Fix GCP BigQuery Load Csv Errors

When working with GCP BigQuery, you may encounter a configuration error that prevents your data pipeline or messaging system from working. This guide explains the most common mistake with load csv and shows the exact fix.

A Common Mistake

Loading a CSV file into BigQuery without handling header rows or specifying skip_leading_rows, causing the header row to be loaded as data.

The incorrect command:

bq load --autodetect my_project:my_dataset.my_table data.csv

Error output:

Loaded 1001 rows (including header).
The first row contains column names: id,name,email
But it is loaded as a data row. Queries show strange results:
SELECT MAX(LENGTH(name)) FROM my_table
Result includes 'name' (header text) as the longest string.

The Correct Approach

The right way to configure load csv in GCP BigQuery:

bq load --autodetect --skip_leading_rows=1 my_project:my_dataset.my_table data.csv

Successful result:

Loaded 1000 rows (header skipped).
The header row is skipped during loading. Only actual data rows are loaded. Column names are correctly inferred from the header.

How to Prevent This

Always use --skip_leading_rows=1 for CSV files with headers. Use --null_marker for custom null values. Use --max_bad_records to allow some parsing errors. Validate data with SELECT COUNT(*) after loading. Use --source_format=CSV explicitly. Use external tables for ad-hoc CSV analysis.

FAQ

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