Fix documentation spelling errors
Change-Id: Ic5a06195cba7c27ff7664fcb8e8b514d7dc31cb7
This commit is contained in:
@@ -111,7 +111,7 @@ operates.
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.. note::
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This engine is under active development and is experimental but it is
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useable and does work but is missing some features (please check the
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usable and does work but is missing some features (please check the
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`blueprint page`_ for known issues and plans) that will make it more
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production ready.
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@@ -24,12 +24,12 @@ Features
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- High availability
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- Guarantees workflow forward progress by transfering partially completed work
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or work that has not been started to entities which can either resume the
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previously partially completed work or begin initial work to ensure that
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the workflow as a whole progresses (where progressing implies transitioning
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through the workflow :doc:`patterns <patterns>` and :doc:`atoms <atoms>`
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and completing their associated state transitions).
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- Guarantees workflow forward progress by transferring partially complete
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work or work that has not been started to entities which can either resume
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the previously partially completed work or begin initial work to ensure
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that the workflow as a whole progresses (where progressing implies
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transitioning through the workflow :doc:`patterns <patterns>` and
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:doc:`atoms <atoms>` and completing their associated state transitions).
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- Atomic transfer and single ownership
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@@ -46,7 +46,7 @@ Features
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- Jobs can be created with logbooks that contain a specification of the work
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to be done by a entity (such as an API server). The job then can be
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completed by a entity that is watching that jobboard (not neccasarily the
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completed by a entity that is watching that jobboard (not necessarily the
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API server itself). This creates a disconnection between work
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formation and work completion that is useful for scaling out horizontally.
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@@ -111,7 +111,7 @@ of a job) might look like:
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Consumption of jobs is similarly achieved by creating a jobboard and using
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the iteration functionality to find and claim jobs (and eventually consume
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them). The typical usage of a joboard for consumption (and work completion)
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them). The typical usage of a jobboard for consumption (and work completion)
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might look like:
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.. code-block:: python
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@@ -188,9 +188,9 @@ Additional *configuration* parameters:
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* ``timeout``: the timeout used when performing operations with zookeeper;
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only used if a client is not provided.
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* ``handler``: a class that provides ``kazoo.handlers``-like interface; it will
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be used internally by `kazoo`_ to perform asynchronous operations, useful when
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your program uses eventlet and you want to instruct kazoo to use an eventlet
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compatible handler (such as the `eventlet handler`_).
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be used internally by `kazoo`_ to perform asynchronous operations, useful
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when your program uses eventlet and you want to instruct kazoo to use an
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eventlet compatible handler (such as the `eventlet handler`_).
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Job Interface
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@@ -5,10 +5,10 @@ Persistence
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Overview
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========
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In order to be able to recieve inputs and create outputs from atoms (or other
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In order to be able to receive inputs and create outputs from atoms (or other
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engine processes) in a fault-tolerant way, there is a need to be able to place
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what atoms output in some kind of location where it can be re-used by other
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atoms (or used for other purposes). To accomodate this type of usage taskflow
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atoms (or used for other purposes). To accommodate this type of usage taskflow
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provides an abstraction (provided by pluggable `stevedore`_ backends) that is
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similar in concept to a running programs *memory*.
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@@ -39,7 +39,7 @@ How it is used
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==============
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On :doc:`engine <engines>` construction typically a backend (it can be optional)
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will be provided which satisifies the :py:class:`~taskflow.persistence.backends.base.Backend`
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will be provided which satisfies the :py:class:`~taskflow.persistence.backends.base.Backend`
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abstraction. Along with providing a backend object a :py:class:`~taskflow.persistence.logbook.FlowDetail`
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object will also be created and provided (this object will contain the details about
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the flow to be ran) to the engine constructor (or associated :py:meth:`load() <taskflow.engines.helpers.load>` helper functions).
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