{"id":1813,"date":"2014-12-16T17:50:34","date_gmt":"2014-12-16T17:50:34","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=1813"},"modified":"2023-06-28T01:22:37","modified_gmt":"2023-06-28T08:22:37","slug":"understanding-performance-benchmark-published-cisco-and-solarflare-using-couchbase-server","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/es\/understanding-performance-benchmark-published-cisco-and-solarflare-using-couchbase-server\/","title":{"rendered":"Comprensi\u00f3n de la referencia de rendimiento publicada por Cisco y Solarflare utilizando Couchbase Server"},"content":{"rendered":"

De vez en cuando, los usuarios que buscan ejecutar Couchbase Server en producci\u00f3n preguntan sobre el rendimiento de Couchbase Server, as\u00ed como los resultados de tiempo de respuesta y rendimiento para cargas de trabajo t\u00edpicas. Recientemente Cisco y Solarflare publicaron un whitepaper presentando los resultados de un benchmark que ejecutaron en los Cisco Labs usando Couchbase Server como base de datos NoSQL. Mientras que el benchmark fue dise\u00f1ado espec\u00edficamente para demostrar los beneficios de 10Gig Ethernet, as\u00ed como las optimizaciones a nivel de kernel, tambi\u00e9n demuestra algunas fortalezas clave de Couchbase Server que nuestros clientes han llegado a amar y confiar en sus despliegues de producci\u00f3n. Este blog destaca algunos detalles adicionales y conocimientos obtenidos de ese ejercicio de evaluaci\u00f3n comparativa.<\/p>\n

El benchmark ejecut\u00f3 dos conjuntos de pruebas, ambos con una carga de trabajo mixta con 70% de lecturas y 30% de escrituras. En la primera prueba, el tama\u00f1o del documento almacenado vari\u00f3 de 128 bytes a 16 KB y se midi\u00f3 la latencia media de las operaciones de lectura y escritura de extremo a extremo (del cliente al servidor de base de datos y viceversa) para distintas configuraciones de red.<\/p>\n

El gr\u00e1fico 1 muestra los resultados y demuestra que Couchbase Server es rid\u00edculamente r\u00e1pido<\/strong> con respuestas de microsegundos incluso en una Ethernet de 1 Gig y un tama\u00f1o de documento de 16 KB. La latencia fue inferior a 200 \u03bcseg utilizando una Ethernet de 10Gig para documentos de todos los tama\u00f1os e inferior a 500 \u03bcseg para todos los casos. Pero lo m\u00e1s importante es que demuestra latencia constante y previsible<\/strong> (Gr\u00e1fico de latencia plana en 10GigE, mientras que los documentos m\u00e1s grandes tardan algo m\u00e1s en transferirse en una red de 1GigE). Este aspecto clave desempe\u00f1a un papel importante en la experiencia de usuario de las aplicaciones web.<\/p>\n

\"Benchmark-blog-Chart1\"<\/p>\n

Gr\u00e1fico 1<\/em><\/strong><\/p>\n

En la segunda prueba, se midi\u00f3 el rendimiento medio a medida que se a\u00f1ad\u00edan nodos al cl\u00faster de Couchbase, de 1 a 5 nodos.<\/p>\n

\"Benchmark-blog-Chart2\"<\/p>\n

Gr\u00e1fico 2<\/em><\/strong><\/p>\n

En el gr\u00e1fico 2 se puede ver que, incluso con s\u00f3lo 4 nodos, el rendimiento es de casi 1,15 millones de operaciones. por segundo<\/em>. Acerca de 1,4 GB por segundo<\/em><\/strong> de datos se transfiere realmente entre el servidor de la base de datos y el cliente. \u00a0Alto rendimiento de escritura<\/strong> incluso con documentos de 1 KB de tama\u00f1o considerable. Aunque un alto rendimiento puede ser un requisito para algunas aplicaciones, esta prueba tambi\u00e9n mostr\u00f3 rendimiento lineal<\/strong> a medida que se a\u00f1aden m\u00e1s servidores al cl\u00faster: 0,62 millones de ops \/ seg con 2 nodos y 1,15 millones de ops \/ seg con 4 nodos.<\/p>\n

Puede que se pregunte c\u00f3mo este nivel de rendimiento de la base de datos<\/a> es factible. En el centro est\u00e1 la arquitectura y el dise\u00f1o de Couchbase Server:<\/p>\n

    \n
  1. Una arquitectura de nada compartida en la que todos los nodos son id\u00e9nticos e independientes permite una escalabilidad lineal<\/li>\n
  2. Las claves se reparten autom\u00e1ticamente por todo el cl\u00faster y se distribuyen uniformemente tanto si el cl\u00faster tiene 1 como 8 nodos.<\/li>\n
  3. La baja granularidad de los bloqueos de Couchbase y la m\u00ednima contenci\u00f3n permiten un alto rendimiento de escritura.<\/li>\n
  4. Las lecturas se producen independientemente de las escrituras y de forma simult\u00e1nea, lo que permite un alto rendimiento de lectura independientemente del n\u00famero de escrituras.<\/li>\n
  5. El nivel de cach\u00e9 gestionado integrado permite respuestas de baja latencia constantes<\/li>\n<\/ol>\n

    A continuaci\u00f3n he incluido algunos detalles adicionales sobre la configuraci\u00f3n de Couchbase Server para el benchmark. Espero que hayas encontrado este blog \u00fatil, y te animo a descargar Couchbase Server<\/a> para ver si se adapta bien a tu aplicaci\u00f3n web.<\/p>\n

    Otras notas<\/strong><\/p>\n

    A continuaci\u00f3n se ofrecen algunos detalles adicionales sobre la configuraci\u00f3n del banco de pruebas:<\/p>\n

    Se utilizaron ocho nodos que ejecutaban Couchbase Server 1.8.0 como servidores de bases de datos NoSQL, y un nodo se utiliz\u00f3 para ejecutar las pruebas. Couchbase Server se configur\u00f3 con una r\u00e9plica. Se utiliz\u00f3 un servidor como cliente para ejecutar la carga de trabajo. El generador de carga de trabajo utilizado para la prueba fue mcsoda<\/a> generador de carga de streaming de c\u00f3digo abierto con una mezcla de operaciones GET y SET en una proporci\u00f3n de 70:30.<\/p>\n

    M\u00e1s informaci\u00f3n sobre el generador de carga de trabajo aqu\u00ed<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"

    Every so often, users looking to run Couchbase Server in production will ask about Couchbase Server performance as well as results of response time and throughput for typical workloads. Recently Cisco and Solarflare published a whitepaper presenting the results of […]<\/p>","protected":false},"author":44,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"ppma_author":[8998],"class_list":["post-1813","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"\nUnderstanding Performance benchmark by Cisco and Solarflare<\/title>\n<meta name=\"description\" content=\"This blog focus on details and insights gained from the whitepaper published by Cisco and Solarflare using Couchbase Server through benchmarking exercise.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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