Spring Boot Starter Cache Example
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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. -
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.. -
High Performance with Distributed Caching
High Performance with Distributed Caching Key Requirements For Choosing The Right Solution High Performance with Distributed Caching: Key Requirements for Choosing the Right Solution Table of Contents Executive summary 3 Companies are choosing Couchbase for their caching layer, and much more 3 Memory-first 4 Persistence 4 Elastic scalability 4 Replication 5 More than caching 5 About this guide 5 Memcached and Oracle Coherence – two popular caching solutions 6 Oracle Coherence 6 Memcached 6 Why cache? Better performance, lower costs 6 Common caching use cases 7 Key requirements for an effective distributed caching solution 8 Problems with Oracle Coherence: cost, complexity, capabilities 8 Memcached: A simple, powerful open source cache 10 Lack of enterprise support, built-in management, and advanced features 10 Couchbase Server as a high-performance distributed cache 10 General-purpose NoSQL database with Memcached roots 10 Meets key requirements for distributed caching 11 Develop with agility 11 Perform at any scale 11 Manage with ease 12 Benchmarks: Couchbase performance under caching workloads 12 Simple migration from Oracle Coherence or Memcached to Couchbase 13 Drop-in replacement for Memcached: No code changes required 14 Migrating from Oracle Coherence to Couchbase Server 14 Beyond caching: Simplify IT infrastructure, reduce costs with Couchbase 14 About Couchbase 14 Caching has become Executive Summary a de facto technology to boost application For many web, mobile, and Internet of Things (IoT) applications that run in clustered performance as well or cloud environments, distributed caching is a key requirement, for reasons of both as reduce costs. performance and cost. By caching frequently accessed data in memory – rather than making round trips to the backend database – applications can deliver highly responsive experiences that today’s users expect. -
Thesis Artificial Intelligence Method Call Argument Completion Using
Method Call Argument Completion using Deep Neural Regression Terry van Walen [email protected] August 24, 2018, 40 pages Academic supervisors: dr. C.U. Grelck & dr. M.W. van Someren Host organisation: Info Support B.V., http://infosupport.com Host supervisor: W. Meints Universiteit van Amsterdam Faculteit der Natuurwetenschappen, Wiskunde en Informatica Master Software Engineering http://www.software-engineering-amsterdam.nl Abstract Code completion is extensively used in IDE's. While there has been extensive research into the field of code completion, we identify an unexplored gap. In this thesis we investigate the automatic rec- ommendation of a basic variable to an argument of a method call. We define the set of candidates to recommend as all visible type-compatible variables. To determine which candidate should be recom- mended, we first investigate how code prior to a method call argument can influence a completion. We then identify 45 code features and train a deep neural network to determine how these code features influence the candidate`s likelihood of being the correct argument. After sorting the candidates based on this likelihood value, we recommend the most likely candidate. We compare our approach to the state-of-the-art, a rule-based algorithm implemented in the Parc tool created by Asaduzzaman et al. [ARMS15]. The comparison shows that we outperform Parc, in the percentage of correct recommendations, in 88.7% of tested open source projects. On average our approach recommends 84.9% of arguments correctly while Parc recommends 81.3% correctly. i ii Contents Abstract i 1 Introduction 1 1.1 Previous work........................................ -
A Decision Support Model for Using an Object-Relational Mapping Tool in the Data Management Component of a Software Platform
UNIVERSITY OF UTRECHT DEPARTMENT OF INFORMATION AND COMPUTING SCIENCES A Decision Support Model for using an Object-Relational Mapping Tool in the Data Management Component of a Software Platform Rares George Sfirlogea Supervisors: dr. R.L. Jansen dr. ir. J.M.E.M. van der Werf Friday 6th February, 2015 Academic year 2014/2015 Abstract The usage of an ecosystem-based application framework gives software com- panies a competitive advantage in delivering stable, feature rich products while keeping the completion time to a minimum. It is seldom the case that a platform is selected by looking at its software architecture although it can reveal a lot of details about its limitations and functionality. The Object- Relational Mapping (ORM) tool in the data management component imposes extendability restrictions on the software platform. The software architect or developer that is responsible of making this decision is often unaware of the platform traits leading to breaking the general conventions or even consider- ing a costly rewrite of the entire application in the future. The aim of this research thesis is to create a decision support model regarding the inclusion of an ORM tool in the platform architecture and the consequences it imposes on the software platform's quality attributes. With this artefact, any individ- ual in charge with the product architecture can make a more knowledgeable decision, by aligning the platform capabilities with his data requirements. Acknowledgements I would like to express my sincere appreciation for all the people who helped this research reach its final state. With a special mention going to my thesis coordinators, the experts who agreed to be interviewed and of course my girlfriend, family and friends who put up with me during this long period of time. -
White Paper Using Hazelcast with Microservices
