Apache Solr Reference Guide Covering Apache Solr
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Lucene in Action Second Edition
Covers Apache Lucene 3.0 IN ACTION SECOND EDITION Michael McCandless Erik Hatcher , Otis Gospodnetic FOREWORD BY DOUG CUTTING MANNING www.it-ebooks.info Praise for the First Edition This is definitely the book to have if you’re planning on using Lucene in your application, or are interested in what Lucene can do for you. —JavaLobby Search powers the information age. This book is a gateway to this invaluable resource...It suc- ceeds admirably in elucidating the application programming interface (API), with many code examples and cogent explanations, opening the door to a fine tool. —Computing Reviews A must-read for anyone who wants to learn about Lucene or is even considering embedding search into their applications or just wants to learn about information retrieval in general. Highly recommended! —TheServerSide.com Well thought-out...thoroughly edited...stands out clearly from the crowd....I enjoyed reading this book. If you have any text-searching needs, this book will be more than sufficient equipment to guide you to successful completion. Even, if you are just looking to download a pre-written search engine, then this book will provide a good background to the nature of information retrieval in general and text indexing and searching specifically. —Slashdot.org The book is more like a crystal ball than ink on pape--I run into solutions to my most pressing problems as I read through it. —Arman Anwar, Arman@Web Provides a detailed blueprint for using and customizing Lucene...a thorough introduction to the inner workings of what’s arguably the most popular open source search engine...loaded with code examples and emphasizes a hands-on approach to learning. -
Apache Lucene Searching the Web and Everything Else
Apache Lucene Searching the Web and Everything Else Daniel Naber Mindquarry GmbH ID 380 2 AGENDA > What's a search engine > Lucene Java – Features – Code example > Solr – Features – Integration > Nutch – Features – Usage example > Conclusion and alternative solutions 3 About the Speaker > Studied computational linguistics > Java developer > Worked 3.5 years for an Enterprise Search company (using Lucene Java) > Now at Mindquarry, creators on an Open Source Collaboration Software (Mindquarry uses Solr) 4 Question: What is a Search Engine? > Answer: A software that – builds an index on text – answers queries using that index “But we have a database already“ – A search engine offers Scalability Relevance Ranking Integrates different data sources (email, web pages, files, database, ...) 5 What is a search engine? (cont.) > Works on words, not on substrings auto != automatic, automobile > Indexing process: – Convert document – Extract text and meta data – Normalize text – Write (inverted) index – Example: Document 1: “Apache Lucene at Jazoon“ Document 2: “Jazoon conference“ Index: apache -> 1 conference -> 2 jazoon -> 1, 2 lucene -> 1 6 Apache Lucene Overview > Lucene Java 2.2 – Java library > Solr 1.2 – http-based index and search server > Nutch 0.9 – Internet search engine software > http://lucene.apache.org 7 Lucene Java > Java library for indexing and searching > No dependencies (not even a logging framework) > Works with Java 1.4 or later > Input for indexing: Document objects – Each document: set of Fields, field name: field content (plain text) > Input for searching: query strings or Query objects > Stores its index as files on disk > No document converters > No web crawler 8 Lucene Java Users > IBM OmniFind Yahoo! Edition > technorati.com > Eclipse > Furl > Nuxeo ECM > Monster.com > .. -
Magnify Search Security and Administration Release 8.2 Version 04
Magnify Search Security and Administration Release 8.2 Version 04 April 08, 2019 Active Technologies, EDA, EDA/SQL, FIDEL, FOCUS, Information Builders, the Information Builders logo, iWay, iWay Software, Parlay, PC/FOCUS, RStat, Table Talk, Web390, WebFOCUS, WebFOCUS Active Technologies, and WebFOCUS Magnify are registered trademarks, and DataMigrator and Hyperstage are trademarks of Information Builders, Inc. Adobe, the Adobe logo, Acrobat, Adobe Reader, Flash, Adobe Flash Builder, Flex, and PostScript are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States and/or other countries. Due to the nature of this material, this document refers to numerous hardware and software products by their trademarks. In most, if not all cases, these designations are claimed as trademarks or registered trademarks by their respective companies. It is not this publisher's intent to use any of these names generically. The reader is therefore cautioned to investigate all claimed trademark rights before using any of these names other than to refer to the product described. Copyright © 2019, by Information Builders, Inc. and iWay Software. All rights reserved. Patent Pending. This manual, or parts thereof, may not be reproduced in any form without the written permission of Information Builders, Inc. Contents Preface ......................................................................... 7 Conventions ......................................................................... 7 Related Publications ................................................................. -
