PUBLIC MARKS from solrac with tag apache

Leran how to develop applications within the Hadoop infrastructure. This article explores the Hadoop APIs and data flow and demonstrates their use with a simple mapper and reducer application.

This article explores the Hadoop framework, including its fundamental elements, such as the Hadoop file system (HDFS), and node types that are commonly used. Learn how to install and configure a single-node Hadoop cluster, and delve into the MapReduce application. Finally, discover ways to monitor and manage Hadoop using its core Web interfaces.

Get introduced to Apache Click, a Java EE Web application framework that enables the creation of Web applications without using MVC patterns or JSP. This article provides examples of displaying a simple Web page and creating a Web form that submits data that is displayed on a different Web page.

Recently, however, the popular open source search library, Apache Lucene, and the powerful Lucene-powered search server, Apache Solr, have added spatial capabilities. Lucene and Solr committer Grant Ingersoll walks you through the basics of spatial search and shows you how to leverage its capabilities to power your next location-aware application.

A burst of innovation in the open source world over the last few years has led to an increase in Java developer productivity. A promising new entry on the scene is Apache CouchDB, hailed by some as the database for Web 2.0. This Java development 2.0 column introduces CouchDB and shows you how Groovy's RESTClient can help you tap into its strengths.

This article shows you how to use Apache Hadoop to build a MapReduce framework to make a Hadoop Cluster and how to create a sample MapReduce application which runs on Hadoop. You will also learn how to set up a time/disk-consuming task on the cloud.

The artifacts produced when your Java application fails can help you analyse the root causes of the failure. This article shows how you can analyse problems with your Java code using the artifacts produced when your application unexpectedly terminates.

Django is a lightweight framework with vibrant community surrounding it. Create a simple Django application and learn how to deploy it to the Web on a server running Apache and mod_python. Finally, learn how Django applications can and should be scaled as your application's requirements grow.

Each component of LAMP -- Linux, Apache, PHP, or MySQL -- has various needs. Part-3 helps you understanding them individually to eliminate the bottlenecks that can slow your application performance.

This series of three articles on tuning LAMP systems discusses many of the server configuration items that can make or break an application's performance. Part-2 focuses on steps you can take to optimize Apache and PHP.

Part-1, of the Tunning LAMP (Linux, Apache, PHP, or MySQL) systems, covers the LAMP architecture, some measurement techniques, and some basic Linux kernel, disk, and file system tweaks.

Using Non-Blocking I/O (NIO) improves server performance drastically because of its efficient use of system resources (threads). The gain in performance is noticeable Ajax applications with long polling mechanisms. It also lets you control system-resource usage on a server under pressure. This article explains how to optimize your server for performance during the handling of both Ajax and regular requests.

Apache Lucene is a Cross-Platform Solution written in 100% Java. It offers powerful features through a simple API, that will go out and grab and index pages you specify, allowing you to search them at will. In this tutorial, you'll learn how to create a high-performance search engine in a step-by-step manner and how to use Apache Lucene and integrate it with a Web application. This article ( http://www.ibm.com/developerworks/library/wa-lucene2/index.html?ca=dgr-btw15LuceneBeefup - Beef up Web search apps with Lucene ), is also available for you to learn more.

Document storage is hot, hot, hot! There has been an explosion of methodologies and tool sets -- both open source and proprietary -- to fulfill the demand for quickly locating and searching documents. Mash Apache Derby with a new OpenOffice 2.0 feature to create a repository that lets you store, search, and extract ODF documents in a standards-based manner.