name: dataql-quick description: Quick data queries and previews. Use when user wants to see contents of a data file, check schema, or do simple filtering on CSV, JSON, or other data files. tools:

• Bash

DataQL Quick Query

For fast data inspection and simple queries using DataQL.

Quick Commands

File Naming Convention

• Table name = filename without extension
• users.csv -> table name is users
• orders.json -> table name is orders
• data.parquet -> table name is data

Examples

Preview a CSV file

dataql run -f users.csv -q "SELECT * FROM users LIMIT 5"

Count records

dataql run -f orders.json -q "SELECT COUNT(*) as total FROM orders"

Check structure

dataql run -f data.parquet -q ".schema data"

Simple filter

dataql run -f products.csv -q "SELECT name, price FROM products WHERE price > 100 LIMIT 10"

Read from stdin

cat data.csv | dataql run -f - -q "SELECT * FROM stdin_data LIMIT 5"

Note: When reading from stdin, the default table name is stdin_data.

Supported Formats

• CSV (with custom delimiter: -d ";")
• JSON (arrays or objects)
• JSONL/NDJSON
• XML
• YAML
• Parquet
• Excel (.xlsx, .xls)
• Avro
• ORC

Output Options

• Default: formatted table
• JSON output: pipe to jq or use export
• CSV export: -e output.csv -t csv
• JSONL export: -e output.jsonl -t jsonl

Exploratory Statistics

# Get comprehensive statistics for a file
dataql describe -f data.csv

# Describe specific table after loading
dataql run -f data.csv -q ".describe data"

Quick Troubleshooting

Notes

• Always use LIMIT for large files to avoid overwhelming output
• Use .schema first to understand column names and types
• For stdin input with non-CSV format: -i json or -i jsonl
• Use --cache for repeated queries on the same file
• Use -Q (quiet) to suppress progress bar in scripts