Quary VSCode Extension

Quary is a VSCode extension that streamlines data analysis within your editor. It allows you to organize, wrangle, and analyze data with ease, turning VSCode into a powerful data analysis workbench.

Features

• Seamless Integration: Work with data right within VSCode.
• Project Scaffolding: Instantly generate a structured data project.
• Model Visualization: Render and visualize data models interactively.
• Test Execution: Run custom tests and validate your data models with built-in test suites.
• Integrations: Push your models and structure directly to a local SQLite database or BigQuery, allowing for collaboration and use by others.

Requirements

• VSCode version 1.8 or higher.

Core commands

• quary.run: Configure and run your Quary data project.
• quary.runTests: Execute tests against your data models.
• quary.renderModel: Visualize data models within VSCode. ...

Known Issues

There are no known issues at the moment. For any new issues, please report them on our GitHub repository.

Release Notes

• Initial prerelease version.

Getting Started with Quary

Quary projects consist of seeds, models, tests, sources, and custom tests. Don't be daunted by the terminology; our guide will walk you through each component.

Quickstart

1. Open the Sample Project: Access our template repository in GitHub's VSCode instance with no account required.
2. Install Quary: Search for Quary.quary in the extensions tab and install.
3. Run Your Project: Use QUARY: Run from the command palette to start your project against a sqlite database.

Anatomy of a Quary Project

• project.yml: Root configuration file defining tests, models, and seeds.
• .quary.config.yaml: Specifies build configurations and database connections.
• seeds/: Holds initial data from .csv files to populate the database.
• models/: Contains SQL-based data models for project analysis.

Your First Model

Models are at the heart of Quary, letting you transform raw data into insightful analytics. For example, shifts_by_month helps analyze employee shifts over time.

SELECT
  employee_id,
  strftime('%Y-%m', shift_date) AS shift_month,
  COUNT(*)                     AS total_shifts
FROM q.stg_shifts
GROUP BY employee_id, shift_month