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```shell
docker ps --filter name='pgadmin'
``` | [
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0.9520745873451233,
0.696566641330719,
-1.0033257007598877,
0.30888038873672485,
0.01829920895397663,
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0.8106446862220764,
1.153498888015747,
0.362947016954422,
0.11419067531824112,
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0.09981918334960938,
1.0119293928146362,
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0.46324747800827026,
1.1152212619781494,
-1.4160212278366089,
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0.33514612913131714,
0.46364066004753113,
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0.4119379222393036,
0.79982990026474,
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0.005236262455582619,
0.03310317173600197,
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0.15832273662090302,
0.42104780673980713,
0.43783652782440186,
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0.22760677337646484,
0.36877012252807617,
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0.3736773431301117,
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1.048547387123108,
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0.6576639413833618,
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0.2937658131122589,
-1.064822793006897,
0.06550116091966629,
0.6771665215492249,
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0.09050817042589188,
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0.4471985995769501,
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0.8641231060028076,
0.8286218047142029,
0.14531704783439636,
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0.4934954345226288,
0.5061858892440796,
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0.37963631749153137,
0.35788846015930176,
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0.4251680374145508,
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0.2585694193840027,
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-0.01108938455581665,
0.07258279621601105,
-0.6050062775611877,
-0.5273098945617676
] |
1. The above command should produce something like the below. In this example, the port we are interested in is the port exposed on our localhost (`127.0.0.1`), this port is `5432`. | [
-1.0664058923721313,
-0.4564237892627716,
0.5870225429534912,
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0.06766319274902344,
0.1993444263935089,
0.19313307106494904,
0.899328351020813,
1.0626837015151978,
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0.09572385251522064,
0.19017279148101807,
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0.17405515909194946,
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0.3610267639160156,
0.09626651555299759,
1.3747351169586182,
0.6316530704498291,
0.5345456600189209,
0.8314372301101685,
0.4956018328666687,
0.013537123799324036,
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0.37257614731788635,
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0.1799856722354889,
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0.4225223958492279,
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```shell
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
465897401a96 dpage/pgadmin4 "/entrypoint.sh" 2 hours ago Up 2 hours 443/tcp, 127.0.0.1:16543->80/tcp speckle-server-pgadmin-1
``` | [
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1. Open the [pgAdmin dashboard](http://127.0.0.1:16543/) in your browser. If you have changed the configuration of pgAdmin, you can find how to access it by running `docker ps --filter name='pgadmin'` and making a note of the host and port it is being served on. | [
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1. The user name and password can be found next to `PGADMIN_DEFAULT_EMAIL` and `PGADMIN_DEFAULT_PASSWORD` in your configuration file for pgAdmin.
- The default values we provided in our `docker-compose-pgadmin.yml` file are `admin@localhost.com` and the password `admin`. | [
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1. In the dialog box in the `General` tab, enter the name `docker-compose`.
1. In the dialog box in the `Connection` tab:
- for the `Host name/addresses` enter the name of the Postgres container, in our example it is `speckle-server-postgres-1`
- the name of the Postgres container can be found with `docker ps --filter name='postgres'`
- for `port`, use `5432` (or the value discovered when running `docker ps --filter name='postgres'`, see instructions above).
- for `database`, `username`, and `password` use the values in your configuration assigned to the respective `POSTGRES_DB`, `POSTGRES_USER`, and `POSTGRES_PASSWORD` keys. If installed with Speckle's manual installation, by default the value of these are all `speckle`.
1. (optional) For some databases, but not the default database provided by Speckle, you may also have to provide a Certificate.
1. Copy this certificate into the pgadmin container with `docker cp ./local/path/to/my/certificate.crt speckle-server-pgadmin-1:/var/lib/pgadmin/storage/admin_localhost.com/` (assuming the default pgadmin user is `admin@localhost.com` and `speckle-server-pgadmin-1` is the name of the pgAdmin container.)
