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122 lines
3.5 KiB
Markdown
122 lines
3.5 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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- `rqworker` now supports passing in configuration files instead of the
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many command line options: `rqworker -c settings` will source
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`settings.py`.
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- `rqworker` now supports one-flag setup to enable Sentry as its exception
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handler: `rqworker --sentry-dsn="http://public:secret@example.com/1"`
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Alternatively, you can use a settings file and configure `SENTRY_DSN
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= 'http://public:secret@example.com/1'` instead.
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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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