Oracle® Big Data Appliance Licensing Information User Manual
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Log4j-Users-Guide.Pdf
...................................................................................................................................... Apache Log4j 2 v. 2.2 User's Guide ...................................................................................................................................... The Apache Software Foundation 2015-02-22 T a b l e o f C o n t e n t s i Table of Contents ....................................................................................................................................... 1. Table of Contents . i 2. Introduction . 1 3. Architecture . 3 4. Log4j 1.x Migration . 10 5. API . 16 6. Configuration . 18 7. Web Applications and JSPs . 48 8. Plugins . 56 9. Lookups . 60 10. Appenders . 66 11. Layouts . 120 12. Filters . 140 13. Async Loggers . 153 14. JMX . 167 15. Logging Separation . 174 16. Extending Log4j . 176 17. Extending Log4j Configuration . 184 18. Custom Log Levels . 187 © 2 0 1 5 , T h e A p a c h e S o f t w a r e F o u n d a t i o n • A L L R I G H T S R E S E R V E D . T a b l e o f C o n t e n t s ii © 2 0 1 5 , T h e A p a c h e S o f t w a r e F o u n d a t i o n • A L L R I G H T S R E S E R V E D . 1 I n t r o d u c t i o n 1 1 Introduction ....................................................................................................................................... 1.1 Welcome to Log4j 2! 1.1.1 Introduction Almost every large application includes its own logging or tracing API. In conformance with this rule, the E.U. -
Java Programming Standards & Reference Guide
Java Programming Standards & Reference Guide Version 3.2 Office of Information & Technology Department of Veterans Affairs Java Programming Standards & Reference Guide, Version 3.2 REVISION HISTORY DATE VER. DESCRIPTION AUTHOR CONTRIBUTORS 10-26-15 3.2 Added Logging Sid Everhart JSC Standards , updated Vic Pezzolla checkstyle installation instructions and package name rules. 11-14-14 3.1 Added ground rules for Vic Pezzolla JSC enforcement 9-26-14 3.0 Document is continually Raymond JSC and several being edited for Steele OI&T noteworthy technical accuracy and / PD Subject Matter compliance to JSC Experts (SMEs) standards. 12-1-09 2.0 Document Updated Michael Huneycutt Sr 4-7-05 1.2 Document Updated Sachin Mai L Vo Sharma Lyn D Teague Rajesh Somannair Katherine Stark Niharika Goyal Ron Ruzbacki 3-4-05 1.0 Document Created Sachin Sharma i Java Programming Standards & Reference Guide, Version 3.2 ABSTRACT The VA Java Development Community has been establishing standards, capturing industry best practices, and applying the insight of experienced (and seasoned) VA developers to develop this “Java Programming Standards & Reference Guide”. The Java Standards Committee (JSC) team is encouraging the use of CheckStyle (in the Eclipse IDE environment) to quickly scan Java code, to locate Java programming standard errors, find inconsistencies, and generally help build program conformance. The benefits of writing quality Java code infused with consistent coding and documentation standards is critical to the efforts of the Department of Veterans Affairs (VA). This document stands for the quality, readability, consistency and maintainability of code development and it applies to all VA Java programmers (including contractors). -
Exceptions and Libraries
9/7/2016 Exceptions and Libraries RS 9.3, 6.4 Some slides created by Marty Stepp http://www.cs.washington.edu/143/ Edited by Sarah Heckman CSC216: Programming Concepts –Java © NC State CSC216 Faculty 1 Exceptions • exception: An object representing an error or unusual condition. – unchecked exceptions: One that does not have to be handled for the program to compile – checked exception: One that must be handled for the program to compile. • What are some unchecked and checked exceptions? • What may cause unchecked or checked exceptions? • For any checked exception, you must either: –also throw that exception yourself – catch (handle) the exception CSC216: Programming Concepts –Java © NC State CSC216 Faculty 2 1 9/7/2016 Throwing an exception public type name(params) throws type { • throws clause: Keywords on a method's header that states that the method may generate an exception. – You only need to list the checked exceptions for compilation – Good form to list all exceptions (including unchecked exceptions) –Example: public class ReadFile { public static void main(String[] args) throws FileNotFoundException { } "I hereby announce that this method might throw an exception, and the caller must accept the consequences if it happens." CSC216: Programming Concepts –Java © NC State CSC216 Faculty 3 Catching an exception try { statement(s); } catch (ExceptionType name) { code to handle the exception } – The try code executes – at least one statement should potentially cause an exception • A method call that throws an exception – If the exception -
Perspectives on Free and Open Source Software.Pdf
