Hi Theodore/Jan
Please ignore the previous mail which isn't formatted well.
We have been seeing a consistent 3% degradation in IOPS score between
5.4 and 5.10 stable kernels while running fio tests.
I'm running test case on m6g.8xlarge AWS instances using arm64. The test
involves:
1. Creating 100GB volume with IO1 500 iops. Attaching it to the instance.
2. Setup and mount fs:
mke2fs -m 1 -t ext4 -b 4096 -L /mnt /dev/nvme1n1
mount -t ext4 -o noatime,nodiratime,data=ordered /dev/nvme1n1 /mnt
3. Install fio package and run following test:
(running 16 threads doing random buffered 16kb writes on a file.
ioengine=psync, runtime=60secs)
jobs=16
blocksize="16k"
filesize=1000000
if [[ -n $1 ]]; then jobs=$1; fi
if [[ -n $2 ]]; then blocksize=$2; fi
/usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
--ioengine=psync --buffered=1 --bs=${blocksize} \
--max-jobs=${jobs} --numjobs=${jobs} --runtime=30 --thread \
--filename=file0 --filesize=${filesize} \
--fsync=1 --group_reporting --create_only=1 > /dev/null
sudo echo 1 > /proc/sys/vm/drop_caches
set -x
echo "Running with jobs=${jobs} filesize=${filesize}
blocksize=${blocksize}"
/usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
--ioengine=psync --buffered=1 --bs=${blocksize} \
--max-jobs=${jobs} --numjobs=${jobs} --runtime=60 --thread \
--filename=file0 --filesize=${filesize} \
--fsync=1 --group_reporting --time_based
After doing some kernel bisecting between we were able to pinpoint this
commit that drops the iops score by 10~15 points (~3%).
ext4: avoid unnecessary transaction starts during writeback
(6b8ed62008a49751fc71fefd2a4f89202a7c2d4d)
We see higher iops/bw/total io after reverting the commit compared to
base 5.10 kernel.
Although the average clat is higher after reverting the commit the
higher bw drives the iops score higher as seen in below fio output.
Fio output (5.10.162):
write: io=431280KB, bw=7186.3KB/s, iops=449, runt= 60015msec
clat (usec): min=6, max=25942, avg=267.76,stdev=1604.25
lat (usec): min=6, max=25943, avg=267.93,stdev=1604.25
clat percentiles (usec):
| 1.00th=[ 9], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24]
| 30.00th=[ 34], 40.00th=[ 45], 50.00th=[ 58], 60.00th=[ 70],
| 70.00th=[ 81], 80.00th=[ 94], 90.00th=[ 107], 95.00th=[ 114],
| 99.00th=[10048], 99.50th=[14016], 99.90th=[20096], 99.95th=[21888],
| 99.99th=[24448]
lat (usec) : 10=3.46%, 20=12.54%, 50=26.66%, 100=41.16%, 250=13.64%
lat (usec) : 500=0.02%, 750=0.03%, 1000=0.01%
lat (msec) : 2=0.23%, 4=0.50%, 10=0.73%, 20=0.91%, 50=0.12%
cpu : usr=0.02%, sys=0.42%, ctx=299540, majf=0, minf=0
IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
issued : total=r=0/w=26955/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
latency : target=0, window=0, percentile=100.00%, depth=1
Run status group 0 (all jobs):
WRITE: io=431280KB, aggrb=7186KB/s, minb=7186KB/s, maxb=7186KB/s,
mint=60015msec, maxt=60015msec
Disk stats (read/write):
nvme1n1: ios=0/30627, merge=0/2125, ticks=0/410990, in_queue=410990,
util=99.94%
Fio output (5.10.162 with revert):
write: io=441920KB, bw=7363.7KB/s, iops=460, runt= 60014msec
clat (usec): min=6, max=35768, avg=289.09, stdev=1736.62
lat (usec): min=6, max=35768, avg=289.28,stdev=1736.62
clat percentiles (usec):
| 1.00th=[ 8], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24],
| 30.00th=[ 36], 40.00th=[ 46], 50.00th=[ 59], 60.00th=[ 71],
| 70.00th=[ 83], 80.00th=[ 97], 90.00th=[ 110], 95.00th=[ 117],
| 99.00th=[10048], 99.50th=[14144], 99.90th=[21632], 99.95th=[25984],
| 99.99th=[28288]
lat (usec) : 10=4.13%, 20=11.67%, 50=26.59%, 100=39.57%, 250=15.28%
lat (usec) : 500=0.03%, 750=0.03%, 1000=0.03%
lat (msec) : 2=0.20%, 4=0.64%, 10=0.80%, 20=0.86%, 50=0.18%
cpu : usr=0.01%, sys=0.43%, ctx=313909, majf=0, minf=0
IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0%
submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
issued : total=r=0/w=27620/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
latency : target=0, window=0, percentile=100.00%, depth=1
Run status group 0 (all jobs):
WRITE: io=441920KB, aggrb=7363KB/s, minb=7363KB/s, maxb=7363KB/s,
mint=60014msec, maxt=60014msec
Disk stats (read/write):
nvme1n1: ios=0/31549, merge=0/2348, ticks=0/409221, in_queue=409221,
util=99.88%
Also i looked ext4_writepages latency which increases when the commit is
reverted. (This makes sense since the commit avoids unnecessary
transactions).
./funclatency ext4_writepages -->(5.10.162)
avg = 7734912 nsecs, total: 134131121171 nsecs, count: 17341
./funclatency ext4_writepages -->(5.10.162 with revert)
avg = 9036068 nsecs, total: 168956404886 nsecs, count: 18698
Looking at the journal transaction data I can see that the average
transaction commit time decreases after reverting the commit.
This probably helps in the IOPS score.
5.10.162:
cat /proc/fs/jbd2/nvme1n1-8/info --> After 1st test iteration
2143 transactions (2143 requested), each up to 8192 blocks
average:
0ms waiting for transaction
0ms request delay
0ms running transaction
0ms transaction was being locked
0ms flushing data (in ordered mode)
20ms logging transaction
20731us average transaction commit time
51 handles per transaction
1 blocks per transaction
3 logged blocks per transaction
cat /proc/fs/jbd2/nvme1n1-8/info/ --> After 2nd test iteration
4292 transactions (4292 requested), each up to 8192 blocks
average:
0ms waiting for transaction
0ms request delay
0ms running transaction
0ms transaction was being locked
0ms flushing data (in ordered mode)
20ms logging transaction
26470us average transaction commit time
51 handles per transaction
1 blocks per transaction
3 logged blocks per transaction
5.10.162 with revert:
cat /proc/fs/jbd2/nvme1n1-8/info--> After 1st test iteration
2092 transactions (2091 requested), each up to 8192 blocks
average:
0ms waiting for transaction
0ms request delay
20ms running transaction
0ms transaction was being locked
0ms flushing data (in ordered mode)
20ms logging transaction
15981us average transaction commit time
67 handles per transaction
1 blocks per transaction
2 logged blocks per transaction
/cat /proc/fs/jbd2/nvme1n1-8/info/*//--> After 2nd test iteration
4263 transactions (4262 requested), each up to 8192 blocks
average:
0ms waiting for transaction
0ms request delay
10ms running transaction
0ms transaction was being locked
0ms flushing data (in ordered mode)
20ms logging transaction
19795us average transaction commit time
65 handles per transaction
1 blocks per transaction
2 logged blocks per transaction
Looking at the commit it seems we should be avoiding unnecessary journal
transactions. This is reflected in the ext4_writepages latency.
But the transaction commit time seems to be increasing with this commit
leading to reduced IOPS. (atleast that's my theory).
Can you help look into why this commit introduces this IOPS regression?
Also any suggestions on running any more tests to isolate the issue are
welcome.
Thanks,
Rishabh
Hi!
On Wed 11-01-23 18:06:39, Bhatnagar, Rishabh wrote:
> We have been seeing a consistent 3% degradation in IOPS score between 5.4
> and 5.10 stable kernels while running fio tests.
>
> I'm running test case on m6g.8xlarge AWS instances using arm64. The test
> involves:
>
> 1. Creating 100GB volume with IO1 500 iops. Attaching it to the instance.
