{"id":1851,"date":"2014-12-24T00:19:18","date_gmt":"2014-12-24T00:19:18","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=1851"},"modified":"2014-12-24T00:19:18","modified_gmt":"2014-12-24T00:19:18","slug":"pure-storage-and-couchbase","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/pure-storage-and-couchbase\/","title":{"rendered":"Armazenamento de perfil de usu\u00e1rio Pure Storage, Couchbase e Node.js"},"content":{"rendered":"

Ultimamente, h\u00e1 muito burburinho em torno do armazenamento de classe empresarial. A Pure Storage, l\u00edder reconhecida no setor, recentemente nos deu a oportunidade de implantar o Couchbase em um de seus ambientes de laborat\u00f3rio. O cluster de 8 n\u00f3s foi capaz de sustentar facilmente uma carga de trabalho de 1 milh\u00e3o de opera\u00e7\u00f5es\/segundo com 100% de grava\u00e7\u00e3o. Uma carga de trabalho de 1.000.000 de grava\u00e7\u00f5es\/segundo foi gerada usando nossa ferramenta pillowfight executada em um dos n\u00f3s do cluster com os seguintes par\u00e2metros:<\/p>\n

\n
\/<\/span>usr\/<\/span>caixa\/<\/span>cbc–<\/span>briga de travesseiros –<\/span>U couchbase:<\/span>\/\/10.21.16.121\/default -m 64 -M 64 -c -1 -I 300000000 -r 100 -t 18 -B 2500<\/span><\/div>\n<\/div>\n

Essa carga de grava\u00e7\u00e3o sustentada de 1 milh\u00e3o de grava\u00e7\u00f5es por segundo do cluster tem a seguinte apar\u00eancia:<\/span><\/p>\n

<\/p>\n

Essa carga de trabalho, embora impressionante, n\u00e3o exercitou nem um pouco a matriz de armazenamento. De fato, foi dif\u00edcil localizar muita carga no Pure Dashboard. O motivo disso \u00e9 que, com o pillowfight, utilizamos exclusivamente um documento de 64 bytes. \u00c9 uma carga de trabalho perfeitamente razo\u00e1vel quando se considera um caso de uso da Internet das coisas com muitas chaves\/valores pequenos gravados em alta velocidade. E quanto a um caso de uso de armazenamento de perfil de usu\u00e1rio? Qual seria o desempenho de uma carga de trabalho de grava\u00e7\u00e3o 100% de alta velocidade nesse ambiente usando um aplicativo do mundo real e dados de perfil de usu\u00e1rio com estilo realista? \u00a0<\/p>\n

Chicote de teste<\/h2>\n

Para esse aplicativo, \u00e9 necess\u00e1rio um gerador de carga e um conjunto de testes de r\u00e1pida implanta\u00e7\u00e3o, e o node.js \u00e9 a plataforma perfeita. O c\u00f3digo-fonte est\u00e1 dispon\u00edvel em github<\/a> . Primeiro, \u00e9 necess\u00e1rio um objeto de camada de dados com um m\u00e9todo de cria\u00e7\u00e3o:<\/p>\n

\n
var<\/span> couchbase =<\/span> exigir(<\/span>'couchbase'<\/span>)<\/span>;<\/span>
\nvar<\/span> ponto final=<\/span>“10.21.16.121:8091”<\/span>;<\/span>
\nvar<\/span> agrupamento =<\/span> novo<\/span> couchbase.Aglomerado<\/span>(<\/span>ponto final)<\/span>;<\/span><\/p>\n

var<\/span> db =<\/span> agrupamento.openBucket<\/span>(<\/span>\"usu\u00e1rio\"<\/span>,<\/span>fun\u00e7\u00e3o<\/span> (<\/span>erro)<\/span> {<\/span>
\n\u00a0 \u00a0 se<\/span> (<\/span>erro)<\/span> {<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 console.registro<\/span>(<\/span>'=>ERRO DE CONEX\u00c3O DO BANCO DE DADOS:'<\/span>,<\/span> erro)<\/span>;<\/span>
\n\u00a0 \u00a0 }<\/span>
\n}<\/span>)<\/span>;<\/span><\/p>\n

