Date: Fri, 29 Mar 2024 11:49:50 +0000 (UTC)
Message-ID: <2089662787.12011.1711712990940@catch-kbase-p>
Subject: Exported From Confluence
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Aggregation
Aggregation queries allow you to take a normal TQL query and calculate s=
ummary information over the set of results. It is a powerful feature that p=
rovides the functionality within Enterprise Tester to support complex repor=
ts and graphs, and we put that power into your hands.
Introduction
Aggregate queries (also known as summary queries) are formed by combinin=
g 1 or more aggregate function expressions at the start of a query, optiona=
lly followed by the "WHERE" keyword and then the query to apply the aggrega=
tions to.
The simplest aggregate query you can run is to count all entities within=
Enterprise Tester:
This query will return a single value, the count of all entities within =
EnterpriseTester that you have permission to view:
To apply the above aggregation to a query you use the "WHERE" keyword:=
p>
Count =
WHERE Name ~ test
This will return the count of all results where the Name of an entity co=
ntains the word "test".
Field Functions
In addition to counts we can also use the following functions, which app=
ly to a specific field:
For example, to find the oldest and newest requirement in a project you =
can use the following query:
Min(Cr=
eatedAt), Max(CreatedAt) WHERE EntityType =3D Requirement And Project =3D '=
Project X'
Which would return results like this:
=
span>
Aliases
Names assigned to values returned in a query will by default be computed=
based on the field and function being used - you can correct this by apply=
ing an Alias using the "AS" keyword.
Min(Cr=
eatedAt) AS "First requirement added at", Max(CreatedAt) AS "Last requireme=
nt added at"=20
WHERE EntityType =3D Requirement And Project =3D 'Project X'
<=
/span>
Grouping
To group by a field such as priority or status you can use the Group By aggregate function.
This allows you to get information such as a count or total duration per=
status, project, package etc.
See the Group By topic for more detai=
ls.
Faceted
"Group By" allows you to group results based on a field. This is useful =
in many cases, but sometimes you want to have more control over how informa=
tion is grouped together, and this is where faceted is useful.
Faceted allows you to define one or more "facets" (effectively a predica=
te function call with an optional alias) which is used to determine if a va=
lue will be collected in that range.
Scenarios where this is useful include:
- Splitting a count by status into two regions i.e. "Unapproved" (Draft o=
r Awaiting Approval status) and "Approved" (Approved or Final status).
- Comparing fields i.e. two groups "Estimated >=3D Actual Duration" an=
d "Estimated < Actual Duration", with a count of the average number of s=
teps each script has.
- AND/OR logic i.e. Group incidents into urgent and non-urgent groups, wh=
ere urgent is defined as Priority is critical or Severity is high and prior=
ity is also high.
See the Faceted topic for more details=
.
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