MongoDB python 删除数据并删除集合

先决条件:MongoDB基础, 插入和更新
目标 :
删除数据库中集合的条目/文档。假设集合名称为" my_collection"。
使用方法:
delete_one()或delete_many()
删除所有符合条件的文档:
以下操作将删除所有符合指定条件的文档。

result = my_collection.delete_many({"name": "Mr.Geek"})

要查看已删除的文档数:
print(result.deleted_count)

删除所有文件:
方法1:
【MongoDB python 删除数据并删除集合】使用delete_many()删除所有文档
result= my_collection.delete_many({})

方法2:使用collection.remove()删除所有文档
result = my_collection.remove()

删除的最佳方法是删除集合, 以便同时删除数据索引, 然后在该插入数据中创建一个新集合。
删除收藏集:
db.my_collection.drop()

我们首先在集合中插入一个文档, 然后根据查询将其删除。
# Python program to illustrate # delete, drop and remove from pymongo import MongoClienttry : 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_collectionemp_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'}

注意怪胎!巩固你的基础Python编程基础课程和学习基础知识。
首先, 你的面试准备可通过以下方式增强你的数据结构概念:Python DS课程。

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