![]() ![]() On the file tab’s toolbar, click the Execute icon. In the file tab, enter these SQL statements, which deletes a table named diamonds if it exists, and then creates a table named diamonds based on the contents of the CSV file within the specified Databricks File System (DBFS) mount point: DROP TABLE IF EXISTS diamonds ĬREATE TABLE diamonds USING CSV OPTIONS (path "/databricks-datasets/Rdatasets/data-001/csv/ggplot2/diamonds.csv", header "true") ![]() In DataGrip, in the Database window, with the default schema expanded, click File > New > SQL File.Įnter a name for the file, for example create_diamonds. If you do not want to load a sample table, skip ahead to Next steps. For more information, see Create a table in Tutorial: Query data with notebooks. Use DataGrip to load the sample diamonds table from the Sample datasets into the default database in your workspace and then query the table. Step 5: Use DataGrip to run SQL statements ![]() ![]() In the Data Sources and Drivers dialog box, on the Schemas tab, check the box for each additional schema you want to access, and then click OK. To access tables in other schemas, in the Database window’s toolbar, click the Data Source Properties icon. Repeat the instructions in this step to access additional tables. The first set of rows from the table are displayed.
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