Handling an SQLite database in Android implies challenges like a lot of boilerplate code, database operations on the main thread, queries checked at runtime and especially unmaintainable code. At Google I/O 2017, the Android team launched Room, an SQLite object mapper, that provides a set of components and features that will solve all these challenges and will help us, the developers, to have a better experience when using a database in our app.
The presentation will include examples about how to use the main components from Room (@Entity, @Dao, @Database), how to handle the relations between the entities, how to use the (observable) queries and not run database operations on the main thread. Also, we will discover more details about the migration support, compile time query verification and what’s happening behind the scenes.
JUG Berlin Brandenburg: What's new in Java EE 7?gedoplan
Java EE 7 includes many new features and specifications such as JSF 2.2 with new functionality like faces flows, resource library contracts, and HTML 5 friendly markup. JPA 2.1 adds features like converters, enhanced JPQL and criteria queries, CDI injection in entity listeners, and entity graphs. CDI 1.1 enhances bean discovery and enables interceptors, decorators, and alternatives globally with priorities. Other additions are JSON support and client APIs in JAX-RS, and concurrency utilities, batch processing, and WebSockets. GlassFish 4 and WildFly 8 are reference platforms that implement the new Java EE 7 specifications.
The document discusses the history and future of object-relational mapping (ORM) technologies for .NET applications. It provides an overview of Microsoft's ORM strategies over the years, including LINQ to SQL and the ADO.NET Entity Framework. The Entity Framework is now Microsoft's strategic ORM and supports many databases. The document outlines upcoming improvements to the Entity Framework in areas like modeling, queries, and consumption.
The document provides an agenda and overview of Hibernate, an object-relational mapping tool. It discusses problems with traditional programming to relational databases and EJB2 persistence. Hibernate is presented as a solution that allows working with objects instead of tables and provides object querying, associations, inheritance mapping, and transactions. The document outlines Hibernate's mapping strategies, basic operations, querying methods like HQL and criteria, and alternatives like TopLink and iBatis.
JDBC provides an API for accessing databases from Java that simplifies development, supports metadata access, and allows connection pooling. It includes interfaces for application writers and driver writers, with popular drivers available for databases like Oracle, MySQL, and SQL Server. JDBC drivers can be Type 1 (JDBC-ODBC bridge), Type 2 (partial JDBC), Type 3 (pure Java for middleware), or Type 4 (direct connection).
This document discusses React, a JavaScript library for building user interfaces. It provides an overview of React concepts like components, props, state, lifecycle methods, and the virtual DOM. Components are the basic building blocks and can be composed to build complex UIs. Data flows unidirectionally from parent to child components via props, while state is local and mutable. The virtual DOM allows React to efficiently update the real DOM by comparing component trees.
The document provides an overview of the Java Persistence API (JPA). It describes JPA as an API for managing Plain Old Java Objects (POJOs) and mapping their state and relationships to a relational database. It discusses key JPA concepts like entities, the entity manager, queries, object-relational mapping, and common annotations.
The document discusses the Data Access Object (DAO) pattern in J2EE applications. The DAO pattern separates business logic from data access logic. A DAO provides a common interface to access a data source. The DAO encapsulates data source access and manages data transfer objects (DTOs) that are used to exchange data between business objects and the DAO. Sample code illustrates a DAO interface, implementation, DTO, and client using the DAO to access inventory data without coupling to the specific data source implementation.
Presentation given at OSCON 2009 and PostgreSQL West 09. Describes SQL solutions to a selection of object-oriented problems:
- Extensibility
- Polymorphism
- Hierarchies
- Using ORM in MVC application architecture
These slides are excerpted from another presentation, "SQL Antipatterns Strike Back."
JUG Berlin Brandenburg: What's new in Java EE 7?gedoplan
Java EE 7 includes many new features and specifications such as JSF 2.2 with new functionality like faces flows, resource library contracts, and HTML 5 friendly markup. JPA 2.1 adds features like converters, enhanced JPQL and criteria queries, CDI injection in entity listeners, and entity graphs. CDI 1.1 enhances bean discovery and enables interceptors, decorators, and alternatives globally with priorities. Other additions are JSON support and client APIs in JAX-RS, and concurrency utilities, batch processing, and WebSockets. GlassFish 4 and WildFly 8 are reference platforms that implement the new Java EE 7 specifications.
The document discusses the history and future of object-relational mapping (ORM) technologies for .NET applications. It provides an overview of Microsoft's ORM strategies over the years, including LINQ to SQL and the ADO.NET Entity Framework. The Entity Framework is now Microsoft's strategic ORM and supports many databases. The document outlines upcoming improvements to the Entity Framework in areas like modeling, queries, and consumption.
