Quickly diagnose and correct BigQuery syntax errors so your SQL runs without interruption.
BigQuery throws a syntax error when the SQL parser encounters an unexpected token such as a missing comma, stray quotation mark, outdated legacy-SQL keyword, or mis-matched parentheses.
Read the error message: BigQuery highlights the first unexpected token and shows the byte offset.Copy the query into Galaxy or the BigQuery UI; both tools underline the failing part for faster debugging.
StandardSQL expects SELECT <columns> FROM <dataset.table> [WHERE] [GROUP BY] [HAVING] [ORDER BY] [LIMIT]. Clause order matters; swapping them triggers a syntax error.
Use back-ticks (`) around dataset, table, or column names that contain uppercase letters, spaces, or reserved words.Do not mix single quotes ('') for identifiers; single quotes are for string literals only.
SELECT `name`, `total_amount`
FROM `shop.Orders`
WHERE `order_date` > '2023-01-01';
Always specify the target alias before the source in MERGE.Incorrect alias placement is a frequent syntax issue.
MERGE `shop.Customers` AS t
USING `staging.new_customers` AS s
ON t.id = s.id
WHEN NOT MATCHED THEN
INSERT (id, name, email, created_at)
VALUES (s.id, s.name, s.email, s.created_at);
BigQuery defaults to StandardSQL. Legacy-SQL features like SELECT * EXCEPT() or square-bracket table names break. Add #legacySQL
or convert to Standard.
1) Enable StandardSQL mode explicitly with --standardSQL
. 2) Format queries with Galaxy’s formatter.3) Validate query fragments incrementally. 4) Use parameterized queries instead of string-concatenation.
Wrap risky DML in BEGIN TRANSACTION … ROLLBACK
to confirm syntax first. Use LIMIT 10 during testing to shorten feedback loops.
Yes. gcloud’s bq query --dry_run --use_legacy_sql=false
validates SQL without executing it. Integrate into CI to stop faulty code before deployment.
.
No. Use CASE expressions inside SELECT or WHERE to perform conditional logic.
Add #standardSQL
at the top of your query or set the editor to StandardSQL mode. Rework any legacy-only functions.
You probably missed the USING clause or aliased tables incorrectly. Follow the MERGE → USING → ON → WHEN order exactly.