pg-ephemeral 0.0.3

Ephemeral PostgreSQL instances for testing
Documentation

pg-ephemeral - Ephemeral PostgreSQL for Testing

Status: Pre-1.0 - exists to serve mbj/mrs monorepo, expect breaking changes without notice.

Spin up throwaway PostgreSQL containers for development and testing. Supports Docker and Podman with automatic backend detection.

Quick Start

# Launch psql against an ephemeral database (default command)
pg-ephemeral

# Run a command with PG* environment variables set
pg-ephemeral run-env -- pytest

# Run an interactive shell on the container
pg-ephemeral container-shell

Without a config file pg-ephemeral creates a single main instance using the latest supported PostgreSQL image on the auto-detected container backend.

Configuration

Place a database.toml in the working directory (or pass --config-file <path>). File paths in the config are resolved relative to the config file's location, not the process working directory. This means tests can be run from any subdirectory without changing the paths in database.toml.

image = "17.1"

[instances.main.seeds.a-schema]
type = "sql-file"
path = "schema.sql"

[instances.main.seeds.b-data]
type = "script"
script = "psql -c \"INSERT INTO users (name) VALUES ('alice'), ('bob')\""

[instances.main.seeds.c-indexes]
type = "sql-file"
path = "indexes.sql"

[instances.main.seeds.d-dynamic]
type = "command"
command = "sh"
arguments = ["-c", "psql -c \"INSERT INTO users (name) VALUES ('dynamic-$RANDOM')\""]
cache = { type = "none" }

Top-level fields

Field Description
image PostgreSQL version / image tag (e.g. "17.1")
backend "docker", "podman", or omit for auto-detection
ssl_config SSL configuration with hostname field
wait_available_timeout How long to wait for PostgreSQL to accept connections (e.g. "30s")

Seed types

Seeds run in declaration order inside the container. Each seed has a type:

Type Fields Description
sql-file path, optional git_revision Apply a SQL file. With git_revision, reads the file from that git commit. path is resolved relative to the config file's directory.
script script Run a shell script with sh -e -c.
command command, arguments, cache Run an arbitrary command. If command is a relative path (contains /), it is resolved relative to the config file's directory; bare names like psql are looked up via PATH.

Multiple instances

Define multiple named instances under [instances.<name>]. Top-level fields serve as defaults for all instances. Use --instance <name> on the CLI to target a specific one.

Seed Caching

pg-ephemeral caches seed results as container images so repeated runs skip already-applied seeds. Each seed's cache key is a SHA-256 chain of:

  • pg-ephemeral version
  • base image
  • SSL configuration
  • all preceding seeds' content

When the cache key matches an existing image the seed is a hit and the container boots from that image directly. Seeds are cached in order; an uncacheable seed (e.g. cache = { type = "none" }) breaks the chain and all subsequent seeds run without caching.

Cache commands

# Show cache status for all seeds
pg-ephemeral cache status

# JSON output with full details (references, etc.)
pg-ephemeral cache status --json

# Pre-populate the cache without running an interactive session
pg-ephemeral cache populate

# Remove cached images
pg-ephemeral cache reset

# Force-remove cached images (even if referenced by stopped containers)
pg-ephemeral cache reset --force

Command cache strategies

For command type seeds, the cache field controls how the cache key is computed:

Strategy Description
{ type = "command-hash" } Hash the command and arguments (default).
{ type = "key-command", command = "...", arguments = [...] } Run a separate command whose stdout is hashed as the cache key.
{ type = "key-script", script = "..." } Run a script whose stdout is hashed as the cache key.
{ type = "none" } Disable caching. Breaks the cache chain for this and all subsequent seeds.

Rust Library

pg-ephemeral can be used as a Rust library for integration tests or any code that needs a throwaway PostgreSQL instance.

Basic usage

async fn example() {
    let backend = ociman::backend::resolve::auto().await.unwrap();

    let definition = pg_ephemeral::Definition::new(
        backend,
        pg_ephemeral::Image::default(),
        "test".parse().unwrap(),
    )
    .apply_file(
        "schema".parse().unwrap(),
        "schema.sql".into(),
    )
    .unwrap()
    .apply_script(
        "seed-data".parse().unwrap(),
        r#"psql -c "INSERT INTO users (name) VALUES ('alice')""#,
    )
    .unwrap();

    definition
        .with_container(async |container| {
            container
                .with_connection(async |conn| {
                    let row: (i64,) = sqlx::query_as("SELECT count(*) FROM users")
                        .fetch_one(&mut *conn)
                        .await
                        .unwrap();
                    assert_eq!(row.0, 1);
                })
                .await;
        })
        .await
        .unwrap();
}

with_container handles the full lifecycle: populate the seed cache, boot a container (from the latest cache hit if available), apply any remaining uncached seeds, run the closure, and stop the container.

