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2023-05-17Add latest changes from gitlab-org/gitlab@16-0-stable-eev16.0.0-rc42GitLab Bot
2022-09-20Add latest changes from gitlab-org/gitlab@15-4-stable-eev15.4.0-rc42GitLab Bot
2021-05-19Add latest changes from gitlab-org/gitlab@13-12-stable-eev13.12.0-rc42GitLab Bot
2021-04-21Add latest changes from gitlab-org/gitlab@13-11-stable-eev13.11.0-rc43GitLab Bot
2021-03-16Add latest changes from gitlab-org/gitlab@13-10-stable-eev13.10.0-rc40GitLab Bot
2021-02-18Add latest changes from gitlab-org/gitlab@13-9-stable-eev13.9.0-rc42GitLab Bot
2016-03-10Removed benchmark suite and its documentationYorick Peterse
The rationale for this can be found in https://gitlab.com/gitlab-org/gitlab-ce/issues/13718 but in short the benchmark suite no longer serves a good purpose now that we have proper production monitoring in place. Fixes gitlab-org/gitlab-ce#13718
2015-12-15Move Markdown/reference logic from Gitlab::Markdown to BanzaiDouwe Maan
2015-11-19Align hash literals in IssuesFinder specYorick Peterse
2015-11-19Added benchmark for IssuesFinderYorick Peterse
2015-11-04Merge branch 'create-project-performance' into 'master' Yorick Peterse
Improve performance of creating projects See merge request !1650
2015-11-03Added benchmark for User.allYorick Peterse
This benchmark exists to test if ordering has any noticeable impact in the test environment.
2015-10-30Adjusted ips/sec for find_by_any_email benchmarksYorick Peterse
While these benchmarks run at roughly 1500 i/sec setting the threshold to 1000 leaves some room for deviations (e.g. due to different DB setups).
2015-10-30Improve performance of User.find_by_any_emailYorick Peterse
This query used to rely on a JOIN, effectively producing the following SQL: SELECT users.* FROM users LEFT OUTER JOIN emails ON emails.user_id = users.id WHERE (users.email = X OR emails.email = X) LIMIT 1; The use of a JOIN means having to scan over all Emails and users, join them together and then filter out the rows that don't match the criteria (though this step may be taken into account already when joining). In the new setup this query instead uses a sub-query, producing the following SQL: SELECT * FROM users WHERE id IN (select user_id FROM emails WHERE email = X) OR email = X LIMIT 1; This query has the benefit that it: 1. Doesn't have to JOIN any rows 2. Only has to operate on a relatively small set of rows from the "emails" table. Since most users will only have a handful of Emails associated (certainly not hundreds or even thousands) the size of the set returned by the sub-query is small enough that it should not become problematic. Performance of the old versus new version can be measured using the following benchmark: # Save this in ./bench.rb require 'benchmark/ips' email = 'yorick@gitlab.com' def User.find_by_any_email_old(email) user_table = arel_table email_table = Email.arel_table query = user_table. project(user_table[Arel.star]). join(email_table, Arel::Nodes::OuterJoin). on(user_table[:id].eq(email_table[:user_id])). where(user_table[:email].eq(email).or(email_table[:email].eq(email))) find_by_sql(query.to_sql).first end Benchmark.ips do |bench| bench.report 'original' do User.find_by_any_email_old(email) end bench.report 'optimized' do User.find_by_any_email(email) end bench.compare! end Running this locally using "bundle exec rails r bench.rb" produces the following output: Calculating ------------------------------------- original 1.000 i/100ms optimized 93.000 i/100ms ------------------------------------------------- original 11.103 (± 0.0%) i/s - 56.000 optimized 948.713 (± 5.3%) i/s - 4.743k Comparison: optimized: 948.7 i/s original: 11.1 i/s - 85.45x slower In other words, the new setup is 85x faster compared to the old setup, at least when running this benchmark locally. For GitLab.com these improvements result in User.find_by_any_email taking only ~170 ms to run, instead of around 800 ms. While this is "only" an improvement of about 4.5 times (instead of 85x) it's still significantly better than before. Fixes #3242
2015-10-29Added benchmark for Projects::CreateServiceYorick Peterse
This benchmark currently runs at ~0.6 iterations per second and is unlikely to perform any better any time soon.