The document provides an agenda and overview of Hibernate, an object-relational mapping tool. It discusses problems with traditional programming to relational databases and EJB2 persistence. Hibernate is presented as a solution that allows working with objects instead of tables and provides object querying, associations, inheritance mapping, and transactions. The document outlines Hibernate's mapping strategies, basic operations, querying methods like HQL and criteria, and alternatives like TopLink and iBatis.
JDBC provides an API for accessing databases from Java that simplifies development, supports metadata access, and allows connection pooling. It includes interfaces for application writers and driver writers, with popular drivers available for databases like Oracle, MySQL, and SQL Server. JDBC drivers can be Type 1 (JDBC-ODBC bridge), Type 2 (partial JDBC), Type 3 (pure Java for middleware), or Type 4 (direct connection).
This document discusses React, a JavaScript library for building user interfaces. It provides an overview of React concepts like components, props, state, lifecycle methods, and the virtual DOM. Components are the basic building blocks and can be composed to build complex UIs. Data flows unidirectionally from parent to child components via props, while state is local and mutable. The virtual DOM allows React to efficiently update the real DOM by comparing component trees.
The document provides an overview of the Java Persistence API (JPA). It describes JPA as an API for managing Plain Old Java Objects (POJOs) and mapping their state and relationships to a relational database. It discusses key JPA concepts like entities, the entity manager, queries, object-relational mapping, and common annotations.
The document discusses the Data Access Object (DAO) pattern in J2EE applications. The DAO pattern separates business logic from data access logic. A DAO provides a common interface to access a data source. The DAO encapsulates data source access and manages data transfer objects (DTOs) that are used to exchange data between business objects and the DAO. Sample code illustrates a DAO interface, implementation, DTO, and client using the DAO to access inventory data without coupling to the specific data source implementation.
Presentation given at OSCON 2009 and PostgreSQL West 09. Describes SQL solutions to a selection of object-oriented problems:
- Extensibility
- Polymorphism
- Hierarchies
- Using ORM in MVC application architecture
These slides are excerpted from another presentation, "SQL Antipatterns Strike Back."
The document discusses Hibernate, an object-relational mapping tool that transforms data between object representation and relational databases. It describes Hibernate's architecture, important definitions like SessionFactory and Session, configuration options including programmatic and XML configuration, mapping declarations, and persistent classes.
- Angular modules help organize an application into blocks of related functionality. Modules declare components, directives, pipes and services that belong to that module.
- There are different types of modules like root modules, feature modules, and shared modules. The root module launches the app. Feature modules extend functionality. Shared modules contain reusable constructs.
- Modules can import and export specific constructs to make them available to other modules. Services declared in a module are singletons app-wide unless the module is lazy loaded. Core modules contain global services imported by the root module only.
The document discusses object-relational mapping and Hibernate. It describes common object-relational mismatches including problems of granularity, subtypes, associations, and data navigation. It then provides an overview of Hibernate and JPA, how to start a Hibernate project, POJOs, Hibernate APIs, configuration, annotations, identifier generators, dynamic SQL generation, immutable entities, property access strategies, generated property values, default property values, entities vs value types, and mapping of collection properties.
Designing an extensible, flexible schema that supports user customization is a common requirement, but it's easy to paint yourself into a corner.
Examples of extensible database requirements:
- A database that allows users to declare new fields on demand.
- Or an e-commerce catalog with many products, each with distinct attributes.
- Or a content management platform that supports extensions for custom data.
The solutions we use to meet these requirements is overly complex and the performance is terrible. How should we find the right balance between schema and schemaless database design?
I'll briefly cover the disadvantages of Entity-Attribute-Value (EAV), a problematic design that's an example of the antipattern called the Inner-Platform Effect, That is, modeling an attribute-management system on top of the RDBMS architecture, which already provides attributes through columns, data types, and constraints.
Then we'll discuss the pros and cons of alternative data modeling patterns, with respect to developer productivity, data integrity, storage efficiency and query performance, and ease of extensibility.
- Class Table Inheritance
- Serialized BLOB
- Inverted Indexing
Finally we'll show tools like pt-online-schema-change and new features of MySQL 5.6 that take the pain out of schema modifications.
GlassFish is the open source application server that implements the Java EE platform, and version 3 will include new features from Java EE 6 like profiles, pruning of older technologies, and improved extensibility and ease of development for web applications through annotations and simplified packaging. GlassFish version 2 currently provides high performance, clustering, web and RESTful services, and integration with frameworks and tools to simplify development of enterprise Java applications.
