disruptor | High Performance Inter-Thread Messaging Library | Architecture library

In order to make it works, please make the next things:

1. Add position sticky (and other styles) to this element:

2A. Remove the code that toggle between .affix and .affix-top

OR:

2B 1. If you can't do step 2A, you can add this height instead (in order to make affix and affix-top to be with the same height):

2B 2. Remove position: fixed from affix and position static from affix-top (they don't need positions cause we set position to their parent)

In addition, I don't know if it's third party code or not but please try to not use !important property. It's hard to set style for those elements.

Your first problem is that the target of a Process call cannot be within the if __name__ == '__main__': block. But:

As I mentioned in an earlier post of yours, the only way I see that you can share an instance of CircularBuffer across multiple processess is to implement a managed class, which surprisingly is not all that difficult to do. But when you create a managed class and create an instance of that class, what you have is actually a proxy reference to the object. This has two implications:

1. Each method call is more like a remote procedure call to a special server process created by the manager you will start up and therefore has more overhead than a local method call.
2. If you print the reference, the class's __str__ method will not be called; you will be printing a representation of the proxy pointer. You should probably rename method __str__ to something like dump and call that explicitly whenever you want a representation of the instance.

You should also explicitly wait for the completion of the processes you are creating so that the manager service does not shutdown prematurely, which means that each process should be assigned to a unique variable and have a unique name.

Ok I have a solution using dictionaries which will group everything properly:

I'm not really sure what you think you are testing.

When additivity is enabled the log event will be copied and placed into the Disruptor's Ring Buffer where it will be routed to the console appender on a different thread. After placing the copied event in the buffer the event will be passed to the root logger and routed to the Console Appender in the same thread. Since both the async Logger and sync Logger are doing the same thing they are going to take approximately the same time. So I am not really sure why you believe anything will be left around by the time the System.out call is made.

When you only use the async logger the main thread isn't doing anything but placing events in the queue, so it will respond much more quickly and it would be quite likely your System.out message would appear before all log events have been written.

I suspect there is one very important piece of information you are overlooking. When an event is routed to a Logger the level specified on the LoggerConfig the Logger is associated with is checked. When additivity is true the event is not routed to a parent Logger (there isn't one). It is routed to the LoggerConfig's parent LoggerConfig. A LoggerConfig calls isFiltered(event) which ONLY checks Filters that have been configured on the LoggerConfig. So even though you have level="info" on your Root logger, debug events sent to it via the AsyncLogger will still be logged. You would have to add a ThresholdFilter to the RootLogger to prevent that.

ES _id field doesn't support blank char like "".

You have 2 options:

• Always provide an id

• You just need to remove the id field that you have and elastic will assign an auto-generated one in "_id" field. Something like

You are modifying a Metadata instance while it is being serialized. You can't do that, see Storm troubleshooting page.

As explained in the release notes of 1.16, you can lock the metadata. This won't fix the issue but will tell you where in your code you are writing into the metadata.

You could try redirect directives in following order:

Finally solved. According to documentation

GELF TCP does not support compression due to the use of the null byte (\0) as frame delimiter.

So after disabling compress on the log4j2 configuration we saw our log on the gray log server. The below code snippet is a working example

stack smashing detected usually indicates a NullReferenceException in C# code.

Set COMPlus_EnableAlternateStackCheck environment variable to 1 before running your app to see full stack trace (this works for .NET Core 3.0 and later).

https://ignite.apache.org/docs/latest/net-specific/net-troubleshooting#stack-smashing-detected-dotnet-terminated