python 连接mongodb ，并将EXCEL文档导入mongodb

import pymongo

client = pymongo.MongoClient(‘mongodb://localhost:27017‘)
#或
#client = pymongo.MongoClient(‘localhost‘，‘27017‘)

## 如果设置了权限,注意xxx用户权限要可以cover到后面使用到的数据库
# client = pymongo.MongoClient(‘10.134.80.119‘, 20000, username=‘xxx‘, password=‘xxx‘)

#操作test数据库
db_name = ‘test‘
db = client[db_name]

collection_set01 = db[‘set01‘]

record_l = [
{‘_id‘:0,‘name‘: ‘zzzzz‘,‘age‘: -27,‘high‘: 176},
{‘_id‘:1,‘name‘: ‘zhangweijian‘,‘age‘: 27,‘high‘: 171},
{‘_id‘:2,‘name‘: ‘zhang‘,‘age‘: 26,‘high‘: 173},
{‘_id‘:3,‘name‘: ‘wei‘,‘age‘: 29,‘high‘: 180},
{‘_id‘:4,‘name‘: ‘weijian‘,‘age‘: 30,‘high‘: 158},
{‘_id‘:5,‘name‘: ‘zhangjian‘,‘age‘: 22,‘high‘: 179},
{‘_id‘:6,‘name‘: ‘zwj‘,‘age‘: 19,‘high‘: 166},
{‘_id‘:100,‘name‘: ‘zwj‘,‘age‘: 19,‘list‘:[2,3,5]},
{‘_id‘:101,‘name‘: ‘zwj‘,‘age‘: 19,‘list‘:[1,2,3,4,5,6,7]},
]
try:
    for record in record_l:
        collection_set01.save(record)
except pymongo.errors.DuplicateKeyError:
    print ‘record exists‘
except Exception as e:
    print e

newinsert1 = {‘_id‘:7,‘comment‘:‘test delete‘}
newinsert2 = {‘_id‘:8,‘comment‘:‘test delete‘}
newinsert3 = {‘_id‘:9,‘comment‘:‘test delete‘}
collection_set01.save(newinsert1)
collection_set01.save(newinsert2)
collection_set01.save(newinsert3)

remove_before = collection_set01.find()
print ‘delete before‘
for obj in remove_before:
    print obj

collection_set01.delete_many({‘_id‘:{‘$gt‘:6,‘$lt‘:100}})   #删除所有满足条件的文档,删除_id大于6，小于100
collection_set01.delete_one({‘_id‘:6})   #删除一条满足条件的文档,删除_id=6
#collection_set01.delete_many({}) #删除整个集合
remove_after = collection_set01.find()
print ‘delete after‘
for obj in remove_after:
    print obj

#输出结果
delete before
{u‘comment‘: u‘after replace_one operation just exists comment(key)‘, u‘_id‘: 1}
{u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
{u‘high‘: 180, u‘comment‘: u‘use update_many‘, u‘age‘: 29, u‘_id‘: 3, u‘name‘: u‘wei‘}
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
{u‘high‘: 176, u‘comment‘: u‘use update_many‘, u‘age‘: -27, u‘_id‘: 0, u‘name‘: u‘zzzzz‘}
{u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
{u‘high‘: 166, u‘age‘: 19, u‘_id‘: 6, u‘name‘: u‘zwj‘}
{u‘comment‘: u‘test delete‘, u‘_id‘: 7}
{u‘comment‘: u‘test delete‘, u‘_id‘: 8}
{u‘comment‘: u‘test delete‘, u‘_id‘: 9}
delete after
{u‘comment‘: u‘after replace_one operation just exists comment(key)‘, u‘_id‘: 1}
{u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
{u‘high‘: 180, u‘comment‘: u‘use update_many‘, u‘age‘: 29, u‘_id‘: 3, u‘name‘: u‘wei‘}
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
{u‘high‘: 176, u‘comment‘: u‘use update_many‘, u‘age‘: -27, u‘_id‘: 0, u‘name‘: u‘zzzzz‘}
{u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}

collection_set01.replace_one({‘_id‘: 1},{‘comment‘: ‘after replace_one operation just exists comment(key)‘})　　#replace_one用指定的key-value替代原来所有的key-value
collection_set01.update_one({ "high" : { ‘$gt‘ : 170 } } , { ‘$set‘ : { "comment" : "更新于身高高于170的一条记录"}}) #update_one更新已经对应的key-value，其它不变
collection_set01.update_many({‘high‘:{‘$gt‘:171}},{‘$set‘:{‘comment‘:‘use update_many‘}})  #同上，能够update所有符合匹配条件的文档

find(self, *args, **kwargs) method of pymongo.collection.Collection instance
    Query the database.