Hibernate inheritance and relational mappings with examplesEr. Gaurav Kumar
Topics included in presentation:
1. Hibernate mappings.
2. Type of mappings(Bidirectional and Unidirectional)
a. One to Many
b. One to one
c. Many to many
3. Inheritance in Hibernate
a. table per class hierarchy
b. table per subclass
c. table per concrete class
The document discusses modern Android development best practices and libraries. It recommends using libraries like ButterKnife, Otto event bus, Retrofit, Dagger 2, and Picasso. It also discusses implementing Material Design principles and shared element transitions. The recommended design pattern is Model-View-Presenter. The document promotes two apps developed with these techniques.
Data Migrations in the App Engine DatastoreRyan Morlok
Data migration is a core problem when dealing with web frameworks. Rails and Django have their own built-in migration tools to help you manage data, but with Google Cloud Datastore, things are bit more manual. This presentation walks through several techniques and Python examples that leverage deferred tasks or map reduce to keep the data for your app consistent with the state of your code.
Cauê Ferreira, Android Developer do Moip Pagamentos, sala sobre Android Clean Architecture no Android DevConference 2016.
Saiba mais em http://androidconference2016.imasters.com.br/
JDBC is an API that allows Java programs to connect to databases. It provides methods for establishing a connection, executing SQL statements, and retrieving results. The basic steps are to load a database driver, connect to the database, create statements to send queries and updates, get result sets, and close connections. JDBC supports accessing many types of data sources and provides metadata about the database schema.
This document provides an overview of Hibernate, an object-relational mapping tool for Java. It begins with a list of topics covered and then defines what Hibernate and JDBC are. It describes the Hibernate architecture including configuration, sessions, and mapping. It also discusses annotations, HQL, caching and batch processing. The document provides details on configuring Hibernate with different databases as well as mapping files and object-relational mappings. It explains the use of annotations, HQL, criteria queries, and native SQL with Hibernate.
This document provides an introduction to object-relational mapping (ORM) and NHibernate. It discusses ORM techniques for converting data between object-oriented programming languages and relational databases. The document then provides an overview of NHibernate, an open source ORM framework for .NET, including its basic concepts, configuration, querying capabilities, and additional reading.
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 document provides an overview of DataFX, a JavaFX framework that facilitates interaction between JavaFX applications and enterprise data. It discusses how DataFX handles reading external data sources via protocols like REST, SSE, and WebSockets. It also covers how DataFX integrates with JavaFX concepts like Observables and leverages the concurrency API to avoid blocking the JavaFX application thread. Additionally, it introduces the Flow API for defining navigation between views and linking controller actions. Finally, it mentions related projects in DataFX Labs for validation, EJB support, and feature toggling.
This document provides an overview of Apache iBatis, an object-relational mapping tool for Java. It discusses why iBatis was created as a lighter-weight alternative to full-featured ORM solutions. The document then covers the basic steps to use iBatis, including writing Java objects, mapping configurations, database configurations, and application code. It also discusses key iBatis concepts like parameterized queries, result mappings, and using primitive types, beans, maps, or inline parameters.
WOdka is a WebObjects framework that was originally developed in Japan. It includes several frameworks like AuditTrail, JQueryMobileD2W, and ModernistD2W. WOdka has a unified dashboard for developers and administrators. It provides features like logical delete, roles and permissions, and integration with NotificationCenter. WOdka supports modern techniques like CSS3, multi-language, and REST. It is actively developed and maintained by developers in Japan and internationally.
The document discusses improving the Data Access Object (DAO) design pattern implementation in a project using JDBC for database connectivity. It describes how the current DAO implementation creates a new Driver object on every request, which is inefficient. It recommends using the DriverManager class instead to manage a single Driver instance and create connections. The DriverManager acts as a factory class to centralize the connection creation code and avoid multiple Driver instances, improving performance.
Angular is a web application framework developed in 2009. It allows developers to create single page applications using HTML enhanced with Angular specific directives and by associating angular components like controllers, services and filters with HTML. The document provides an overview of key Angular concepts like controllers, services, filters and routing and how they are used to build interactive single page applications. It also demonstrates how to make HTTP requests to backend services and handle promises using the $http service and $q.
This document provides an introduction and overview of Struts, an MVC framework for Java web applications. It discusses Struts' main components and design patterns, including:
- Struts acts as an MVC framework, providing utilities for web app development using the MVC pattern.
- The framework has 3 main components - Controller, View, and Model.
- Struts uses the standard MVC design of separating data, presentation, and business logic into separate but interacting elements.
Esta charla comprende las lecciones aprendidas convirtiendo la app de Android de Teambox (una app repleta de deuda técnica y con un alto nivel de acoplamiento entre clases), en la versión actual de Redbooth, que intenta cumplir la arquitectura Hexagonal y los principios SOLID. Durante la exposición explicaremos como fuimos desenredando el código paso a paso; como aplicamos por partes los conceptos de la arquitectura hexagonal; como dejamos de lado componentes del framework de Android que dificultaban el mantenimiento de la app; y que errores cometimos, como los solucionamos y como se podrían haber evitado.
