Hi, Alex,
Yes, I can see the link points to the slave machine when I hover on the
Download button and stdout/stderr can be downloaded. So do you mean it is
expected/designed that clicking on 'stdout/stderr' themselves will not show
you anything? Thanks!
Cheers,
Dan
2015-01-26 7:44 GMT-06:00
(looks like the list didn't like a HTML table on the previous email. My
excuses for any duplicates)
Hi,
We are observing with certain regularity that our Spark jobs, as Mesos
framework, are hoarding resources and not releasing them, resulting in
resource starvation to all jobs running on the
Hello
just in case, which internet browser are you using?
Do you have installed any extensions (NoScript, Ghostery, ...) that could
prevent the display /statis/pailer display?
I personnaly use NoScript with Firefox, and i have to turn it off on all
@IP of our cluster to correctly access slave
Those RPMs are built for CentOS 6 i think.
For testing, you can get it to start up by just dropping in a symlink :
/lib64/libsasl2.so.2 - /lib64/libsasl2.so.3
On 26 January 2015 at 01:33, Yu Wenhua s...@yuwh.net wrote:
[root@zone1_0 ~]# uname -a
Linux zone1_0 3.10.0-123.el7.x86_64 #1 SMP
Itamar,
you are right, Mesos executor and containerizer cannot distinguish
between busy and stuck processes. However, since you use your own
custom executor, you may want to implement a sort of health checks. It
depends on what your task processes are doing.
There are hundreds of reasons why an
For a few releases now, we've had parity on master and slave between the
old metrics endpoints (/stats.json) and the new endpoint
(/metrics/snapshot). As per MESOS-2058
https://issues.apache.org/jira/browse/MESOS-2058, the old endpoints will
be deprecated in 0.23.
0.22 will be released with a
The flag was deprecated in 0.18.0; it was still accepted but ignored. The
flag will be removed in 0.22 and it will no longer be accepted by the slave.
Please remove this flag from any configuration.
https://issues.apache.org/jira/browse/MESOS-2184
Hi Jörn,
A memory leak on the job would be contained within the resources reserved
for it, wouldn't it?
And the job holding resources is not always the same. Sometimes it's one of
the Streaming jobs, sometimes it's a heavy batch job that runs every hour.
Looks to me that whatever is causing the
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