I was using EC configuration 16+4 with 40 servers, each server has
68x10TB JBOD disks.
Glusterfs is mounted to 1000 hadoop datanodes, we were using glusterfs
as hadoop archive.
When a disk fails we did not loose write speed but read speed slows
down too much. I used glusterfs at the edge and it served its purpose.
Beware that metadata operations will be much slower as ec size increases.

Now hdfs also has EC so we replaced it with hdfs.
Our servers had 2x12 core cpus with 256GB RAM each with 2x10G bonded
interfaces. CPU is used heavily during reconstruction.

On Thu, Feb 13, 2020 at 8:44 PM Douglas Duckworth
<dod2...@med.cornell.edu> wrote:
>
> Replication would be better yes but HA isn't a hard requirement whereas the 
> most likely loss of a brick would be power.  In that case we could stop the 
> entire file system then bring the brick back up should users complain about 
> poor I/O performance.
>
> Could you share more about your configuration at that time?  What CPUs were 
> you running on bricks, number of spindles per brick, etc?
>
> --
> Thanks,
>
> Douglas Duckworth, MSc, LFCS
> HPC System Administrator
> Scientific Computing Unit
> Weill Cornell Medicine
> E: d...@med.cornell.edu
> O: 212-746-6305
> F: 212-746-8690
>
> ________________________________
> From: Serkan Çoban <cobanser...@gmail.com>
> Sent: Thursday, February 13, 2020 12:38 PM
> To: Douglas Duckworth <dod2...@med.cornell.edu>
> Cc: gluster-users@gluster.org <gluster-users@gluster.org>
> Subject: [EXTERNAL] Re: [Gluster-users] multi petabyte gluster dispersed for 
> archival?
>
> Do not use EC with small files. You cannot tolerate losing a 300TB
> brick, reconstruction will take ages. When I was using glusterfs
> reconstruction speed of ec was 10-15MB/sec. If you do not loose bricks
> you will be ok.
>
> On Thu, Feb 13, 2020 at 7:38 PM Douglas Duckworth
> <dod2...@med.cornell.edu> wrote:
> >
> > Hello
> >
> > I am thinking of building a Gluster file system for archival data.  
> > Initially it will start as 6 brick dispersed volume then expand to 
> > distributed dispersed as we increase capacity.
> >
> > Since metadata in Gluster isn't centralized it will eventually not perform 
> > well at scale.  So I am wondering if anyone can help identify that point?  
> > Ceph can scale to extremely high levels though the complexity required for 
> > management seems much greater than Gluster.
> >
> > The first six bricks would be a little over 2PB of raw space.  Each server 
> > will have 24 7200 RPM NL-SAS drives sans RAID.  I estimate we would max out 
> > at about 100 million files within these first six servers, though that can 
> > be reduced by having users tar their small files before writing to Gluster. 
> >   I/O patterns would be sequential upon initial copy with very infrequent 
> > reads thereafter.  Given the demands of erasure coding, especially if we 
> > lose a brick, the CPUs will be high thread count AMD Rome.  The back-end 
> > network would be EDR Infiniband, so I will mount via RDMA, while all bricks 
> > will be leaf local.
> >
> > Given these variables can anyone say whether Gluster would be able to 
> > operate at this level of metadata and continue to scale?  If so where could 
> > it break, 4PB, 12PB, with that being defined as I/O, with all bricks still 
> > online, breaking down dramatically?
> >
> > Thank you!
> > Doug
> >
> > --
> > Thanks,
> >
> > Douglas Duckworth, MSc, LFCS
> > HPC System Administrator
> > Scientific Computing Unit
> > Weill Cornell Medicine
> > E: d...@med.cornell.edu
> > O: 212-746-6305
> > F: 212-746-8690
> >
> > ________
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