1. Interfaces to Xapian
Open source search day 2009

2. C++
#include <xapian.h>
Xapian::WritableDatabase db(path, Xapian::DB_OPEN);
Xapian::Document doc;
doc.add_term(“foo”);
db.add_document(doc);

3. Python: xapian
import xapian
db = xapian.WritableDatabase(path, xapian.DB_OPEN)
doc = xapian.Document()
doc.add_term(“foo”)
db.add_document(doc)

4. Python: xappy
from xappy import IndexerConnection, FieldActions
db = xappy.IndexerConnection(path)
db.add_field_action(“text”, FieldActions.INDEX_FREETEXT)
doc = xappy.UnprocessedDocument()
doc.append(“text”, “foo”)
db.add(doc)

5. Python: xappy
from xappy import IndexerConnection, FieldActions
db = xappy.IndexerConnection(path)
db.add_field_action(“text”, FieldActions.INDEX_FREETEXT,
language=”french”)
doc = xappy.UnprocessedDocument()
doc.append(“text”, “foo”)
db.add(doc)

6. from xappy2.core import *
db = xappy.IndexerConnection(path)
db.add_field_type(“text”, TEXT, language=”french”)
db.add_index(“text”, StandardAnalyser)
doc = xappy.UnprocessedDocument()
doc.append(“text”, “foo”)
db.add(doc)
Python: xappy2.core

7. Python: xappy2.server
REST based API

8. Python: xappy2.server
PUT to /v1/dbs/dbname
POST to /v1/dbs/dbname/schema/fields/text
{ 'type': 'text', 'freetext': {'language': 'en'} } }
POST to /v1/dbs/dbname/docs
{ 'text': ['foo'] }
(or PUT to /v1/dbs/dbname/docs/docid)

9. Python: Zope: ore.xapian
Zope style layer on top of xappy:
class Content( object ):
... implements( interfaces.IIndexable )
Asynchronous loading/updating, event integration,
etc

10. Python: Django: Djapian
Django integration layer on top of xapian
import djapian
class EntryIndexer(djapian.Indexer):
fields=["text"]
Tags=[ ("content", "content.text" ) ]

11. Python: Django: Haystack
Another Django integration layer on top of xapian
from haystack import indexes
class TextIndex(indexes.SearchIndex):
text = indexes.CharField(document=True,
use_template=True)

12. Other
Similar stack of interfaces for Ruby, PHP
Java, C# just have bindings, so far

13. Image Searching with Xappy
db.add_field_action('image', FieldActions.IMGSEEK,
terms = True)
doc.fields.append('image', path_to_image_file)
db.add(doc)
query = sconn.query_image_similarity('image', docid='0')