Reference Documentation

Total Page:16

File Type:pdf, Size:1020Kb

Reference Documentation Reference Documentation 2.1.4 Copyright © 2004-2008 Shay Banon (kimchy), Alan Hardy Copies of this document may be made for your own use and for distribution to others, provided that you do not charge any fee for such copies and further provided that each copy contains this Copyright Notice, whether distributed in print or electronically. Table of Contents Preface ................................................................................................................................................ 1. Introduction .................................................................................................................................. 1.1. Overview ............................................................................................................................. 1 1.2. I use ... ................................................................................................................................. 2 1.2.1. ... Lucene .................................................................................................................. 2 1.2.2. ... Domain Model ....................................................................................................... 4 1.2.3. ... Xml Model ............................................................................................................ 4 1.2.4. ... No Model .............................................................................................................. 4 1.2.5. ... ORM Framework ................................................................................................... 4 1.2.6. ... Spring Framework ................................................................................................. 5 I. Compass Core ................................................................................................................................. 2. Introduction .......................................................................................................................... 2.1. Overview ..................................................................................................................... 7 2.2. Session Lifecycle ......................................................................................................... 8 2.3. Template and Callback ................................................................................................. 8 3. Configuration ........................................................................................................................ 3.1. Programmatic Configuration ......................................................................................... 9 3.2. XML/JSON Configuration ............................................................................................ 11 3.2.1. Schema Based Configuration .............................................................................. 11 3.2.2. JSON Based Configuration ................................................................................ 13 3.2.3. DTD Based Configuration .................................................................................. 13 3.3. Obtaining a Compass reference ..................................................................................... 14 3.4. Rebuilding Compass ..................................................................................................... 14 3.5. Configuring Callback Events ........................................................................................ 14 4. Connection ............................................................................................................................ 4.1. File System Store ......................................................................................................... 15 4.2. RAM Store .................................................................................................................. 16 4.3. Jdbc Store .................................................................................................................... 16 4.3.1. Managed Environment ....................................................................................... 17 4.3.2. Data Source Provider ......................................................................................... 17 4.3.3. File Entry Handler ............................................................................................. 19 4.3.4. DDL ................................................................................................................. 19 4.4. Lock Factory ................................................................................................................ 20 4.5. Local Directory Cache .................................................................................................. 20 4.6. Lucene Directory Wrapper ............................................................................................ 21 4.6.1. SyncMemoryMirrorDirectoryWrapperProvider ................................................... 21 4.6.2. AsyncMemoryMirrorDirectoryWrapperProvider ................................................. 21 5. Search Engine ....................................................................................................................... 5.1. Introduction ................................................................................................................. 23 5.2. Alias, Resource and Property ........................................................................................ 23 5.2.1. Using Resource/Property .................................................................................... 23 5.3. Analyzers .................................................................................................................... 23 5.3.1. Configuring Analyzers ....................................................................................... 24 5.3.2. Analyzer Filter .................................................................................................. 25 5.3.3. Handling Synonyms .......................................................................................... 25 5.4. Similarity ..................................................................................................................... 26 5.5. Query Parser ................................................................................................................ 26 5.6. Index Structure ............................................................................................................. 26 Compass - Java Search Engine ii Compass - Java Search Engine Framework 5.7. Transaction .................................................................................................................. 27 5.7.1. Locking ............................................................................................................ 27 5.7.2. Isolation ............................................................................................................ 28 5.7.3. Transaction Log ................................................................................................ 29 5.8. All Support .................................................................................................................. 30 5.9. Sub Index Hashing ....................................................................................................... 31 5.9.1. Constant Sub Index Hashing .............................................................................. 31 5.9.2. Modulo Sub Index Hashing ................................................................................ 32 5.9.3. Custom Sub Index Hashing ................................................................................ 34 5.10. Optimizers ................................................................................................................. 35 5.10.1. Scheduled Optimizers ...................................................................................... 35 5.10.2. Aggressive Optimizer ...................................................................................... 35 5.10.3. Adaptive Optimizer ......................................................................................... 35 5.10.4. Null Optimizer ................................................................................................ 36 5.11. Merge ........................................................................................................................ 36 5.11.1. Merge Policy ................................................................................................... 36 5.11.2. Merge Scheduler .............................................................................................. 36 5.12. Index Deletion Policy ................................................................................................. 36 5.13. Spell Check / Did You Mean ....................................................................................... 37 5.13.1. Spell Index ...................................................................................................... 38 5.14. Direct Lucene ............................................................................................................. 39 5.14.1. Wrappers ........................................................................................................ 39 5.14.2. Searcher And IndexReader ............................................................................... 39 6. OSEM - Object/Search Engine Mapping ..............................................................................
