deep-dive | A deep dive into the web-audio API | Frontend Framework library

The table does not show up in the source code because it is rendered by Angular. BeautifulSoup only sees the plain HTML source. You can

• take a look at this question, where selenium is recommended for such pages (because it executes the javascript, making the stuff you see in the devtools via inspect scrape-able) or
• inspect the requests made in Javascript with the "Network" tab in the devtools. There, you switch to "XHR", which shows requests by JS, reload the page and look through the results. As you can see in my screenshot the NSE request gets the data you're after. Copy the request URL and request it directly to get a json result with just your answer. This should work in this case but for some APIs you will have to have a closer look at the headers tab, since some cookies or security tokens might be required to get a valid answer.

As you already know, container_memory_working_set_bytes is:

the amount of working set memory and it includes recently accessed memory, dirty memory, and kernel memory. Therefore, Working set is (lesser than or equal to)

The container_memory_working_set_bytes is being used for OoM decisions because it excludes cached data (Linux Page Cache) that can be evicted in memory pressure scenarios.

So, if the container_memory_working_set_bytes is increased to the limit, it will lead to oomkill.

You can find the fact that when Linux kernel checking available memory, it calls vm_enough_memory() to find out how many pages are potentially available.

Then when the machine is low on memory, old page frames including cache will be reclaimed but kernel still may find that it was unable free enough pages to satisfy a request. Now it's time to call out_of_memory() to kill the process. To determine the candidate process to be killed it uses oom_score.

So when Working Set bytes reached to limits, it means that kernel cannot find availables pages even after reclaiming old pages including cache so kernel will trigger OOM-killer to kill the process.

You can find more details on the Linux kernel documents:

• https://www.kernel.org/doc/gorman/html/understand/understand016.html
• https://www.kernel.org/doc/gorman/html/understand/understand013.html

How would one do this in Golang?

An idiomatic way to handle graceful shutdowns in go is having a select statement blocking the main goroutine listening for any signal. From there you can trigger all the proper shutdowns when necessary.

For instance:

The official installation guide is actually mostly about how to add it to an existing Phoenix project (everything except the first paragraph basically):

If you are using earlier Phoenix versions or your app already exists, keep on reading.

You can read the files with:

The problem with super(Integer, self).value.fset(self, _value) (or the simpler equivalent, super().value.fset(self, _value)) occurs before you even get to the fset. The descriptor protocol is engaged on all lookups on an instance, cause it to invoke the getter simply by doing super(Integer, self).value (or super().value). That's why your inherited getter works in the first place; it invoked the property descriptor, and got the value produced by it.

In order to bypass the descriptor protocol (more precisely, move from instance to class level invocation, where propertys do nothing special in the class level scenario), you need to perform the lookup on the class itself, not an instance of it. super(Integer, type(self)) invokes the form of super that returns a super object bound at the class level, not the instance level, allowing you to retrieve the raw descriptor itself, rather than invoking the descriptor and getting the value it produces. Once you have the raw descriptor, you can access and invoke the fset function attached to it.

This is the same issue you have when super isn't involved. If you have an instance of Number, and want to directly access the fset function (rather than invoking it implicitly via assignment), you have to do:

From docs: https://docs.microsoft.com/en-us/azure/role-based-access-control/role-assignments-rest#add-a-role-assignment

To call this API, you must have access to the Microsoft.Authorization/roleAssignments/write operation. Of the built-in roles, only Owner and User Access Administrator are granted access to this operation.

So your service principal must have the role owner or user access administrator. Or you have to create a custom role with sufficient permissions.

Regarding the workflow, I agree. It is quiet counter intuitive.

old answer

There is this bug (?) where azure states that the resource has been created but not all services have access it.

You can have it wait for a minute with something like this:

$test.test1 is not $null, it's empty string (because you explicitely defined it's value to be [string]):

I solve it!

1. I added the converter to the factory Bean (kafkaListenerContainerFactory) by its setter.
   
2. I changed the convert to implement MessagingMessageConverter insted of RecordMessageConverter and I implemented the method extractAndConvertValue
   
3. (If you want to change to other type) remove the listenAsObject and replace it by the ConsumerRecordtype your convert to
   
   

For example:
If you want to change the custom value to String:
create new converter: