Writing and Querying MapReduce Views in CouchDB

You'll get step-by-step instructions and lots of sample code to create and explore several MapReduce views through the course of the book, using an example database you construct.

Writing and Querying MapReduce Views in CouchDB

If you want to use CouchDB to support real-world applications, you'll need to create MapReduce views that let you query this document-oriented database for meaningful data. With this short and concise ebook, you'll learn how to create a variety of MapReduce views to help you query and aggregate data in CouchDB’s large, distributed datasets. You'll get step-by-step instructions and lots of sample code to create and explore several MapReduce views through the course of the book, using an example database you construct. To work with these different views, you’ll learn how to use the Futon web administration console and the cURL command line tool that come with CouchDB. Learn how the Map and Reduce steps work independently and together to index your data Use the example database to create several temporary views based on different criteria Discover the uses of Map and Reduce JavaScript functions Convert your temporary views to permanent views within a design document Learn several options for querying the data within your views Limit the number of results returned, skip some results, or reverse the order of the output Group your results by exact keys or by parts of keys Bradley Holt, co-founder of the creative services firm Found Line, is a web developer and entrepreneur ten years of PHP and MySQL experience. He began using CouchDB before the release of version 1.0. Bradley is an active member of the PHP community, and can be reached at bradley-holt.com.

Beginning CouchDB

See map/reduce concept querying, 278, 279 ping command, 217 plus (+) icon (
Futon), 63 POST requests (HTTP), 50,284 fetching documents in bulk, 229–32,
275 writing documents in bulk, 232–35 purging old document revisions. ...
systems), 107 reduce function, 125, See also map function in CouchApp views,
178 CouchDB API and, 135–36 creating, 126 creating in Futon, 127–35 SQL
queries ...

Beginning CouchDB

The new world of cloud computing needs data storage. CouchDB is the scalable, portable, simple database engine that is helping open source cloud architects put their data stores onto a firm foundation. Beginning CouchDB provides the tools to begin using this very powerful database engine without having to pay license fees for the software, or worry about administrator's certifications or vast hardware requirements. This book teaches the fundamentals of one of the most powerful database engines ever created for the price of a good lunch. After reading this book and working through the examples, you'll be able to write your own applications for CouchDB quickly and easily. In-depth, non-intimidating guide to CouchDB and how it differs from similar offerings such as SimpleDB and BigTable, and also how it differs from traditional relational and object-oriented databases such as Oracle, SQL Server, and MySQL. Detailed explanation of how CouchDB works, its suitability for use in distributed environments, the role of Erlang, and other technical topics in a manner that does not obfuscate methods or results. JavaScript is extremely popular as a development language for CouchDB. No Erlang is required, but a little bit can't hurt either. A tutorial-oriented approach to teaching readers how to use CouchDB, featuring many code examples and listings, as well as screenshots where relevant.

Functional and Constraint Logic Programming

Through CouchDB's document attachment mechanism, the original metadata
format can be preserved, and primary data such as language recordings,
transcriptions, ... CouchDB is written in Erlang. ... 3.2 Map-Reduce Framework
Queries in CouchDB are views, which are computed following a map-reduce
framework [4].

Functional and Constraint Logic Programming

This book constitutes the refereed conference proceedings of the 20th International Workshop on Functional and Constraint Logic Programming, WFLP 2011, held in Odense, Denmark, in July 2011 as Part of the 13th International Symposium on Principles and Practice of Declarative Programming (PPDP 2011), the 22st International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2011), and the 4th International Workshop on Approaches and Applications of Inductive Programming (AAIP 2011). From the 10 papers submitted, 9 were accepted for presentation the proceeding. The papers cover current research in all areas of functional and logic programming as well as the integration of constraint logic and object-oriented programming, and term rewriting.

Planning for Big Data

CouchDB queries are views, which are themselves documents in the database
that specify searches. Views can be very complex, and can use a built-in
mapreduce facility to process and summarize results. Similarly, MongoDB ... Now
, let's make it more complex: you're writing an ecommerce application, and you'd
like to access all the purchases that a given customer has made. The solution is
similar: ...

Planning for Big Data

In an age where everything is measurable, understanding big data is an essential. From creating new data-driven products through to increasing operational efficiency, big data has the potential to make your organization both more competitive and more innovative. As this emerging field transitions from the bleeding edge to enterprise infrastructure, it's vital to understand not only the technologies involved, but the organizational and cultural demands of being data-driven. Written by O'Reilly Radar's experts on big data, this anthology describes: The broad industry changes heralded by the big data era What big data is, what it means to your business, and how to start solving data problems The software that makes up the Hadoop big data stack, and the major enterprise vendors' Hadoop solutions The landscape of NoSQL databases and their relative merits How visualization plays an important part in data work

Deployment of a Tool for Measuring Freeway Safety Performance

3.1.2 CouchDB views CouchDB has a distinct version of Map - Reduce that it
calls “ views ” . ... Relational databases like PostgreSQL allow the analyst to write
exploratory queries , and each of these queries tries to leverage whatever indices
 ...

Deployment of a Tool for Measuring Freeway Safety Performance


CouchDB

In this guide, developers explain how to work with CouchDB, using clear and practical scenarios.

CouchDB

This is the only guide to CouchDB, an innovative, relatively simple, and highly praised database for handling routine document-based information. Apache CouchDB is a new "document-oriented" database that offers users an easier alternative to complex relational databases. Written by three of the core developers of CouchDB, this book provides web developers and other users with a step-by-step guide to the basics of storage and manipulation for document-based information such as contacts, invoices, and receipts.