Perspectives on Free and Open Source Software Perspectives on Free and Open Source Software edited by Joseph Feller, Brian Fitzgerald, Scott A. Hissam, and Karim R. Lakhani The MIT Press Cambridge, Massachusetts London, England © 2005 Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. MIT Press books may be purchased at special quantity discounts for business or sales promotional use. For information, please e-mail [email protected] or write to Special Sales Department, The MIT Press, 5 Cambridge Center, Cambridge, MA 02142. This book was set in Stone sans and Stone serif by SNP Best-set Typesetter Ltd., Hong Kong. Printed and bound in the United States of America. Library of Congress Cataloging-in-Publication Data Perspectives on free and open source software / edited by Joseph Feller . [et al.]. p. cm. Includes bibliographical references and index. ISBN 0-262-06246-1 (alk. paper) 1. Shareware (Computer software) 2. Open source software. 3. Computer software—Development. I. Feller, Joseph, 1972– QA76.76.S46P47 2005 005.36—dc22 2004064954 10987654321 My love, thanks and humble apologies go to my very patient and supportive family: Carol, Caelen, Damien, and Dylan. JF Arís as Gaeilge: Buíochas mór le mo chlann, Máire, Pól agus Eimear. Is mór agam an iarracht a rinne sibh ar mo shon. BF With heartfelt warmth, I dedicate this book to my wife, Jacqueline, and my two sons, Derek and Zachery, who bring meaning to everything I do. -
Rubyperf.Pdf
Ruby Performance. Tips, Tricks & Hacks Who am I? • Ezra Zygmuntowicz (zig-mun-tuv-itch) • Rubyist for 4 years • Engine Yard Founder and Architect • Blog: http://brainspl.at Ruby is Slow Ruby is Slow?!? Well, yes and no. The Ruby Performance Dichotomy Framework Code VS Application Code Benchmarking: The only way to really know performance characteristics Profiling: Measure don’t guess. ruby-prof What is all this good for in real life? Merb Merb Like most useful code it started as a hack, Merb == Mongrel + Erb • No cgi.rb !! • Clean room implementation of ActionPack • Thread Safe with configurable Mutex Locks • Rails compatible REST routing • No Magic( well less anyway ;) • Did I mention no cgi.rb? • Fast! On average 2-4 times faster than rails Design Goals • Small core framework for the VC in MVC • ORM agnostic, use ActiveRecord, Sequel, DataMapper or roll your own db access. • Prefer simple code over magic code • Keep the stack traces short( I’m looking at you alias_method_chain) • Thread safe, reentrant code Merb Hello World No code is faster then no code • Simplicity and clarity trumps magic every time. • When in doubt leave it out. • Core framework to stay small and simple and easy to extend without gross hacks • Prefer plugins for non core functionality • Plugins can be gems Key Differences • No auto-render. The return value of your controller actions is what gets returned to client • Merb’s render method just returns a string, allowing for multiple renders and more flexibility • PartController’s allow for encapsualted applets without big performance cost Why not work on Rails instead of making a new framework? • Originally I was trying to optimize Rails and make it more thread safe. -
LMAX Disruptor
Disruptor: High performance alternative to bounded queues for exchanging data between concurrent threads Martin Thompson Dave Farley Michael Barker Patricia Gee Andrew Stewart May-2011 http://code.google.com/p/disruptor/ 1 Abstract LMAX was established to create a very high performance financial exchange. As part of our work to accomplish this goal we have evaluated several approaches to the design of such a system, but as we began to measure these we ran into some fundamental limits with conventional approaches. Many applications depend on queues to exchange data between processing stages. Our performance testing showed that the latency costs, when using queues in this way, were in the same order of magnitude as the cost of IO operations to disk (RAID or SSD based disk system) – dramatically slow. If there are multiple queues in an end-to-end operation, this will add hundreds of microseconds to the overall latency. There is clearly room for optimisation. Further investigation and a focus on the computer science made us realise that the conflation of concerns inherent in conventional approaches, (e.g. queues and processing nodes) leads to contention in multi-threaded implementations, suggesting that there may be a better approach. Thinking about how modern CPUs work, something we like to call “mechanical sympathy”, using good design practices with a strong focus on teasing apart the concerns, we came up with a data structure and a pattern of use that we have called the Disruptor. Testing has shown that the mean latency using the Disruptor for a three-stage pipeline is 3 orders of magnitude lower than an equivalent queue-based approach. -
High Performance & Low Latency Complex Event Processor
