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"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 ...

1: A simple introduction MongoDB is a distributed document database, supporting the master-slave structure of similar closed-type database, the document is stored in binary http://www.aliyun.com/zixun/aggregation/16702.html ">json form", No locks, no transactions, indexed. 2: Installation Steps Step one: Download the assembly http://www.mongodb.org/downloads Part II: Extract and extract the relevant bin directory to C ...

At the beginning of September, rhttp://www.aliyun.com/zixun/aggregation/13461.html ">mongodb officially released the revised version, which means The language of the numerical calculation can also be in line with the NoSQL product, but in view of my side does not have the company really to use the Union of R and MongoDB, so in the efficiency question, we also dare not take lightly, therefore did one such test. The test environment is 8 cores, 64-bit machines. be used for ...

2010 should be remembered because SQL will die this year. This year, the relational database is on the verge of falling, and this year developers found they no longer needed long, laborious columns or tables to store data. 2010 will be the starting year for document databases. Although this momentum has lasted for many years, it is now the era of more and broader document-based databases. From cloud-based Amazon to Google, a large number of open source tools, and the ensuing CouchDB and MongoDB. So what is MongoD ...

"51CTO exclusive feature" 2010 should be remembered, because the SQL will die in the year. This year's relational database is on the go, and this year developers find that they don't need long, laborious construction columns or tables to store data. 2010 will be the starting year for a document database. Although the momentum has been going on for years, now is the age when more and more extensive document databases appear. From cloud-based Amazon to Google, a number of open-source tools, along with the birth of Couchdb and MongoDB. So what ...

MongoDB is a product between relational database and non relational database, and is the most powerful and relational database in the relational database. The data structure he supports is very loose and is a JSON-like Bjson format, so you can store more complex data types. The biggest feature of MONGO is that the query language he supports is very powerful, and its syntax is somewhat similar to an object-oriented query language, which can almost achieve most of the functions of a single table query like relational database, and also supports indexing data. Just released MongoDB 1 ...

Recent discussions about http://www.aliyun.com/zixun/aggregation/22.html "> The future of the relational database have been growing, and 51cto.com has previously reported on whether the end of the relational database has arrived" and The fundamental problem analysis of relational database is widely concerned. 　　Today we introduce a new document-type database MONGO. MONGO is a high-performance, open source, modeless document database, it's in many scenarios ...

"51CTO classic" I like MongoDB mainly because it is so simple and natural to use it in dynamic languages. So far, I've used it in two projects (Encode and SPARRW), although I'm very happy with the choice, but there are some problems I haven't noticed, and these problems have kept me scratching my scalp for hours. If you have more than one machine, and then allocate a few more machines for the database, then some problems can be solved, but my project is running on a single (virtual) server on the low flow w ...

First download Mongo-hadoop adapter git clone https://github.com/mongodb/mongo-hadoop.git git checkout release-1.0 Then go into the Mongo-hadoop directory and find the BUILD.SBT to modify hadoop920.html ">release in Thisbuild as shown below ...

With the rise of internet web2.0 websites, the relational database has become a very hot new field, the development of the non relational database products is very rapid. 　　But the traditional relational database in dealing with web2.0 website, especially the super large-scale and high concurrent SNS type web2.0 pure dynamic website already appeared to be powerless, has exposed many insurmountable problems, for example: 1, high configured--to the database higher concurrent reads and writes the demand WEB2.0 website to be based on user personalized information to generate real-time dynamic ...