{"id":7708,"date":"2019-10-02T17:08:27","date_gmt":"2019-10-03T00:08:27","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=7708"},"modified":"2025-06-13T20:19:32","modified_gmt":"2025-06-14T03:19:32","slug":"testing-n1ql-workloads-with-apache-jmeter","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/testing-n1ql-workloads-with-apache-jmeter\/","title":{"rendered":"Teste de cargas de trabalho N1QL com o Apache JMeter"},"content":{"rendered":"

Um dos principais recursos que o Couchbase oferece para consultar dados JSON \u00e9 uma linguagem N1QL. A N1QL permite que os usu\u00e1rios acessem e modifiquem o conte\u00fado de seus documentos JSON com instru\u00e7\u00f5es SQL familiares. Muitas vezes, durante a fase de desenvolvimento de um novo aplicativo, \u00e9 necess\u00e1rio simular determinadas cargas de trabalho de produ\u00e7\u00e3o para determinar se o novo aplicativo atenderia aos SLAs exigidos em termos de tempo de resposta e simultaneidade em um cen\u00e1rio de teste de estresse. Normalmente, a estrutura dos documentos JSON no bucket j\u00e1 est\u00e1 definida e as consultas N1QL de produ\u00e7\u00e3o existentes s\u00e3o conhecidas antecipadamente. Como parte do benchmarking de um novo aplicativo, temos que definir as cargas de trabalho N1QL existentes e rec\u00e9m-adicionadas e, opcionalmente, parametriz\u00e1-las, depois executar essas cargas de trabalho com diferentes n\u00edveis de simultaneidade e medir o desempenho da consulta.<\/p>\n

Neste artigo do blog, gostaria de falar sobre a ferramenta Apache JMeter, que pode ajudar nessa empreitada. Voc\u00ea tamb\u00e9m pode assistir ao v\u00eddeo dessa demonstra\u00e7\u00e3o aqui<\/a>.<\/p>\n

Apache JMeter<\/strong><\/h3>\n

O Apache JMeter \u00e9 um aplicativo gratuito de c\u00f3digo aberto baseado em Java, usado para projetar e executar testes de desempenho abrangentes de aplicativos da Web, bancos de dados, servi\u00e7os da Web SOAP e REST, FTP, LDAP e servidores de e-mail, protocolos TCP e SMTP. O JMeter pode emular uma carga de trabalho pesada no servidor e ajudar a analisar o desempenho em diferentes cen\u00e1rios de teste. O JMeter vem com uma GUI que \u00e9 usada para projetar e executar testes enquanto mede uma variedade de m\u00e9tricas de desempenho, como tempo de resposta m\u00e9dio, m\u00ednimo e m\u00e1ximo, desvio padr\u00e3o, taxa de transfer\u00eancia etc. A adi\u00e7\u00e3o de elementos do plano de teste (grupos de threads, listeners, samplers etc.) ao plano de teste pode ser feita facilmente clicando com o bot\u00e3o direito do mouse em um elemento na \u00e1rvore e escolhendo um novo elemento na lista \"adicionar<\/strong>\". Um dos meus recursos favoritos fornecidos pelo JMeter \u00e9 a capacidade de alterar facilmente o n\u00famero de threads simult\u00e2neos que executam uma carga de trabalho espec\u00edfica. Depois que um cen\u00e1rio de teste tiver sido projetado no JMeter, ele poder\u00e1 ser salvo no arquivo com a tag .jmx<\/strong> extens\u00e3o. Para fazer testes de carga e obter os melhores resultados, \u00e9 recomend\u00e1vel executar um cen\u00e1rio de teste j\u00e1 criado em um modo CLI sem GUI, fornecendo .jmx<\/strong> para o execut\u00e1vel do JMeter.<\/p>\n

Voc\u00ea pode saber muito mais sobre os recursos do JMeter baixando-o em https:\/\/jmeter.apache.org\/<\/a> e leitura de tutoriais\/documenta\u00e7\u00e3o.<\/p>\n

Configura\u00e7\u00e3o de um cen\u00e1rio de teste\u00a0<\/strong><\/h3>\n

Para minha demonstra\u00e7\u00e3o, tenho o JMeter e o servidor Couchbase em execu\u00e7\u00e3o no meu Mac. Defini duas cargas de trabalho simples com instru\u00e7\u00f5es N1QL para o bucket \"travel-sample\". A primeira carga de trabalho, intitulada \"Workload 1 - Read\" (Carga de trabalho 1 - Leitura), executa 5 threads simult\u00e2neas em que cada thread seleciona aleatoriamente consultas N1QL de um conjunto de 10 consultas, conforme mostrado abaixo. Para o meu cen\u00e1rio de teste, planejo manter a taxa de destino de \"Workload 1 - Read\" durante 120 segundos.<\/p>\n

\"\"<\/p>\n

Antes de executar o teste, uma conex\u00e3o com o servidor Couchbase deve ser autenticada por meio do \"HTTP Authorization Manager\".<\/p>\n

