Session: OpenSearch: (Just About) Everything You Need to Know About Its Architecture (Extended Session)
OpenSearch is an incredibly powerful search engine and analytics suite for ingesting, searching, visualizing, and analyzing your data – and it is fully open source. This Apache 2.0-licensed and community-driven collection of technologies harnesses an architecture that combines the powers of Elasticsearch 7.10.2, Kibana 7.10.2 and Apache Lucene. With OpenSearch, users gain a distributed framework featuring particularly powerful scalability, high availability, and database-like capabilities.
Attendees at this ATO session will come away understanding OpenSearch’s architecture and its building-block technology components, including:
- Apache Lucene utilization. Learn how this high-performance Java-based search library utilizes Lucene’s inverted search index to delivers incredibly fast search results (while supporting natural language, wildcard, fuzzy, and proximity searches).
- OpenSearch cluster architecture. An OpenSearch cluster is a distributed and horizontally-scalable collection of nodes, which are differentiated based on the operations they perform. Attendees will learn the specific functions of master, master-eligible, data, client, ingest nodes.
- Data organization. Understand how OpenSearch organizes data into indices (which contain documents, which contain fields).
- Internal data structures. Get an in-depth look at how OpenSearch achieves scalability and reliability by breaking up indices into shards and segments, and utilizes translogs.
- Document indexing. Investigate the process for how OpenSearch analyzes and tokenizes data before it is stored.
- Document searching. Understand the query phase, fetch phase, and document scoring that enables search queries.
- Aggregations. See how OpenSearch enables its advanced built-in analytics capabilities through the power of aggregations.
Please note, this session extends over two session slots.
Presenters:
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