Google BigQuery Encountering an 'invalidDataFormat' error during a load job in Google BigQuery.

The data format specified for a load job is incorrect or unsupported.

Understanding Google BigQuery

Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is designed to make data analysis accessible and efficient, allowing users to run fast SQL queries using the processing power of Google's infrastructure. BigQuery is particularly useful for handling large datasets and performing complex analytical queries.

Identifying the Symptom

When working with Google BigQuery, you might encounter an error message indicating an 'invalidDataFormat'. This error typically arises during a load job, where data is being imported into BigQuery from an external source. The error message might look something like this:

Error: invalidDataFormat - The data format specified for the load job is incorrect or unsupported.

Common Observations

Users may notice that their data import process fails, and the error message is displayed in the job details within the Google Cloud Console or through the command-line interface.

Exploring the Issue

The 'invalidDataFormat' error occurs when the data format specified in the load job does not match any of the supported formats by BigQuery. BigQuery supports several data formats for loading data, including CSV, JSON, Avro, Parquet, and ORC. Specifying an unsupported format or incorrectly configuring the format options can trigger this error.

Supported Data Formats

  • CSV (Comma-Separated Values)
  • JSON (JavaScript Object Notation)
  • Avro
  • Parquet
  • ORC (Optimized Row Columnar)

For more details on supported formats, refer to the BigQuery Loading Data Documentation.

Steps to Fix the Issue

To resolve the 'invalidDataFormat' error, follow these steps:

Step 1: Verify the Data Format

Ensure that the data format specified in your load job matches one of the supported formats. Check the configuration settings in your load job script or interface.

Step 2: Correct the Format Specification

If the format is incorrect, update it to a supported format. For example, if you intended to load a CSV file, ensure that the format is set to 'CSV'. Here is an example command using the bq command-line tool:

bq load --source_format=CSV mydataset.mytable gs://mybucket/mydata.csv

Step 3: Review Format Options

Some formats, like CSV, have additional options such as specifying delimiters or quote characters. Ensure these options are correctly configured. For example:

bq load --source_format=CSV --field_delimiter="," --quote="'" mydataset.mytable gs://mybucket/mydata.csv

Step 4: Re-run the Load Job

After making the necessary corrections, re-run the load job. Monitor the job status in the Google Cloud Console or using the bq command-line tool to ensure it completes successfully.

Conclusion

By ensuring that the data format is correctly specified and matches one of the supported formats, you can resolve the 'invalidDataFormat' error in Google BigQuery. For further assistance, consult the BigQuery Jobs API Documentation for more detailed information on job configurations.

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