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Pragmatic Version Control Using Subversion
What readers are saying about Pragmatic Version Control using Subversion I expected a lot, but you surprised me with even more. Hav- ing used CVS for years I hesitated to try Subversion until now, although I knew it would solve many of the shortcom- ings of CVS. After reading your book, my excuses to stay with CVS disappeared. Oh, and coming from the Pragmatic Bookshelf this book is fun to read too. Thanks Mike. Steffen Gemkow Managing Director, ObjectFab GmbH I’m a long-time user of CVS and I’ve been skeptical of Sub- version, wondering if it would ever be “ready for prime time.” Until now. Thanks to Mike Mason for writing a clear, con- cise, gentle introduction to this new tool. After reading this book, I’m actually excited about the possibilities for version control that Subversion brings to the table. David Rupp Senior Software Engineer, Great-West Life & Annuity This was exactly the Subversion book I was waiting for. As a long-time Perforce and CVS user and administrator, and in my role as an agile tools coach, I wanted a compact book that told me just what I needed to know. This is it. Within a couple of hours I was up and running against remote Subversion servers, and setting up my own local servers too. Mike uses a lot of command-line examples to guide the reader, and as a Windows user I was worried at first. My fears were unfounded though—Mike’s examples were so clear that I think I’ll stick to using the command line from now on! I thoroughly recommend this book to anyone getting started using or administering Subversion. -
Software Best Practices
Software Best Practices Marco Mambelli – [email protected] Engineering Week 17 February 2020 Software • Set of instructions and its associated documentations that tells a computer what to do or how to perform a task • Any manuscript/artifact/product written by you with the scope to be used by machine and humans 2 2/17/20 Marco Mambelli | Software best practices 3 2/17/20 Marco Mambelli | Software best practices Outline • General applicability, more in detail – Version control and Git – Documentation • More specific to coding – Requirements – Design • Technology selection • OS Requirements • Software inputs • Software logs, metrics and accounting – Code development – Validation and testing – Releases – Deployment – Bug tracking – Change management – Critical services operation 4 2/17/20 Marco Mambelli | Software best practices “Piled Higher and Deeper” by Jorge Cham, http://www.phdcomics.com 5 2/17/20 Marco Mambelli | Software best practices Version Control System • Preserves different version of a document • Helps merging different contributions • Answers important questions on the documents – What changed? – Who changed it? – Why? 6 2/17/20 Marco Mambelli | Software best practices Centralized vs distributed VCS 7 2/17/20 Marco Mambelli | Software best practices Common RCS • SVN (Apache Subversion) – Newer system based on CVS – Includes atomic operations – Cheaper branch operations, slower comparative speed – Does not use peer-to-peer model – Still contains bugs relating to renaming files and directories – Insufficient repository management -
IPS Signature Release Note V9.17.79
SOPHOS IPS Signature Update Release Notes Version : 9.17.79 Release Date : 19th January 2020 IPS Signature Update Release Information Upgrade Applicable on IPS Signature Release Version 9.17.78 CR250i, CR300i, CR500i-4P, CR500i-6P, CR500i-8P, CR500ia, CR500ia-RP, CR500ia1F, CR500ia10F, CR750ia, CR750ia1F, CR750ia10F, CR1000i-11P, CR1000i-12P, CR1000ia, CR1000ia10F, CR1500i-11P, CR1500i-12P, CR1500ia, CR1500ia10F Sophos Appliance Models CR25iNG, CR25iNG-6P, CR35iNG, CR50iNG, CR100iNG, CR200iNG/XP, CR300iNG/XP, CR500iNG- XP, CR750iNG-XP, CR2500iNG, CR25wiNG, CR25wiNG-6P, CR35wiNG, CRiV1C, CRiV2C, CRiV4C, CRiV8C, CRiV12C, XG85 to XG450, SG105 to SG650 Upgrade Information Upgrade type: Automatic Compatibility Annotations: None Introduction The Release Note document for IPS Signature Database Version 9.17.79 includes support for the new signatures. The following sections describe the release in detail. New IPS Signatures The Sophos Intrusion Prevention System shields the network from known attacks by matching the network traffic against the signatures in the IPS Signature Database. These signatures are developed to significantly increase detection performance and reduce the false alarms. Report false positives at [email protected], along with the application details. January 2020 Page 2 of 245 IPS Signature Update This IPS Release includes Two Thousand, Seven Hundred and Sixty Two(2762) signatures to address One Thousand, Nine Hundred and Thirty Eight(1938) vulnerabilities. New signatures are added for the following vulnerabilities: Name CVE–ID -
