Python With MongoDB in advanced Python.pptx

MONGODB WITH PYTHON
MongoDB is a cross-platform, document-oriented database that works on the
concept of collections and documents. MongoDB offers high speed, high availability,
and high scalability.
The next question which arises in the mind of the people is “Why MongoDB”?
Reasons to opt for MongoDB :
It supports hierarchical data structure
(It supports associate arrays like Dictionaries in Python.)
Built-in Python drivers to connect python-application with Database. Example-
PyMongo
It is designed for Big Data.
Deployment of MongoDB is very easy.

Python has a native library for MongoDB. The name of the available library is “PyMongo”. To import this,
execute the following command:
from pymongo import MongoClient
Create a connection :
The very first after importing the module is to create a MongoClient.
from pymongo import MongoClient
client = MongoClient(“mongodb://localhost:27017/”)
Access DataBase Objects : To create a database or switch to an existing database we use:
mydatabase = client[‘name_of_the_database’]
Accessing the Collection : Collections are equivalent to Tables in RDBMS. We access a collection in PyMongo in
the same way as we access the Tables in the RDBMS. To access the table, say table name “myTable” of the
database, say “mydatabase”.
EX: mydb = client[‘mydatabase’]
Check if Database Exists
print(myclient.list_database_names())

CREATING COLLECTIONS
Create a collection in MongoDB, use database object and specify the name of the
collection you want to create.
MongoDB will create the collection if it does not exist.
import pymongo
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["mydatabase"]
mycol = mydb["customers"]

INSERT A DOCUMENT
To insert a record, or document as it is called in MongoDB, into a collection, we use
the insert_one() method.
The first parameter of the insert_one() method is a dictionary containing the
name(s) and value(s) of each field in the document you want to insert.
import pymongo
mydict = { "name": "John", "address": "Highway 37" }
x = mycol.insert_one(mydict)

Return the _id Field
The insert_one() method returns a InsertOneResult object, which has a property, inserted_id, that
holds the id of the inserted document.
mydict = { "name": "Peter", "address": "Lowstreet 27" }
x = mycol.insert_one(mydict)
print(x.inserted_id)
Insert Multiple Documents
To insert multiple documents into a collection in MongoDB, we use the insert_many() method.
The first parameter of the insert_many() method is a list containing dictionaries with the data you want to
insert:

import pymongo
mylist = [
{ "name": "Amy", "address": "Apple st 652"},
{ "name": "Hannah", "address": "Mountain 21"},
{ "name": "Michael", "address": "Valley 345"},
{ "name": "Sandy", "address": "Ocean blvd 2"},
{ "name": "Betty", "address": "Green Grass 1"},
{ "name": "Richard", "address": "Sky st 331"},
{ "name": "Susan", "address": "One way 98"},
{ "name": "Vicky", "address": "Yellow Garden 2"},
{ "name": "Ben", "address": "Park Lane 38"},
{ "name": "William", "address": "Central st 954"},
{ "name": "Chuck", "address": "Main Road 989"},
{ "name": "Viola", "address": "Sideway 1633"}
]
x = mycol.insert_many(mylist)
#print list of the _id values of the inserted documents:
print(x.inserted_ids)

INSERT RECORDS WITH SPECIFIC IDS
If you do not want MongoDB to assign unique ids for you document, you can specify
the _id field when you insert the document(s).
Remember that the values has to be unique. Two documents cannot have the same
_id.
import pymongo

mylist = [
{ "_id": 1, "name": "John", "address": "Highway 37"},
{ "_id": 2, "name": "Peter", "address": "Lowstreet 27"},
{ "_id": 3, "name": "Amy", "address": "Apple st 652"},
{ "_id": 4, "name": "Hannah", "address": "Mountain 21"},
{ "_id": 5, "name": "Michael", "address": "Valley 345"},
{ "_id": 6, "name": "Sandy", "address": "Ocean blvd 2"},
{ "_id": 7, "name": "Betty", "address": "Green Grass 1"},
{ "_id": 8, "name": "Richard", "address": "Sky st 331"},
{ "_id": 9, "name": "Susan", "address": "One way 98"},
{ "_id": 10, "name": "Vicky", "address": "Yellow Garden 2"},
{ "_id": 11, "name": "Ben", "address": "Park Lane 38"},
{ "_id": 12, "name": "William", "address": "Central st 954"},
{ "_id": 13, "name": "Chuck", "address": "Main Road 989"},
{ "_id": 14, "name": "Viola", "address": "Sideway 1633"}
]
x = mycol.insert_many(mylist)
#print list of the _id values of the inserted documents:
print(x.inserted_ids)

