graphql-engine/docs/graphql/core/deployment/deployment-guides/digital-ocean-one-click.rst

.. meta::
   :description: Deploy Hasura GraphQL engine One-click App on DigitalOcean Marketplace
   :keywords: hasura, docs, guide, deployment, digital ocean, marketplace

.. _deploy_do_marketplace:

Hasura GraphQL engine One-click App on DigitalOcean Marketplace
===============================================================

.. contents:: Table of contents
  :backlinks: none
  :depth: 1
  :local:

Introduction
------------

The Hasura GraphQL engine is available as a One-click app on the DigitalOcean
Marketplace. It is packed with a `Postgres <https://www.postgresql.org/>`__
database and `Caddy <https://caddyserver.com/>`__ webserver for easy and
automatic HTTPS using `Let's Encrypt <https://letsencrypt.org/>`__.

Deploying Hasura on Digital Ocean
---------------------------------

Step 1: Create a Hasura One-click Droplet
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Click the button below to create a new Hasura GraphQL engine Droplet through
the DigitalOcean Marketplace. For first time users, the link also contains a
referral code with gives you $100 over days. A $5 droplet is good enough to
support most workloads. (``Ctrl+Click`` to open in a new tab)

.. image:: https://graphql-engine-cdn.hasura.io/img/create_hasura_droplet.png
   :width: 300px
   :alt: do_create_droplet_button
   :class: no-shadow
   :target: https://marketplace.digitalocean.com/apps/hasura?action=deploy&refcode=c4d9092d2c48&utm_source=hasura&utm_campaign=docs

Step 2: Open console
^^^^^^^^^^^^^^^^^^^^

Once the Hasura GraphQL engine Droplet is ready, you can visit the Droplet IP to
open the Hasura console, where you can create tables, explore GraphQL APIs etc.
Note that it might take 1 or 2 minutes for everything to start running.

The ``Droplet IP`` is highlighted in the image below:

.. thumbnail:: /img/graphql/core/deployment/dashboard-digital-ocean.png
   :alt: Dashboard for digital ocean droplet

The Hasura console will be at:

.. code-block:: bash

   http://<your_droplet_ip>/console

The GraphQL endpoint will be:

.. code-block:: bash

   http://<your_droplet_ip>/v1/graphql


A Postgres database is also provisioned on the Droplet. Using the console, you
can create a table on this Postgres instance and make your first GraphQL query.

.. thumbnail:: /img/graphql/core/deployment/digital-ocean-hasura-console.png
   :alt: Hasura console

Step 3: Create a table
^^^^^^^^^^^^^^^^^^^^^^

Navigate to ``Data -> Add table`` on the console and create a table called ``profile`` with the following columns:

``profile``

===============  ========
 column name      type
===============  ========
``id``             Integer (auto-increment)
``name``           Text
===============  ========

Choose ``id`` as the Primary key and click the ``Add Table`` button.

.. thumbnail:: /img/graphql/core/deployment/digital-ocean-create-table.png
   :alt: Create a table   

Step 4: Insert sample data
^^^^^^^^^^^^^^^^^^^^^^^^^^

Once the table is created, go to the ``Insert Row`` tab and insert some sample rows:

.. code-block:: bash

   Thor
   Iron Man
   Hulk
   Captain America
   Black Widow

.. thumbnail:: /img/graphql/core/deployment/digital-ocean-hasura-insert-data.png
   :alt: Hasura console - insert data

Step 5: Try out GraphQL
^^^^^^^^^^^^^^^^^^^^^^^

Switch to the ``GraphiQL`` tab on top and execute the following GraphQL query:

.. code-block:: graphql

   query {
     profile {
       id
       name
     }
   }

.. thumbnail:: /img/graphql/core/deployment/hasura-graphql-query.png
   :alt: Hasura console - GraphiQL


.. _digital_ocean_secure:

Securing the GraphQL endpoint
-----------------------------

By default Hasura is exposed without any admin secret. Anyone can read and write
to your database using GraphQL. When deploying to production, you should secure
the endpoint by adding an admin secret key and then setting up permission rules on
tables.

To add an admin secret key, follow the steps described below:

Step 1: Connect to the Droplet via SSH
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   ssh root@<your_droplet_ip>


Step 2: Go to the ``/etc/hasura`` directory
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   cd /etc/hasura


Step 3: Set an admin secret
^^^^^^^^^^^^^^^^^^^^^^^^^^^

Edit ``docker-compose.yaml`` and un-comment the line that mentions admin secret key. 
Also change it to some unique secret:

.. code-block:: bash

   vim docker-compose.yaml

   ...
   # un-comment next line to add an admin secret key
   HASURA_GRAPHQL_ADMIN_SECRET: <myadminsecretkey>
   ...

