On 1/27/23 4:17 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. On Thu 26-01-23 10:23:07, Bhatnagar, Rishabh wrote:On 1/26/23 1:32 AM, Jan Kara wrote:On Wed 25-01-23 16:33:54, Bhatnagar, Rishabh wrote:Fio with buffered io/fsync=1/randwriteSo I'm curious. Do you have any workload that actually does these synchronous random buffered IOs? Or is it just a benchmarking exercise?So database team was a running benchmark called hammerdb with 16 connections where they started noticing dropped performance for 5.10. We traced it back to filesystem with this benchmark. Although the database workload would be something similar I guess.HammerDB is a TPC-C and TPC-H benchmark but details of the IO depend more on the database it is hammering. Do you know which one? Anyway the most important fact for me is that it is visible in a real world workload (well, as much as DB benchmarking is real-world ;)).
I believe its the MySQL database though not so sure.
With HEAD as 9c19a9cb1642c074aa8bc7693cd4c038643960ae (with the above series) write: io=445360KB, bw=7418.6KB/s, *iops=463*, runt= 60033msec clat (usec): min=4, max=32132, avg=311.90, stdev=1812.74 lat (usec): min=5, max=32132, avg=312.28, stdev=1812.74 clat percentiles (usec): | 1.00th=[ 8], 5.00th=[ 10], 10.00th=[ 16], 20.00th=[ 25], | 30.00th=[ 36], 40.00th=[ 47], 50.00th=[ 60], 60.00th=[ 71], | 70.00th=[ 84], 80.00th=[ 97], 90.00th=[ 111], 95.00th=[ 118], | 99.00th=[11840], 99.50th=[15936], 99.90th=[21888], 99.95th=[23936], With HEAD as 6b4c54e3787bc03e810062bd257a3b05fd9c72d6(without the above series) write: io=455184KB, bw=7583.4KB/s, *iops=473*, runt= 60024msec clat (usec): min=6, max=24325, avg=319.72, stdev=1694.52 lat (usec): min=6, max=24326, avg=319.99, stdev=1694.53 clat percentiles (usec): | 1.00th=[ 9], 5.00th=[ 11], 10.00th=[ 17], 20.00th=[ 26], | 30.00th=[ 38], 40.00th=[ 50], 50.00th=[ 60], 60.00th=[ 73], | 70.00th=[ 85], 80.00th=[ 98], 90.00th=[ 111], 95.00th=[ 118], | 99.00th=[ 9792], 99.50th=[14016], 99.90th=[21888], 99.95th=[22400], | 99.99th=[24192]OK, about 2% regression. How stable is that across multiple runs?This is quite consistent. The thing to note here is this test is on 4.14+ tip with and without these patch series. I tried reverting to the same behavior in 5.10 with the following patch but i only see a very low improvement. (~1%)I see. Thanks for experiments.This is because on 5.10 we also have this patch ext4: avoid unnecessary transaction starts during writeback. (This limits the invocation of this function within the while loop) If i revert the above patch as well along with applying below patch i get back around 4% IOPS. - if (end == (pgoff_t)-1) - *index = (pgoff_t)-1; - else - *index = end + 1; + if (xas.xa_index > end) { + if (end == (pgoff_t)-1) + *index = (pgoff_t)-1; + else + *index = end + 1; + } + else if (ret) + *index = xas.xa_index + 1;Yes, so these patches have kind of magnifying effect together as each multiplies the number of scanning by 2. So with both of them we get like 4 scans of the inode for dirty pages in one writeback round instead of 1.I also see that number of handles per transaction were much higher before this patch series 0ms waiting for transaction 0ms request delay 20ms running transaction 0ms transaction was being locked 0ms flushing data (in ordered mode) 10ms logging transaction *13524us average transaction commit time* *73 handles per transaction* 0 blocks per transaction 1 logged blocks per transaction vs after the patch series. 