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The Pivot tool allows you to report on a selected knowledge set while not the Splunk Search process Language (SPL™). First, establish a dataset that you simply need to report on, so use a drag-and-drop interface to style and generate pivots that gift completely different aspects of that knowledge within the sort of tables, charts, and different visualizations.

How will Pivot work? It uses knowledge models to outline the broad class of event knowledge that you are operating with, so uses hierarchically organized collections of knowledge model datasets to more subdivide the first dataset and outline the fields that you simply need Pivot to come results on. knowledge models and their datasets area unit designed by the data managers in your organization. they are doing plenty of labor for you to change you to quickly concentrate on a selected set of event knowledge.

For example, you'll be able to have data} model that tracks email server information, with datasets representing emails sent and emails received. If you would like to concentrate on patterns in your sent email, choose the "Email Activity" knowledge model and select the "Emails Sent" dataset.

For associate in-depth abstract summary {of knowledge|of knowledge|of information} models and data model datasets, see regarding knowledge models.

Creating a pivot:

There area unit 2 ways in which to navigate to the Pivots view:

Through the Datasets page
Through the information Model listing page, via Settings
Steps
From What to try to to
Datasets page
In the Search app, open the Datasets listing page.
Identify the information model dataset that you would like to form a Pivot for.
In the Actions column, choose Explore > Visualize with Pivot.
Click Save As... to avoid wasting your changes as a report or a dashboard panel.
Settings > knowledge Models
Select Settings > knowledge models
Locate a knowledge model and within the Actions column, click Pivot.
Click a dataset and make the Pivot.
Click Save As... to avoid wasting your changes as a report or a dashboard panel.
If you read Pivot in smaller browser windows, the Search app's navigation bar is hidden. To use the navigation bar, click the menu icon on the higher right. The navigation bar slides down.

After you choose associate dataset, Splunk net takes you to the Pivot Editor wherever you'll be able to produce a pivot mistreatment the fields that area unit on the market to you. Your pivot will take the shape of a table or chart. attend the "Design pivots with the Pivot Editor" topic during this manual to find out a way to use the Pivot Editor to form a table, chart, or different mental image with Pivot.

About datasets, briefly
The precise composition of a knowledgeset is decided by the kind of dataset you decide on and also the means the dataset has been outlined by your data model administrator. There area unit four dataset types:

Event datasets represent a collection of events. Root event datasets area unit outlined by constraints (see below).
Transaction datasets represent transactions--groups of events that area unit connected in how, like events associated with a firewall intrusion incident, or the net reservation of a chamber by one client.
Search datasets represent the results of associate absolute search. Search datasets area unit generally outlined by searches that use reworking or streaming commands to come leads to table format, and that they contain the results of these searches.
Child datasets may be another to any dataset. They represent a set of the dataset encompassed by their parent dataset. you will need to base a pivot on a toddler dataset as a result of it represents a selected chunk of data--exactly the chunk you wish to figure with for a selected report.
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