Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is designed to make data analytics accessible and efficient, allowing users to run fast SQL queries using the processing power of Google's infrastructure.
When working with Google BigQuery, you might encounter an error message indicating an 'invalidTableName'. This error typically occurs during the creation or access of a table within your dataset.
The error message will usually state that the table name is invalid, preventing you from proceeding with your intended operation.
The 'invalidTableName' error arises when the table name does not adhere to BigQuery's naming conventions. According to Google's documentation, table names must:
Common mistakes include using special characters, starting the name with a number, or exceeding the character limit.
To resolve the 'invalidTableName' error, follow these steps:
Ensure that your table name complies with the naming conventions. Avoid using special characters and ensure it starts with a letter or underscore.
If the table name is invalid, rename it using a valid format. For example, if your intended name is '123SalesData', change it to '_123SalesData' or 'SalesData123'.
Use the following SQL command to create a table with a valid name:
CREATE TABLE dataset_name.valid_table_name (
column_name DATA_TYPE,
...
);
After renaming, verify the table creation or access operation. If the error persists, double-check the name against the naming conventions.
By ensuring your table names adhere to Google BigQuery's naming conventions, you can avoid the 'invalidTableName' error and streamline your data operations. For further guidance, refer to the Google BigQuery documentation.
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