>
> 2. Setup and mount fs:
>
> mke2fs -m 1 -t ext4 -b 4096 -L /mnt /dev/nvme1n1
> mount -t ext4 -o noatime,nodiratime,data=ordered /dev/nvme1n1 /mnt
>
> 3. Install fio package and run following test:
> (running 16 threads doing random buffered 16kb writes on a file.
> ioengine=psync, runtime=60secs)
>
> jobs=16
> blocksize="16k"
> filesize=1000000
>
> if [[ -n $1 ]]; then jobs=$1; fi
> if [[ -n $2 ]]; then blocksize=$2; fi
>
> /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
> --ioengine=psync --buffered=1 --bs=${blocksize} \
> ??????? --max-jobs=${jobs} --numjobs=${jobs} --runtime=30 --thread \
> ??????? --filename=file0 --filesize=${filesize} \
> ??????? --fsync=1 --group_reporting --create_only=1 > /dev/null
>
> sudo echo 1 > /proc/sys/vm/drop_caches
>
> set -x
> echo "Running with jobs=${jobs} filesize=${filesize} blocksize=${blocksize}"
> /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
> --ioengine=psync --buffered=1 --bs=${blocksize} \
> ??????? --max-jobs=${jobs} --numjobs=${jobs} --runtime=60 --thread \
> ??????? --filename=file0 --filesize=${filesize} \
> ??????? --fsync=1 --group_reporting --time_based
>
> After doing some kernel bisecting between we were able to pinpoint this
> commit that drops the iops score by 10~15 points (~3%).
> ext4: avoid unnecessary transaction starts during writeback
> (6b8ed62008a49751fc71fefd2a4f89202a7c2d4d)
>
> We see higher iops/bw/total io after reverting the commit compared to base
> 5.10 kernel.
> Although the average clat is higher after reverting the commit the higher bw
> drives the iops score higher as seen in below fio output.
I expect the difference is somewhere in waiting for the journal. Can you
just check whether there's a difference if you use --fdatasync=1 instead of
--fsync=1? With this workload that should avoid waiting for the journal
because the only metadata updates are mtime timestamps in the inode.
> Fio output (5.10.162):
> write: io=431280KB, bw=7186.3KB/s, iops=449, runt= 60015msec
> clat (usec): min=6, max=25942, avg=267.76,stdev=1604.25
> lat (usec): min=6, max=25943, avg=267.93,stdev=1604.25
> clat percentiles (usec):
> | 1.00th=[ 9], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24]
> | 30.00th=[ 34], 40.00th=[ 45], 50.00th=[ 58], 60.00th=[ 70],
> | 70.00th=[ 81], 80.00th=[ 94], 90.00th=[ 107], 95.00th=[ 114],
> | 99.00th=[10048], 99.50th=[14016], 99.90th=[20096], 99.95th=[21888],
> | 99.99th=[24448]
> lat (usec) : 10=3.46%, 20=12.54%, 50=26.66%, 100=41.16%, 250=13.64%
> lat (usec) : 500=0.02%, 750=0.03%, 1000=0.01%
> lat (msec) : 2=0.23%, 4=0.50%, 10=0.73%, 20=0.91%, 50=0.12%
> cpu : usr=0.02%, sys=0.42%, ctx=299540, majf=0, minf=0
> IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0%
> submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
> complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
> issued : total=r=0/w=26955/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
> latency : target=0, window=0, percentile=100.00%, depth=1
> Run status group 0 (all jobs):
> WRITE: io=431280KB, aggrb=7186KB/s, minb=7186KB/s, maxb=7186KB/s,
> mint=60015msec, maxt=60015msec
> Disk stats (read/write):
> nvme1n1: ios=0/30627, merge=0/2125, ticks=0/410990, in_queue=410990,
> util=99.94%
>
> Fio output (5.10.162 with revert):
> write: io=441920KB, bw=7363.7KB/s, iops=460, runt= 60014msec
> clat (usec): min=6, max=35768, avg=289.09, stdev=1736.62
> lat (usec): min=6, max=35768, avg=289.28,stdev=1736.62
> clat percentiles (usec):
> | 1.00th=[ 8], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24],
> | 30.00th=[ 36], 40.00th=[ 46], 50.00th=[ 59], 60.00th=[ 71],
> | 70.00th=[ 83], 80.00th=[ 97], 90.00th=[ 110], 95.00th=[ 117],
> | 99.00th=[10048], 99.50th=[14144], 99.90th=[21632], 99.95th=[25984],
> | 99.99th=[28288]
> lat (usec) : 10=4.13%, 20=11.67%, 50=26.59%, 100=39.57%, 250=15.28%
> lat (usec) : 500=0.03%, 750=0.03%, 1000=0.03%
> lat (msec) : 2=0.20%, 4=0.64%, 10=0.80%, 20=0.86%, 50=0.18%
> cpu : usr=0.01%, sys=0.43%, ctx=313909, majf=0, minf=0
> IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0%
> submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
> complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
> issued : total=r=0/w=27620/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
> latency : target=0, window=0, percentile=100.00%, depth=1
> Run status group 0 (all jobs):
> WRITE: io=441920KB, aggrb=7363KB/s, minb=7363KB/s, maxb=7363KB/s,
> mint=60014msec, maxt=60014msec
> Disk stats (read/write):
> nvme1n1: ios=0/31549, merge=0/2348, ticks=0/409221, in_queue=409221,
> util=99.88%
>
>
> Also i looked ext4_writepages latency which increases when the commit is
> reverted. (This makes sense since the commit avoids unnecessary
> transactions).
>
> ./funclatency ext4_writepages -->(5.10.162)
> avg = 7734912 nsecs, total: 134131121171 nsecs, count: 17341
>
> ./funclatency ext4_writepages -->(5.10.162 with revert)
> avg = 9036068 nsecs, total: 168956404886 nsecs, count: 18698
>
>
> Looking at the journal transaction data I can see that the average
> transaction commit time decreases after reverting the commit.
> This probably helps in the IOPS score.
So what the workload is doing is:
write()
inode lock
dirty 16k of page cache
dirty inode i_mtime
inode unlock
fsync()
walk all inode pages, write dirty ones
wait for all pages under writeback in the inode to complete IO
force transaction commit and wait for it
Now this has the best throughput (and the worst latency) if all 16
processes work in lockstep - i.e., like:
task1 task2 task3 ...
write()
write()
write()
fsync()
fsync()
fsync()
because in that case we writeout all dirty pages from 16 processes in one
sweep together and also we accumulate 16 mtime updates in single
transaction commit.
Now I suspect the commit you've identified leads to less synchronization
between the processes and thus in less batching happening. In particular
before the commit we've called mpage_prepare_extent_to_map() twice and the
second invocation starts at where the first invocation saw last dirty page.
So it potentially additionally writes newly dirtied pages beyond that place
and that effectively synchronizes processes more.
To confirm the theory, it might be interesting to gather a histogram of a
number of pages written back by ext4_writepages() call with / without the
commit.
Honza
--
Jan Kara <[email protected]>
SUSE Labs, CR
[CCing the regression list, as it should be in the loop for regressions:
https://docs.kernel.org/admin-guide/reporting-regressions.html]
[TLDR: I'm adding this report to the list of tracked Linux kernel
regressions; the text you find below is based on a few templates
paragraphs you might have encountered already in similar form.
See link in footer if these mails annoy you.]
On 12.01.23 03:06, Bhatnagar, Rishabh wrote:
> Hi Theodore/Jan
>
> Please ignore the previous mail which isn't formatted well.
>
>
> We have been seeing a consistent 3% degradation in IOPS score between
> 5.4 and 5.10 stable kernels while running fio tests.
>
> I'm running test case on m6g.8xlarge AWS instances using arm64. The test
> involves:
>
> [...]>
> After doing some kernel bisecting between we were able to pinpoint this
> commit that drops the iops score by 10~15 points (~3%).
> ext4: avoid unnecessary transaction starts during writeback
> (6b8ed62008a49751fc71fefd2a4f89202a7c2d4d)
> [...]
