I've experienced this same problem. Always the last stage hangs. Indeterminant.
No errors in logs. I run spark 1.5.2. Can't find an explanation. But it's
definitely a showstopper.
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-------- Original message --------
From: Ted Yu <yuzhih...@gmail.com>
Date: 01/21/2016 7:44 PM (GMT-05:00)
To: "Sanders, Isaac B" <sande...@rose-hulman.edu>
Cc: user@spark.apache.org
Subject: Re: 10hrs of Scheduler Delay
Looks like you were running on YARN.
What hadoop version are you using ?
Can you capture a few stack traces of the AppMaster during the delay and
pastebin them ?
Thanks
On Thu, Jan 21, 2016 at 8:08 AM, Sanders, Isaac B <sande...@rose-hulman.edu>
wrote:
The Spark Version is 1.4.1
The logs are full of standard fair, nothing like an exception or even
interesting [INFO] lines.
Here is the script I am using:
https://gist.github.com/isaacsanders/660f480810fbc07d4df2
Thanks
Isaac
On Jan 21, 2016, at 11:03 AM, Ted Yu <yuzhih...@gmail.com> wrote:
Can you provide a bit more information ?
command line for submitting Spark job
version of Spark
anything interesting from driver / executor logs ?
ThanksÂ
On Thu, Jan 21, 2016 at 7:35 AM, Sanders, Isaac B
<sande...@rose-hulman.edu> wrote:
Hey all,
I am a CS student in the United States working on my senior thesis.
My thesis uses Spark, and I am encountering some trouble.
I am using
https://github.com/alitouka/spark_dbscan, and to determine parameters, I am
using the utility class they supply,
org.alitouka.spark.dbscan.exploratoryAnalysis.DistanceToNearestNeighborDriver.
I am on a 10 node cluster with one machine with 8 cores and 32G of memory and
nine machines with 6 cores and 16G of memory.
I have 442M of data, which seems like it would be a joke, but the job stalls at
the last stage.
It was stuck in Scheduler Delay for 10 hours overnight, and I have tried a
number of things for the last couple days, but nothing seems to be helping.
I have tried:
- Increasing heap sizes and numbers of cores
- More/less executors with different amounts of resources.
- Kyro Serialization
- FAIR Scheduling
It doesn’t seem like it should require this much. Any ideas?
- Isaac
