Improving query performance in ElasticSearch at scale

The architecture of systems that operate at large scale is usually highly specific to the application—there is no such thing as a generic, one-size-fits-all scalable architecture (informally known as magic scaling sauce). The problem may be the volume of reads, the volume of writes, the volume of data to store, the complexity of the data, the respo

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combines scattered data fragments. Proper indexing is again the best solution to reduce response times. The correct index however depends on which of the three common join algorithms is used for the query.