remove generic thread pool abort
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@@ -2,8 +2,6 @@
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The **thread pool** is a working server, made of a set of worker threads that can be mapped on CPU cores. Each thread pool has an **input queue** ("**FIFO**"), from which its workers pick **jobs** (FIFO element) to execute. When a job is done, the worker sends a message to an output queue, if it has been defined.
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A selective abort allows to cancel parallel jobs. This can be useful, e.g., if a client pushed jobs, but from a response of one job, the other linked jobs become useless.
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All the thread pool functions are thread safe. The functions executed by worker threads are provided by the thread pool client, so the client has to handle the concurrency/parallel execution of his functions.
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## license
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@@ -56,7 +54,6 @@ Queues can be used to enqueue messages/jobs, of type `notifiedFIFO_t`.
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* `pushNotifiedFIFO()`: Add a job to a queue
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* `pullNotifiedFIFO()`: Pull a job from a queue. This call is blocking until a job arrived.
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* `pollNotifiedFIFO()`: Pull a job from a queue. This call is not blocking, so it returns always very shortly
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* `abortNotifiedFIFOJob()`: Allows to delete all waiting jobs that match a key (see `key` in jobs definition)
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* `abortNotifiedFIFO()`: Aborts a FIFO, such that it will always return `NULL`
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Note that in 99.9% of cases, `pull()` is better than `poll()`.
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@@ -104,12 +101,6 @@ Like `pullNotifiedFIFO()`, but non-blocking: they check if the queue `nf` contai
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Note that unlike for `pullNotifiedFIFO()`, returning `NULL` does not inform whether the queue has been aborted; the caller should manually check the `abortFIFO` flag of `nf` in this case.
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### `int abortNotifiedFIFOJob(notifiedFIFO_t *nf, uint64_t key)`
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Aborts all jobs in FIFO queue `nf` with key `key`. Jobs already under execution will be silently dropped and not put in the FIFO return queue, if any.
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Returns the number of aborted jobs.
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### `void abortNotifiedFIFO(notifiedFIFO_t *nf)`
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Aborts the entire FIFO queue `nf`: all jobs will be dropped, and the FIFO is marked as aborted, such that a call to `pullNotifiedFIFO()` returns `NULL`.
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@@ -135,10 +126,6 @@ If they need a return value (e.g., result of a computation), they have to create
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## Abort
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A abort service `abortTpoolJob()` allows to abort all jobs that match a key (see a job's `key`). When the abort returns, it garanties that no job (matching the key) response will be posted on response queues.
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Nevertheless, jobs already performed before the return of `abortTpoolJob()` are pushed in the response Fifo queue.
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`abortTpool()` kills all jobs in the Tpool, and terminates the pool.
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## API details
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@@ -171,7 +158,7 @@ Adds a job for processing in the thread pool.
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The job data you can set are, inside `msg`:
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* `key`: an arbitrary key to find a job in a response queue, and which can be used to abort jobs using `abortTpoolJob()`.
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* `key`: an arbitrary key to find a job in a response queue.
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* `reponseFifo`: if non-`NULL`, the message will be sent back on this queue when the job is done. If `NULL`, the thread pool automatically frees the job when it is done.
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* `processingFunc`: the function to execute for this job.
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@@ -187,14 +174,6 @@ Multiple return queues might be useful. Consider the following example in the eN
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The same as `pullTpool()` in a non-blocking fashion (an alternative name would have been `pollTpool()`).
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### `int abortTpoolJob(tpool_t *t, uint64_t key)`
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Is a facility to cancel work you pushed to a thread pool: every job with a given `key` will be deleted, and results of jobs with such `key` under execution will be dropped.
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It returns the number of aborted jobs, including the ones that are currently being executed.
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I used it once: when eNB performs turbo decode, I push all segments in the thread pool. But when I get back the decoding results, if one segment can't be decoded, I don't need the results of the other segments of the same UE.
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### `int abortTpool(tpool_t *t)`
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Aborts the complete Tpool: cancel every work in the input queue, marks to drop existing jobs in processing, and terminates all worker threads. It is afterwards still possible to call functions such as `pushTpool()`, but each calling thread will execute the job itself.
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