mongodb big data example

was around $5 million. In recent years, with the development of technology this cost can be reduced to about $500,000, while the current 1PB data in the cloud for a year the lowest storage cost of 2.5 million to 3 million yuan. Big data has become a big burden for companies before they can generate value, and

MongoDB Collections (collection) can be viewed as tables of relational databases, and document objects (documents) can be viewed as a record of relational databases. But the two are not exactly equal. The structure of the table is fixed, the MongoDB set does not have this constraint, and the document object that is stored in the collection can even embed the subdocument, or "child collections". They can eve

Label:is a simple gadget, but there is a big thing, is NoSQL mongodb (file size:130M), you want to download a mongdodb, go to the official website to download　　After installation, execute in mongodb command line directoryMongod--dbpath=c:\mongodbinfo\--port 27017This command will create a new directory called Mongodinfo in the C drive to store the

database is such a set when inserting data. If it does not exist, it will be automatically created, so we do not need to create our own set and define so many fields, the data type, length, whether the field can be empty, unique key, and so on are very convenient and practical. 3. Database Multiple documents in MongoDB form a set, so multiple sets form a databas

Author: http://book.douban.com/review/5020205/ meat Xiaoqiang One day two years ago, when I was still in college, I strolled around in a small bookstore in the school and found the big talk design model. I was immediately attracted to the design. Program The Design book can also be so interesting, so I remember the name of the interesting and easy-to-understand author, Cheng Jie.Later, on the blog of Wu fan's eldest brother, he finally asked for a ne

We are now talking about Internet +, big data, this is very good things, but when we talk, I think still want to learn, to do, because only to do to become a reality. Big data isn't popping up today, and someone has done it a long time ago, for example, the TriZ theory that

. Spring data Repository Style Spring Data provides a Repository abstraction that greatly reduces the similarity of duplicate code in the data access layer. Basic DAO will be implemented, Find,findall, FindByID, save, Delete,update and other methods, and the code logic is basically consistent. Spring data provides a s

Big Data graph database: Data sharding and Data graph database This is excerpted from Chapter 14 "Big Data day: Architecture and algorithms". The books are listed in In a distributed computing environment, the first problem fac

subset of documents from the database. However, for the "entity" model of Spring Data MongoDB, You have to retrieve the entire document in each query. It's even more crazy to load without DBRef delay. If you reference other documents through DBRefs, Spring Data MongoDB will get the entire document instead of the docum

When it comes to blockchain storage, it's easy to think of its chained storage structure, but the blockchain has evolved from Bitcoin to today's most popular EOS, and technology has been evolving for 10 of years. The current EOS storage, in addition to confirming the chained storage of the structure, has made a great progress in state storage, especially after the introduction of MongoDB plugin, which can be used to hook up the limited State Library t

on the local machine, and type: show dbs Next, use the test Library as an example, and type: use test Use the insertOne function provided by MongoDB to insert three data entries to the test database: db.collection.insertOne({"a": 3})db.collection.insertOne({"c": 4})db.collection.insertOne({"f": 5}) Call the find function to view the inserted

restrictions on the naming of MongoDB databases, and there can be no spaces or null characters. Also cannot contain special symbols, should all lowercase. Up to 64 bytes, it is very important, the database name will eventually become the file in the system, you can open data/db to see, there will be the same name as your database file. They are the data in the d

format. For example, to query a piece of data, you need to write it like this:db.steven.find({"name":"steven"})To update a piece of data, write as follows:db.steven.update({"name":"steven"},{$set:{"name":"jianying"}})To delete a piece of data, write as follows:db.steven.remove({"name":"steven"})In short, the RPC commu

In this post, my experience and understanding of big data-related technologies has focused on the following aspects: NOSQL, clustering, data mining, machine learning, cloud computing, big data, and Hadoop and Spark.Mainly are some of the basic concept of clarifying things, a

microservices architectures, and the spring BOOT+MONGODB solution is one of the most optimal solutions for data governance under the MicroServices architecture.Of course, if we are unfamiliar with the microservices architecture, Spring Boot, and MongoDB, we may need to go a lot of detours. The wrong technical solution will be the late micro-service landed very