Enterprise Search Technology Using Solr and Cloud Padmavathy Ravikumar Governors State University
Governors State University OPUS Open Portal to University Scholarship All Capstone Projects Student Capstone Projects Spring 2015 Enterprise Search Technology Using Solr and Cloud Padmavathy Ravikumar Governors State University Follow this and additional works at: http://opus.govst.edu/capstones Part of the Databases and Information Systems Commons Recommended Citation Ravikumar, Padmavathy, "Enterprise Search Technology Using Solr and Cloud" (2015). All Capstone Projects. 91. http://opus.govst.edu/capstones/91 For more information about the academic degree, extended learning, and certificate programs of Governors State University, go to http://www.govst.edu/Academics/Degree_Programs_and_Certifications/ Visit the Governors State Computer Science Department This Project Summary is brought to you for free and open access by the Student Capstone Projects at OPUS Open Portal to University Scholarship. It has been accepted for inclusion in All Capstone Projects by an authorized administrator of OPUS Open Portal to University Scholarship. For more information, please contact [email protected]. ENTERPRISE SEARCH TECHNOLOGY USING SOLR AND CLOUD By Padmavathy Ravikumar Masters Project Submitted in partial fulfillment of the requirements For the Degree of Master of Science, With a Major in Computer Science Governors State University University Park, IL 60484 Fall 2014 ENTERPRISE SEARCH TECHNOLOGY USING SOLR AND CLOUD 2 Abstract Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database in9tegration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. -
Unravel Data Systems Version 4.5
UNRAVEL DATA SYSTEMS VERSION 4.5 Component name Component version name License names jQuery 1.8.2 MIT License Apache Tomcat 5.5.23 Apache License 2.0 Tachyon Project POM 0.8.2 Apache License 2.0 Apache Directory LDAP API Model 1.0.0-M20 Apache License 2.0 apache/incubator-heron 0.16.5.1 Apache License 2.0 Maven Plugin API 3.0.4 Apache License 2.0 ApacheDS Authentication Interceptor 2.0.0-M15 Apache License 2.0 Apache Directory LDAP API Extras ACI 1.0.0-M20 Apache License 2.0 Apache HttpComponents Core 4.3.3 Apache License 2.0 Spark Project Tags 2.0.0-preview Apache License 2.0 Curator Testing 3.3.0 Apache License 2.0 Apache HttpComponents Core 4.4.5 Apache License 2.0 Apache Commons Daemon 1.0.15 Apache License 2.0 classworlds 2.4 Apache License 2.0 abego TreeLayout Core 1.0.1 BSD 3-clause "New" or "Revised" License jackson-core 2.8.6 Apache License 2.0 Lucene Join 6.6.1 Apache License 2.0 Apache Commons CLI 1.3-cloudera-pre-r1439998 Apache License 2.0 hive-apache 0.5 Apache License 2.0 scala-parser-combinators 1.0.4 BSD 3-clause "New" or "Revised" License com.springsource.javax.xml.bind 2.1.7 Common Development and Distribution License 1.0 SnakeYAML 1.15 Apache License 2.0 JUnit 4.12 Common Public License 1.0 ApacheDS Protocol Kerberos 2.0.0-M12 Apache License 2.0 Apache Groovy 2.4.6 Apache License 2.0 JGraphT - Core 1.2.0 (GNU Lesser General Public License v2.1 or later AND Eclipse Public License 1.0) chill-java 0.5.0 Apache License 2.0 Apache Commons Logging 1.2 Apache License 2.0 OpenCensus 0.12.3 Apache License 2.0 ApacheDS Protocol -
Third Party Library Attributions
Third Party Library Attributions Table of Contents 1. Summary 2. PureWeb® Software Third Party Library Attributions 3. PureWeb iOS Client Libraries 3.1. Cocoa Lumberjack Framework 3.2. Sodium Crypto Library 4. ResolutionMD Server Libraries 4.1. Apache Commons 4.2. Apache PDFBox 4.3. Apache HttpComponents 4.4. Arial Unicode Font 4.5. Auto 4.6. Boost 4.7. Bootstrap 4.8. Cairo 4.9. CanJS 4.10. Curl 4.11. dcm4che2 4.12. dcm4che3 4.13. dcm4che5 4.14. DCMTK 4.15. Drools Expert 4.16. Eclipse Implementation of JAXB 4.17. Eclipse Metro 4.18. Eclipse ORB 4.19. Eclipse Project for JAX-WS 4.20. FFmpeg 4.21. FreeMarker 4.22. Freetype 4.23. FTGL 4.24. Glew 4.25. google-api-java-client 4.26. google-api-java-client-services 4.27. google-code-prettify 4.28. google-http-java-client 4.29. google-oauth-java-client 4.30. grcp-java 4.31. guava 4.32. html5shiv 4.33. HAPI 4.34. ICU 4.35. ITK 4.36. Java implementation of JSON Web Token (JWT) 4.37. Jersey 4.38. Joda-Time 4.39. jQuery 4.40. jQuery File Upload Plugin 4.41. jQuery Hashchange 4.42. jQuery UI 4.43. JSON Web Token support for the JVM 4.44. jsoup Java HTML Parser 4.45. Lo-Dash 4.46. libpng 4.47. llvm 4.48. logback 4.49. Mesa 3D Graphics Library 4.50. minizip 4.51. PixelMed 4.52. opencensus-java 4.53. requirejs 4.54. SLF4J 4.55. wysihtml5 4.56. zlib 5. -
Migration Guide