E6895 Advanced Big Data Analytics Lecture 4: Data Store
E6895 Advanced Big Data Analytics Lecture 4: Data Store Ching-Yung Lin, Ph.D. Adjunct Professor, Dept. of Electrical Engineering and Computer Science Chief Scientist, Graph Computing, IBM Watson Research Center E6895 Advanced Big Data Analytics — Lecture 4 © CY Lin, 2016 Columbia University Reference 2 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Spark SQL 3 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Spark SQL 4 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Apache Hive 5 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Using Hive to Create a Table 6 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Creating, Dropping, and Altering DBs in Apache Hive 7 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Another Hive Example 8 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Hive’s operation modes 9 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Using HiveQL for Spark SQL 10 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Hive Language Manual 11 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Using Spark SQL — Steps and Example 12 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Query testtweet.json Get it from Learning Spark Github ==> https://github.com/databricks/learning-spark/tree/master/files 13 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University SchemaRDD 14 E6895 Advanced Big Data Analytics – Lecture 4: Data Store © 2015 CY Lin, Columbia University Row Objects Row objects represent records inside SchemaRDDs, and are simply fixed-length arrays of fields. -
Trabajo De Fin De Carrera
TRABAJO DE FIN DE CARRERA TÍTULO DEL TFC: VirtualEPSC, el mundo virtual 2.0 del Campus del Baix Llobregat TITULACIÓN: Ingeniería Técnica de Telecomunicación, especialidad en Telemática AUTORES: Luis Miguel Amorós Martínez Noemí Arbós Linio DIRECTOR: Toni Oller Arcas FECHA: 14 de julio de 2010 Título: VirtualEPSC, el mundo virtual 2.0 del Campus del Baix Llobregat Autores: Luis Miguel Amorós Martínez Noemí Arbós Linio Director: Toni Oller Arcas Fecha: 14 de julio de 2010 Resumen En las últimas décadas, se han producido cambios tecnológicos de gran envergadura que han provocado una ruptura brusca con las tecnologías existentes hasta el momento. Una de las más importantes es Internet, que se ha convertido en el entorno de comunicación más importante de la historia, con más de mil millones de usuarios en todo el mundo. Internet ha sufrido una serie de cambios en los últimos años y uno de los últimos conceptos que han surgido es el de web 2.0. Esta filosofía se basa en dar un rol más activo a los usuarios, por ejemplo, utilizando la colaboración de los usuarios en Internet, también llamado inteligencia colectiva; y en el diseño centrado en el usuario. Este trabajo describe los pasos seguidos para desarrollar una web 2.0 que aloja un mundo virtual que emula el Campus del Baix Llobregat. Se describe cómo son el diseño y la arquitectura del proyecto, y cómo se ha hecho la implementación de las diferentes partes. El resultado se denomina VirtualEPSC, una web 2.0 que aloja una aplicación multimedia en 2D que emula el Campus del Baix Llobregat, donde los usuarios podrán interactuar entre ellos. -
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 -
Inequalities in Open Source Software Development: Analysis of Contributor’S Commits in Apache Software Foundation Projects
RESEARCH ARTICLE Inequalities in Open Source Software Development: Analysis of Contributor’s Commits in Apache Software Foundation Projects Tadeusz Chełkowski1☯, Peter Gloor2☯*, Dariusz Jemielniak3☯ 1 Kozminski University, Warsaw, Poland, 2 Massachusetts Institute of Technology, Center for Cognitive Intelligence, Cambridge, Massachusetts, United States of America, 3 Kozminski University, New Research on Digital Societies (NeRDS) group, Warsaw, Poland ☯ These authors contributed equally to this work. * [email protected] a11111 Abstract While researchers are becoming increasingly interested in studying OSS phenomenon, there is still a small number of studies analyzing larger samples of projects investigating the structure of activities among OSS developers. The significant amount of information that OPEN ACCESS has been gathered in the publicly available open-source software repositories and mailing- list archives offers an opportunity to analyze projects structures and participant involve- Citation: Chełkowski T, Gloor P, Jemielniak D (2016) Inequalities in Open Source Software Development: ment. In this article, using on commits data from 263 Apache projects repositories (nearly Analysis of Contributor’s Commits in Apache all), we show that although OSS development is often described as collaborative, but it in Software Foundation Projects. PLoS ONE 11(4): fact predominantly relies on radically solitary input and individual, non-collaborative contri- e0152976. doi:10.1371/journal.pone.0152976 butions. We also show, in the first published study of this magnitude, that the engagement Editor: Christophe Antoniewski, CNRS UMR7622 & of contributors is based on a power-law distribution. University Paris 6 Pierre-et-Marie-Curie, FRANCE Received: December 15, 2015 Accepted: March 22, 2016 Published: April 20, 2016 Copyright: © 2016 Chełkowski et al. -
Hive, Spark, Presto for Interactive Queries on Big Data
DEGREE PROJECT IN INFORMATION AND COMMUNICATION TECHNOLOGY, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2018 Hive, Spark, Presto for Interactive Queries on Big Data NIKITA GUREEV KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE TRITA TRITA-EECS-EX-2018:468 www.kth.se Abstract Traditional relational database systems can not be efficiently used to analyze data with large volume and different formats, i.e. big data. Apache Hadoop is one of the first open-source tools that provides a dis- tributed data storage system and resource manager. The space of big data processing has been growing fast over the past years and many tech- nologies have been introduced in the big data ecosystem to address the problem of processing large volumes of data, and some of the early tools have become widely adopted, with Apache Hive being one of them. How- ever, with the recent advances in technology, there are other tools better suited for interactive analytics of big data, such as Apache Spark and Presto. In this thesis these technologies are examined and benchmarked in or- der to determine their performance for the task of interactive business in- telligence queries. The benchmark is representative of interactive business intelligence queries, and uses a star-shaped schema. The performance Hive Tez, Hive LLAP, Spark SQL, and Presto is examined with text, ORC, Par- quet data on different volume and concurrency. A short analysis and con- clusions are presented with the reasoning about the choice of framework and data format for a system that would run interactive queries on big data. -
Collaboration Tools in Software Engineering Stepan Bolotnikov Me
Collaboration Tools in Software Engineering Stepan Bolotnikov Me ● Stepan Bolotnikov ● Software Engineer at Guardtime ● MSc in Software Engineering from UT, 2018 ● [email protected] You Mostly BSc students in Computer Science ● Software developers / QA engineers ● CS researchers ● Project managers / team leads In any case connected to software projects, sharing knowledge and resources Course ● History and working principles of version control systems (VCS) ● Git distributed VCS ● Issue tracking ● Theoretical knowledge + practical hands-on exercises ● 8 sessions ● Every 2nd Friday ● Lecture + practice ● Non-differentiated (pass/fail) Schedule ● 22. Feb - Introduction, history of VCS ● 08. Mar - Introduction to Git, setting up the first repository, basic Git usage ● 22. Mar - Common Git commands ● 05. Apr - Branching in Git, common branching models ● 19. Apr - Troubleshooting common Git issues ● 03. May - Github; Issue tracking ● 17. May - Advanced Git usage; git hooks and CI ● 31. May - Guest lecture, preparation for exam ● 07. June - Exam 1 ● 14. June - Exam 2 Sessions ● 4h ● Lecture part ● Practical part Final exam ● 7th or 17th June ● Individual practical tasks ● “Poor”, “Satisfactory” or “Good” ● “Satisfactory” and “Good” - passing In order to pass the course ● Active participation in at least 6 out of 8 sessions ○ Complete the practical tasks ● “Satisfactory” or “Good” on the final exam Communication Course website http://courses.cs.ut.ee/2019/cse Course Slack Click Lecture 1: Introduction to course, History of Version -
HDP 3.1.4 Release Notes Date of Publish: 2019-08-26
Release Notes 3 HDP 3.1.4 Release Notes Date of Publish: 2019-08-26 https://docs.hortonworks.com Release Notes | Contents | ii Contents HDP 3.1.4 Release Notes..........................................................................................4 Component Versions.................................................................................................4 Descriptions of New Features..................................................................................5 Deprecation Notices.................................................................................................. 6 Terminology.......................................................................................................................................................... 6 Removed Components and Product Capabilities.................................................................................................6 Testing Unsupported Features................................................................................ 6 Descriptions of the Latest Technical Preview Features.......................................................................................7 Upgrading to HDP 3.1.4...........................................................................................7 Behavioral Changes.................................................................................................. 7 Apache Patch Information.....................................................................................11 Accumulo........................................................................................................................................................... -
Apache Hadoop Goes Realtime at Facebook
Apache Hadoop Goes Realtime at Facebook Dhruba Borthakur Joydeep Sen Sarma Jonathan Gray Kannan Muthukkaruppan Nicolas Spiegelberg Hairong Kuang Karthik Ranganathan Dmytro Molkov Aravind Menon Samuel Rash Rodrigo Schmidt Amitanand Aiyer Facebook {dhruba,jssarma,jgray,kannan, nicolas,hairong,kranganathan,dms, aravind.menon,rash,rodrigo, amitanand.s}@fb.com ABSTRACT 1. INTRODUCTION Facebook recently deployed Facebook Messages, its first ever Apache Hadoop [1] is a top-level Apache project that includes user-facing application built on the Apache Hadoop platform. open source implementations of a distributed file system [2] and Apache HBase is a database-like layer built on Hadoop designed MapReduce that were inspired by Googles GFS [5] and to support billions of messages per day. This paper describes the MapReduce [6] projects. The Hadoop ecosystem also includes reasons why Facebook chose Hadoop and HBase over other projects like Apache HBase [4] which is inspired by Googles systems such as Apache Cassandra and Voldemort and discusses BigTable, Apache Hive [3], a data warehouse built on top of the applications requirements for consistency, availability, Hadoop, and Apache ZooKeeper [8], a coordination service for partition tolerance, data model and scalability. We explore the distributed systems. enhancements made to Hadoop to make it a more effective realtime system, the tradeoffs we made while configuring the At Facebook, Hadoop has traditionally been used in conjunction system, and how this solution has significant advantages over the with Hive for storage and analysis of large data sets. Most of this sharded MySQL database scheme used in other applications at analysis occurs in offline batch jobs and the emphasis has been on Facebook and many other web-scale companies. -
CPS Release Notes
Release Notes for Cisco Policy Suite for Release 7.0 First Published: September 26, 2014 Last Updated: July 10, 2015 Release: 7.0 Contents This document describes the new features, feature versions and limitations for the Cisco Policy Suite software. Use this document in combination with documents listed in the “Related Documentation” section on page 33. This document includes the following sections: • Introduction, page 1 • New and Changed Information, page 2 • Installation Notes, page 9 • Limitations and Restrictions, page 15 • Caveats, page 23 • Related Documentation, page 33 Introduction The Cisco Policy Suite is a comprehensive policy, charging, and subscriber data management solution that allows service providers to control and monetize their networks and to profit from personalized services. The Cisco Policy Suite has the following components: • Policy Server (PS) • Charging Server (CS) • Application Gateway (AGW) Cisco Systems, Inc. www.cisco.com New and Changed Information • Unified Subscriber Manager (USuM) • Subscriber Analytics The Cisco Policy Suite provides an intelligent control plane solution, including southbound interfaces to various policy control enforcement functions (PCEFs) in the network, and northbound interfaces to OSS/BSS and subscriber applications, IMSs, and web applications. The Cisco Policy Suite modules are enabled individually or deployed as an integrated end-to-end policy, charging, and service creation solution. Competitive Benefits The new Cisco Policy Suite solution provides these benefits over competitive solutions. • Cisco Policy Suite architecture allows simultaneous sessions and transactions per second (TPS) capacity to be independently scaled. This allows Cisco Policy Suite to be efficiently sized for both high simultaneous sessions with low TPS or low sessions with high TPS, resulting in lower total cost of ownership when compared to traditional PCRF models.