{"id":5848,"date":"2018-10-06T13:32:50","date_gmt":"2018-10-06T20:32:50","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=5848"},"modified":"2025-06-13T20:19:56","modified_gmt":"2025-06-14T03:19:56","slug":"ycsb-json-implementation-for-couchbase-and-mongodb","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/ycsb-json-implementation-for-couchbase-and-mongodb\/","title":{"rendered":"YCSB-JSON: implementa\u00e7\u00e3o para Couchbase e MongoDB"},"content":{"rendered":"

O YCSB \u00e9 uma excelente ferramenta de benchmarking criada para ser facilmente ampliada por qualquer driver que ofere\u00e7a suporte e implemente opera\u00e7\u00f5es b\u00e1sicas como: inser\u00e7\u00e3o, leitura, atualiza\u00e7\u00e3o, exclus\u00e3o e varredura.\u00a0<\/span>Os dados sint\u00e9ticos simples introduzidos pelo YCSB se encaixam perfeitamente nesse paradigma. <\/span><\/p>\n

Mas quando se trata de trabalhar com bancos de dados JSON, como o Couchbase e o MongoDB, o YCSB \u00e9 \u00fatil porque as consultas se tornaram muito mais sofisticadas: consulta de matrizes e objetos aninhados, execu\u00e7\u00e3o de jun\u00e7\u00f5es e agrega\u00e7\u00f5es.<\/span><\/p>\n

A extens\u00e3o YCSB-JSON, por um lado, deve ser capaz de utilizar todas as opera\u00e7\u00f5es JSON poss\u00edveis suportadas por um banco de dados.
\n<\/span>Por outro lado, a implementa\u00e7\u00e3o dessa abordagem deve ser gen\u00e9rica o suficiente para ser facilmente estendida do YCSB e do MongoDB, Couchbase ou\u00a0qualquer<\/em> outro driver de banco de dados, independentemente do n\u00edvel de consulta JSON que ele suporta.<\/span><\/p>\n

A conex\u00e3o YCSB-JSON foi projetada para emular melhor os cen\u00e1rios realistas do usu\u00e1rio final. Ela foi projetada para trabalhar com quaisquer dados JSON, sejam conjuntos de dados reais, pseudo-realistas ou totalmente sint\u00e9ticos. E um dos requisitos para a ferramenta \u00e9 que n\u00e3o haja nenhum valor codificado em predicados de consulta. Os usu\u00e1rios s\u00f3 podem controlar a cardinalidade dos dados durante o processo de gera\u00e7\u00e3o do conjunto de dados.\u00a0<\/span><\/p>\n

\"\"<\/p>\n

\u00a0Figura 1. Vis\u00e3o geral da implementa\u00e7\u00e3o do YCSB-JSON<\/p>\n

Modelo de dados<\/b><\/h4>\n

O modelo de dados que escolhemos para esse benchmark est\u00e1 bem descrito neste artigo: <\/span>https:\/\/dzone.com\/articles\/ycsb-json-benchmarking-json-databases-by-extending<\/span><\/a>
\nO conjunto de dados \u00e9 gerado usando uma ferramenta fakeit e carregado em um banco de dados (Couchbase, MongoDB) por scripts externos. <\/span>Enquanto o modelo \u00e9 definido e os valores fixos s\u00e3o gerados aleatoriamente, esses dados s\u00e3o gerados aleatoriamente, mas n\u00e3o s\u00e3o sint\u00e9ticos.<\/span><\/p>\n

 <\/p>\n

Gerenciamento de dados <\/b><\/h4>\n

Para cada opera\u00e7\u00e3o na carga de trabalho, as consultas s\u00e3o fixas, mas os valores de limite para cada predicado parametrizado n\u00e3o s\u00e3o determin\u00edsticos. Portanto, foi escolhido o seguinte fluxo de gerenciamento de dados:
\n<\/span><\/p>\n

    \n
  1. Gerar documentos por fakeit.\u00a0<\/span><\/li>\n
  2. Carregue os dados gerados em um banco de dados por meio de qualquer script externo.<\/span><\/li>\n
  3. Executar a fase de carregamento. Durante essa fase, o YCSB ler\u00e1 um subconjunto aleat\u00f3rio dos documentos gerados e armazenar\u00e1 todos os seus valores em seu cache interno.<\/span><\/li>\n
  4. Durante a fase de execu\u00e7\u00e3o, o YCSB usar\u00e1 os valores de seu cache ao vincular e executar consultas no banco de dados.<\/span><\/li>\n<\/ol>\n

