Warning: This training material has not really been designed for self guidance. It assumes an instructor will verbally explain a lot of the material.
This material also assumes that you have already covered the basics including simple queries, index mappings, relevancy scoring, and custom analysers.
See, for example, https://jamesfer.me/intro-elasticsearch-training/#1
- Nodes, shards, replicas, master nodes
- Query profiling
- Aggregations
- Nested objects
- Parent/child docs
- Field Collapsing
- Geospatial data
- Logstash
- Suggesters
- Controlling scores
- Percolators
You need to install various software tools.
Requirements:
- Docker (if on OSX, Docker for Mac is recommended)
- docker-compose
There are scripts in the scripts directory that use docker-compose to create, stop and destroy an Elasticsearch + Kibana environment.
If you have previously run a different version of Elasticsearch with these scripts,
especially anything before version 7.17.5
then it may be best to destroy your existing Elasticsearch data with scripts/destroy.
Create an environment with:
scripts/upElasticsearch should now be available on http://localhost:9200
Kibana should now be available on http://localhost:5601
Stop the environment with:
scripts/downData is persisted so a subsequent scripts/up will start up ES and Kibana with your data still there.
Cleanup the environment and delete all data with:
scripts/destroy