{"id":6043,"date":"2018-11-27T16:36:51","date_gmt":"2018-11-28T00:36:51","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/?p=6043"},"modified":"2025-06-13T18:45:03","modified_gmt":"2025-06-14T01:45:03","slug":"connecting-to-couchbase-via-odbc","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/connecting-to-couchbase-via-odbc\/","title":{"rendered":"Conex\u00e3o com o Couchbase via ODBC"},"content":{"rendered":"

An\u00e1lise do Couchbase<\/span><\/h2>\n

A Couchbase Data Platform agora oferece suporte a cargas de trabalho de processamento anal\u00edtico\/transa\u00e7\u00e3o h\u00edbrida (HTAP). Al\u00e9m disso, nosso mecanismo de consulta de processamento massivamente paralelo (MPP) permite que os usu\u00e1rios executem consultas anal\u00edticas ad-hoc que fornecem insights mais r\u00e1pidos sem afetar o desempenho.<\/span><\/p>\n

O Couchbase Analytics reduz o tempo para obter insights sobre os dados operacionais, fornecendo esses recursos principais:<\/span><\/p>\n

Ingest\u00e3o r\u00e1pida:<\/b> Disponibilizar dados para processamento anal\u00edtico em milissegundos<\/span><\/p>\n

NoETL para NoSQL:<\/b> Processe dados JSON em sua forma natural, sem nenhuma transforma\u00e7\u00e3o ou design de esquema<\/span><\/p>\n

Isolamento da carga de trabalho:<\/b> Execute consultas ad hoc sem afetar o desempenho do aplicativo<\/span><\/p>\n

Consultas ad hoc:<\/b> Os usu\u00e1rios corporativos podem explorar dados e realizar jun\u00e7\u00f5es e agrega\u00e7\u00f5es complexas<\/span><\/p>\n

N1QL para an\u00e1lises:<\/b> \u00c9 a primeira implementa\u00e7\u00e3o comercial da linguagem SQL++ para consulta de dados JSON semiestruturados sem esquema<\/span><\/p>\n

Muitas das ferramentas de visualiza\u00e7\u00e3o populares n\u00e3o suportam nativamente a integra\u00e7\u00e3o JSON, mas suportam a conectividade por meio de tecnologias padr\u00e3o como JDBC, ODBC ou ADO.NET. Com os drivers CData, qualquer ferramenta de BI que ofere\u00e7a suporte \u00e0 conectividade baseada em SQL (como Tableau, Power BI, MicroStrategy, Excel e outras) poder\u00e1 visualizar os dados armazenados no Couchbase Analytics.<\/span><\/p>\n

Como exemplo, anexei uma captura de tela de uma visualiza\u00e7\u00e3o no Tableau de dados provenientes do Couchbase Analytics.<\/span><\/p>\n

\"\"<\/p>\n

Drivers CData para Couchbase<\/span><\/h2>\n

Os CData Drivers for Couchbase fornecem uma interface SQL para fontes de dados NoSQL, como o Couchbase Analytics. Por meio de t\u00e9cnicas inovadoras de nivelamento e de um poderoso mecanismo SQL integrado, os drivers CData traduzem perfeitamente as consultas SQL em SQL++, aproveitando os recursos do lado do servidor do Couchbase Analytics para fornecer dados em tempo real para BI e an\u00e1lise. Isso \u00e9 especialmente importante para ferramentas que geram consultas SQL internamente para solicitar dados das fontes de dados conectadas. Por exemplo, com um documento de amostra de \"carros\", voc\u00ea pode esperar que o Tableau gere uma consulta SQL. Essa consulta SQL ser\u00e1 traduzida para SQL++ pelo driver CData.<\/span><\/p>\n

