Apache Camel
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XML Document Parsing: Operational and Performance Characteristics
COMPUTING PRACTICES XML Document Parsing: Operational and Performance Characteristics Parsing is an expensive operation that can degrade XML processing performance. A survey of four representative XML parsing models—DOM, SAX, StAX, and VTD—reveals their suitability for different types of applications. Tak Cheung Lam roadly used in database and networking applications, the and Jianxun Jason Ding Extensible Markup Language is the de facto standard for the Cisco Systems interoperable document format. As XML becomes widespread, it is critical for application developers to understand the opera- Jyh-Charn Liu tional and performance characteristics of XML processing. Texas A&M University BAs Figure 1 shows, XML processing occurs in four stages: parsing, access, modification, and serialization. Although parsing is the most expensive operation,1 there are no detailed studies that compare • the processing steps and associated overhead costs of different parsing models, • tradeoffs in accessing and modifying parsed data, and • XML-based applications’ access and modification requirements. Figure 1 also illustrates the three-step parsing process. The first two steps, character conversion and lexical analysis, are usually invariant among dif- ferent parsing models, while the third step, syntactic analysis, creates data representations based on the parsing model used. To help developers make sensible choices for their target applications, we compared the data representations of four representative parsing models: document object model (DOM; www.w3.org/DOM), simple API for XML (SAX; www.saxproject.org), streaming API for XML (StAX; http://jcp.org/ en/jsr/detail?id=173), and virtual token descriptor (VTD; http://vtd-xml. sourceforge.net). These data representations result in different operational and performance characteristics. -
Hibernate ORM Query Simplication Using Hibernate
2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science Hibernate ORM Query Simplication Using Hibernate Criteria Extension (HCE) Kisman Sani M. Isa Master of Information Technology Master in Computer Science Bina Nusantara University Bina Nusantara University Jl. Kebon Jeruk Raya No. 27, Jakarta Barat, DKI Jl. Kebon Jeruk Raya No. 27, Jakarta Barat, DKI Jakarta, Indonesia 11530 Jakarta, Indonesia 11530 [email protected] [email protected] Abstract— Software development time is a critical issue interfaced by a query. The software engineer will make in software development process, hibernate has been the query specified to database used. Each database widely used to increase development speed. It is used in vendor has their Structured Query Language (SQL). As database manipulation layer. This research develops a the development of software technology and most of library to simplify hibernate criteria. The library that is programming languages are object oriented, some called as Hibernate Criteria Extension (HCE) provides API functions to simplify code and easily to be used. Query engineer or software institutions try to simplify the associations can be defined by using dot. The library will query process. They try to bind object in application to automatically detect the join association(s) based on database. This approach is called as Object Relational mapping in entity class. It can also be used in restriction Mapping (ORM). ORM is a translation mechanism from and order. HCE is a hibernate wrapper library. The object to relational data, vice versa. ORM has “dialect” configuration is based on hibernate configuration. -
Enterprise Integration Patterns N About Apache Camel N Essential Patterns Enterprise Integration Patterns N Conclusions and More
Brought to you by... #47 CONTENTS INCLUDE: n About Enterprise Integration Patterns n About Apache Camel n Essential Patterns Enterprise Integration Patterns n Conclusions and more... with Apache Camel Visit refcardz.com By Claus Ibsen ABOUT ENTERPRISE INTEGRATION PaTTERNS Problem A single event often triggers a sequence of processing steps Solution Use Pipes and Filters to divide a larger processing steps (filters) that are connected by channels (pipes) Integration is a hard problem. To help deal with the complexity Camel Camel supports Pipes and Filters using the pipeline node. of integration problems the Enterprise Integration Patterns Java DSL from(“jms:queue:order:in”).pipeline(“direct:transformOrd (EIP) have become the standard way to describe, document er”, “direct:validateOrder”, “jms:queue:order:process”); and implement complex integration problems. Hohpe & Where jms represents the JMS component used for consuming JMS messages Woolf’s book the Enterprise Integration Patterns has become on the JMS broker. Direct is used for combining endpoints in a synchronous fashion, allow you to divide routes into sub routes and/or reuse common routes. the bible in the integration space – essential reading for any Tip: Pipeline is the default mode of operation when you specify multiple integration professional. outputs, so it can be omitted and replaced with the more common node: from(“jms:queue:order:in”).to(“direct:transformOrder”, “direct:validateOrder”, “jms:queue:order:process”); Apache Camel is an open source project for implementing TIP: You can also separate each step as individual to nodes: the EIP easily in a few lines of Java code or Spring XML from(“jms:queue:order:in”) configuration. -