Thanks for the report. To be sure the issue doesn't fall through the
cracks unnoticed, I'm adding it to regzbot, the Linux kernel regression
tracking bot:
#regzbot ^introduced 6b8ed62008a49751fc71
#regzbot title ext4: consistent 3% degradation in IOPS score
#regzbot ignore-activity
This isn't a regression? This issue or a fix for it are already
discussed somewhere else? It was fixed already? You want to clarify when
the regression started to happen? Or point out I got the title or
something else totally wrong? Then just reply and tell me -- ideally
while also telling regzbot about it, as explained by the page listed in
the footer of this mail.
Developers: When fixing the issue, remember to add 'Link:' tags pointing
to the report (the parent of this mail). See page linked in footer for
details.
Ciao, Thorsten (wearing his 'the Linux kernel's regression tracker' hat)
--
Everything you wanna know about Linux kernel regression tracking:
https://linux-regtracking.leemhuis.info/about/#tldr
That page also explains what to do if mails like this annoy you.
On 1/12/23 3:38 AM, Jan Kara wrote:
> CAUTION: This email originated from outside of the organization. Do not click links or open attachments unless you can confirm the sender and know the content is safe.
>
>
>
> Hi!
>
> On Wed 11-01-23 18:06:39, Bhatnagar, Rishabh wrote:
>> We have been seeing a consistent 3% degradation in IOPS score between 5.4
>> and 5.10 stable kernels while running fio tests.
>>
>> I'm running test case on m6g.8xlarge AWS instances using arm64. The test
>> involves:
>>
>> 1. Creating 100GB volume with IO1 500 iops. Attaching it to the instance.
>>
>> 2. Setup and mount fs:
>>
>> mke2fs -m 1 -t ext4 -b 4096 -L /mnt /dev/nvme1n1
>> mount -t ext4 -o noatime,nodiratime,data=ordered /dev/nvme1n1 /mnt
>>
>> 3. Install fio package and run following test:
>> (running 16 threads doing random buffered 16kb writes on a file.
>> ioengine=psync, runtime=60secs)
>>
>> jobs=16
>> blocksize="16k"
>> filesize=1000000
>>
>> if [[ -n $1 ]]; then jobs=$1; fi
>> if [[ -n $2 ]]; then blocksize=$2; fi
>>
>> /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
>> --ioengine=psync --buffered=1 --bs=${blocksize} \
>> --max-jobs=${jobs} --numjobs=${jobs} --runtime=30 --thread \
>> --filename=file0 --filesize=${filesize} \
>> --fsync=1 --group_reporting --create_only=1 > /dev/null
>>
>> sudo echo 1 > /proc/sys/vm/drop_caches
>>
>> set -x
>> echo "Running with jobs=${jobs} filesize=${filesize} blocksize=${blocksize}"
>> /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
>> --ioengine=psync --buffered=1 --bs=${blocksize} \
>> --max-jobs=${jobs} --numjobs=${jobs} --runtime=60 --thread \
>> --filename=file0 --filesize=${filesize} \
>> --fsync=1 --group_reporting --time_based
>>
>> After doing some kernel bisecting between we were able to pinpoint this
>> commit that drops the iops score by 10~15 points (~3%).
>> ext4: avoid unnecessary transaction starts during writeback
>> (6b8ed62008a49751fc71fefd2a4f89202a7c2d4d)
>>
>> We see higher iops/bw/total io after reverting the commit compared to base
>> 5.10 kernel.
>> Although the average clat is higher after reverting the commit the higher bw
>> drives the iops score higher as seen in below fio output.
> I expect the difference is somewhere in waiting for the journal. Can you
> just check whether there's a difference if you use --fdatasync=1 instead of
> --fsync=1? With this workload that should avoid waiting for the journal
> because the only metadata updates are mtime timestamps in the inode.
There is a difference of 5% with and with the commit if i change this to
fdatasync=1.
>> Fio output (5.10.162):
>> write: io=431280KB, bw=7186.3KB/s, iops=449, runt= 60015msec
>> clat (usec): min=6, max=25942, avg=267.76,stdev=1604.25
>> lat (usec): min=6, max=25943, avg=267.93,stdev=1604.25
>> clat percentiles (usec):
>> | 1.00th=[ 9], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24]
>> | 30.00th=[ 34], 40.00th=[ 45], 50.00th=[ 58], 60.00th=[ 70],
>> | 70.00th=[ 81], 80.00th=[ 94], 90.00th=[ 107], 95.00th=[ 114],
>> | 99.00th=[10048], 99.50th=[14016], 99.90th=[20096], 99.95th=[21888],
>> | 99.99th=[24448]
>> lat (usec) : 10=3.46%, 20=12.54%, 50=26.66%, 100=41.16%, 250=13.64%
>> lat (usec) : 500=0.02%, 750=0.03%, 1000=0.01%
>> lat (msec) : 2=0.23%, 4=0.50%, 10=0.73%, 20=0.91%, 50=0.12%
>> cpu : usr=0.02%, sys=0.42%, ctx=299540, majf=0, minf=0
>> IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0%
>> submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
>> complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
>> issued : total=r=0/w=26955/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
>> latency : target=0, window=0, percentile=100.00%, depth=1
>> Run status group 0 (all jobs):
>> WRITE: io=431280KB, aggrb=7186KB/s, minb=7186KB/s, maxb=7186KB/s,
>> mint=60015msec, maxt=60015msec
>> Disk stats (read/write):
>> nvme1n1: ios=0/30627, merge=0/2125, ticks=0/410990, in_queue=410990,
>> util=99.94%
>>
>> Fio output (5.10.162 with revert):
>> write: io=441920KB, bw=7363.7KB/s, iops=460, runt= 60014msec
>> clat (usec): min=6, max=35768, avg=289.09, stdev=1736.62
>> lat (usec): min=6, max=35768, avg=289.28,stdev=1736.62
>> clat percentiles (usec):
>> | 1.00th=[ 8], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24],
>> | 30.00th=[ 36], 40.00th=[ 46], 50.00th=[ 59], 60.00th=[ 71],
>> | 70.00th=[ 83], 80.00th=[ 97], 90.00th=[ 110], 95.00th=[ 117],
>> | 99.00th=[10048], 99.50th=[14144], 99.90th=[21632], 99.95th=[25984],
>> | 99.99th=[28288]
>> lat (usec) : 10=4.13%, 20=11.67%, 50=26.59%, 100=39.57%, 250=15.28%
>> lat (usec) : 500=0.03%, 750=0.03%, 1000=0.03%
>> lat (msec) : 2=0.20%, 4=0.64%, 10=0.80%, 20=0.86%, 50=0.18%
>> cpu : usr=0.01%, sys=0.43%, ctx=313909, majf=0, minf=0
>> IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0%
>> submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
>> complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
>> issued : total=r=0/w=27620/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
>> latency : target=0, window=0, percentile=100.00%, depth=1
>> Run status group 0 (all jobs):
>> WRITE: io=441920KB, aggrb=7363KB/s, minb=7363KB/s, maxb=7363KB/s,
>> mint=60014msec, maxt=60014msec
>> Disk stats (read/write):
>> nvme1n1: ios=0/31549, merge=0/2348, ticks=0/409221, in_queue=409221,
>> util=99.88%
>>
>>
>> Also i looked ext4_writepages latency which increases when the commit is
>> reverted. (This makes sense since the commit avoids unnecessary
>> transactions).
>>
>> ./funclatency ext4_writepages -->(5.10.162)
>> avg = 7734912 nsecs, total: 134131121171 nsecs, count: 17341
>>
>> ./funclatency ext4_writepages -->(5.10.162 with revert)
>> avg = 9036068 nsecs, total: 168956404886 nsecs, count: 18698
>>
>>
>> Looking at the journal transaction data I can see that the average
>> transaction commit time decreases after reverting the commit.
>> This probably helps in the IOPS score.
> So what the workload is doing is:
> write()
> inode lock
> dirty 16k of page cache
> dirty inode i_mtime
> inode unlock
> fsync()
> walk all inode pages, write dirty ones
> wait for all pages under writeback in the inode to complete IO
> force transaction commit and wait for it
>
> Now this has the best throughput (and the worst latency) if all 16
> processes work in lockstep - i.e., like:
>
> task1 task2 task3 ...
