MongoDB python | Delete Data and Drop Collection

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'}

My Personal Notes

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