小编sty*_*ane的帖子

我正在使用MongoDB shell获取一些结果,有序.这是一个采样器,

{
"_id" : "32022",
"topics" : [
    {
        "weight" : 281.58551703724993,
        "words" : "some words"
    },
    {
        "weight" : 286.6695125796183,
        "words" : "some more words"
    },
    {
        "weight" : 289.8354232846977,
        "words" : "wowz even more wordz"
    },
    {
        "weight" : 305.70093587160807,
        "words" : "WORDZ"
    }]
}

我想得到的是,相同的结构,但订购 "topics" : []

{
"_id" : "32022",
"topics" : [
    {
        "weight" : 305.70093587160807,
        "words" : "WORDZ"
    },
    {
        "weight" : 289.8354232846977,
        "words" : "wowz even more wordz"
    },
    {
        "weight" …

我目前正在转换 pymongo 3.2+ 驱动程序的更高级别 api。该代码可以在 pymongo 2+ 到 3.1 中运行。我正在尝试检索管理数据库的 replSetGetStatus 。

据我了解 pymongo 3.2+ 不允许查询管理数据库。我用谷歌搜索了一下，并没有发现关于这个主题的信息。有提示表明我需要使用 db.runCommand() 方法，但我不确定如何执行此操作。

我的旧 pymongo 2+ - 3.1 代码。

#connection = MongoClient
status = connection.admin['$cmd'].find_one({'replSetGetStatus': 1})

我将如何将该行代码转换为与 pymongo 3.2+ 一起使用？

我有以下预测：

db.tickets.aggregate([
{
  $match: {
    "satisfaction_rating.id": {"$exists": true}
  }
},
{
  $project: {
    "ticketId": "$id",
    "employee": "$assignee.name",
    "subject": "$subject",
    "memberId": {
      "$filter": {
         "input": "$custom_fields",
         "as": "field",
         "cond": {"$eq": ["$$field.id", 24685851]}
       }
    },
    "requester": "$requester.name",
    "created": "$created_at",
    "solved": "$metric_set.solved_at",
    "resolutionTimeInHours": {"$trunc": {"$divide": ["$metric_set.full_resolution_time_in_minutes.business", 60]}},
    "score": "$satisfaction_rating.score",
    "comment": "$satisfaction_rating.comment"
  }
},
{
  $out: "satisfaction"
}]);

$ filter返回一个数组。我想要做的是拾取第一个元素并获得一个属性，该属性然后应绑定到memberId而不是一个元素的数组。

我环顾了一段时间，但没有找到合适的解决方案。谁能给我一个提示？

我有一个包含站点事件集合的MongoDB数据库。这些文档如下所示：

{ 
    "_id" : ObjectId("5785bb02eac0636f1dc07023"), 
    "referrer" : "https://example.com",
    "_t" : ISODate("2016-07-12T18:10:17Z"),
    "_p" : "ucd7+hvjpacuhtgbq1caps4rqepvwzuoxm=", 
    "_n" : "visited site", 
    "km screen resolution" : "1680x1050" 
},

{ 
    "_id" : ObjectId("5785bb02eac0636f1dc07047"), 
    "url" : "https://www.example.com/", 
    "referrer" : "Direct", 
    "_t" : ISODate("2016-07-12T18:10:49Z"), 
    "_p" : "txt6t1siuingcgo483aabmses2et5uqk0=", 
    "_n" : "visited site", 
    "km screen resolution" : "1366x768" 
},

{ 
    "_id" : ObjectId("5785bb02eac0636f1dc07053"), 
    "url" : "https://www.example.com/", 
    "referrer" : "Direct", 
    "_t" : ISODate("2016-07-12T18:10:56Z"), 
    "_p" : "gcama1az5jxa74wa6o9r4v/3k+zulciqiu=", 
    "_n" : "visited site", 
    "km screen resolution" : "1366x768" 
}

我想统计日期范围内的不重复人员。在SQL中

SELECT COUNT(DISTINCT(`_p`)) FROM …

此代码检查数字组合是否产生吸血鬼数字,但如果x = 2947051且y = 8469153,则返回错误的True.

def vampire_test(x, y):
    vamp = (list(str(x) + str(y)))
    prod = x*y
    vamp_check = list(str(prod))

    print vamp, vamp_check

    if '-' in vamp and '-' not in vamp_check:
        return False
    else:
        check = cmp(vamp.sort(),vamp_check.sort())
        if check == 0 and len(vamp) == len(vamp_check):
            return True
        else:
            return False

