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Interpreting Number of Pending containers in Ambari Yarn UI

Expert Contributor


Here are some stats before the question:

From Ambari -> YARN -> Stats:

Number of available containers : 1000+

Number of YARN applications running : 22 ( out of which 18 are Hive-Tez based)

Number of allocated containers : 780

Number of containers pending for allocation : 12000+

My question is : When we have queue burst enabled up to 100% of cluster capacity, Why will Resource Manager not allocate containers to the pending/running job? What could be the reason that we see huge number of pending allocation ?

Is it that Tez calcuates the number of containers required for completion of the job and adds that to the pending container allocation and it gradually gets allocated when required ( like reduce stage's 3000 containers are blocked on map)?

Can any one enlighten please?


Expert Contributor

Adding experts 🙂 @Jonas Straub, @cdraper


I am far from a Yarn "expert" however my understanding of the above is that the jobs run in stages. The job itself has a good understanding of the number of containers that be will required to be launched and complete the entire job. Adding the stage 2 containers to the pending queue allows for pre-warming of containers so as a stage 1 task finishes its resulting data can be past to a pre-warmed container (shaving a small amount of time from execution) for a stage 2 task.

A job with several stages cannot start the stage 2 containers until the data set from stage 1 is complete thats why the containers are still pending.

I hope someone can allobrate or correct me on this answer if not entirley correct.

; ;