~/talk

Getting Started with the OpenSearch Core Codebase

Talkat OpenSearchCon 2022 · on Wednesday, 2022-09-21· [open-source, compilers-and-language-design]
links:none on file
slides:none on file

Covers the core Lucene-based stack: fields → documents → segments with flush and commit, BKD numeric tree (up to eight dimensions), and the three-node minimum for cluster manager elections; explains how to make a plugin by subclassing the Plugin API, using Java annotations open search API/internal/experimental, and securing with a plugin-security.policy; outlines day-to-day dev commands and CI: ./gradlew w precommit and gradle check, micro and macro benchmarking with opensearch-benchmark execute-test (pip install) and the branching/backport automation that targets main and release branches.

AI-written summary · about

  1. 0:00Intro
  2. 0:17Up next... Getting Started with the OpenSearch Core Codebase
  3. 2:18A "Five Stroke" Engine The components...
  4. 3:10Fields ...the Inverted [text] Index
  5. 7:22Documents ...a collection of related fields
  6. 9:05Index ...a collection of related documents
  7. 11:35Node ...a single OpenSearch process
  8. 13:43Cluster ...a collection of nodes
  9. 16:48Extending OpenSearch Internal and External extension points...
  10. 18:34Plugin Extension Points
  11. 20:08Extending OpenSearch External vs Internal extensions...
  12. 21:00Prototype features...
  13. 22:17Extending OpenSearch Maintaining security...
  14. 23:11Developing OpenSearch Branching...
  15. 25:02Developing OpenSearch Writing tests...
  16. 27:54Developing OpenSearch Building...
  17. 29:01Developing OpenSearch Benchmarking...
  18. 29:47Micro Benchmarking...
  19. 32:33Developing OpenSearch Contributing...
  20. 33:28Developing OpenSearch Where to begin...
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