     <\/p>\n

    Gerador de Predicados<\/b><\/h4>\n

    O YCSB usa geradores ao operar com dados. O conector apresenta seu pr\u00f3prio gerador mapeado para um modelo de dados espec\u00edfico. O mapeamento e o modelo existem somente no espa\u00e7o de nomes do gerador. A sa\u00edda do gerador \u00e9 um conjunto de predicados gen\u00e9ricos (pares campo-valor) para consultas espec\u00edficas. Isso permite que os usu\u00e1rios modifiquem os modelos e ampliem a ferramenta com outras consultas sem modificar o restante do c\u00f3digo principal.<\/span><\/p>\n

    Gerador de predicados: Gerador.java\u00a0<\/a><\/span><\/h5>\n

     <\/p>\n

    Exemplo #1:\u00a0 Consulta de pagina\u00e7\u00e3o<\/strong><\/span><\/p>\n

    Uma das opera\u00e7\u00f5es YCSB-JSON, a consulta de pagina\u00e7\u00e3o, pode ser representada pela seguinte instru\u00e7\u00e3o:
    \n<\/span><\/p>\n

    SELECT * FROM WHERE address.zip = OFFSET LIMIT<\/span><\/em><\/p>\n

    O predicado da consulta \u00e9 um campo dentro de um objeto. Ao usar o Couchbase N1QL, o campo pode ser acessado simplesmente como \"address.zip\". Mas outros bancos de dados podem n\u00e3o ser t\u00e3o flex\u00edveis, de modo que o gerador YCSB-JSON cria dois predicados: o predicado pai (endere\u00e7o) e o predicado filho\/aninhado (zip).<\/span><\/p>\n

    E o predicado filho tem um valor escolhido aleatoriamente na lista de valores de amostra para esse campo espec\u00edfico.\u00a0<\/span><\/p>\n

    A fun\u00e7\u00e3o abaixo gera o Objeto SoeQueryPredicate<\/a>
    \n<\/span>Onde nome<\/code> \u00e9 \"<\/span>endere\u00e7o<\/span>\"
    \n<\/span>E predicado aninhado<\/code> \u00e9 outro objeto SoeQueryPredicate com o nome \"<\/span>z\u00edper<\/span>\" e valor <\/span>\u00a0:<\/span><\/p>\n

    \"\"<\/p>\n

     <\/p>\n

    Exemplo #2 \u00a0Consulta de relat\u00f3rio<\/strong><\/span><\/p>\n

    Os predicados para consultas mais complexas s\u00e3o gerados da mesma forma. A \u00fanica diferen\u00e7a \u00e9 que, quando a consulta introduz v\u00e1rios predicados, a sequ\u00eancia de predicados (matriz de predicados) est\u00e1 sendo gerada em vez de um \u00fanico predicado. Aqui est\u00e1 a consulta Relat\u00f3rio:<\/span><\/p>\n

    SELECT o2.month, c2.address.zip, SUM(o2.sale_price) <\/span><\/em>FROM c2
    \nINNER JOIN orders o2 ON KEYS c2.order_list
    \n<\/span>WHERE c2.address.zip = \"value\" AND o2.month = \"value\"
    \n<\/span>GROUP BY o2.month, c2.address.zip ORDER BY SUM(o2.sale_price)<\/span><\/em><\/p>\n

    A fun\u00e7\u00e3o abaixo gera a sequ\u00eancia de:
    \n<\/span>predicado \"Month\" (m\u00eas), predicado \"address\" (endere\u00e7o) com predicado \"zip\" (CEP) aninhado, predicado \"sale_price\" (pre\u00e7o de venda) etc:<\/span><\/p>\n

    \"\"<\/p>\n

    Outros geradores de consultas podem ser encontrados aqui:
    \n<\/span>    https:\/\/github.com\/couchbaselabs\/YCSB\/blob\/soe\/core\/src\/main\/java\/com\/yahoo\/ycsb\/generator\/soe\/Generator.java<\/span><\/a><\/p>\n

     <\/p>\n

    Novas opera\u00e7\u00f5es<\/b><\/h4>\n

    O c\u00f3digo precisa ser atualizado com novas opera\u00e7\u00f5es. <\/span><\/p>\n

