In this blog, we’ll start with the basics of Apache Oozie. Following may be a detailed explanation about Oozie alongside a couple of examples and screenshots for better understanding.

What is Apache Oozie?

Apache Oozie may be a scheduler system to run and manage Hadoop jobs during a distributed environment. It allows to mix multiple complex jobs to be run during a sequential order to realize a much bigger task. Within a sequence of task, two or more jobs also can be programmed to run parallel to every other.

One of the most advantages of Oozie is that it’s tightly integrated with Hadoop stack supporting various Hadoop jobs like Hive, Pig, Sqoop also as system-specific jobs like Java and Shell.

Oozie is an Open-Source Java Web-Application available under Apache license 2.0. it’s liable for triggering the workflow actions, which successively uses the Hadoop execution engine to truly execute the task. Hence, Oozie is in a position to leverage the prevailing Hadoop machinery for load balancing, fail-over, etc.

Oozie detects completion of tasks through callback and polling. When Oozie starts a task, it provides a singular callback HTTP URL to the task, and notifies that URL when it’s complete. If the task fails to invoke the callback URL, Oozie can poll the task for completion.

Following three types of jobs are common in Oozie −

Oozie Workflow Jobs− These are represented as Directed Acyclic Graphs (DAGs) to specify a sequence of actions to be executed.
Oozie Coordinator Jobs− These consist of workflow jobs triggered by time and data availability.
Oozie Bundle− These are often mentioned as a package of multiple coordinator and workflow jobs.

A sample workflow with Controls (Start, Decision, Fork, Join and End) and Actions (Hive, Shell, Pig) will appear as if the subsequent diagram −

Workflow will always start with a Start tag and end with an End tag.

Use-Cases of Apache Oozie

Apache Oozie is employed by Hadoop system administrators to run complex log analysis on HDFS. Hadoop Developers use Oozie for performing ETL operations on data during a sequential order and saving the output during a specified format (Avro, ORC, etc.) in HDFS.

In an enterprise, Oozie jobs are scheduled as coordinators or bundles.

Oozie Editor

Before we dive into Oozie let’s have a quick look at the available editors for Oozie.

Most of the time, you won’t need an editor and can write the workflows using any popular text editors (like Notepad++, Sublime or Atom) as we’ll be doing during this tutorial.

But as a beginner it makes some sense to make a workflow by the drag and drop method using the editor then see how the workflow gets generated. Also, to map GUI with the particular workflow.xml created by the editor. this is often the sole section where we’ll discuss about Oozie editors and won’t use it in our tutorial.

The most popular among Oozie editors is Hue.

Hue Editor for Oozie

This editor is extremely handy to use and is out there with most Hadoop vendors’ solutions.

The following screenshot shows an example workflow created by this editor.

You can drag and drop controls and actions and add your job inside these actions.

A good resource to learn more on this subject −

http://gethue.com/new-apache-oozie-workflow-coordinator-bundle-editors/

Oozie Eclipse Plugin (OEP)

Oozie Eclipse plugin (OEP) is an Eclipse plugin for editing Apache Oozie workflows graphically. it’s a graphical editor for editing Apache Oozie workflows inside Eclipse.

Composing Apache Oozie workflows is becoming much simpler. It becomes a matter of drag-and-drop, a matter of connecting lines between the nodes.

The following screenshots are samples of OEP.

To learn more on OEP, you shall visit http://oep.mashin.io/

So, this brings us to the end of blog. This Tecklearn ‘Basics of Apache Oozie and Oozie Editors’ helps you with commonly asked questions if you are looking out for a job in Apache oozie and Big Data Hadoop Testing.

If you wish to learn Oozie and build a career in Big Data Hadoop domain, then check out our interactive, Big Data Hadoop Testing Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/big-data-hadoop-testing/

BigData Hadoop Testing Training

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Big Data analysis is emerging as a key advantage in business intelligence for many organizations. Hadoop testing training will provide you with the right skills to detect, analyse and rectify errors in Hadoop framework. You will be trained in the Hadoop software, architecture, MapReduce, HDFS and various components like Sqoop, Flume and Oozie. With this Hadoop testing training you will also be fully equipped with experience in various test case scenarios, proof of concepts implementation and real-world scenarios. It is a comprehensive Hadoop Big Data training course designed by industry experts considering current industry job requirements to help you learn Big Data Hadoop Testing.

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What you will Learn in this Course?

Introduction to Hadoop

The Case for Apache Hadoop
Why Hadoop?
Core Hadoop Components
Fundamental Concepts

HDFS

HDFS Features
Writing and Reading Files
NameNode Memory Considerations
Overview of HDFS Security
Using the Namenode Web UI
Using the Hadoop File Shell

Getting Data into HDFS

Ingesting Data from External Sources with Flume
Ingesting Data from Relational Databases with Sqoop
REST Interfaces
Best Practices for Importing Data

Hadoop Testing

Hadoop Application Testing
Roles and Responsibilities of Hadoop Testing Professional
Framework MRUnit for Testing of MapReduce Programs
Unit Testing
Test Execution
Test Plan Strategy and Writing Test Cases for Testing Hadoop Application

Big Data Testing

BigData Testing
Unit Testing
Integration Testing
Functional Testing
Non-Functional Testing
Golden Data Set

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Building and Set up
Testing SetUp
Solary Server
Non-Functional Testing
Longevity Testing
Volumetric Testing

Security Testing

Security Testing
Non-Functional Testing
Hadoop Cluster
Security-Authorization RBA
IBM Project

Automation Testing

Query Surge Tool

Oozie

Why Oozie
Installation Engine
Oozie Workflow Engine
Oozie security
Oozie Job Process
Oozie terminology
Oozie bundle

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