{"id":11192,"date":"2018-05-04T19:22:46","date_gmt":"2018-05-04T17:22:46","guid":{"rendered":"https:\/\/www.dbi-services.com\/blog\/adwc-the-hidden-gem-zepplin-notebook\/"},"modified":"2018-05-04T19:22:46","modified_gmt":"2018-05-04T17:22:46","slug":"adwc-the-hidden-gem-zepplin-notebook","status":"publish","type":"post","link":"https:\/\/www.dbi-services.com\/blog\/adwc-the-hidden-gem-zepplin-notebook\/","title":{"rendered":"ADWC &#8211; the hidden gem: Zepplin Notebook"},"content":{"rendered":"<h2>By Franck Pachot<\/h2>\n<p>.<br \/>\n<a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/IMG_5339.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/IMG_5339.jpg\" alt=\"IMG_5339\" width=\"300\" height=\"266\" class=\"alignright size-medium wp-image-23023\" \/><\/a><br \/>\nIn the <a href=\"https:\/\/www.dbi-services.com\/blog\/?s=ADWC\" target=\"_blank\" rel=\"noopener noreferrer\">previous blog posts<\/a> I explained how to create, and stop\/start the Autonomous Data Warehouse Cloud service. And I didn&#8217;t show yet how to connect to it. It is easy, from sqlplus or SQL Developer, or SQLcl. <\/p>\n<p>But there&#8217;s something more exciting to run some SQL queries: the Oracle Machine Learning Notebooks based on Apache Zepplin. At first, I didn&#8217;t realize why the administration menu entry to create users in the ADWC service was named &#8216;Manage Oracle ML Users&#8217;, and didn&#8217;t realize that the &#8216;Autonomous Data Warehouse Cloud&#8217; header was replaced by &#8216;Machine Learning&#8217;.<\/p>\n<p>But last week at IOUG Collaborate 18, I visited the Demo Grounds and thanks to Charlie Berger I realized all the power of this: we are in the &#8216;Machine Learning&#8217; interface here and the home button opens all the features available to query the ADWC database, including the SQL Notebooks based on Apache Zepplin.<br \/>\n<!--more--><br \/>\nHere is the path to this hidden Gem. From your ADWC service, you go to the Service Console:<br \/>\n<a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin001.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin001.png\" alt=\"CaptureZepplin001\" width=\"1085\" height=\"212\" class=\"aligncenter size-full wp-image-23020\" \/><\/a><\/p>\n<p>Here you log as the ADMIN user with the &gt;12 characters password that you have defined at service creation. Don&#8217;t worry if you forgot it, you can reset it from here:<br \/>\n<a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin002.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin002.png\" alt=\"CaptureZepplin002\" width=\"1024\" height=\"245\" class=\"aligncenter size-large wp-image-23029\" \/><\/a><\/p>\n<p>Once connected, you go to the Administration tab and choose the &#8216;Manage Oracle ML Users&#8217;:<\/p>\n<p><a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin003.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin003.png\" alt=\"CaptureZepplin003\" width=\"1024\" height=\"290\" class=\"aligncenter size-large wp-image-23031\" \/><\/a><\/p>\n<p>Here you have to create a user because the ADMIN user not a Machine Learning user. Machine Learning users need one of the following roles: OML_DEVELOPER, OML_APP_ADMIN, OML_SYS_ADMIN. The user you will create here will have OML_DEVELOPER which is required to use SQL Notebooks.<\/p>\n<p>Now that you have a user created from here, you can click on this little house icon, which is your home in the Machine Learning part of the ADWC:<\/p>\n<p><a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin004.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin004.png\" alt=\"CaptureZepplin004\" width=\"776\" height=\"422\" class=\"aligncenter size-full wp-image-23034\" \/><\/a><\/p>\n<p>Here you connect with the user you have created from the Oracle ML User page (not the ADMIN one as it has no OML role granted).<\/p>\n<p><a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin005.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin005.png\" alt=\"CaptureZepplin005\" width=\"734\" height=\"491\" class=\"aligncenter size-full wp-image-23037\" \/><\/a><\/p>\n<p>Then you are in your OML home, ready to run SQL from a Notebook:<\/p>\n<p><a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin006.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin006.png\" alt=\"CaptureZepplin006\" width=\"1024\" height=\"217\" class=\"aligncenter size-large wp-image-23039\" \/><\/a><\/p>\n<p>I&#8217;ll show what you can do in future post. But just to give you an idea, you have a Notebook where you can type a query, execute it, and have the result displayed as a table, or as a graph. Here I was looking at I\/O latency and the following shows me that the &#8216;cell single block physical read&#8217;, which are nothing else than the buffered one-block-at-a-time reads that are called &#8216;db file sequential read&#8217; when not on Exadata, in dark green here, have most of their I\/O call time between 128 and 512 microseconds.<\/p>\n<p><a href=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin007.png\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2022\/04\/CaptureZepplin007.png\" alt=\"CaptureZepplin007\" width=\"1024\" height=\"409\" class=\"aligncenter size-large wp-image-23043\" \/><\/a><\/p>\n<p>I like this way to have the result just under the query, with easy formatting. The code, documented, is at the same place as the result, in a notebook that is easy to refresh, or share. And you can export the whole in a simple JSON file.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>By Franck Pachot . In the previous blog posts I explained how to create, and stop\/start the Autonomous Data Warehouse Cloud service. And I didn&#8217;t show yet how to connect to it. It is easy, from sqlplus or SQL Developer, or SQLcl. But there&#8217;s something more exciting to run some SQL queries: the Oracle Machine [&hellip;]<\/p>\n","protected":false},"author":27,"featured_media":11194,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[59],"tags":[1347,1191,135,1350,96,1184,1351],"type_dbi":[],"class_list":["post-11192","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-oracle","tag-adwc","tag-autonomous","tag-cloud","tag-oml","tag-oracle","tag-oracle-18c","tag-zepplin"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>ADWC - the hidden gem: Zepplin Notebook - dbi 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.dbi-services.com\/blog\/adwc-the-hidden-gem-zepplin-notebook\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ADWC - the hidden gem: Zepplin Notebook\" \/>\n<meta property=\"og:description\" content=\"By Franck Pachot . In the previous blog posts I explained how to create, and stop\/start the Autonomous Data Warehouse Cloud service. And I didn&#8217;t show yet how to connect to it. It is easy, from sqlplus or SQL Developer, or SQLcl. 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