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			113 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			Markdown
		
	
			
		
		
	
	
			113 lines
		
	
	
		
			3.1 KiB
		
	
	
	
		
			Markdown
		
	
### 0.3.1
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(not yet released)
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- `.enqueue()` now takes a `result_ttl` keyword argument that can be used to
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  change the expiration time of results.
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- Queue constructor now takes an optional `async=False` argument to bypass the
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  worker (for testing purposes).
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- Jobs now carry status information.  To get job status information, like
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  whether a job is queued, finished, or failed, use the property `status`, or
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  one of the new boolean accessor properties `is_queued`, `is_finished` or
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  `is_failed`.
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- Jobs return values are always stored explicitly, even if they have to
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  explicit return value or return `None` (with given TTL of course).  This
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  makes it possible to distinguish between a job that explicitly returned
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  `None` and a job that isn't finished yet (see `status` property).
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- Remove `logbook` dependency (in favor of `logging`)
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- Custom exception handlers can now be configured in addition to, or to fully
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  replace, moving failed jobs to the failed queue.  Relevant documentation
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  [here](http://python-rq.org/docs/exceptions/) and
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  [here](http://python-rq.org/patterns/sentry/).
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### 0.3.0
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(August 5th, 2012)
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- Reliability improvements
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    - Warm shutdown now exits immediately when Ctrl+C is pressed and worker is idle
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    - Worker does not leak worker registrations anymore when stopped gracefully
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- `.enqueue()` does not consume the `timeout` kwarg anymore.  Instead, to pass
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  RQ a timeout value while enqueueing a function, use the explicit invocation
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  instead:
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      ```python
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      q.enqueue(do_something, args=(1, 2), kwargs={'a': 1}, timeout=30)
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      ```
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- Add a `@job` decorator, which can be used to do Celery-style delayed
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  invocations:
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      ```python
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      from redis import Redis
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      from rq.decorators import job
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      # Connect to Redis
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      redis = Redis()
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      @job('high', timeout=10, connection=redis)
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      def some_work(x, y):
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          return x + y
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      ```
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  Then, in another module, you can call `some_work`:
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      ```python
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      from foo.bar import some_work
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      some_work.delay(2, 3)
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      ```
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### 0.2.2
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(August 1st, 2012)
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- Fix bug where return values that couldn't be pickled crashed the worker
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### 0.2.1
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(July 20th, 2012)
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- Fix important bug where result data wasn't restored from Redis correctly
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  (affected non-string results only).
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### 0.2.0
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(July 18th, 2012)
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- `q.enqueue()` accepts instance methods now, too.  Objects will be pickle'd
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  along with the instance method, so beware.
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- `q.enqueue()` accepts string specification of functions now, too.  Example:
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  `q.enqueue("my.math.lib.fibonacci", 5)`.  Useful if the worker and the
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  submitter of work don't share code bases.
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- Job can be assigned custom attrs and they will be pickle'd along with the
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  rest of the job's attrs.  Can be used when writing RQ extensions.
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- Workers can now accept explicit connections, like Queues.
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- Various bug fixes.
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### 0.1.2
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(May 15, 2012)
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- Fix broken PyPI deployment.
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### 0.1.1
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(May 14, 2012)
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- Thread-safety by using context locals
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- Register scripts as console_scripts, for better portability
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- Various bugfixes.
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### 0.1.0:
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(March 28, 2012)
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- Initially released version.
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