    The `filter` argument is a prototype document that all results
    must match. For example:

    >>> db.test.find({"hello": "world"})

    only matches documents that have a key "hello" with value
    "world".  Matches can have other keys *in addition* to
    "hello". The `projection` argument is used to specify a subset
    of fields that should be included in the result documents. By
    limiting results to a certain subset of fields you can cut
    down on network traffic and decoding time.

    Raises :class:`TypeError` if any of the arguments are of
    improper type. Returns an instance of
    :class:`~pymongo.cursor.Cursor` corresponding to this query.

    The :meth:`find` method obeys the :attr:`read_preference` of
    this :class:`Collection`.

    :Parameters:
      - `filter` (optional): a SON object specifying elements which
        must be present for a document to be included in the
        result set
      - `projection` (optional): a list of field names that should be
        returned in the result set or a dict specifying the fields
        to include or exclude. If `projection` is a list "_id" will
        always be returned. Use a dict to exclude fields from
        the result (e.g. projection={‘_id‘: False}).
      - `skip` (optional): the number of documents to omit (from
        the start of the result set) when returning the results
      - `limit` (optional): the maximum number of results to
        return
      - `no_cursor_timeout` (optional): if False (the default), any
        returned cursor is closed by the server after 10 minutes of
        inactivity. If set to True, the returned cursor will never
        time out on the server. Care should be taken to ensure that
        cursors with no_cursor_timeout turned on are properly closed.
      - `cursor_type` (optional): the type of cursor to return. The valid
        options are defined by :class:`~pymongo.cursor.CursorType`:

        - :attr:`~pymongo.cursor.CursorType.NON_TAILABLE` - the result of
          this find call will return a standard cursor over the result set.
        - :attr:`~pymongo.cursor.CursorType.TAILABLE` - the result of this
          find call will be a tailable cursor - tailable cursors are only
          for use with capped collections. They are not closed when the
          last data is retrieved but are kept open and the cursor location
          marks the final document position. If more data is received
          iteration of the cursor will continue from the last document
          received. For details, see the `tailable cursor documentation
          <http://www.mongodb.org/display/DOCS/Tailable+Cursors>`_.
        - :attr:`~pymongo.cursor.CursorType.TAILABLE_AWAIT` - the result
          of this find call will be a tailable cursor with the await flag
          set. The server will wait for a few seconds after returning the
          full result set so that it can capture and return additional data
          added during the query.
        - :attr:`~pymongo.cursor.CursorType.EXHAUST` - the result of this
          find call will be an exhaust cursor. MongoDB will stream batched
          results to the client without waiting for the client to request
          each batch, reducing latency. See notes on compatibility below.

      - `sort` (optional): a list of (key, direction) pairs
        specifying the sort order for this query. See
        :meth:`~pymongo.cursor.Cursor.sort` for details.
      - `allow_partial_results` (optional): if True, mongos will return
        partial results if some shards are down instead of returning an
        error.
      - `oplog_replay` (optional): If True, set the oplogReplay query
        flag.
      - `modifiers` (optional): A dict specifying the MongoDB `query
        modifiers`_ that should be used for this query. For example::

          >>> db.test.find(modifiers={"$maxTimeMS": 500})

      - `batch_size` (optional): Limits the number of documents returned in
        a single batch.
      - `manipulate` (optional): **DEPRECATED** - If True (the default),
        apply any outgoing SON manipulators before returning.
      - `collation` (optional): An instance of
        :class:`~pymongo.collation.Collation`. This option is only supported
        on MongoDB 3.4 and above.

    .. note:: There are a number of caveats to using
      :attr:`~pymongo.cursor.CursorType.EXHAUST` as cursor_type:

      - The `limit` option can not be used with an exhaust cursor.

      - Exhaust cursors are not supported by mongos and can not be
        used with a sharded cluster.


    The :meth:`find` method obeys the :attr:`read_preference` of
    this :class:`Collection`.

