Categoría: Búsqueda de texto completo
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Full-Text Search – 5 Tips To Improve Your Query Performance
Tuning the search query performance is a very important aspect of Full-Text Search as it helps business-critical applications in meeting the SLA requirements of latency and throughput. Without much preamble, let me share a…
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Text Analysis within a Full-Text Search Engine
Full-Text Search refers to techniques for searching text content within a document or a collection of documents that hold textual content. A Full-Text search engine examines all the textual content within documents as it…
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FHIR Data Model with Couchbase N1QL
Couchbase is a JSON database that has now become an alternative to the traditional RDBMS. It has achieved this, not only by providing the industry-leading Key-Value store and the same query and ACID translation…
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Introducción a Couchbase para desarrolladores de MongoDB y expertos en NoSQL
Hace seis mil años, los sumerios inventaron la escritura para el procesamiento de transacciones — Gray & Reuter Por cualquier medida, MongoDB es una popular base de datos JSON orientada a documentos. En la última docena de años, ha crecido desde…
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Introducing Geo Bounded Polygon Query in Full Text Search
Geo Bounded Polygon Query The ability to perform text search with geospatial query capabilities is a very powerful and effective feature from full text search(FTS). And we are bringing the more flexible geo bounded…
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Few Index Management Tips – FTS Best Practices Part II
We have already seen a handful of best practices for defining an FTS index in part1, now let’s explore a few useful tips about the operational and maintenance aspects of an index. A…
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Running FTS Queries in N1QL
We already discussed how the Like % clause is potentially harmful for your application at scale, and why you should consider using Couchbase Full-Text Search instead. One thing we haven’t mentioned yet is why you…
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Customer 360 – Part 4 – Analyzing Your Data
OK, so we’ve looked at building aspects of a Customer 360 solution in previous posts. We looked at an overview of what’s involved in part 1, and since you’re reading this, I’m assuming that…
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Build autocomplete or typeAhead using Full Text Search
What is Autocomplete vs Type Ahead? Autocomplete as the wikipedia says “Autocomplete, or word completion, is a feature in which an application predicts the rest of a word a user is typing” It is…
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FTS Performance Improvements in 6.5.0 – Part 2
For all those who are restlessly eager, let me reveal the deep dark secret of all the performance optimisations in FTS in 6.5.0 is, “ Do less And Do it less often ** ”…
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A Glimpse of FTS Performance Improvements in 6.5.0 – Part 1
Ever since the nimbler, refined `scorch` indexing format released in Couchbase 6.0.0, the FTS team has been pretty excited about the future optimisation potential unlocked with the newer indexing scheme. With the 6.5.0 release,…
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Búsqueda en JSON: comparar la búsqueda de texto en Couchbase y MongoDB.
“Las aplicaciones sin búsqueda son como la página de inicio de Google sin la barra de búsqueda. Es difícil diseñar una aplicación sin una buena búsqueda. Hoy en día, también es difícil encontrar una base de datos sin búsqueda integrada...