{"id":1085,"date":"2017-04-18T18:14:32","date_gmt":"2017-04-19T01:14:32","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/announcing-couchbase-analytics-developer-preview-2\/"},"modified":"2017-04-18T18:14:32","modified_gmt":"2017-04-19T01:14:32","slug":"announcing-couchbase-analytics-developer-preview-2","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/announcing-couchbase-analytics-developer-preview-2\/","title":{"rendered":"Announcing Couchbase Analytics Developer Preview 2"},"content":{"rendered":"\n<p><span>I am very pleased to announce Couchbase Analytics Developer Preview 2. Couchbase Analytics allows you to analyze data in its natural form without defining a rigid schema and removes the need for expensive data preparation and transformation. Couchbase Analytics complements your existing investments in Analytics and significantly reduces time to insight. <\/span><\/p>\n\n\n\n<p><b>Major features<\/b><\/p>\n\n\n\n<p><span>The salient features of Couchbase Analytics are:<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Rich query language: <\/b><span>Couchbase Analytics supports SQL++, a next-generation declarative query language which has much in common with SQL. SQL++ also includes extensions for the nested, schema-optional or even schema-less world of modern NoSQL systems. <\/span><\/li>\n\n\n<li><b>Common data model<\/b><span>: Couchbase Analytics natively supports the same rich, flexible-schema document data model used in Couchbase Server, rather than forcing your data into a relational model.<\/span><\/li>\n\n\n<li><b>Workload isolation<\/b><span>: Analytical queries are run on dedicated nodes that can run complex resource intensive queries and don\u2019t impact the query latency and throughput of operational workloads. <\/span><\/li>\n\n\n<li><b>High data freshness<\/b><span>: Couchbase Analytics uses <\/span><a href=\"https:\/\/developer.couchbase.com\/documentation\/server\/4.5\/architecture\/high-availability-replication-architecture.html\"><span>DCP<\/span><\/a><span>, a fast memory-to-memory protocol that Couchbase Server nodes use to synchronize data among themselves. Consequently, analytics run on data that is synchronized in almost real-time without the overhead of data ingestion and transformation.<\/span><\/li>\n\n<\/ul>\n\n\n\n<p><span>Developer Preview 2 focuses on ease of use and enhances query support to include<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><b>Configurable parallelism<\/b><span>: <\/span><span>The system can execute each request using multiple cores on multiple machines. A user can manually specify the maximum execution parallelism for a request to scale it up or down.<\/span><\/li>\n\n\n<li><b>Query cancellation<\/b><span>: We heard you! Couchbase Analytics supports cancellation <\/span><span>of an ongoing query. We also added a \u201ccancel\u201d button on the Analytics workbench.<\/span><\/li>\n\n\n<li><b>Simplified cluster installation<\/b><span>: You have the option to deploy the Couchbase Analytics cluster in your data center or on EC2. More details available <\/span><a href=\"https:\/\/docs.couchbase.com\/server\/current\/analytics\/introduction.html\"><span>here<\/span><\/a><span>.<\/span><\/li>\n\n<\/ul>\n\n\n\n<p><b>SDK Support<\/b><\/p>\n\n\n\n<p><span>The SDKs for <\/span><a href=\"https:\/\/developer.couchbase.com\/documentation\/server\/current\/sdk\/java\/start-using-sdk.html\"><span>Java<\/span><\/a><span>, <\/span><a href=\"https:\/\/developer.couchbase.com\/documentation\/server\/current\/sdk\/dotnet\/start-using-sdk.html\"><span>.NET<\/span><\/a><span>, <\/span><a href=\"https:\/\/developer.couchbase.com\/documentation\/server\/current\/sdk\/nodejs\/start-using-sdk.html\"><span>node.js<\/span><\/a><span>, <\/span><a href=\"https:\/\/developer.couchbase.com\/documentation\/server\/current\/sdk\/php\/start-using-sdk.html\"><span>php<\/span><\/a><span> and <\/span><a href=\"https:\/\/developer.couchbase.com\/documentation\/server\/current\/sdk\/python\/start-using-sdk.html\"><span>python<\/span><\/a><span> now support Couchbase Analytics. Here is an example of how you would use Couchbase Analytics queries using the Java SDK.<\/span><\/p>\n\n\n\n<p><b>Java SDK (2.4.3 or later)<\/b><\/p>\n\n\n\n<p><span>By default, Analytics support is off and \u201canalyticsEnabled\u201d system property should be set to enable it.