Knowledge Management

Understand TSIDX file

AliMaher
Path Finder

Hello Splunker,

Hope you had a great day!

as per the below picture :

STEP - Splunk Training and Enablement Platform- Data Models (eLearning)_4.mp4_20240704_233648.102.jpg

 

 

 

 

 

 

Q1:- I need to understand the exact process of creating the TSIDX file and its content and how actually it speeds the search?

Q2:- Why the size of the tsidx file is bigger than the raw data itself 35% /15%?

Q3:- what is the difference between tsidx file and datamodel summary?

I am expecting a long answer and more details, actually i like details!

Thanks in advance!

 

Labels (3)
0 Karma

tscroggins
Champion

Hi @AliMaher,

Archived .conf content is a great place to start. Behind The Magnifying Glass: How Search Works by Jeff Champagne provides a nice overview, and TSTATS and PREFIX by Richard Morgan is fantastic.

Try searching conf.splunk.com using your favorite search engine for the term tsidx, e.g. using Google:

https://www.google.com/search?q=site%3Aconf.splunk.com+tsidx 

PickleRick
SplunkTrust
SplunkTrust

Q1. You don't need to understand the internal structure of the tsidx but it's useful to know what is being indexed and how it's being used in searching - it helps writing efficient searches.

Q2. Raw data is stored in compressed (gzipped if I remember correctly) form - hence the low footprint of "raw" data - 1/9th is the typical size of gzipped textual data.

Q3. That's a question akin to "what's a difference between a sports car and a red one" (apart from the obvious fact that red ones are the fastest ones 😉). But seriously. Tsidx is a file format used by Splunk to store its internal structures. Datamodel summary is a concept on a completely different level. In fact datamodel summaries are stored using tsidx files.

AliMaher
Path Finder

Great!
what is the datamodel summarization?

0 Karma

PickleRick
SplunkTrust
SplunkTrust

In case of datamodel it's called acceleration. It's a process which runs a scheduled search extracting fields from datamodel data and indexing them in tsidx summary files for efficient searching later.

0 Karma
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