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目标: 删除数据库中集合的条目/文档。假设集合名为“my_collection”。 使用的方法: 删除一个()或删除多个()
- 删除符合条件的所有文档: 以下操作将删除符合指定条件的所有文档。
result = my_collection.delete_many({"name": "Mr.Geek"})
- 要查看已删除的文档数,请执行以下操作:
print(result.deleted_count)
- 删除所有文档: 方法1: 使用delete_many()删除所有文档
result= my_collection.delete_many({})
方法2: 使用collection删除所有文档。删除()
result = my_collection.remove()
删除的最佳方法是删除集合,以便也删除数据索引,然后在该插入数据中创建一个新集合。
- 要删除收藏,请执行以下操作:
db.my_collection.drop()
我们首先在集合中插入一个文档,然后根据查询删除这些文档。
# 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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