Oozie is a Java web application used to schedule Apache Hadoop jobs, seamlessly integrated with the Hadoop ecosystem, supporting various job types like MapReduce, Pig, and Hive. It features workflow and coordinator jobs that allow the execution of directed acyclic graphs and recurring jobs based on time and data availability. The document also provides step-by-step examples for running jobs, including MapReduce, Sqoop, and Hive processes.

1. Welcome to Oozie

2. Oozie
Oozie - Introduction
● Is a Java Web application used to schedule Apache Hadoop
jobs
● Is integrated with the rest of the Hadoop stack
● Can execute Hadoop jobs out of the box such as Java
MapReduce, Streaming MapReduce, Pig, Hive, Sqoop and
Distcp
● Can execute system specific jobs such as Java programs and
shell scripts

3. Oozie
Oozie - Jobs
● Workflow jobs
● Coordinator jobs

4. Oozie
Oozie - Jobs - Workflow Jobs
● Directed Acyclical Graphs - DAGs,
specifying a sequence of actions to
execute
DAG Examples
● Task execution systems
● Revisions in Source Control
Management Systems

5. Oozie
Oozie - Jobs - Coordinator Jobs
Recurrent Oozie workflow jobs that are triggered by time and
data availability.

6. Oozie
Oozie - Use Case
Flume
HDFS
Web ServerPig
HDFSHDFS
Spark MLlib
MySQL
Sqoop
Run daily using Oozie workflow
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7. Oozie
Oozie - Workflow - XML
<workflow-app name='wordcount-wf' xmlns="uri:oozie:workflow:0.1">
<start to='wordcount'/>
<action name='wordcount'>
<map-reduce>
<job-tracker>${jobTracker}</job-tracker>
<name-node>${nameNode}</name-node>
<configuration>
<property>
<name>mapred.mapper.class</name>
<value>org.myorg.WordCount.Map</value>
</property>
<property>
<name>mapred.reducer.class</name>
<value>org.myorg.WordCount.Reduce</value>
</property>
<property>
<name>mapred.input.dir</name>
<value>${inputDir}</value>
</property>
<property>
<name>mapred.output.dir</name>
<value>${outputDir}</value>
</property>
</configuration>
</map-reduce>
<ok to='end'/>
<error to='kill'/>
</action>
<kill name='kill'>
<message>Something went wrong: ${wf:errorCode('wordcount')}</message>
</kill/>
<end name='end'/>
</workflow-app>

8. Oozie
Oozie - Example
1. Login to Web Console
2. Copy oozie example
/usr/hdp/current/oozie-client/doc/oozie-examples.tar.gz to your home directory in web console
3. Extract files from tar
tar -zxvf oozie-examples.tar.gz
4. Edit examples/apps/map-reduce/job.properties and set:
nameNode=hdfs://ip-172-31-53-48.ec2.internal:8020
jobTracker=ip-172-31-53-48.ec2.internal:8050
queueName=default
examplesRoot=examples

9. Oozie
Oozie - Example - Continued
4. Copy the examples directory to HDFS
hadoop fs -copyFromLocal examples
5. Run the job
oozie job -oozie http://ip-172-31-13-154.ec2.internal:11000/oozie -config
examples/apps/map-reduce/job.properties -run
6. Check the job status
oozie job -oozie http://ip-172-31-13-154.ec2.internal:11000/oozie -info
job_id

10. Oozie
Oozie - Example - Using Hue
Running Sqoop import using Oozie Workflow in Hue
import --connect jdbc:mysql://ip-172-31-13-154:3306/sqoopex --username
sqoopuser --password NHkkP876rp --table widgets --target-dir
hdfs:///user/abhinav9884/widgets_import

11. Oozie
Oozie - Example - Spark
https://www.youtube.com/watch?v=w5Be9ubK_Po

12. Oozie
Oozie - Example - Hive
https://www.youtube.com/watch?v=i1QW7NoAiwM

13. Oozie
Oozie - Example - Hive
https://www.youtube.com/watch?v=i1QW7NoAiwM

14. Oozie
Oozie - More Videos
Find more Oozie hands-on at:
https://www.youtube.com/results?search_quer
y=cloudxlab+oozie

15. Oozie
Oozie - Documentation
Read More at:
https://oozie.apache.org/docs/4.2.0/index.html

16. Oozie
Oozie - Actions
MapReduce Executes Java Map Reduce Job
Streaming Executes Map Reduce in Any Form
Java Runs any program
Pig Runs Pig scripts
Hive Runs hive queries
Sqoop Runs squoop - import export
Shell Runs any shell commands
SSH Runs any shell command on a remote machine
DistCp Runs distributed cp
fs Runs hdfs command - rm, mkdir,mv, chmod, touch
Email Sends email
Sub-Workflow Calls another workflow
Fork <fork name="fAct"> <path start=“p0"/></fork>

17. Oozie
Oozie - Summary
• Jobs - Workflow Jobs and Coordinator Jobs
• Use case
• MapReduce action using command line
• Sqoop action using Hue

18. Thank you!