ELK Stack
Elacticsearch, Kibana, Logstash
Elasticsearch
How data processing before building Index
- Operation of
Text field
andAnalyzer
- Behind the full-text search mechanism, how text processing through
Lucene
- Behind the full-text search mechanism, how text processing through
- Dynamic Mapping practical tips
- Uniform naming convention ->
dynamic_templates
- carefully setting
dynamic templates
- Turn off dynamic fields mapping
- X
dynamic: false
- V
dynamic: strick
- X
- Turn off
date
ornumber
automatic judgment
- Uniform naming convention ->
- Index Template Recommendation
- Index Alias
keyword type vs. text datatype
When to use the keyword type vs. text datatype in Elasticsearch | ObjectRocket
Ref
Kibana
Kibana is a free and open user interface that lets you visualize your Elasticsearch data and navigate the Elastic Stack. Do anything from tracking query load to understanding how requests flow through your apps.
- UI Dashboard
- Widgets / Visualization
Logstash
- Input / Transform /stash
Application Architecture Reference
\( \uparrow \) image ref: Building a real-time elastic search engine using Python, Easticsearch, React, Redux, and K8
\( \uparrow \) image ref: Using Amazon ElasticSearch to Improve Performance when Querying Data in MySQL
Last modified September 30, 2022: update wiki (2237e1f)