1. In the dialog box in the `SSL` tab, select the certificate within the `Root Certificate` input. | [
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1. You can now select the database from the browser window (typically found on the left hand side). Expand `docker-compose` and `databases` to select your database. The default database name for Speckle is `speckle`. | [
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1. Once you have found the database in pgAdmin, right-click the database name and select `backup`. | [
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1. In the `options` tab, select the options `Include CREATE DATABASE statement` and `Include DROP DATABASE statement`. | [
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1. Then start the backup process. This will generate a backup that is stored in the container's volume. | [
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] |
1. Once the backup is prepared, we now need to save the file to your local machine.
- If a `Click to open file location` button is displayed (this may depend on the version of pgAdmin running), click on it and download the backup to your machine.
- If a button is not displayed, you can copy the file from the container to your machine by user docker. Replace `speckle-server-pgadmin-1` with the name of your pgAdmin container and `BACKUP_FILE_NAME` with the file name you provided in the pgAdmin dialog. | [
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] |
```shell
docker cp speckle-server-pgadmin-1:'/var/lib/pgadmin/storage/admin_localhost.com/BACKUP_FILE_NAME' .
``` | [
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- If connected via SSH to a DigitalOcean or other virtual or remote machine, you will have to undertake further steps to move the file from the host machine to either your local machine or storage location of your choice. DigitalOcean [suggest using `scp`](https://www.digitalocean.com/community/questions/how-to-copy-files-from-one-server-to-another-droplet). | [
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1. We recommend testing the integrity of the backup at this time. One way of doing this is to install speckle-server on another machine (or modify the name and ports in the file and install a second locally), then upload the backup per the below instructions using pgAdmin. Use pgAdmin or Speckle to check that the information is present.
1. Store the backup in a safe and secure location. You may wish to copy the backup to multiple secure locations to provide redundancy. | [
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] |
As well as creating a Postgres backup, we also recommend a full Docker volume backup. The Docker volume backup can only be used with the current version of Postgres, so is more limited than the Postgres backup created via pgAdmin (the latter allows us to move data between different versions of Postgres, which is useful when upgrading). Generating an additional backup from the Docker volume provides us with additional confidence that we can
recover to a previous good working state. | [
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] |
```shell
docker volume ls --filter name='postgres'
``` | [
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] |
1. Follow the instructions on backing up a Docker Volume in [Docker's Documentation](https://docs.docker.com/storage/volumes/#backup-restore-or-migrate-data-volumes)
1. Store the backup in a safe and secure location. You may wish to copy the backup to multiple secure locations to provide redundancy. | [
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If you are not upgrading the Postgres database, you can stop at this step. The following instructions relate only to the event of a major version upgrade of Postgres. | [
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] |
1. Determine the name of the Docker container that is running your Postgres database, and the version of Postgres. | [
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] |
```shell
docker ps --filter name='postgres'
``` | [
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] |
1. If successful, the above will print out something similar to the below. In our example the name is `speckle-server-postgres-1` and the image version `13-alpine`. | [
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```shell
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
510e024a4700 postgres:13-alpine "docker-entrypoint.s…" 2 hours ago Up 2 hours 127.0.0.1:5432->5432/tcp speckle-server-postgres-1
``` | [
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1. ⚠️ **CAUTION** This step will cause Speckle, and any other application relying on the database, to stop working until the database is restored. You may wish to notify users of your Speckle server about the disruption to Speckle before proceeding with this and the following steps. Stop your Postgres database with the following command, replacing `speckle-server-postgres-1` with the name of your container. | [