> write()
> write()
> write()
> fsync()
> fsync()
> fsync()
>
> because in that case we writeout all dirty pages from 16 processes in one
> sweep together and also we accumulate 16 mtime updates in single
> transaction commit.
>
> Now I suspect the commit you've identified leads to less synchronization
> between the processes and thus in less batching happening. In particular
> before the commit we've called mpage_prepare_extent_to_map() twice and the
> second invocation starts at where the first invocation saw last dirty page.
> So it potentially additionally writes newly dirtied pages beyond that place
> and that effectively synchronizes processes more.
>
> To confirm the theory, it might be interesting to gather a histogram of a
> number of pages written back by ext4_writepages() call with / without the
> commit.
>
> Honza
> --
> Jan Kara <[email protected]>
> SUSE Labs, CR
Hi Jan
I collected some data w.r.t to number of pages being written by ext4_writepages. What you pointed out seems to be correct.
Without the commit I see more batching (more writeback count from 4-20 pages)happening compared to with the commit.
Without the commit (reverted):
[0-1] —> 4246
[2-3] —> 312
[4-5] —> 20836
[6-7] —> 205
[8-9] —> 895
[10-11] —> 56
[12-13] —> 422
[14-15] —> 62
[16-17] —> 234
[18-19] —> 66
[20-21] —> 77
[22-23] —> 9
[24-25] —> 26
[26-27] —> 1
[28-29] —> 13
Average page count : 3.9194
With the commit:
[0-1] —> 1635
[2-3] —> 123
[4-5] —> 24302
[6-7] —> 38
[8-9] —> 604
[10-11] —> 19
[12-13] —> 123
[14-15] —> 12
[16-17] —> 24
[18-19] —> 3
[20-21] —> 8
[22-23] —> 1
[24-25] —> 3
[26-27] —> 0
[28-29] —> 1
Average page count : 3.9184
Also looking at journal data I see that without the commit we have more handles per journal transaction:
Without the commit:
cat /proc/fs/jbd2/nvme1n1-8/info
2092 transactions (2091 requested), each up to 8192 blocks
average:
0ms waiting for transaction
0ms request delay
20ms running transaction
0ms transaction was being locked
0ms flushing data (in ordered mode)
20ms logging transaction
15981us average transaction commit time
67 handles per transaction
1 blocks per transaction
2 logged blocks per transaction
With the commit:
cat /proc/fs/jbd2/nvme1n1-8/info
2143 transactions (2143 requested), each up to 8192 blocks
average:
0ms waiting for transaction
0ms request delay
0ms running transaction
0ms transaction was being locked
0ms flushing data (in ordered mode)
20ms logging transaction
20731us average transaction commit time
51 handles per transaction
1 blocks per transaction
3 logged blocks per transaction
Thanks
Rishabh
On 1/13/23 2:13 PM, Bhatnagar, Rishabh wrote:
>
> On 1/12/23 3:38 AM, Jan Kara wrote:
>> CAUTION: This email originated from outside of the organization. Do
>> not click links or open attachments unless you can confirm the sender
>> and know the content is safe.
>>
>>
>>
>> Hi!
>>
>> On Wed 11-01-23 18:06:39, Bhatnagar, Rishabh wrote:
>>> We have been seeing a consistent 3% degradation in IOPS score
>>> between 5.4
>>> and 5.10 stable kernels while running fio tests.
>>>
>>> I'm running test case on m6g.8xlarge AWS instances using arm64. The
>>> test
>>> involves:
>>>
>>> 1. Creating 100GB volume with IO1 500 iops. Attaching it to the
>>> instance.
>>>
>>> 2. Setup and mount fs:
>>>
>>> mke2fs -m 1 -t ext4 -b 4096 -L /mnt /dev/nvme1n1
>>> mount -t ext4 -o noatime,nodiratime,data=ordered /dev/nvme1n1 /mnt
>>>
>>> 3. Install fio package and run following test:
>>> (running 16 threads doing random buffered 16kb writes on a file.
>>> ioengine=psync, runtime=60secs)
>>>
>>> jobs=16
>>> blocksize="16k"
>>> filesize=1000000
>>>
>>> if [[ -n $1 ]]; then jobs=$1; fi
>>> if [[ -n $2 ]]; then blocksize=$2; fi
>>>
>>> /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
>>> --ioengine=psync --buffered=1 --bs=${blocksize} \
>>> --max-jobs=${jobs} --numjobs=${jobs} --runtime=30 --thread \
>>> --filename=file0 --filesize=${filesize} \
>>> --fsync=1 --group_reporting --create_only=1 > /dev/null
>>>
>>> sudo echo 1 > /proc/sys/vm/drop_caches
>>>
>>> set -x
>>> echo "Running with jobs=${jobs} filesize=${filesize}
>>> blocksize=${blocksize}"
>>> /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
>>> --ioengine=psync --buffered=1 --bs=${blocksize} \
>>> --max-jobs=${jobs} --numjobs=${jobs} --runtime=60 --thread \
>>> --filename=file0 --filesize=${filesize} \
>>> --fsync=1 --group_reporting --time_based
>>>
>>> After doing some kernel bisecting between we were able to pinpoint this
>>> commit that drops the iops score by 10~15 points (~3%).
>>> ext4: avoid unnecessary transaction starts during writeback
>>> (6b8ed62008a49751fc71fefd2a4f89202a7c2d4d)
>>>
>>> We see higher iops/bw/total io after reverting the commit compared
>>> to base
>>> 5.10 kernel.
>>> Although the average clat is higher after reverting the commit the
>>> higher bw
>>> drives the iops score higher as seen in below fio output.
>> I expect the difference is somewhere in waiting for the journal. Can you
>> just check whether there's a difference if you use --fdatasync=1
>> instead of
>> --fsync=1? With this workload that should avoid waiting for the journal
>> because the only metadata updates are mtime timestamps in the inode.
> There is a difference of 5% with and with the commit if i change this
> to fdatasync=1.
>>> Fio output (5.10.162):
>>> write: io=431280KB, bw=7186.3KB/s, iops=449, runt= 60015msec
>>> clat (usec): min=6, max=25942, avg=267.76,stdev=1604.25
>>> lat (usec): min=6, max=25943, avg=267.93,stdev=1604.25
>>> clat percentiles (usec):
>>> | 1.00th=[ 9], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24]
>>> | 30.00th=[ 34], 40.00th=[ 45], 50.00th=[ 58], 60.00th=[ 70],
>>> | 70.00th=[ 81], 80.00th=[ 94], 90.00th=[ 107], 95.00th=[ 114],
>>> | 99.00th=[10048], 99.50th=[14016], 99.90th=[20096], 99.95th=[21888],
>>> | 99.99th=[24448]
>>> lat (usec) : 10=3.46%, 20=12.54%, 50=26.66%, 100=41.16%, 250=13.64%
>>> lat (usec) : 500=0.02%, 750=0.03%, 1000=0.01%
>>> lat (msec) : 2=0.23%, 4=0.50%, 10=0.73%, 20=0.91%, 50=0.12%
>>> cpu : usr=0.02%, sys=0.42%, ctx=299540, majf=0, minf=0
>>> IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%,
>>> >=64=0.0%
>>> submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
>>> complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
>>> >=64=0.0%
>>> issued : total=r=0/w=26955/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
>>> latency : target=0, window=0, percentile=100.00%, depth=1
>>> Run status group 0 (all jobs):
>>> WRITE: io=431280KB, aggrb=7186KB/s, minb=7186KB/s, maxb=7186KB/s,
>>> mint=60015msec, maxt=60015msec
>>> Disk stats (read/write):
>>> nvme1n1: ios=0/30627, merge=0/2125, ticks=0/410990, in_queue=410990,
>>> util=99.94%
>>>
>>> Fio output (5.10.162 with revert):
>>> write: io=441920KB, bw=7363.7KB/s, iops=460, runt= 60014msec
>>> clat (usec): min=6, max=35768, avg=289.09, stdev=1736.62
>>> lat (usec): min=6, max=35768, avg=289.28,stdev=1736.62
>>> clat percentiles (usec):
>>> | 1.00th=[ 8], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24],
>>> | 30.00th=[ 36], 40.00th=[ 46], 50.00th=[ 59], 60.00th=[ 71],
>>> | 70.00th=[ 83], 80.00th=[ 97], 90.00th=[ 110], 95.00th=[ 117],
>>> | 99.00th=[10048], 99.50th=[14144], 99.90th=[21632], 99.95th=[25984],
>>> | 99.99th=[28288]
>>> lat (usec) : 10=4.13%, 20=11.67%, 50=26.59%, 100=39.57%, 250=15.28%
>>> lat (usec) : 500=0.03%, 750=0.03%, 1000=0.03%
>>> lat (msec) : 2=0.20%, 4=0.64%, 10=0.80%, 20=0.86%, 50=0.18%
>>> cpu : usr=0.01%, sys=0.43%, ctx=313909, majf=0, minf=0
>>> IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%,
>>> >=64=0.0%
>>> submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
>>> complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
>>> >=64=0.0%
>>> issued : total=r=0/w=27620/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
>>> latency : target=0, window=0, percentile=100.00%, depth=1
>>> Run status group 0 (all jobs):
>>> WRITE: io=441920KB, aggrb=7363KB/s, minb=7363KB/s, maxb=7363KB/s,
>>> mint=60014msec, maxt=60014msec
>>> Disk stats (read/write):
>>> nvme1n1: ios=0/31549, merge=0/2348, ticks=0/409221, in_queue=409221,
>>> util=99.88%
>>>
>>>
>>> Also i looked ext4_writepages latency which increases when the
>>> commit is
>>> reverted. (This makes sense since the commit avoids unnecessary
>>> transactions).
