Python's Pymongo Usage summary

What is Pymongo?Pymongo is a driver that enables a Python program to use a MongoDB database, written in Python. InstallationEnvironment: Ubuntu 14.04+PYTHON2.7+MONGODB 2.4first go to the official website to download the package, address click Open Link. After decompression, use python setup.py Install or install pip-m with pip Pymongo Basic use to create a connection

Import pymongoclient = Pymongo. Mongoclient (' localhost ', 27017)

Or it could be.

Import pymongoclient = mongoclient (' mongodb://localhost:27017/')

Connecting to a database

db = Client.mydb

or

db = client[' MyDB ')

Connection Aggregationaggregation is equivalent to a table in a relational database

Collection = Db.my_collection

Or

Collection = Db[' my_collection ']

View all clustered names under the database

Db.collection_names ()

Inserting records

Collection.insert ({"Key1": "Value1", "Key2", "value2"})

Deleting records

Delete all

Collection.remove ()

Delete by Condition

Collection.remove ({"Key1": "Value1"})

Update record

Collection.update ({"Key1": "Value1"}, {"$set": {"Key2": "value2", "Key3": "Value3"}})

Query recordsquery a record: Find_one () returns the first record without any parameters. Conditional lookup returns with parameters

Collection.find_one () Collection.find_one ({"Key1": "Value1"})

querying multiple records: Find () returns all records without parameters, with parameters returned by conditional lookup

Collection.find () collection.find ({"Key1": "Value1"})

View multiple records in a cluster

For item in Collection.find ():        Print Item

View the total number of clustered records

Print Collection.find (). Count ()

Query result sortsort on a single column

Collection.find (). Sort ("Key1") # Defaults to ascending Collection.find (). Sort ("Key1", Pymongo. Ascending) # Ascending collection.find (). Sort ("Key1", Pymongo. Descending) # Descending

sort on multiple columns

Collection.find (). Sort ([("Key1", Pymongo. Ascending), ("Key2", Pymongo. Descending)])

Python's Pymongo Usage summary