2015-10-20Added benchmark for ReferenceFilterYorick Peterse
2015-10-19Improve performance of sorting milestone issuesYorick Peterse
This cuts down the time it takes to sort issues of a milestone by about 10x. In the previous setup the code would run a SQL query for every issue that had to be sorted. The new setup instead runs a single SQL query to update all the given issues at once. The attached benchmark used to run at around 60 iterations per second, using the new setup this hovers around 600 iterations per second. Timing wise a request to update a milestone with 40-something issues would take about 760 ms, in the new setup this only takes about 130 ms. Fixes #3066
2015-10-15Merge branch 'user-by-login-performance' into 'master' Yorick Peterse
Improve User.by_login performance This greatly speeds up the performance of `User.by_login`. I adopted some changes from @haynes in this patch, the credits go to him for coming up with those originally. Fixes #2341 See merge request !1545
2015-10-15Improve ProjectTeam#max_member_access performanceYorick Peterse
By comparing objects in Ruby we can greatly improve the performance of this method. In the worst case (should no data be eager loaded) this will run the same amount of queries as before, in the best case (when data _is_ eager loadeD) it requires no queries at all. The added benchmark used to produce around 273 iterations per second. With this commit this has been increased to almost 40 000 iterations per second: a speedup of roughly 145 times. Combined with eager loading Note associations this results in about 30 queries less when viewing a single issue, this in turn cuts down the loading time by 30-40%.
2015-10-15Improve performance of User.by_loginYorick Peterse
Performance is improved in two steps: 1. On PostgreSQL an expression index is used for checking lower(email) and lower(username). 2. The check to determine if we're searching for a username or Email is moved to Ruby. Thanks to @haynes for suggesting and writing the initial implementation of this. Moving the check to Ruby makes this method an additional 1.5 times faster compared to doing the check in the SQL query. With performance being improved I've now also tweaked the amount of iterations required by the User.by_login benchmark. This method now runs between 900 and 1000 iterations per second.
2015-10-08Merge remote-tracking branch 'public/project-find-with-namespace-performance'Dmitriy Zaporozhets
Signed-off-by: Dmitriy Zaporozhets <dmitriy.zaporozhets@gmail.com>
2015-10-08Revamp finding projects by namespacesYorick Peterse
By using a JOIN we can remove the need for using 2 separate queries to find a project by its namespace. Combined with an index (only needed for PostgreSQL) this reduces the query time from ~245 ms (~520 ms for the first call) down to roughly 10 ms (~15 ms for the first call).
2015-10-06Added benchmarks for finding trending projectsYorick Peterse
2015-10-05Added benchmark_subject method for benchmarksYorick Peterse
This class method can be used in "describe" blocks to specify the subject of a benchmark. This lets you write: benchmark_subject { Foo } instead of: benchmark_subject { -> { Foo } }
2015-10-02Basic setup for an RSpec based benchmark suiteYorick Peterse
This benchmark suite uses benchmark-ips (https://github.com/evanphx/benchmark-ips) behind the scenes. Specs can be turned into benchmark specs by setting "benchmark" to "true" in the top-level describe block like so: describe SomeClass, benchmark: true do end Writing benchmarks can be done using custom RSpec matchers, for example: describe MaruTheCat, benchmark: true do describe '#jump_in_box' do it 'should run 1000 iterations per second' do maru = described_class.new expect { maru.jump_in_box }.to iterate_per_second(1000) end end end By default the "iterate_per_second" expectation requires a standard deviation under 30% (this is just an arbitrary default for now). You can change this by chaining "with_maximum_stddev" on the expectation: expect { maru.jump_in_box }.to iterate_per_second(1000) .with_maximum_stddev(10) This will change the expectation to require a maximum deviation of 10%. Alternatively you can use the it block style to write specs: describe MaruTheCat, benchmark: true do describe '#jump_in_box' do subject { -> { described_class.new } } it { is_expected.to iterate_per_second(1000) } end end Because "iterate_per_second" operates on a block, opposed to a static value, the "subject" method must return a Proc. This looks a bit goofy but I have been unable to find a nice way around this.