Using Restish as a CLI
The pgEdge Control Plane can be used with a tool called Restish to get a CLI-like experience against the Control Plane's HTTP API. Restish is a generic, open-source REST client that turns any OpenAPI-described API into a set of generated commands, complete with shell completion and readable output.
Jump to what you're trying to do:
- Quickstart — install Restish and run your first command against a cluster.
- Managing Multiple Environments — one cluster isn't enough, or you want a persistent setup.
- Managing Database Configuration as Files — commit database specs to source control instead of typing JSON inline.
Quickstart
If you already have a Control Plane cluster running (see the installation quickstart if not), you can be running commands against it in three steps:
1. Installation
First, install Restish via Restish's official website. Restish supports many installation methods, including Homebrew (macOS), GitHub Releases, and OCI images; select the option that most aligns with your organization's preferences and practices.
2. Connection
Note
See Managing Multiple Environments if you need to connect to multiple Control Plane clusters from one machine.
Connect Restish to your cluster:
restish api connect pgedge http://localhost:3000
3. Verification
Then run your first command:
restish pgedge list-databases
That's enough to start experimenting — restish pgedge --help lists every
generated command, and once you have a database config file (see
Managing Database Configuration as Files
below), restish pgedge create-database < your-file.json creates one.
Managing Multiple Environments
Restish doesn't enforce any naming convention for the APIs you connect to.
We recommend using Restish's profiles feature: one API registration, pgedge, holds a profile per environment, and each profile can override the base URL (and, if you need it later, auth or other per-environment request details).
Use descriptive cluster names. Every cluster has an immutable id,
set at initialization and returned by get-cluster. init-cluster takes
an optional cluster_id query parameter. Setting it to something descriptive will allow you to keep track of multiple different clusters.
restish pgedge init-cluster --cluster-id production
Then select that cluster with a matching profile:
restish -p production pgedge list-databases
restish -p staging pgedge list-databases
Leave the default profile pointed at something safe. Restish falls
back to the default profile whenever you don't pass -p/--rsh-profile
or set RSH_PROFILE, so be sure to point default at your local or informal cluster.
restish pgedge list-databases # default profile: local/informal cluster
Note
A cluster is made up of multiple hosts, each with its own host ID
(e.g. host-1). Any of them can serve a request for the whole
cluster, which is why one base_url per environment is enough for
routine use — you don't need a profile per host. To target a specific
host directly (retrying against a different one, or comparing behavior
across hosts while debugging), give it its own profile the same way:
-p production-host-1.
Add a profile per environment to the same pgedge registration with
restish api set:
restish api set pgedge 'profiles.staging.base_url: https://host1.staging.internal:3000'
restish api set pgedge 'profiles.production.base_url: https://host1.prod.internal:3000'
Not every connection belongs on your everyday pgedge registration,
though. Anything that's per-machine (eg. a Lima VM IP that's different for
every developer, a personal sandbox) is better off registered under its
own name so it doesn't collide with your regular setup:
restish api connect pgedge-sandbox http://192.168.64.3:3000
If a cluster uses TLS with a private CA, pass --rsh-ca-cert with the CA
file so Restish trusts it; if discovery also fails for a connection set up
this way, add --spec with an explicit URL or local file:
restish api connect pgedge-sandbox https://192.168.64.3:3000 \
--rsh-ca-cert ./ca.crt \
--spec https://192.168.64.3:3000/v1/openapi.json
If the cluster also requires a client certificate for mTLS, see Connecting Over mTLS.
Either way you connect something, the same commands work afterward:
restish api list # every connection you've configured
restish api inspect pgedge-sandbox # the URL, profiles, and spec Restish resolved
restish api remove pgedge-sandbox # disconnect (personal connections only)
restish pgedge-sandbox --help # every generated command
restish pgedge-sandbox list-databases --help # options for one command
Restish also supports registering connections in a .restish.json project
config file so a whole team shares the same setup automatically. Restish
won't use a discovered project config until you review it and run
restish config trust; re-run that command after any change to the file.
See Restish's own docs on
project configuration.