Apache Camel
Apache Camel USER GUIDE Version 2.0.0 Copyright 2007-2009, Apache Software Foundation 1 Table of Contents Table of Contents......................................................................... ii Chapter 1 Introduction ...................................................................................1 Chapter 2 Quickstart.......................................................................................1 Chapter 3 Getting Started..............................................................................7 Chapter 4 Architecture................................................................................ 17 Chapter 5 Enterprise Integration Patterns.............................................. 27 Chapter 6 Cook Book ................................................................................... 32 Chapter 7 Tutorials....................................................................................... 85 Chapter 8 Language Appendix.................................................................. 190 Chapter 9 Pattern Appendix..................................................................... 231 Chapter 10 Component Appendix ............................................................. 299 Index ................................................................................................0 ii APACHE CAMEL CHAPTER 1 °°°° Introduction Apache Camel is a powerful open source integration framework based on known Enterprise Integration Patterns with powerful Bean Integration. Camel lets you create the Enterprise Integration -
JPA Avancé » Licence
Formation « JPA Avancé » Licence Cette formation vous est fournie sous licence Creative Commons AttributionNonCommercial- NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Vous êtes libres de : ● Copier, distribuer et communiquer le matériel par tous moyens et sous tous formats Selon les conditions suivantes : ● Attribution : Vous devez créditer l'Oeuvre, intégrer un lien vers la licence et indiquer si des modifications ont été effectuées à l'Oeuvre. Vous devez indiquer ces informations par tous les moyens possibles mais vous ne pouvez pas suggérer que l'Offrant vous soutient ou soutient la façon dont vous avez utilisé son Oeuvre. ● Pas d’Utilisation Commerciale: Vous n'êtes pas autoriser à faire un usage commercial de cette Oeuvre, tout ou partie du matériel la composant. ● Pas de modifications: Dans le cas où vous effectuez un remix, que vous transformez, ou créez à partir du matériel composant l'Oeuvre originale, vous n'êtes pas autorisé à distribuer ou mettre à disposition l'Oeuvre modifiée. http://creativecommons.org/licenses/by-nc-nd/4.0/deed.fr Ippon Technologies © 2014 Ippon Formation en bref Pourquoi Ippon Technologies publie ses supports de formation ? Car Ippon participe à la communauté Java et Web et soutien le modèle open-source Le support théorique représente 40% du temps de formation, l'intérêt est dans les Travaux Pratiques et l'expert Ippon qui assure le cours. Nos TP sont dispensés lors des sessions de formations que nous proposons. Ippon Technologies © 2014 Pour nous contacter Pour nous contacter et participer à nos formations : - Technique : [email protected] - Commercial : [email protected] Toutes les informations et les dates de formations sont sur notre site internet et notre blog : - http://www.ippon.fr/formation - http://blog.ippon.fr Ippon Technologies © 2014 Bienvenue ● Présentation ● Organisation ● Détails pratiques Ippon Technologies © 2014 Prérequis ● Pour suivre le cours ○ Avoir de bonnes bases en Java : les JavaBeans, les Collections, JDBC.. -
An Enterprise Knowledge Network
