pgsesame
Declarative permission management for PostgreSQL and Amazon Redshift. Define roles, users, grants and ownership in YAML, then plan and apply changes like Terraform.
Status: 0.1, alpha.
validate,plan,applyand change sets work for roles, users, groups, memberships and privileges on PostgreSQL and Redshift, tested against PostgreSQL 14 to 18, oblako's redshift-local and Redshift Serverless, on Python 3.10 to 3.13. Ownership (owns) and default privileges are validated but not yet planned; see the roadmap.
Why
Granting access by hand leaves a trail of GRANT statements nobody can review.
pgsesame keeps the intended state in one file: changes go through pull requests,
sesame plan shows exactly which statements a change needs, and sesame apply
runs them. A second plan after apply is empty.
It is built on what went wrong with earlier tools (redtape for Redshift, pgbedrock for PostgreSQL): it reads the real catalog without crashing on what it doesn't model, issues only the difference instead of every grant on every run, and plans revokes and drops but applies them only when you ask.
Where it runs
PostgreSQL 14 to 18 and Amazon Redshift (provisioned or Serverless). PostgreSQL
services work through the same connection: Supabase, Google's AlloyDB, Amazon RDS
and Aurora, Cloud SQL, Neon; connect as the platform's admin role. Referring to a
platform's built-in roles (authenticated, alloydbsuperuser, ...) without
managing them, and Supabase's row-level security policies, are on the
roadmap.
Install
uv tool install pgsesame # installs the `sesame` command
uv tool install "pgsesame[redshift]" # adds IAM credentials and the Data API for Redshift
uvx pgsesame --help # or try it without installing
pip install pgsesame # or into an environment
In CI without Python, use the image (amd64 and arm64):
docker run --rm -v "$PWD:/work" -e SESAME_DSN ghcr.io/almostly/pgsesame plan permissions.yaml
pgsesame connects the way you already do: a DSN or the standard PG* variables
with a password (PostgreSQL and Redshift), temporary credentials from IAM for a
Redshift cluster or Serverless workgroup, or the Redshift Data API when the
database isn't reachable over the network.
A spec
version: 1
engine: redshift # or postgres
principals:
reader:
type: role
privileges:
schemas:
usage: [analytics]
tables:
select: [analytics.*]
alice:
type: user
password_env: ALICE_PASSWORD
member_of: [reader]
sesame validate permissions.yaml
sesame plan permissions.yaml # exit code 2 when there are changes
sesame apply permissions.yaml # revokes and drops need --allow-revoke / --allow-drop
sesame plan permissions.yaml -o changes.json # save the plan as a change set
sesame show changes.json # review it, no database needed
sesame apply changes.json # run exactly that, or refuse if it's stale
Passwords never go in the spec: name an environment variable with password_env,
use IAM, or set password: disabled.
A first plan creates the roles and grants the spec declares:
Later, two grants someone made by hand show up as drift; they are revoked only
with --allow-revoke:
A saved change set can be reviewed without a database, then applied exactly:
In GitHub Actions
Review the plan on the pull request; apply the reviewed change set on merge. The
connection comes from a secret (SESAME_DSN), and the production environment
can require a reviewer's approval before apply runs.
on:
pull_request:
push:
branches: [main]
jobs:
plan:
runs-on: ubuntu-latest
permissions: {contents: read, pull-requests: write}
env: {SESAME_DSN: "${{ secrets.SESAME_DSN }}"}
steps:
- uses: actions/checkout@v4
- uses: almostly/pgsesame@v0.1.1
with: {command: plan, spec: permissions.yaml}
apply:
if: github.event_name == 'push'
needs: plan
runs-on: ubuntu-latest
environment: production
env: {SESAME_DSN: "${{ secrets.SESAME_DSN }}"}
steps:
- uses: almostly/pgsesame@v0.1.1
with: {command: apply}
On a pull request the plan is posted as one comment, updated on each push. On
merge, apply runs exactly the change set the plan job saved, or refuses if the
database changed since. Revokes need allow-revoke: true. The step's outputs
(has-changes, to-add, to-change, to-remove) can drive other steps. For
Redshift with IAM, sign in with aws-actions/configure-aws-credentials and pass
args: --iam --workgroup analytics.
Outside GitHub, run uvx pgsesame or the image
(docker run --rm -v "$PWD:/work" -e SESAME_DSN ghcr.io/almostly/pgsesame plan permissions.yaml); plan exits 2 when it has changes.
Testing locally
The integration tests run against PostgreSQL in Docker and against oblako's local Redshift, so a spec can be planned and applied in CI before it touches a real cluster.
License
Apache-2.0
Metadata
Release files for pgsesame 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pgsesame-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 547.3 kB
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