CData Python Connector for Google BigQuery

Build 24.0.9060

Modifying Data

Commands can be executed individually by the session with a call to "execute()".

Obtaining the Table Object

The query supplied to this method is constructed using the associated Table object of a mapped class. This Table object is obtained from the mapped class's metadata field, as below:

[publicdata].[samples].github_nested_table = [publicdata].[samples].github_nested.metadata.tables["[publicdata].[samples].github_nested"]

Once the table object is obtained, the write operations are executed in the following ways. The queries are executed immediately without the need for a call to "commit()":

Insert

The following example adds a new record to the table:

session.execute([publicdata].[samples].github_nested_table.insert(), {"actor.attributes.email": "EntityFramework", "repository.name": "CoreCLR"})

Update

The following example modifies an existing record in the table:

session.execute([publicdata].[samples].github_nested_table.update().where([publicdata].[samples].github_nested_table.c.Id == "1").values(actor.attributes.email="EntityFramework", repository.name="CoreCLR"))

Delete

The following example removes an existing record from the table:

session.execute([publicdata].[samples].github_nested_table.delete().where([publicdata].[samples].github_nested_table.c.Id == "1"))

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Build 24.0.9060