Elasticsearch notes

Elasticsearch vs RDBMS concepts: You can (roughly) think of an Elastic index like a RDBMS database.   MySQL => Databases => Tables => Rows=>Columns Elasticsearch => Indices(database) => Types(tables) => Documents(rows) with Properties(columns) An Elasticsearch cluster can contain multiple Indices (databases), which in turn contain multiple Types(tables). These types hold multiple Documents (rows), and each document has Properties(columns). A ES mapping … Continue reading Elasticsearch notes

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