gitlab-org--gitlab-foss/db/fixtures/development/17_cycle_analytics.rb

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Fix race conditions for AuthorizedProjectsWorker There were two cases that could be problematic: 1. Because sometimes AuthorizedProjectsWorker would be scheduled in a transaction it was possible for a job to run/complete before a COMMIT; resulting in it either producing an error, or producing no new data. 2. When scheduling jobs the code would not wait until completion. This could lead to a user creating a project and then immediately trying to push to it. Usually this will work fine, but given enough load it might take a few seconds before a user has access. The first one is problematic, the second one is mostly just annoying (but annoying enough to warrant a solution). This commit changes two things to deal with this: 1. Sidekiq scheduling now takes places after a COMMIT, this is ensured by scheduling using Rails' after_commit hook instead of doing so in an arbitrary method. 2. When scheduling jobs the calling thread now waits for all jobs to complete. Solution 2 requires tracking of job completions. Sidekiq provides a way to find a job by its ID, but this involves scanning over the entire queue; something that is very in-efficient for large queues. As such a more efficient solution is necessary. There are two main Gems that can do this in a more efficient manner: * sidekiq-status * sidekiq_status No, this is not a joke. Both Gems do a similar thing (but slightly different), and the only difference in their name is a dash vs an underscore. Both Gems however provide far more than just checking if a job has been completed, and both have their problems. sidekiq-status does not appear to be actively maintained, with the last release being in 2015. It also has some issues during testing as API calls are not stubbed in any way. sidekiq_status on the other hand does not appear to be very popular, and introduces a similar amount of code. Because of this I opted to write a simple home grown solution. After all, all we need is storing a job ID somewhere so we can efficiently look it up; we don't need extra web UIs (as provided by sidekiq-status) or complex APIs to update progress, etc. This is where Gitlab::SidekiqStatus comes in handy. This namespace contains some code used for tracking, removing, and looking up job IDs; all without having to scan over an entire queue. Data is removed explicitly, but also expires automatically just in case. Using this API we can now schedule jobs in a fork-join like manner: we schedule the jobs in Sidekiq, process them in parallel, then wait for completion. By using Sidekiq we can leverage all the benefits such as being able to scale across multiple cores and hosts, retrying failed jobs, etc. The one downside is that we need to make sure we can deal with unexpected increases in job processing timings. To deal with this the class Gitlab::JobWaiter (used for waiting for jobs to complete) will only wait a number of seconds (30 by default). Once this timeout is reached it will simply return. For GitLab.com almost all AuthorizedProjectWorker jobs complete in seconds, only very rarely do we spike to job timings of around a minute. These in turn seem to be the result of external factors (e.g. deploys), in which case a user is most likely not able to use the system anyway. In short, this new solution should ensure that jobs are processed properly and that in almost all cases a user has access to their resources whenever they need to have access.
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require './spec/support/sidekiq'
require './spec/support/test_env'
class Gitlab::Seeder::CycleAnalytics
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def initialize(project, perf: false)
@project = project
@user = User.order(:id).last
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@issue_count = perf ? 1000 : 5
stub_git_pre_receive!
end
# The GitLab API needn't be running for the fixtures to be
# created. Since we're performing a number of git actions
# here (like creating a branch or committing a file), we need
# to disable the `pre_receive` hook in order to remove this
# dependency on the GitLab API.
def stub_git_pre_receive!
GitHooksService.class_eval do
def run_hook(name)
[true, '']
end
end
end
def seed_metrics!
