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In this example, we use the official C # Driver to store and query spatial data (vectors) in MongoDB) read vector element space information and attribute tables, and write them to MongoDB. Read the shapefile file and convert the space information to
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MongoDB is an open-source, document-oriented NoSQL (not only SQL) database written using C + +, and one of the most popular NoSQL databases. NoSQL Introduction
NoSQL means "Not just SQL", is the
Considerations for creating geo-spatial indexesThe creation of the geospatial index failed with the following error message> Db.places.ensureIndex ({"loc": "2dsphere"}){"Createdcollectionautomatically": false,"Numindexesbefore": 1,"OK": 0,"ErrMsg": "
First, the latitude and longitude of the representation wayThe storage of latitude and longitude in MongoDB has its own set of specifications (mainly for the purpose of establishing a geospatial index on that field). There are two ways, namely
Basic concept basic features 1 rich data type 2 easy to expand 3 rich features 4 no sacrifice speed 5 Easy management scenario storage model concurrency control memory management disaster recovery 1 Backup 2 Repair MongoDB Transport Protocol MongoDB
March 25 MongoDB (taken from "Humongous") 1.4 release shortly after its founder Dwight Merriman (formerly DoubleClick Ceo/cto) announced 10gen--open source document database MongoDB behind the company, It will provide business training and
1, configure the Pom.xml, add the following 2 in the original Spring project. org.mongodb mongo-java-driver 3.2.2 org.springframework.data spring-data-mongodb 1.9.2.release2, Configuration Spring-data-mongo.xml 3. MongoDB
1. Lbs geo-Spatial indexAbout lbs related items, generally store the latitude and longitude coordinates of each location, if you want to query nearby sites, you need to set up an index to improve query efficiency. MongoDB establishes a geospatial
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