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Further bumped the docs on installing engines.
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docs/installing_search_engines.rst

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@@ -117,8 +117,8 @@ Official Download Location: http://www.elasticsearch.org/download/
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Elasticsearch is Java but comes in a pre-packaged form that requires very
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little other than the JRE. It's also very performant, scales easily and has
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an advanced featureset. Haystack requires at least version 0.17.7 (0.20.2 is
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current as of writing). Installation is best done using a package manager::
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an advanced featureset. Haystack requires at least version 0.90.0+.
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Installation is best done using a package manager::
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# On Mac OS X...
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brew install elasticsearch
@@ -130,7 +130,7 @@ current as of writing). Installation is best done using a package manager::
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elasticsearch -f -D es.config=<path to YAML config>
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# Example:
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elasticsearch -f -D es.config=/usr/local/Cellar/elasticsearch/0.17.7/config/elasticsearch.yml
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elasticsearch -f -D es.config=/usr/local/Cellar/elasticsearch/0.90.0/config/elasticsearch.yml
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You may have to alter the configuration to run on ``localhost`` when developing
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locally. Modifications should be done in a YAML file, the stock one being
@@ -172,7 +172,7 @@ Official Download Location: http://bitbucket.org/mchaput/whoosh/
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Whoosh is pure Python, so it's a great option for getting started quickly and
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for development, though it does work for small scale live deployments. The
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current recommended version is 1.3.1+. You can install via PyPI_ using
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current recommended version is 1.3.1+. You can install via PyPI_ using
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``sudo easy_install whoosh`` or ``sudo pip install whoosh``.
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Note that, while capable otherwise, the Whoosh backend does not currently

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