MIGRATION GUIDE DIGITAL EXPERIENCE MANAGER 7.2 1 MIGRATION GUIDE DIGITAL EXPERIENCE MANAGER 7.2 SUMMARY 1 INTRODUCTION ...................................................................................................................................................... 4 2 HOW TO UPGRADE FROM DIGITAL EXPERIENCE MANAGER 7.1 TO 7.2 ..................................... 5 2.1 Code base review and potential impacts .................................................................. 5 2.2 Deployment scripts/procedure review ....................................................................... 5 2.3 Test environment migration ............................................................................................ 5 3 RENDER FILTER CHANGE .................................................................................................................................... 6 3.1 Render Filters priority is now a Float instead of an Integer ............................. 6 3.1.1 Impact on the migration to Digital Experience 7.2............................................... 6 4 CUSTOM IMPLEMENTATIONS OF USERS AND GROUPS PROVIDERS ........................................... 7 5 CODE THAT NEEDS TO BE UPGRADED ........................................................................................................ 8 5.1 Overridden jmix:list’s hidden.header views need to be upgraded ................ 8 5.2 Apache PDFBox was upgraded to version 2.0.3 with API changes ............... 8 5.3 osgi:list interface needs to be changed .................................................................... -
Open Source Licenses for Inspire R11
Open Source Licenses for Inspire R11 An Overview Version 11.0 GMC Software AG © 2016 GMC Software AG. All rights reserved. http://www.gmc.net/documentation CLASSIFICATION: PUBLIC Open Source Licenses for Inspire An Overview Product version 11.0 Document version 11.0.0.1 Release date: November 2016 GMC Software AG www.gmc.net See also all GMC documentation online Should you have any queries, suggestions or comments concerning these materials, please do not hesitate to contact us at [email protected]. This document contains information classified as Public. Multiple sites of the GMC Software group of companies hold certificates to ISO 9001, ISO 27001 and ISO 14001. Copyright Information contained within this document may contain technical inaccuracies or typographical errors. Changes will be added periodically and modifications will be made thereto without prior notification. GMC Software AG does not enter into any obligations or responsibilities regarding the content of this document and does not assume any legal liability – neither expressed or implied – for its accuracy, completeness and/or usefulness. Copying of the software or manual on to any data storage medium or in any other way, except for explicit company internal use, is strictly forbidden without the prior written authorization of GMC Software AG. Failure to comply with these restrictions is liable to prosecution. Trademarks GMC Software Technology and its logo are trademarks and service marks of GMC Software AG registered in Switzerland, the US and numerous other countries. Adobe and Adobe ® PDF Library™ are trademarks or registered trademarks of Adobe Systems Inc. in the US and other countries. -
Return of Organization Exempt from Income
OMB No. 1545-0047 Return of Organization Exempt From Income Tax Form 990 Under section 501(c), 527, or 4947(a)(1) of the Internal Revenue Code (except black lung benefit trust or private foundation) Open to Public Department of the Treasury Internal Revenue Service The organization may have to use a copy of this return to satisfy state reporting requirements. Inspection A For the 2011 calendar year, or tax year beginning 5/1/2011 , and ending 4/30/2012 B Check if applicable: C Name of organization The Apache Software Foundation D Employer identification number Address change Doing Business As 47-0825376 Name change Number and street (or P.O. box if mail is not delivered to street address) Room/suite E Telephone number Initial return 1901 Munsey Drive (909) 374-9776 Terminated City or town, state or country, and ZIP + 4 Amended return Forest Hill MD 21050-2747 G Gross receipts $ 554,439 Application pending F Name and address of principal officer: H(a) Is this a group return for affiliates? Yes X No Jim Jagielski 1901 Munsey Drive, Forest Hill, MD 21050-2747 H(b) Are all affiliates included? Yes No I Tax-exempt status: X 501(c)(3) 501(c) ( ) (insert no.) 4947(a)(1) or 527 If "No," attach a list. (see instructions) J Website: http://www.apache.org/ H(c) Group exemption number K Form of organization: X Corporation Trust Association Other L Year of formation: 1999 M State of legal domicile: MD Part I Summary 1 Briefly describe the organization's mission or most significant activities: to provide open source software to the public that we sponsor free of charge 2 Check this box if the organization discontinued its operations or disposed of more than 25% of its net assets. -
IBM Cloudant: Database As a Service Fundamentals
