Atlassian jql-cheat-sheet-2
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This document provides instructions and examples for advanced searching in JIRA Software using the JIRA Query Language (JQL). It explains how to use wildcard, fuzzy, and proximity searches; field operators like =, >, and ~; functions like created, updated, and membersOf(); and reserving special characters with quotes or backslashes when needed in searches. The examples demonstrate complex queries using keywords like AND and OR to link clauses and search for issues based on fields, text, users, and more.
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![For full instructions on advanced searching in JIRA Software, please visit:
https://docs.atlassian.com/advanced-searching
Replace single character with ?
e.g. te?t
Replace multiple characters with *
e.g. win*
Add ~ to the end of a single term
e.g. roam~
Add ~ and a number to the end of
a phrase in quotes
e.g. text ~ '"Atlassian jira"~10'
Add ^ with a boost factor (a number)
to the end of a search term
e.g. atlassian^4 jira
Fields
A simple query in JQL (also known as a “clause”) consists of a field, followed by
an operator, followed by one or more values or functions. For example:
To perform a more complex query, you can link clauses together with keywords.
= AND in (currentuser())TESTproject assignee
field operatorkeyword function
Assignee
Affected version
Attachments
Comment
Component
Created
Creator
Description
Due
Operators =
>
>=
~
in
is
was
was in
changed
Reserved
characters
& words
Epic link
Filter
Fix version
Issue key
Labels
Last viewed
Priority
Project
Reporter
space (" ")
+
.
,
;
?
|
*
/
%
^
$
#
@
[
]
a, and, are, as, at, be, but, by, for, if, in, into, is,
it, no, not, of, on, or, s, such, t, that, the, their,
then, there, these, they, this, to, was, will, with
Resolved
Sprint
Status
Summary
Text
Time spent
Voter
Watcher
custom field
Functions Time
Example query
Example query
1.
2.
People Issue
Wildcard search Fuzzy search
Field
Proximity search
Boost term
startOfDay/Week/Month/Year
endOfDay/Week/Month/Year
lastLogin()
now()
currentLogin()
currentUser()
membersOf()
issueHistory()
openSprints()
watchedIssues()
myApproval()
myPending()
Term
modifiers
Add ~ to the beginning of a single term
e.g. ~customize
Word
stemming
!=
<
<=
!~
not in
is not
was not
was not in
When using these common characters or words in queries, you need to:
created > startOfWeek() and assignee = currentUser() and (status = Open or (status = Reopened and priority in (High,Highest)))
text ~ “lost grn~ luggage" and text ~ ‘“mars shuttle"~5' and
passengerNumber ~ ‘451???' and project in (“Teams in Space")
Surround them with quote-marks. You can use either single
quote-marks (') or double quote-marks (")
eg. text ~ "encoding"
If you are searching a text field and the character is on the list of reserved
characters or words, precede them with two backslashes
project
field
field
= Test
operator value
operator value
JQL Cheat Sheet](https://image.slidesharecdn.com/atlassian-jql-cheat-sheet-2-200908143930/85/Atlassian-jql-cheat-sheet-2-1-320.jpg)
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Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords such as “big data,” “NoSQL,” “data scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important are the data models driving the engineering and architecture activities o
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A worthwhile Data Governance framework includes the core component of a successful program as viewed by the different levels of the organization. Each of the components is addressed at each of the levels, providing insight into key ideas and terminology used to attract participation across the organization. A framework plays a key role in setting up and sustaining a Data Governance program.
In this RWDG webinar, Bob Seiner will share two frameworks. The first is a basic cross-reference of components and levels, while the second can be used to compare and contrast different approaches to implementing Data Governance. When this webinar is finished, you will be able to customize the frameworks to outline the most appropriate manner for you to improve your likelihood of DG success.
In this webinar, Bob will discuss and share:
- Customizing a framework to match organizational requirements
- The core components and levels of an industry framework
- How to complete a Data Governance framework
- Using the framework to enable DG program success
- Measuring value through the DIY DG framework
Building an Effective BI Governance Program
“Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.” – Gartner
If you are in the process of building a governance initiative or responsible for governance initiatives today, you can’t afford to be in the 80%. This webinar will ensure you deliver a successful program, by providing you tools and recommendations and will run you through a practical example from start to finish.
