Dead Space 2 Activation Limit Exceeded

[Sergei Chime]

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I recently tried to reinstall my copy of Dead Space 2, and the activation wizard is complaining that I've exceeded the activations for my serial key. Since these previous activations were on previous installations of windows on my home PCs, I'm unable to now deauthorize them.

Please if you can help me with a problem activating the game Dead Space 2. When you activate the CD KEY gives me the following error : "'The activation limit for this serial number has been exceeded'.

I paid for this game and want to play it. I hope to resolve this issue.

I have formatted the pc to many times.

I recently attempted to activate my copy of Dead Space 2 when I got the error that my activation limit has been exceeded. That has happened bacause I have had to reformat my hard drive for a various reasons. I would like to know if it would be possible to reset the activation limit so I can play the game again.

Hi,

I am getting a SPICE error because one of the users created a large dataset using SPICE, I had everyone delete all of the datasets and datasources but I still get the SPICE error. How can I get a SPICE exceeded error with no datasets since they were all removed? No matter what I do the limit used stays the same which exceed available space? Also, all of a sudden since the SPICE was exceeded I can no longer see any of the Athena tables? Is this expected? Basically we are evaluating this product and everything stopped working due to what appears to be a SPICE issue? How do I clear this?

I am sorry to hear that SPICE does not release the space you deleted. would you be able to file a case with AWS Support where we can dive into the details so that we can help you further. Here are the steps to open a support case.

Okay I will, we have no explanation why it stopped working and figured it was the SPICE issue? And we cannot clear the SPICE error so no way to verify that is the issue, we are basically dead in the water and cannot purchase this product right now. Other than that the buyers loved the product so hoping we can get around this. Anyway you can up the SPICE limit at no charge for our evalution so we can continue, but should this happen in production we do need a way to fix it?

When I run my code, Node.js throws a "RangeError: Maximum call stack size exceeded" exception caused by too many recursive calls. I tried to increase Node.js stack size by sudo node --stack-size=16000 app, but Node.js crashes without any error message. When I run this again without sudo, then Node.js prints 'Segmentation fault: 11'. Is there a possibility to solve this without removing my recursive calls?

function to give node.js the chance to clear the stack. If you don't do that and there are many loops without any real async function call or if you do not wait for the callback, your RangeError: Maximum call stack size exceeded will be inevitable.

Now your loop may become too slow, because we loose a little time (one browser roundtrip) per round. But you do not have to call setTimeout in every round. Normally it is o.k. to do it every 1000th time. But this may differ depending on your stack size:

I had a similar issue as this.I had an issue with using multiple Array.map()'s in a row (around 8 maps at once) and was getting a maximum_call_stack_exceeded error.I solved this by changing the map's into 'for' loops

Just for clarity and probably-not-needed-but-good-to-know-info, using .map() causes the array to be prepped (resolving getters , etc) and the callback to be cached, and also internally keeps an index of the array (so the callback is provided with the correct index/value). This stacks with each nested call, and caution is advised when not nested as well, as the next .map() could be called before the first array is garbage collected (if at all).

Regarding increasing the max stack size, on 32 bit and 64 bit machines V8's memory allocation defaults are, respectively, 700 MB and 1400 MB. In newer versions of V8, memory limits on 64 bit systems are no longer set by V8, theoretically indicating no limit. However, the OS (Operating System) on which Node is running can always limit the amount of memory V8 can take, so the true limit of any given process cannot be generally stated.

Though V8 makes available the --max_old_space_size option, which allows control over the amount of memory available to a process, accepting a value in MB. Should you need to increase memory allocation, simply pass this option the desired value when spawning a Node process.

