Query Excel Data Directly with SQLite Using the xlite Extension
This article introduces xlite, a Rust‑based SQLite extension that lets you import Excel files as virtual tables and run full SQL queries for data lookup and analysis, outlining a simple three‑step workflow and noting current read‑only limitations.
SQLite is a lightweight, file‑based database that offers full SQL capabilities without a separate installation, making it attractive for storing and analyzing data directly from Excel.
The tool xlite is an SQLite extension written in Rust that allows Excel files (.xlsx, .xls, .ods) to be imported as virtual tables, enabling SQL queries on spreadsheet data.
The typical workflow is:
Load the extension with .load libxlite.
Create a virtual table that points to the local Excel file and specify the column range.
Run standard SQL statements to search and analyze the data.
This simple process provides powerful Excel support, a boon for heavy Excel users.
xlite has gained over 1 000 stars on GitHub, but currently only supports read‑only queries; INSERT, UPDATE, and DELETE operations are not yet available.
For more information, visit the project page: https://github.com/x2bool/xlite.
Signed-in readers can open the original source through BestHub's protected redirect.
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