{"id":504,"date":"2016-09-29T11:14:22","date_gmt":"2016-09-29T11:14:22","guid":{"rendered":"http:\/\/ds.eindeutigunsinnig.de\/?p=504"},"modified":"2018-01-21T11:32:43","modified_gmt":"2018-01-21T11:32:43","slug":"apache-zeppelin-use-remote-spark-cluster-yarn","status":"publish","type":"post","link":"https:\/\/datascientists.info\/index.php\/2016\/09\/29\/apache-zeppelin-use-remote-spark-cluster-yarn\/","title":{"rendered":"Apache Zeppelin: Use with remote Spark cluster and Yarn"},"content":{"rendered":"<p><a href=\"http:\/\/datascientists.info\/big-data-and-data-warehouse-architecture\/\" target=\"_blank\">Apache Zeppelin<\/a> is pretty usefull for interactive programming using the web browser. It even comes with its own installation of <a href=\"http:\/\/spark.apache.org\/\" target=\"_blank\">Apache Spark<\/a>. For further information you can check my <a href=\"http:\/\/datascientists.info\/apache-zeppelin-visualization-and-spark-data-processing\/\" target=\"_blank\">earlier post<\/a>.<br \/>\nBut the real power in using <b>Spark<\/b> with Zeppelin lies in its easy way to connect it to your existing Spark cluster using YARN. The following steps are necessary:<\/p>\n<ul>\n<li>Copy your Hadoop configuration files to your Zeppelin installation under $ZEPPELIN_HOME\/conf<\/li>\n<li>Restart your Zeppelin Notebook<\/li>\n<li>Insert the value <b>&#8220;yarn-client&#8221;<\/b> into the field <b>master<\/b> in the spark interpreter, as shown in the picture below.<\/li>\n<\/ul>\n<p><a href=\"http:\/\/datascientists.info\/wp-content\/uploads\/2016\/09\/spark_interpreter_yarn.png\"><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/datascientists.info\/wp-content\/uploads\/2016\/09\/spark_interpreter_yarn.png\" alt=\"spark_interpreter_yarn\" width=\"500\" height=\"337\" class=\"alignnone size-medium wp-image-267\" \/><\/a><\/p>\n<p>After these steps you can use your notebooks with spark running on a yarn cluster. So you can make use of all the resources in the queue you assigned spark on you cluster.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Apache Zeppelin is pretty usefull for interactive programming using the web browser. It even comes with its own installation of Apache Spark. For further information you can check my earlier post. But the real power in using Spark with Zeppelin lies in its easy way to connect it to your existing Spark cluster using YARN. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,9,10],"tags":[],"ppma_author":[144],"class_list":["post-504","post","type-post","status-publish","format-standard","hentry","category-big-data","category-tools","category-visualization","author-marc"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Apache Zeppelin: Use with remote Spark cluster and Yarn - DATA DO - \u30c7\u30fc\u30bf \u9053<\/title>\n<meta name=\"description\" content=\"Making use of Apache Zeppelin and an remote YARN cluster for computing and visualization.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientists.info\/index.php\/2016\/09\/29\/apache-zeppelin-use-remote-spark-cluster-yarn\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Apache Zeppelin: Use with remote Spark cluster and Yarn - 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