WHITE PAPER Using Hazelcast with Microservices By Nick Pratt Vertex Integration June 2016 Using Hazelcast with Microservices Vertex Integration & Hazelcast WHITE PAPER Using Hazelcast with Microservices TABLE OF CONTENTS 1. Introduction 3 1.1 What is a Microservice 3 2. Our experience using Hazelcast with Microservices 3 2.1 Deployment 3 2.1.1 Embedded 4 2.2 Discovery 5 2.3 Solving Common Microservice Needs with Hazelcast 5 2.3.1 Multi-Language Microservices 5 2.3.2 Service Registry 5 2.4 Complexity and Isolation 6 2.4.1 Data Storage and Isolation 6 2.4.2 Security 7 2.4.3 Service Discovery 7 2.4.4 Inter-Process Communication 7 2.4.5 Event Store 8 2.4.6 Command Query Responsibility Segregation (CQRS) 8 3. Conclusion 8 TABLE OF FIGURES Figure 1 Microservices deployed as HZ Clients (recommended) 4 Figure 2 Microservices deployed with embedded HZ Server 4 Figure 3 Separate and isolated data store per Service 6 ABOUT THE AUTHOR Nick Pratt is Managing Partner at Vertex Integration LLC. Vertex Integration develops and maintains software solutions for data flow, data management, or automation challenges, either for a single user or an entire industry. The business world today demands that every business run at maximum efficiency.T hat means reducing errors, increasing response time, and improving the integrity of the underlying data. We can create a product that does all those things and that is specifically tailored to your needs. If your business needs a better way to collect, analyze, report, or share data to maximize your profitability, we can help. -
Alfresco Enterprise on AWS: Reference Architecture October 2013
Amazon Web Services – Alfresco Enterprise on AWS: Reference Architecture October 2013 Alfresco Enterprise on AWS: Reference Architecture October 2013 (Please consult http://aws.amazon.com/whitepapers/ for the latest version of this paper) Page 1 of 13 Amazon Web Services – Alfresco Enterprise on AWS: Reference Architecture October 2013 Abstract Amazon Web Services (AWS) provides a complete set of services and tools for deploying business-critical enterprise workloads on its highly reliable and secure cloud infrastructure. Alfresco is an enterprise content management system (ECM) useful for document and case management, project collaboration, web content publishing and compliant records management. Few classes of business-critical applications touch more enterprise users than enterprise content management (ECM) and collaboration systems. This whitepaper provides IT infrastructure decision-makers and system administrators with specific technical guidance on how to configure, deploy, and run an Alfresco server cluster on AWS. We outline a reference architecture for an Alfresco deployment (version 4.1) that addresses common scalability, high availability, and security requirements, and we include an implementation guide and an AWS CloudFormation template that you can use to easily and quickly create a working Alfresco cluster in AWS. Introduction Enterprises need to grow and manage their global computing infrastructures rapidly and efficiently while simultaneously optimizing and managing capital costs and expenses. The computing and storage services from AWS meet this need by providing a global computing infrastructure as well as services that simplify managing infrastructure, storage, and databases. With the AWS infrastructure, companies can rapidly provision compute capacity or quickly and flexibly extend existing on-premises infrastructure into the cloud. -
Spring Datasource Properties Mysql
Spring Datasource Properties Mysql Braden coddle revivingly? Bad-tempered Arne tasselling unfaithfully, he weeps his heat very impishly. Ed minimized vindictively. Run the testcase, we got a green bar. So, we need to configure the timeout parameter. Need access to an account? Secrets, on the other hand, are meant for storing sensitive information and offer better security. Now we are ready to test the application. Wordpress is Super Easy and lots of themes to choose. If it is on the classpath Spring Boot, pick it up. RESTful API, so you can get everything setup right from the command line. Can you please help. This means application fails to start when scripts causes exception. Java config and properties config. Spring reads the properties defined in this file to configure your application. Reason: Failed to determine a suitable driver class. It is a Hibernate feature that control the behavior in more fine grained way. Spring Boot Profiling provide a way to segregate parts of your application. Detect your application can download our prod and it in the best way spring datasource properties mysql database dependency similar expect for my requirements. If a connection is due for validation, but has been validated previously within this interval, it will not be validated again. In the response added Employee data is sent back. Thanks for pointing that out. You also need to update your application build file to include the Spring Framework Milestone repository. Configure your application with database is the basic need of every project. Here the Postgresql database url must be loaded if everything is correct. -
An Experimental Study of the Performance, Energy, and Programming Effort Trade-Offs of Android Persistence Frameworks