Recommended publications
  • Transmit Processing in MIMO Wireless Systems
    IEEE 6th CAS Symp. on Emerging Technologies: Mobile and Wireless Comm Shanghai, China, May 31-June 2,2004 Transmit Processing in MIMO Wireless Systems Josef A. Nossek, Michael Joham, and Wolfgang Utschick Institute for Circuit Theory and Signal Processing, Munich University of Technology, 80333 Munich, Germany Phone: +49 (89) 289-28501, Email: [email protected] Abstract-By restricting the receive filter to he scalar, we weighted by a scalar in Section IV. In Section V, we compare derive the optimizations for linear transmit processing from the linear transmit and receive processing. respective joint optimizations of transmit and receive filters. We A popular nonlinear transmit processing scheme is Tom- can identify three filter types similar to receive processing: the nmamit matched filter (TxMF), the transmit zero-forcing filter linson Harashima precoding (THP) originally proposed for (TxZE), and the transmil Menerfilter (TxWF). The TxW has dispersive single inpur single output (SISO) systems in [IO], similar convergence properties as the receive Wiener filter, i.e. [Ill, but can also be applied to MlMO systems [12], [13]. it converges to the matched filter and the zero-forcing Pter for THP is similar to decision feedback equalization (DFE), hut low and high signal to noise ratio, respectively. Additionally, the contrary to DFE, THP feeds back the already transmitted mean square error (MSE) of the TxWF is a lower hound for the MSEs of the TxMF and the TxZF. symbols to reduce the interference caused by these symbols The optimizations for the linear transmit filters are extended at the receivers. Although THP is based on the application of to obtain the respective Tomlinson-Harashimp precoding (THP) nonlinear modulo operators at the receivers and the transmitter, solutions.
    [Show full text]
  • Download the Basketballplayer.Ngql Fle Here
    Nebula Graph Database Manual v1.2.1 Min Wu, Amber Zhang, XiaoDan Huang 2021 Vesoft Inc. Table of contents Table of contents 1. Overview 4 1.1 About This Manual 4 1.2 Welcome to Nebula Graph 1.2.1 Documentation 5 1.3 Concepts 10 1.4 Quick Start 18 1.5 Design and Architecture 32 2. Query Language 43 2.1 Reader 43 2.2 Data Types 44 2.3 Functions and Operators 47 2.4 Language Structure 62 2.5 Statement Syntax 76 3. Build Develop and Administration 128 3.1 Build 128 3.2 Installation 134 3.3 Configuration 141 3.4 Account Management Statement 161 3.5 Batch Data Management 173 3.6 Monitoring and Statistics 192 3.7 Development and API 199 4. Data Migration 200 4.1 Nebula Exchange 200 5. Nebula Graph Studio 224 5.1 Change Log 224 5.2 About Nebula Graph Studio 228 5.3 Deploy and connect 232 5.4 Quick start 237 5.5 Operation guide 248 6. Contributions 272 6.1 Contribute to Documentation 272 6.2 Cpp Coding Style 273 6.3 How to Contribute 274 6.4 Pull Request and Commit Message Guidelines 277 7. Appendix 278 7.1 Comparison Between Cypher and nGQL 278 - 2/304 - 2021 Vesoft Inc. Table of contents 7.2 Comparison Between Gremlin and nGQL 283 7.3 Comparison Between SQL and nGQL 298 7.4 Vertex Identifier and Partition 303 - 3/304 - 2021 Vesoft Inc. 1. Overview 1. Overview 1.1 About This Manual This is the Nebula Graph User Manual.