    Assinaturas na classe DB:\u00a0<\/span>
    \n    https:\/\/github.com\/couchbaselabs\/YCSB\/blob\/soe\/core\/src\/main\/java\/com\/yahoo\/ycsb\/DB.java#L140<\/span><\/a>:<\/p>\n

    \"\"<\/p>\n

    Implementa\u00e7\u00f5es no DBWrapper:\u00a0<\/span>
    \n    https:\/\/github.com\/couchbaselabs\/YCSB\/blob\/soe\/core\/src\/main\/java\/com\/yahoo\/ycsb\/DBWrapper.java#L346<\/span><\/a>:<\/p>\n

    \"\"<\/p>\n

    Amplia\u00e7\u00e3o do CoreWorkload com novas opera\u00e7\u00f5es: SoeWorkload.java<\/a><\/span><\/p>\n

     <\/p>\n

    Implementa\u00e7\u00e3o de opera\u00e7\u00f5es YCSB-JSON para<\/b>\u00a0Couchbase e MongoDB<\/strong><\/h4>\n

    A fun\u00e7\u00e3o de driver de banco de dados de uma opera\u00e7\u00e3o YCSB-JSON recebe um par\u00e2metro adicional que \u00e9 um objeto gerador. Ele est\u00e1 sendo passado pela classe Workload e tem uma sequ\u00eancia de predicados espec\u00edfica pr\u00e9-constru\u00edda.<\/span><\/p>\n

    Como a estrutura e as sequ\u00eancias de predicados s\u00e3o bem definidas pelo gerador, um driver de BD pode acessar nomes e valores diretamente e construir a consulta usando sua linguagem de consulta nativa ou outros m\u00e9todos de acesso. Abaixo est\u00e3o exemplos de implementa\u00e7\u00e3o de consultas de p\u00e1gina e relat\u00f3rio.<\/span><\/p>\n

    Consulta de p\u00e1gina,<\/strong>\u00a0gerando instru\u00e7\u00f5es de consulta para o Couchbase:<\/span><\/p>\n

    \"\"<\/p>\n

    para o MongoDB:<\/span><\/p>\n

    \"\"<\/p>\n

    \f<\/span><\/p>\n

    Consulta de relat\u00f3rio<\/strong>, Couchbase:<\/span><\/p>\n

    \"\"<\/p>\n

    MongoDB:<\/span><\/p>\n

    \"\"<\/p>\n

    Todas as implementa\u00e7\u00f5es do Couchbase:\u00a0Couchbase2Client.java<\/a><\/span><\/p>\n

    Todas as implementa\u00e7\u00f5es do MongoDB:\u00a0MongoDbClient.java<\/a><\/span><\/p>\n

    <\/h4>\n

    Refer\u00eancias<\/strong><\/h4>\n

    Parte 1 do artigo:
    \n    \u00a0https:\/\/www.couchbase.com\/blog\/ycsb-json-benchmarking-json-databases-by-extending-ycsb\/<\/a><\/p>\n

    Implementa\u00e7\u00e3o do YCSB-JSON:
    \n    https:\/\/github.com\/couchbaselabs\/YCSB\/tree\/soe<\/a><\/p>\n

    FakeIt:
    \n    \u00a0https:\/\/github.com\/bentonam\/fakeit<\/a><\/p>\n

    <\/h4>\n

    Pr\u00f3ximas etapas<\/b><\/h4>\n

    Implementar um gerador do tipo fakeit para simplificar a gera\u00e7\u00e3o de dados e predicados de consulta.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

    YCSB is a great benchmarking tool built to be easily extended by any driver which supports and implements basic operations like: insert, read, update, delete and scan.\u00a0Plain synthetic data introduced by YCSB fits this paradigm perfectly. But when it comes […]<\/p>","protected":false},"author":23019,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1814,1821,1816,1819,9417,1812,2201],"tags":[2279,1572,1261,1309,1725,2278],"ppma_author":[9074],"class_list":["post-5848","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-application-design","category-couchbase-architecture","category-couchbase-server","category-data-modeling","category-performance","category-n1ql-query","category-tools-sdks","tag-benchmark","tag-database","tag-json","tag-mongodb","tag-nosql-database","tag-ycsb"],"acf":[],"yoast_head":"\nYCSB-JSON: Implementation for Couchbase and MongoDB<\/title>\n<meta name=\"description\" content=\"For JSON databases such as Couchbase and MongoDB, YCSB is helpful for executing more sophisticated queries. 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