The Best Way to Become an Android Developer Expert with Android JetpackAhmad Arif Faizin
This document discusses how to become an expert Android developer using Android Jetpack. It recommends using Android Jetpack, which is a collection of components and libraries that make it easier to build Android apps. It describes some key components of Jetpack like architecture components like ViewModel and LiveData for lifecycle-aware data management. It also discusses other topics like navigation, testing, and architecture patterns that are important for Android development. The document encourages learning through online courses and emphasizes the importance of continuous learning and skills development for IT careers and the digital industry.
The document discusses Hibernate, an object-relational mapping tool that transforms data between object representation and relational databases. It describes Hibernate's architecture, important definitions like SessionFactory and Session, configuration options including programmatic and XML configuration, mapping declarations, and persistent classes.
- Angular modules help organize an application into blocks of related functionality. Modules declare components, directives, pipes and services that belong to that module.
- There are different types of modules like root modules, feature modules, and shared modules. The root module launches the app. Feature modules extend functionality. Shared modules contain reusable constructs.
- Modules can import and export specific constructs to make them available to other modules. Services declared in a module are singletons app-wide unless the module is lazy loaded. Core modules contain global services imported by the root module only.
The document discusses object-relational mapping and Hibernate. It describes common object-relational mismatches including problems of granularity, subtypes, associations, and data navigation. It then provides an overview of Hibernate and JPA, how to start a Hibernate project, POJOs, Hibernate APIs, configuration, annotations, identifier generators, dynamic SQL generation, immutable entities, property access strategies, generated property values, default property values, entities vs value types, and mapping of collection properties.
Designing an extensible, flexible schema that supports user customization is a common requirement, but it's easy to paint yourself into a corner.
Examples of extensible database requirements:
- A database that allows users to declare new fields on demand.
- Or an e-commerce catalog with many products, each with distinct attributes.
- Or a content management platform that supports extensions for custom data.
The solutions we use to meet these requirements is overly complex and the performance is terrible. How should we find the right balance between schema and schemaless database design?
I'll briefly cover the disadvantages of Entity-Attribute-Value (EAV), a problematic design that's an example of the antipattern called the Inner-Platform Effect, That is, modeling an attribute-management system on top of the RDBMS architecture, which already provides attributes through columns, data types, and constraints.
Then we'll discuss the pros and cons of alternative data modeling patterns, with respect to developer productivity, data integrity, storage efficiency and query performance, and ease of extensibility.
- Class Table Inheritance
- Serialized BLOB
- Inverted Indexing
Finally we'll show tools like pt-online-schema-change and new features of MySQL 5.6 that take the pain out of schema modifications.
GlassFish is the open source application server that implements the Java EE platform, and version 3 will include new features from Java EE 6 like profiles, pruning of older technologies, and improved extensibility and ease of development for web applications through annotations and simplified packaging. GlassFish version 2 currently provides high performance, clustering, web and RESTful services, and integration with frameworks and tools to simplify development of enterprise Java applications.
Hibernate inheritance and relational mappings with examplesEr. Gaurav Kumar
Topics included in presentation:
1. Hibernate mappings.
2. Type of mappings(Bidirectional and Unidirectional)
a. One to Many
b. One to one
c. Many to many
3. Inheritance in Hibernate
a. table per class hierarchy
b. table per subclass
c. table per concrete class
The document discusses modern Android development best practices and libraries. It recommends using libraries like ButterKnife, Otto event bus, Retrofit, Dagger 2, and Picasso. It also discusses implementing Material Design principles and shared element transitions. The recommended design pattern is Model-View-Presenter. The document promotes two apps developed with these techniques.
Data Migrations in the App Engine DatastoreRyan Morlok
Data migration is a core problem when dealing with web frameworks. Rails and Django have their own built-in migration tools to help you manage data, but with Google Cloud Datastore, things are bit more manual. This presentation walks through several techniques and Python examples that leverage deferred tasks or map reduce to keep the data for your app consistent with the state of your code.
Cauê Ferreira, Android Developer do Moip Pagamentos, sala sobre Android Clean Architecture no Android DevConference 2016.
Saiba mais em http://androidconference2016.imasters.com.br/
JDBC is an API that allows Java programs to connect to databases. It provides methods for establishing a connection, executing SQL statements, and retrieving results. The basic steps are to load a database driver, connect to the database, create statements to send queries and updates, get result sets, and close connections. JDBC supports accessing many types of data sources and provides metadata about the database schema.