@issue_count.times do |index|
# Issue
Timecop.travel 5.days.from_now
title = "#{FFaker::Product.brand}-#{FFaker::Product.brand}-#{rand(1000)}"
issue = Issue.create(project: @project, title: title, author: @user)
issue_metrics = issue.metrics
# Milestones / Labels
Timecop.travel 5.days.from_now
if index.even?
issue_metrics.first_associated_with_milestone_at = rand(6..12).hours.from_now
else
issue_metrics.first_added_to_board_at = rand(6..12).hours.from_now
end
# Commit
Timecop.travel 5.days.from_now
issue_metrics.first_mentioned_in_commit_at = rand(6..12).hours.from_now
# MR
Timecop.travel 5.days.from_now
branch_name = "#{FFaker::Product.brand}-#{FFaker::Product.brand}-#{rand(1000)}"
@project.repository.add_branch(@user, branch_name, 'master')
merge_request = MergeRequest.create(target_project: @project, source_project: @project, source_branch: branch_name, target_branch: 'master', title: branch_name, author: @user)
merge_request_metrics = merge_request.metrics
# MR closing issues
Timecop.travel 5.days.from_now
MergeRequestsClosingIssues.create!(issue: issue, merge_request: merge_request)
# Merge
Timecop.travel 5.days.from_now
merge_request_metrics.merged_at = rand(6..12).hours.from_now
# Start build
Timecop.travel 5.days.from_now
merge_request_metrics.latest_build_started_at = rand(6..12).hours.from_now
# Finish build
Timecop.travel 5.days.from_now
merge_request_metrics.latest_build_finished_at = rand(6..12).hours.from_now
# Deploy to production
Timecop.travel 5.days.from_now
merge_request_metrics.first_deployed_to_production_at = rand(6..12).hours.from_now
issue_metrics.save!
merge_request_metrics.save!
print '.'
end
end
def seed!
Sidekiq::Testing.inline! do
issues = create_issues
puts '.'
# Stage 1
Timecop.travel 5.days.from_now
add_milestones_and_list_labels(issues)
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
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print '.'
# Stage 2
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Timecop.travel 5.days.from_now
branches = mention_in_commits(issues)
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
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print '.'
# Stage 3
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Timecop.travel 5.days.from_now
merge_requests = create_merge_requests_closing_issues(issues, branches)
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
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print '.'
# Stage 4
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Timecop.travel 5.days.from_now
run_builds(merge_requests)
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
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print '.'
# Stage 5
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Timecop.travel 5.days.from_now
merge_merge_requests(merge_requests)
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
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print '.'
# Stage 6 / 7
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Timecop.travel 5.days.from_now
deploy_to_production(merge_requests)
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
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print '.'
end
print '.'
end
private
def create_issues
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Array.new(@issue_count) do
issue_params = {
title: "Cycle Analytics: #{FFaker::Lorem.sentence(6)}",
description: FFaker::Lorem.sentence,
state: 'opened',
assignee: @project.team.users.sample
}
Issues::CreateService.new(@project, @project.team.users.sample, issue_params).execute
end
end
def add_milestones_and_list_labels(issues)
issues.shuffle.map.with_index do |issue, index|
Timecop.travel 12.hours.from_now
if index.even?
issue.update(milestone: @project.milestones.sample)
else
label_name = "#{FFaker::Product.brand}-#{FFaker::Product.brand}-#{rand(1000)}"
list_label = FactoryGirl.create(:label, title: label_name, project: issue.project)
FactoryGirl.create(:list, board: FactoryGirl.create(:board, project: issue.project), label: list_label)
issue.update(labels: [list_label])
end
issue
end
end
def mention_in_commits(issues)
issues.map do |issue|
Timecop.travel 12.hours.from_now
branch_name = filename = "#{FFaker::Product.brand}-#{FFaker::Product.brand}-#{rand(1000)}"
issue.project.repository.add_branch(@user, branch_name, 'master')
commit_sha = issue.project.repository.create_file(@user, filename, "content", message: "Commit for ##{issue.iid}", branch_name: branch_name)
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
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issue.project.repository.commit(commit_sha)
GitPushService.new(issue.project,
@user,
oldrev: issue.project.repository.commit("master").sha,
newrev: commit_sha,
ref: 'refs/heads/master').execute
branch_name
end
end
def create_merge_requests_closing_issues(issues, branches)
issues.zip(branches).map do |issue, branch|
Timecop.travel 12.hours.from_now
opts = {
title: 'Cycle Analytics merge_request',
description: "Fixes #{issue.to_reference}",
source_branch: branch,
target_branch: 'master'
}
MergeRequests::CreateService.new(issue.project, @user, opts).execute
end
end
def run_builds(merge_requests)
merge_requests.each do |merge_request|
Timecop.travel 12.hours.from_now
service = Ci::CreatePipelineService.new(merge_request.project,
@user,
ref: "refs/heads/#{merge_request.source_branch}")
pipeline = service.execute(ignore_skip_ci: true, save_on_errors: false)
pipeline.run!