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] |
```shell
docker stop speckle-server-postgres-1
``` | [
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1. Remove the container from docker, this detaches it from its volume and allows the volume to be deleted. Replace `speckle-server-postgres-1` with the name of your container. | [
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] |
```shell
docker rm speckle-server-postgres-1
``` | [
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] |
```shell
docker volume ls --filter name='postgres'
``` | [
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1. During upgrades we recommend undertaking a Docker volume backup. This allows us to restore to the previous version if the upgrade was unsuccessful. See the instructions for undertaking a Docker volume backup in the section above. | [
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1. ⚠️ **CAUTION** This step is destructive and cannot be undone, please ensure that the backup is correct and saved securely before proceeding - see instructions above. Delete the volume storing your Postgres database, replacing `speckle-server_postgres-data` with the name of your Postgres volume. | [
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] |
```shell
docker volume rm speckle-server_postgres-data
``` | [
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1. Using `git`, clone the Speckle Server repository. More details instructions are available in GitHub's documentation. | [
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] |
```shell
git clone https://github.com/specklesystems/speckle-server.git
``` | [
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] |
```shell
cd speckle-server
``` | [
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1. Check out the version of Speckle Server you wish to deploy. For example, using `git` on the command line to checkout a tagged version - in this case Speckle Server version `2.9.0` (please change to the [latest released version](https://github.com/specklesystems/speckle-server/releases), or the version you wish to deploy): | [
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```shell
git checkout tags/2.9.0 -b main
``` | [
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1. Deploy the docker-compose file with the updated Postgres version: | [
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] |
```shell
docker compose -f ./docker-compose-deps.yml up --detach
``` | [
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```shell
docker ps
``` | [
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1. If connected via SSH to a DigitalOcean or other virtual or remote machine, you will have to undertake steps to move the file your local machine or storage location to the host machine (Droplet). DigitalOcean [suggest using `scp`](https://www.digitalocean.com/community/questions/how-to-copy-files-from-one-server-to-another-droplet).
1. Copy the file from the host machine to the pgAdmin container by user Docker. Replace `speckle-server-pgadmin-1` with the name of your pgAdmin container and `BACKUP_FILE_NAME` with the file name you provided in the pgAdmin dialog. | [
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] |
```shell
docker cp BACKUP_FILE_NAME speckle-server-pgadmin-1:'/var/lib/pgadmin/storage/admin_localhost.com/'
``` | [
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] |
1. Connect to pgAdmin using the instructions above.
1. Connect pgAdmin to the server using the instructions above.
1. Right-click `databases` from the browser window, and click `create`. The name of the database should be `speckle`.
1. Right-click the created database and click `restore`, selecting your previously stored backup. You will need to upload the backup you previously downloaded back into pgAdmin first. | [
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1. Create another (maybe empty) database.
1. Disconnect from the Speckle database.
1. Edit server properties for other database.
1. On the connection tab set the other database as `Maintenance database`.
1. Reconnect to the Speckle database. | [
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1. Deploy Speckle server, if not already deployed, and verify the data is correct. | [
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Congratulations! - your data has been backed up, your database has been upgraded, and your data restored. We recommend undertaking the backup steps regularly, even if you are not upgrading your database.
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Our Speckle Server offers both a GraphQL API and a [REST API](/dev/server-rest-api), for most of your queries the GQL API is probably best suited because of its flexibility and ease of use.