0ms waiting for transaction 0ms request delay 20ms running transaction 0ms transaction was being locked 0ms flushing data (in ordered mode) 20ms logging transaction *21468us average transaction commit time* *66 handles per transaction* 1 blocks per transaction 1 logged blocks per transaction This is probably again helping in bunching the writeback transactions and increasing throughput.Yeah, probably.I looked at the code to understand what might be going on. It seems like commit 72b045aecdd856b083521f2a963705b4c2e59680 changes the behavior of find_get_pages_range_tag. Before this commit if find_get_pages_tag cannot find nr_pages (PAGEVEC_SIZE) it returns the number of pages found as ret and sets the *index to the last page it found + 1. After the commit the behavior changes such that if we don’t find nr_pages pages we set the index to end and not to the last found page. (added diff from above commit) Since pagevec_lookup_range_tag is always called in a while loop (index <= end) the code before the commit helps in coalescing writeback of pages if there are multiple threads doing write as it might keep finding new dirty (tagged) pages since it doesn’t set index to end. + /* + * We come here when we got at @end. We take care to not overflow the + * index @index as it confuses some of the callers. This breaks the + * iteration when there is page at index -1 but that is already broken + * anyway. + */ + if (end == (pgoff_t)-1) + *index = (pgoff_t)-1; + else + *index = end + 1; +out: rcu_read_unlock(); - if (ret) - *index = pages[ret - 1]->index + 1; - From the description of the patch i didn't see any mention of this functional change. Was this change intentional and did help some usecase or general performance improvement?So the change was intentional. When I was working on the series, I was somewhat concerned that the old code could end up in a pathological situation like: We scan range 0-1000000, find the only dirty page at index 0, return it. We scan range 1-1000000, find the only dirty page at index 1, return it. ... This way we end up with rather inefficient scanning and in theory malicious user could livelock writeback like this. That being said this was/is mostly a theoretical concern.Ok so its more of a security concern. But do you think this has a latency impact? I didn't see much latency impact between the two sets and throughput is higher.Yes, I expect there will be latency impact but for this workload probably relatively small. I expect the expensive part on your workload is the fsync(2) call, in particular the committing of the transaction and the flushing of the disk caches as a result of that. Data writes themselves are relatively cheap. If you had say 1MB blocks instead of 16k ones, I'd expect the numbers to start looking differently as the cost of IO and of cache flushing becomes for comparable - obviously it all depends on the details of the backing storage as well. Perhaps could you measure how much time we spend in file_write_and_wait_range() calls vs in the whole ext4_sync_file() call to confirm that? Overall your tests show we could gain some throughput without sacrificing too much latency if we somehow batch tiny fsync requests more. The trick is how to do this without regressing other workloads and also across various storage types which are going to have very different properties. Honza -- Jan Kara <jack@xxxxxxxx> SUSE Labs, CR
Yeah i agree fsync is much more expensive operation than just dirtying buffers in page cache. I did use the ext4dist tool from bcc to get the distribution of write vs fsync. Overall fsync is much more expensive operation so yeah if we can get higher throughput here with batching
it shouldn't impact fsync latency that much. operation = write usecs : count distribution 0 -> 1 : 0 | | 2 -> 3 : 0 | | 4 -> 7 : 84 | | 8 -> 15 : 1833 |************ | 16 -> 31 : 3148 |******************** | 32 -> 63 : 4149 |*************************** | 64 -> 127 : 6083 |****************************************| 128 -> 255 : 46 | | 256 -> 511 : 0 | | 512 -> 1023 : 6 | | 1024 -> 2047 : 63 | | 2048 -> 4095 : 44 | | 4096 -> 8191 : 190 |* | 8192 -> 16383 : 191 |* | 16384 -> 32767 : 201 |* | 32768 -> 65535 : 43 | | operation = fsync usecs : count distribution 0 -> 1 : 0 | | 2 -> 3 : 0 | | 4 -> 7 : 0 | | 8 -> 15 : 0 | | 16 -> 31 : 0 | | 32 -> 63 : 0 | | 64 -> 127 : 0 | | 128 -> 255 : 0 | | 256 -> 511 : 1 | | 512 -> 1023 : 27 | | 1024 -> 2047 : 62 | | 2048 -> 4095 : 212 |* | 4096 -> 8191 : 56 | | 8192 -> 16383 : 94 | | 16384 -> 32767 : 1070 |***** | 32768 -> 65535 : 7649 |****************************************| 65536 -> 131071 : 6901 |************************************ |
