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Mastering Splunk

You're reading from   Mastering Splunk Optimize your machine-generated data effectively by developing advanced analytics with Splunk

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781782173830
Length 344 pages
Edition 1st Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (13) Chapters Close

Preface 1. The Application of Splunk FREE CHAPTER 2. Advanced Searching 3. Mastering Tables, Charts, and Fields 4. Lookups 5. Progressive Dashboards 6. Indexes and Indexing 7. Evolving your Apps 8. Monitoring and Alerting 9. Transactional Splunk 10. Splunk – Meet the Enterprise A. Quick Start Index

Splunk bucketing

The Splunk bucketing option allows you to group events into discreet buckets of information for better analysis. For example, the number of events returned from the indexed data might be overwhelming, so it makes more sense to group or bucket them by a span (or a time range) of time (seconds, minutes, hours, days, months, or even subseconds).

We can use the following example to illustrate this point:

tm1* error | stats count(_raw) by _time source

Notice the generated output:

Splunk bucketing

Here is an additional example:

tm1* error | bucket _time span=5d | stats count(_raw) by _time source

The output obtained is as follows:

Splunk bucketing

Reporting using the timechart command

Similar to the chart command, timechart is a reporting command for creating time series charts with a corresponding table of statistics. As discussed earlier, timechart always generates a _time x-axis (while with chart, you are able to set your own x-axis for your chart visualization). This is an important difference as the following commands...

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