Designing & Evolving a User-oriented API in Elasticsearch
summary
Elasticsearch is a real‑time distributed search and analytics engine built on Lucene that indexes everything into immutable segments, merges them in the background, and uses a transaction log plus a refresh every 1 second for near‑real‑time visibility. Aggregations run by un‑inverting the index using field data (or disk doc values), enabling fast metrics and bucket queries; significant terms surfaces surprising patterns (e.g., Cambridge bike thefts, airport gun incidents). Sharding, fixed primary counts, and replicas handle scale and failover.
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chapters (17)
- 0:00Start
- 1:13how does it work?
- 1:25making text searchable
- 16:03building the inverted index
- 19:17near real-time search
- 19:50lucene flush
- 20:23don't lose data
- 21:32elasticsearch flush
- 22:27reduce segments
- 23:51merge process
- 24:53scale out, not up
- 25:27"node" running instance of elasticsearch one server
- 26:48scaling elastically
- 28:05add redundancy
- 28:22"replica shard(s)" copy of primary shard
- 32:13the master node
- 33:17cluster state
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