Fogbeam Labs Cut Through The Information Fog http://www.fogbeam.com An Enterprise Knowledge Network Knowledge exists in many forms inside your organization – ranging from tacit knowledge which exists only in the minds of the users who possess it, to codified knowledge stored in databases and document repositories. Unfortunately while knowledge exists throughout the organization, it is often not easy (if even possible) to locate, use, share, and reuse existing knowledge. This results in a situation often described as “the left hand doesn't know what the right hand is doing” and damages morale as employees spend their days frustrated and complaining that “nobody knows what is going on around here”. The obstacles that hinder access to existing knowledge can be cultural, geographical, social, and/or technological. And while no technological solution can guarantee perfect knowledge-sharing, tools drawn from big data, data mining / machine learning, deep learning, and artificial intelligence techniques can improve an organization's power to generate, capture, use, share and reuse knowledge. Using technologies developed as part of the semantic web initiative, and applying the principles of linked data within the enterprise, the Fogbeam Labs Enterprise Knowledge Network approach can help your firm integrate and aggregate knowledge which is spread across your existing enterprise applications, content repositories and Intranet. An Enterprise Knowledge Network enables your firm's capabilities to: • engage in high levels of knowledge transfer and -
Open Source Used in Cisco Unity Connection 11.5 SU 1
Open Source Used In Cisco Unity Connection 11.5 SU 1 Cisco Systems, Inc. www.cisco.com Cisco has more than 200 offices worldwide. Addresses, phone numbers, and fax numbers are listed on the Cisco website at www.cisco.com/go/offices. Text Part Number: 78EE117C99-132949842 Open Source Used In Cisco Unity Connection 11.5 SU 1 1 This document contains licenses and notices for open source software used in this product. With respect to the free/open source software listed in this document, if you have any questions or wish to receive a copy of any source code to which you may be entitled under the applicable free/open source license(s) (such as the GNU Lesser/General Public License), please contact us at [email protected]. In your requests please include the following reference number 78EE117C99-132949842 Contents 1.1 ace 5.3.5 1.1.1 Available under license 1.2 Apache Commons Beanutils 1.6 1.2.1 Notifications 1.2.2 Available under license 1.3 Apache Derby 10.8.1.2 1.3.1 Available under license 1.4 Apache Mina 2.0.0-RC1 1.4.1 Available under license 1.5 Apache Standards Taglibs 1.1.2 1.5.1 Available under license 1.6 Apache STRUTS 1.2.4. 1.6.1 Available under license 1.7 Apache Struts 1.2.9 1.7.1 Available under license 1.8 Apache Xerces 2.6.2. 1.8.1 Notifications 1.8.2 Available under license 1.9 axis2 1.3 1.9.1 Available under license 1.10 axis2/cddl 1.3 1.10.1 Available under license 1.11 axis2/cpl 1.3 1.11.1 Available under license 1.12 BeanUtils(duplicate) 1.6.1 1.12.1 Notifications Open Source Used In Cisco Unity Connection -
Licensing Information User Manual Release 21C (21.1) F37966-01 March 2021
Oracle® Zero Downtime Migration Licensing Information User Manual Release 21c (21.1) F37966-01 March 2021 Introduction This Licensing Information document is a part of the product or program documentation under the terms of your Oracle license agreement and is intended to help you understand the program editions, entitlements, restrictions, prerequisites, special license rights, and/or separately licensed third party technology terms associated with the Oracle software program(s) covered by this document (the "Program(s)"). Entitled or restricted use products or components identified in this document that are not provided with the particular Program may be obtained from the Oracle Software Delivery Cloud website (https://edelivery.oracle.com) or from media Oracle may provide. If you have a question about your license rights and obligations, please contact your Oracle sales representative, review the information provided in Oracle’s Software Investment Guide (http://www.oracle.com/us/ corporate/pricing/software-investment-guide/index.html), and/or contact the applicable Oracle License Management Services representative listed on http:// www.oracle.com/us/corporate/license-management-services/index.html. Licensing Information Third-Party Notices and/or Licenses About the Third-Party Licenses The third party licensing information in Oracle Database Licensing Information User Manual, Third-Party Notices and/or Licenses and Open Source Software License Text, applies to Oracle Zero Downtime Migration. The third party licensing information included in the license notices provided with Oracle Linux applies to Oracle Zero Downtime Migration. Open Source or Other Separately Licensed Software Required notices for open source or other separately licensed software products or components distributed in Oracle Zero Downtime Migration are identified in the following table along with the applicable licensing information. -
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 -
LIST of NOSQL DATABASES [Currently 150]
