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- Replication Architecture
- ========================
- Motivation
- ----------
- We'd like to be able to split some of the work that synapse does into multiple
- python processes. In theory multiple synapse processes could share a single
- postgresql database and we'd scale up by running more synapse processes.
- However much of synapse assumes that only one process is interacting with the
- database, both for assigning unique identifiers when inserting into tables,
- notifying components about new updates, and for invalidating its caches.
- So running multiple copies of the current code isn't an option. One way to
- run multiple processes would be to have a single writer process and multiple
- reader processes connected to the same database. In order to do this we'd need
- a way for the reader process to invalidate its in-memory caches when an update
- happens on the writer. One way to do this is for the writer to present an
- append-only log of updates which the readers can consume to invalidate their
- caches and to push updates to listening clients or pushers.
- Synapse already stores much of its data as an append-only log so that it can
- correctly respond to /sync requests so the amount of code changes needed to
- expose the append-only log to the readers should be fairly minimal.
- Architecture
- ------------
- The Replication Protocol
- ~~~~~~~~~~~~~~~~~~~~~~~~
- See ``tcp_replication.rst``
- The Slaved DataStore
- ~~~~~~~~~~~~~~~~~~~~
- There are read-only version of the synapse storage layer in
- ``synapse/replication/slave/storage`` that use the response of the replication
- API to invalidate their caches.
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