Understand Elasticsearch’s core components and operating principles.

Learning Path#

Foundational Concepts#

  1. Core Components - Cluster, Node, Index, Document, Shard
  2. Data Modeling - Mapping, Field Type, Analyzer
  3. Query DSL - Match, Term, Bool query writing
  1. Search Relevance - Score, BM25, Boosting
  2. Aggregations - Bucket, Metric, Pipeline aggregations

Operations#

  1. Indexing Strategy - Bulk, Refresh, Index Lifecycle
  2. Cluster Management - Node configuration, Shard allocation
  3. Performance Tuning - Query optimization, Caching
  4. High Availability - Replica, Snapshot, Failure response

Advanced Features#

  1. Vector Search (kNN) - Semantic search, Similar product recommendations, Embeddings
  2. Korean Search Optimization - Nori analyzer, Autocomplete, Initial consonant search
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