   # type ESC followed by :wq to save and quit


Step 4: Update the container
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   docker-compose up -d

That's it. Visit the console at ``http://<your_droplet_ip>/console`` and it should
prompt for the admin secret key. Further API requests can be made by adding the
following header:

.. code-block:: bash

   X-Hasura-Admin-Secret: <myadminsecretkey>


Adding a domain & enabling HTTPS
--------------------------------

If you own a domain, you can enable HTTPS on this Droplet by mapping the domain
to the Droplet's IP. The Hasura GraphQL Droplet is configured with Caddy which is an
HTTP/2 web server with automatic HTTPS using Let's Encrypt.

Step 1: Add a record mapping
^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 

Go to your domain's DNS dashboard and add an A record mapping the domain to the Droplet IP.

Step 2: Connect to the Droplet via SSH
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   ssh root@<your_droplet_ip>


Step 3: Go to the ``/etc/hasura`` directory
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   cd /etc/hasura


Step 4: Edit the ``Caddyfile`` and change ``:80`` to your domain
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   vim Caddyfile

   ...
   add_your-domain-here {
      reverse_proxy / graphql-engine:8080
   }
   ...

   # type ESC followed by :wq to save and quit


Step 5: Restart the container
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   docker-compose restart caddy


Go to ``https://<your_domain>/console`` to visit the Hasura console.

.. _do_updating:

Updating to the latest version
------------------------------

When a new version of the GraphQL engine is released, you can upgrade to it by just
changing the version tag in ``docker-compose.yaml``. You can find the latest
releases on the `GitHub releases page
<https://github.com/hasura/graphql-engine/releases>`__.

Step 1: Connect to the Droplet via SSH
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   ssh root@<your_droplet_ip>


Step 2: Go to the ``/etc/hasura`` directory
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   cd /etc/hasura


Step 3: Edit ``docker-compose.yaml`` and change the image tag to the latest one
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   vim docker-compose.yaml

   ...
   graphql-engine:
      image: hasura/graphql-engine:latest_tag_here
   ...

   # type ESC followed by :wq to save and quit


Step 4: Restart the container
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   docker-compose up -d

.. _do_managed_pg_db:

Using DigitalOcean Managed Postgres Database
--------------------------------------------

Step 1: Create a Postgres database 
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Create a new Postgres database from the DigitalOcean console, preferably in the same region as the Droplet.

Step 2: Get the database URL
^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Once the database is created, under the "Overview" tab, from the "Connection Details" section, choose "Connection string" from the dropdown.
"Connection string" is the "Database URL". Copy it.

Step 3: Connect to the Droplet via SSH
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   ssh root@<your_droplet_ip>


Step 4: Go to the ``/etc/hasura`` directory
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   cd /etc/hasura

Step 5: Edit ``docker-compose.yaml`` and change the database URL
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   vim docker-compose.yaml

   ...
   # change the url to use a different database
   HASURA_GRAPHQL_DATABASE_URL: <database-url>
   ...

   # type ESC followed by :wq to save and quit

Similarly, the database URL can be changed to connect to any other Postgres
database.

.. note::

  If you're using Hasura with a restricted database user, make sure you go
  through :ref:`Postgres permissions <postgres_permissions>`
  to configure all required permissions (not applicable with the default
  connection string with DO Managed Postgres).

Connection pooling
~~~~~~~~~~~~~~~~~~
Connection pooling is a built-in feature of graphql-engine. The default connection pool size is 50.
If you need to configure the pool size or the timeout, you can use the below environment variables.

- ``HASURA_GRAPHQL_PG_CONNECTIONS``: Maximum number of Postgres connections that can be opened per stripe (default: 50). 
- ``HASURA_GRAPHQL_PG_TIMEOUT``: Each connection’s idle time before it is closed (default: 180 sec)

.. note::

  If you still want to enable connection pooling on your managed database on DigitalOcean, you should do so in the ``session`` mode.

.. _digital_ocean_connect_psql:

Access database via psql
------------------------

To access the Postgres database via ``psql``, you can use the following command
via the terminal:

.. code-block:: bash

   docker exec -it hasura_postgres_1 psql -U postgres

If you are using a hosted database :ref:`as outlined above <do_managed_pg_db>`, it's a little different:

.. code-block:: bash

   docker exec -it hasura_postgres_1 psql -h <your database url> -p <your port> -d <your database> -U <your database user>

.. note::

  Different hosted Postgres providers may have different requirements for connection, e.g. setting ``sslmode``.
  Please refer to your provider's documentation for generating the proper ``psql`` command flags.

.. _do_logs:

Logs
----

Step 1: Connect to the Droplet via SSH
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   ssh root@<your_droplet_ip>


Step 2: Go to the ``/etc/hasura`` directory
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

.. code-block:: bash

   cd /etc/hasura

Step 3: Check logs
^^^^^^^^^^^^^^^^^^

To checks logs for any container, use the following command:

.. code-block:: bash

   docker-compose logs <container_name>

Where ``<container_name>`` is one of ``graphql-engine``, ``postgres`` or
``caddy``.


Troubleshooting
---------------

Logs should be able to help you in most scenarios. If it doesn't, feel free to
talk to us on `Discord <https://discord.gg/hasura>`__.