OpenSearch Helps You to Adopt a Friend
summary
Loads ~5,000 pet records into OpenSearch using Python and the OpenSearch client with bulk helpers, then runs concrete queries: numeric range (weight, birthdate), single and multi-match, automatic fuzzy queries, and boolean combinations. Dashboards use an index pattern, Discover filters and devtools queries, plus visualizations (tag cloud, histogram and a range slider). Filters cut results from ~5,000 hits to 183 then 27. The demo dashboards and queries run and return usable adoption candidates.
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chapters (10)
- 0:00Start
- 2:09What Is Open Search
- 2:35Key Features of Open Search
- 3:04What Are some of the Power of Open Search in Action
- 7:55What Is Index
- 11:24Send the Data to the Open Search Cluster
- 17:09Multi-Match
- 19:58Boolean Queries
- 21:38Create a New Index Pattern
- 31:05Dashboard Visualization
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