The following will be covered:
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Master Data Management – Aligning Data, Process, and Governance
Master Data Management (MDM) provides organizations with an accurate and comprehensive view of their business-critical data such as customers, products, vendors, and more. While mastering these key data areas can be a complex task, the value of doing so can be tremendous – from real-time operational integration to data warehousing and analytic reporting. This webinar will provide practical strategies for gaining value from your MDM initiative, while at the same time assuring a solid architectural and governance foundation that will ensure long-term, enterprise-wide success.
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https://youtu.be/xwJbs6TFgpI
Data Architecture Best Practices for Advanced Analytics
Many organizations are immature when it comes to data and analytics use. The answer lies in delivering a greater level of insight from data, straight to the point of need.
There are so many Data Architecture best practices today, accumulated from years of practice. In this webinar, William will look at some Data Architecture best practices that he believes have emerged in the past two years and are not worked into many enterprise data programs yet. These are keepers and will be required to move towards, by one means or another, so it’s best to mindfully work them into the environment.
Emerging Trends in Data Architecture – What’s the Next Big Thing
Digital Transformation is a top priority for many organizations, and a successful digital journey requires a strong data foundation. Creating this digital transformation requires a number of core data management capabilities such as MDM, With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
The Art of Building a Roadmap
The process of defining a roadmap is arguably one of the most difficult but important things a product manager has to do. Far too often roadmaps are built without the complete picture in mind, without the right timing, in silos, or are misdirected. How then can we ensure we’re doing it right? Is there really such a thing as an agile roadmap?
This talk will draw from lessons learnt building product to provide practical tips and techniques enabling you to understand roadmap inputs, plan with different perspectives in mind, optimise for learning, communicate and set roadmap goals as well as find agility when the landscape around you changes.
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Confluence
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- 1. For full instructions on advanced searching in JIRA Software, please visit: https://docs.atlassian.com/advanced-searching Replace single character with ? e.g. te?t Replace multiple characters with * e.g. win* Add ~ to the end of a single term e.g. roam~ Add ~ and a number to the end of a phrase in quotes e.g. text ~ '"Atlassian jira"~10' Add ^ with a boost factor (a number) to the end of a search term e.g. atlassian^4 jira Fields A simple query in JQL (also known as a “clause”) consists of a field, followed by an operator, followed by one or more values or functions. For example: To perform a more complex query, you can link clauses together with keywords. = AND in (currentuser())TESTproject assignee field operatorkeyword function Assignee Affected version Attachments Comment Component Created Creator Description Due Operators = > >= ~ in is was was in changed Reserved characters & words Epic link Filter Fix version Issue key Labels Last viewed Priority Project Reporter space (" ") + . , ; ? | * / % ^ $ # @ [ ] a, and, are, as, at, be, but, by, for, if, in, into, is, it, no, not, of, on, or, s, such, t, that, the, their, then, there, these, they, this, to, was, will, with Resolved Sprint Status Summary Text Time spent Voter Watcher custom field Functions Time Example query Example query 1. 2. People Issue Wildcard search Fuzzy search Field Proximity search Boost term startOfDay/Week/Month/Year endOfDay/Week/Month/Year lastLogin() now() currentLogin() currentUser() membersOf() issueHistory() openSprints() watchedIssues() myApproval() myPending() Term modifiers Add ~ to the beginning of a single term e.g. ~customize Word stemming != < <= !~ not in is not was not was not in When using these common characters or words in queries, you need to: created > startOfWeek() and assignee = currentUser() and (status = Open or (status = Reopened and priority in (High,Highest))) text ~ “lost grn~ luggage" and text ~ ‘“mars shuttle"~5' and passengerNumber ~ ‘451???' and project in (“Teams in Space") Surround them with quote-marks. You can use either single quote-marks (') or double quote-marks (") eg. text ~ "encoding" If you are searching a text field and the character is on the list of reserved characters or words, precede them with two backslashes project field field = Test operator value operator value JQL Cheat Sheet