Your Ultimate Guide to the Non - Relational Universe! [the best selected nosql link Archive in the web] ...never miss a conceptual article again... News Feed covering all changes here! NoSQL DEFINITION: Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open-source and horizontally scalable. The original intention has been modern web-scale databases. The movement began early 2009 and is growing rapidly. Often more characteristics apply such as: schema-free, easy replication support, simple API, eventually consistent / BASE (not ACID), a huge amount of data and more. So the misleading term "nosql" (the community now translates it mostly with "not only sql") should be seen as an alias to something like the definition above. [based on 7 sources, 14 constructive feedback emails (thanks!) and 1 disliking comment . Agree / Disagree? Tell me so! By the way: this is a strong definition and it is out there here since 2009!] LIST OF NOSQL DATABASES [currently 150] Core NoSQL Systems: [Mostly originated out of a Web 2.0 need] Wide Column Store / Column Families Hadoop / HBase API: Java / any writer, Protocol: any write call, Query Method: MapReduce Java / any exec, Replication: HDFS Replication, Written in: Java, Concurrency: ?, Misc: Links: 3 Books [1, 2, 3] Cassandra massively scalable, partitioned row store, masterless architecture, linear scale performance, no single points of failure, read/write support across multiple data centers & cloud availability zones. API / Query Method: CQL and Thrift, replication: peer-to-peer, written in: Java, Concurrency: tunable consistency, Misc: built-in data compression, MapReduce support, primary/secondary indexes, security features. -
Talend Open Studio for Big Data Release Notes
Talend Open Studio for Big Data Release Notes 6.0.0 Talend Open Studio for Big Data Adapted for v6.0.0. Supersedes previous releases. Publication date July 2, 2015 Copyleft This documentation is provided under the terms of the Creative Commons Public License (CCPL). For more information about what you can and cannot do with this documentation in accordance with the CCPL, please read: http://creativecommons.org/licenses/by-nc-sa/2.0/ Notices Talend is a trademark of Talend, Inc. All brands, product names, company names, trademarks and service marks are the properties of their respective owners. License Agreement The software described in this documentation is licensed under the Apache License, Version 2.0 (the "License"); you may not use this software except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0.html. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. This product includes software developed at AOP Alliance (Java/J2EE AOP standards), ASM, Amazon, AntlR, Apache ActiveMQ, Apache Ant, Apache Avro, Apache Axiom, Apache Axis, Apache Axis 2, Apache Batik, Apache CXF, Apache Cassandra, Apache Chemistry, Apache Common Http Client, Apache Common Http Core, Apache Commons, Apache Commons Bcel, Apache Commons JxPath, Apache -
Web Technologies in Java EE
Web Technologies in Java EE JAX-RS 2.0, JSON-P, WebSocket, JSF 2.2 $ whoami • Lukáš Fryč – Software Engineer, JBoss, Red Hat • AeroGear, (Arquillian, RichFaces) – Interests • HTML5, Web Components, AngularJS • Living and advocating Java EE (6 yrs) • Running, Hiking • Enjoying time with my family Agenda • Client-Side vs Server-Side Web • JAX-RS 2.0 RESTful Services – Origins + News in 2.0 • JSON-P Java API for JSON Processing • Java API for WebSocket • JSF 2.2 JavaServer Faces – Origins + News in 2.2 Client-Side vs Server-Side Web Architecture Client- vs. Server-Side Web • Server-Side Web (Thin Client) – Well-established approach – 90's, 00's • Client-Side Web (Thick Client) – Moden approach – SPA (Single Page Applications) – Fully leverages enhancements in web standards and protocols – 10's Server-Side Client-Side Client-Side Web Approach • Off-loading server – Stateless, Scalable • Client-Side Frameworks – AngularJS, Ember, Backbone, .......... • Standards improvements – HTML5 + Protocols • REST interfaces – Data-oriented, presentation independent Java API for RESTful Services JAX-RS 2.0 JAX-RS Origins • RESTful Principles – Assign everything an ID – Link things together – Use common methods (GET, POST, ...) – Stateless communication – OData, HATEOAS JAX-RS 1.0 Goals • POJO-Based API • HTTP Centric • Format Independence – plain/text – XML – HTML – JSON JAX-RS API • Resources – @Path • HTTP methods – @GET / @POST / @PUT / @DELETE / ... • Parameters – @PathParam / @QueryParam / ... • Media-Type – @Consumes / @Produces Demo JAX-RS Endpoint http://javaee-samples.github.io/ HTTP Method Purpose Method Meaning @GET Read, possibly cached @POST Modify or create without a known ID (modify/update) @PUT Modify or create with a known ID (create/modify) @DELETE Remove @HEAD GET with no response @OPTIONS Supported methods http://stackoverflow.com/questions/630453/put-vs-post-in-rest Parameter Injection Annotation Example @PathParam(“id”) @Path(“/consumer/{id}”) @QueryParam(“query”) GET /consumer/search? query=??? @CookieParam(“userna Cookie: ..