Microservices with Oracle ADF Remote Regions

ADF remote regions - functionality available in the latest ADF 12c versions. ADF remote region runs on different server and content is delivered to consuming module through ADF remote region servlet. This allows to decouple large enterprise system into separate modules, each running independently on separate servers. Gained advantage - system becomes more scalable and reliable, even if several modules will be down, system will continue to be functional.

Concept of ADF remote regions, reminds (more...)

Shredding and Querying with Oracle Offline Persistence in JET

I think offline functionality topic should become a trend in the future. Its great that Oracle already provides solution for offline - Oracle Offline Persistence toolkit. This is my second post related to offline support, read previous post - Oracle Offline Persistence Toolkit - Simple GET Response Example with JET. I have tested and explained with sample app how it works to handle simple GET response offline. While today I would like to go one (more...)

Oracle JET Composite Components – Manual for JET Coder

JET Composite Components - are useful not only to build UI widgets, but also to group and simplify JET code. In this post, I will show how to wrap JET table into composite component and use all essential features, such as properties, methods, events and slots.

Sample app code is available on GitHub. JET table is wrapped into composite component, it comes with slot for toolbar buttons:

What is the benefit to wrap such components (more...)

Say Hello to Red Samurai Contextual Chatbot with TensorFlow Deep Neural Network Learning

We are building our own enterprise chatbot. This chatbot helps enterprise users to run various tasks - invoice processing, inventory review, insurance cases review, order process - it will be compatible with various customer applications. Chatbot is based on TensorFlow Machine learning for user input processing. Machine learning helps to identify user intent, our custom algorithm helps to set conversation context and return response. Context gives control over  sequence of conversations under one topic, allowing (more...)

Avoid Blind SQL Call from ADF Task Flow Method

Keep an eye open on ADF Task Flow Method Call activities where methods from ADF Bindings are called. JDEV 12c sets deferred refresh for ADF binding iterators related to TF Method Call activities and this causing blind SQL to be executed. Blind SQL - query without bind variables.

Let me explain the use case, so that it will be more clear what I'm talking about.

Common example - TF initialization method call where data is (more...)

Oracle Offline Persistence Toolkit – Simple GET Response Example with JET

We have new tool from Oracle which can help to simplify offline logic implementation for JS apps.  In this post I will describe how to use Oracle Offline Persistence Toolkit with Oracle JET. However Offline Persistence is not constrained by JET usage only, this toolkit is available on NPM and can be integrated with other JS solutions.

I should emphasise - offline toolkit primary role is to enable mobile hybrid apps to work offline. (more...)

Linear Regression – Machine Learning with TensorFlow and Oracle JET UI Explained

Machine learning topic is definitely popular these days. Some get wrong assumptions about it - they think machine could learn by itself and its kind of magic. The truth is - there is no magic, but math behind it. Machine will learn the way math model is defined for learning process. In my opinion, the best solution is a combination of machine learning math and algorithms.  Here I could relate to chatbots keeping conversational (more...)

JET UI Shell with Dynamic Tabs Implementation

I will describe and provide sample code - how to implement dynamic tabs in Oracle JET. This is useful for module loading, default JET template comes with static tabs - this works OK for the apps with smaller number of modules. When menu structure is more complex, it makes sense to load tabs for each module dynamically, when module is selected from the menu. This allows user to focus on modules he is working on, (more...)

Recipe for JQuery Menu integration into ADF Faces

May be you are thinking to add some fresh looking element into your ADF app? I would propose JQuery menu. Advantage of such menu - it is purely client side implementation and it allows user to navigate through items really fast. Besides fast navigation, it looks great too and can be easily customized.

In this post I will describe how to achieve JQuery menu integration into ADF Faces and provide sample ADF application. I'm using (more...)

Machine Learning with Oracle JET and TensorFlow

Oracle JET works with any kind of REST service, such service could be the one coming from TensorFlow (read more in my previous post - TensorFlow Linear Regression Model Access with Custom REST API using Flask). I have implemented linear regression model with gradient descent optimizer in TensorFlow (will describe this in more detail in my next post - machine learning is all about mathematics) and consuming it in JET UI:

There is option (more...)

