pyroonga 0.4

Create Table

from pyroonga import tablebase, Column, Groonga

# create the base class for table definition.
Table = tablebase()

# define the table
class Site(Table):
   title = Column()
   name = Column()

class Blog(Table):
   entry = Column()

# create and bind the groonga connection object
grn = Groonga()
Table.bind(grn)

# create the all table on groonga's database
Table.create_all()

Data loading

data = [Site(_key='key1', title='foo', name='hoge'),
        Site(_key='key2', title='bar', name='fuga'),
        Site(_key='key3', title='baz', name='piyo'),
        Site(_key='key4', title='qux', name='xyzzy')]

Site.load(data)

The example above is load the data to groonga immediately. Also pseudo commit and rollback are supported:

data1 = [Site(_key='key5', title='Constellation', name='Sagittarius'),
         Site(_key='key6', title='Constellation', name='Pisces')]

# first load, but not load to groonga actually
data = Site.load(data1, immediate=False)

data2 = [Site(_key='key7', title='Constellation', name='Aquarius')]
data.load(data2)  # same as previous

# load data to groonga actually
data.commit()

Or reset loaded data:

data.rollback()

Note that loaded data reset is only if set immediate=False.

Query and get data as a mapped object

Get the all data from Site table:

data = Site.select().all()

And print the data:

for row in data:
    print(row._id, row._key, row.title)

Fulltext search query:

Site.select(title='foo').all()
Site.select(title='foo', name='bar').all()  # "or" search

The above is the same as a following groonga query:

select --table Site --query "title:@\"foo\""

Conditional search query:

Site.select(Site.title == 'bar').all()

Conbination for a condition:

Site.select((Site._id > 3) & (Site.title == 'baz')).all()

Limit and offset:

Site.select().limit(3).offset(2).all()

Sortby:

Site.select().sortby(Site._id).all()   # asc
Site.select().sortby(-Site._id).all()  # desc

Select the output columns:

# get the title and name columns
Site.select().output_columns(Site.title, Site.name).all()

# get the all columns
Site.select().output_columns(Site.ALL).all()

data = Site.select().sortby(Site._key).drilldown(Site.title).all()

for drilldown in data.drilldown:
    print(drilldown._key, drilldown._nsubrecs)

Site.select().drilldown(Site.title).sortby(Site._key).all()

Suggest

First, Create table if still not created:

from pyroonga import SuggestTable

grn = Groonga()
SuggestTable.bind(grn)
SuggestTable.create_all()

Second, Data loading:

import time
from pyroonga import event_query

data = [event_query(time=time.time(), sequence=1, item='e'),
        event_query(time=time.time(), sequence=1, item='en'),
        event_query(time=time.time(), sequence=1, item='eng'),
        event_query(time=time.time(), sequence=1, item='engi'),
        event_query(time=time.time(), sequence=1, item='engin'),
        event_query(time=time.time(), sequence=1, item='engine', type='submit')]
event_query.load(data)

Finally, Querying:

from pyroonga import item_query, SuggestType

query = 'en'
result = item_query.suggest(query).types(SuggestType.complete). \
        frequency_threshold(1).all()
for r in result.complete:
    print("key is '%s', score is %s" % (r._key, r._score))

See also http://groonga.org/docs/suggest.html

More information

Still not written.

v0.4 (2012-03-28)

• Add suggest

v0.3 (2012-02-17)

• Add load the data to groonga

v0.2 (2012-02-17)

• Add ORM

• Add documentation of basic usage

v0.1 (2012-02-05)

• First release