sqlshell 0.1.9

A powerful SQL shell with GUI interface for data analysis

SQLShell

A modern SQL REPL interface for seamless querying of Excel, Parquet, and SQLite databases

🚀 Key Features

• Interactive SQL Interface - Rich syntax highlighting for enhanced query writing
• DuckDB Integration - Built-in support for local DuckDB database (pool.db)
• Multi-Format Support - Import and query Excel (.xlsx, .xls), CSV, and Parquet files effortlessly
• Modern UI - Clean, tabular results display with intuitive controls
• Productivity Tools - Streamlined workflow with keyboard shortcuts (e.g., Ctrl+Enter for query execution)
• Professional Design - Human-readable interface with optimized graphics

📦 Installation

Linux Setup with Virtual Environment

# Create and activate virtual environment
python3 -m venv ~/.venv/sqlshell
source ~/.venv/sqlshell/bin/activate

# Install SQLShell
pip install sqlshell

# Configure shell alias
echo 'alias sqls="~/.venv/sqlshell/bin/sqls"' >> ~/.bashrc  # or ~/.zshrc for Zsh
source ~/.bashrc  # or source ~/.zshrc

Windows Quick Start

SQLShell is immediately available via the sqls command after installation:

pip install sqlshell

🎯 Getting Started

1. Launch the Application

   sqls
   

2. Database Connection

   • SQLShell automatically connects to a local DuckDB database named 'pool.db'

3. Working with Data Files

   • Click "Load Files" to select your Excel, CSV, or Parquet files
   • File contents are loaded as queryable SQL tables
   • Query using standard SQL syntax

4. Query Execution

   • Enter SQL in the editor
   • Execute using Ctrl+Enter or the "Execute" button
   • View results in the structured output panel

📝 Query Examples

Basic Join Operation

SELECT *
FROM sample_sales_data cd
INNER JOIN product_catalog pc ON pc.productid = cd.productid
LIMIT 3;

Multi-Statement Queries

-- Create a temporary view
CREATE OR REPLACE TEMPORARY VIEW test_v AS
SELECT *
FROM sample_sales_data cd
INNER JOIN product_catalog pc ON pc.productid = cd.productid;

-- Query the view
SELECT DISTINCT productid
FROM test_v;

💡 Pro Tips

• Use temporary views for complex query organization
• Leverage keyboard shortcuts for efficient workflow
• Explore the multi-format support for various data sources
• Create multiple tabs for parallel query development