How we use Elasticsearch and Clojure to provide autosuggest functionality at Workframe, Inc. This are the slides from a short, 20 min talk, at Clojure NYC, given on December 13th 2017.

1. Elasticsearch @
Workframe
• What we use it for
• How we use it
• How we configure it
• Some Code

2. •Log aggregation via ELK
•Drive search features on the site
•Furniture Search
“Elasticsearch is a distributed, RESTful search and analytics engine
capable of solving a growing number of use cases.”

4. Search First, Ask Questions Later
(Autosuggest)

5. Basic Search Architecture
search service
elasticsearch
indexer
database
new products and updates
search client

6. • Multiple Indexes, no downside?
• Indexing is a one-way street
A Couple of Key Points

7. • Settings - Index-wide settings: i.e. custom
filters, synonyms, stop words, etc.
• Mappings - Attributes of documents in the
system
• Query - Ask Elasticsearch for results matching
a term

8. Spandex
Clojure wrapper for Elastic’s Java REST client
https://github.com/mpenet/spandex

9. Some Code
• index.core
• indexer.[core autosuggest]
• query.[core autosuggest]
blueant - indexer service and query lib

10. Thanks for listening to
me talk about
Elasticsearch and also
providing oxygen to
the workers on Mars.