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Optimizing Ingest Pipeline and Scripting in Elasticsearch
The chapter emphasizes optimizing the ingest pipeline in Elasticsearch by discussing the CPU-intensive nature of tasks and the potential bottleneck of using regular expressions. It introduces scripting languages like grok and painless, highlighting their roles in parsing and querying efficiency. The conversation transitions to the relationship between Elasticsearch and Lucene, Elastic's contributions, vector searches with HNSW, and the importance of upgrading Elasticsearch clusters for performance and security.