An ORM Client library for SolrCloud


Keywords
solr, cloud, solrcloud, client, python, orm
License
MIT
Install
pip install wukong==0.4.0

Documentation

Wukong

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Wukong offers an ORM query engine for Solr and Solr Cloud.

Installation

	pip install wukong

Usage

Create Solr Collection

Before you use wukong, make sure you already created your collection on SolrCloud. For example,

	curl http://localhost:8080/solr/admin/collections?action=CREATE&name=users&numShards=1&replicationFactor=2

A sample schema can be like:

<fields>
	<uniqueKey>id</uniqueKey>
  	<field name="id" type="int" indexed="true" stored="true" required="true" />
	<field name="name" type="string" indexed="true" stored="true" required="true"/>
	<field name="city" type="string" indexed="true" stored="true"/>
	<field name="age" type="int" indexed="true" stored="true"/>
	...
</fields>

Create a model class for Solr collection

Create a class for your Solr collection by extending the class SolrDoc. For example,

from wukong.models import SolrDoc

class User(SolrDoc):
    collection_name = "users"
    solr_hosts = "localhost:8080,localhost:8081"

    def validate_schema_fields(self, fields):
    	pass

    def get_data_for_solr(self):
    	pass

You can overide existing methods to fit your business logic, like validate_schema_fields, get_data_for_solr.

Use Solr QueryManger

Creat a document

User.documents.create(User_id=12345, name="Test Name", city="Test City")

Update a document

User.documents.update(User_id=12345, name="Test Name")

To index a batch of documentsto your Solr collection, use the container class: SolrDocs. Instead of accessing SOLR multiple times, it only issues one request to SOLR, which is more efficient.

	docs = [
		User(User_id=12345, name="Test Name1", city="Test Cit1"),
		User(User_id=123456, name="Test Name2", city="Test City2")
		...
	]
	docs = SolrDocs(docs)
	docs.index()

Fetch a document

User.documents.get(User_id__eq=12345)

Fetch multiple documents

User.documents.filter(name__eq="Test Name", city__wc="Test*").all()

Use compounded logic

User.documents.filter(OR(city__wc="Test*", name__eq="Test Name"))

Sort by a field

User.documents.sort_by("-name").all()

Force only return a certain fields

User.documents.only("is", "name").all()

Force only return the top 10 documents

User.documents.limit(10).all()

Chain the query methods

User.documents.filter(city__wc="Test*").sort_by("-name").limit(10).all()

Delete a document

User.documents.get(User_id__eq=12345).delete()

Batch delete documents

User.documents.filter(name__eq="Test Name").all().delete()

Documentations

Detailed docs can be found at http://wukong.readthedocs.io/en/latest/