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Bumped reqs in docs for content extraction bits.

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1 parent 1fa362e commit b8a23d4827ee444e441d74eb11435493ef66030f @toastdriven toastdriven committed
Showing with 8 additions and 8 deletions.
  1. +1 −1  README.rst
  2. +7 −7 docs/installing_search_engines.rst
2  README.rst
@@ -3,7 +3,7 @@ Haystack
:author: Daniel Lindsley
-:date: 2011/05/02
+:date: 2011/09/18
Haystack provides modular search for Django. It features a unified, familiar
API that allows you to plug in different search backends (such as Solr_,
14 docs/installing_search_engines.rst
@@ -20,12 +20,12 @@ Haystack requires Solr 1.3+. Installation is relatively simple::
java -jar start.jar
You'll need to revise your schema. You can generate this from your application
-(once Haystack is installed and setup) by running
+(once Haystack is installed and setup) by running
``./ build_solr_schema``. Take the output from that command and place
it in ``apache-solr-1.4.1/example/solr/conf/schema.xml``. Then restart Solr.
You'll also need a Solr binding, ``pysolr``. The official ``pysolr`` package,
-distributed via PyPI, is the best version to use (2.0.13+). Place ````
+distributed via PyPI, is the best version to use (2.1.0+). Place ````
somewhere on your ``PYTHONPATH``.
.. note::
@@ -60,7 +60,7 @@ Something like the following is suggested::
text = indexes.CharField(document=True, use_template=True)
# ... normal fields then...
suggestions = indexes.CharField()
def prepare(self, obj):
prepared_data = super(NoteIndex, self).prepare(object)
prepared_data['suggestions'] = prepared_data['text']
@@ -128,15 +128,15 @@ package for it). Installation looks like::
curl -O
curl -O
tar xvzf xapian-core-1.0.11.tar.gz
tar xvzf xapian-bindings-1.0.11.tar.gz
cd xapian-core-1.0.11
sudo make install
cd ..
cd xapian-bindings-1.0.11
@@ -149,4 +149,4 @@ proper due to licensing. To use it, you need both Haystack itself as well as Installation
instructions can be found on that page as well. The backend, written
by David Sauve (notanumber), fully implements the `SearchQuerySet` API and is
-an excellent alternative to Solr.
+an excellent alternative to Solr.

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