bson

I know certain commends need the hashmap / dictionary to be ordered, but does the actual BSON document in MongoDB matter and would the index still work? E.g. db.people.ensureIndex({LName:1, FName:1}); Would it work on both: {LName:"abc", FName:"def"}, {FName:"ghi", LName:"jkl"} ? Thanks The order of a document's properties does not affect indexing. You can see this for yourself by running this query: db.people.find({LName: "abc"}).explain() and then this query: db.people.find({LName: "jkl"}).explain() you should see that MongoDB will use the index in both cases (the cursor property should be

Is there a way to tell pymongo to use a custom encoder to convert python objects to BSON? Specifically I need to convert numpy arrays into BSON. I know I can manually ensure every numpy array gets converted to a native python array before sending it to pymongo. But this is repetitive and error-prone. I'd much rather have a way to set up my pymongo connection to do this automatically. You need to write a SONManipulator . From the docs : SONManipulator instances allow you to specify transformations to be applied automatically by PyMongo. from pymongo.son_manipulator import SONManipulator class

So BSON is JSON serialized right? {"hello": "world"} → "\x16\x00\x00\x00\x02hello\x00 \x06\x00\x00\x00world\x00\x00" But why is it called Binary Json? What does binary stands for? I always tend to associate binary with 10101010101. But the BSON serialization format above wasn't in 101010101010 form. Could someone explain for me what the Binary here means so I understand why it's called Binary JSON? It's binary as opposed to text. Whereas JSON is human-readable text, BSON is binary data (just bytes). You could write it out as 1001010 etc, but it's more common to show each byte at a time (so

In mongodb there are documents in the following structure: { "_id" : ObjectId("52d017d4b60fb046cdaf4851"), "dates" : [ 1399518702000, 1399126333000, 1399209192000, 1399027545000 ], "dress_number" : "4", "name" : "J. Evans", "numbers" : [ "5982", "5983", "5984", "5985" ] } Is it possible unwind data from multiple arrays and get only paired elements from arrays: { "dates": "1399518702000", "numbers": "5982" }, { "dates": "1399126333000", "numbers": "5983" }, { "dates": "1399209192000", "numbers": "5984" }, { "dates": "1399027545000", "numbers": "5985" } From version 3.2 you can do it with

I'm trying to import json_util in my environment file: from bson import json_util I get this import error: no module named bson . I tried to pip install and uninstall pymongo and bson - but nothing seemed to help. I found out that the bson package is included in pymongo so I installed it explicitly and then I received an EPOCH_AWARE import error. Currently, only pymongo is installed. It works when I force the virtual environment by using this line: #subprocess.Popen(['/home/.virtualenvs/simple_worker/bin/python', fileName]) But when I try to run it through the os like this: os.system('PYTHON

原创文章，转载请注明： 转载自 勤奋的小青蛙 本文链接地址: 【翻译】使用Golang+MongoDB构建微服务 翻译来源： http://goinbigdata.com/how-to-build-microservice-with-mongodb-in-golang/ 参考链接： mgo驱动官网 现在golang成为热门的微服务(RESTFul API)开发语言之一。通常，这些微服务系统采用了MongoDB作为数据库。在这篇博客里，我们将构建一个简单的图书管理微服务，采用Golang + MongoDB来完成该微服务。我们将使用 mgo 来完成Golang与MongoDB的交互。 MongoDB MongoDB简单，高可用性，并且是文档类型的数据库，也就是我们常说的 NoSQL 数据库。相比 SQL 型的数据库，它的优势有： mongodb的文档对象结构对应了诸多编程语言的数据结构； 组合式的文档结构减少了昂贵的join连接开销； 文档动态支持各种各样数据类型的结构，一个集合中可以存在各种各样不同数据类型字段的文档。 什么是文档（document） 文档只是一个由字段和值对组成的数据结构。字段的值可能包括其他文档，数组和文档数组。MongoDB文档类似于JSON对象，每个文档都作为一个记录存储在MongoDB集合中。例如，一本书可以表示为以下文档（json）： { "isbn":

I have many immutable value type classes, for example EmailAddress , which ensure any non null instance is valid. I would like to control the serialization of these types of objects to be just the standard string representation ( "123@abc.com" ) when persisted using MongoDB C# Driver. I have tried implementing the IBsonSerilizer however it will only allow for objects or arrays at the root level. I was able to implement proper Json Serilization with Json.NET, is there a different approach I should be taking? I assume you mean an EmailAddress class something like this: [BsonSerializer(typeof