I wonder what are the main differences between rmongodb
and RMongo
packages for connecting R
with MongoDB. What are the advantages and disadvantages of these two packages?
The MongoDB module exports MongoClient , and that's what we'll use to connect to a MongoDB database. We can use an instance of MongoClient to connect to a cluster, access the database in that cluster, and close the connection to that cluster.
There is no need for closing the connection explicitly. This way the application avoids creating and closing connections (which is an expensive operation).
MongoDB Server stores data using the BSON format which supports some additional data types that are not available using the JSON format.
library(rmongodb)
your connection details will likely differ from these defaults
host <- "someone.com:10200"
username <- "myuser"
password <- "mypassword"
db <- "testdatabase"
connect to mongo and then create function has the following signature
mongo <- mongo.create(host=host , db=db, username=username, password=password)
Also
> library("RMongo")
> mongo < - mongoDbConnect("db")
RMango:
MongoDB Database interface for R. The interface is provided via Java calls to the mongo-java-driver.rmongodb:
This R package provides an interface to the NoSQL MongoDB database using the MongoDB C-driver.
While RMongo
package is very straight-forward and user-friendly, it did take me a while to figure out how to specify a query with rmongodb
package
Supported Functionality by rmongodb
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