5 Answers Sorted by: 19 You can use a CREATE TABLE statement to create the table using standard SQL. This might take up top 30 seconds. From here, you'll see the Destination Table section: Simply click Select Table and the popup will ask you to select the Project, Dataset, and specify the Table Name to use as your destination table. The create table menu option will activate the creation of a BigQuery table. Data definition language (DDL) statements let you create and modify BigQuery resources using GoogleSQL query syntax. Command-specific flag s: they are allowed with some specific bq commands only. The bqShema function is used to create the BigQuery schema. You can use DDL commands to create, alter, and delete resources, such as. Freelance Google Cloud Platform Architect, Google Workspace GDE. The function uses recursion to create record in the bq schema. This schema could be copied into the GUI to create the table. When you think automation in G Suite then you will end up at Google Apps Script. It started as a simple sheet with a few standard functions that produced the JSON schema. Google sheets is great for collaboration and provided me a way to share the table designs with other team members. The debate about field names was moved to the comments and everybody was using the same version. A bonus was the documentation and creation of the tables in one place. The custom menu is added by the onOpen function. Next, Compose a Query just like normal, but before executing it via the Run Query button, click the Show Options button. This function is called when the sheet loads and it will add the menu item to the menu bar. By design it will fail if the table already exists. Basic knowledge of the Google Cloud platform, projects, enabling APIs and BigQuery is assumed. It enables businesses to evaluate their data more quickly and generate insights using normal SQL queries. Next add the project id and datasets that you want to use in the config tab. Each tab in the spreadsheet represents a table. First create a copy of the 2019 BigQuery Table builder sheet. A new menu item "BigQuery menu" will appear. A new menu item BigQuery menu will appear. First create a copy of the 2019 BigQuery Table builder sheet. Creating BigQuery tables using the standard GUI can be a hassle. This article describes an alternative way to create BigQuery tables using the BigQuery Table builder sheet. This Google Spreadsheet automates the creation of the BigQuery tables, documents the tables and supports collaboration around the table schema design. Next step was sharing the sheet in the team. bq mk test_dataset. The function uses Advanced Google services in Apps Script to call the BigQuery API. Steps to create a table in BigQuery using the bq mk command are listed below: Step 1: Create a Dataset, if required. You can create a table in BigQuery in the following ways: Manually using the Google Cloud console or the bq command-line tool bq mk command. The description field is optional, it will be copied to the description field of the table. What is the Create Table Schema? I used apps script to create a custom function in the sheet that generates the JSON schema. For each field fill in the name, data type and type and optionally the description. I created this sheet to speed up the process of creating the BigQuery tables. Step 2 : Create a Table in the test_dataset Dataset. Programmatically by calling the tables.insert. Automating the creation of the table, support for records and repeated fields would be nice. Here's an example of creating a users table in BigQuery: create table `project-id.dataset.funky_users` ( first_name STRING, last_name STRING, has_tried_popsql BOOL, number_of_friends INT64 not null -- chance to specify not null constraints ); This is to prevent replacing an existing table with data. A custom menu is added to the sheet that runs the function that creates the table. Once the sheet is set up and the table is defined the tables can be created. In column B select the correct project id, dataset and the name of the table. This worked fine and I started using the sheet for all the BigQuery tables. Schema Mode: REQUIRED, NULLABLE, and REPEATABLE Schema Columns: Edit as text Schema Column: Manually adding each field Schema Column: Setting the Default Value Schema Column: Maximum Length Create Table from a Query using AS SELECT Create Table from CSV Open the Create Table Schema Window The first time you run this action you need to authorize the script that will create the table. The added value of the sheet was clear and I started looking for some optimisations. In case you get stuck, leave a comment below and I will assist with the setup of the sheet. Creating Datasets Creating and using Tables Introduction to Google BigQuery Image Source Google BigQuery is a fully-managed Cloud Data Warehouse that lets you use SQL to manage terabytes of data. A new menu item "BigQuery menu" will appear. For multiple tables, create a copy of an existing tab and replace the field definitions with the new ones. In your case the statement would look something like this: CREATE TABLE `example-mdi.myData_1.ST` ( `ADDRESS_ID` STRING, `INDIVIDUAL_ID` STRING, `FIRST_NAME` STRING, `LAST_NAME` STRING, . To prevent deleting existing tables the sheet will never overwrite a table, the sheet will throw an error message if the table already exists. From the website: Apps Script is a rapid application development platform that makes it fast and easy to create business applications that integrate with G Suite. Use the dot notation for repeated fields. This might take up top 30 seconds. The createTable function collects the data from the sheets and calls the BigQuery API. The menu item calls the createTable function. This sheet will only work with a project that has the BigQuery API enabled.
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