Dennis, do you know what’s taking the additional time? Is it the Spark Job, or oozie waiting for allocation from YARN? Do you have resource contention issue in YARN?

On Fri, Jul 19, 2019 at 12:24 AM Bartek Dobija <bartek.dobija@gmail.com> wrote:
Hi Dennis, 

Oozie jobs shouldn't take that long in a well configured cluster. Oozie allocates it's own resources in Yarn which may require fine tuning. Check if YARN gives resources to the Oozie job immediately which may be one of the reasons and change jobs priorities in YARN scheduling configuration.  

Alternatively check the Apache Airflow project which is a good alternative to Oozie. 

Regards,
Bartek 

On Fri, Jul 19, 2019, 09:09 Dennis Suhari <d.suhari@icloud.com.invalid> wrote:

Dear experts,

I am using Spark for processing data from HDFS (hadoop). These Spark application are data pipelines, data wrangling and machine learning applications. Thus Spark submits its job using YARN.
This also works well. For scheduling I am now trying to use Apache Oozie, but I am facing performqnce impacts. A Spark job which tooks 44 seconds when submitting it via CLI now takes nearly 3 Minutes.

Have you faced similar experiences in using Oozie for scheduling Spark application jobs ? What alternative workflow tools are you using for scheduling Spark jobs on Hadoop ?


Br,

Dennis

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