fun\u00e7\u00e3o<\/span> criar(<\/span>chave,<\/span> item<\/span>)<\/span>{<\/span>
\n\u00a0 \u00a0 db.upsert<\/span>(<\/span>chave,<\/span> item<\/span>,<\/span> fun\u00e7\u00e3o<\/span>(<\/span>erro,<\/span> resultado)<\/span>{<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 se<\/span>(<\/span>erro)<\/span>{<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 }<\/span>mais<\/span> {<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 }<\/span>
\n\u00a0 \u00a0 }<\/span>)<\/span>;<\/span>
\n}<\/span><\/div>\n<\/div>\n

Em seguida, \u00e9 necess\u00e1ria uma maneira de criar usu\u00e1rios. A utiliza\u00e7\u00e3o da maravilhosa biblioteca \"faker.js\" para criar usu\u00e1rios simplifica essa tarefa. Usar o faker para criar um usu\u00e1rio \u00e9 incrivelmente simples, e h\u00e1 fun\u00e7\u00f5es auxiliares que abstraem ainda mais essa funcionalidade. Ao criar um simples loop for, os usu\u00e1rios s\u00e3o criados com faker e passados para a camada de dados descrita acima:<\/span><\/p>\n

\n
fun\u00e7\u00e3o<\/span> loadTextUserProfile(<\/span>limite)<\/span>{<\/span>
\n\u00a0 \u00a0 para<\/span>(<\/span>i=<\/span>0<\/span>;<\/span>i<<\/span>limite;<\/span>i++<\/span>)<\/span>{<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 var<\/span> u=<\/span>falsificador.ajudantes<\/span>.Cart\u00e3o de usu\u00e1rio<\/span>(<\/span>)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 conex\u00e3o.db<\/span>.criar<\/span>(<\/span>u.e-mail<\/span>,<\/span>u)<\/span>;<\/span>
\n\u00a0 \u00a0 }<\/span>
\n}<\/span><\/div>\n<\/div>\n

\u00c9 necess\u00e1rio um loop de controle para realizar a ingest\u00e3o no Couchbase:<\/span><\/p>\n

\n
setInterval(<\/span>fun\u00e7\u00e3o<\/span> (<\/span>)<\/span> {<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 checkOps(<\/span>fun\u00e7\u00e3o<\/span>(<\/span>feito)<\/span>{<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 console.registro<\/span>(<\/span>feito)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 se<\/span> (<\/span>parseInt(<\/span>feito,<\/span> 10<\/span>)<\/span> <<\/span> limite)<\/span> {<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 loadTextUserProfile(<\/span>testBatch)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 console.registro<\/span>(<\/span>\"INGEST:Added:\"<\/span>,<\/span>testBatch)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 }<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 mais<\/span> {<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 console.registro<\/span>(<\/span>\"INGEST:Busy:\"<\/span>,<\/span> feito)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 }<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 }<\/span>)<\/span>;<\/span>
\n\u00a0 \u00a0 }<\/span>,<\/span> intervalo de teste
\n)<\/span>;<\/span><\/div>\n<\/div>\n

O loop de controle faz uso da l\u00f3gica de limita\u00e7\u00e3o, que \u00e9 um recurso interessante para qualquer tipo de teste de desempenho e an\u00e1lise de estresse. Essa fun\u00e7\u00e3o chama o endpoint de repouso em um n\u00f3 do cluster e verifica quantas opera\u00e7\u00f5es por segundo o cluster est\u00e1 processando no momento:<\/span><\/p>\n

