JIRA Software 7.6 Long Term Support release performance report

Before we started the test, we needed to determine what size and shape of data set represents a typical large JIRA instance. To achieve that, we used our Analytics data to form a picture of our customers' environments and what difficulties they face when scaling JIRA in a large organization.

次の表では、各データ ディメンションの 999 番目のパーセンタイルの値を切り捨てています。これらの値を使用して、JIRA Data Generator でランダム テスト データが入ったサンプル データセットを生成します。

Baseline JIRA data set

We chose a mix of actions that would represent a sample of the most common user actions. An action in this context is a complete user operation like opening of an Issue in the browser window. The following table details the actions that we included in the script for our testing persona, indicating how many times each action is repeated during a single test run.

description ~ 'totally' or summary ~ 'hobos' and comment !~ 'propel' ORDER BY key

reporter was in (admin) and status = Closed order by createdDate

comment ~ 'contest* saw' and reporter was admin order by assignee desc

text ~ 'a* ba*' ORDER BY Status, summary

priority was in (Low, Lowest) or (status = 'In Progress' and assignee changed) or createdDate > '2016/07/02 00:00'

resolution = Unresolved and priority = Low

text ~ 'witch* doctrine' and status was not Closed order by priority

project = novemcinctus and assignee = admin ORDER BY assignee

assignee in membersOf('users_1') order by project

not (status = closed and resolution = Done and priority = High)

The performance tests were all run on a set of AWS EC2 instances. For each test, the entire environment was reset and rebuilt, and then each test started with some idle cycles to warm up instance caches. Below, you can check the details of the environments used for JIRA Server and JIRA Data Center, as well as the specifications of the EC2 instances.

テストを実行するため、スクリプトを組んだブラウザを 10 個使用し、操作の実行にかかる時間を計測しました。各ブラウザーのスクリプトは、定義済みの操作リストからランダムに操作を実行し、すぐに次の操作に移る（つまり思考時間がゼロになる）ように記述されています。これによって各ブラウザは実際のユーザーが可能なタスクよりも実質的に多くのタスクを実行するため、ブラウザの数が実際の同時実行ユーザー数と等しくなると解釈することはできません。

各テストは 20分間実行され、その後、統計情報が収集されます。 

ここでは、テスト環境の詳細について説明します。