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The Google CloudSpanner dialect for SQLAlchemy is generally available


Google Cloud recently announced the general availability of the Spanner dialect that allows SQLAlchemy applications to run on distributed SQL database management and storage services.

Used by companies such as DropBox and Reddit, SQLAlchemy is a Python SQL toolkit that enables application developers to use SQL. Known as the Object-Relational Mapper (ORM). It is a component that provides a data mapper pattern that allows you to isolate classes and map them to a database to keep the underlying SQL and object-relational details transparent.

The CloudSpanner dialect for SQLAlchemy, built on top of the Spanner DB API, is an open source project that supports migration via Alembic. Shanika Kuruppu, Google’s senior software engineer, warns:

The migration script can generate many DDL statements, and executing each statement individually will slow down the migration. Therefore, it is highly recommended to use the Alembic batch context feature to pack DDL statements into groups of statements.

Cloud Spanner supports interleaved tables, generated columns, query hints, and old reads. All read-only transactions default to strong reads, but you can use explicit timestamp bindings to perform old reads. To improve performance, Kuruppu suggests:

Use explicit connections to reuse connections across multiple queries. You can also use an implicit connection, but this is not recommended because the dialect requires you to establish a new connection to the database for each Connection.execute () call.

Among the restrictions when running SQLAlchemy in Cloud Spanner, distributed databases do not support the creation of unique constraints, do not allow DDL statements in transactions, and do not support mutations. All features and limitations, including the lack of auto-increment IDs, are described on the GitHub page.

Cloud providers have also announced the general availability of the Ruby Active Record Adapter for Google Cloud Spanner, an ORM library bundled with Ruby on Rails. Pritam Shah, Google’s Director of Engineering, explains the importance of supporting different ORM frameworks:

I want to democratize Spanner-I want it to be available to all developers, not just large companies. We have released the CloudSpannerAdapter for ActiveRecord and the Spanner dialect for SQLAlchemy for Ruby and Python developers.

The Python client for CloudSpanner and SQLAlchemy 1.3 documentation details how to use SQLAlchemy to query and modify Google Spanner data.




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