Seed types

Seeds are added to a Definition via builder methods:

# async fn example() {
# let backend = ociman::backend::resolve::auto().await.unwrap();
let definition = pg_ephemeral::Definition::new(
    backend,
    pg_ephemeral::Image::default(),
    "test".parse().unwrap(),
)
// Apply a SQL file from disk
.apply_file("schema".parse().unwrap(), "schema.sql".into())
.unwrap()
// Apply a SQL file from a specific git revision
.apply_file_from_git_revision(
    "baseline".parse().unwrap(),
    "schema.sql".into(),
    "abc1234",
)
.unwrap()
// Run an inline shell script
.apply_script(
    "seed-data".parse().unwrap(),
    r#"psql -c "INSERT INTO users (name) VALUES ('alice')""#,
)
.unwrap()
// Run an arbitrary command with explicit cache strategy
.apply_command(
    "migrations".parse().unwrap(),
    pg_ephemeral::Command::new("migrate", ["up"]),
    pg_ephemeral::CommandCacheConfig::CommandHash,
)
.unwrap();
# }

Configuration

The Definition builder supports additional options:

# async fn example() {
# let backend = ociman::backend::resolve::auto().await.unwrap();
let definition = pg_ephemeral::Definition::new(
    backend,
    "17.1".parse().unwrap(),
    "test".parse().unwrap(),
)
// Extend the timeout for slow CI environments
.wait_available_timeout(std::time::Duration::from_secs(30))
// Enable cross-container access (for testing from other containers)
.cross_container_access(true)
// Enable SSL with a generated certificate
.ssl_config(pg_ephemeral::definition::SslConfig::Generated {
    hostname: "localhost".parse().unwrap(),
});
# }

Accessing connection details

Inside with_container, the Container provides several ways to connect:

# async fn example() {
# let backend = ociman::backend::resolve::auto().await.unwrap();
# let definition = pg_ephemeral::Definition::new(
#     backend, pg_ephemeral::Image::default(), "test".parse().unwrap(),
# );
definition
    .with_container(async |container| {
        // Direct sqlx connection
        container
            .with_connection(async |conn| {
                sqlx::query("SELECT 1").execute(&mut *conn).await.unwrap();
            })
            .await;

        // Get pg_client::Config for custom connection setup
        let _config = container.client_config();

        // Get libpq-style environment variables (PGHOST, PGPORT, etc.)
        let _env = container.pg_env();

        // Get DATABASE_URL string
        let _url = container.database_url();
    })
    .await
    .unwrap();
# }

Language Integrations

Ruby

The pg-ephemeral Ruby gem bundles the binary and provides a native API:

# Yields a PG::Connection to an ephemeral database
PgEphemeral.with_connection do |conn|
  conn.exec("SELECT 1")
end

# Or get the server URL for manual connection management
PgEphemeral.with_server do |server|
  puts server.url  # => "postgres://postgres:...@127.0.0.1:54321/postgres"
end

The gem is available for x86_64-linux, aarch64-linux, and arm64-darwin.

See integrations/ruby for details.

Other Languages

Any language can integrate via run-env or the integration server protocol:

Environment variables — run a command with PG* and DATABASE_URL set:

pg-ephemeral run-env -- python manage.py test
pg-ephemeral run-env -- npx prisma migrate deploy

Integration server — for programmatic control over the container lifecycle:

pg-ephemeral integration-server --result-fd 3 --control-fd 4

Boots a container, writes a JSON line with connection details to the result pipe FD, then waits for EOF on the control pipe FD before shutting down. The parent process creates the pipes and passes the inherited file descriptors. Close the control pipe write end to stop the server.

CLI Reference

pg-ephemeral [OPTIONS] [COMMAND]

Commands:
  psql                 Run interactive psql on the host (default)
  run-env              Run a command with PG* and DATABASE_URL environment variables
  container-psql       Run interactive psql inside the container
  container-shell      Run interactive shell inside the container
  container-schema-dump  Dump schema from the container
  cache                Cache management (status, populate, reset)
  integration-server   Run integration server (pipe-based control protocol)
  list                 List defined instances
  platform             Platform support checks

Options:
  --config-file <PATH>   Config file path (default: database.toml)
  --no-config-file       Use defaults, ignore any config file
  --backend <BACKEND>    Override backend (docker, podman)
  --image <IMAGE>        Override PostgreSQL image
  --ssl-hostname <HOST>  Enable SSL with the specified hostname
  --instance <NAME>      Target instance (default: main)

Requirements

  • Docker Engine 20.10+ / Docker Desktop 4.34+, or Podman 5.3+
  • PostgreSQL client tools (psql) for host-side commands

Release Build Configuration

Release builds use split-debuginfo = "packed" to separate debug information from the binary:

  • Linux: Debug info stored in .dwp file alongside the binary
  • macOS: Debug info stored in .dSYM bundle alongside the binary

This provides smaller binaries while preserving full backtraces with file paths and line numbers.