Lightweight python wrapper for Apache Solr.
Project description
pysolr is a lightweight Python wrapper for Apache Solr. It provides an interface that queries the server and returns results based on the query.
Status
Features
Basic operations such as selecting, updating & deleting.
Index optimization.
“More Like This” support (if set up in Solr).
Spelling correction (if set up in Solr).
Timeout support.
Requirements
Python 2.6 - 3.3
Requests 2.0+
Optional - lxml
Optional - simplejson
Optional - cssselect for Tomcat error support
Installation
sudo python setup.py install or drop the pysolr.py file anywhere on your PYTHONPATH.
Usage
Basic usage looks like:
# If on Python 2.X
from __future__ import print_function
import pysolr
# Setup a Solr instance. The timeout is optional.
solr = pysolr.Solr('http://localhost:8983/solr/', timeout=10)
# How you'd index data.
solr.add([
{
"id": "doc_1",
"title": "A test document",
},
{
"id": "doc_2",
"title": "The Banana: Tasty or Dangerous?",
},
])
# You can optimize the index when it gets fragmented, for better speed.
solr.optimize()
# Later, searching is easy. In the simple case, just a plain Lucene-style
# query is fine.
results = solr.search('bananas')
# The ``Results`` object stores total results found, by default the top
# ten most relevant results and any additional data like
# facets/highlighting/spelling/etc.
print("Saw {0} result(s).".format(len(results)))
# Just loop over it to access the results.
for result in results:
print("The title is '{0}'.".format(result['title'])
# For a more advanced query, say involving highlighting, you can pass
# additional options to Solr.
results = solr.search('bananas', **{
'hl': 'true',
'hl.fragsize': 10,
})
# You can also perform More Like This searches, if your Solr is configured
# correctly.
similar = solr.more_like_this(q='id:doc_2', mltfl='text')
# Finally, you can delete either individual documents...
solr.delete(id='doc_1')
# ...or all documents.
solr.delete(q='*:*')
LICENSE
pysolr is licensed under the New BSD license.
Running Tests
Downloading, configuring and running Solr looks like this:
./start-test-solr.sh
Running the tests:
python -m unittest2 tests python3 -m unittest tests
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