![]() ![]() You can edit this if you want, just make sure you select the checkbox next to “Column Names in First Line.”Ĭlick “OK” (it’s off-screen in the image above). The name of the file is used as the name of the table. Click “Open,” and a preview dialog appears to show you how DB4S will interpret the CSV data. In our example, it’s called “users.csv,” and it’s located in the root of our home directory. A file selection dialog opens in which you can choose your CSV file. When the “Edit Table Definition” dialog appears, click “Cancel.” Back in the main DB4S window, click File > Import > Table From CSV File. We’re going to call ours “howtogeek.sqlite3” and save it in our home directory. ![]() Name your new database and decide where to save it. To do so, click “New Database” in the toolbar.Ī file-save dialog opens. When you import CSV data, you have to create an empty database so you have something to import it to. This is the same data as before only the file format has changed. The other lines hold the data values for each record that will be added to the table. The first line holds the field names: first_name, last_name, created, email, state, and ID. The most convenient way to do so is to have the table field names in the CSV file as the first row of text. We can also import tables from suitable CSV files. Importing a Database Table from a CSV File We have four records that contain double “l” in the last name, and they’re sorted alphabetically by state, from Arizona to Wisconsin. The results are displayed in the lower pane. Click the blue arrow (it looks like a “Play” button) to run your SQL command. This will search for people with a double “l” in their last name, and the results will be sorted by state. We’ve added the following SQL command: SELECT * FROM account_details WHERE last_name LIKE "%ll%" ORDER BY state With an SQL-enabled database, we use the SQL language to do this. Of course, the power of a database lies in its ability to search and extract records. It will be added automatically whenever a new record is added to the database. SQLite creates a table to keep track of auto-incrementing fields.Ĭlick the “Browse Data” tab to see your newly added records. This is because the “id” field was defined as an auto-incrementing field. There are two tables created, although there was only a definition for one in the SQL file. The main DB4S window will now display the structure of our database. After it’s complete, you’ll see the notification dialog below.īecause we’ve added tables and data to the database, we’re prompted to save those changes, so we click “Save” to do so. We’ve identified our source SQL file and named our new database, so the import process can now begin. We called ours “geekbase.sqlite3,” and we’re saving it in our home directory.Ĭlick “Save” when you’re ready to proceed. You now have to name your new database and decide where to save it. With the file selected, we click “Open,” and a file-save dialog opens. In our example, it’s called “database_dump.sql,” and it’s located in the root of our home directory. A file selection dialog opens so we can choose our SQL file. ![]()
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