pysolr is a lightweight Python wrapper for Apache Solr. It provides an
interface that queries the server and returns results based on the query.
lxmlsimplejsoncssselect for Tomcat error supportsudo python setup.py install or drop the pysolr.py file anywhere on your
PYTHONPATH.
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='*:*')
pysolr is licensed under the New BSD license.
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
# Now run Solr.
java -jar start.jar
Running the tests::
python -m unittest2 tests
python3 -m unittest tests
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