The document discusses Slice, an OpenJPA module that allows JPA applications to use distributed, horizontally partitioned databases in a transparent manner. It describes how Slice works under the hood to enable features like parallel query execution across database partitions, replication of master data, and distribution policies to determine which partition a given object is stored in. The document provides examples of configuring Slice and developing distribution policies.
Java and Spring Data JPA: Easy SQL Data Access
Abstract
Presenter: Miya W. Longwe, MBA, MSE, Tech Lead, Staples, Inc, Framingham MA 01702
Accessing data repositories in various applications programming languages typically involves writing of tedious boilerplate lines of code. Some application development frameworks such as Spring have tried to make the experience more succinct by providing abstraction layers such as HibernateTemplate and JdbcTemplate, etc. Despite these APIs, the developers still spend a lot time writing repetitive code than concentrating on implementing business requirements. Developers at Spring, led by Oliver Gierke, introduced Spring Data JPA which “aims to significantly improve the implementation of data access layers by reducing the effort to the amount that's actually needed. As a developer you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically”.
Spring Data JPA provides a powerful, out-of-the-box alternative to creating your own DAO framework. You declare custom repository operations on an interface, and the framework generates dynamic implementations (not code generation) automatically, based on conventions around method names. As part of the presentation, we'll also review a demo to look at Spring Java configuration (as opposed to XML configuration), and investigate the @Profile annotation – configuration details which may make life a bit easier in various ways when setting up unit testing of our repository classes, using out-of-the-box alternative to creating DAO framework, how to create custom repositories, pagination and support for custom queries among other features.
Presenter's Bio
Miya W. Longwe is a Senior Software Engineer and Tech Lead at Staples, Inc. where he is currently working on an initiative to re-platform the company’s ecommerce architecture to offer platform-driven, modular products that can be quickly customized, enhanced, and branded as needed.
Miya has been a software professional since 1997. His 16 years software development career includes working for large companies to small startups, building solutions for enterprises and consumers, working with a broad range of technologies.
Miya Longwe is a hands-on java developer. He believes that in order to be a relevant and effective software developer one needs to remain a deeply knowledgeable, up-to-date, and productive software developer. His research interests include model-driven engineering, domain specific languages, test driven development and project risk management.
Miya graduated from the University of Malawi (Lilongwe, Malawi) and has an MBA from the University of Wales Cardiff Business School (Wales, UK) and a Masters in Software Engineering from Brandeis University (MA, USA).
Occasionally, Miya can be spotted fishing the banks of the south shore (MA) with his two boys, William and Daniel.
Spring Data Requery is alternatives of Spring Data JPA
Requery is lightweight ORM for DBMS (MySQL, PostgreSQL, H2, SQLite, Oracle, SQL Server)
Spring Data Requery provide Query By Native Query, Query By Example and Query By Property like Spring Data JPA
Spring Data Requery is better performance than JPA
Alternatives of JPA
Requery provide simple Object Mapping & Generate SQL to execute without reflection and session, so fast than JPA, simple and easy to learn.
Drools is a Rule Engine that uses the rule-based approach to implement an Expert System
The inference engine matches the rules against the facts (objects) in memory and can match the next set of rules based on the changed facts.
Please use the presentation and the source code referred in the presentation to get started on what a rule engine is and how to use JBoss Drools for inference based rules using the Java programming language.
Java and Spring Data JPA: Easy SQL Data Access
Abstract
Presenter: Miya W. Longwe, MBA, MSE, Tech Lead, Staples, Inc, Framingham MA 01702
Accessing data repositories in various applications programming languages typically involves writing of tedious boilerplate lines of code. Some application development frameworks such as Spring have tried to make the experience more succinct by providing abstraction layers such as HibernateTemplate and JdbcTemplate, etc. Despite these APIs, the developers still spend a lot time writing repetitive code than concentrating on implementing business requirements. Developers at Spring, led by Oliver Gierke, introduced Spring Data JPA which “aims to significantly improve the implementation of data access layers by reducing the effort to the amount that's actually needed. As a developer you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically”.
