Apache Oozie
Apache Oozie is an open source java web application available under apache license 2.0. It is defined as a job scheduler system designed and deployed to manage and run Hadoop Stack jobs in a distributed storage environment.
An Oozie workflow is a set of actions organized in a Directed Acyclic Graph (DAG). The task chronology, as well as the workflow's start and finish rules, are determined but the control nodes and the execution of tasks are triggered by the action nodes. It comes pre-loaded with a variety of Hadoop Ecosystem actions (including Apache MapReduce and Apache Pig), as well as system-specific jobs (such as shell scripts).
Oozie Coordinator allows you to run Oozie workflows regularly at a given time, according to data avaibility or when an event occurs. A workflow task is launched these conditions are met.
Oozie bundle is a combination of multiple coordinator and workflow jobs in which you manage their lifecycle.
- Learn more
- Official website
Related articles
Internship in Big Data infrastructure with TDP
Categories: Infrastructure, Learning | Tags: Cyber Security, DevOps, Java, Hadoop, IaC, Internship, TDP
Job Description Big Data and distributed computing is at Adaltas’ core. We support our partners in the deployment, maintenance and optimization of some of France’s largest clusters. Adaltas is also an…
By Daniel HARTY
Oct 25, 2021
Introducing Apache Airflow on AWS
Categories: Big Data, Cloud Computing, Containers Orchestration | Tags: PySpark, Learning and tutorial, Airflow, Oozie, Spark, AWS, Docker, Python
Apache Airflow offers a potential solution to the growing challenge of managing an increasingly complex landscape of data management tools, scripts and analytics processes. It is an open-source…
May 5, 2020
Clusters and workloads migration from Hadoop 2 to Hadoop 3
Categories: Big Data, Infrastructure | Tags: Slider, Erasure Coding, Rolling Upgrade, HDFS, Spark, YARN, Docker
Hadoop 2 to Hadoop 3 migration is a hot subject. How to upgrade your clusters, which features present in the new release may solve current problems and bring new opportunities, how are your current…
Jul 25, 2018
Present and future of Hadoop workflow scheduling: Oozie 5.x
Categories: Big Data, DataWorks Summit 2018 | Tags: Hadoop, Hive, Oozie, Sqoop, CDH, HDP, REST
During the DataWorks Summit Europe 2018 in Berlin, I had the opportunity to attend a breakout session on Apache Oozie. It covers the new features released in Oozie 5.0, including future features of…
May 23, 2018
Execute Python in an Oozie workflow
Categories: Data Engineering | Tags: Oozie, Elasticsearch, Python, REST
Oozie workflows allow you to use multiple actions to execute code, however doing so with Python can be a bit tricky, let’s see how to do that. I’ve recently designed a workflow that would interact…
Mar 6, 2018
Composants for CDH and HDP
Categories: Big Data | Tags: Flume, Hortonworks, Hadoop, Hive, Oozie, Sqoop, Zookeeper, Cloudera, CDH, HDP
I was interested to compare the different components distributed by Cloudera and HortonWorks. This also gives us an idea of the versions packaged by the two distributions. At the time of this writting…
By David WORMS
Sep 22, 2013
Splitting HDFS files into multiple hive tables
Categories: Data Engineering | Tags: Flume, Pig, HDFS, Hive, Oozie, SQL
I am going to show how to split a CSV file stored inside HDFS as multiple Hive tables based on the content of each record. The context is simple. We are using Flume to collect logs from all over our…
By David WORMS
Sep 15, 2013
