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HarbourBridge Whitepaper

This whitepaper provides some context for HarbourBridge and describes our plans and aspirations.

Initial Version

Our first goal is a stand-alone turnkey tool for Cloud Spanner evaluation, using data from an existing PostgreSQL database. Decisions for this initial version are driven by a single criterion: make the tool easy to use with the absolute minimum of configuration. Put simply, we want

pg_dump mydb | harbourbridge

to "just work" for the majority of users.

To achieve this, the initial version automates every step of the process: we determine cloud project and Spanner instance, we generate a fresh database name, we build a Spanner schema and create a new Spanner database with this schema, and we populate it with data from pg_dump. Moreover, statements and features in the pg_dump output that don't map directly on Spanner features are simply ignored.

Many of the decisions we automate, while pragmatic for evaluation, are not appropriate for production database migration. In particular, schema migration is not a one-size-fits-all process. Production migrations involve many detailed tradeoffs and decisions about how types and other features of the source database should map into the target database. These decisions require context about system architecture and application usage patterns that usually aren't fully captured in the source database's schema. For the initial version, we punted on this issue in the interests of developing a simple turnkey tool.

Next Steps

While continuing to support the turnkey PostgreSQL evaluation use-case, we plan to expand to other databases and as well as evolve the HarbourBridge codebase to address production database migration needs:

  • Support for other databases. MySQL would be a logical next step, but we want to go beyond that and plan for any source database that users might want to use. To get there, we will need to find a more scalable way to access schema and data from the source database. While pg_dump was a useful way to get HarbourBridge boot-strapped, it requires us to parse the "dump" output of each source database, which represents significant upfront work and a long-term maintenance burden.

  • Support for user-guided schema conversion. This will likely involve splitting out the schema migration functionality into a separate stand-alone tool with a UI that guides users through the schema conversion choices, providing options, advice and links to documentation for each choice.

  • Support for larger databases. The initial version of HarbourBridge is only intended for databases up to a few GB. While it can be used for larger databases, it is missing key features to robustly support such usage. For example, our write-path for sending data to Spanner does not appropriately take into account the capacity of the Spanner instance used and how much of this capacity we can consume. While we do limit the number of in-progress Apply operations, this is not user configurable, and we may send data too fast for a single node instance, but too slow for a large multi-node instance. We should also support greater parallelism for writing large datasets e.g. multiple "writer-workers" running together. Moreover, we currently have no support for restarting the data conversion process.

End State

Our aspiration is to provide an open-source migration toolkit for Spanner that is:

  • flexible: composed of modules that can be combined, customized, replaced.

  • general: supports all source databases that Spanner users require.

  • scalable: supports small-scale experiments through to large database migrations.

  • fully-featured: e.g. supports offline and online migration.

  • community-driven: owned-by and developed-for the Cloud Spanner user community.

For more details, see HarbourBridge open issues.

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