Spring Data JPA provides a powerful, out-of-the-box alternative to creating your own DAO framework. You declare custom repository operations on an interface, and the framework generates dynamic implementations (not code generation) automatically, based on conventions around method names. As part of the presentation, we'll also review a demo to look at Spring Java configuration (as opposed to XML configuration), and investigate the @Profile annotation – configuration details which may make life a bit easier in various ways when setting up unit testing of our repository classes, using out-of-the-box alternative to creating DAO framework, how to create custom repositories, pagination and support for custom queries among other features.
Presenter's Bio
Miya W. Longwe is a Senior Software Engineer and Tech Lead at Staples, Inc. where he is currently working on an initiative to re-platform the company’s ecommerce architecture to offer platform-driven, modular products that can be quickly customized, enhanced, and branded as needed.
Miya has been a software professional since 1997. His 16 years software development career includes working for large companies to small startups, building solutions for enterprises and consumers, working with a broad range of technologies.
Miya Longwe is a hands-on java developer. He believes that in order to be a relevant and effective software developer one needs to remain a deeply knowledgeable, up-to-date, and productive software developer. His research interests include model-driven engineering, domain specific languages, test driven development and project risk management.
Miya graduated from the University of Malawi (Lilongwe, Malawi) and has an MBA from the University of Wales Cardiff Business School (Wales, UK) and a Masters in Software Engineering from Brandeis University (MA, USA).
Occasionally, Miya can be spotted fishing the banks of the south shore (MA) with his two boys, William and Daniel.
Spring Data Requery is alternatives of Spring Data JPA
Requery is lightweight ORM for DBMS (MySQL, PostgreSQL, H2, SQLite, Oracle, SQL Server)
Spring Data Requery provide Query By Native Query, Query By Example and Query By Property like Spring Data JPA
Spring Data Requery is better performance than JPA
Alternatives of JPA
Requery provide simple Object Mapping & Generate SQL to execute without reflection and session, so fast than JPA, simple and easy to learn.
Drools is a Rule Engine that uses the rule-based approach to implement an Expert System
The inference engine matches the rules against the facts (objects) in memory and can match the next set of rules based on the changed facts.
Please use the presentation and the source code referred in the presentation to get started on what a rule engine is and how to use JBoss Drools for inference based rules using the Java programming language.
A powerful ORM tool to design data base access layer.
Fills gaps of mismatches between OOPs and RDBMS paradigm. Also maintains adequate ultra performance of database access.
An automated, configurable persistence of java objects with tables in data base.
May not be a good solution for data-centric application which uses only stored procedures to implement business logic in the database.
This talk represents the combined experience from several web development teams who have been using Symfony2 since months already to create high profile production applications. The aim is to give the audience real world advice on how to best leverage Symfony2, the current rough spots and how to work around them. Aside from covering how to implement functionality in Symfony2, this talk will also cover topics such as how to best integrate 3rd party bundles and where to find them as well as how to deploy the code and integrate into the entire server setup.
Im zweiten Teil seiner OData Session zeigt Rainer Stropek, wie man eigene OData-Provider entwickelt. In einem durchgängigen Beispiel demonstriert er, wie man erst einen LINQ-Provider und darauf aufbauend einen OData-konformen REST Service erstellt und von verschiedenen Programmiersprachen und Tools darauf zugreift. In der Session werden Grundkenntnisse von OData und LINQ vorausgesetzt.
A powerful ORM tool to design data base access layer.
Fills gaps of mismatches between OOPs and RDBMS paradigm. Also maintains adequate ultra performance of database access.
An automated, configurable persistence of java objects with tables in data base.
May not be a good solution for data-centric application which uses only stored procedures to implement business logic in the database.
