Full-text search with Elasticsearch: indexing, querying, and optimization Full-text search is one of the most requested features in modern applications. Elasticsearch provides powerful, scalable full-text search that handles typos, synonyms, ranking, and aggregation. But a poorly configured Elasticsearch cluster can be slow, unstable, and expensive. Indexing is the process of making your data searchable. Define an index mapping that specifies the fields, their data types, and how they should be analyzed. The analyzer determines how text is tokenized, filtered, and normalized. Use the standard analyzer for general text. Query DSL is Elasticsearch's powerful query language. The match query is your default for full-text search. Use term queries for exact matches on keyword fields. Use bool queries to combine multiple conditions. Use function_score to boost results based on recency or popularity. Performance optimization starts with index design.…