>>>
>>> ./funclatency ext4_writepages -->(5.10.162)
>>> avg = 7734912 nsecs, total: 134131121171 nsecs, count: 17341
>>>
>>> ./funclatency ext4_writepages -->(5.10.162 with revert)
>>> avg = 9036068 nsecs, total: 168956404886 nsecs, count: 18698
>>>
>>>
>>> Looking at the journal transaction data I can see that the average
>>> transaction commit time decreases after reverting the commit.
>>> This probably helps in the IOPS score.
>> So what the workload is doing is:
>> write()
>> inode lock
>> dirty 16k of page cache
>> dirty inode i_mtime
>> inode unlock
>> fsync()
>> walk all inode pages, write dirty ones
>> wait for all pages under writeback in the inode to complete IO
>> force transaction commit and wait for it
>>
>> Now this has the best throughput (and the worst latency) if all 16
>> processes work in lockstep - i.e., like:
>>
>> task1 task2 task3 ...
>> write()
>> write()
>> write()
>> fsync()
>> fsync()
>> fsync()
>>
>> because in that case we writeout all dirty pages from 16 processes in
>> one
>> sweep together and also we accumulate 16 mtime updates in single
>> transaction commit.
>>
>> Now I suspect the commit you've identified leads to less synchronization
>> between the processes and thus in less batching happening. In particular
>> before the commit we've called mpage_prepare_extent_to_map() twice
>> and the
>> second invocation starts at where the first invocation saw last dirty
>> page.
>> So it potentially additionally writes newly dirtied pages beyond that
>> place
>> and that effectively synchronizes processes more.
>>
>> To confirm the theory, it might be interesting to gather a histogram
>> of a
>> number of pages written back by ext4_writepages() call with / without
>> the
>> commit.
>>
>> Honza
>> --
>> Jan Kara <[email protected]>
>> SUSE Labs, CR
>
> Hi Jan
>
> I collected some data w.r.t to number of pages being written by
> ext4_writepages. What you pointed out seems to be correct.
> Without the commit I see more batching (more writeback count from 4-20
> pages)happening compared to with the commit.
>
> Without the commit (reverted):
>
> [0-1] —> 4246
> [2-3] —> 312
> [4-5] —> 20836
> [6-7] —> 205
> [8-9] —> 895
> [10-11] —> 56
> [12-13] —> 422
> [14-15] —> 62
> [16-17] —> 234
> [18-19] —> 66
> [20-21] —> 77
> [22-23] —> 9
> [24-25] —> 26
> [26-27] —> 1
> [28-29] —> 13
>
> Average page count : 3.9194
>
>
> With the commit:
>
> [0-1] —> 1635
> [2-3] —> 123
> [4-5] —> 24302
> [6-7] —> 38
> [8-9] —> 604
> [10-11] —> 19
> [12-13] —> 123
> [14-15] —> 12
> [16-17] —> 24
> [18-19] —> 3
> [20-21] —> 8
> [22-23] —> 1
> [24-25] —> 3
> [26-27] —> 0
> [28-29] —> 1
>
> Average page count : 3.9184
>
> Also looking at journal data I see that without the commit we have
> more handles per journal transaction:
>
> Without the commit:
> cat /proc/fs/jbd2/nvme1n1-8/info
> 2092 transactions (2091 requested), each up to 8192 blocks
> average:
> 0ms waiting for transaction
> 0ms request delay
> 20ms running transaction
> 0ms transaction was being locked
> 0ms flushing data (in ordered mode)
> 20ms logging transaction
> 15981us average transaction commit time
> 67 handles per transaction
> 1 blocks per transaction
> 2 logged blocks per transaction
>
> With the commit:
> cat /proc/fs/jbd2/nvme1n1-8/info
> 2143 transactions (2143 requested), each up to 8192 blocks
> average:
> 0ms waiting for transaction
> 0ms request delay
> 0ms running transaction
> 0ms transaction was being locked
> 0ms flushing data (in ordered mode)
> 20ms logging transaction
> 20731us average transaction commit time
> 51 handles per transaction
> 1 blocks per transaction
> 3 logged blocks per transaction
>
> Thanks
> Rishabh
>
Hi Jan
Gentle reminder.
Any thoughts on this data? Is there a usecase where this commit brings
benefits that are worth considering if we decide to revert this?
Hello!
On Wed 18-01-23 18:48:10, Bhatnagar, Rishabh wrote:
> On 1/13/23 2:13 PM, Bhatnagar, Rishabh wrote:
> >
> > On 1/12/23 3:38 AM, Jan Kara wrote:
> > > CAUTION: This email originated from outside of the organization. Do
> > > not click links or open attachments unless you can confirm the
> > > sender and know the content is safe.
> > >
> > >
> > >
> > > Hi!
> > >
> > > On Wed 11-01-23 18:06:39, Bhatnagar, Rishabh wrote:
> > > > We have been seeing a consistent 3% degradation in IOPS score
> > > > between 5.4
> > > > and 5.10 stable kernels while running fio tests.
> > > >
> > > > I'm running test case on m6g.8xlarge AWS instances using arm64.
> > > > The test
> > > > involves:
> > > >
> > > > 1. Creating 100GB volume with IO1 500 iops. Attaching it to the
> > > > instance.
> > > >
> > > > 2. Setup and mount fs:
> > > >
> > > > mke2fs -m 1 -t ext4 -b 4096 -L /mnt /dev/nvme1n1
> > > > mount -t ext4 -o noatime,nodiratime,data=ordered /dev/nvme1n1 /mnt
> > > >
> > > > 3. Install fio package and run following test:
> > > > (running 16 threads doing random buffered 16kb writes on a file.
> > > > ioengine=psync, runtime=60secs)
> > > >
> > > > jobs=16
> > > > blocksize="16k"
> > > > filesize=1000000
> > > >
> > > > if [[ -n $1 ]]; then jobs=$1; fi
> > > > if [[ -n $2 ]]; then blocksize=$2; fi
> > > >
> > > > /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
> > > > --ioengine=psync --buffered=1 --bs=${blocksize} \
> > > > --max-jobs=${jobs} --numjobs=${jobs} --runtime=30 --thread \
> > > > --filename=file0 --filesize=${filesize} \
> > > > --fsync=1 --group_reporting --create_only=1 > /dev/null
> > > >
> > > > sudo echo 1 > /proc/sys/vm/drop_caches
> > > >
> > > > set -x
> > > > echo "Running with jobs=${jobs} filesize=${filesize}
> > > > blocksize=${blocksize}"
> > > > /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
> > > > --ioengine=psync --buffered=1 --bs=${blocksize} \
> > > > --max-jobs=${jobs} --numjobs=${jobs} --runtime=60 --thread \
> > > > --filename=file0 --filesize=${filesize} \
> > > > --fsync=1 --group_reporting --time_based
> > > >
> > > > After doing some kernel bisecting between we were able to pinpoint this
> > > > commit that drops the iops score by 10~15 points (~3%).