FIND
Find One
To select data from a collection in MongoDB, we can use the find_one() method.
The find_one() method returns the first occurrence in the selection.
import pymongo
x = mycol.find_one()
print(x)

FIND ALL
To select data from a table in MongoDB, we can also use the find() method.
The find() method returns all occurrences in the selection.
The first parameter of the find() method is a query object. In this example we use
an empty query object, which selects all documents in the collection.
import pymongo
for x in mycol.find():
print(x)

RETURN ONLY SOME SPECIFIC FIELD
The second parameter of the find() method is an object describing which fields to include in the result.
This parameter is optional, and if omitted, all fields will be included in the result.
import pymongo
for x in mycol.find({},{ "_id": 0, "name": 1, "address": 1 }):
print(x)
This example will exclude "address" from the result:
import pymongo
for x in mycol.find({},{ "address": 0 }):
print(x)

FILTER BY RESULT
When finding documents in a collection, you can filter the result by using a query object.
The first argument of the find() method is a query object, and is used to limit the search.
import pymongo
myquery = { "address": "Park Lane 38" }
mydoc = mycol.find(myquery)
for x in mydoc:
print(x)
Advanced Query:
To make advanced queries you can use modifiers as values in the query object.
E.g. to find the documents where the "address" field starts with the letter "S" or higher (alphabetically), use the greater than
modifier: {"$gt": "S"}:

import pymongo
myquery = { "address": { "$gt": "S" } }
for x in mydoc:
print(x)
Filter With Regular Expressions
You can also use regular expressions as a modifier.
To find only the documents where the "address" field starts with the letter "S", use the regular
expression {"$regex": "^S"}:

import pymongo
myquery = { "address": { "$regex": "^S" } }
for x in mydoc:
print(x)
Sort the Result
Use the sort() method to sort the result in ascending or descending order.
The sort() method takes one parameter for "fieldname" and one parameter for "direction" (ascending is the default
direction).
import pymongo
mydoc = mycol.find().sort("name")
for x in mydoc:
print(x)

SORT DESCENDING
Use the value -1 as the second parameter to sort descending.
sort("name", 1) #ascending
sort("name", -1) #descending
import pymongo
mydoc = mycol.find().sort("name", -1)
for x in mydoc:
print(x)

DELETE
To delete one document, we use the delete_one() method.
The first parameter of the delete_one() method is a query object defining which document to delete.
import pymongo
myquery = { "address": "Mountain 21" }
mycol.delete_one(myquery)
Delete Many Documents
To delete more than one document, use the delete_many() method.
The first parameter of the delete_many() method is a query object defining which documents to delete.

Delete Many Documents
import pymongo
myquery = { "address": {"$regex": "^S"} }
x = mycol.delete_many(myquery)
print(x.deleted_count, " documents deleted.")
Delete All Documents in a Collection
To delete all documents in a collection, pass an empty query object to the delete_many() method:
import pymongo
x = mycol.delete_many({})
print(x.deleted_count, " documents deleted.")

DROP COLLECTIONS
You can delete a table, or collection as it is called in MongoDB, by using the drop() method.
import pymongo
mycol.drop()
The drop() method returns true if the collection was dropped successfully, and false if the collection
does not exist.
Update Collection
You can update a record, or document as it is called in MongoDB, by using the update_one() method.
The first parameter of the update_one() method is a query object defining which document to
update.

UPDATE
import pymongo
myquery = { "address": "Valley 345" }
newvalues = { "$set": { "address": "Canyon 123" } }
mycol.update_one(myquery, newvalues)
#print "customers" after the update:
for x in mycol.find():
print(x)

Update Many
To update all documents that meets the criteria of the query, use the update_many() method.
import pymongo
myquery = { "address": { "$regex": "^S" } }
newvalues = { "$set": { "name": "Minnie" } }
x = mycol.update_many(myquery, newvalues)
print(x.modified_count, "documents updated.")

LIMIT
To limit the result in MongoDB, we use the limit() method.
The limit() method takes one parameter, a number defining how many documents to return.
Consider you have a "customers" collection:Customers
import pymongo
myresult = mycol.find().limit(5)
#print the result:
for x in myresult:
print(x)

Python With MongoDB in advanced Python.pptx

More Related Content

What's hot (17)

Similar to Python With MongoDB in advanced Python.pptx (20)

More from Ramakrishna Reddy Bijjam (20)

Recently uploaded (20)

Python With MongoDB in advanced Python.pptx