PysolrSolr 轻量的 Python 应用
Pysolr,是基于Python的Apache Solr轻量级封装。它提供了服务器查询并返回基于查询的结果接口。
特性:
基本功能,选择、更新和删除
索引优化
超时支持
使用环境:
Python 2.7 - 3.5
Requests 2.0+
Optional -
simplejson
Optional -
kazoo
for SolrCloud mode
示例代码:
# 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?", }, ]) # 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='*:*')
# For SolrCloud mode, initialize your Solr like this: zookeeper = pysolr.Zookeeper("zkhost1:2181,zkhost2:2181,zkhost3:2181") solr = pysolr.SolrCloud(zookeeper, "collection1")
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