Timecop.travel rand(1..6).hours.from_now
pipeline.succeed!
PipelineMetricsWorker.new.perform(pipeline.id)
end
end
def merge_merge_requests(merge_requests)
merge_requests.each do |merge_request|
Timecop.travel 12.hours.from_now
MergeRequests::MergeService.new(merge_request.project, @user).execute(merge_request)
end
end
def deploy_to_production(merge_requests)
merge_requests.each do |merge_request|
Timecop.travel 12.hours.from_now
CreateDeploymentService.new(merge_request.project, @user, {
environment: 'production',
ref: 'master',
tag: false,
sha: @project.repository.commit('master').sha
}).execute
end
end
end
Gitlab::Seeder.quiet do
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if ENV['SEED_CYCLE_ANALYTICS']
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
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Project.all.each do |project|
seeder = Gitlab::Seeder::CycleAnalytics.new(project)
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seeder.seed!
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
2016-09-15 04:59:36 -04:00
end
2016-09-14 10:10:31 -04:00
elsif ENV['CYCLE_ANALYTICS_PERF_TEST']
Improve performance of the cycle analytics page. 1. These changes bring down page load time for 100 issues from more than a minute to about 1.5 seconds. 2. This entire commit is composed of these types of performance enhancements: - Cache relevant data in `IssueMetrics` wherever possible. - Cache relevant data in `MergeRequestMetrics` wherever possible. - Preload metrics 3. Given these improvements, we now only need to make 4 SQL calls: - Load all issues - Load all merge requests - Load all metrics for the issues - Load all metrics for the merge requests 4. A list of all the data points that are now being pre-calculated: a. The first time an issue is mentioned in a commit - In `GitPushService`, find all issues mentioned by the given commit using `ReferenceExtractor`. Set the `first_mentioned_in_commit_at` flag for each of them. - There seems to be a (pre-existing) bug here - files (and therefore commits) created using the Web CI don't have cross-references created, and issues are not closed even when the commit title is "Fixes #xx". b. The first time a merge request is deployed to production When a `Deployment` is created, find all merge requests that were merged in before the deployment, and set the `first_deployed_to_production_at` flag for each of them. c. The start / end time for a merge request pipeline Hook into the `Pipeline` state machine. When the `status` moves to `running`, find the merge requests whose tip commit matches the pipeline, and record the `latest_build_started_at` time for each of them. When the `status` moves to `success`, record the `latest_build_finished_at` time. d. The merge requests that close an issue - This was a big cause of the performance problems we were having with Cycle Analytics. We need to use `ReferenceExtractor` to make this calculation, which is slow when we have to run it on a large number of merge requests. - When a merge request is created, updated, or refreshed, find the issues it closes, and create an instance of `MergeRequestsClosingIssues`, which acts as a join model between merge requests and issues. - If a `MergeRequestsClosingIssues` instance links a merge request and an issue, that issue closes that merge request. 5. The `Queries` module was changed into a class, so we can cache the results of `issues` and `merge_requests_closing_issues` across various cycle analytics stages. 6. The code added in this commit is untested. Tests will be added in the next commit.
2016-09-15 04:59:36 -04:00
seeder = Gitlab::Seeder::CycleAnalytics.new(Project.order(:id).first, perf: true)
seeder.seed!
elsif ENV['CYCLE_ANALYTICS_POPULATE_METRICS_DIRECTLY']
seeder = Gitlab::Seeder::CycleAnalytics.new(Project.order(:id).first, perf: true)
seeder.seed_metrics!
2016-09-14 10:10:31 -04:00
else
puts "Not running the cycle analytics seed file. Use the `SEED_CYCLE_ANALYTICS` environment variable to enable it."
end
end