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Implementing Splunk (Update)

Implementing Splunk (Update)

By : VINCENT BUMGARNER, James D. Miller
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Implementing Splunk (Update)

Implementing Splunk (Update)

4.5 (4)
By: VINCENT BUMGARNER, James D. Miller

Overview of this book

If you are a data analyst with basic knowledge of Big Data analysis but no knowledge of Splunk, then this book will help you get started with Splunk. The book assumes that you have access to a copy of Splunk, ideally not in production, and many examples also assume you have administrator rights.
Table of Contents (15 chapters)
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14
Index

Using search terms effectively

The key to creating an effective search is to take advantage of the index. The Splunk index is effectively a huge word index, sliced by time. The single most important factor for the performance of your searches is how many events are pulled from the disk. The following few key points should be committed to memory:

  • Search terms are case insensitive: Searches for error, Error, ERROR, and ErRoR are all the same thing.
  • Search terms are additive: Given the search item, mary error, only events that contain both words will be found. There are Boolean and grouping operators to change this behavior; we will discuss in this chapter under Boolean and grouping operators.
  • Only the time frame specified is queried: This may seem obvious, but it's very different from a database, which would always have a single index across all events in a table. Since each index is sliced into new buckets over time, only the buckets that contain events for the time frame in question...
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