This talk represents the combined experience from several web development teams who have been using Symfony2 since months already to create high profile production applications. The aim is to give the audience real world advice on how to best leverage Symfony2, the current rough spots and how to work around them. Aside from covering how to implement functionality in Symfony2, this talk will also cover topics such as how to best integrate 3rd party bundles and where to find them as well as how to deploy the code and integrate into the entire server setup.
Im zweiten Teil seiner OData Session zeigt Rainer Stropek, wie man eigene OData-Provider entwickelt. In einem durchgängigen Beispiel demonstriert er, wie man erst einen LINQ-Provider und darauf aufbauend einen OData-konformen REST Service erstellt und von verschiedenen Programmiersprachen und Tools darauf zugreift. In der Session werden Grundkenntnisse von OData und LINQ vorausgesetzt.
SQLAdria 2009 presentation's slides about our experience with Maven and SQLJ. It delves in some details about SQLJ and performance comparion between SQLJ and JDBC with prepared statements. It also shows surprising results for what concerns performances of (DB2) SQL PL procedures
This talk presents the simple yet powerful way of dependency injection as defined by the OSGi Compendium Declarative Services specification. Besides covering the basics of Declarative Services this talk also explains the many useful additions of the Declarative Services 1.1 in OSGi R 4.2.
OSGi ecosystems compared on Apache Karaf - Christian Schneidermfrancis
OSGi Community Event 2015
A look at three competing OSGi ecosystems (Declarative Services, Blueprint, CDI). Capabilities of each DI framework. Comparison of support for EE technologies like JPA, Security, SOAP and REST services, UIs. Looking into some of the recent advancements like Aries JPA 2 featuring closure based transactions, JAAS Security, JSP and JSF on OSGi. Attendees will get a good overview about the stacks as well as recommendations where each is most applicable.
As with most Java technologies, building applications with JPA or JAXB is straightforward, but performance tuning is something that takes experience. In this session we will identify key performance tuning opportunities and techniques and how the tooling provided within Eclipse and in EclipseLink can be used to identify issues and configure solutions. We will discuss optimizing the cache, queries and mappings along with optimization features available for distributed applications.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
The Art of the Pitch: WordPress Relationships and Sales
Slice: OpenJPA for Distributed Persistence
1. Scale Your JPA Applications with Distributed Database Partitions Dr. Pinaki Poddar [email_address] Session Number: D05
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5. How to obtain a Persistence Unit? Instantiate via bootstrap EntityManagerFactory construction is costly WARNING EntityManagerFactory emf = Persistence .createEntityManagerFactory( “test” ) ; InitialiContext ctx = new InitialContext(); EntityManagerFactory emf = ctx .lookup( “myEMF” ) ); Look up in JNDI @PersistenceUnit (unitName= “test” ) private EntityManagerFactory emf; Inject as a resource
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7. How to obtain a Persistence Context? EntityManager em = emf.createEntityManager() Construct from Persistence Unit @PersistenceContext private EntityManager em; Inject as a resource
8. Persistence Context manages instances in a group em1 = emf.createEntityManager(); em2 = emf.createEntityManager(); Account ID NAME AMOUNT SELECT ID,NAME FROM ACCOUNT t WHERE t.ID=1245 Persistence Unit Persistence Context Account pc1 = em1.find(Account.class,1245); Persistence Context Account pc2 = em2.find(Account.class,1245); 2347 John $ 12000.57 1245 Mary $ 34568.89
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10. Life of Persistence Context em = emf.createEntityManager(); begin(); commit(); flush(); clear(); close(); begin(); commit(); Extended Persistence Context Transactional Persistence Context Time
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12. Transaction Scaling in JPA em = emf.createEntityManager() begin() commit() flush() clear() close() begin() commit() Extended Persistence Context Transaction-scoped Persistence Context L2 Data Cache Database Transaction Time
