linter for Postgres migrations
quick start | rules documentation | github action | diy github integration
Prevent unexpected downtime caused by database migrations and encourage best practices around Postgres schemas and SQL.
Also it seemed like a nice project to spend more time with Rust.
npm install -g squawk-cli
# or via PYPI
pip install squawk-cli
# or install binaries directly via the releases page
https://github.com/sbdchd/squawk/releases
❯ squawk example.sql
example.sql:2:1: warning: prefer-text-field
2 | --
3 | -- Create model Bar
4 | --
5 | CREATE TABLE "core_bar" (
6 | "id" serial NOT NULL PRIMARY KEY,
7 | "alpha" varchar(100) NOT NULL
8 | );
note: Changing the size of a varchar field requires an ACCESS EXCLUSIVE lock.
help: Use a text field with a check constraint.
example.sql:9:2: warning: require-concurrent-index-creation
9 |
10 | CREATE INDEX "field_name_idx" ON "table_name" ("field_name");
note: Creating an index blocks writes.
note: Create the index CONCURRENTLY.
example.sql:11:2: warning: disallowed-unique-constraint
11 |
12 | ALTER TABLE table_name ADD CONSTRAINT field_name_constraint UNIQUE (field_name);
note: Adding a UNIQUE constraint requires an ACCESS EXCLUSIVE lock which blocks reads.
help: Create an index CONCURRENTLY and create the constraint using the index.
squawk
Find problems in your SQL
USAGE:
squawk [FLAGS] [OPTIONS] [path]... [SUBCOMMAND]
FLAGS:
--assume-in-transaction
Assume that a transaction will wrap each SQL file when run by a migration tool
Use --no-assume-in-transaction to override this setting in any config file that exists
-h, --help
Prints help information
--list-rules
List all available rules
-V, --version
Prints version information
--verbose
Enable debug logging output
OPTIONS:
-c, --config <config-path>
Path to the squawk config file (.squawk.toml)
--dump-ast <ast-format>
Output AST in JSON [possible values: Raw, Parsed, Debug]
--exclude-path <excluded-path>...
Paths to exclude
For example: --exclude-path=005_user_ids.sql --exclude-path=009_account_emails.sql
--exclude-path='*user_ids.sql'
-e, --exclude <rule>...
Exclude specific warnings
For example: --exclude=require-concurrent-index-creation,ban-drop-database
--explain <rule>
Provide documentation on the given rule
--pg-version <pg-version>
Specify postgres version
For example: --pg-version=13.0
--reporter <reporter>
Style of error reporting [possible values: Tty, Gcc, Json]
--stdin-filepath <filepath>
Path to use in reporting for stdin
ARGS:
<path>...
Paths to search
SUBCOMMANDS:
help Prints this message or the help of the given subcommand(s)
upload-to-github Comment on a PR with Squawk's results
Individual rules can be disabled via the --exclude
flag
squawk --exclude=adding-field-with-default,disallowed-unique-constraint example.sql
Rules can also be disabled with a configuration file.
By default, Squawk will traverse up from the current directory to find a .squawk.toml
configuration file. You may specify a custom path with the -c
or --config
flag.
squawk --config=~/.squawk.toml example.sql
The --exclude
flag will always be prioritized over the configuration file.
Example .squawk.toml
excluded_rules = [
"require-concurrent-index-creation",
"require-concurrent-index-deletion",
]
See the Squawk website for documentation on each rule with examples and reasoning.
Squawk works as a CLI tool but can also create comments on GitHub Pull
Requests using the upload-to-github
subcommand.
Here's an example comment created by squawk
using the example.sql
in the repo:
See the "GitHub Integration" docs for more information.
Integrate Squawk into Git workflow with pre-commit. Add the following
to your project's .pre-commit-config.yaml
:
repos:
- repo: https://github.com/sbdchd/squawk
rev: v0.10.0
hooks:
- id: squawk
files: path/to/postres/migrations/written/in/sql
Note the files
parameter as it specifies the location of the files to be linted.
- https://github.com/yandex/zero-downtime-migrations
- https://github.com/tbicr/django-pg-zero-downtime-migrations
- https://github.com/3YOURMIND/django-migration-linter
- https://github.com/ankane/strong_migrations
- https://github.com/AdmTal/PostgreSQL-Query-Lock-Explainer
- https://github.com/stripe/pg-schema-diff
- https://github.com/kristiandupont/schemalint
- https://www.braintreepayments.com/blog/safe-operations-for-high-volume-postgresql/
- https://gocardless.com/blog/zero-downtime-postgres-migrations-the-hard-parts/
- https://www.citusdata.com/blog/2018/02/22/seven-tips-for-dealing-with-postgres-locks/
- https://realpython.com/create-django-index-without-downtime/#non-atomic-migrations
- https://dba.stackexchange.com/questions/158499/postgres-how-is-set-not-null-more-efficient-than-check-constraint
- https://www.postgresql.org/docs/10/sql-altertable.html#SQL-ALTERTABLE-NOTES
- https://www.postgresql.org/docs/current/explicit-locking.html
- https://benchling.engineering/move-fast-and-migrate-things-how-we-automated-migrations-in-postgres-d60aba0fc3d4
- https://medium.com/paypal-tech/postgresql-at-scale-database-schema-changes-without-downtime-20d3749ed680
cargo install
cargo run
./s/test
./s/lint
./s/fmt
... or with nix:
$ nix develop
[nix-shell]$ cargo run
[nix-shell]$ cargo insta review
[nix-shell]$ ./s/test
[nix-shell]$ ./s/lint
[nix-shell]$ ./s/fmt
When adding a new rule, the s/new-rule
script will create stubs for your rule in Rust and in Documentation site.
s/new-rule 'prefer big serial'
-
update the CHANGELOG.md and bump version in the cli
Cargo.toml
, ensure the lock file is updated, and updatepackage.json
and commit the changes# update version in Cargo.toml files and package.json to 4.5.3 s/update-version 4.5.3
-
create a new release on github - CI will attach the binaries automatically
-
wait for build artifacts to be attached to release.
-
login to
npm
and publish new version.npm login npm publish
The squawkhq.com Algolia index can be found on the crawler website. Algolia reindexes the site every day at 5:30 (UTC).
squawk wraps calls to libpg_query-sys in a safe interface and parses the JSON into easier to work with structures. libpg_query-sys in turn uses bindgen to bind to libpg_query, which itself wraps Postgres' SQL parser in a bit of C code that outputs the parsed AST into a JSON string.
Squawk then runs the rule functions over the parsed AST, gathers and pretty prints the rule violations.