Create a SQLite Database from Vim Using SQLiteBiter

SQLiteBiter is a robust command-line interface tool designed to create SQLite databases from various formats, including CSV, JSON, and more. It offers a simple and efficient way to import and organize data into SQLite databases, making it an essential resource for developers and data analysts alike.

SQLiteBiter can be used in Windows environments without the need for a Python installation. To get started, first navigate to the releases page on GitHub. From there, download the latest version of the sqlitebiter_windows_amd64.zip file. Once the download is complete, unzip the file to access its contents. Finally, you can execute sqlitebiter.exe in either Command Prompt or PowerShell to begin using the tool.

As shown in the video below, the map command in Vim is used to display all the current key mappings in your Vim session. It provides a comprehensive list of shortcuts that you can use to enhance your editing efficiency. The output includes the mode (such as Normal, Insert, or Visual), the key sequence, and the corresponding command that will be executed when the key is pressed. By utilizing this command, you can easily view and manage your key bindings, making it a valuable tool for customizing your Vim experience.

In the video, you can also see how to capture the output of the map command, redirect it to a buffer, and then format it appropriately to create a CSV table. This process demonstrates the seamless integration of Vim with SQLiteBiter, showcasing how you can efficiently convert data from Vim into a SQLite database.

Similarly, when you simply type

   :command

in Vim, it displays a list of all the user-defined commands that have been created in your current Vim session. This command is useful for reviewing any custom commands you or other plugins may have set up.

Finally, we can upload the SQLite database to a server's static directory and query it in the browser using a webpage that leverages WebAssembly SQLite.

In order to get the WASM SQLite working in a webpage, we need sql-wasm.js and sql-wasm.wasm available from a server. These files can be extracted from sqlite-wasm.zip.

In the video, we showed the result of the following query:

   SELECT * FROM csv1 WHERE  Mapping LIKE '%:LSP%';

This query returns the following table in JSON format:

Mode	Key	Mapping
n	K	:LspHover
n	gr	:LspPeekReference
n	gd	:LspGotoDefinition

For more details, check the source page by pressing Ctrl+U in Edge browser, or Ctrl+Shift+i in Vivaldi web browser.