Elasticsearch - Beyond Full-text Search
summary
Elasticsearch runs as a JSON over HTTP distributed document store with automatic field typing, shard + replica scaling, and plugins and clients for many languages; examples show aggregations replacing heavy reindexing to compute date histogram buckets (720 daily hourly buckets vs a 24‑hour scripted histogram), realtime percolation alerts for price/metric thresholds via a percolator and a metrics reporter that posts every 60s, and visual dashboards with Kibana dashboard and Logstash ingestion used by SoundCloud, GitHub, Foursquare and StackOverflow.
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chapters (17)
- 0:00Start
- 1:49Unstructured search
- 2:25Enrichment
- 2:38Sorting
- 2:51Pagination
- 3:04Aggregation
- 3:20Suggestions
- 5:24Zero configuration
- 6:05Index & search data
- 8:05Distributed
- 15:15Order as JSON
- 15:44Asking questions to your data
- 20:53Kibana
- 25:42Meet the metrics library!
- 29:27Percolation support
- 30:12Cockpit - Sample App
- 32:44Aggegrations
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