    [Show full text]
  • Three Methods of Finding Remainder on the Operation of Modular
    Zin Mar Win, Khin Mar Cho; International Journal of Advance Research and Development (Volume 5, Issue 5) Available online at: www.ijarnd.com Three methods of finding remainder on the operation of modular exponentiation by using calculator 1Zin Mar Win, 2Khin Mar Cho 1University of Computer Studies, Myitkyina, Myanmar 2University of Computer Studies, Pyay, Myanmar ABSTRACT The primary purpose of this paper is that the contents of the paper were to become a learning aid for the learners. Learning aids enhance one's learning abilities and help to increase one's learning potential. They may include books, diagram, computer, recordings, notes, strategies, or any other appropriate items. In this paper we would review the types of modulo operations and represent the knowledge which we have been known with the easiest ways. The modulo operation is finding of the remainder when dividing. The modulus operator abbreviated “mod” or “%” in many programming languages is useful in a variety of circumstances. It is commonly used to take a randomly generated number and reduce that number to a random number on a smaller range, and it can also quickly tell us if one number is a factor of another. If we wanted to know if a number was odd or even, we could use modulus to quickly tell us by asking for the remainder of the number when divided by 2. Modular exponentiation is a type of exponentiation performed over a modulus. The operation of modular exponentiation calculates the remainder c when an integer b rose to the eth power, bᵉ, is divided by a positive integer m such as c = be mod m [1].
    [Show full text]
  • J2EE Development Standards
    Indiana University J2EE Development Standards University Information Systems September 2004 Version 1.4 Table of Contents Introduction............................................................................................................... 3 Methodology..............................................................................................................6 Architecture...............................................................................................................12 Coding Conventions..................................................................................................18 Standard Libraries ....................................................................................................20 Tools ..........................................................................................................................21 Development Platform ..............................................................................................22 Shared Services .........................................................................................................23 Deployment................................................................................................................24 References and Links................................................................................................26 Appendices.................................................................................................................28 J2EE Development Standards v1.4 - 2 - J2EE Development Standards: Introduction
    [Show full text]
  • The Best of Both Worlds?
    The Best of Both Worlds? Reimplementing an Object-Oriented System with Functional Programming on the .NET Platform and Comparing the Two Paradigms Erik Bugge Thesis submitted for the degree of Master in Informatics: Programming and Networks 60 credits Department of Informatics Faculty of mathematics and natural sciences UNIVERSITY OF OSLO Autumn 2019 The Best of Both Worlds? Reimplementing an Object-Oriented System with Functional Programming on the .NET Platform and Comparing the Two Paradigms Erik Bugge © 2019 Erik Bugge The Best of Both Worlds? http://www.duo.uio.no/ Printed: Reprosentralen, University of Oslo Abstract Programming paradigms are categories that classify languages based on their features. Each paradigm category contains rules about how the program is built. Comparing programming paradigms and languages is important, because it lets developers make more informed decisions when it comes to choosing the right technology for a system. Making meaningful comparisons between paradigms and languages is challenging, because the subjects of comparison are often so dissimilar that the process is not always straightforward, or does not always yield particularly valuable results. Therefore, multiple avenues of comparison must be explored in order to get meaningful information about the pros and cons of these technologies. This thesis looks at the difference between the object-oriented and functional programming paradigms on a higher level, before delving in detail into a development process that consisted of reimplementing parts of an object- oriented system into functional code. Using results from major comparative studies, exploring high-level differences between the two paradigms’ tools for modular programming and general program decompositions, and looking at the development process described in detail in this thesis in light of the aforementioned findings, a comparison on multiple levels was done.
    [Show full text]
  • Functional C
    Functional C Pieter Hartel Henk Muller January 3, 1999 i Functional C Pieter Hartel Henk Muller University of Southampton University of Bristol Revision: 6.7 ii To Marijke Pieter To my family and other sources of inspiration Henk Revision: 6.7 c 1995,1996 Pieter Hartel & Henk Muller, all rights reserved. Preface The Computer Science Departments of many universities teach a functional lan- guage as the first programming language. Using a functional language with its high level of abstraction helps to emphasize the principles of programming. Func- tional programming is only one of the paradigms with which a student should be acquainted. Imperative, Concurrent, Object-Oriented, and Logic programming are also important. Depending on the problem to be solved, one of the paradigms will be chosen as the most natural paradigm for that problem. This book is the course material to teach a second paradigm: imperative pro- gramming, using C as the programming language. The book has been written so that it builds on the knowledge that the students have acquired during their first course on functional programming, using SML. The prerequisite of this book is that the principles of programming are already understood; this book does not specifically aim to teach `problem solving' or `programming'. This book aims to: ¡ Familiarise the reader with imperative programming as another way of imple- menting programs. The aim is to preserve the programming style, that is, the programmer thinks functionally while implementing an imperative pro- gram. ¡ Provide understanding of the differences between functional and imperative pro- gramming. Functional programming is a high level activity.