Connecting Over mTLS
If a cluster has mTLS enabled, pass the CA certificate plus a client certificate and key when you connect:
restish api connect pgedge-sandbox https://192.168.64.3:3000 \
--rsh-ca-cert ./ca.crt \
--rsh-client-cert ./client.crt \
--rsh-client-key ./client.key
For a shared registration like pgedge, set the same paths per profile
with restish api set:
restish api set pgedge \
'profiles.production.ca_cert: /opt/pgedge/control-plane/ca.crt' \
'profiles.production.client_cert: /opt/pgedge/control-plane/client.crt' \
'profiles.production.client_key: /opt/pgedge/control-plane/client.key'
Managing Database Configuration as Files
Keep one file per database, and use it as the source of truth for that database's configuration:
mkdir -p databases
cat > databases/example.json <<'EOF'
{
"id": "example",
"spec": {
"database_name": "example",
"database_users": [
{
"username": "admin",
"db_owner": true,
"attributes": ["SUPERUSER", "LOGIN"]
}
],
"port": 5432,
"nodes": [
{ "name": "n1", "host_ids": ["host-1"] },
{ "name": "n2", "host_ids": ["host-2"] },
{ "name": "n3", "host_ids": ["host-3"] }
]
}
}
EOF
databases/example.json never contains a password, so it's safe to commit
right away. Creating a database still needs a real password the first
time, though, so pass that from a separate file you don't commit instead
of adding it to databases/example.json:
(
set -e
umask 077
tmpfile=$(mktemp)
trap 'rm -f "$tmpfile"' EXIT
read -rsp "Password: " DB_PASS; echo
jq --rawfile pw <(printf '%s' "$DB_PASS") \
'.spec.database_users[0].password = $pw' \
databases/example.json > "$tmpfile"
restish pgedge create-database < "$tmpfile"
)
read -rsp prompts for the password without echo, so it never appears in
your terminal output or shell history. jq reads the value from a file
descriptor (--rawfile pw <(printf '%s' "$DB_PASS")) rather than a
command-line argument, so the password never appears in the command text
or in the process list. umask 077 keeps the
tmpfile unreadable by anyone else on the machine while it exists, and the
subshell (...) limits the trap's scope: when create-database returns
(or fails), the subshell exits and the trap fires immediately, removing the
file before control returns to your interactive shell.
Update the same database by editing databases/example.json and
re-applying it against the update-database command. No password is
needed, since it's omitted from the request entirely:
restish pgedge update-database example < databases/example.json
To apply the same file to a specific environment instead of your default cluster, add the profile you set up in Managing Multiple Environments:
restish -p staging pgedge update-database example < databases/example.json
restish -p production pgedge update-database example < databases/example.json
This gives you a directory of database configuration files you can commit to source control, diff, review in a pull request, and re-apply — the same workflow you'd use for any other infrastructure-as-code.
Handling Secrets
Secret fields, such as database_users[].password or s3_key_secret,
should be excluded from any files committed to source control. The
Control Plane's update endpoint is built to make this easy: secret
fields are only required the first time
you create a database. On every update-database call after that, you can
leave them out entirely — the Control Plane keeps whatever value is
already stored unless you explicitly send a new one. See
Updating a Database for the full behavior.
In practice, that means the default workflow is the one shown above: keep
databases/example.json secret-free from the start, and pass real secret
values only from a separate, uncommitted tmpfile for the one
create-database call that needs them — prompted interactively with echo
disabled (so the value never enters shell history), injected via jq at
runtime, and written to a file created with a restrictive umask inside a
subshell so it's removed as soon as create-database returns (even if it
fails). From then on, update-database runs against the secret-free file
as-is. If you need to rotate a password, apply it the same way: read -rsp
for the new value, jq to inject it, passed once.
This keeps databases/example.json safe to read, diff, and share at any
point — it's never the file that held the credential, so there's no window
where committing it (or git add -A, or a stray backup) could leak one.
Tip
The Control Plane excludes every secret field from its responses, you can skip manual redaction entirely: create the database from a one-off request that includes all of its secrets, then pull the sanitized spec back into your file:
(
set -e
set -o pipefail
tmpfile=$(mktemp)
trap 'rm -f "$tmpfile"' EXIT
restish pgedge get-database example | jq '{ id, spec }' > "$tmpfile"
mv "$tmpfile" databases/example.json
)
The redirect writes to a tmpfile first; databases/example.json is
replaced only after get-database and jq both succeed (set -e
plus pipefail), and the mv swaps it in atomically.