> > > > ext4: avoid unnecessary transaction starts during writeback
> > > > (6b8ed62008a49751fc71fefd2a4f89202a7c2d4d)
> > > >
> > > > We see higher iops/bw/total io after reverting the commit
> > > > compared to base
> > > > 5.10 kernel.
> > > > Although the average clat is higher after reverting the commit
> > > > the higher bw
> > > > drives the iops score higher as seen in below fio output.
> > > I expect the difference is somewhere in waiting for the journal. Can you
> > > just check whether there's a difference if you use --fdatasync=1
> > > instead of
> > > --fsync=1? With this workload that should avoid waiting for the journal
> > > because the only metadata updates are mtime timestamps in the inode.
> > There is a difference of 5% with and with the commit if i change this to
> > fdatasync=1.
> > > > Fio output (5.10.162):
> > > > write: io=431280KB, bw=7186.3KB/s, iops=449, runt= 60015msec
> > > > clat (usec): min=6, max=25942, avg=267.76,stdev=1604.25
> > > > lat (usec): min=6, max=25943, avg=267.93,stdev=1604.25
> > > > clat percentiles (usec):
> > > > | 1.00th=[ 9], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24]
> > > > | 30.00th=[ 34], 40.00th=[ 45], 50.00th=[ 58], 60.00th=[ 70],
> > > > | 70.00th=[ 81], 80.00th=[ 94], 90.00th=[ 107], 95.00th=[ 114],
> > > > | 99.00th=[10048], 99.50th=[14016], 99.90th=[20096], 99.95th=[21888],
> > > > | 99.99th=[24448]
> > > > lat (usec) : 10=3.46%, 20=12.54%, 50=26.66%, 100=41.16%, 250=13.64%
> > > > lat (usec) : 500=0.02%, 750=0.03%, 1000=0.01%
> > > > lat (msec) : 2=0.23%, 4=0.50%, 10=0.73%, 20=0.91%, 50=0.12%
> > > > cpu : usr=0.02%, sys=0.42%, ctx=299540, majf=0, minf=0
> > > > IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%,
> > > > >=64=0.0%
> > > > submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
> > > > complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
> > > > >=64=0.0%
> > > > issued : total=r=0/w=26955/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
> > > > latency : target=0, window=0, percentile=100.00%, depth=1
> > > > Run status group 0 (all jobs):
> > > > WRITE: io=431280KB, aggrb=7186KB/s, minb=7186KB/s, maxb=7186KB/s,
> > > > mint=60015msec, maxt=60015msec
> > > > Disk stats (read/write):
> > > > nvme1n1: ios=0/30627, merge=0/2125, ticks=0/410990, in_queue=410990,
> > > > util=99.94%
> > > >
> > > > Fio output (5.10.162 with revert):
> > > > write: io=441920KB, bw=7363.7KB/s, iops=460, runt= 60014msec
> > > > clat (usec): min=6, max=35768, avg=289.09, stdev=1736.62
> > > > lat (usec): min=6, max=35768, avg=289.28,stdev=1736.62
> > > > clat percentiles (usec):
> > > > | 1.00th=[ 8], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24],
> > > > | 30.00th=[ 36], 40.00th=[ 46], 50.00th=[ 59], 60.00th=[ 71],
> > > > | 70.00th=[ 83], 80.00th=[ 97], 90.00th=[ 110], 95.00th=[ 117],
> > > > | 99.00th=[10048], 99.50th=[14144], 99.90th=[21632], 99.95th=[25984],
> > > > | 99.99th=[28288]
> > > > lat (usec) : 10=4.13%, 20=11.67%, 50=26.59%, 100=39.57%, 250=15.28%
> > > > lat (usec) : 500=0.03%, 750=0.03%, 1000=0.03%
> > > > lat (msec) : 2=0.20%, 4=0.64%, 10=0.80%, 20=0.86%, 50=0.18%
> > > > cpu : usr=0.01%, sys=0.43%, ctx=313909, majf=0, minf=0
> > > > IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%,
> > > > >=64=0.0%
> > > > submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
> > > > complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
> > > > >=64=0.0%
> > > > issued : total=r=0/w=27620/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
> > > > latency : target=0, window=0, percentile=100.00%, depth=1
> > > > Run status group 0 (all jobs):
> > > > WRITE: io=441920KB, aggrb=7363KB/s, minb=7363KB/s, maxb=7363KB/s,
> > > > mint=60014msec, maxt=60014msec
> > > > Disk stats (read/write):
> > > > nvme1n1: ios=0/31549, merge=0/2348, ticks=0/409221, in_queue=409221,
> > > > util=99.88%
> > > >
> > > >
> > > > Also i looked ext4_writepages latency which increases when the
> > > > commit is
> > > > reverted. (This makes sense since the commit avoids unnecessary
> > > > transactions).
> > > >
> > > > ./funclatency ext4_writepages -->(5.10.162)
> > > > avg = 7734912 nsecs, total: 134131121171 nsecs, count: 17341
> > > >
> > > > ./funclatency ext4_writepages -->(5.10.162 with revert)
> > > > avg = 9036068 nsecs, total: 168956404886 nsecs, count: 18698
> > > >
> > > >
> > > > Looking at the journal transaction data I can see that the average
> > > > transaction commit time decreases after reverting the commit.
> > > > This probably helps in the IOPS score.
> > > So what the workload is doing is:
> > > write()
> > > inode lock
> > > dirty 16k of page cache
> > > dirty inode i_mtime
> > > inode unlock
> > > fsync()
> > > walk all inode pages, write dirty ones
> > > wait for all pages under writeback in the inode to complete IO
> > > force transaction commit and wait for it
> > >
> > > Now this has the best throughput (and the worst latency) if all 16
> > > processes work in lockstep - i.e., like:
> > >
> > > task1 task2 task3 ...
> > > write()
> > > write()
> > > write()
> > > fsync()
> > > fsync()
> > > fsync()
> > >
> > > because in that case we writeout all dirty pages from 16 processes
> > > in one
> > > sweep together and also we accumulate 16 mtime updates in single
> > > transaction commit.
> > >
> > > Now I suspect the commit you've identified leads to less synchronization
> > > between the processes and thus in less batching happening. In particular
> > > before the commit we've called mpage_prepare_extent_to_map() twice
> > > and the
> > > second invocation starts at where the first invocation saw last
> > > dirty page.
> > > So it potentially additionally writes newly dirtied pages beyond
> > > that place
> > > and that effectively synchronizes processes more.
> > >
> > > To confirm the theory, it might be interesting to gather a histogram
> > > of a
> > > number of pages written back by ext4_writepages() call with /
> > > without the
> > > commit.
> > >
> > > Honza
> > > --
> > > Jan Kara <[email protected]>
> > > SUSE Labs, CR
> >
> > Hi Jan
> >
> > I collected some data w.r.t to number of pages being written by
> > ext4_writepages. What you pointed out seems to be correct.
> > Without the commit I see more batching (more writeback count from 4-20
> > pages)happening compared to with the commit.