    [Show full text]
  • Javaedge Setup and Installation
    APPENDIX A ■ ■ ■ JavaEdge Setup and Installation Throughout the book, we have used the example application, JavaEdge, to provide a practical demonstration of all the features discussed. In this appendix, we will walk you through setting up the tools and applications required to build and run JavaEdge, as well as take you through the steps needed to get the JavaEdge application running on your platform. Environment Setup Before you can get started with the JavaEdge application, you need to configure your platform to be able to build and run JavaEdge. Specifically, you need to configure Apache Ant in order to build the JavaEdge application and package it up for deployment. In addition, the JavaEdge application is designed to run on a J2EE application server and to use MySQL as the back-end database. You also need to have a current JDK installed; the JavaEdge application relies on JVM version 1.5 or higher, so make sure your JDK is compatible. We haven’t included instruc- tions for this here, since we are certain that you will already have a JDK installed if you are reading this book. However, if you do need to download one, you can find it at http://java. sun.com/j2se/1.5.0/download.jsp. Installing MySQL The JavaEdge application uses MySQL as the data store for all user, story, and comment data. If you don’t already have the MySQL database server, then you need to obtain the version applicable to your platform. You can obtain the latest production binary release of MySQL for your platform at http://www.mysql.com.
    [Show full text]
  • Fast Integer Division – a Differentiated Offering from C2000 Product Family
    Application Report SPRACN6–July 2019 Fast Integer Division – A Differentiated Offering From C2000™ Product Family Prasanth Viswanathan Pillai, Himanshu Chaudhary, Aravindhan Karuppiah, Alex Tessarolo ABSTRACT This application report provides an overview of the different division and modulo (remainder) functions and its associated properties. Later, the document describes how the different division functions can be implemented using the C28x ISA and intrinsics supported by the compiler. Contents 1 Introduction ................................................................................................................... 2 2 Different Division Functions ................................................................................................ 2 3 Intrinsic Support Through TI C2000 Compiler ........................................................................... 4 4 Cycle Count................................................................................................................... 6 5 Summary...................................................................................................................... 6 6 References ................................................................................................................... 6 List of Figures 1 Truncated Division Function................................................................................................ 2 2 Floored Division Function................................................................................................... 3 3 Euclidean
    [Show full text]
  • Strength Reduction of Integer Division and Modulo Operations
    Strength Reduction of Integer Division and Modulo Operations Saman Amarasinghe, Walter Lee, Ben Greenwald M.I.T. Laboratory for Computer Science Cambridge, MA 02139, U.S.A. g fsaman,walt,beng @lcs.mit.edu http://www.cag.lcs.mit.edu/raw Abstract Integer division, modulo, and remainder operations are expressive and useful operations. They are logical candidates to express complex data accesses such as the wrap-around behavior in queues using ring buffers, array address calculations in data distribution, and cache locality compiler-optimizations. Experienced application programmers, however, avoid them because they are slow. Furthermore, while advances in both hardware and software have improved the performance of many parts of a program, few are applicable to division and modulo operations. This trend makes these operations increasingly detrimental to program performance. This paper describes a suite of optimizations for eliminating division, modulo, and remainder operations from programs. These techniques are analogous to strength reduction techniques used for multiplications. In addition to some algebraic simplifications, we present a set of optimization techniques which eliminates division and modulo operations that are functions of loop induction variables and loop constants. The optimizations rely on number theory, integer programming and loop transformations. 1 Introduction This paper describes a suite of optimizations for eliminating division, modulo, and remainder operations from pro- grams. In addition to some algebraic simplifications, we present a set of optimization techniques which eliminates division and modulo operations that are functions of loop induction variables and loop constants. These techniques are analogous to strength reduction techniques used for multiplications. Integer division, modulo, and remainder are expressive and useful operations.