This document provides an overview of Hibernate, an object-relational mapping tool for Java. It begins with a list of topics covered and then defines what Hibernate and JDBC are. It describes the Hibernate architecture including configuration, sessions, and mapping. It also discusses annotations, HQL, caching and batch processing. The document provides details on configuring Hibernate with different databases as well as mapping files and object-relational mappings. It explains the use of annotations, HQL, criteria queries, and native SQL with Hibernate.
This document provides an introduction to object-relational mapping (ORM) and NHibernate. It discusses ORM techniques for converting data between object-oriented programming languages and relational databases. The document then provides an overview of NHibernate, an open source ORM framework for .NET, including its basic concepts, configuration, querying capabilities, and additional reading.
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 document provides an overview of DataFX, a JavaFX framework that facilitates interaction between JavaFX applications and enterprise data. It discusses how DataFX handles reading external data sources via protocols like REST, SSE, and WebSockets. It also covers how DataFX integrates with JavaFX concepts like Observables and leverages the concurrency API to avoid blocking the JavaFX application thread. Additionally, it introduces the Flow API for defining navigation between views and linking controller actions. Finally, it mentions related projects in DataFX Labs for validation, EJB support, and feature toggling.
This document provides an overview of Apache iBatis, an object-relational mapping tool for Java. It discusses why iBatis was created as a lighter-weight alternative to full-featured ORM solutions. The document then covers the basic steps to use iBatis, including writing Java objects, mapping configurations, database configurations, and application code. It also discusses key iBatis concepts like parameterized queries, result mappings, and using primitive types, beans, maps, or inline parameters.
WOdka is a WebObjects framework that was originally developed in Japan. It includes several frameworks like AuditTrail, JQueryMobileD2W, and ModernistD2W. WOdka has a unified dashboard for developers and administrators. It provides features like logical delete, roles and permissions, and integration with NotificationCenter. WOdka supports modern techniques like CSS3, multi-language, and REST. It is actively developed and maintained by developers in Japan and internationally.
The document discusses improving the Data Access Object (DAO) design pattern implementation in a project using JDBC for database connectivity. It describes how the current DAO implementation creates a new Driver object on every request, which is inefficient. It recommends using the DriverManager class instead to manage a single Driver instance and create connections. The DriverManager acts as a factory class to centralize the connection creation code and avoid multiple Driver instances, improving performance.
Angular is a web application framework developed in 2009. It allows developers to create single page applications using HTML enhanced with Angular specific directives and by associating angular components like controllers, services and filters with HTML. The document provides an overview of key Angular concepts like controllers, services, filters and routing and how they are used to build interactive single page applications. It also demonstrates how to make HTTP requests to backend services and handle promises using the $http service and $q.
This document provides an introduction and overview of Struts, an MVC framework for Java web applications. It discusses Struts' main components and design patterns, including:
- Struts acts as an MVC framework, providing utilities for web app development using the MVC pattern.
- The framework has 3 main components - Controller, View, and Model.
- Struts uses the standard MVC design of separating data, presentation, and business logic into separate but interacting elements.
Esta charla comprende las lecciones aprendidas convirtiendo la app de Android de Teambox (una app repleta de deuda técnica y con un alto nivel de acoplamiento entre clases), en la versión actual de Redbooth, que intenta cumplir la arquitectura Hexagonal y los principios SOLID. Durante la exposición explicaremos como fuimos desenredando el código paso a paso; como aplicamos por partes los conceptos de la arquitectura hexagonal; como dejamos de lado componentes del framework de Android que dificultaban el mantenimiento de la app; y que errores cometimos, como los solucionamos y como se podrían haber evitado.
The Best Way to Become an Android Developer Expert with Android JetpackAhmad Arif Faizin
This document discusses how to become an expert Android developer using Android Jetpack. It recommends using Android Jetpack, which is a collection of components and libraries that make it easier to build Android apps. It describes some key components of Jetpack like architecture components like ViewModel and LiveData for lifecycle-aware data management. It also discusses other topics like navigation, testing, and architecture patterns that are important for Android development. The document encourages learning through online courses and emphasizes the importance of continuous learning and skills development for IT careers and the digital industry.
Android Architecture Components - Guy Bar on, VonageDroidConTLV
The Android Architecture Components help developers write robust Android apps by providing libraries for common patterns like lifecycles, data access, and navigation. Specifically, it introduces Room for database access, LiveData as a lifecycle-aware data holder, ViewModel for storing UI-related data, and Paging to handle pagination of large data sets efficiently from a database. These libraries work together to support best practices like separation of concerns and lifecycle-aware data management in Android apps.
