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  • Lucid Imagination Releases Performance Monitoring Utility for Apache Lucene

    Developers working with Apache Search engine Lucene typically rely on using a code profiler, debugging the source code, or manually instrumenting the Lucene code to track down performance variations with their Lucene implementation. LucidGaze, a free product from Lucid Imagination, offers an alternative. InfoQ takes a look at the product and talks to Lucid Imagination to find out more.

  • Hibernate Search 3.1 Supports Dynamic Search Analyzer and Query Time Performance Improvements

    The latest version of Hibernate Search, an open source domain model search framework from Hibernate group, supports a declarative and dynamic search analyzer model as well as indexing and query time performance improvements. Hibernate Search development team recently announced the release of Version 3.1 of the search framework. The new version also provides new features focused on usability.

  • Apache Solr: Extensible, Clustered Search Server Built on Lucene

    The Apache Solr project, an open source enterprise search server based on Apache Lucene, recently released version 1.3. InfoQ spoke with Solr creator Yonik Seeley to learn more about this release, and also about what capabilities Solr offers to end users.

  • Apache Lucene and Lucene.Net – Full Text Search Servers

    Ten years ago, relying on open source projects was unimaginable in most Windows shops. These days, .NET programmers are awakening to the world of enterprise class software developed and proven on the Java platform. Today we look at the popular Full Text search engines, Apache Lucene and Lucene.Net.

  • Interview: Randy Shoup Discusses the eBay Architecture

    In this interview from QCon San Francisco 2007, Randy Shoup discusses the architecture of eBay. Topics discussed include eBay's architectural principles, horizontal and vertical partitioning, ACID vs. BASE, handling data inconsistency, distributed caching, updating eBay on the fly, architectural and coding standards, eBay's search infrastructure, grid computing, and SOA.

  • Compass 2.0: Simplification, integration, and performance improvements

    The Compass project, an open source project based on Lucene which aims to simplify the integration of search into Java applications, recently released version 2.0. InfoQ spoke with Compass founder Shay Banon to learn more about this release and about what Compass provides to the Java community.

  • Lucene 2.3: Large indexing performance improvements, new machine-learning project

    The Apache Lucene project, a high-performance full-featured text search engine library written entirely in Java, released version 2.3 today. InfoQ spoke with committer and Project Management Committee (PMC) member Grant Ingersoll to learn more about this release and the future plans for Lucene.

  • Incremental feature search the next UI paradigm shift?

    Incremental search as a means to find features and functions within applications may be an emerging UI design innovation. Apple and Microsoft have recently tried it with a lot of praise from the community. Are we experiencing a paradigm shift in application navigation? Are the days of traversing a maze of menus and remembering convoluted keyboard shortcuts numbered?

  • Lucene 2.2: Payloads, Function queries, and more speed

    Lucene Java 2.2 is now available. Lucene is a high-performance, full-featured text search engine library written entirely in Java. There are several new features in this version, and InfoQ spoke with Grant Ingersoll, a committer and Project Management Committee (PMC) member for the Lucene project, to learn more about this release.

  • Hibernate Search: Indexed Full Text Search of your Domain Model

    The second beta of the new Hibernate Search project was recently released. InfoQ spoke to project lead Emmanuel Bernard to find out more. The Hibernate Search project is aimed at users of Hibernate or JPA that want to make their Hibernate/JPA-managed objects accessible via indexed, full-text search.

  • Apache Solr: Lucene Based Server Provides Highly Scalable Enterprise Search

    Apache Solr is a Lucene-based enterprise search server that delivers out-of-the-box indexing and query capabilities in a portable war file. Users interact with Solr via an HTTP interface, submitting content for indexing and making queries using XML documents and HTTP GET parameters.

  • InfoQ Article: Compass Introduction, Compass 1.1 M3 now available

    InfoQ has released an article describing how to get started with the Compass search integration API. The Compass Project has also released version 1.1 M3 with major features including support for polymorphic relationships and better cyclic mappings support.

  • Clustering Lucene with TerraCotta

    Engineers at TerraCotta have detailed a new way to cluster Lucene, the popular text search library from Apache. Their method involves implementing the Lucene RAMDirectory interface and using TerraCotta DSO to share the RAMDirectory across JVMs.

  • Compass: Simplifying and Extending Lucene to Provide Google-like Search

    The Compass project recently released the second milestone of the 1.1 cycle. Compass is a open source Java Search Engine Framework, enabling the power of search engine semantics to your application stack decoratively. Compass leverages the popular Lucene indexing engine and integrates with popular development frameworks like Hibernate and Spring.

  • Search Library Lucene 2.0 Released

    Lucene 2.0 is out. Lucene is a Java-based, full-featured text search engine library which has become the standard, trusted choice by pretty much any Java project needing to integrate search into their applications. v2 is mostly a stable bugfix release from v1.9 which came out on February 26th and introduced most of the major changes since 1.4.3.

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