容。|2302996|[wsl2]
memory=2GB+++#+Limits+VM+memory+in+WSL+2+up+to+2GB
processors=2#+Makes+the+WSL+2+VM+use+two+virtual+processors|code-block|syntax|javascript|2302997|然后，重新启动计算机。您会发现Vemm进程将只占用您之前定义的内存量。|2302998|您可以在这里了解更多信息here|2302999|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.microsoft.com/en-us/windows/wsl/wsl-config#configure-global-options-with-wslconfig^0|A|I|11|A|0|2|A|0|0|F|4|0|C|4|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@$9|Z|A|10|B|C]|$9|11|A|12|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|13|8|@$9|14|A|15|B|C]]|D|@]|E|$]]|$1|H|3|I|5|J|7|16|8|@]|D|@]|E|$K|L]]|$1|M|3|N|5|6|7|17|8|@$9|18|A|19|B|C]]|D|@]|E|$]]|$1|O|3|P|5|6|7|1A|8|@]|D|@$9|1B|A|1C|1|1D]]|E|$]]|$1|Q|3|-4|5|6|7|1E|8|@]|D|@]|E|$]]]|R|$S|$5|T|U|V|E|$W|X]]]]

Try to create a <code>.wslconfig</code> file at the root of your User folder <code>C:\Users\&lt;my-user&gt;</code> to adjust how much memory &amp; processors Docker will use.
This is the content of the <code>.wslconfig</code> file.
<pre><code>[wsl2]
memory=2GB # Limits VM memory in WSL 2 up to 2GB
processors=2# Makes the WSL 2 VM use two virtual processors
</code></pre>
Then, restart the computer. You will find the <code>Vemm</code> process will only take the amount of RAM you defined previously.
You can learn more here <a href="https://docs.microsoft.com/en-us/windows/wsl/wsl-config#configure-global-options-with-wslconfig" rel="noreferrer">here</a>

blocks|key|3375905|text|如果你使用的是WSL2，把它放到你内存中间的.wslconfig中。我不知道为什么，但我有同样的问题与8+8GB的内存。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3375906|这是我的.wslconfig|offset|length|style|BOLD|3375907|[wsl2]
memory=4GB+#+I+have+8GB+RAM
processors=2+|code-block|syntax|javascript|3375908|结果很好，因为消耗很好！在这个时刻，我运行了一个带有8个镜像的Docker：|3375909|​|3375910|📷|atomic|3375911|3375912|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/a56e67bbd7b9cea6213dec5ff871315c.png|imageAlt^0|0|4|A|0|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|13|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|14|8|@$D|15|E|16|F|G]]|9|@]|A|$]]|$1|H|3|I|5|J|7|17|8|@]|9|@]|A|$K|L]]|$1|M|3|N|5|6|7|18|8|@]|9|@]|A|$]]|$1|O|3|P|5|6|7|19|8|@]|9|@]|A|$]]|$1|Q|3|R|5|S|7|1A|8|@]|9|@$D|1B|E|1C|1|1D]]|A|$]]|$1|T|3|P|5|6|7|1E|8|@]|9|@]|A|$]]|$1|U|3|-4|5|6|7|1F|8|@]|9|@]|A|$]]]|V|$W|$5|X|Y|Z|A|$10|11|12|-4]]]]

If you are using WSL2 put into the .wslconfig the middle of your ram. I don't know why but I had the same problem with 8GB RAM.
This is my .wslconfig
<pre><code>[wsl2]
memory=4GB # I have 8GB RAM
processors=2 
</code></pre>
And the result was good because the consumption is good! In this moment I have running a Docker with 8 images:
<a href="https://i.stack.imgur.com/2OGbV.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/2OGbV.png" alt="The result was the following" /></a>

blocks|key|392749|text|据我所知，docker的统计数据不会显示RAM预留。尝试使用-m标志设置内存限制。下面是一些如何使用docker控制资源的信息：https://docs.docker.com/config/containers/resource_constraints/?spm=a2c41.12663380.0.0.59ed566dAqUZPu|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|392750|entityMap|0|LINK|mutability|MUTABLE|url|https://docs.docker.com/config/containers/resource_constraints/?spm=a2c41.12663380.0.0.59ed566dAqUZPu^0|1S|2T|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

