README.md

Many tricky table configurations -- for example, logged tables and partitioned tables -- would seem to be amenable to mechanical derivation. The SQL standard provides for fairly rich introspection capabilities -- on par with any object oriented language -- so it stands to reason that we should be able to use metaprogramming to derive advanced table configurations mechanically.

The meta schema in meta.sql should be loaded before loading the others. To load all the schemas together, run \i macaroon.psql at the psql prompt.

Creating Tables for Auditing & Versioning

Imagine that your application has tables in the app namespace; and you'd like to log past row versions and metadata about changes to the state and events schemas, respectively. You can idempotently configure both audit and version stracking by SELECTing tables in the app namespace that are not already tracked and passing them to the setup functions:

SELECT tab,
       temporal.temporal(tab, 'state'),
       audit.audit(tab, 'events')
  FROM pg_tables,
       LATERAL (SELECT (schemaname||'.'||tablename)::regclass AS tab)
            AS casted_to_regclass
 WHERE schemaname = 'app'
   AND tab NOT IN (SELECT logged FROM temporal.logged
                    UNION
                   SELECT audited FROM audit.audited);

      tab      │    temporal     │      audit
───────────────┼─────────────────┼──────────────────
 app.user_info │ state.user_info │ events.user_info
 app.telephone │ state.telephone │ events.telephone
 app.cpu       │ state.cpu       │ events.cpu
 ...           │ ...             │ ...

Using The Auditing & Versioning Tables

The audit and temporal tables for each table that is tracked can be joined on the txid column to see all the actions that took place during a particular transaction.

A Note About Migrations

The audit tables are indifferent to migrations -- they do not store any row data.

The temporal tables store JSONB, so they're also indifferent to migrations.