Building Modern Apps using Android Architecture ComponentsHassan Abid
Android architecture components are part of Android Jetpack. They are a collection of libraries that help you design robust, testable, and maintainable apps. In this talk, We will cover LiveData, ViewModel, Room and lifecycle components. We will go through practical code example to understand modern android app architecture especially MVVM architecture.
Cleaning your architecture with android architecture componentsDebora Gomez Bertoli
This document discusses cleaning up Android architecture using Architecture Components. It begins with an overview of issues with previous approaches like callbacks between layers. It then covers how each component addresses these issues: ViewModel/LiveData for presentation, MediatorLiveData for merging repository calls in the domain layer, and Room/Paging Library for the data layer. Considerations are provided for each component regarding threading, lifecycles, and other best practices. Code examples demonstrate implementations across the layers following these guidelines.
Service Oriented Architecture in Magento 2Max Pronko
During the Magento Meetup London I've had a chance to bring a very interesting for discussion. Service Oriented Architecture in Magento 2. Feel free to share, watch and ask questions if you would like to clarify the approach.
SolidWorks World 2010 presentation by Paul Gimbel of Razorleaf. This session provides an introduction to programming with the SolidWorks API and how to work with the SolidWorks Object Model. Not a programmer? No problem. This session was designed to inspire you and guide you to get started.
Javascript and first-class citizenry: require.js & node.js
Javascript on web pages is ubiquitous and its problems are legendary. Javascript, seen as a second-class code citizen, is usually hacked together even by seasoned developers. New libraries (jQuery, prototype, backbone, knockout, underscore) and runtime tools (firebug, jasmine) look like they solve many problems - and they do. But they still leave poorly written code as just that. One key problem is that all javascript code lives globally and this results in poorly managed, tested and delivered code.
In this session, I will illustrate that we can treat javascript as a first-class citizen using with require.js and node.js: it can be modular, encapsulated and easily unit tested and added to continuous integration cycle. The dependencies between javascript modules can also be managed and packaged just like in C# and Java. In the end, we can resolve many javascript difficulties at compile time rather than waiting until runtime.
Developing a Joomla 3.x Component using RAD FOF- Part 2: Front-end + demo - J...Peter Martin
One of the new feature since Joomla 3.2 is Rapid Application Development (RAD) framework.
A Joomla component is a PHP/MySQL web application that uses Joomla's framework. You can build your components on Joomla's framework and Joomla will take care of the database connection, the design (using templates), access levels, forms (JForms), etc. Using Joomla's framework saves you a lot of work and development time. However, it can be even faster!
Most Joomla components include the same functionality: In the front-end a list of records from the database hyperlinked to pages with details of each record individually. In the back-end the component list records from the database, with a link to a form where you can change the data and save.
Using the Rapid Application Development Framework (also known as FOF (Framework On Framework)) allows you to develop a component with common functionality with far fewer lines of code.
In this presentation, Peter shows how you can use Joomla's RAD to build a simple Joomla component to manage locations and categories and present those on the front-end to visitors on a Google Map.
Contents:
* Programming a simple front-end component using FOF
* Demo with programming, github & local web environment
Android Architecture Components with KotlinAdit Lal
The document discusses the Android Architecture Components including Lifecycle, LiveData, ViewModel, Room, and Paging. Lifecycle allows observing lifecycle states and automatically responding to configuration changes. LiveData allows building data objects that notify views of data changes. ViewModel stores UI-related data to survive configuration changes. Room provides an abstraction layer over SQLite to allow for more robust database access. Paging provides efficient loading of lists and data. The components help create scalable and testable applications by isolating and decoupling concerns.
The document discusses the SOLID principles of object-oriented design, which are a set of five design guidelines for developing flexible and maintainable software. It describes each principle - Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion - and provides examples of how to apply each principle through class design. It also discusses related concepts like dependency injection, the service locator pattern, and inversion of control. The goal of SOLID is to build software that is understandable, flexible and maintainable over time.
The document discusses Entity Framework Code First concepts including entities, DbContext, DbSet, and navigation properties. It provides examples of how to map existing database tables to Code First classes using data annotations. It also demonstrates how to perform basic CRUD operations using Code First including adding, querying, updating and deleting records. The document shows how to generate a Code First model from an existing database as well as how to create an empty Code First model and map classes using data annotations and navigation properties.
Are you ready for going serverless? Spring Cloud is! With the help of a brand new Spring Cloud Function project you can write code once and reuse it as a web-endpoint, a stream handler, or simply as a serverless function deployed in cloud. In this talk, Orkhan Gasimov speaks about the features of Spring Cloud Function and explains how it helps to get more productive.
This presentation was held by Orkhan Gasimov (Digital Transformation Architect, Consultant, GlobalLogic) at GlobalLogic Kyiv Java Career Day on August 11, 2018.
