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Scala for Data Science

You're reading from  Scala for Data Science

Product type Book
Published in Jan 2016
Publisher
ISBN-13 9781785281372
Pages 416 pages
Edition 1st Edition
Languages
Author (1):
Pascal Bugnion Pascal Bugnion
Profile icon Pascal Bugnion

Table of Contents (22) Chapters

Scala for Data Science
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Scala and Data Science 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 Pattern Matching and Extractors Index

Complex queries


We now know how to convert DBObject instances to custom Scala classes. In this section, you will learn how to construct queries that only return a subset of the documents in the collection.

In the previous section, you learned to retrieve all the documents in a collection as follows:

scala> val objs = collection.find().toList
List[DBObject] = List({ "_id" : { "$oid" : "56365cec46f9534fae8ffd7f"} ,...

The collection.find() method returns an iterator over all the documents in the collection. By calling .toList on this iterator, we materialize it to a list.

We can customize which documents are returned by passing a query document to the .find method. For instance, we can retrieve documents for a specific login name:

scala> val query = DBObject("login" -> "mojombo")
query: DBObject = { "login" : "mojombo"}

scala> val objs = collection.find(query).toList
List[DBObject] = List({ "_id" : { "$oid" : "562e922546f953739c43df02"} , "login" : "mojombo",...

MongoDB queries...

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