Agree with Alex.
Now we perform extra WAL fsync() at the beginning of checkpoint. We
*have* to wait for call completion before starting to write checkpoint
pages - otherwise both physical records in WAL and partition files in
storage will be in a mess in case of power loss. User threads *don't*
directly wait for this fsync(), however total throughput of user threads
can't exceed total throughput of checkpoint, that's why total throughput
of user threads is decreased.
Denis, regarding this:
Could we run Yardstick or YCSB benchmarks to see how the fixed LOG_ONLY
affected the performance under the operational load (after the preloading
part you're referring to is over)?
Please take a look at benchmark results attached to
https://issues.apache.org/jira/browse/IGNITE-7754 ticket - "put"
benchmarks represent data loading, and "put-get" benchmarks represent
operational load. As you can see, operational load degradation is 4-5
times lesser that in data load case.
On 13.04.2018 11:24, Alexey Goncharuk wrote:
The point of this fsync is to order FS disk writes to prevent data
corruption, so this fsync has to be synchronous and cannot be asynchronous
Given that we fix correctness, I believe that current results are
2018-04-13 2:48 GMT+03:00 Dmitriy Setrakyan <dsetrak...@apache.org>:
On Thu, Apr 12, 2018 at 9:45 AM, Ivan Rakov <ivan.glu...@gmail.com> wrote:
fsync() is really slow operation - it's the main reason why FSYNC mode is
way slower than LOG_ONLY.
Fix includes extra fsyncs in necessary parts of code and nothing more.
Every part is important - at the beginning of the thread I described why.
20% slow in benchmark doesn't mean than Ignite itself will become 20%
slower. Benchmark replays only "data loading" scenario. It signals that
maximum throughput with WAL enabled will be 20% slower. By the way, we
already have option to disable WAL in runtime for the period of data
Ivan, I get it, but I am sure that you can do more things in parallel. Do
we wait for the fsync call to complete? If yes, do we have to wait? Are
there other performance optimizations you can add, considering that we are
in LOG_ONLY or BACKGROUND modes and disk writes may be delayed.