pysolr
is a lightweight Python client for Apache Solr. It provides an
interface that queries the server and returns results based on the query.
- 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.
- SolrCloud awareness
- Python 2.7 - 3.7
- Requests 2.9.1+
- Optional -
simplejson
- Optional -
kazoo
for SolrCloud mode
pysolr is on PyPI:
$ pip install pysolr
Or if you want to install directly from the repository:
$ python setup.py install
Basic usage looks like:
# If on Python 2.X
from __future__ import print_function
import pysolr
# Create a client instance. The timeout and authentication options are not required.
solr = pysolr.Solr('http://localhost:8983/solr/', always_commit=True, [timeout=10], [auth=<type of authentication>])
# Note that auto_commit defaults to False for performance. You can set
# `auto_commit=True` to have commands always update the index immediately, make
# an update call with `commit=True`, or use Solr's `autoCommit` / `commitWithin`
# to have your data be committed following a particular policy.
# Do a health check.
solr.ping()
# How you'd index data.
solr.add([
{
"id": "doc_1",
"title": "A test document",
},
{
"id": "doc_2",
"title": "The Banana: Tasty or Dangerous?",
"_doc": [
{ "id": "child_doc_1", "title": "peel" },
{ "id": "child_doc_2", "title": "seed" },
]
},
])
# You can index a parent/child document relationship by
# associating a list of child documents with the special key '_doc'. This
# is helpful for queries that join together conditions on children and parent
# documents.
# 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')
# also in batches...
solr.delete(id=['doc_1', 'doc_2'])
# ...or all documents.
solr.delete(q='*:*')
# For SolrCloud mode, initialize your Solr like this:
zookeeper = pysolr.ZooKeeper("zkhost1:2181,zkhost2:2181,zkhost3:2181")
solr = pysolr.SolrCloud(zookeeper, "collection1", auth=<type of authentication>)
Simply point the URL to the index core:
# Setup a Solr instance. The timeout is optional.
solr = pysolr.Solr('http://localhost:8983/solr/core_0/', timeout=10)
# Setup a Solr instance. The trailing slash is optional.
solr = pysolr.Solr('http://localhost:8983/solr/core_0/', search_handler='/autocomplete', use_qt_param=False)
If use_qt_param
is True
it is essential that the name of the handler is
exactly what is configured in solrconfig.xml
, including the leading slash
if any. If use_qt_param
is False
(default), the leading and trailing
slashes can be omitted.
If search_handler
is not specified, pysolr will default to /select
.
The handlers for MoreLikeThis, Update, Terms etc. all default to the values set
in the solrconfig.xml
SOLR ships with: mlt
, update
, terms
etc.
The specific methods of pysolr's Solr
class (like more_like_this
,
suggest_terms
etc.) allow for a kwarg handler
to override that value.
This includes the search
method. Setting a handler in search
explicitly
overrides the search_handler
setting (if any).
# Setup a Solr instance in a kerborized enviornment
from requests_kerberos import HTTPKerberosAuth, OPTIONAL
kerberos_auth = HTTPKerberosAuth(mutual_authentication=OPTIONAL, sanitize_mutual_error_response=False)
solr = pysolr.Solr('http://localhost:8983/solr/', auth=kerberos_auth)
# Setup a CloudSolr instance in a kerborized environment
from requests_kerberos import HTTPKerberosAuth, OPTIONAL
kerberos_auth = HTTPKerberosAuth(mutual_authentication=OPTIONAL, sanitize_mutual_error_response=False)
zookeeper = pysolr.ZooKeeper("zkhost1:2181/solr, zkhost2:2181,...,zkhostN:2181")
solr = pysolr.SolrCloud(zookeeper, "collection", auth=kerberos_auth)
# Setup a Solr instance in an https environment
solr = pysolr.Solr('http://localhost:8983/solr/', verify=path/to/cert.pem)
# Setup a CloudSolr instance in a kerborized environment
zookeeper = pysolr.ZooKeeper("zkhost1:2181/solr, zkhost2:2181,...,zkhostN:2181")
solr = pysolr.SolrCloud(zookeeper, "collection", verify=path/to/cert.perm)
# Setup a Solr instance. The trailing slash is optional.
# All requests to Solr will be immediately committed because `always_commit=True`:
solr = pysolr.Solr('http://localhost:8983/solr/core_0/', search_handler='/autocomplete', always_commit=True)
always_commit
signals to the Solr object to either commit or not commit by
default for any solr request. Be sure to change this to True
if you are
upgrading from a version where the default policy was always commit by default.
Functions like add
and delete
also still provide a way to override the
default by passing the commit
kwarg.
It is generally good practice to limit the amount of commits to Solr as
excessive commits risk opening too many searchers or excessive system
resource consumption. See the Solr documentation for more information and
details about the autoCommit
and commitWithin
options:
pysolr
is licensed under the New BSD license.
For consistency, this project uses pre-commit to manage Git commit hooks:
- Install the pre-commit package: e.g. brew install pre-commit, pip install pre-commit, etc.
- Run pre-commit install each time you check out a new copy of this Git repository to ensure that every subsequent commit will be processed by running pre-commit run, which you may also do as desired. To test the entire repository or in a CI scenario, you can check every file rather than just the staged ones using pre-commit run --all.
The run-tests.py
script will automatically perform the steps below and is
recommended for testing by default unless you need more control.
Downloading, configuring and running Solr 4 looks like this:
./start-solr-test-server.sh
$ python -m unittest tests