When working with uploading and downloading objects, the REST API is preferred. | [
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The best way to explore and understand the Server API is to use our interactive explorer that comes bundled with the server. | [
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Simply head to `CANONICAL_URL/explorer` or to [https://app.speckle.systems/explorer](https://app.speckle.systems/explorer), and on the right panel you'll be able to see the API docs and schemas. After logging in you'll also be able to execute queries and mutations as the logged in user. | [
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Alternatively, the classic GraphQL explorer is also available at `CANONICAL_URL/graphql` or [https://app.speckle.systems/graphql](https://app.speckle.systems/graphql). | [
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How do you create a token, we hear you ask? Read the section on [personal access tokens](/dev/tokens.html)! | [
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Our GQL API also lets you run advanced queries, for instance you can use it to query Revit parameter data. See the examples below. | [
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```graphql
query($myQuery:[JSONObject!]){
stream(id:"c6b0c4077a"){
object(id:"0d0a4abc6a5fcc763e6c850dd3d5ecab"){
totalChildrenCount
children(query: $myQuery select:["parameters", "speckle_type", "type", "family", "category"]){
totalCount
cursor
objects{
id
data
}
}
}
}
}
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] |
Return objects while querying by a specific parameter value. Here, only objects with a parameter value greater than 5 are returned. | [
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```graphql
query($myQuery:[JSONObject!]){
stream(id:"c6b0c4077a"){
object(id:"0d0a4abc6a5fcc763e6c850dd3d5ecab"){
totalChildrenCount
children(query: $myQuery select:["parameters[0]".value, "parameters[0].name"]){
totalCount
cursor
objects{
id
data
}
}
}
}
}
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```json
{
"myQuery": [
{
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}
]
}
```
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This is the recommended method for developing or debugging the Speckle Server locally. | [
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If you plan to give others access to your Server instance, consider running it with production settings. Please refer to our guide for [Kubernetes](server-setup-k8s) or [Docker Compose](server-manualsetup). | [
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* [git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
* _optional_ [GitHub configured with ssh key auth](https://docs.github.com/en/authentication/connecting-to-github-with-ssh).
* [Node 18](https://nodejs.org/en).
* [Docker](https://www.docker.com/) and [Docker Compose](https://docs.docker.com/compose/install/). | [
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] |
Also don't worry if you don't have all of these, the detailed instructions provide more info on alternative ways to achieve the same thing.
This is a high efficiency getting started step list. | [
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Speckle server has been developed on Linux, Windows WSL2, and MacOS. It _does not_ work on Windows without WSL2. | [
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On MacOS devices with Apple based chips (M2, M3 etc.) it is possible to run the server as described below, but building and running Dockerfiles takes a lot of time (due to emulation of an x86 platform). | [
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] |
1. `git clone git@github.com:specklesystems/speckle-server.git` or, alternatively `git clone https://github.com/specklesystems/speckle-server.git`
1. `cd speckle-server`
1. `corepack enable`
1. `yarn`
1. `yarn build`
1. `yarn dev:docker:up`
1. `cp packages/server/.env-example packages/server/.env`
1. `cp packages/server/.env.test-example packages/server/.env.test`
1. `cp packages/frontend-2/.env.example packages/frontend-2/.env`
1. `cp packages/dui3/.env.example packages/dui3/.env`
1. `yarn dev` | [
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Wait for the frontend to build, and voila, you have a fully functional Speckle Server running at [http://localhost:3000](http://localhost:3000). | [
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To run a specific part of the Speckle server stack, go to the [components](#components) section | [
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1. To clone the repo git with [ssh key](https://docs.github.com/en/authentication/connecting-to-github-with-ssh/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent) auth was used.
You can use https based auth too, and can also gather some bonus points by using the `gh-cli` :D
1. We change into the cloned repository directory.
1. Nodejs versions ^16 now come with a package manager manager bundled named `corepack`. It enables us to use yarn without actually installing anything.
1. The monorepo is managed by [yarn workspaces](https://yarnpkg.com/features/workspaces).
This way the package manager handles dependencies of the monorepo and the proper connections between the different packages.
Running `yarn` a shorthand for `yarn install` bootstraps the repo.
1. Some of the local packages (viewer, object loader) has to be built the first time so that all packages are linked properly.
This can be done easily with a yarn script, where the yarn command will execute the given build script in all packages where it exists.
So running `yarn build` triggers all available build commands.
1. In this step, all the required services are started via docker compose.
The `docker-compose-deps.yml` file contains a sensible default setup of all the required non Speckle developed services.
This config by no means meant to be used in production.
If you are not running these dependencies via docker compose, please make sure, that their configuration options are in line with either the compose file or the individual package configurations.