    [Show full text]
  • Full-Graph-Limited-Mvn-Deps.Pdf
    org.jboss.cl.jboss-cl-2.0.9.GA org.jboss.cl.jboss-cl-parent-2.2.1.GA org.jboss.cl.jboss-classloader-N/A org.jboss.cl.jboss-classloading-vfs-N/A org.jboss.cl.jboss-classloading-N/A org.primefaces.extensions.master-pom-1.0.0 org.sonatype.mercury.mercury-mp3-1.0-alpha-1 org.primefaces.themes.overcast-${primefaces.theme.version} org.primefaces.themes.dark-hive-${primefaces.theme.version}org.primefaces.themes.humanity-${primefaces.theme.version}org.primefaces.themes.le-frog-${primefaces.theme.version} org.primefaces.themes.south-street-${primefaces.theme.version}org.primefaces.themes.sunny-${primefaces.theme.version}org.primefaces.themes.hot-sneaks-${primefaces.theme.version}org.primefaces.themes.cupertino-${primefaces.theme.version} org.primefaces.themes.trontastic-${primefaces.theme.version}org.primefaces.themes.excite-bike-${primefaces.theme.version} org.apache.maven.mercury.mercury-external-N/A org.primefaces.themes.redmond-${primefaces.theme.version}org.primefaces.themes.afterwork-${primefaces.theme.version}org.primefaces.themes.glass-x-${primefaces.theme.version}org.primefaces.themes.home-${primefaces.theme.version} org.primefaces.themes.black-tie-${primefaces.theme.version}org.primefaces.themes.eggplant-${primefaces.theme.version} org.apache.maven.mercury.mercury-repo-remote-m2-N/Aorg.apache.maven.mercury.mercury-md-sat-N/A org.primefaces.themes.ui-lightness-${primefaces.theme.version}org.primefaces.themes.midnight-${primefaces.theme.version}org.primefaces.themes.mint-choc-${primefaces.theme.version}org.primefaces.themes.afternoon-${primefaces.theme.version}org.primefaces.themes.dot-luv-${primefaces.theme.version}org.primefaces.themes.smoothness-${primefaces.theme.version}org.primefaces.themes.swanky-purse-${primefaces.theme.version}
    [Show full text]
  • Computing Mod Without Mod
    Computing Mod Without Mod Mark A. Will and Ryan K. L. Ko Cyber Security Lab The University of Waikato, New Zealand fwillm,[email protected] Abstract. Encryption algorithms are designed to be difficult to break without knowledge of the secrets or keys. To achieve this, the algorithms require the keys to be large, with some algorithms having a recommend size of 2048-bits or more. However most modern processors only support computation on 64-bits at a time. Therefore standard operations with large numbers are more complicated to implement. One operation that is particularly challenging to implement efficiently is modular reduction. In this paper we propose a highly-efficient algorithm for solving large modulo operations; it has several advantages over current approaches as it supports the use of a variable sized lookup table, has good spatial and temporal locality allowing data to be streamed, and only requires basic processor instructions. Our proposed algorithm is theoretically compared to widely used modular algorithms, before practically compared against the state-of-the-art GNU Multiple Precision (GMP) large number li- brary. 1 Introduction Modular reduction, also known as the modulo or mod operation, is a value within Y, such that it is the remainder after Euclidean division of X by Y. This operation is heavily used in encryption algorithms [6][8][14], since it can \hide" values within large prime numbers, often called keys. Encryption algorithms also make use of the modulo operation because it involves more computation when compared to other operations like add. Meaning that computing the modulo operation is not as simple as just adding bits.
    [Show full text]
  • Haskell-Like S-Expression-Based Language Designed for an IDE
    Department of Computing Imperial College London MEng Individual Project Haskell-Like S-Expression-Based Language Designed for an IDE Author: Supervisor: Michal Srb Prof. Susan Eisenbach June 2015 Abstract The state of the programmers’ toolbox is abysmal. Although substantial effort is put into the development of powerful integrated development environments (IDEs), their features often lack capabilities desired by programmers and target primarily classical object oriented languages. This report documents the results of designing a modern programming language with its IDE in mind. We introduce a new statically typed functional language with strong metaprogramming capabilities, targeting JavaScript, the most popular runtime of today; and its accompanying browser-based IDE. We demonstrate the advantages resulting from designing both the language and its IDE at the same time and evaluate the resulting environment by employing it to solve a variety of nontrivial programming tasks. Our results demonstrate that programmers can greatly benefit from the combined application of modern approaches to programming tools. I would like to express my sincere gratitude to Susan, Sophia and Tristan for their invaluable feedback on this project, my family, my parents Michal and Jana and my grandmothers Hana and Jaroslava for supporting me throughout my studies, and to all my friends, especially to Harry whom I met at the interview day and seem to not be able to get rid of ever since. ii Contents Abstract i Contents iii 1 Introduction 1 1.1 Objectives ........................................ 2 1.2 Challenges ........................................ 3 1.3 Contributions ...................................... 4 2 State of the Art 6 2.1 Languages ........................................ 6 2.1.1 Haskell ....................................
    [Show full text]