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Pentaho Data Integration Cookbook - Second Edition

You're reading from   Pentaho Data Integration Cookbook - Second Edition The premier open source ETL tool is at your command with this recipe-packed cookbook. Learn to use data sources in Kettle, avoid pitfalls, and dig out the advanced features of Pentaho Data Integration the easy way.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781783280674
Length 462 pages
Edition 2nd Edition
Languages
Tools
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Table of Contents (21) Chapters Close

Pentaho Data Integration Cookbook Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Working with Databases FREE CHAPTER 2. Reading and Writing Files 3. Working with Big Data and Cloud Sources 4. Manipulating XML Structures 5. File Management 6. Looking for Data 7. Understanding and Optimizing Data Flows 8. Executing and Re-using Jobs and Transformations 9. Integrating Kettle and the Pentaho Suite 10. Getting the Most Out of Kettle 11. Utilizing Visualization Tools in Kettle 12. Data Analytics Data Structures References Index

Getting data from MongoDB


Moving data out of MongoDB is a tad trickier than putting data into the NoSQL database. Fortunately, we are able to filter out data to produce a smaller subset of a source document store.

Getting ready

We will be pulling a subset of data from the batting dataset loaded from the Lahman's Baseball Database in the recipe, Loading data into MongoDB. It will also be beneficial to read more on MongoDB's data model. There is a good overview provided by the MongoDB website at http://docs.mongodb.org/manual/core/data-modeling/.

How to do it...

  1. Open a new transformation.

  2. Under the Big Data category, select the MongoDb input step and bring it over to the canvas.

  3. Open the step and add the MongoDB instance connection information to the Host name or IP address and Port.

  4. Enter baseball for the Database field and batting for the Collection field.

  5. For the Query expression (JSON) field, enter {"$query" : {"G_batting" : {"$gte" : 10 }}, "$orderby" : {"playerID" : 1, "yearID": 1} }. This...

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