How To Search In Mongodb

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How to use HTML5 and MongoDB to create a location-aware Web program

In our daily life, we are inseparable from the application of position recognition class. Apps like Foursquare and Facebook help us share our current location (or the sights we're visiting) with our family and friends. Apps like Google Local help us find out what services or businesses we need around our current location. So, if we need to find a café that's closest to us, we can get a quick suggestion via Google Local and start right away. This not only greatly facilitates the daily life, ...

MongoDB Alliance Cloudera wants to conquer big data market

MongoDB and Cloudera, respectively, are heavyweight companies in the NoSQL and Hadoop markets.   Recently, two companies have proposed to share marketing and sales channels, claiming that there is only one purpose: to provide customers with large data solutions to eliminate customer concerns. MongoDB is a successful database supplier in the NoSQL market, and Cloudera is also a leading company in the Hadoop market, and two companies recognize that customers are still confused about big data, and if they can remove these concerns for customers, provide customers with a complete ...

10 insights into the new Era application design and MongoDB

Serendip is a social music service, used as a http://www.aliyun.com/zixun/aggregation/10585.html "> Music sharing" between friends. Based on the "people to clustering" this reason, users have a great chance to find their favorite music friends. Serendip is built on AWS, using a stack that includes Scala (and some Java), Akka (for concurrency), play framework (for Web and API front-end ...).

A thorough understanding of MongoDB from 10 aspects

Serendip is a social music service, used as a http://www.aliyun.com/zixun/aggregation/10585.html "> Music sharing" between friends. Based on the "people to clustering" this reason, users have a great chance to find their favorite music friends. Serendip is built on AWS, using a stack that includes Scala (and some Java), Akka (for concurrency), play framework (for Web and API front-end ...).

One to two years ahead of MongoDB. Build Enterprise-Class NoSQL database

Over the past few years, NoSQL database with its easy to expand, high-performance, high availability, data model flexibility and other features attracted a large number of emerging internet companies, including the domestic Taobao, Sina, Jingdong Mall, 360, Sogou, etc. have been in the local attempt to NoSQL solutions. Guangzhou giant FIR Database is a focus on the new NoSQL distributed database research and development of the start-up company, has now won the first round of angel investment, the core product is sequoiadb. The founding team members of the giant FIR database are from IBM North America Laboratories, and have long been engaged in the relational database D ...

The acquisition and loss of MongoDB

Http://www.aliyun.com/zixun/aggregation/13461.html ">mongodb also has many areas to improve, such as global write locks (now just a database-level write lock).   This article focuses on how to scale to cope with large data, where the volume of large data is 100GB. It will be more meaningful when you look at the implementation of the underlying storage. Basically, MongoDB consists of a bunch of Bson document MMAP (Memory-mapped) lists, which ...

MongoDB v1.8 publishes a database based on distributed file storage

MongoDB is a database based on distributed file storage. Written by the C + + language. Designed to provide scalable, high-performance data storage solutions for Web applications. Products between relational and non relational databases are among the most functionally rich and most like relational databases in relational databases. The data structure he supports is very loose and is a JSON-like Bjson format, so you can store more complex data types. MONGO the most characteristic is that he supports the query language is very powerful, its syntax is somewhat similar to the object-oriented query language, can almost actually ...

Using MONGO Connector and Elasticsearch to implement fuzzy matching

"Editor's note" This blog author Luke Lovett is the MongoDB company's Java engineer, he demonstrated MONGO connector after 2 years of development after the metamorphosis-complete connector at both ends of the synchronization update. , Luke also shows how to implement fuzzy matching by Elasticsearch. The following is a translation: the introduction assumes that you are running MongoDB. Great, now that you have an exact match for all the queries that are based on the database. Now, imagine that you're building a text search work in your application ...

12 free and open source NoSQL database Introduction

Naresh Kumar, a software engineer and enthusiastic blogger, has great interest in programming and new things, and is happy to share technical research results with other developers and programmers.   Recently, Naresh wrote about 12 well-known free, open source NoSQL databases, and analyzed the characteristics of these databases. Now that the NoSQL database is becoming more and more popular, I'm here to summarize some of the great, free and open source NoSQL databases. In these databases, MongoDB the top, with considerable ...

Splunk launches hunk 6.1 for Hadoop and NoSQL Data Stores

Splunk recently announced the launch of version 6.1 Hunk:splunk Analytics for Hadoop and NoSQL data Stores for Hadoop and NoSQL data Stores. Hunk 6.1 makes it quicker and easier to convert raw unstructured data from Hadoop and NoSQL data storage into business insights. Hunk's upgrade report significantly shortens reporting time, while interactive dashboards provide rich self-help analysis without the need to ...

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