Create a connection. The very first thing after importing the module — this is to create a MongoClient.
from pymongo import MongoClient
client = MongoClient ()
Then connect to the host and default port. The connection to the host and port is made explicitly. The following command is used to connect MongoClient to a local host that runs on port number 27017.
Accessing objects of the database: to create a database or switch to an existing database, we use: Method 1: dictionary
mydatabase = client [’name_of_the_database’]
Method 2:
mydatabase = client.name_of_the_database
If there is no previously created database with this name, MongoDB will implicitly create the database d data for the user. Note. The database fill name will not allow the use of a dash (-) in it. Names like my-Table will throw an error. Thus, underscores are allowed in the name.
Accessing the collection: Collections are equivalent to tables in an RDBMS. We access the collection in PyMongo in the same way we access tables in an RDBMS. To access the table, say the name of the database table "myTable", say "mydatabase". Method 1:
mycollection = mydatabase [’myTable’]
Method 2 :
mycollection = mydatabase.myTable
" MongoDB stores the database as dictionaries as shown:"
record = {title: ’MongoDB and Python’, description:’ MongoDB is no SQL database’, tags: [’mongodb’,’ database ’,’ NoSQL’], viewers: 104}
& # 39; _id & # 39; — this is a special key that is added automatically if the programmer forgets to add explicitly. _id — it is a 12-byte hexadecimal number that ensures that each inserted document is unique.
Insert data inside the collection: Methods Used:
insert_one () or insert_many ()
We usually use the insert_one () method in our collections. Let’s say we want to enter data named as a record into "myTable" from "mydatabase".
rec = myTable.insert_one (record)
All the code looks like this when you need to implement it.
If you are as Python.Engineering and would like to contribute, you can also write an article via contribute.python.engineering or by posting the article [email protected] See my article appearing on the Python.Engineering homepage and help other geeks.
Please post comments if you find anything wrong or if you would like to share more information on the topic discussed above.
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