Search optimization is a technique for making your search run as efficiently as possible.
When not optimized, a search often runs longer, retrieves larger amounts of data from the indexes than is needed, and inefficiently uses more memory and network resources. Multiply these issues by hundreds or thousands of searches and the end result is a slow or sluggish system.
Overview
This three-hour SPLK-SO: Search Optimization course is for power users who want to improve search performance. Topics will cover how search modes affect performance, how to create an efficient basic search, how to accelerate reports and data models, and how to use the tstats command to quickly query data.
Skills Covered
Please refer to course overview.
Prerequisites
To be successful, students should have a solid understanding of the following:
- How Splunk works
- Creating search queries
- Creating reports and data models
Target Audience
Everyone can attend.
Module 1: Optimizing Search
- Understand how search modes affect performance
- Examine the role of the Splunk Search Scheduler
- Review general search practices
Module 2: Report Acceleration
- Define acceleration and acceleration types
- Understand report acceleration and create an accelerated report
- Reveal when and how report acceleration summaries are created
- Search against acceleration summaries
Module 3: Data Model Acceleration
- Understand data model acceleration
- Accelerate a data model
- Use the datamodel command to search data models
Module 4: Using the tstats Command
- Explore the tstats command
- Search acceleration summaries with tstats
- Search data models with tstats
- Compare tstats and stats
Exam & Certification
This course is not associated with any Certification.
Training & Certification Guide
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