May 2015
Beginner to intermediate
272 pages
7h 22m
English
Content preview from Apache OozieBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 4. Oozie Workflow Actions
The previous chapter took us through the Oozie installation in detail. In this chapter, we will start looking at building full-fledged Oozie applications. The first step is to learn about Oozie workflows. Many users still use Oozie primarily as a workflow manager, and Oozie’s advanced features (e.g., the coordinator) are built on top of the workflow. This chapter will delve into how to define and deploy the individual action nodes that make up Oozie workflows. The individual action nodes are the heart and soul of a workflow because they do the actual processing and we will look at all the details around workflow actions in this chapter.
Workflow
As explained earlier in “A Recurrent Problem”, most Hadoop projects start simple, but quickly become complex. Let’s look at how a Hadoop data pipeline typically evolves in an enterprise. The first step in many big data analytic platforms is usually data ingestion from some upstream data source into Hadoop. This could be a weblog collection system or some data store in the cloud (e.g., Amazon S3). Hadoop DistCp, for example, is a common tool used to pull data from S3. Once the data is available, the next step is to run a simple analytic query, perhaps in the form of a Hive query, to get answers to some business question. This system will grow over time with more queries and different kinds of jobs. At some point soon, there will be a need to make this a recurring pipeline, typically a daily pipeline. The first ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.