{"id":4838,"date":"2020-04-19T19:16:36","date_gmt":"2020-04-19T19:16:36","guid":{"rendered":"https:\/\/www.testpreptraining.com\/tutorial\/?page_id=4838"},"modified":"2020-04-19T19:16:36","modified_gmt":"2020-04-19T19:16:36","slug":"exporting-data-google-professional-data-engineer-gcp-2","status":"publish","type":"page","link":"https:\/\/www.testpreptraining.ai\/tutorial\/exporting-data-google-professional-data-engineer-gcp-2\/","title":{"rendered":"Exporting Data Google Professional Data Engineer GCP"},"content":{"rendered":"<ul>\n<li>can export the data in several formats.<\/li>\n<li>can export up to 1 GB of data to a single file.<\/li>\n<li>If exporting more than 1 GB of data, export to multiple files.<\/li>\n<li>need permissions to access the BigQuery table for export<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>Export limitations<\/strong><\/p>\n<ul>\n<li>cannot export table data to a local file, Google Sheets, or to Google Drive.<\/li>\n<li>can export up to 1 GB of table data to a single file.<\/li>\n<li>cannot export nested and repeated data in CSV format.<\/li>\n<li>For nested and repeated data use Avro and JSON exports.<\/li>\n<li>If export in JSON format, INT64 (integer) data types are encoded as JSON strings.<\/li>\n<li>cannot export data from multiple tables in a single export job.<\/li>\n<li>cannot choose a compression type other than GZIP if exporting by Cloud Console or the classic BigQuery web UI.<\/li>\n<\/ul>\n<p>You cannot change the location of a dataset after it is created, but you can make a copy of the dataset. You cannot move a dataset from one location to another, but you can manually move (recreate) a dataset.<\/p>\n<p><strong>Data format and compression<\/strong><\/p>\n<p>Data formats and compression types for exported data, are<\/p>\n<p>&nbsp;<\/p>\n<table width=\"100%\">\n<thead>\n<tr>\n<td width=\"14%\"><strong>Data format<\/strong><\/td>\n<td width=\"24%\"><strong>Supported compression types<\/strong><\/td>\n<td width=\"59%\"><strong>Details<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>CSV<\/td>\n<td>GZIP<\/td>\n<td>You can control the CSV delimiter in exported data by using the <u>&#8211;field_delimiter<\/u> CLI flag or the <u>configuration.extract.fieldDelimiter<\/u>. extract job property.<\/p>\n<p>Nested and repeated data is not supported.<\/td>\n<\/tr>\n<tr>\n<td>JSON<\/td>\n<td>GZIP<\/td>\n<td>Nested and repeated data is supported.<\/td>\n<\/tr>\n<tr>\n<td>Avro<\/td>\n<td>DEFLATE, SNAPPY<\/td>\n<td>GZIP is not supported for Avro exports.<\/p>\n<p>Nested and repeated data is supported.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Exporting data stored in BigQuery<\/strong><\/p>\n<p>export table data by:<\/p>\n<ul>\n<li>Using the Cloud Console or the classic BigQuery web UI<\/li>\n<li>Using the bq extract CLI command<\/li>\n<li>Submitting an extract job via the API or client libraries<\/li>\n<\/ul>\n<p><strong>Exporting data into one or more files<\/strong><\/p>\n<ul>\n<li>The destinationUris property indicates the location(s) and file name(s)<\/li>\n<li>BigQuery supports a single wildcard operator (*) in each URI.<\/li>\n<li>The wildcard can appear anywhere in the URI except as part of the bucket name.<\/li>\n<li>With wildcard BigQuery creates multiple sharded files based on the supplied pattern.<\/li>\n<li>wildcard is replaced with a number (starting at 0), left-padded to 12 digits.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>can export the data in several formats. can export up to 1 GB of data to a single file. If exporting more than 1 GB of data, export to multiple files. need permissions to access the BigQuery table for export &nbsp; Export limitations cannot export table data to a local file, Google Sheets, or to&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"categories":[617],"tags":[706,710,619,623,622,618,621],"class_list":["post-4838","page","type-page","status-publish","hentry","category-google-gcp","tag-bigquery","tag-bigquery-exporting-data","tag-data-engineer","tag-gcp","tag-google-certification","tag-google-cloud","tag-professional-data-engineer"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Exporting Data Google Professional Data Engineer GCP - Testprep Training Tutorials<\/title>\n<meta name=\"description\" content=\"Google Cloud Certified Professional Data Engineer Tutorial, dumps, brief notes on Exporting Data\" \/>\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.testpreptraining.ai\/tutorial\/exporting-data-google-professional-data-engineer-gcp-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Exporting Data Google Professional Data Engineer GCP - 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