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Fix typos in persistence query docs

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This commit is contained in:
Fehmi Can Saglam 2016-03-19 15:52:29 +02:00
parent f9c92a5f9a
commit 39cee97750
2 changed files with 8 additions and 9 deletions
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9
akka-docs/rst/java/persistence-query.rst
View file

@ -11,8 +11,8 @@ The most typical use case of persistence query is implementing the so-called que
in the popular CQRS architecture pattern - in which the writing side of the application (e.g. implemented using akka
persistence) is completely separated from the "query side". Akka Persistence Query itself is *not* directly the query
side of an application, however it can help to migrate data from the write side to the query side database. In very
simple scenarios Persistence Query may be powerful enough to fulful the query needs of your app, however we highly
recommend (in the spirit of CQRS) of splitting up the write/read sides into separate datastores as the need arrises.
simple scenarios Persistence Query may be powerful enough to fulfill the query needs of your app, however we highly
recommend (in the spirit of CQRS) of splitting up the write/read sides into separate datastores as the need arises.
.. warning::
@ -41,7 +41,7 @@ features, e.g. a SQL journal can use complex SQL queries or if a journal is able
this should also be possible to expose the same API - a typed stream of events.
**Each read journal must explicitly document which types of queries it supports.**
Refer to the your journal's plugins documentation for details on which queries and semantics it supports.
Refer to your journal's plugins documentation for details on which queries and semantics it supports.
While Akka Persistence Query does not provide actual implementations of ReadJournals, it defines a number of pre-defined
query types for the most common query scenarios, that most journals are likely to implement (however they are not required to).
@ -183,7 +183,7 @@ projected into the other read-optimised datastore.
Materialize view to Reactive Streams compatible datastore
---------------------------------------------------------
If the read datastore exposes an `Reactive Streams`_ interface then implementing a simple projection
If the read datastore exposes a `Reactive Streams`_ interface then implementing a simple projection
is as simple as, using the read-journal and feeding it into the databases driver interface, for example like so:
.. includecode:: code/docs/persistence/PersistenceQueryDocTest.java#projection-into-different-store-rs
@ -265,4 +265,3 @@ Plugin TCK
----------
TODO, not available yet.

8
akka-docs/rst/scala/persistence-query.rst
View file

@ -11,8 +11,8 @@ The most typical use case of persistence query is implementing the so-called que
in the popular CQRS architecture pattern - in which the writing side of the application (e.g. implemented using akka
persistence) is completely separated from the "query side". Akka Persistence Query itself is *not* directly the query
side of an application, however it can help to migrate data from the write side to the query side database. In very
simple scenarios Persistence Query may be powerful enough to fulful the query needs of your app, however we highly
recommend (in the spirit of CQRS) of splitting up the write/read sides into separate datastores as the need arrises.
simple scenarios Persistence Query may be powerful enough to fulfill the query needs of your app, however we highly
recommend (in the spirit of CQRS) of splitting up the write/read sides into separate datastores as the need arises.
.. warning::
@ -37,7 +37,7 @@ features, e.g. a SQL journal can use complex SQL queries or if a journal is able
this should also be possible to expose the same API - a typed stream of events.
**Each read journal must explicitly document which types of queries it supports.**
Refer to the your journal's plugins documentation for details on which queries and semantics it supports.
Refer to your journal's plugins documentation for details on which queries and semantics it supports.
While Akka Persistence Query does not provide actual implementations of ReadJournals, it defines a number of pre-defined
query types for the most common query scenarios, that most journals are likely to implement (however they are not required to).
@ -179,7 +179,7 @@ projected into the other read-optimised datastore.
Materialize view to Reactive Streams compatible datastore
---------------------------------------------------------
If the read datastore exposes an `Reactive Streams`_ interface then implementing a simple projection
If the read datastore exposes a `Reactive Streams`_ interface then implementing a simple projection
is as simple as, using the read-journal and feeding it into the databases driver interface, for example like so:
.. includecode:: code/docs/persistence/query/PersistenceQueryDocSpec.scala#projection-into-different-store-rs