September 2024
Intermediate to advanced
432 pages
13h 23m
Spanish
book
Cassandra: La Guía Definitiva, (Revisada) Tercera Edición, 3ª Edición
by Jeff Carpenter, Eben Hewitt
Content preview from Cassandra: La Guía Definitiva, (Revisada) Tercera Edición, 3ª Edición
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Capítulo 9. Escritura y lectura de datos
Este trabajo se ha traducido utilizando IA. Agradecemos tus opiniones y comentarios: translation-feedback@oreilly.com
Ahora que entiendes el modelo de datos y cómo utilizar un cliente sencillo, vamos a profundizar en los distintos tipos de consultas que puedes realizar en Cassandra para escribir y leer datos. También echaremos un vistazo entre bastidores para ver cómo Cassandra gestiona tus consultas. Comprender estos detalles te ayudará a diseñar consultas que funcionen bien y ofrezcan el comportamiento que necesitas.
Al igual que en el capítulo anterior, hemos incluido ejemplos de código utilizando el controlador Java de DataStax para ayudar a ilustrar cómo funcionan estos conceptos en la práctica.
Escribir
Empecemos señalando algunas propiedades básicas de la escritura de datos en Cassandra. En primer lugar, la escritura de datos es muy rápida en Cassandra, porque su diseño no requiere realizar lecturas o búsquedas en disco. Las memtables y las SSTables evitan que Cassandra tenga que realizar estas operaciones en las escrituras, lo que ralentiza muchas bases de datos. Todas las escrituras en disco en Cassandra son sólo de tipo append.
Gracias al registro de confirmaciones de la base de datos y al diseño de handoff insinuado, siempre se puede escribir en la base de datos, y dentro de una fila, las escrituras son siempre atómicas.
Niveles de coherencia de escritura
Los niveles de consistencia ajustables de Cassandra significan que puedes ...
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