As I know docker stats does not show RAM reservations. Try to put RAM limits using -m flag. There are some information how to control resources using docker:
<a href="https://docs.docker.com/config/containers/resource_constraints/?spm=a2c41.12663380.0.0.59ed566dAqUZPu" rel="nofollow noreferrer">https://docs.docker.com/config/containers/resource_constraints/?spm=a2c41.12663380.0.0.59ed566dAqUZPu</a>

blocks|key|3375850|text|尽管此问题已标记为已解决|type|unstyled|depth|inlineStyleRanges|entityRanges|data|3375851|还有另一个原因，在最近更新的版本中。|3375852|您可能为docker+hyperkit启用了太多资源。|3375853|转到设置-资源-高级检查你是否在那里节省了太多的资源。|3375854|📷|atomic|offset|length|3375855|​|3375856|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/065fc5ab4ac0e13cc340b12f11e628f1.png|imageAlt^0|0|0|0|0|0|1|0|0|0^^$0|@$1|2|3|4|5|6|7|X|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Y|8|@]|9|@]|A|$]]|$1|D|3|E|5|6|7|Z|8|@]|9|@]|A|$]]|$1|F|3|G|5|6|7|10|8|@]|9|@]|A|$]]|$1|H|3|I|5|J|7|11|8|@]|9|@$K|12|L|13|1|14]]|A|$]]|$1|M|3|N|5|6|7|15|8|@]|9|@]|A|$]]|$1|O|3|-4|5|6|7|16|8|@]|9|@]|A|$]]]|P|$Q|$5|R|S|T|A|$U|V|W|-4]]]]

Although this problem is already marked as SOLVED
There is still another reason for this, in recently updated versions.
You might enable too many resources for docker hyperkit.
Go to settings - resources - advanced
check if you spared too much resource there.
<a href="https://i.stack.imgur.com/RxNCL.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/RxNCL.png" alt="enter image description here" /></a>

blocks|key|392724|text|我猜在Windows上有一些类似于MacOS的东西。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|392725|打开您的docker应用程序并转到dashboard|392726|Click+any+container|unordered-list-item|392727|
|392728|Click+Stats|offset|length|style|CODE|392729|
+|392730|ordered-list-item|392731|392732|您将获得有关CPU、RAM使用情况、磁盘读写内存和网络使用情况的信息。|392733|​|392734|📷|atomic|392735|392736|当我遇到内存问题时，我会设置别名脚本，我可以将这些脚本链接在一起来停止/终止/重新启动，并在容器上执行任何我需要的设置。|392737|没有什么能阻止docker的行为方式，除非你想要开始贡献和发起拉取请求。这并不是一个罕见的问题。Docker是一个免费的服务，我建议解决它的缺点。|392738|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/70ae663e32c8bb03d748007a1f874f25.png|imageAlt^0|0|0|0|0|6|5|0|0|0|0|0|0|0|1|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|1E|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|1F|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|1G|8|@]|9|@]|A|$]]|$1|G|3|H|5|6|7|1H|8|@]|9|@]|A|$]]|$1|I|3|J|5|F|7|1I|8|@$K|1J|L|1K|M|N]]|9|@]|A|$]]|$1|O|3|P|5|6|7|1L|8|@]|9|@]|A|$]]|$1|Q|3|-4|5|R|7|1M|8|@]|9|@]|A|$]]|$1|S|3|-4|5|6|7|1N|8|@]|9|@]|A|$]]|$1|T|3|U|5|6|7|1O|8|@]|9|@]|A|$]]|$1|V|3|W|5|6|7|1P|8|@]|9|@]|A|$]]|$1|X|3|Y|5|Z|7|1Q|8|@]|9|@$K|1R|L|1S|1|1T]]|A|$]]|$1|10|3|W|5|6|7|1U|8|@]|9|@]|A|$]]|$1|11|3|12|5|6|7|1V|8|@]|9|@]|A|$]]|$1|13|3|14|5|6|7|1W|8|@]|9|@]|A|$]]|$1|15|3|-4|5|6|7|1X|8|@]|9|@]|A|$]]]|16|$17|$5|18|19|1A|A|$1B|1C|1D|-4]]]]

I am guessing on Windows there is something similar to what exists on MacOS.
<ol>
<li>Open your docker app and go to the dashboard</li>
<li>Click any container</li>
<li>Click <code>Stats</code></li>
</ol>
You will get information regarding your CPU, RAM Usage, Disk Read &amp; Write Memory &amp; Network usage.
<a href="https://i.stack.imgur.com/3x95e.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/3x95e.png" alt="enter image description here" /></a>
When I had memory issues, which I used to frequently, I would setup alias scripts that I could chain together to stop/kill/restart and do what ever setup I needed on the containers.
There is no preventing docker behaving the way it behaves unless you want to start contributing to and making pull requests. This isn't an uncommon issue. Docker is a free service, I recommend working around it's short comings.

Using Docker Desktop (19.03.13) with 6 containers in Windows 10. Having 16GB RAM.
In <code>docker stats</code> each container consumes 20-500 mb, all together cunsume ~1gb.
But in the Task Manager docker eats ~10gb and crashes from the lack of system memory.
How to check, what consumes so much memory in docker?
And how to prevent this?

Docker desktop eats all memory and crashes

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

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在Windows 10中使用Docker Desktop (19.03.13)和6个容器。具有16 in。在docker stats中，每个容器消耗20-500MB，总共消耗约1 1gb。但是在任务管理器中，docker会占用大约10 of的内存，并且会因为系统内存不足而崩溃。如何检查，在docker中什么东西会消耗这么多内存？如何防止这种情况发生？

问Docker桌面耗尽所有内存并崩溃
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