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I am currently using Goose to manage migrations for PostgreSQL databases and have found it to be an excellent tool. I would like to extend its use to manage migrations for Google BigQuery datasets. However, I noticed that BigQuery is not currently supported as a database dialect in Goose.
I am aware that Goose allows for the implementation of custom stores through the goose.NewProvider function, as discussed in Issue #742. While this provides a workaround, having native support for BigQuery would streamline the migration process and benefit other users who utilize BigQuery.
Request:
I am requesting the addition of native support for Google BigQuery as a database dialect in Goose. This would involve implementing a BigQuery-compatible dialect that can handle the specific SQL syntax and features of BigQuery.
Benefits:
Consistency: Users can manage migrations across different database systems using a single tool.
Efficiency: Eliminates the need for custom implementations, reducing development time and potential errors.
Community Support: Encourages collaboration and shared solutions for BigQuery migrations within the Goose community.
The text was updated successfully, but these errors were encountered:
I am currently using Goose to manage migrations for PostgreSQL databases and have found it to be an excellent tool. I would like to extend its use to manage migrations for Google BigQuery datasets. However, I noticed that BigQuery is not currently supported as a database dialect in Goose.
I am aware that Goose allows for the implementation of custom stores through the goose.NewProvider function, as discussed in Issue #742. While this provides a workaround, having native support for BigQuery would streamline the migration process and benefit other users who utilize BigQuery.
Request:
I am requesting the addition of native support for Google BigQuery as a database dialect in Goose. This would involve implementing a BigQuery-compatible dialect that can handle the specific SQL syntax and features of BigQuery.
Benefits:
Consistency: Users can manage migrations across different database systems using a single tool.
Efficiency: Eliminates the need for custom implementations, reducing development time and potential errors.
Community Support: Encourages collaboration and shared solutions for BigQuery migrations within the Goose community.
The text was updated successfully, but these errors were encountered: