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Java Linksammlung
JAVA LINKSAMMLUNG LerneProgrammieren.de - 2020 Java einfach lernen (klicke hier) JAVA LINKSAMMLUNG INHALTSVERZEICHNIS Build ........................................................................................................................................................... 4 Caching ....................................................................................................................................................... 4 CLI ............................................................................................................................................................... 4 Cluster-Verwaltung .................................................................................................................................... 5 Code-Analyse ............................................................................................................................................. 5 Code-Generators ........................................................................................................................................ 5 Compiler ..................................................................................................................................................... 6 Konfiguration ............................................................................................................................................. 6 CSV ............................................................................................................................................................. 6 Daten-Strukturen -
Declarative Languages for Big Streaming Data a Database Perspective
Tutorial Declarative Languages for Big Streaming Data A database Perspective Riccardo Tommasini Sherif Sakr University of Tartu Unversity of Tartu [email protected] [email protected] Emanuele Della Valle Hojjat Jafarpour Politecnico di Milano Confluent Inc. [email protected] [email protected] ABSTRACT sources and are pushed asynchronously to servers which are The Big Data movement proposes data streaming systems to responsible for processing them [13]. tame velocity and to enable reactive decision making. However, To facilitate the adoption, initially, most of the big stream approaching such systems is still too complex due to the paradigm processing systems provided their users with a set of API for shift they require, i.e., moving from scalable batch processing to implementing their applications. However, recently, the need for continuous data analysis and pattern detection. declarative stream processing languages has emerged to simplify Recently, declarative Languages are playing a crucial role in common coding tasks; making code more readable and main- fostering the adoption of Stream Processing solutions. In partic- tainable, and fostering the development of more complex appli- ular, several key players introduce SQL extensions for stream cations. Thus, Big Data frameworks (e.g., Flink [9], Spark [3], 1 processing. These new languages are currently playing a cen- Kafka Streams , and Storm [19]) are starting to develop their 2 3 4 tral role in fostering the stream processing paradigm shift. In own SQL-like approaches (e.g., Flink SQL , Beam SQL , KSQL ) this tutorial, we give an overview of the various languages for to declaratively tame data velocity. declarative querying interfaces big streaming data. -
Apache Apex: Next Gen Big Data Analytics
Apache Apex: Next Gen Big Data Analytics Thomas Weise <[email protected]> @thweise PMC Chair Apache Apex, Architect DataTorrent Apache Big Data Europe, Sevilla, Nov 14th 2016 Stream Data Processing Data Delivery Transform / Analytics Real-time visualization, … Declarative SQL API Data Beam Beam SAMOA Operator SAMOA DAG API Sources Library Events Logs Oper1 Oper2 Oper3 Sensor Data Social Databases CDC (roadmap) 2 Industries & Use Cases Financial Services Ad-Tech Telecom Manufacturing Energy IoT Real-time Call detail record customer facing (CDR) & Supply chain Fraud and risk Smart meter Data ingestion dashboards on extended data planning & monitoring analytics and processing key performance record (XDR) optimization indicators analysis Understanding Reduce outages Credit risk Click fraud customer Preventive & improve Predictive assessment detection behavior AND maintenance resource analytics context utilization Packaging and Improve turn around Asset & Billing selling Product quality & time of trade workforce Data governance optimization anonymous defect tracking settlement processes management customer data HORIZONTAL • Large scale ingest and distribution • Enforcing data quality and data governance requirements • Real-time ELTA (Extract Load Transform Analyze) • Real-time data enrichment with reference data • Dimensional computation & aggregation • Real-time machine learning model scoring 3 Apache Apex • In-memory, distributed stream processing • Application logic broken into components (operators) that execute distributed in a cluster • -
Installation Guide
Delegation Issuing Service (DIS) Installation Guide © University of Kent 2005-2011 Document History Version Date Comments 0.1 9 September 2005 First draft by Wensheng 0.2 12 September Updated by Tuan Anh 2005 0.3 14 September Reviewed by David 2005 1.0 15 September First public release 2005 1.1 1 July 2006 Updated with Acceptance Tests for issuing attributes 1.2 24 July 2006 Update the installation instructions 1.3 26 July 2006 Updated with Acceptance Tests for revocation attributes 1.4 14 August 2006 Fix some inconsistencies after validating by Romain 1.5 3 October 2006 Add the SearchRequestor parameter, change the parameters in the configuration file using Permis standard parameters. 1.6 24 October 2006 Add instruction for using policy stored in a file 1.7 24 October 2006 Add support for java 1.5 1.8 22 February 2007 Add support for Tomat 5.5 1.9 23 April 2007 Add support for Apache 2.2 2.0 12 August 2008 Using PERMIS v5 policies and Apache http server on Windows (by Linying) 2.1 25 March 2009 Updated the authentication of tomcat, DIS installation instruction, instruction for apache2.2 (by Kaniz) 2.2 17 February 2010 Revised and updated by Kaniz 1 2.3 16 April 2010 Updated by Mark 2.5 26 October 2010 Install guide rewritten and separated into its own document 2.5.2 2 November 2010 Java installation explained more fully. Tomcat native library installation corrected. Default DIS configuration file inserted. 2.5.4 5 November 2010 Addressed feedback from Kaniz 2.5.5 26 May 2011 Added alternative <FilesMatch> for PHP files. -
Tutorial on Web Services
Tutorial on Web Services HY559 Infrastructure Technologies for Large- Scale Service-Oriented Systems Jason Polakis [email protected] Required Software •Eclipse IDE for Java developers EE http://www.eclipse.org/downloads/ •Netbeans IDE http://netbeans.org/downloads/ •Apache Tomcat http://tomcat.apache.org/ •Apache AXIS2 http://axis.apache.org/axis2/java/core/download.cgi •Apache JUDDI http://juddi.apache.org/releases.html Getting Software • Either directly from given links, or: • In Ubuntu (as root) • To search for software – apt -cache search <program name> – Returns list of <packages> with short description • To install software – apt-get install <package> – Installs software, as well as dependencies Web Services “Any piece of software that makes itself available over the Internet and uses a standardized XML messaging system” •Extremely available •Language and platform independent •Distributed application components •Discoverable via a simple find mechanism •Components of Web Services – SOAP (Simple Object Access Protocol) – WSDL (Web Services Description Language) – UDDI (Universal Description, Discovery and Integration) Web Service Architecture •Web Service Protocol Stack –Service transport (transport messages between applications) •HTTP, SMTP, FTP –XML messaging (encode messages in common XML format ) • XML-RPC, WS-Addressing, and SOAP –Service description (describe public interface of service) –Service discovery (centralize services into common registry) •Programming models: –REST-based web services –SOAP-based web services SOAP-based Services •Use SOAP –protocol for exchanging structured information •Use WSDL –xml-based language for describing Web services •WSDL file –created based on the JAVA code in the service –exposed on the net •To use service, must create a client –based on WSDL info •Messages exchanged in SOAP •Java API for XML Web Services (JAX-WS) model also used for SOAP services. -
Informatica 10.2 Hotfix 2 Release Notes April 2019
Informatica 10.2 HotFix 2 Release Notes April 2019 © Copyright Informatica LLC 1998, 2020 Contents Installation and Upgrade......................................................................... 3 Informatica Upgrade Paths......................................................... 3 Upgrading from 9.6.1............................................................. 4 Upgrading from Version 10.0, 10.1, 10.1.1, and 10.1.1 HotFix 1.............................. 4 Upgrading from Version 10.1.1 HF2.................................................. 5 Upgrading from 10.2.............................................................. 6 Related Links ................................................................... 7 Verify the Hadoop Distribution Support................................................ 7 Hotfix Installation and Rollback..................................................... 8 10.2 HotFix 2 Fixed Limitations and Closed Enhancements........................................ 17 Analyst Tool Fixed Limitations and Closed Enhancements (10.2 HotFix 2).................... 17 Application Service Fixed Limitations and Closed Enhancements (10.2 HotFix 2)............... 17 Command Line Programs Fixed Limitations and Closed Enhancements (10.2 HotFix 2).......... 17 Developer Tool Fixed Limitations and Closed Enhancements (10.2 HotFix 2).................. 18 Informatica Connector Toolkit Fixed Limitations and Closed Enhancements (10.2 HotFix 2) ...... 18 Mappings and Workflows Fixed Limitations (10.2 HotFix 2)............................... 18 Metadata -
Neon Core Infrastructure Services
NeOn-project.org NeOn: Lifecycle Support for Networked Ontologies Integrated Project (IST-2005-027595) Priority: IST-2004-2.4.7 – “Semantic-based knowledge and content systems” D6.4.2 NeOn core infrastructure services Deliverable Co-ordinator: Walter Waterfeld Deliverable Co-ordinating Institution: Software AG (SAG) Other Authors: Diana Maynard, University of Sheffield (USFD), Ian Roberts, University of Sheffield (USFD), Michael Gesmann, Software AG (SAG) Document Identifier: NEON/2010/D6.4.2/v1.0 Date due: October 31st, 2009 Class Deliverable: NEON EU-IST-2005-027595 Submission date: January 31st , 2010 Project start date: March 1, 2006 Version: v1.0 Project duration: 4 years State: Final Distribution: Public 2006–2010 © Copyright lies with the respective authors and their institutions. Page 2 of 25 NeOn Integrated Project EU-IST-027595 NeOn Consortium This document is a part of the NeOn research project funded by the IST Programme of the Commission of the European Communities by the grant number IST-2005-027595. The following partners are involved in the project: Open University (OU) – Coordinator Universität Karlsruhe – TH (UKARL) Knowledge Media Institute – KMi Institut für Angewandte Informatik und Formale Berrill Building, Walton Hall Beschreibungsverfahren – AIFB Milton Keynes, MK7 6AA Englerstrasse 11 United Kingdom D-76128 Karlsruhe, Germany Contact person: Enrico Motta Contact person: Andreas Harth E-mail address: [email protected] E-mail address: [email protected] Universidad Politécnica de Madrid (UPM) Software AG (SAG) Campus de Montegancedo Uhlandstrasse 12 28660 Boadilla del Monte 64297 Darmstadt Spain Germany Contact person: Asunción Gómez Pérez Contact person: Walter Waterfeld E-mail address: [email protected] E-mail address: [email protected] Intelligent Software Components S.A. -
Apache AXIS2 Release Notes
AXIS2 for OpenVMS I64 July 2017 1. Introduction Apache AXIS2 for OpenVMS is the core engine for web services. It is a complete redesign and rewrite of the previously used Apache AXIS SOAP stack. This release of AXIS2 for OpenVMS is based on the latest 1.7.3 release from the Apache Software Foundation, and includes various new features and bug fixes. The release also provides a prebuilt Java servlet, which can be deployed within an application server such as Tomcat. Users are strongly encouraged to upgrade to 1.7-3 to take advantage of these improvements. This OpenVMS port of AXIS2 includes all Apache AXIS2 functionality provided by the Open Source 1.7.3 release. 2. Acknowledgements VMS Software Inc. would like to acknowledge the work of the Apache AXIS2 development team for their ongoing efforts in developing and supporting this software. 3. What’s new in this release AXIS2 Version 1.7-3 for OpenVMS is based on Apache AXIS2 1.7.3, and includes the following changes: Apache Axis2 1.7.3 is a security release that contains a fix for CVE-2010-3981. That security vulnerability affects the admin console that is part of the Axis2 Web application. The admin console now has a CSRF prevention mechanism and all known XSS vulnerabilities as well as two non-security bugs in the admin console (AXIS2-4764 and AXIS2-5716) have been fixed. Users of the AXIS2 WAR distribution are encouraged to upgrade to 1.7.3 to take advantage of these improvements. This release also fixes a regression in the HTTP client code that is triggered by the presence of certain types of cookies in HTTP responses (see AXIS2-5772). -
Web Services Enabled Openoffice.Org
Axis2UNO: Web Services Enabled Openoffice.org B.A.N.M. Bambarasinghe, H.M.S. Huruggamuwa, R.G. Ragel and S. Radhakrishnan Department of Computer Engineering, Faculty of Engineering, University of Peradeniya CP 20400 Sri Lanka. [email protected], [email protected], [email protected], [email protected] Abstract— Openoffice.org is a popular, free and open source So opening of doors and windows for web services in office product. This product is used by millions of people and Openoffice.org is going to expose a completely new world of developed, maintained and extended by thousands of developers information easily available and accessible in the office worldwide. Playing a dominant role in the web, web services environment. However implementing a whole set of technology is serving millions of people every day. Axis2 is one of functionalities needed in accessing web services is really a the most popular, free and open source web service engines. The framework presented in this paper, Axis2UNO, a combination of waste as there are already implemented open source web such two technologies is capable of making a new era in office service engines that could be utilized on this endeavour. The environment. Two other attempts to enhance web services role of a web service engine is to accept requests and related functionality in office products are Excel Web Services and UNO parameters to web services, executing the web service and Web Service Proxy. Excel Web Services is combined with Microsoft finally forwarding the outcome to the requesting program. In SharePoint technology and exposes information sharing in a addition to this, web service engines will also provide some different perspective within the proprietary Microsoft office services on security, data formatting, etc. -
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 Calcite: a Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources
Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources Edmon Begoli Jesús Camacho-Rodríguez Julian Hyde Oak Ridge National Laboratory Hortonworks Inc. Hortonworks Inc. (ORNL) Santa Clara, California, USA Santa Clara, California, USA Oak Ridge, Tennessee, USA [email protected] [email protected] [email protected] Michael J. Mior Daniel Lemire David R. Cheriton School of University of Quebec (TELUQ) Computer Science Montreal, Quebec, Canada University of Waterloo [email protected] Waterloo, Ontario, Canada [email protected] ABSTRACT argued that specialized engines can offer more cost-effective per- Apache Calcite is a foundational software framework that provides formance and that they would bring the end of the “one size fits query processing, optimization, and query language support to all” paradigm. Their vision seems today more relevant than ever. many popular open-source data processing systems such as Apache Indeed, many specialized open-source data systems have since be- Hive, Apache Storm, Apache Flink, Druid, and MapD. Calcite’s ar- come popular such as Storm [50] and Flink [16] (stream processing), chitecture consists of a modular and extensible query optimizer Elasticsearch [15] (text search), Apache Spark [47], Druid [14], etc. with hundreds of built-in optimization rules, a query processor As organizations have invested in data processing systems tai- capable of processing a variety of query languages, an adapter ar- lored towards their specific needs, two overarching problems have chitecture designed for extensibility, and support for heterogeneous arisen: data models and stores (relational, semi-structured, streaming, and • The developers of such specialized systems have encoun- geospatial). This flexible, embeddable, and extensible architecture tered related problems, such as query optimization [4, 25] is what makes Calcite an attractive choice for adoption in big- or the need to support query languages such as SQL and data frameworks. -
Hortonworks Data Platform for Enterprise Data Lakes Delivers Robust, Big Data Analytics That Accelerate Decision Making and Innovation
IBM Europe Software Announcement ZP18-0220, dated March 20, 2018 Hortonworks Data Platform for Enterprise Data Lakes delivers robust, big data analytics that accelerate decision making and innovation Table of contents 1 Overview 5 Technical information 2 Key prerequisites 6 Ordering information 2 Planned availability date 7 Terms and conditions 2 Description 9 Prices 5 Program number 10 Announcement countries 5 Publications 10 Corrections Overview Hortonworks Data Platform is an enterprise ready open source Apache Hadoop distribution based on a centralized architecture supported by YARN. Hortonworks Data Platform is designed to address the needs of data at rest, power real-time customer applications, and deliver big data analytics that can help accelerate decision making and innovation. The official Apache versions for Hortonworks Data Platform V2.6.4 include: • Apache Accumulo 1.7.0 • Apache Atlas 0.8.0 • Apache Calcite 1.2.0 • Apache DataFu 1.3.0 • Apache Falcon 0.10.0 • Apache Flume 1.5.2 • Apache Hadoop 2.7.3 • Apache HBase 1.1.2 • Apache Hive 1.2.1 • Apache Hive 2.1.0 • Apache Kafka 0.10.1 • Apache Knox 0.12.0 • Apache Mahout 0.9.0 • Apache Oozie 4.2.0 • Apache Phoenix 4.7.0 • Apache Pig 0.16.0 • Apache Ranger 0.7.0 • Apache Slider 0.92.0 • Apache Spark 1.6.3 • Apache Spark 2.2.0 • Apache Sqoop 1.4.6 • Apache Storm 1.1.0 • Apache TEZ 0.7.0 • Apache Zeppelin 0.7.3 IBM Europe Software Announcement ZP18-0220 IBM is a registered trademark of International Business Machines Corporation 1 • Apache ZooKeeper 3.4.6 IBM(R) clients can download this new offering from Passport Advantage(R).