GoogleSQL
Describe your business question in plain English. AI will generate an optimized BigQuery SQL with proper schema awareness and safety validation.

Text to GoogleSQL

Generated Query

Valid
1SELECT DATE_TRUNC(order_date, WEEK) AS week_start, acquisition_channel, SUM(revenue) AS weekly_revenue,2COUNT(*) AS order_count FROM `analytics.orders` WHERE order_date >= DATE_SUB(CURRENT_DATE(), INTERVAL 83WEEK) AND order_date < CURRENT_DATE() AND status = 'completed' GROUP BY DATE_TRUNC(order_date, WEEK),4acquisition_channel ORDER BY week_start DESC, weekly_revenue DESC;5678910111213141516
Est. cost~$0.02~240 MB scanned~2.1s
BigQuery Standard SQL

GoogleSQL Tutorials

SEO-friendly learning paths for BigQuery analysts and developers.

Beginner

Date Bucketing in GoogleSQL

Use DATE_TRUNC, EXTRACT, and calendar-safe filters for weekly and monthly reporting.

Intermediate

Window Functions for Analysts

Rank rows, compute running totals, and compare current rows to prior periods.

Practical

Safer BigQuery Cost Patterns

Reduce scanned bytes with partitions, selected columns, and bounded date filters.

Cheat Sheets

Fast references for dates, JSON, arrays, and windows.

Open

Dates

DATE_TRUNC(order_date, MONTH)

Arrays

CROSS JOIN UNNEST(items) AS item