An Experimental Study of the Performance, Energy, and Programming Effort Trade-offs of Android Persistence Frameworks Jing Pu Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Applications Eli Tilevich, Chair Barbara G. Ryder Francisco Servant July 1, 2016 Blacksburg, Virginia Keywords: Energy Efficiency; Performance; Programming Effort; Orthogonal Persistence; Android; Copyright 2016, Jing Pu An Experimental Study of the Performance, Energy, and Programming Effort Trade-offs of Android Persistence Frameworks Jing Pu (ABSTRACT) One of the fundamental building blocks of a mobile application is the ability to persist program data between different invocations. Referred to as persistence, this functionality is commonly implemented by means of persistence frameworks. When choosing a particular framework, Android|the most popular mobile platform—offers a wide variety of options to developers. Unfortunately, the energy, performance, and programming effort trade-offs of these frameworks are poorly understood, leaving the Android developer in the dark trying to select the most appropriate option for their applications. To address this problem, this thesis reports on the results of the first systematic study of six Android persistence frameworks (i.e., ActiveAndroid, greenDAO, Orm- Lite, Sugar ORM, Android SQLite, and Realm Java) in their application to and performance with popular benchmarks, such as DaCapo. Having measured and ana- lyzed the energy, performance, and programming effort trade-offs for each framework, we present a set of practical guidelines for the developer to choose between Android persistence frameworks. Our findings can also help the framework developers to optimize their products to meet the desired design objectives. -
Getting Started
3/29/2021 Getting Started v2.2 Guides Getting Started This page will help you get started with Hazelcast Cloud. Here are the steps to set up your first cluster in Hazelcast Cloud: 1. Register Create your account on here. A confirmation will be sent to you. When you confirm the email, your account becomes ready for use. 2. Sign-in After setting your password via the link provided by email, you can log in with your email and password here. https://docs.cloud.hazelcast.com/docs/getting-started 1/4 3/29/2021 Getting Started v2.2 Guides 2.1 Sign-in with Social Providers (Optional) You can use also use sign-in with Github and Google options in order to sign-in easily without spending your time on email verification and filling registration forms. The only thing you should do is selecting your social provider and authorizing Hazelcast Cloud for registration purposes. Then it will directly redirect you to our console. 3. Create a Cluster After successfully logging in, you can create your first cluster by clicking the + New Cluster button in the top left corner. On the New Cluster page, provide a name for your cluster. You can leave the other options https://docs.cloud.hazelcast.com/docs/getting-started 2/4 3/29/2021 Getting Started as they are. Click + Create Cluster to create and start your new cluster. v2.2 Guides Once your cluster is running and ready, you will see the Cluster Memory and Client Count charts as well as lifecycle information about the cluster. -
What's in Oracle Database 21C for Java Developers?
Business / Technical Brief What’s in Oracle Database 21c for Java Developers? New enhancements to JDBC, UCP and OJVM for Designing and Deploying Mission Critical and Cloud Native Java Applications. Updated: August 2021 Copyright © 2021, Oracle and/or its affiliates Public 1 What’s in Oracle Database 21c for Java Developers? Copyright © 2021, Oracle and/or its affiliates. Disclaimer This document in any form, software or printed matter, contains proprietary information that is the exclusive property of Oracle. Your access to and use of this confidential material is subject to the terms and conditions of your Oracle software license and service agreement, which has been executed and with which you agree to comply. This document and information contained herein may not be disclosed, copied, reproduced or distributed to anyone outside Oracle without prior written consent of Oracle. This document is not part of your license agreement nor can it be incorporated into any contractual agreement with Oracle or its subsidiaries or affiliates. This document is for informational purposes only and is intended solely to assist you in planning for the implementation and upgrade of the product features described. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described in this document remains at the sole discretion of Oracle. Due to the nature of the product architecture, it may not be possible to safely include all features described in this document without risking significant destabilization of the code. -
Hazelcast In-Memory Platform Terry Walters Sr Solutions Architect
THE LEADING IN-MEMORY COMPUTING PLATFORM Hazelcast In-Memory Platform Terry Walters Sr Solutions Architect !1 Hazelcast In-Memory Computing Platform Payment Fraud Customer Edge eCommerce BI ETL/Ingest Use Cases Processing Detection Loyalty Processing … Microservices IoT Cache AI/ML Hazelcast In-Memory Computing Platform Stream & Batch Analytical Data Store Monitoring AI/ML Processing Processing Processing Distributed Data Distributed Streaming Data-at-rest Data-in-motion System of Sources Record APIs Sensors Streams Hadoop Data Lakes … !2 In-Memory Data Grid !3 IMDG Evolution Through Time Open Client Protocol | Java | .NET | C++ | Python | Node.js | Go | HTTP/2 Clients RingBuffer | HyperLogLog | CRDTs | Flake IDs | Event Journal | CP RAFT Subsystem Data Structures Cloud Discovery SPI | Azure | AWS | PCF | OpenShift | IBM Cloud Private | Managed Services Open Cloud Platform JCache | HD Memory | Hot Restart | HotCache Caching j.u.c. | Performance | Security | Rolling Upgrades | New Man Center In-Memory Data Grid 2016 2017 2018 2019 !4 Roadmap: IMDG 3.11 New Enterprise Features Features Description Use Merkle trees to detect inconsistencies in map and cache data. Sync only the different entries after a WAN Replication Consistency consistency check, instead of sending all map and cache entries. Fine-Grained Control over Wan Allow the user finer grained control over the types of Map/Cache events that are replicated over WAN, and also Replication Events provide control as to how they should be processed when received. License Enforcement - Warnings, Grace Different ways on alerting customers/users about expiration, renewal approach. Periods, Flexible Cluster Sizes Members only License Installation Remove license check from Hazelcast IMDG clients for simplification.