implement dual-write workflows with go-workflows #28
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the main drivers to replace with go-workflows are: - we through the maintainer it's being used in production in a large scale system - type-safety with generics, less boilerplate - more approachable backend interface - redis support This commit conducted a refactoring of the code, added unit tests, and addressed a corner-case in CheckKubeResource method
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Implement as alternative to MSFT's durable-task
Also undoes #27, because that was a bad idea ™️ 🙈 The amount of complexity it added did not justify it, and both implementations are different enough to become a mess to reconcile both
Main benefits:
BackendinterfaceDrawbacks:
Forked go-workflows
I forked
go-workflowsbecause I couldn't makekobuild a CGO-enabled image, so I replaced the CGO library with the Go native library in my fork. This will come in handy as I bring in the Postgres driver tooIt's also modified to set the maximum number of connections to 1. SQLite is designed to have multiple readers and a single writer, so whenever 2 processes attempt to write to the same database, a
database is locked (5) (SQLITE_BUSY)will show up. Followed the advice in mattn/go-sqlite3#274Changes to tests
Some E2E tasks were changed due to some subtle changes to how
go-workflowshandles errors:go-workflows: on panic, tasks are rescheduled and retried, client future blocks until task succeedsdurabletask-go: panic is returned as error to the client right awayFor that reason, when operations are idempotent,
go-workflowseventually succeeds, whiledurabletask-gohas the compensatory code invoked and the client needs to retry.This is the behaviour I also expected in
durabletask-go, as per my review in #16. Perhaps retries need to be explicitly configured? 🤷🏻Follow ups
CheckKubeResourceactivity fails