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Load when writing or debugging BigQuery SQL, including project.dataset.table names, backtick identifiers, date formatting, casts, regex functions, and BigQuery-specific query limits.
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Basé sur la classification professionnelle SOC
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| name | dialect-bigquery |
| description | Load when writing or debugging BigQuery SQL, including project.dataset.table names, backtick identifiers, date formatting, casts, regex functions, and BigQuery-specific query limits. |
| entities | ["bigquery","google bigquery","sql","dataset","project.dataset","safe_cast","regexp_contains"] |
Use this skill for Google BigQuery connections.
| Feature | BigQuery syntax | Notes |
|---|---|---|
| Identifiers | `project.dataset.table` or `column` | Fully qualify tables when project/dataset is known. |
| Type casts | CAST(x AS type), SAFE_CAST(x AS type) | Prefer SAFE_CAST for dirty data. |
| String concat | CONCAT(a, b) | ` |
| Pattern match | REGEXP_CONTAINS(value, r'pattern') | Use raw regex strings with r''. |
| Dates | DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY) | Use BigQuery date/time functions. |
| Formatting | FORMAT_DATE('%Y-%m', order_date) | Use FORMAT_TIMESTAMP for timestamps. |
| Arrays/structs | UNNEST(array_col) | Use aliases when unnesting repeated fields. |
Avoid relying on PostgreSQL-specific casts (::type) or interval syntax. Be careful with subqueries and always test the BigQuery dialect returned by inspection tools.
-- project: my_proj, dataset: analytics
SELECT
product,
FORMAT_DATE('%Y-%m', order_date) AS month,
SUM(amount) AS total_sales
FROM `my_proj.analytics.orders`
WHERE order_status = 'completed'
AND order_date >= '2024-01-01' AND order_date < '2025-01-01'
GROUP BY product, month
ORDER BY product, month
LIMIT 500;
This calculates monthly sales by product using BigQuery backtick identifiers and FORMAT_DATE.