Exemplo de documento de carros<\/span><\/p>\n

{  \r\n   \"cars\":{  \r\n      \"EngineTemp\":214,\r\n      \"TPMS\":\"ON\",\r\n      \"TirePressure\":[  \r\n         33,\r\n         36,\r\n         34,\r\n         34\r\n      ],\r\n      \"Indicators\":{  \r\n         \"WindshieldWiper\":\"OFF\",\r\n         \"Headlamp\":\"ON\",\r\n         \"BrakePedal\":\"OFF\",\r\n         \"Ignition\":\"OFF\"\r\n      },\r\n      \"ABS\":\"OFF\",\r\n      \"Location\":{  \r\n         \"lat\":34.25320048276987,\r\n         \"long\":-117.33252478191595\r\n      },\r\n      \"Fuel\":88,\r\n      \"TransmissionGear\":2,\r\n      \"AcceleratorPedalPosition\":15,\r\n      \"VIN\":\"RU2S4T1TR1TR30UR\",\r\n      \"ModelType\":\"Medium SUV\",\r\n      \"OutsideTemp\":150,\r\n      \"Speed\":25,\r\n      \"EngineOil\":36\r\n   }\r\n}\r\n<\/pre>\n
Exemplo de consulta SQL<\/span><\/h4>\n
SELECT ModelType, COUNT(*) AS Total FROM cars GROUP BY ModelType;<\/pre>\n
A consulta SQL \u00e9 traduzida pelo driver para SQL++.<\/span><\/p>\n
Exemplo de consulta SQL++<\/span><\/h4>\n
SELECT `cars`.`ModelType`, COUNT(*)  AS `total` FROM `cars` GROUP BY `cars`.`ModelType`;<\/pre>\n
Embora as diferen\u00e7as entre as consultas SQL e SQL++ possam parecer pequenas, elas s\u00e3o exageradas quando se trabalha com ferramentas que geram consultas SQL com base em uma interface gr\u00e1fica de usu\u00e1rio (como o Tableau). Como o usu\u00e1rio n\u00e3o tem controle sobre a consulta gerada, essas diferen\u00e7as significam que uma tradu\u00e7\u00e3o de SQL para SQL++ n\u00e3o \u00e9 apenas cr\u00edtica, mas necess\u00e1ria para a execu\u00e7\u00e3o de BI, an\u00e1lises e relat\u00f3rios em ferramentas baseadas em SQL. Como os drivers CData s\u00e3o traduzidos para SQL++ puro, eles podem aproveitar os poderosos recursos de processamento do lado do servidor do servi\u00e7o Analytics.<\/span><\/p>\n
Interface SQL para SQL++<\/span><\/h2>\n
Como os drivers CData criam a interface SQL para dados JSON? Para explicar, vamos nos referir ao documento de exemplo acima.<\/span><\/p>\n
Achatamento de objetos<\/span><\/h3>\n
Os drivers CData achatam os objetos usando uma nota\u00e7\u00e3o de ponto para representar a estrutura hier\u00e1rquica original. Por exemplo, para acessar o objeto <\/span>Limpador de para-brisa <\/span>do objeto Indicator, voc\u00ea faria refer\u00eancia \u00e0 coluna <\/span>cars.Indicator.WindshieldWiper<\/span>. Muitas ferramentas n\u00e3o permitem pontos nos nomes das colunas, portanto, quando necess\u00e1rio, os drivers CData criar\u00e3o defini\u00e7\u00f5es de esquema tempor\u00e1rias na mem\u00f3ria para permitir a conectividade com essas ferramentas. Abaixo, voc\u00ea ver\u00e1 um exemplo de consulta SQL, a consulta SQL++ correspondente e os resultados da consulta.<\/span><\/p>\n
SQL: SELECT Indicators_WindshieldWiper FROM cars;\r\nSQL++: SELECT `cars`.`Indicators`.`WindshieldWiper` FROM `cars`;<\/pre>\n
Achatamento de matriz<\/span><\/h3>\n
Os drivers CData nivelam as matrizes nos documentos JSON usando indexa\u00e7\u00e3o baseada em 0, semelhante ao que voc\u00ea v\u00ea em outras linguagens de programa\u00e7\u00e3o. Por exemplo, para acessar a 1\u00aa e a 2\u00aa entradas na matriz TirePressure, voc\u00ea faria refer\u00eancia \u00e0s colunas<\/span> cars.TirePressure.0<\/span> e <\/span>cars.TirePressure.1<\/span>. Abaixo, voc\u00ea ver\u00e1 um exemplo de consulta SQL, a consulta SQL++ correspondente e os resultados da consulta.<\/span><\/p>\n
SQL: SELECT TirePressure_0, TirePressure_1 FROM cars;\r\nSQL++: SELECT `cars`.`TirePressure`[0], `cars`.`TirePressure`[1] FROM `cars`;<\/pre>\n
\u00c0 medida que o servi\u00e7o Analytics e as interfaces SQL++ crescerem e evolu\u00edrem, o mesmo acontecer\u00e1 com os drivers CData, implementando novos recursos de consulta \u00e0 medida que forem adicionados e continuando a aproveitar os poderosos recursos de processamento de dados do servi\u00e7o Analytics para permitir que os usu\u00e1rios do Couchbase trabalhem, visualizem e gerem relat\u00f3rios sobre seus dados de forma r\u00e1pida e f\u00e1cil.<\/span><\/p>\n
Experimente o Couchbase 6.0 e o CData hoje mesmo<\/span><\/h2>\n
Fa\u00e7a o download da nova vers\u00e3o do Couchbase<\/span><\/a> e <\/span>os drivers CData mais recentes<\/span><\/a> para come\u00e7ar a trabalhar com os dados do Couchbase nas ferramentas e aplicativos habilitados para SQL que voc\u00ea j\u00e1 usa. Aguardamos seus coment\u00e1rios sobre o <\/span>F\u00f3runs do Couchbase<\/span><\/a>.<\/span><\/p>\n
Agradecimentos<\/span><\/h2>\n
Esta postagem do blog \u00e9 uma colabora\u00e7\u00e3o entre o Couchbase e a CData. Um grande agradecimento a <\/span>Jerod Johnson<\/span><\/a>Evangelista de tecnologia da CData Software, por sua contribui\u00e7\u00e3o para esta postagem do blog. \u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"
Couchbase Analytics Couchbase Data Platform now supports hybrid transaction\/analytical processing (HTAP) workloads. Plus, our massively parallel processing (MPP) query engine lets users run ad-hoc analytical queries that deliver faster insights without impacting performance. Couchbase Analytics reduces the time to insight […]<\/p>","protected":false},"author":559,"featured_media":13873,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[2294,1821,1816,1812],"tags":[1829,2250,1725],"ppma_author":[9052],"class_list":["post-6043","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","category-couchbase-architecture","category-couchbase-server","category-n1ql-query","tag-bi","tag-data-visualization","tag-nosql-database"],"acf":[],"yoast_head":"\nConnecting to Couchbase via ODBC - 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\/connecting-to-couchbase-via-odbc\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Connecting to Couchbase via ODBC\" \/>\n<meta property=\"og:description\" content=\"Couchbase Analytics Couchbase Data Platform now supports hybrid transaction\/analytical processing (HTAP) workloads. 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