Beginner’s Crash Course to Elastic Stack - Part 5: Mapping

This workshop is Part 5 of the Beginner’s Crash Course to Elastic Stack.

Beginner’s Crash Course is a series of workshops for all developers with little to no experience with Elasticsearch and Kibana or those who could use a refresher.

Mapping is the process of defining how a document and its fields are indexed and stored. It defines the data type and format of the fields in the documents. As a result, mapping can significantly affect how Elasticsearch searches and stores data.

Join Elastic Developer Advocate Lisa Jung(@lisahjung) to learn how to customize mapping that best serves your goals!

Time Stamp:
Review from previous workshop 5:56
What is Mapping? 9:12
Dynamic mapping 9:50
View the mapping 11:50
Indexing strings 13:28
Text field type(text analysis, inverted index) 15:30
Keyword field type(doc values) 18:55
Mapping exercise 21:10
Defining your own mapping 26:48
What to do when you need to make changes to the field type? 38:27
Runtime field 43:36

Resources
Table of Contents for Beginner’s Crash Course to Elastic Stack:
https://ela.st/beginners-table-of-con...

The link above includes the table of contents for all repos shared during the course.

These repos contain all the resources shared during the workshops including the presentation slides, the recording, as well as Elasticsearch requests.

Be sure to check out Part 5 repo as you follow along!

Questions? Ask us on discuss.elastic.co

Connect with us in our Slack workspace: https://ela.st/slack