MongoDB python | Delete Data and Drop Collection

Last Updated : 20 Mar, 2020

Prerequisite : MongoDB Basics, Insert and Update

Aim : To delete entries/documents of a collection in a database. Assume name of collection ‘my_collection’.
Method used : delete_one() or delete_many()

Remove All Documents That Match a Condition : The following operation removes all documents that match the specified condition.
```
 result = my_collection.delete_many({"name": "Mr.Geek"})
```
To see the number of documents deleted :
```
 print(result.deleted_count)
```
Remove All Documents :
Method 1 : Remove all documents using delete_many()
```
 result= my_collection.delete_many({})
```
Method 2 : Delete all documents using collection.remove()
```
 result = my_collection.remove() 
```
Best method to remove is to drop the collection so that data indexes are also removed and then create a new collection in that insert data.
To Drop a Collection :
```
db.my_collection.drop()
```

We first insert a document in the collection then deleted the documents as per query.

# Python program to illustrate 
# delete, drop and remove
from pymongo import MongoClient
  
try:
    conn = MongoClient()
    print("Connected successfully!!!")
except:  
    print("Could not connect to MongoDB")
  
# database
db = conn.database
  
# Created or Switched to collection names: my_gfg_collection
collection = db.my_gfg_collection
  
emp_rec1 = {
        "name":"Mr.Geek",
        "eid":24,
        "location":"delhi"
        }
emp_rec2 = {
        "name":"Mr.Shaurya",
        "eid":14,
        "location":"delhi"
        }
emp_rec3 = {
        "name":"Mr.Coder",
        "eid":14,
        "location":"gurugram"
        } 
  
# Insert Data
rec_id1 = collection.insert_one(emp_rec1)
rec_id2 = collection.insert_one(emp_rec2)
rec_id3 = collection.insert_one(emp_rec3)
print("Data inserted with record ids",rec_id1," ",rec_id2,rec_id3)
  
# Printing the document before deletion
cursor = collection.find()
for record in cursor:
    print(record)
  
# Delete Document with name : Mr Coder
result = collection.delete_one({"name":"Mr.Coder"})
  
# If query would have been delete all entries with eid:14
# use this
# result = collection.delete_many("eid":14})
   
cursor = collection.find()
for record in cursor:
print(record)

OUTPUT (comment line denoted by #)

Connected successfully!!!
Data inserted with record ids     
#Data INSERT
{'_id': ObjectId('5a02227c37b8552becf5ed2b'), 'name': 
'Mr.GfG', 'eid': 45, 'location': 'noida'}
{'_id': ObjectId('5a0c734937b8551c1cd03349'), 'name': 
'Mr.Shaurya', 'eid': 14, 'location': 'delhi'}
{'_id': ObjectId('5a0c734937b8551c1cd0334a'), 'name': 
'Mr.Coder', 'eid': 14, 'location': 'gurugram'}
#Mr.Coder is deleted
{'_id': ObjectId('5a02227c37b8552becf5ed2b'), 'name': 
'Mr.GfG', 'eid': 45, 'location': 'noida'}
{'_id': ObjectId('5a0c734937b8551c1cd03349'), 'name': 
'Mr.Shaurya', 'eid': 14, 'location': 'delhi'}

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