\"\"<\/p>\n

Para ilustrar a aplica\u00e7\u00e3o de par\u00e2metros \u00e0 cl\u00e1usula WHERE, parametrizei a consulta \"Select 3\" com intervalos de IDs de pa\u00eds, baixo e alto. Esses par\u00e2metros seriam extra\u00eddos do arquivo countries.dat. Voc\u00ea pode parametrizar as consultas N1QL por meio do elemento de teste \"CSV Data Set Config\", conforme mostrado abaixo.<\/p>\n

\"\"<\/p>\n

Cada instru\u00e7\u00e3o N1QL \u00e9 enviada ao Couchbase a partir do sampler \"HTTP Request\" por meio de um m\u00e9todo POST.<\/p>\n

\"\"<\/p>\n

A segunda carga de trabalho \"Carga de trabalho 2 - CRUD\" tem uma inser\u00e7\u00e3o simples, 3 sele\u00e7\u00f5es, opera\u00e7\u00f5es de atualiza\u00e7\u00e3o e exclus\u00e3o. O objetivo do teste \u00e9 medir as caracter\u00edsticas de desempenho da segunda carga de trabalho \"Carga de trabalho 2 - CRUD\" ao execut\u00e1-la em nome de 1 thread fazendo 10 itera\u00e7\u00f5es aut\u00f4nomas (ou seja, sozinho no universo) e depois com a \"Carga de trabalho 1 - Leitura\" executada em paralelo. As consultas definidas para cada carga de trabalho t\u00eam complexidade e perfis de desempenho diferentes, com tempo de resposta variando de menos de um segundo a v\u00e1rios segundos, quando executadas individualmente.<\/p>\n

\"\"<\/p>\n

Execu\u00e7\u00e3o de testes e medi\u00e7\u00e3o do desempenho\u00a0<\/strong><\/h3>\n

Depois que o cen\u00e1rio de teste foi definido, tudo o que tive de fazer foi executar um teste do JMeter pressionando o bot\u00e3o verde Iniciar no menu superior ou fornecendo o arquivo .jmx ao script execut\u00e1vel do jmeter. Para medir e visualizar os resultados de desempenho, adicionei v\u00e1rios ouvintes em \"Workload 2 - CRUD\". O ouvinte \"Summary Report\" fornece estat\u00edsticas resumidas do teste e de cada instru\u00e7\u00e3o N1QL individual. \"View Results Tree\" pode ser usado para fins de depura\u00e7\u00e3o para verificar o status, a solicita\u00e7\u00e3o e os dados de resposta de cada amostra. H\u00e1 muitos outros ouvintes dispon\u00edveis no JMeter. Os resultados de desempenho da \"Carga de trabalho 2 - CRUD\" quando executada de forma aut\u00f4noma s\u00e3o apresentados abaixo com tempos de resposta medidos em milissegundos. Observe que a primeira carga de trabalho \"Workload 1 -Read\" foi desativada durante essa execu\u00e7\u00e3o. Voc\u00ea pode desativar facilmente determinadas partes do seu plano de teste clicando com o bot\u00e3o direito do mouse no elemento de teste e escolhendo a op\u00e7\u00e3o \"Disable\" (Desativar).<\/p>\n

\"\"<\/p>\n

Durante a execu\u00e7\u00e3o seguinte, ambas as cargas de trabalho estavam ativas e notei imediatamente a diferen\u00e7a no tempo de resposta, especialmente em uma consulta \"Select with Join\" mais complexa, com um tempo m\u00e9dio decorrido que saltou de 600 ms para quase 2,6 s. Obviamente, a CPU estava no m\u00e1ximo quando v\u00e1rios threads estavam em execu\u00e7\u00e3o no meu Mac, portanto, esses n\u00fameros s\u00e3o fornecidos apenas para fins ilustrativos.<\/p>\n

\"\"<\/p>\n

Os resultados do teste tamb\u00e9m podem ser visualizados com o listener \"Response Time Graph\", conforme mostrado abaixo. O tempo decorrido da consulta \"Select with Join\", representado pela linha amarela, diminuiu ap\u00f3s a conclus\u00e3o da primeira carga de trabalho.<\/p>\n

\"\"<\/p>\n

Em conclus\u00e3o<\/strong><\/h3>\n

O JMeter n\u00e3o \u00e9 a \u00fanica ferramenta dispon\u00edvel para executar testes de estresse e avaliar o desempenho. O Couchbase fornece algumas outras ferramentas cbc-pillowfight<\/a> e cbc-n1qlback<\/a> para testar o desempenho de opera\u00e7\u00f5es de chave\/valor e instru\u00e7\u00f5es N1QL. YCSB<\/a> \u00e9 outra ferramenta de benchmarking que pode ser usada para testar v\u00e1rios bancos de dados NoSQL. Voc\u00ea pode encontrar v\u00e1rios artigos sobre YCSB e YCSB-JSON<\/a> na p\u00e1gina de blogs do Couchbase.<\/p>\n

 <\/p>","protected":false},"excerpt":{"rendered":"

One of the key features that Couchbase provides for querying JSON data is a N1QL language. N1QL allows users to access and modify the contents of their JSON documents with familiar SQL statements. 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