![Connection Part 1
>>> import pymongo
>>> conn = pymongo.Connection()
is equivalent to
>>> conn = pymongo.Connection('localhost', 27017)
Getting the database
>>> db = conn.testdb
is equivalent to
>>> db = conn['testdb']](https://image.slidesharecdn.com/pymongofortheclueless-110924205326-phpapp02/85/Pymongo-for-the-Clueless-7-320.jpg)
![Basic Part 2
Getting the collection
>>> collection = db.test_collection
also is equivalent to
>>> collection = db['test_collection']
Make it understood from now](https://image.slidesharecdn.com/pymongofortheclueless-110924205326-phpapp02/85/Pymongo-for-the-Clueless-8-320.jpg)
![Insert New Document(s)
>>> dummy = db['dummy']
>>> dummy.insert({'key': 'a',
'value': 1})
ObjectId('4e7c50eb059bf61d2f000000')
Multiple insert
>>> docs = [{'key':'b', 'value':2},
{'key':'c', 'value':3}]
>>> dummy.insert(docs)
[ObjectId('4e7c552a059bf61d2f000002'), ObjectId
('4e7c552a059bf61d2f000003')]](https://image.slidesharecdn.com/pymongofortheclueless-110924205326-phpapp02/85/Pymongo-for-the-Clueless-9-320.jpg)
Pymongo for the Clueless
- 1. PyMongo for the Clueless klrkdekira@gmail.com
- 4. ● json-like (bson) document store ● full index support ● replication and high availability ● auto sharding ● querying ● fast in-place update ● map/reduce ● GridFS
- 5. SQL to Mongo Mapping MySQL Term MongoTerm database database table collection index index row BSON document column BSON field join embedding and linking primary key _id field
- 6. PyMongo The romantic story of and
- 7. Connection Part 1 >>> import pymongo >>> conn = pymongo.Connection() is equivalent to >>> conn = pymongo.Connection('localhost', 27017) Getting the database >>> db = conn.testdb is equivalent to >>> db = conn['testdb']
- 8. Basic Part 2 Getting the collection >>> collection = db.test_collection also is equivalent to >>> collection = db['test_collection'] Make it understood from now
- 9. Insert New Document(s) >>> dummy = db['dummy'] >>> dummy.insert({'key': 'a', 'value': 1}) ObjectId('4e7c50eb059bf61d2f000000') Multiple insert >>> docs = [{'key':'b', 'value':2}, {'key':'c', 'value':3}] >>> dummy.insert(docs) [ObjectId('4e7c552a059bf61d2f000002'), ObjectId ('4e7c552a059bf61d2f000003')]
- 10. Find Part 1 >>> dummy.find_one() {u'_id': ObjectId('4e7c50eb059bf61d2f000000'), u'key': u'a', u'value': 1} >>> dummy.find() <pymongo.cursor.Cursor object at 0x2810ed0> >>> for d in dummy.find(): print d {u'_id': ObjectId('4e7c50eb059bf61d2f000000'), u'key': u'a', u'value': 1} {u'_id': ObjectId('4e7c5544059bf61d2f000004'), u'key': u'b', u'value': 2} {u'_id': ObjectId('4e7c5544059bf61d2f000005'), u'key': u'c', u'value': 3}
- 11. Find Part 2 >>> dummy.find_one({'key':'a'}) {u'_id': ObjectId('4e7c50eb059bf61d2f000000'), u'key': u'a', u'value': 1} Query by ObjectId >>> from bson.objectid import ObjectId >>> dummy.find_one({'_id':ObjectId('4e7c50eb059bf61d2f000000')}) {u'_id': ObjectId('4e7c50eb059bf61d2f000000'), u'key': u'a', u'value': 1} Same goes with find.
- 12. Update >>> dummy.update({'key':'a'}, {'value':2}) Update multiple document, destructive >>> dummy.update({'key':'a'}, {'value':2}, multi=True) Just to overwrite attributes >>> dummy.update({'key':'a'}, {'$set':{'value':2}})
- 13. Delete Remove multiple file >>> dummy.remove({'key':'a'}) Remove by ObjectId >>> dummy.remove({'_id':ObjectId('4e7c50eb059bf61d2f000000')})
- 14. Stored JS >>> db.system.js.add = "function (x, y) { return x + y; }" >>> db.system.js.add(1, 2) 3.0 >>> del db.system.js.add
- 15. QUESTION ?