    :Parameters:
      - `filter` (optional): a SON object specifying elements which
        must be present for a document to be included in the
        result set
      - `projection` (optional): a list of field names that should be
        returned in the result set or a dict specifying the fields
        to include or exclude. If `projection` is a list "_id" will
        always be returned. Use a dict to exclude fields from
        the result (e.g. projection={‘_id‘: False}).
      - `skip` (optional): the number of documents to omit (from
        the start of the result set) when returning the results
      - `limit` (optional): the maximum number of results to
        return
      - `no_cursor_timeout` (optional): if False (the default), any
        returned cursor is closed by the server after 10 minutes of
        inactivity. If set to True, the returned cursor will never
        time out on the server. Care should be taken to ensure that
        cursors with no_cursor_timeout turned on are properly closed.
      - `cursor_type` (optional): the type of cursor to return. The valid
        options are defined by :class:`~pymongo.cursor.CursorType`:

        - :attr:`~pymongo.cursor.CursorType.NON_TAILABLE` - the result of
          this find call will return a standard cursor over the result set.
        - :attr:`~pymongo.cursor.CursorType.TAILABLE` - the result of this
          find call will be a tailable cursor - tailable cursors are only
          for use with capped collections. They are not closed when the
          last data is retrieved but are kept open and the cursor location
          marks the final document position. If more data is received
          iteration of the cursor will continue from the last document
          received. For details, see the `tailable cursor documentation
          <http://www.mongodb.org/display/DOCS/Tailable+Cursors>`_.
        - :attr:`~pymongo.cursor.CursorType.TAILABLE_AWAIT` - the result
          of this find call will be a tailable cursor with the await flag
          set. The server will wait for a few seconds after returning the
          full result set so that it can capture and return additional data
          added during the query.
        - :attr:`~pymongo.cursor.CursorType.EXHAUST` - the result of this
          find call will be an exhaust cursor. MongoDB will stream batched
          results to the client without waiting for the client to request
          each batch, reducing latency. See notes on compatibility below.

      - `sort` (optional): a list of (key, direction) pairs
        specifying the sort order for this query. See
        :meth:`~pymongo.cursor.Cursor.sort` for details.
      - `allow_partial_results` (optional): if True, mongos will return
        partial results if some shards are down instead of returning an
        error.
      - `oplog_replay` (optional): If True, set the oplogReplay query
        flag.
      - `modifiers` (optional): A dict specifying the MongoDB `query
        modifiers`_ that should be used for this query. For example::

          >>> db.test.find(modifiers={"$maxTimeMS": 500})

      - `batch_size` (optional): Limits the number of documents returned in
        a single batch.
      - `manipulate` (optional): **DEPRECATED** - If True (the default),
        apply any outgoing SON manipulators before returning.
      - `collation` (optional): An instance of
        :class:`~pymongo.collation.Collation`. This option is only supported
        on MongoDB 3.4 and above.

#1.查询身高小于180的文档
print ‘-------------身高小于180:‘
print type(collection_set01.find({‘high‘:{‘$lt‘:180}})) #<class ‘pymongo.cursor.Cursor‘>
for r in collection_set01.find({‘high‘:{‘$lt‘:180}}):
    print r
print type(collection_set01.find_one({‘high‘:{‘$lt‘:180}})) #<type ‘dict‘>
print ‘use find_one:‘,collection_set01.find_one({‘high‘:{‘$lt‘:180}})[‘high‘]
print ‘use find_one:‘,collection_set01.find_one({‘high‘:{‘$lt‘:180}})

#2.查询特定键(select key1,key2 from table;)
print ‘-------------查询特定键--------‘
print ‘-------------查询身高大于170,并只列出_id,high和age字段(使用列表形式_id默认打印出来,可以使用{}忽视_id):‘
for r in collection_set01.find({‘high‘:{‘$gt‘:170}},projection=[‘high‘,‘age‘]):print r
print ‘\n‘
print ‘--------------skip参数用法‘
for r in collection_set01.find({‘high‘:{‘$gt‘:170}},[‘high‘,‘age‘],skip=1):print r #skip=1跳过第一个匹配到的文档
for r in collection_set01.find({‘high‘:{‘$gt‘:170}},[‘high‘,‘age‘]).skip(1):print r #skip=1跳过第一个匹配到的文档
print ‘\n‘
print ‘--------------limit参数用法‘
for r in collection_set01.find({‘high‘:{‘$gt‘:170}},[‘high‘,‘age‘],limit=1):print r #limit=2限制显示2条文档
print ‘\n‘
print ‘--------------用{}描述特定键‘
for r in collection_set01.find({‘high‘:{‘$gt‘:170}},{‘high‘:1,‘age‘:1,‘_id‘:False}):print r

print ‘---------------------多条件查询‘
print collection_set01.find_one({‘high‘:{‘$gt‘:10},‘age‘:{‘$lt‘:26,‘$gt‘:10}})

#3.$in
print ‘----------------IN‘
for r in collection_set01.find({"age":{"$in":[23, 26, 32]}}): print r  # select * from users where age in (23, 26, 32)
#for u in db.users.find({"age":{"$nin":(23, 26, 32)}}): print u # select * from users where age not in (23, 26, 32)

