ensoli.blogg.se - Apache lucene source code

Apache lucene source code how to#
Apache lucene source code code#
Apache lucene source code license#

Apache lucene source code license#

aspectj JARs: aspectjrt-1.8.5.jar,aspectjweaver-1.8.5.jar URLs: LICENSE: Eclipse Public License 1.0.

asm-commons JARs: asm-commons-4.1.jar URLs: LICENSE: BSD License.

asm-attrs JARs: asm-attrs.jar URLs: LICENSE: BSD License.

asm JARs: asm-3.3.1.jar URLs: LICENSE: BSD License.

Apacheds-kerberos JARs: apacheds-kerberos-codec-2.0.0-M15.jar URLs: LICENSE: Apache 2.0 License.

Apacheds JARs: apacheds-i18n-2.0.0-M15.jar URLs: LICENSE: Apache 2.0 License.

Apache Velocity JARs: velocity-1.7.jar URLs: LICENSE: Apache 2.0 License.

Apache Thrift JARs: libfb303.jar,libthrift-0.9.0.jar URLs: LICENSE: Apache 2.0 License.

Apache Lucene JARs: lucene-analyzers-common-4.4.0.jar,lucene-analyzers-kuromoji-4.4.0.jar,lucene-analyzers-phonetic-4.4.0.jar,lucene-core-4.4.jar,lucene-grouping-4.4.0.jar,lucene-highlighter-4.4.0.jar,lucene-memory-4.4.0.jar,lucene-misc-4.4.0.jar,lucene-queries-4.4.0.jar,lucene-queryparser-4.4.0.jar,lucene-spatial-4.4.0.jar,lucene-suggest-4.4.0.jar URLs: LICENSE: Apache 2.0 License.

AOP JARs: aopalliance-1.0.jar URLs: LICENSE: Public Domain.

Another Tool for Language Recognition JARs: antlr-2.7.6.jar,antir.jar URLs: LICENSE: BSD License.

Agile dependency manager JARs: ivy-2.1.0-rc2.jar URLs: LICENSE: Apache 2.0 License.

Apache lucene source code code#

Integrate geospatial data into your applicationĭevelopers wanting to learn the finer details of Apache Lucene by developing a series of projects with it.Source code for open source components may be obtained from the URL provided for each project.Explore scoring and document level boosting.Utilize different query types in Apache Lucene.By the end of the book you’ll be able to build your first Lucene patch, where you will not only write your patch, but also test it and ensure it adheres to community coding standards. This will prepare you to build a location-aware search engine with a representative data set that allows location constraints to be specified during a search. You’ll also develop a text classifier using Lucene and Apache Mahout, a popular machine learning framework.Īfter a detailed review of performance bench-marking and common issues associated with it, you’ll learn some of the best practices of tuning the performance of your application.

Apache lucene source code how to#

Applying this basic knowledge, you will develop a hello world app using basic Lucene queries and explore functions like scoring and document level boosting.Īlong the way you will also uncover the concepts of partial searching and matching in Lucene and then learn how to integrate geographical information (geospatial data) in Lucene using spatial queries and n-dimensional indexing. Starting with the basics of Lucene and searching, you will learn about the types of queries used in it and also take a look at scoring models.

This book explores the Java-based, high-performance text search engine library used to build search capabilities in your applications. Gain a thorough knowledge of Lucene's capabilities and use it to develop your own search applications.