{"id":110402,"date":"2021-06-17T07:00:00","date_gmt":"2021-06-17T04:00:00","guid":{"rendered":"https:\/\/www.javacodegeeks.com\/?p=110402"},"modified":"2021-06-14T11:30:08","modified_gmt":"2021-06-14T08:30:08","slug":"bigquery-storage-api-get-started-and-comparisons","status":"publish","type":"post","link":"https:\/\/www.javacodegeeks.com\/2021\/06\/bigquery-storage-api-get-started-and-comparisons.html","title":{"rendered":"BigQuery Storage API: Get Started and Comparisons"},"content":{"rendered":"<p>BigQuery provides us with the Storage API for fast access using an rpc-based protocal. With this option you can receive the data in a binary serialized format. The alternative ways to retrieve BigQuery Data is through the Rest API and a Bulk export.<\/p>\n<p>Bulk Data export is a good solution to export big result sets however you are limited to where the data are getting stored (Google Cloud Storage), and some daily limits on exports.<\/p>\n<p>Thus the storage API combines the flexibility of using a rpc protocol, the efficiency of downloading big results sets in a binary format and the flexibility to choose where those data shall be stored.<\/p>\n<p>The storage API provides two ways to stream Data, either through Avro or through Arrow.<div style=\"display:inline-block; margin: 15px 0;\"> <div id=\"adngin-JavaCodeGeeks_incontent_video-0\" style=\"display:inline-block;\"><\/div> <\/div><\/p>\n<p>When using the Storage API first step is to create a Session. The format (Avro\/Arrow) should be specified. This session can have more than one Streams, max number of streams can be specified.<br \/>Streams will contain the data in the format specified and can be read in parallel. The session expires on its own with no need for handling.<\/p>\n<p>If a Session request is successful then it shall contain the schema of the data and the streams to use to download the data.<\/p>\n<p>For the following example we assume the table, that we read data from has two columns, col1 is a string and col2 is a number. An Arrow example of this schema can be found <a href=\"https:\/\/www.javacodegeeks.com\/2021\/05\/apache-arrow-on-the-jvm-get-started-and-schemas.html\">here<\/a>.<\/p>\n<p>In order to test the storage api you need an account on <a href=\"https:\/\/console.cloud.google.com\/bigquery\">GCP<\/a> with the BigQuery Storage API enabled and a dataset created.<\/p>\n<p>Let\u2019s continue to the <a href=\"https:\/\/egkatzioura.com\/2021\/06\/08\/bigquery-storage-api-arrow\/\">Arrow<\/a> example.<\/p>\n<div class=\"attribution\">\n<table>\n<tbody>\n<tr>\n<td>\n<p>Published on Java Code Geeks with permission by Emmanouil Gkatziouras, partner at our <a href=\"\/\/www.javacodegeeks.com\/join-us\/jcg\/\" target=\"_blank\" rel=\"noopener\">JCG program<\/a>. See the original article here: <a href=\"https:\/\/egkatzioura.com\/2021\/06\/08\/bigquery-storage-api-get-started-and-comparisons\/\" target=\"_blank\" rel=\"noopener\">BigQuery Storage API: Get Started and Comparisons<\/a><\/p>\n<p>Opinions expressed by Java Code Geeks contributors are their own.<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>BigQuery provides us with the Storage API for fast access using an rpc-based protocal. With this option you can receive the data in a binary serialized format. The alternative ways to retrieve BigQuery Data is through the Rest API and a Bulk export. Bulk Data export is a good solution to export big result sets &hellip;<\/p>\n","protected":false},"author":936,"featured_media":112,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[372],"class_list":["post-110402","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-enterprise-java","tag-big-data"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>BigQuery Storage API: Get Started and Comparisons - Java Code Geeks<\/title>\n<meta name=\"description\" content=\"Interested to learn about BigQuery? 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