International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Impact Factor (2012): 3.358 Lightning CEP - High Performance & Low Latency Complex Event Processor Vikas Kale1, Kishor Shedge2 1, 2Sir Visvesvaraya Institute of Technology, Chincholi, Nashik, 422101, India Abstract: Number of users and devices connected to internet is growing exponentially. Each of these device and user generate lot of data which organizations want to analyze and use. Hadoop like batch processing are evolved to process such big data. Batch processing systems provide offline data processing capability. There are many businesses which requires real-time or near real-time processing of data for faster decision making. Hadoop and batch processing system are not suitable for this. Stream processing systems are designed to support class of applications which requires fast and timely analysis of high volume data streams. Complex event processing, or CEP, is event/stream processing that combines data from multiple sources to infer events or patterns that suggest more complicated circumstances. In this paper I propose “Lightning - High Performance & Low Latency Complex Event Processor” engine. Lightning is based on open source stream processor WSO2 Siddhi. Lightning retains most of API and Query Processing of WSO2 Siddhi. WSO2 Siddhi core is modified using low latency technique such as Ring Buffer, off heap data store and other techniques. Keywords: CEP, Complex Event Processing, Stream Processing. 1. Introduction of stream applications include automated stock trading, real- time video processing, vital-signs monitoring and geo-spatial Number of users and devices connected to internet is trajectory modification. Results produced by such growing exponentially. -
Insert Here Your Thesis' Task
Insert here your thesis' task. Czech Technical University in Prague Faculty of Information Technology Department of Software Engineering Master's thesis New Ruby parser and AST for SmallRuby Bc. Jiˇr´ıFajman Supervisor: Ing. Marcel Hlopko 18th February 2016 Acknowledgements I would like to thank to my supervisor Ing. Marcel Hlopko for perfect coop- eration and valuable advices. I would also like to thank to my family for support. Declaration I hereby declare that the presented thesis is my own work and that I have cited all sources of information in accordance with the Guideline for adhering to ethical principles when elaborating an academic final thesis. I acknowledge that my thesis is subject to the rights and obligations stip- ulated by the Act No. 121/2000 Coll., the Copyright Act, as amended. In accordance with Article 46(6) of the Act, I hereby grant a nonexclusive au- thorization (license) to utilize this thesis, including any and all computer pro- grams incorporated therein or attached thereto and all corresponding docu- mentation (hereinafter collectively referred to as the \Work"), to any and all persons that wish to utilize the Work. Such persons are entitled to use the Work in any way (including for-profit purposes) that does not detract from its value. This authorization is not limited in terms of time, location and quan- tity. However, all persons that makes use of the above license shall be obliged to grant a license at least in the same scope as defined above with respect to each and every work that is created (wholly or in part) based on the Work, by modifying the Work, by combining the Work with another work, by including the Work in a collection of works or by adapting the Work (including trans- lation), and at the same time make available the source code of such work at least in a way and scope that are comparable to the way and scope in which the source code of the Work is made available. -
Need a Title Here
Equilibrium Behaviour of Double-Sided Queueing System with Dependent Matching Time by Cheryl Yang A thesis submitted to the Faculty of Graduate and Postdoctoral Affairs in partial fulfillment of the requirements for the degree of Master of Science in Probability and Statistics Carleton University Ottawa, Ontario @ 2020 Cheryl Yang ii Abstract In this thesis, we consider the equilibrium behaviour of a double-ended queueing system with dependent matching time in the context of taxi-passenger systems at airport terminal pickup. We extend the standard taxi-passenger model by considering random matching time between taxis and passengers in an airport terminal pickup setting. For two types of matching time distribution, we examine this model through analysis of equilibrium behaviour and optimal strategies. We demonstrate in detail how to derive the equilibrium joining strategies for passen- gers arriving at the terminal and the existence of a socially optimal strategies for partially observable and fully observable cases. Numerical experiments are used to examine the behaviour of social welfare and compare cases. iii Acknowledgements I would like to give my deepest gratitude to my supervisor, Dr. Yiqiang Zhao, for his tremendous support throughout my graduate program. Dr. Zhao gave me the opportunity to explore and be exposed to various applications of queueing theory and offered invaluable guidance and advice in my thesis research. Without his help, this thesis would not be possible. I am grateful for his patience, the time he has spent advising me, and his moral support that guided me through my studies at Carleton University. I would also like to thank Zhen Wang of Nanjing University of Science and Tech- nology for his gracious help and patience. -
This Hands-On Book Shows Readers Why and How Common Java Development Problems Can Be Solved by Using New Aspect-Oriented Program
