Bradley Holt – författare

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.

A practical guide to web developers who need to scale their CouchDB database instances. The basic concepts behind CouchDB's scalability (i.e. its distributed shared nothing architecture) will be covered as well as: * Replicating using both Futon and CouchDB's RESTful API * Continuous replication * Conflict resolution * Load balancing * Clustering with CouchDB Lounge

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 dataUse the example database to create several temporary views based on different criteriaDiscover the uses of Map and Reduce JavaScript functionsConvert your temporary views to permanent views within a design documentLearn several options for querying the data within your viewsLimit the number of results returned, skip some results, or reverse the order of the outputGroup 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.

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 dataUse the example database to create several temporary views based on different criteriaDiscover the uses of Map and Reduce JavaScript functionsConvert your temporary views to permanent views within a design documentLearn several options for querying the data within your viewsLimit the number of results returned, skip some results, or reverse the order of the outputGroup 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.

This practical guide offers a short course on scaling CouchDB to meet the capacity needs of your distributed application. Through a series of scenario-based examples, this book lets you explore several methods for creating a system that can accommodate growth and meet expected demand. In the process, you learn about several tools that can help you with replication, load balancing, clustering, and load testing and monitoring.

Apply performance tips for tuning your databaseReplicate data, using Futon and CouchDB’s RESTful interfaceDistribute CouchDB’s workload through load balancingLearn options for creating a cluster of CouchDB nodes, including BigCouch, Lounge, and PillowConduct distributed load testing with Tsung