Front cover IBM Cloudant: Database as a Service Fundamentals Understand the basics of NoSQL document data stores Access and work with the Cloudant API Work programmatically with Cloudant data Christopher Bienko Marina Greenstein Stephen E Holt Richard T Phillips ibm.com/redbooks Redpaper Contents Notices . 5 Trademarks . 6 Preface . 7 Authors. 7 Now you can become a published author, too! . 8 Comments welcome. 8 Stay connected to IBM Redbooks . 9 Chapter 1. Survey of the database landscape . 1 1.1 The fundamentals and evolution of relational databases . 2 1.1.1 The relational model . 2 1.1.2 The CAP Theorem . 4 1.2 The NoSQL paradigm . 5 1.2.1 ACID versus BASE systems . 7 1.2.2 What is NoSQL? . 8 1.2.3 NoSQL database landscape . 9 1.2.4 JSON and schema-less model . 11 Chapter 2. Build more, grow more, and sleep more with IBM Cloudant . 13 2.1 Business value . 15 2.2 Solution overview . 16 2.3 Solution architecture . 18 2.4 Usage scenarios . 20 2.5 Intuitively interact with data using Cloudant Dashboard . 21 2.5.1 Editing JSON documents using Cloudant Dashboard . 22 2.5.2 Configuring access permissions and replication jobs within Cloudant Dashboard. 24 2.6 A continuum of services working together on cloud . 25 2.6.1 Provisioning an analytics warehouse with IBM dashDB . 26 2.6.2 Data refinement services on-premises. 30 2.6.3 Data refinement services on the cloud. 30 2.6.4 Hybrid clouds: Data refinement across on/off–premises. 31 Chapter 3. -
Final Report CS 5604: Information Storage and Retrieval
Final Report CS 5604: Information Storage and Retrieval Solr Team Abhinav Kumar, Anand Bangad, Jeff Robertson, Mohit Garg, Shreyas Ramesh, Siyu Mi, Xinyue Wang, Yu Wang January 16, 2018 Instructed by Professor Edward A. Fox Virginia Polytechnic Institute and State University Blacksburg, VA 24061 1 Abstract The Digital Library Research Laboratory (DLRL) has collected over 1.5 billion tweets and millions of webpages for the Integrated Digital Event Archiving and Library (IDEAL) and Global Event Trend Archive Research (GETAR) projects [6]. We are using a 21 node Cloudera Hadoop cluster to store and retrieve this information. One goal of this project is to expand the data collection to include more web archives and geospatial data beyond what previously had been collected. Another important part in this project is optimizing the current system to analyze and allow access to the new data. To accomplish these goals, this project is separated into 6 parts with corresponding teams: Classification (CLA), Collection Management Tweets (CMT), Collection Management Webpages (CMW), Clustering and Topic Analysis (CTA), Front-end (FE), and SOLR. This report describes the work completed by the SOLR team which improves the current searching and storage system. We include the general architecture and an overview of the current system. We present the part that Solr plays within the whole system with more detail. We talk about our goals, procedures, and conclusions on the improvements we made to the current Solr system. This report also describes how we coordinate with other teams to accomplish the project at a higher level. Additionally, we provide manuals for future readers who might need to replicate our experiments. -
Analysis of a Data Processing Pipeline for Generating Knowledge Graphs from Unstructured Data
Analysis of a Data Processing Pipeline for Generating Knowledge Graphs from Unstructured Data Paras Kumar Analysis of a Data Processing Pipeline for Generating Knowledge Graphs from Unstructured Data Master’s Thesis in Computer Science EIT Digital - Cloud Computing & Services Distributed Systems Group Faculty of Electrical Engineering, Mathematics, and Computer Science Delft University of Technology Paras Kumar 21st August 2020 Author Paras Kumar Title Analysis of a Data Processing Pipeline for Generating Knowledge Graphs from Unstructured Data MSc presentation 28th August 2020 Graduation Committee Prof. dr. ir. D. H. J. Epema Delft University of Technology Prof. dr. M.M. Specht Delft University of Technology Dr. Gregor Lammel¨ Market Logic Software AG Abstract With the rapid growth of unstructured data across different mediums, it exposes new challenges for its analysis. To overcome this, data processing pipelines are designed with the help of different tools and technologies for the analysis of data at different stages. One of the applications which we find useful for our company is the creation of knowledge graphs for better representation and understanding of relations in the data. Knowledge graph is a structure of representing information where nodes represent the entities and edges define the relationships among them. The construction of a knowledge graph is a process of extracting meaningful in- formation of entities and relations from unstructured textual data and storing it in a graph database. In this project, we are using Neo4j as a graph database for the efficient storage of data in the form of nodes and relations. To achieve this goal, our first research question proposes the architecture and implementation of a data processing pipeline for the construction of knowledge graphs using unstructured textual data.