1. In this step the provided example file is copied to a `.env` file with keeping the default values.
Here again we are providing a set of sensible defaults that work out of the box if you follow this guide, but do make sure to reflect any changes you make in you environment.
1. Similarly to the last step, we're providing sensible defaults for env variables that are applied when running tests or running the server in test mode
1. Similarly to the last step, we're providing sensible defaults for env variables that are applied to the new frontend
1. Similarly to the last step, we're providing sensible defaults for env variables that are applied to dui3
1. Just like above, we use yarn to run the `dev` script in each package. This is probably not the most efficient way, since it starts more packages in development mode, than needed, but its the easiest command that gets a server up and running. When developing, you probably want to run each component separately. A good enough setup might be to just run the server and the preferred frontend (run `yarn dev` only in those individual package directories). | [
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] |
When running `yarn dev` for all packages you might see errors relating to `@speckle/shared` being missing, but this is only temporarily because `@speckle/shared` is also being re-built at that point in time. Once its finished building all of the other packages should pick up on it and work fine. You might also see GraphQL Codegen errors, which also are temporary, because they rely on the speckle server being up and running. | [
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] |
::: tip IMPORTANT
Don't forget to set up the variables in the `.env` & `.env.test` files according to your deployment
::: | [
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* the `frontend-2` package (see [the readme.md file in the git repo](https://github.com/specklesystems/speckle-server/tree/main/packages/frontend-2))
* the `server` package (see [the readme.md file in the git repo](https://github.com/specklesystems/speckle-server/tree/main/packages/server)) | [
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Optionally, to enable extra functionality, microservices should be run separately. For more information, check their `README.md` file in the git repository: | [
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* the `preview-service` package generates preview images for streams (see [the readme.md file in the git repo](https://github.com/specklesystems/speckle-server/tree/main/packages/preview-service))
* the `webhook-service` package is responsible with calling the configured webhooks
* the `fileimport-service` package parses and imports uploaded files into Speckle. | [
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Detailed instructions for running them locally are kept up to date in their respective `readme.md` files. | [
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In this deployment type, the frontend Vue app will listen by default on the local interface (not available over the network) on `port 8080`, but will have no knowledge about the `server` component, and thus **should not be accessed directly**. | [
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The server component will listen on the local interface (not available over the network) on `port 3000`, and will proxy the frontend requests to the frontend component (as configured in .env file).
# Deploying a Server - Docker Compose | [
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::: tip IMPORTANT
We offer a free server that you can use straight away (create accounts, etc.). | [
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We can also help you manage your Server deployments (setting things up securely, automatic upgrades, support, etc) | [
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If you want to run your own instance, there are multiple ways to achieve this: | [
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] |
- The easiest way is to use our precompiled releases that are available as docker images on Docker Hub. This guide provides details on how to do that.
- If you want to deploy the Server with your own modifications, you should build your own docker images. Please refer to our separate guide on [local development](./server-local-dev). | [
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- PostgreSQL (tested with v12 and v13)
- Redis
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::: tip
PostgreSQL, Redis and MinIO are included in the following deployment instructions, so **you don't need to install them manually**. | [
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You can also install them manually or use a managed deployment from a cloud provider (Azure, AWS, DigitalOcean, etc). Setting them up manually is out of scope of this article.
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::: tip IMPORTANT
This setup is not recommended for use in production for a few reasons, namely: | [
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] |
- application level updates: we tend to move quite fast, and if things get busy, blink twice and you’re on an outdated server. this has security implications too.
- guaranteed uptime: from our experience, vm’s tend to restart now and then (they need updates and reboots too), which results in downtime.
- database backups - again this is up to you mostly on what’s your risk appetite when it comes to dealing with live data. We’re a bit more on the paranoid side, so we’ve set up replication, failover nodes and PITR.