<\/span><\/p>\n\n\n<p>[crayon lang=&#8221;java&#8221; decode=&#8221;true&#8221;]System.setProperty(&#8220;com.couchbase.analyticsEnabled&#8221;, &#8220;true&#8221;);<\/p>\n<p>AnalyticsQueryResult result = bucket.query(AnalyticsQuery.simple(&#8220;SELECT bw.name AS brewer,(SELECT br.name, br.abv FROM beers br WHERE br.brewery_id = meta(bw).id) AS beers &#8221; +<\/p>\n<p>\u00a0\u00a0\u00a0 &#8220;FROM breweries bw &#8221; +<\/p>\n<p>\u00a0\u00a0\u00a0 &#8220;ORDER BY bw.name &#8221; +<\/p>\n<p>\u00a0\u00a0\u00a0 &#8220;LIMIT 5;&#8221;));<\/p>\n<p>for (AnalyticsQueryRow row:result) {<\/p>\n<p>System.out.println(row.toString());<\/p>\n<p>}[\/crayon]<\/p>\n\n\n\n<p><span>Go ahead and give it a try by downloading the <\/span><a href=\"https:\/\/packages.couchbase.com\/releases\/analytics\/1.0.0-DP2\/couchbase-analytics-1.0.0-DP2-generic.zip\"><span>binary<\/span><\/a><span> and starting with the <\/span><a href=\"https:\/\/docs.couchbase.com\/server\/current\/analytics\/introduction.html\"><span>tutorial<\/span><\/a><span>.<\/span><\/p>\n\n\n\n<p><span>We invite you to join us at <\/span><a href=\"https:\/\/www.couchbase.com\/connect\/\"><span>Couchbase Connect NYC<\/span><\/a><span> for more on Couchbase Analytics. <\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I am very pleased to announce Couchbase Analytics Developer Preview 2. Couchbase Analytics allows you to analyze data in its natural form without defining a rigid schema and removes the need for expensive data preparation and transformation. Couchbase Analytics complements your existing investments in Analytics and significantly reduces time to insight. Major features The salient [&hellip;]<\/p>\n","protected":false},"author":559,"featured_media":18,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[75,179,54,18],"tags":[257,6],"ppma_author":[230],"class_list":["post-1085","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-nosql-database"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.6 (Yoast SEO v27.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Announcing Couchbase Analytics Developer Preview 2<\/title>\n<meta name=\"description\" content=\"The post focuses on Couchbase Analytics Developer Preview. Couchbase Analytics allows analyzing data in its natural form without defining a rigid schema.\" \/>\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\/announcing-couchbase-analytics-developer-preview-2\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Announcing Couchbase Analytics Developer Preview 2\" \/>\n<meta property=\"og:description\" content=\"The post focuses on Couchbase Analytics Developer Preview. Couchbase Analytics allows analyzing data in its natural form without defining a rigid schema.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/pt\/announcing-couchbase-analytics-developer-preview-2\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2017-04-19T01:14:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/5\/2026\/05\/couchbase-nosql-dbaas.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1800\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Sachin Smotra, Director Product Management, Couchbase\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@smotras\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Sachin Smotra, Director Product Management, Couchbase\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/announcing-couchbase-analytics-developer-preview-2\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/announcing-couchbase-analytics-developer-preview-2\\\/\"},\"author\":{\"name\":\"Sachin Smotra, Director Product Management, Couchbase\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#\\\/schema\\\/person\\\/b0afdfaea6775eaf75096b65e7791f9a\"},\"headline\":\"Announcing Couchbase Analytics Developer Preview 2\",\"datePublished\":\"2017-04-19T01:14:32+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/announcing-couchbase-analytics-developer-preview-2\\\/\"},\"wordCount\":426,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/announcing-couchbase-analytics-developer-preview-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/05\\\/couchbase-nosql-dbaas.png\",\"keywords\":[\"BI\",\"NoSQL Database\"],\"articleSection\":[\"Couchbase Analytics\",\"Couchbase Architecture\",\"Couchbase Server\",\"SQL++ \\\/ N1QL Query\"],\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/announcing-couchbase-analytics-developer-preview-2\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/announcing-couchbase-analytics-developer-preview-2\\\/\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/announcing-couchbase-analytics-developer-preview-2\\\/\",\"name\":\"Announcing Couchbase Analytics Developer Preview 2\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/announcing-couchbase-analytics-developer-preview-2\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/announcing-couchbase-analytics-developer-preview-2\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/05\\\/couchbase-nosql-dbaas.png\",\"datePublished\":\"2017-04-19T01:14:32+00:00\",\"description\":\"The post focuses on Couchbase Analytics Developer Preview. 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