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Artículos escritos por Adrien Grand

Tech Lead, Elastic

Tech Lead, Elasticsearch

Adrien is a Lucene committer at The Apache Software Foundation and a software engineer at Elastic, where he works on improving Elasticsearch. He has worked with Apache Lucene for a decade. When he’s not tackling search-related problems from his home in Normandy, France, he enjoys horseback riding.

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Bringing speedups to top-k queries with many and/or high-frequency terms

Apache Lucene is combining two optimizations for evaluating disjunctive queries, bringing significant speedups to top-k queries, especially with many terms and/or high-frequency terms.

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Achieve faster cardinality aggregations via dynamic pruning

Elasticsearch 8.9 introduces optimizations to cardinality aggregations by filtering out documents whose value has already been collected.

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Vector search in Elasticsearch: The rationale behind the design

There are different ways to implement a vector database, which have different trade-offs. In this blog, you'll learn more about how vector search has been integrated into Elastisearch and the trade-offs that we made.

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How we sped up data ingestion in Elasticsearch 8.6, 8.7, and 8.8

Data ingestion involves a lot of things that usually take a non-negligible amount of time. Fortunately, we've got improvements in 8.6, 8.7, and 8.8, which enabled some good speedups for end-to-end ingestion.

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Próximamente en la versión 7.7: Disminuye de forma significativa tu uso de memoria heap de Elasticsearch

Elasticsearch 7.7 usará mucha menos memoria heap que las versiones anteriores, lo que mejora la estabilidad del cluster de Elasticsearch y reduce el costo de almacenar grandes cantidades de datos.

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Adiós, tipos. Hola, lenguajes sin tipos.

Elasticsearch 7.0 removió el uso de las API que aceptan tipos, presentó nuevas API sin tipo y eliminó el soporte para el mapping del tipo _default_.