Oozie is a workflow scheduler for Hadoop Oozie allows a user to create Directed A cyclic Graphs of workflows and these can be ran in parallel and sequential in Hadoop. It can also run plain java classes, Pig workflows and interact with the HDFS .It can run jobs sequentially and in parallel.
Major Flexibility :Start ,stop ,re-run and suspend
Oozie allows us to restart from failure
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First make a Hadoop job and make sure that it works Make a jar out of classes and then make a workflow.xml file and copy all of the job configuration properties in to the xml file.
Input readers and writers
mappers and reducers
job specific arguments
It is necessary to connect workflow jobs that run regularly, but at different time intervals. The outputs of multiple subsequent runs of a workflow become the input to the next workflow. Chaining together these workflows result it is referred as a data application pipeline.
$ oozie job -oozie http://172.20.95.107:11000(oozie server node)/oozie -config job.properties -run
This will give the job id.
To know the status: $ oozie job -oozie http://172.20.95.107:11000(oozie server node)/oozie -info <job id>
Writing a custom Action Executor
<start to=“[NODE-‐NAME]” />
<message>“[A custom message]”</message>
— A fork node splits one path of execution into multiple concurrent paths of execution.
— A join node waits until every concurrent execution path of a previous fork node arrives to it.
— The fork and join nodes must be used in pairs. The join node assumes concurrent execution paths are children of the same fork node.
<path start=”[NODE-NAME]” />
<path start=”[NODE-NAME]” />
<join name=”[JOIN-NODE-NAME]” to=”[NODE-NAME]” />
Decision Nodes are switch statements that will run different jobs based on the outcomes of an expression.
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