> >
> > Without the commit (reverted):
> >
> > [0-1] —> 4246
> > [2-3] —> 312
> > [4-5] —> 20836
> > [6-7] —> 205
> > [8-9] —> 895
> > [10-11] —> 56
> > [12-13] —> 422
> > [14-15] —> 62
> > [16-17] —> 234
> > [18-19] —> 66
> > [20-21] —> 77
> > [22-23] —> 9
> > [24-25] —> 26
> > [26-27] —> 1
> > [28-29] —> 13
> >
> > Average page count : 3.9194
> >
> >
> > With the commit:
> >
> > [0-1] —> 1635
> > [2-3] —> 123
> > [4-5] —> 24302
> > [6-7] —> 38
> > [8-9] —> 604
> > [10-11] —> 19
> > [12-13] —> 123
> > [14-15] —> 12
> > [16-17] —> 24
> > [18-19] —> 3
> > [20-21] —> 8
> > [22-23] —> 1
> > [24-25] —> 3
> > [26-27] —> 0
> > [28-29] —> 1
> >
> > Average page count : 3.9184
> >
> > Also looking at journal data I see that without the commit we have more
> > handles per journal transaction:
> >
> > Without the commit:
> > cat /proc/fs/jbd2/nvme1n1-8/info
> > 2092 transactions (2091 requested), each up to 8192 blocks
> > average:
> > 0ms waiting for transaction
> > 0ms request delay
> > 20ms running transaction
> > 0ms transaction was being locked
> > 0ms flushing data (in ordered mode)
> > 20ms logging transaction
> > 15981us average transaction commit time
> > 67 handles per transaction
> > 1 blocks per transaction
> > 2 logged blocks per transaction
> >
> > With the commit:
> > cat /proc/fs/jbd2/nvme1n1-8/info
> > 2143 transactions (2143 requested), each up to 8192 blocks
> > average:
> > 0ms waiting for transaction
> > 0ms request delay
> > 0ms running transaction
> > 0ms transaction was being locked
> > 0ms flushing data (in ordered mode)
> > 20ms logging transaction
> > 20731us average transaction commit time
> > 51 handles per transaction
> > 1 blocks per transaction
> > 3 logged blocks per transaction
>
> Gentle reminder.
>
> Any thoughts on this data? Is there a usecase where this commit brings
> benefits that are worth considering if we decide to revert this?
Yes. This change was actually added because it led to significant
improvement for workloads where one process was just overwriting allocated
file (so it didn't need to start a transaction in ext4_writepages()) while
other processes were creating load on the journal (so starting a
transaction was actually rather expensive). So I don't think reverting this
commit to re-introduce more synchronization on the journal into
ext4_writepages() is actually a good tradeoff.
I'm trying to think if we could somehow improve the performance of your
workload but it's always going to be a latency vs throughput tradeoff so
different people will want different behavior. Maybe some fsync batching
but that is more of an research project than an easy fix.
Honza
--
Jan Kara <[email protected]>
SUSE Labs, CR
[TLDR: This mail in primarily relevant for Linux kernel regression
tracking. See link in footer if these mails annoy you.]
On 19.01.23 16:15, Jan Kara wrote:
> Hello!
>
> On Wed 18-01-23 18:48:10, Bhatnagar, Rishabh wrote:
>> On 1/13/23 2:13 PM, Bhatnagar, Rishabh wrote:
>>>
>>> On 1/12/23 3:38 AM, Jan Kara wrote:
>>>> CAUTION: This email originated from outside of the organization. Do
>>>> not click links or open attachments unless you can confirm the
>>>> sender and know the content is safe.
>>>>
>>>>
>>>>
>>>> Hi!
>>>>
>>>> On Wed 11-01-23 18:06:39, Bhatnagar, Rishabh wrote:
>>>>> We have been seeing a consistent 3% degradation in IOPS score
>>>>> between 5.4
>>>>> and 5.10 stable kernels while running fio tests.
>>>>>
>>>>> I'm running test case on m6g.8xlarge AWS instances using arm64.
>>>>> The test
>>>>> involves:
>>>>>
>>>>> 1. Creating 100GB volume with IO1 500 iops. Attaching it to the
>>>>> instance.
>>>>>
>>>>> 2. Setup and mount fs:
>>>>>
>>>>> mke2fs -m 1 -t ext4 -b 4096 -L /mnt /dev/nvme1n1
>>>>> mount -t ext4 -o noatime,nodiratime,data=ordered /dev/nvme1n1 /mnt
>>>>>
>>>>> 3. Install fio package and run following test:
>>>>> (running 16 threads doing random buffered 16kb writes on a file.
>>>>> ioengine=psync, runtime=60secs)
>>>>>
>>>>> jobs=16
>>>>> blocksize="16k"
>>>>> filesize=1000000
>>>>>
>>>>> if [[ -n $1 ]]; then jobs=$1; fi
>>>>> if [[ -n $2 ]]; then blocksize=$2; fi
>>>>>
>>>>> /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
>>>>> --ioengine=psync --buffered=1 --bs=${blocksize} \
>>>>> --max-jobs=${jobs} --numjobs=${jobs} --runtime=30 --thread \
>>>>> --filename=file0 --filesize=${filesize} \
>>>>> --fsync=1 --group_reporting --create_only=1 > /dev/null
>>>>>
>>>>> sudo echo 1 > /proc/sys/vm/drop_caches
>>>>>
>>>>> set -x
>>>>> echo "Running with jobs=${jobs} filesize=${filesize}
>>>>> blocksize=${blocksize}"
>>>>> /usr/bin/fio --name=fio-test --directory=/mnt --rw=randwrite
>>>>> --ioengine=psync --buffered=1 --bs=${blocksize} \
>>>>> --max-jobs=${jobs} --numjobs=${jobs} --runtime=60 --thread \
>>>>> --filename=file0 --filesize=${filesize} \
>>>>> --fsync=1 --group_reporting --time_based
>>>>>
>>>>> After doing some kernel bisecting between we were able to pinpoint this
>>>>> commit that drops the iops score by 10~15 points (~3%).
>>>>> ext4: avoid unnecessary transaction starts during writeback
>>>>> (6b8ed62008a49751fc71fefd2a4f89202a7c2d4d)
>>>>>
>>>>> We see higher iops/bw/total io after reverting the commit
>>>>> compared to base
>>>>> 5.10 kernel.
>>>>> Although the average clat is higher after reverting the commit
>>>>> the higher bw
>>>>> drives the iops score higher as seen in below fio output.
>>>> I expect the difference is somewhere in waiting for the journal. Can you
>>>> just check whether there's a difference if you use --fdatasync=1
>>>> instead of
>>>> --fsync=1? With this workload that should avoid waiting for the journal
>>>> because the only metadata updates are mtime timestamps in the inode.
>>> There is a difference of 5% with and with the commit if i change this to
>>> fdatasync=1.
>>>>> Fio output (5.10.162):
>>>>> write: io=431280KB, bw=7186.3KB/s, iops=449, runt= 60015msec
>>>>> clat (usec): min=6, max=25942, avg=267.76,stdev=1604.25
>>>>> lat (usec): min=6, max=25943, avg=267.93,stdev=1604.25
>>>>> clat percentiles (usec):
>>>>> | 1.00th=[ 9], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24]
>>>>> | 30.00th=[ 34], 40.00th=[ 45], 50.00th=[ 58], 60.00th=[ 70],
>>>>> | 70.00th=[ 81], 80.00th=[ 94], 90.00th=[ 107], 95.00th=[ 114],
>>>>> | 99.00th=[10048], 99.50th=[14016], 99.90th=[20096], 99.95th=[21888],
>>>>> | 99.99th=[24448]
>>>>> lat (usec) : 10=3.46%, 20=12.54%, 50=26.66%, 100=41.16%, 250=13.64%
>>>>> lat (usec) : 500=0.02%, 750=0.03%, 1000=0.01%
>>>>> lat (msec) : 2=0.23%, 4=0.50%, 10=0.73%, 20=0.91%, 50=0.12%
>>>>> cpu : usr=0.02%, sys=0.42%, ctx=299540, majf=0, minf=0
>>>>> IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%,
>>>>>> =64=0.0%
>>>>> submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
>>>>> complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
>>>>>> =64=0.0%
>>>>> issued : total=r=0/w=26955/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
>>>>> latency : target=0, window=0, percentile=100.00%, depth=1
>>>>> Run status group 0 (all jobs):
>>>>> WRITE: io=431280KB, aggrb=7186KB/s, minb=7186KB/s, maxb=7186KB/s,
>>>>> mint=60015msec, maxt=60015msec
>>>>> Disk stats (read/write):
>>>>> nvme1n1: ios=0/30627, merge=0/2125, ticks=0/410990, in_queue=410990,
>>>>> util=99.94%
>>>>>
>>>>> Fio output (5.10.162 with revert):
>>>>> write: io=441920KB, bw=7363.7KB/s, iops=460, runt= 60014msec
>>>>> clat (usec): min=6, max=35768, avg=289.09, stdev=1736.62
>>>>> lat (usec): min=6, max=35768, avg=289.28,stdev=1736.62
>>>>> clat percentiles (usec):
>>>>> | 1.00th=[ 8], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 24],
>>>>> | 30.00th=[ 36], 40.00th=[ 46], 50.00th=[ 59], 60.00th=[ 71],
>>>>> | 70.00th=[ 83], 80.00th=[ 97], 90.00th=[ 110], 95.00th=[ 117],
>>>>> | 99.00th=[10048], 99.50th=[14144], 99.90th=[21632], 99.95th=[25984],
>>>>> | 99.99th=[28288]
>>>>> lat (usec) : 10=4.13%, 20=11.67%, 50=26.59%, 100=39.57%, 250=15.28%
>>>>> lat (usec) : 500=0.03%, 750=0.03%, 1000=0.03%
>>>>> lat (msec) : 2=0.20%, 4=0.64%, 10=0.80%, 20=0.86%, 50=0.18%
>>>>> cpu : usr=0.01%, sys=0.43%, ctx=313909, majf=0, minf=0
>>>>> IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%,
>>>>>> =64=0.0%
>>>>> submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0%
>>>>> complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%,
>>>>>> =64=0.0%
>>>>> issued : total=r=0/w=27620/d=0, short=r=0/w=0/d=0, drop=r=0/w=0/d=0
>>>>> latency : target=0, window=0, percentile=100.00%, depth=1
>>>>> Run status group 0 (all jobs):
>>>>> WRITE: io=441920KB, aggrb=7363KB/s, minb=7363KB/s, maxb=7363KB/s,
>>>>> mint=60014msec, maxt=60014msec
>>>>> Disk stats (read/write):
>>>>> nvme1n1: ios=0/31549, merge=0/2348, ticks=0/409221, in_queue=409221,
>>>>> util=99.88%
>>>>>
>>>>>
>>>>> Also i looked ext4_writepages latency which increases when the
>>>>> commit is
>>>>> reverted. (This makes sense since the commit avoids unnecessary
>>>>> transactions).