Learn more: https://www.globallogic.com/ua/events/globallogic-kyiv-java-career-day
#SPSEMEA SharePoint & jQuery - What I wish I would have known a year ago..Mark Rackley
This document provides an overview of jQuery and how it can be used with SharePoint. It discusses how jQuery can be used to resolve common SharePoint issues and make applications more usable. It addresses common myths about jQuery and provides tips for development, debugging, and deployment of jQuery code in SharePoint. Examples of using jQuery with SharePoint are also demonstrated.
Лаконічні та елегантні автоматизовані тести? Безболісний (майже) тестовий стек для UI веб-додатків? Більше часу, щоб випити кави/пограти у Cuphead/ подивитись у порожнечу?
Ми поговоримо про Lombok, Vavr, Owner, чому вам варто використовувати готові рішення та як зробити тести більш лаконічними та читабельними. Вам знадобиться Vaper та/або гіроборд.
The document discusses integrating Inversion of Control (IOC) concepts into JavaScript applications. It describes how to build modular components using Asynchronous Module Definition (AMD) and CommonJS module formats. It advocates for separating components from their dependencies and connections using an application composition layer. This allows for looser coupling between components, improved testability, and more flexibility to change implementations. It also covers topics like asynchronous programming, dependency injection, and aspect-oriented programming as ways to further decouple components and manage complexity in JavaScript applications.
greenDAO is an ORM (object relational mapping) library that uses code generation to provide a higher level API for SQLite databases on Android. It generates Java classes from an entity model that allows reading and writing objects to the database instead of using raw SQL. This improves productivity by handling common database tasks like queries and transactions. The generated code avoids reflection for better performance compared to annotation-based ORMs. The library focuses on optimization through techniques like custom cursors, entity caching, and bulk operations to achieve high performance suitable for Android.
My way to clean android - Android day salamanca editionChristian Panadero
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3. If you would have the
possibility to change
something in the Android
development what will it be
that thing?
4. I don’t want to deal
with technical things.
I just want
to deliver the project.
yiğit boyar - Architecture Components
– Behind the Scenes
5.
6. I don’t want to deal
with technical things.
I just want
to deliver the project.
yiğit boyar - Architecture Components
– Behind the Scenes
7.
8. public class DatabaseHandler extends SQLiteOpenHelper {
// All Static variables
// Database Version
private static final int DATABASE_VERSION = 1;
// Database Name
private static final String DATABASE_NAME = "CountriesManager";
// Countries table name
private static final String TABLE_Countries = "Country";
// Countries Table Columns names
private static final String KEY_ID = "id";
private static final String KEY_NAME = "name";
private static final String KEY_TOWN = "town";
10. public void addCountry(Country country) {
SQLiteDatabase db = this.getWritableDatabase();
db.beginTransaction();
try {
ContentValues values = new ContentValues();
values.put(KEY_NAME, country.getName()); // Country Name
values.put(KEY_TOWN, country.getTown()); // Country Town
db.insert(TABLE_Countries, null, values);
db.setTransactionSuccessful();
} catch (Exception e) {
Log.d(TAG, "Error while trying to add country to database");
} finally {
db.endTransaction();
}
}
11. Country getCountry(int id) {
SQLiteDatabase db = this.getReadableDatabase(); Country country = null;
Cursor cursor = db.query(TABLE_Countries, new String[]{KEY_ID,
KEY_NAME, KEY_TOWN}, KEY_ID + "=?",
new String[]{String.valueOf(id)}, null, null, null, null);
try {
if (cursor != null) {
cursor.moveToFirst();
country = new Country(Integer.parseInt(cursor.getString(0)),
cursor.getString(1), cursor.getString(2));
}
} catch (Exception e) {
Log.d(TAG, "Error while trying to get countries from database");
} finally {
if (cursor != null && !cursor.isClosed()) cursor.close();
24. YES NO
Compile time
query verification
x
Migration support x
Java Query Builder
API
x
SQL Completion in
Android Studio
x
Relationships x
Architecture Components - Behind the Scenes by Yiğit Boyar
31. public class Company {
private int companyId;
private String name;
Bitmap picture;
}
32. public class Company {
private int companyId;
private String name;
Bitmap picture;
}
Company
id integer
name text
33. @Entity(tableName = "Company")
public class Company {
@PrimaryKey(autoGenerate = true)
@ColumnInfo(name = "id")
private int companyId;
@ColumnInfo(name = "name")
