I have a following crash report from my released app:
synchronizeMyWords
method fetches the entities from database, creates private queue context w
I marked @Mundi answer as correct, because he wrote the general approach you should follow. Now, I want to share here how I debugged it. Firstly, I learned that, it is available to turn on debug concurrency assertion in xcode. You need to pass following argument on launch:
-com.apple.CoreData.ConcurrencyDebug 1
Now, in your application output, you should see log message:
2016-12-12 01:58:31.665 your-app[4267:2180376] CoreData: annotation: Core Data multi-threading assertions enabled.
Once I turned it on, my app crashed in synchronizeMyWords
method (honestly, not only there. Wondering, why Apple does not include concurrency assertions by default in debug mode?). I checked what defaultExecutor
is in AWSCore library and saw this:
+ (instancetype)defaultExecutor {
static AWSExecutor *defaultExecutor = NULL;
static dispatch_once_t onceToken;
dispatch_once(&onceToken, ^{
defaultExecutor = [self executorWithBlock:^void(void(^block)()) {
// We prefer to run everything possible immediately, so that there is callstack information
// when debugging. However, we don't want the stack to get too deep, so if the remaining stack space
// is less than 10% of the total space, we dispatch to another GCD queue.
size_t totalStackSize = 0;
size_t remainingStackSize = remaining_stack_size(&totalStackSize);
if (remainingStackSize < (totalStackSize / 10)) {
dispatch_async(dispatch_get_global_queue(DISPATCH_QUEUE_PRIORITY_DEFAULT, 0), block);
} else {
@autoreleasepool {
block();
}
}
}];
});
return defaultExecutor;
}
According to their if
statement, my continuationBlock
was not guaranteed to be executed on DISPATCH_QUEUE_PRIORITY_DEFAULT
queue. So, I created one shared dispatch_queue_t
queue and call all operations on it combining with performBlockAndWait:
CoreData method. As a result, there are no crashes now and I submitted new release. I will update this post, if I do not get any crash report with context
zombie.
Core Data provides ample APIs to deal with background threads. These are also accessible via Magical Record.
It looks as if you creating too many threads unnecessarily. I think that the employment of AWSContinuationBlock
and AWSExecutor
is not a good idea. synchronizeMyWords
could be called from a background thread. The block might be run on a background thread. Inside the block you create a new background thread linked to the child context. It is not clear what loadLocalWords
returns, or how continueWithExecutor:block:
deals with threads.
There is also a problem with the saving of the data. The main context is not saved after the child context is saved; presumably this happens later, but perhaps in connection with some other operation, so that the fact that your code was working before is perhaps more of a "false positive".
My recommendation is to simplify the threading code. You should confine yourself to the Core Data block APIs.