>>>>>
>>>>> ./funclatency ext4_writepages -->(5.10.162)
>>>>> avg = 7734912 nsecs, total: 134131121171 nsecs, count: 17341
>>>>>
>>>>> ./funclatency ext4_writepages -->(5.10.162 with revert)
>>>>> avg = 9036068 nsecs, total: 168956404886 nsecs, count: 18698
>>>>>
>>>>>
>>>>> Looking at the journal transaction data I can see that the average
>>>>> transaction commit time decreases after reverting the commit.
>>>>> This probably helps in the IOPS score.
>>>> So what the workload is doing is:
>>>> write()
>>>> inode lock
>>>> dirty 16k of page cache
>>>> dirty inode i_mtime
>>>> inode unlock
>>>> fsync()
>>>> walk all inode pages, write dirty ones
>>>> wait for all pages under writeback in the inode to complete IO
>>>> force transaction commit and wait for it
>>>>
>>>> Now this has the best throughput (and the worst latency) if all 16
>>>> processes work in lockstep - i.e., like:
>>>>
>>>> task1 task2 task3 ...
>>>> write()
>>>> write()
>>>> write()
>>>> fsync()
>>>> fsync()
>>>> fsync()
>>>>
>>>> because in that case we writeout all dirty pages from 16 processes
>>>> in one
>>>> sweep together and also we accumulate 16 mtime updates in single
>>>> transaction commit.
>>>>
>>>> Now I suspect the commit you've identified leads to less synchronization
>>>> between the processes and thus in less batching happening. In particular
>>>> before the commit we've called mpage_prepare_extent_to_map() twice
>>>> and the
>>>> second invocation starts at where the first invocation saw last
>>>> dirty page.
>>>> So it potentially additionally writes newly dirtied pages beyond
>>>> that place
>>>> and that effectively synchronizes processes more.
>>>>
>>>> To confirm the theory, it might be interesting to gather a histogram
>>>> of a
>>>> number of pages written back by ext4_writepages() call with /
>>>> without the
>>>> commit.
>>>>
>>>> Honza
>>>> --
>>>> Jan Kara <[email protected]>
>>>> SUSE Labs, CR
>>>
>>> Hi Jan
>>>
>>> I collected some data w.r.t to number of pages being written by
>>> ext4_writepages. What you pointed out seems to be correct.
>>> Without the commit I see more batching (more writeback count from 4-20
>>> pages)happening compared to with the commit.
>>>
>>> Without the commit (reverted):
>>>
>>> [0-1] —> 4246
>>> [2-3] —> 312
>>> [4-5] —> 20836
>>> [6-7] —> 205
>>> [8-9] —> 895
>>> [10-11] —> 56
>>> [12-13] —> 422
>>> [14-15] —> 62
>>> [16-17] —> 234
>>> [18-19] —> 66
>>> [20-21] —> 77
>>> [22-23] —> 9
>>> [24-25] —> 26
>>> [26-27] —> 1
>>> [28-29] —> 13
>>>
>>> Average page count : 3.9194
>>>
>>>
>>> With the commit:
>>>
>>> [0-1] —> 1635
>>> [2-3] —> 123
>>> [4-5] —> 24302
>>> [6-7] —> 38
>>> [8-9] —> 604
>>> [10-11] —> 19
>>> [12-13] —> 123
>>> [14-15] —> 12
>>> [16-17] —> 24
>>> [18-19] —> 3
>>> [20-21] —> 8
>>> [22-23] —> 1
>>> [24-25] —> 3
>>> [26-27] —> 0
>>> [28-29] —> 1
>>>
>>> Average page count : 3.9184
>>>
>>> Also looking at journal data I see that without the commit we have more
>>> handles per journal transaction:
>>>
>>> Without the commit:
>>> cat /proc/fs/jbd2/nvme1n1-8/info
>>> 2092 transactions (2091 requested), each up to 8192 blocks
>>> average:
>>> 0ms waiting for transaction
>>> 0ms request delay
>>> 20ms running transaction
>>> 0ms transaction was being locked
>>> 0ms flushing data (in ordered mode)
>>> 20ms logging transaction
>>> 15981us average transaction commit time
>>> 67 handles per transaction
>>> 1 blocks per transaction
>>> 2 logged blocks per transaction
>>>
>>> With the commit:
>>> cat /proc/fs/jbd2/nvme1n1-8/info
>>> 2143 transactions (2143 requested), each up to 8192 blocks
>>> average:
>>> 0ms waiting for transaction
>>> 0ms request delay
>>> 0ms running transaction
>>> 0ms transaction was being locked
>>> 0ms flushing data (in ordered mode)
>>> 20ms logging transaction
>>> 20731us average transaction commit time
>>> 51 handles per transaction
>>> 1 blocks per transaction
>>> 3 logged blocks per transaction
>>
>> Gentle reminder.
>>
>> Any thoughts on this data? Is there a usecase where this commit brings
>> benefits that are worth considering if we decide to revert this?
>
> Yes. This change was actually added because it led to significant
> improvement for workloads where one process was just overwriting allocated
> file (so it didn't need to start a transaction in ext4_writepages()) while
> other processes were creating load on the journal (so starting a
> transaction was actually rather expensive). So I don't think reverting this
> commit to re-introduce more synchronization on the journal into
> ext4_writepages() is actually a good tradeoff.
>
> I'm trying to think if we could somehow improve the performance of your
> workload but it's always going to be a latency vs throughput tradeoff so
> different people will want different behavior. Maybe some fsync batching
> but that is more of an research project than an easy fix.
Thx for this. In that case I'll move this issue to the list of
regression on the backburner -- and likely will remove it in a few
months while reminding everyone a final time about it. Sure, in an ideal
world this would be fixed, but tradeoffs like "latency vs throughput"
are always tricky -- and if this is only noticed now it's likely not
that common.
#regzbot title: ext4: 3% degradation in IOPS score, likely due to a
change that influences latency vs throughput
#regzbot backburner: latency vs throughput issue -- fixing it would be
more of an research project than an easy fix
#regzbot ignore-activity
Ciao, Thorsten (wearing his 'the Linux kernel's regression tracker' hat)
--
Everything you wanna know about Linux kernel regression tracking:
https://linux-regtracking.leemhuis.info/about/#tldr
That page also explains what to do if mails like this annoy you.