description Apache Oozie Overview
Apache Oozie is an Apache project that orchestrates Hadoop workflows by scheduling and monitoring MapReduce jobs, Spark applications, and other data processing tasks based on dependencies and time constraints within the Hadoop ecosystem.
help Apache Oozie FAQ
What is Apache Oozie used for?
Oozie orchestrates Hadoop workflows by scheduling and monitoring jobs such as MapReduce, Spark, Hive, and Pig based on dependencies and time triggers. It's designed specifically for the Hadoop ecosystem.
How do you define a workflow in Oozie?
Workflows are written as XML process definitions, with action nodes representing jobs and control nodes handling flow logic like forks and decisions. The workflow itself forms a directed acyclic graph (DAG).
Apache Oozie or Apache Airflow, which should I use?
Oozie is Hadoop-native, XML-configured, and tightly tied to the Hadoop ecosystem, while Apache Airflow defines pipelines as Python DAGs and works across many systems. Many newer data teams favor Airflow for its flexibility and language choice.
Does Oozie support time-based job scheduling?
Yes, Oozie coordinator jobs let you run workflows on a time frequency or when data becomes available. Bundles go a step further by grouping multiple coordinators for coordinated execution.
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