It is often an excellent strategy to reduce the available memory allocation for a given Node instance, especially when running many instances. As with stack limits, consider whether massive memory needs are better delegated to a dedicated storage layer, such as an in-memory database or similar.

for me the program with the Max call stack wasn't because of my code. It ended up being a different issue which caused the congestion in the flow of the application. So because I was trying to add too many items to mongoDB without any configuration chances the call stack issue was popping and it took me a few days to figure out what was going on....that said:

I'm new at programming but I attempted to modularize the answer it. Also, didn't like the error being thrown so I wrapped it in a do while loop instead. If anything I did is incorrect, please feel free to correct me.

The above scenario will cause infamous RangeError: Maximum call stack size exceeded error because the function keeps calling itself so many times that it runs out of maximum call stack.

The Developer Console didn't set the DEVELOPER_LOG trace flag on your user. Having an active trace flag triggers debug logging. You have 316 MB of the maximum 250 MB of debug logs. Before you can edit trace flags, delete some debug logs.

We increased the size limit for debug logs from 2 MB per log to 5 MB. You can store up to 250 MB of debug logs at a time. System logs are now deleted automatically after 24 hours instead of after seven days. Monitoring logs are still saved for seven days.

Previously, you could generate up to 50 MB of debug logs. We kept them indefinitely, deleting the oldest log each time that you exceeded the limit. We removed the 50 MB limit and changed to a 7-day storage limit.

Currently (Winter '18) you have logs up to 5 MB in size with a total limit of 250 MB that can stay around for up to 7 days before being automatically purged. As many are finding, in a busy org it is easy to hit that 250 MB limit in a much shorter time period than 7 days.

I've created the idea Allow TraceFlags to indicate that Debug logs can be deleted automatically. The idea is to give the developer/admin control how how long they need the corresponding logs to stay around for. With a TTL (Time to Live) setting on each generated log they could be cleared out automatically while still giving the flexibility to capture a few large short term logs or smaller logs with a longer life span.

Azure Service Bus queues and topic subscriptions provide a secondary subqueue, called a dead-letter queue (DLQ). The dead-letter queue doesn't need to be explicitly created and can't be deleted or managed independent of the main entity.

The purpose of the dead-letter queue is to hold messages that can't be delivered to any receiver, or messages that couldn't be processed. Messages can then be removed from the DLQ and inspected. An application might let a user correct issues and resubmit the message.

From an API and protocol perspective, the DLQ is mostly similar to any other queue, except that messages can only be submitted via the dead-letter operation of the parent entity. In addition, time-to-live isn't observed, and you can't dead-letter a message from a DLQ. The dead-letter queue fully supports normal operations such as peek-lock delivery, receive-and-delete, and transactional operations.

Obtaining count of messages in the dead-letter queue at the topic level isn't applicable because messages don't sit at the topic level. Instead, when a sender sends a message to a topic, the message is forwarded to subscriptions for the topic within milliseconds and thus no longer resides at the topic level. So, you can see messages in the DLQ associated with the subscription for the topic. In the following example, Service Bus Explorer shows that there are 62 messages currently in the DLQ for the subscription "test1".

There are several activities in Service Bus that cause messages to get pushed to the DLQ from within the messaging engine itself. An application can also explicitly move messages to the DLQ. The following two properties (dead-letter reason and dead-letter description) are added to dead-lettered messages. Applications can define their own codes for the dead-letter reason property, but the system sets the following values.

When you enable dead-lettering on queues or subscriptions, all expiring messages are moved to the DLQ. The dead-letter reason code is set to: TTLExpiredException. Deferred messages won't be purged and moved to the dead-letter queue after they expire. This behavior is by design.

There's a limit on number of attempts to deliver messages for Service Bus queues and subscriptions. The default value is 10. Whenever a message is delivered under a peek-lock, but is either explicitly abandoned or the lock is expired, the delivery count on the message is incremented. When the delivery count exceeds the limit, the message is moved to the DLQ. The dead-letter reason for the message in DLQ is set to: MaxDeliveryCountExceeded. This behavior can't be disabled, but you can set the max delivery count to a large number.

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