AspectJ Cookbook By Russell Miles Publisher: O'Reilly Pub Date: December 2004 ISBN: 0-596-00654-3 Pages: 354 Table of • Contents • Index • Reviews Reader This hands-on book shows readers why and how common Java • Reviews development problems can be solved by using new Aspect-oriented • Errata programming (AOP) techniques. With a wide variety of code recipes for • Academic solving day-to-day design and coding problems using AOP's unique approach, AspectJ Cookbook demonstrates that AOP is more than just a concept; it's a development process that will benefit users in an immediate and visible manner. AspectJ Cookbook By Russell Miles Publisher: O'Reilly Pub Date: December 2004 ISBN: 0-596-00654-3 Pages: 354 Table of • Contents • Index • Reviews Reader • Reviews • Errata • Academic Copyright Preface Audience About This Book Assumptions This Book Makes Conventions Used in This Book Using the Code Examples We'd Like to Hear from You Safari Enabled Acknowledgments Chapter 1. Aspect Orientation Overview Section 1.1. A Brief History of Aspect Orientation Section 1.2. AspectJ Section 1.3. A Definition of Aspect Orientation Section 1.4. Where to Go for More Information Chapter 2. Getting Started with AspectJ Introduction Recipe 2.1. Installing AspectJ Recipe 2.2. Developing a Simple Aspect Recipe 2.3. Compiling an Aspect and Multiple Java Files Recipe 2.4. Weaving Aspects into Jars Recipe 2.5. Weaving Aspects at Load Time Recipe 2.6. Generating Javadoc Documentation Recipe 2.7. Compiling an AspectJ Project Using Eclipse Recipe 2.8. Selecting the Aspects That Are Woven in a Build Within Eclipse Recipe 2.9. -
JDK 9 Outreach JDK 9 Outreach
JDK 9 Outreach JDK 9 Outreach JDK 9 Outreach Introduction Caveat Lector JDK 9 Features The Little Things JDK 9 Early Access Builds Look for unrecognized VM options Run jdeps on your code Update your dependencies Cross compilation for older platform versions Testing Your Code JDK 9 changes that may affect your code Added OCSP Stapling for TLS Multi-Release JAR Files Parser API for Nashorn Prepare for v53 class files Prepare JavaFX UI Controls & CSS APIs for Modularization Validate JVM Command-Line Flag Arguments XML Catalogs Platform-Specific Desktop Features Changed Arrays.asList(x).toArray() returns Object[] Create PKCS12 Keystores by Default Disable SHA-1 Certificates Enable GTK 3 on Linux Encapsulate Most Internal APIs HarfBuzz Font-Layout Engine Indify String Concatenation Make G1 the Default Garbage Collector Marlin Graphics Renderer Modular Run-Time Images New Version-String Scheme Unified GC Logging Unified JVM Logging Use CLDR Locale Data by Default UTF-8 Property Files Removed Remove apple script engine code in jdk repository Remove GC Combinations Deprecated in JDK 8 Remove HTTP Proxy implementation from RMI Remove Launch-Time JRE Version Selection Remove java-rmi.exe and java-rmi.cgi Remove the JVM TI hprof Agent Remove the jhat Tool Removed API references to java.awt.peer and java.awt.dnd.peer packages Removed Packer/Unpacker addPropertyChangeListener and removePropertyChangeListener methods Removed LogManager addPropertyChangeListener and removePropertyChangeListener methods Removed com.sun.security.auth.callback.DialogCallbackHandler -
Varon-T Documentation Release 2.0.1-Dev-5-G376477b
Varon-T Documentation Release 2.0.1-dev-5-g376477b RedJack, LLC June 21, 2016 Contents 1 Contents 3 1.1 Introduction...............................................3 1.2 Disruptor queue management......................................3 1.3 Value objects...............................................5 1.4 Producers.................................................6 1.5 Consumers................................................7 1.6 Yield strategies..............................................9 1.7 Example: Summing integers.......................................9 2 Indices and tables 15 i ii Varon-T Documentation, Release 2.0.1-dev-5-g376477b This is the documentation for Varon-T 2.0.1-dev-5-g376477b, last updated June 21, 2016. Contents 1 Varon-T Documentation, Release 2.0.1-dev-5-g376477b 2 Contents CHAPTER 1 Contents 1.1 Introduction Message passing is currently a popular approach for implementing concurrent data processing applications. In this model, you decompose a large processing task into separate steps that execute concurrently and communicate solely by passing messages or data items between one another. This concurrency model is an intuitive way to structure a large processing task to exploit parallelism in a shared memory environment without incurring the complexity and overhead costs associated with multi-threaded applications. In order to use a message passing model, you need an efficient data structure for passing messages between the processing elements of your application. A common approach is to utilize queues for storing and retrieving messages. Varon-T is a C library that implements a disruptor queue (originally implemented in the Disruptor Java library), which is a particularly efficient FIFO queue implementation. Disruptor queues achieve their efficiency through a number of related techniques: • Objects are stored in a ring buffer, which uses a fixed amount of memory regardless of the number of data records processed.