pysolr

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 1.1.0+
• 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

Setup looks like:

curl -O http://apache.osuosl.org/lucene/solr/4.1.0/solr-4.1.0.tgz
tar xvzf solr-4.1.0.tgz
cp -r solr-4.1.0/example solr4
# Used by the content extraction and clustering handlers:
mv solr-4.1.0/dist solr4/
mv solr-4.1.0/contrib solr4/
rm -rf solr-4.1.0*
cd solr4
rm -rf example-DIH exampledocs
mv solr solrsinglecoreanduseless
mv multicore solr
cp -r solrsinglecoreanduseless/collection1/conf/* solr/core0/conf/
cp -r solrsinglecoreanduseless/collection1/conf/* solr/core1/conf/
# Fix paths for the content extraction handler:
perl -p -i -e 's|<lib dir="../../../contrib/|<lib dir="../../contrib/|'g solr/*/conf/solrconfig.xml
perl -p -i -e 's|<lib dir="../../../dist/|<lib dir="../../dist/|'g solr/*/conf/solrconfig.xml
# Add MoreLikeThis handler
perl -p -i -e 's|<!-- A Robust Example|<!-- More like this request handler -->\n  <requestHandler name="/mlt" class="solr.MoreLikeThisHandler" />\n\n\n  <!-- A Robust Example|'g solr/*/conf/solrconfig.xml
# Now run Solr.
java -jar start.jar

Running the tests:

python -m unittest2 tests
python3 -m unittest tests