\n
fun\u00e7\u00e3o<\/span> checkOps(<\/span>opsV)<\/span> {<\/span>
\n\u00a0 \u00a0 http.obter<\/span>(<\/span>\"https:\/\/\"<\/span> +<\/span> ponto final +<\/span> \"\/pools\/default\/buckets\/user\"<\/span>,<\/span> fun\u00e7\u00e3o<\/span> (<\/span>res)<\/span> {<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 var<\/span> dados=<\/span>“”<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 res.setEncoding<\/span>(<\/span>'utf8'<\/span>)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 res.em<\/span>(<\/span>\"dados<\/span>,<\/span> fun\u00e7\u00e3o<\/span> (<\/span>peda\u00e7o)<\/span> {<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 dados +=<\/span> peda\u00e7o;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 }<\/span>)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 res.em<\/span>(<\/span>\"fim<\/span>,<\/span>fun\u00e7\u00e3o<\/span>(<\/span>)<\/span>{<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 var<\/span> analisado=<\/span>JSON.analisar<\/span>(<\/span>dados)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 opsV(<\/span>analisado.Estat\u00edsticas b\u00e1sicas<\/span>.opsPerSec<\/span>)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 }<\/span>)<\/span>;<\/span>
\n\u00a0 \u00a0 \u00a0 \u00a0 }<\/span>)<\/span>;<\/span>
\n}<\/span><\/div>\n<\/div>\n

Resultados<\/span><\/h2>\n

Assim como no caso de uso da Internet das coisas, os resultados de desempenho do armazenamento de perfis de usu\u00e1rios foram impressionantes. Em um curto per\u00edodo de tempo, conseguimos gerar cerca de 500 milh\u00f5es de usu\u00e1rios, com uma carga de trabalho cont\u00ednua de 400.000 grava\u00e7\u00f5es por segundo. \u00a0<\/p>\n

<\/p>\n

Apenas para manter as coisas interessantes, usamos o despejo total e ajustamos a mem\u00f3ria para ser aproximadamente 10% do tamanho final do conjunto de dados. \u00a0\u00a0<\/p>\n

<\/p>\n

O sistema Pure funcionou perfeitamente. Atingimos os limites de processamento da CPU muito antes de o sistema de armazenamento ficar sem espa\u00e7o livre:<\/p>\n

<\/p>\n

\nAinda mais impressionante do que o desempenho da carga de trabalho em si, \u00e9 o espa\u00e7o ocupado pelo armazenamento. Esse \u00e9 um dos aspectos mais dif\u00edceis do armazenamento em um sistema distribu\u00eddo. A tecnologia de desduplica\u00e7\u00e3o da Pure \u00e9 excepcional.<\/p>\n

<\/p>\n

Usando uma granularidade de 512 bytes, uma precis\u00e3o quatro vezes mais fina do que a dos sistemas concorrentes, a Pure \u00e9 capaz de desduplicar com efici\u00eancia uma carga de trabalho realmente desafiadora. Em nosso ambiente de teste que gera usu\u00e1rios com faker, os dados s\u00e3o aleat\u00f3rios e distribu\u00eddos uniformemente. Em uma carga de trabalho do mundo real, espera-se que a desduplica\u00e7\u00e3o seja ainda melhor. Com o conjunto de dados de usu\u00e1rios aleat\u00f3rios, observamos uma desduplica\u00e7\u00e3o consistente de 1,6 para 1, com 1 r\u00e9plica do Couchbase ativada. Esperamos fazer mais benchmarking com a tecnologia da Pure no futuro e estamos animados com o desempenho do Couchbase usando seu sistema. \u00a0\u00a0<\/p>","protected":false},"excerpt":{"rendered":"

There is a lot of buzz around enterprise class storage, lately. Pure Storage, a recognized leader in the space, recently gave us the opportunity to deploy Couchbase in one of their lab environments. \u00a0The 8 node cluster was easily able […]<\/p>","protected":false},"author":20,"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":[9019],"class_list":["post-1851","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"\nPure Storage, Couchbase, and Node.js User Profile Store - The Couchbase Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/pt\/pure-storage-and-couchbase\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pure Storage, Couchbase, and Node.js User Profile Store\" \/>\n<meta property=\"og:description\" content=\"There is a lot of buzz around enterprise class storage, lately. 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