- end-to-end encryption: possibly less of daily concern - we’re offering from encryption at rest, to https security (SSL/TLS certs & renewal) - so whenever data travels between a client and the db it’s always encrypted, inc. inside the datacenter itself.
- automatic scalability: for example, the preview service can be quite a monster; that setup can eat up all a vm’s resources, and starve other processes causing general system wide instability. | [
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If you need help deploying a production server, [we can help](https://speckle.systems/getstarted/)!
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This is the easiest way to get the Server running. | [
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As prerequisites, you only need a Linux VM with at least 4 GB of RAM and have [Docker](https://docs.docker.com/engine/install/ubuntu/#install-using-the-convenience-script) and [Docker Compose](https://docs.docker.com/compose/install/#install-compose-on-linux-systems) installed. | [
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services:
####
# Speckle Server dependencies
#######
postgres:
image: "postgres:14.5-alpine"
restart: always
environment:
POSTGRES_DB: speckle
POSTGRES_USER: speckle
POSTGRES_PASSWORD: speckle
volumes:
- postgres-data:/var/lib/postgresql/data/
healthcheck:
# the -U user has to match the POSTGRES_USER value
test: ["CMD-SHELL", "pg_isready -U speckle"]
interval: 5s
timeout: 5s
retries: 30 | [
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redis:
image: "redis:7-alpine"
restart: always
volumes:
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ports:
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healthcheck:
test: ["CMD", "redis-cli", "--raw", "incr", "ping"]
interval: 5s
timeout: 5s
retries: 30 | [
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minio:
image: "minio/minio"
command: server /data --console-address ":9001"
restart: always
volumes:
- minio-data:/data
healthcheck:
test: ["CMD", "mc", "ready", "local"]
interval: 5s
timeout: 5s
retries: 5 | [
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] |
####
# Speckle Server
#######
speckle-ingress:
image: speckle/speckle-docker-compose-ingress:2
restart: always
ports:
- "0.0.0.0:80:8080"
environment:
FILE_SIZE_LIMIT_MB: "100"
NGINX_ENVSUBST_OUTPUT_DIR: "/etc/nginx" | [
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speckle-frontend-2:
image: speckle/speckle-frontend-2:2
restart: always
environment:
NUXT_PUBLIC_SERVER_NAME: "local"
# TODO: Change NUXT_PUBLIC_API_ORIGIN to the URL of the speckle server, as accessed from the network. This is the same value as should be used for the CANONICAL_URL in the server section below.
NUXT_PUBLIC_API_ORIGIN: "http://127.0.0.1"
NUXT_PUBLIC_BACKEND_API_ORIGIN: "http://speckle-server:3000"
# TODO: Change NUXT_PUBLIC_BASE_URL to the URL of the speckle frontend, as accessed from the network. This is the same value as should be used for the CANONICAL_URL in the server section below.
NUXT_PUBLIC_BASE_URL: "http://127.0.0.1"
NUXT_PUBLIC_LOG_LEVEL: 'warn'
NUXT_REDIS_URL: "redis://redis" | [
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speckle-server:
image: speckle/speckle-server:2
restart: always
healthcheck:
test:
[
"CMD",
"node",
"-e",
"try { require('node:http').request({headers: {'Content-Type': 'application/json'}, port:3000, hostname:'127.0.0.1', path:'/graphql?query={serverInfo{version}}', method: 'GET', timeout: 2000 }, (res) => { body = ''; res.on('data', (chunk) => {body += chunk;}); res.on('end', () => {process.exit(res.statusCode != 200 || body.toLowerCase().includes('error'));}); }).end(); } catch { process.exit(1); }",
]
interval: 10s
timeout: 3s
retries: 30 | [
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] |
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
minio:
condition: service_healthy
environment:
# TODO: Change this to the URL of the speckle server, as accessed from the network
CANONICAL_URL: "http://127.0.0.1"
SPECKLE_AUTOMATE_URL: "http://127.0.0.1:3030" | [
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