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Scala for Data Science

You're reading from   Scala for Data Science Leverage the power of Scala with different tools to build scalable, robust data science applications

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785281372
Length 416 pages
Edition 1st Edition
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Author (1):
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Pascal Bugnion Pascal Bugnion
Author Profile Icon Pascal Bugnion
Pascal Bugnion
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Table of Contents (17) Chapters Close

Preface 1. Scala and Data Science FREE CHAPTER 2. Manipulating Data with Breeze 3. Plotting with breeze-viz 4. Parallel Collections and Futures 5. Scala and SQL through JDBC 6. Slick – A Functional Interface for SQL 7. Web APIs 8. Scala and MongoDB 9. Concurrency with Akka 10. Distributed Batch Processing with Spark 11. Spark SQL and DataFrames 12. Distributed Machine Learning with MLlib 13. Web APIs with Play 14. Visualization with D3 and the Play Framework A. Pattern Matching and Extractors Index

Connecting to MongoDB with Casbah


The official MongoDB driver for Scala is called Casbah. Rather than a fully-fledged driver, Casbah wraps the Java Mongo driver, providing a more functional interface. There are other MongoDB drivers for Scala, which we will discuss briefly at the end of this chapter. For now, we will stick to Casbah.

Let's start by adding Casbah to our build.sbt file:

scalaVersion := "2.11.7"

libraryDependencies += "org.mongodb" %% "casbah" % "3.0.0"

Casbah also expects slf4j bindings (a Scala logging framework) to be available, so let's also add slf4j-nop:

libraryDependencies += "org.slf4j" % "slf4j-nop" % "1.7.12"

We can now start an SBT console and import Casbah in the Scala shell:

$ sbt console
scala> import com.mongodb.casbah.Imports._
import com.mongodb.casbah.Imports._

scala> val client = MongoClient()
client: com.mongodb.casbah.MongoClient = com.mongodb.casbah.MongoClient@4ac17318

This connects to a MongoDB server on the default host (localhost) and default port...

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