solrpy | Automatically exported from code.google.com/p/solrpy
kandi X-RAY | solrpy Summary
kandi X-RAY | solrpy Summary
Here's the basic idea:.
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Top functions reviewed by kandi - BETA
- Decorate a function to commit commits
- Perform an update request
- Perform a POST request
- Construct a query string
- Check response status
- Reconnect to the server
- Close the connection
- Adds documents to the database
- Add fields to lst
- Add multiple documents
- Convert UTC time to ISO 8601
- Execute raw query
- Send SOLR request
- Convert to UTF - 8
- End an xml element
- Convert a string into a datetime object
- Add a docstring
- Add documents to the database
solrpy Key Features
solrpy Examples and Code Snippets
import solr
# create a connection to a solr server
s = solr.SolrConnection('http://example.org:8083/solr')
# add a document to the index
doc = {
"id": 1,
"title": "Lucene in Action",
"author": ["Erik Hatcher", "Otis Gospodnetić"]
}
s.add(doc,
response = s.query('title:lucene', facet='true', facet_field='subject')
response = s.query('title:lucene', facet='true', facet_field=['subject', 'publisher'])
curl -sSL https://raw.githubusercontent.com/moliware/travis-solr/master/travis-solr.sh | SOLR_VERSION=4.10.3 SOLR_CONFS=tests bash
Community Discussions
Trending Discussions on solrpy
QUESTION
If I want to achieve highlight function of Solr in Django with python, how could it be done by using the package solrpy?
How did solrpy deal with it, as the highlighting results live in a absolute fragment on the SolrResponse object,shown as a dictionary of dictionaries.
What's more, does solrpy still work for more function of solr such as faceting, highlighting and stuff, besides basic query
...ANSWER
Answered 2019-Mar-21 at 20:20Yes. The code below allows highlighting (pysolr, version 3.6.0):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install solrpy
You can use solrpy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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