问题是什么？如何改进我已编写的代码？

我想允许用户仅支持/关闭投票一次,所以我想检查用户是否已经投票.但问题是我的函数总是说用户已经投票,而MongoDB中没有单个userId投票数组.这是功能:

Template.postItem.events({
    'click': function() {
        Session.set("selected_post", this._id);
    },

    'click a.yes': function(event) {
        if (Meteor.user()) {
            event.preventDefault();
            if ($.inArray(Meteor.userId(), Posts.voted)) {
                console.log('User already voted.');
            } else {
                var postId = Session.get('selected_post');
                console.log("voting" + Meteor.userId());
                Posts.update(postId, {$push: {voted: Meteor.userId()}});
                Posts.update(postId, {$inc: {'score' : 1}});
                }
            }
        }, 

我有一个名为"行"的词典列表.但是,此列表包含一些空值的字典(标记为"无").如果在名为'lat'的键中找到"None",我怎么能写一个遍历每一行的for循环并删除整行？

这是我的词典列表("行").我想编写一个删除第一行的for循环,因为'lat'值是'None'.任何帮助将不胜感激!

[{'created_at': None, 'userid': None, 'long': None, 'tweetid': None, 'timestamp': None, 'lat': None},
 {'created_at': 'Mon May 04 04:35:34 +0000 2015', 'userid': '113503286', 'long': '-87.624387', 'tweetid': '595084326489956352', 'timestamp': '1430714134224', 'lat': '41.852653'}, 
 {'created_at': 'Mon May 04 04:35:46 +0000 2015', 'userid': '2421024865', 'long': '-87.629798', 'tweetid': '595084376632729600', 'timestamp': '1430714146179', 'lat': '41.878114'}]

如何使用python从HTML中删除"表"？

我有这样的情况:

paragraph = '''
<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit. Quidem molestiae consequuntur officiis corporis sint.<br /><br />
<table>
<tr>
<td>
    text title
</td>
<td>
    text title 2
</td>
</tr>
</table>
<p> lorem ipsum</p>
'''

如何使用python删除上面的表结构内容？我希望产生的输出如下:

paragraph = '''
<p>Lorem ipsum dolor sit amet, consectetur adipisicing elit. Quidem molestiae consequuntur officiis corporis sint.<br /><br />
<p> lorem ipsum</p>
'''

我在 mongoDB 中有一个类似于下面的大数据集

我想在 MongoDB 中运行一个聚合，它相当于这个 SQL：

SELECT SUM(cores) from machines 
WHERE idc='AMS' AND cluster='1' AND type='Physical';

我如何在 MongoDB 中进行此操作？

[
    {
        "_id" : "55d5dc40281077b6d8af1bfa",
        "hostname" : "x",
        "domain" : "domain",
        "description" : "VMWare ESXi 5",
        "cluster" : "1",
        "type" : "Physical",
        "os" : "EXSi",
        "idc" : "AMS",
        "environment" : "DR",
        "deviceclass" : "host",
        "cores" : "64",
        "memory" : "256",
        "mounts" : [ ],
        "roles" : [
                "ESX-HOST"
        ],
        "ipset" : {
                "backnet" : "1"
        },
        "frontnet" : [ ], …

我尝试在MongoDB中计算不同的值,但我没有得到我期望的结果.

以下是数据示例:

{
        "_id" : ObjectId("55d354b0d5cec8aad571b8fe"),
        "version" : "0.4",
        "scan-time" : {
                "start" : 1439913109,
                "end" : 1439913136
        },
        "services" : [
                {
                        "service-type" : "SV1",
                        "service-version" : "V1",
                        "location" : {
                                "ipv4-address" : "192.168.1.1",
                                "protocol" : "tcp"
                        },
                        "classification-method" : "probed"
                },
                {
                        "service-type" : "SV1",
                        "service-version" : "V2",
                        "location" : {
                                "ipv4-address" : "192.168.1.2",
                                "protocol" : "tcp"
                        },
                        "classification-method" : "probed"
                },
                {
                        "location" : {
                                "ipv4-address" : "192.168.1.3",
                                "protocol" : "tcp"
                        },
                        "classification-method" : "probed",
                        "service-type" : …