#4.count统计数目
print ‘----------------count‘
print collection_set01.find({"age":{"$gt":20}}).count() # select count(*) from set01 where age > 10

#5.$or
print ‘----------------条件或‘
print ‘大于等于29或者小于23‘
for r in collection_set01.find({"$or":[{"age":{"$lte":23}}, {"age":{"$gte":29}}]}): print r

#6.$exists，是否存在字段
print ‘------------exists‘
for r in collection_set01.find({‘age‘:{‘$exists‘:True}}):print ‘age exists‘,r # select * from 集合名 where exists 键1
for r in collection_set01.find({‘age‘:{‘$exists‘:False}}):print ‘age not exists‘,r # select * from 集合名 where not exists 键1

#7.正则表达式查询
print ‘正则表达式查询‘
#method 1
for r in collection_set01.find({‘name‘:{‘$regex‘:r‘.*wei.*‘}}):print r   #找出name字段中包含wei的文档
#method 2
import re
Regex = re.compile(r‘.*zhang.*‘,re.IGNORECASE)
for r in collection_set01.find({‘name‘:Regex}):print r   #找出name字段中包含wei的文档


#8.sort排序

print ‘--------------------使用sort排序(文档中没有排序的字段也会打印出来,表示最小)‘
#pymongo.ASCENDING      1
#pymongo.DESCENDING     -1
#sort([[],()]),[],()均可
print ‘--------------age 升序‘
for r in collection_set01.find().sort([["age",pymongo.ASCENDING]]):print r
print ‘--------------age 降序‘
for r in collection_set01.find().sort([("age",-1)]):print r
print ‘--------------age升序,high升序‘
for r in collection_set01.find().sort((("age",pymongo.ASCENDING),("high",pymongo.ASCENDING))):print r
print ‘--------------age升序，high降序‘
for r in collection_set01.find(sort=[("age",pymongo.ASCENDING),("high",pymongo.ASCENDING)]):print r


#9.$all判断数组属性是否包含全部条件,注意与$in区别

print ‘-------------$all‘
for r in collection_set01.find({‘list‘:{‘$all‘:[2,3,4]}}):print r
print ‘-------------$in‘
for r in collection_set01.find({‘list‘:{‘$in‘:[2,3,4]}}):print r


#10.$size匹配数组属性元素数量
print ‘-------------$size‘
print ‘-------------size=3‘
for r in collection_set01.find({‘list‘:{‘$size‘:3}}):print r
print ‘-------------size=7‘
for r in collection_set01.find({‘list‘:{‘$size‘:7}}):print r

#11.$unset和$set相反表示移除文档属性
print ‘-------------------$unset‘
print ‘---before‘
for r in collection_set01.find({‘name‘:‘weijian‘}):print r
collection_set01.update({‘name‘:‘weijian‘},{‘$unset‘:{‘age‘:1}})
print ‘---after‘
for r in collection_set01.find({‘name‘:‘weijian‘}):print r


#输出结果
-------------查询测试-----------
-------------身高小于180:
<class ‘pymongo.cursor.Cursor‘>
{u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
{u‘high‘: 176, u‘comment‘: u‘use update_many‘, u‘age‘: -27, u‘_id‘: 0, u‘name‘: u‘zzzzz‘}
<type ‘dict‘>
use find_one: 173
use find_one: {u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
-------------查询特定键--------
-------------查询身高大于170,并只列出_id,high和age字段(使用列表形式_id默认打印出来,可以使用{}忽视_id):
{u‘high‘: 173, u‘age‘: 26, u‘_id‘: 2}
{u‘high‘: 180, u‘age‘: 29, u‘_id‘: 3}
{u‘high‘: 179, u‘age‘: 22, u‘_id‘: 5}
{u‘high‘: 176, u‘age‘: -27, u‘_id‘: 0}


--------------skip参数用法
{u‘high‘: 180, u‘age‘: 29, u‘_id‘: 3}
{u‘high‘: 179, u‘age‘: 22, u‘_id‘: 5}
{u‘high‘: 176, u‘age‘: -27, u‘_id‘: 0}
{u‘high‘: 180, u‘age‘: 29, u‘_id‘: 3}
{u‘high‘: 179, u‘age‘: 22, u‘_id‘: 5}
{u‘high‘: 176, u‘age‘: -27, u‘_id‘: 0}