TensorFlow Linear Regression Model Access with Custom REST API using Flask

In my previous post - TensorFlow - Getting Started with Docker Container and Jupyter Notebook I have described basics about how to install and run TensorFlow using Docker. Today I will describe how to give access to the machine learning model from outside of TensorFlow with REST. This is particularly useful while building JS UIs on top of TensorFlow (for example with Oracle JET).

TensorFlow supports multiple languages, but most common one is Python. I (more...)

JET Composite Component in ADF Faces UI – Deep Integration

Oracle JET team doesn't recommend or support integrating JET into ADF Faces. This post is based on my own research and doesn't reflect best practices recommended by Oracle. If you want to try the same - do it on your own risk. 

All this said, I still think finding ways of further JET integration into ADF Faces is important. Next step would be to implement editable grid JET based component and integrate it into (more...)

JET 4.1.0 Composite – List Item Action and Defferred Loading

I was reviewing JET 4.1.0 features and decided to build simple composite component. Would like to share some of the items I learned.

Composite component comes with collapsible UI and action link, it implements list item, which can be rendered in any kind of parent UI container:

When item is expanded, more info is displayed:

Once user clicks on Open link, JS call is made and key from current item is printed in (more...)

TensorFlow – Getting Started with Docker Container and Jupyter Notebook

I'm studying Machine Learning and would like to share some intro experience working with TensorFlow. To get started with TensorFlow you need to install it, easiest way (at least for me) was to run TensorFlow using Docker. Read installation instructions - Installing TensorFlow.

Once TensorFlow Docker image is installed. I suggest to create container in detach mode (--detach=true) and provide port for Jupyter UI. Make sure to provide meaningful name for Docker container:

docker run (more...)

How to Setup Node.js and Oracle JET on Oracle Linux

What if you want to develop Oracle JET in Oracle Linux? Certainly this is possible - both Node.js and Oracle JET run on Oracle Linux or any other Linux distribution. If you follow Oracle JET Setup Guide, you will see Node.js is listed as prerequisite. But it may not be exactly straightforward to install Node.js on Oracle Linux. Below I will guide you through the steps.

Run command to install development (more...)

ADF Performance on Docker – Lighting Fast

ADF performance depends on server processing power. Sometimes ADF is blamed for poor performance, but in most of the cases real issue is related to poor server hardware, bad programming style or slow response from DB. Goal of this post is to show how fast ADF request could execute and give away couple of suggestions how to minimize ADF request time. This would apply to ADF application running on any environment, not only Docker. I'm (more...)

ADF Performance Story – This Time Developer Was Wrong

ADF is fast. If ADF application is slow, most likely this is related to development mistakes. I would like to tell you one story, based on my ADF tuning experience. Problem description: ADF application runs fast in DEV, when DB size is small. Same application runs slow in TEST/PROD, when DB size is large. Question - what is slow. Answer - slow means forms are loading slow. Ok, lets go to the story.

Developer decides (more...)

Essential WebLogic Tuning to Run on Docker and Avoid OOM

Read my previous post about how to run ADF on Docker - Oracle ADF on Docker Container. Docker WebLogic image is based on official Oracle Docker image for FMW infrastructure - OracleFMWInfrastructure. WebLogic container created based on this image runs, but not for long - eventually JVM process eats up all memory and OOM (out of memory) exception is thrown. This is known issue related to JVM running in Docker container - Running a JVM (more...)

Oracle ADF on Docker Container

Want to run Oracle ADF on Docker? This is possible, I will explain how. If you are new to Docker, it may require to spend significant amount of time to get started with all different bits and pieces. I will try to explain all essential steps, so that you will get up to speed quickly.

First of all you need to have DB accessible, check my previous post explaining how to run Oracle DB on (more...)

Oracle Database Docker Image in Docker Cloud (Digital Ocean)

Red Samurai is using Docker for our internal development environment. We are running Oracle Database and WebLogic server (with ADF support) on Docker Cloud. It is much easier to manager Docker containers than to maintain our own server.

In this post I will describe how to setup Oracle Database in Docker Cloud. Of course you could run Docker container locally on your machine, but main power of Docker comes with the option to be able (more...)