dataql-quick
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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
DataQL Quick Query
For fast data inspection and simple queries using DataQL.
Quick Commands
| Task | Command |
|---|---|
| Preview file | dataql run -f <file> -q "SELECT * FROM <table> LIMIT 5" |
| Count rows | dataql run -f <file> -q "SELECT COUNT(*) FROM <table>" |
| Check schema | dataql run -f <file> -q ".schema <table>" |
| List tables | dataql run -f <file> -q ".tables" |
| Distinct values | dataql run -f <file> -q "SELECT DISTINCT <column> FROM <table>" |
| Filter rows | dataql run -f <file> -q "SELECT * FROM <table> WHERE <condition> LIMIT 10" |
File Naming Convention
- Table name = filename without extension
-
users.csv-> table name isusers -
orders.json-> table name isorders -
data.parquet-> table name isdata
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
jqor 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
| Problem | Solution |
|---|---|
| "column not found" | Check column names with .schema (case sensitive) |
| "table not found" | Table name = filename without extension |
| Too much output | Add LIMIT 10 or LIMIT 5 to query |
| File too large | Use --cache flag to cache imported data |
| Wrong delimiter | Use -d ";" for semicolon-separated files |
Notes
- Always use LIMIT for large files to avoid overwhelming output
- Use
.schemafirst to understand column names and types - For stdin input with non-CSV format:
-i jsonor-i jsonl - Use
--cachefor repeated queries on the same file - Use
-Q(quiet) to suppress progress bar in scripts
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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