13. Optimistic Versioning scales transaction begin(); commit(); pc1 = find(Item.class, 1234); qty:5 version: 56 Item:1234 qty:30 version: 56 Item:1234 begin(); commit(); pc2 = find(Item.class, 1234); qty:5 version: 56 Item:1234 qty:87 version: 56 Item:1234 UPDATE ITEM SET QTY=30, VERSION=57 WHERE ID=1234 AND VERSION=56 ID 1234 QTY 5 VERSION 56 ID 1234 QTY 30 VERSION 57 pc2.setQty(87); pc1.setQty(30); 1 3 4 2 5 6 7 9 8 UPDATE ITEM SET QTY=87, VERSION=57 WHERE ID=1234 AND VERSION=56 10 Optimistic Exception
21. Architectural Tiers of JPA-based service JPA-based User Application OpenJPA Standard JPA API JDBC API
22. Architectural Tiers of Slice-based service Slice-based User Application OpenJPA Standard JPA API JDBC API Slice OpenJPA is a plugabble platform
23. Features of Slice Slice-based User Application OpenJPA Standard JPA API JDBC API Slice No change to Application code or Domain Model User-defined Distribution & Replication Policy Flexible per-Slice Configuration Parallel Query Execution Heterogeneous Databases Master-based Sequence Targeted Query
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26. Persistence Unit Configuration <? xml version="1.0" encoding="UTF-8"?> < persistence xmlns=" http://java.sun.com/xml/ns/persistence " xmlns:xsi=" http://www.w3.org/2001/XMLSchema-instance " version="1.0" xsi:schemaLocation=" http://java.sun.com/xml/ns/persistence http://java.sun.com/xml/ns/persistence/persistence_1_0.xsd "> < persistence-unit name=" test “ transaction=“ RESOURCE_LOCAL ”> < provider > org.apache.openjpa.persistence.PersistenceProviderImpl </provider> < class > domain.EntityA </class> < class > domain.EntityB </class> < properties > < property name=" openjpa.ConnectionDriverName " value=" com.mysql.jdbc.Driver "/> < property name=" openjpa.ConnectionURL " value=" jdbc:mysql://localhost/test "/> < property name=" openjpa.jdbc.SynchronizeMappings " value=" buildSchema "/> < property name=" openjpa.Log " value=" SQL=TRACE "/> </ properties > </ persistence-unit > List of known Persistent types Vendor-specific configuration Governed by XML Schema JPA Provider is pluggable META-INF/persistence.xml Identified by Unit Name
30. Distribution Policy public interface DistributionPolicy { /** * Gets the name of the slice where the given newly persistent * instance will be stored. * * @param pc The newly persistent or to-be-merged object. * @param slices name of the configured slices. * @param context persistence context managing the given instance. * * @return identifier of the slice. This name must match one of the * configured slice names. * @see DistributedConfiguration#getSliceNames() */ String distribute ( Object pc, List<String> slices, Object context); } Slice will call this method while persisting or merging a root instance. The instance and its closure will be stored in the returned slice.
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34. Replication Policy public interface ReplicationPolicy { /** * Gets the name of the slices where the given newly persistent * instance will be replicated. * * @param pc The newly persistent or to-be-merged object. * @param slices name of the configured slices. * @param context persistence context managing the given instance. * * @return identifier(s) of the slice. Each name must match one of the * configured slice names. * @see DistributedConfiguration#getSliceNames() */ String[] replicate ( Object pc, List<String> slices, Object context); } Slice will call this method while persisting any @Replicated instance.
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48. Core Architectural constructs of OpenJPA EntityManager Factory BrokerFactory EntityManager Broker StoreManager JDBCStore Manager JDBC API OpenJPA Configuration creates creates delegates delegates configured by
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50. Slice extends OpenJPA by Distributed Template EntityManager Factory BrokerFactory EntityManager Broker DistributedStoreManager JDBCStore Manager JDBC API JDBCStore Manager JDBCStore Manager Distributed Configuration delegates delegates creates creates configures applies Distributed Template Pattern Not aware of partitioned Databases