--------------limit参数用法
{u‘high‘: 173, u‘age‘: 26, u‘_id‘: 2}


--------------用{}描述特定键
{u‘high‘: 173, u‘age‘: 26}
{u‘high‘: 180, u‘age‘: 29}
{u‘high‘: 179, u‘age‘: 22}
{u‘high‘: 176, u‘age‘: -27}
---------------------多条件查询
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
----------------IN
{u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
----------------count
4
----------------条件或
大于等于29或者小于23
{u‘high‘: 180, u‘comment‘: u‘use update_many‘, u‘age‘: 29, u‘_id‘: 3, u‘name‘: u‘wei‘}
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
{u‘high‘: 176, u‘comment‘: u‘use update_many‘, u‘age‘: -27, u‘_id‘: 0, u‘name‘: u‘zzzzz‘}
{u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
------------exists用法
age exists {u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
age exists {u‘high‘: 180, u‘comment‘: u‘use update_many‘, u‘age‘: 29, u‘_id‘: 3, u‘name‘: u‘wei‘}
age exists {u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
age exists {u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
age exists {u‘high‘: 176, u‘comment‘: u‘use update_many‘, u‘age‘: -27, u‘_id‘: 0, u‘name‘: u‘zzzzz‘}
age exists {u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
age exists {u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
age not exists {u‘comment‘: u‘after replace_one operation just exists comment(key)‘, u‘_id‘: 1}
正则表达式查询
{u‘high‘: 180, u‘comment‘: u‘use update_many‘, u‘age‘: 29, u‘_id‘: 3, u‘name‘: u‘wei‘}
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
{u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
--------------------使用sort排序(文档中没有排序的字段也会打印出来,表示最小)
--------------age 升序
{u‘comment‘: u‘after replace_one operation just exists comment(key)‘, u‘_id‘: 1}
{u‘high‘: 176, u‘comment‘: u‘use update_many‘, u‘age‘: -27, u‘_id‘: 0, u‘name‘: u‘zzzzz‘}
{u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
{u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
{u‘high‘: 180, u‘comment‘: u‘use update_many‘, u‘age‘: 29, u‘_id‘: 3, u‘name‘: u‘wei‘}
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
--------------age 降序
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
{u‘high‘: 180, u‘comment‘: u‘use update_many‘, u‘age‘: 29, u‘_id‘: 3, u‘name‘: u‘wei‘}
{u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
{u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
{u‘high‘: 176, u‘comment‘: u‘use update_many‘, u‘age‘: -27, u‘_id‘: 0, u‘name‘: u‘zzzzz‘}
{u‘comment‘: u‘after replace_one operation just exists comment(key)‘, u‘_id‘: 1}
--------------age升序,high升序
{u‘comment‘: u‘after replace_one operation just exists comment(key)‘, u‘_id‘: 1}
{u‘high‘: 176, u‘comment‘: u‘use update_many‘, u‘age‘: -27, u‘_id‘: 0, u‘name‘: u‘zzzzz‘}
{u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
{u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
{u‘high‘: 180, u‘comment‘: u‘use update_many‘, u‘age‘: 29, u‘_id‘: 3, u‘name‘: u‘wei‘}
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
--------------age升序，high降序
{u‘comment‘: u‘after replace_one operation just exists comment(key)‘, u‘_id‘: 1}
{u‘high‘: 176, u‘comment‘: u‘use update_many‘, u‘age‘: -27, u‘_id‘: 0, u‘name‘: u‘zzzzz‘}
{u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
{u‘high‘: 179, u‘comment‘: u‘use update_many‘, u‘age‘: 22, u‘_id‘: 5, u‘name‘: u‘zhangjian‘}
{u‘high‘: 173, u‘comment‘: u‘use update_many‘, u‘age‘: 26, u‘_id‘: 2, u‘name‘: u‘zhang‘}
{u‘high‘: 180, u‘comment‘: u‘use update_many‘, u‘age‘: 29, u‘_id‘: 3, u‘name‘: u‘wei‘}
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
-------------$all
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
-------------$in
{u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
-------------$size用法
-------------size=3
{u‘age‘: 19, u‘_id‘: 100, u‘list‘: [2, 3, 5], u‘name‘: u‘zwj‘}
-------------size=7
{u‘age‘: 19, u‘_id‘: 101, u‘list‘: [1, 2, 3, 4, 5, 6, 7], u‘name‘: u‘zwj‘}
-------------------$unset用法
---before
{u‘high‘: 158, u‘age‘: 30, u‘_id‘: 4, u‘name‘: u‘weijian‘}
---after
{u‘high‘: 158, u‘_id‘: 4, u‘name‘: u‘weijian‘}