private String name;
@Ignore
Bitmap picture;
Company
id integer
name text
34. @Entity(tableName = "Company")
public class Company {
@PrimaryKey(autoGenerate = true)
@ColumnInfo(name = "id")
private int companyId;
@ColumnInfo(name = "name")
private String name;
@Ignore
Bitmap picture;
Company
id integer
name text
43. public class DateConverter {
@TypeConverter
public static Date toDate(Long timestamp) {
return timestamp == null ? null : new Date(timestamp);
}
@TypeConverter
public static Long toTimestamp(Date date) {
return date == null ? null : date.getTime();
}
}
Company
id integer
name text
date integer
80. @Entity(foreignKeys = @ForeignKey(entity = Company.class,
parentColumns = "id",
childColumns = "company_id",
onDelete = ForeignKey.NO_ACTION))
public class Employee {
@PrimaryKey(autoGenerate = true)
@ColumnInfo(name = "id")
private int employeeId;
@ColumnInfo(name = "name")
private String name;
@ColumnInfo(name = "company_id")
private int companyId;
81. @Relation A convenience annotation which can be used in a
Pojo to automatically fetch relation entities
82. @Entity
public class Department {
@PrimaryKey
private int id;
private int companyId;
private String name;
…
Department
id integer
name text
83. public class CompanyAndAllDepartments {
@Embedded
public Company company;
@Relation(parentColumn = "id", entityColumn = "companyId", entity = Department.class)
public List<Department> departments;
…
---------------------------------------------------------------------------------
84. public class CompanyAndAllDepartments {
@Embedded
public Company company;
@Relation(parentColumn = "id", entityColumn = "companyId", entity = Department.class)
public List<Department> departments;
…
@Dao
public interface CompanyDepartmentsDao {
@Transaction
@Query("SELECT * FROM Company WHERE id = :companyId")
CompanyAndAllDepartments loadCompanyAllDepartments(long companyId);
…
---------------------------------------------------------------------------------
89. @Query*
@Query("SELECT * FROM Company WHERE name =
:companyName")
List<Company> getCompanies(String companyName);
@Query("SELECT * FROM Company")
LiveData<List<Company>> getAllCompanies();
@Query("SELECT * FROM Company")
Flowable<List<Company>> getAllCompanies();
@RawQuery(observedEntities = Employee.class)
LiveData<List<Employee>>
getAllEmployeesWithLimit(SupportSQLiteQuery query);
java.lang.IllegalStateException: Cannot access database
on the main thread since it may potentially lock the UI
for a long period of time.
90. @Transaction
@Dao
public abstract class DepartmentDao {
@Insert
public abstract void insert(Department product);
@Delete
public abstract void delete(Department product);
@Transaction
public void insertAndDeleteInTransaction(Department
newDepartment, Department oldDepartment) {
// Anything inside this method runs in a single
transaction.
insert(newDepartment);
delete(oldDepartment);
}
}
106. // Upgrading database
@Override
public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) {
// oldVersion -> newVersion
}
“CLASSICAL”
APPRO
ACH
107.
108. final Migration MIGRATION_X_Y = new Migration(X, Y) {
@Override
public void migrate(SupportSQLiteDatabase database) {
// your code here
}
};
109. final Migration MIGRATION_X_Y = new Migration(X, Y) {
@Override
public void migrate(SupportSQLiteDatabase database) {
// your code here
}
};
RO
O
M
APPRO
ACH
110. static final Migration MIGRATION_1_2 = new Migration(1, 2) {
@Override
public void migrate(SupportSQLiteDatabase database) {
database.execSQL("ALTER TABLE Company "
+ " ADD COLUMN ref_no TEXT");
}
};
116. /**
* You can set annotation processor argument (room.schemaLocation) to tell Room to
* export the schema into a folder. Even though it is not mandatory, it is a good
* practice to have version history in your codebase and you should commit that file
* into your version control system (but don't ship it with your app!).
* */
//export schema
javaCompileOptions {
annotationProcessorOptions {
arguments = ["room.schemaLocation": "$projectDir/schemas".toString()]
}
}
117. /**
* Room will throw an IllegalStateException if you don’t provide a Migration.
* */
if (INSTANCE == null) {
INSTANCE = Room.databaseBuilder(context.getApplicationContext(),
AppDatabase.class,
"company-db")
.fallbackToDestructiveMigration()
.build();
}
118. /**
* Room will throw an IllegalStateException if you don’t provide a Migration.
* */
if (INSTANCE == null) {
INSTANCE = Room.databaseBuilder(context.getApplicationContext(),
AppDatabase.class,
"company-db")
.fallbackToDestructiveMigration()
.build();
}
119. /**
* Room will throw an IllegalStateException if you don’t provide a Migration.
* */
if (INSTANCE == null) {
INSTANCE = Room.databaseBuilder(context.getApplicationContext(),
AppDatabase.class,
"company-db")
.fallbackToDestructiveMigrationFrom(int...
startVersions)
.build();
}