Local Installation¶

This guide covers how you can quickly get started using Pachyderm locally on macOS®, Linux®, or Microsoft® Windows®. To install Pachyderm on Windows, first look at Deploy Pachyderm on Windows.

Pachyderm is a data-centric pipeline and data versioning application written in go that runs on top of a Kubernetes cluster. A common way to interact with Pachyderm is by using Pachyderm command-line tool pachctl, from a terminal window. To check the state of your deployment, you will also need to install kubectl, Kubernetes command-line tool.

Additionally, we will show you how to deploy and access Pachyderm UIs JupyterLab Mount Extension and Console on your local cluster.

Note that each web UI addresses different use cases:

• JupyterLab Mount Extension allows you to experiment and explore your data, then build your pipelines' code from your familiar Notebooks.
• Console helps you visualize your DAGs (Directed Acyclic Graphs), monitor your pipeline executions, access your logs, and troubleshoot while your pipelines are running.

Pachyderm uses Helm for all deployments.

Prerequisites¶

For a successful local deployment of Pachyderm, you will need:

• A Kubernetes cluster running on your local environment (pick the virtual machine of your choice):
  • Docker Desktop,
  • Minikube
  • Kind
  • Oracle® VirtualBox™
• Helm to deploy Pachyderm on your Kubernetes cluster.
• Pachyderm Command Line Interface (pachctl) to interact with your Pachyderm cluster.
• Kubernetes Command Line Interface kubectl to interact with your underlying Kubernetes cluster.

Setup A Local Kubernetes Cluster¶

Pick the virtual machine of your choice.

Using Minikube¶

On your local machine, you can run Pachyderm in a minikube virtual machine.
Minikube is a tool that creates a single-node Kubernetes cluster. This limited
installation is sufficient to try basic Pachyderm functionality and complete
the Beginner Tutorial.

To configure Minikube, follow these steps:

1. Install minikube and VirtualBox in your operating system as described in
   the Kubernetes documentation.

2. Start minikube:

   minikube start  
   

   Linux users, add this --driver flag:

   minikube start --driver=kvm2
   

Using Kubernetes on Docker Desktop¶

You can use Kubernetes on Docker Desktop instead of Minikube on macOS or Linux
by following these steps:

1. In the Docker Desktop Preferences, enable Kubernetes:
   

2. From the command prompt, confirm that Kubernetes is running:
   

   kubectl get all  
   

   NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)   AGE  
   service/kubernetes   ClusterIP   10.96.0.1    <none>        443/TCP   5d  
   

3. To reset your Kubernetes cluster that runs on Docker Desktop, click
   the Reset Kubernetes cluster button. See image above.

Using Kind¶

1. Install Kind according to its documentation.

2. From the command prompt, confirm that Kubernetes is running:
   

   kubectl get all  
   

   NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)   AGE  
   service/kubernetes   ClusterIP   10.96.0.1    <none>        443/TCP   5d  
   

Install pachctl¶

pachctl is a command-line tool that you can use to interact
with a Pachyderm cluster in your terminal.

1. Run the corresponding steps for your operating system:

   • For macOS or Brew users, run:

     brew tap pachyderm/tap && brew install pachyderm/tap/pachctl@2.3  
     

   • For a Debian-based Linux 64-bit or Windows 10 or later running on
     WSL (Choose the command matching your architecture):

     • AMD Architectures (amd64):

     curl -o /tmp/pachctl.deb -L https://github.com/pachyderm/pachyderm/releases/download/v2.3.4/pachctl_2.3.4_amd64.deb && sudo dpkg -i /tmp/pachctl.deb  
     

     • ARM Architectures (arm64):

     curl -o /tmp/pachctl.deb -L https://github.com/pachyderm/pachyderm/releases/download/v2.3.4/pachctl_2.3.4_arm64.deb && sudo dpkg -i /tmp/pachctl.deb  
     

   • For all other Linux flavors (Choose the command matching your architecture):

     • AMD Architectures (amd64):

     curl -o /tmp/pachctl.tar.gz -L https://github.com/pachyderm/pachyderm/releases/download/v2.3.4/pachctl_2.3.4_linux_amd64.tar.gz && tar -xvf /tmp/pachctl.tar.gz -C /tmp && sudo cp /tmp/pachctl_2.3.4_linux_amd64/pachctl /usr/local/bin 
     

     • ARM Architectures (arm64):

     curl -o /tmp/pachctl.tar.gz -L https://github.com/pachyderm/pachyderm/releases/download/v2.3.4/pachctl_2.3.4_linux_arm64.tar.gz && tar -xvf /tmp/pachctl.tar.gz -C /tmp && sudo cp /tmp/pachctl_2.3.4_linux_arm64/pachctl /usr/local/bin 
     

2. Verify that installation was successful by running pachctl version --client-only:

   pachctl version --client-only  
   

   System Response:

   COMPONENT           VERSION  
   pachctl             2.3.4  
   

   If you run pachctl version without the flag --client-only, the command times
   out. This is expected behavior because Pachyderm has not been deployed yet (pachd is not yet running).

Install Helm¶

Follow Helm's installation guide.

Deploy Pachyderm¶

When done with the Prerequisites, deploy Pachyderm on your local cluster by following these steps. Your default installation comes with Console (Pachyderm's Web UI).

Additionally, for JupyterLab users, you can install Pachyderm JupyterLab Mount Extension on your local Pachyderm cluster to experience Pachyderm from your familiar notebooks.

Note that you can run both Console and JupyterLab on your local installation.

• Get the Repo Info:

  helm repo add pach https://helm.pachyderm.com  
  helm repo update 
  

• Install Pachyderm:

helm install --wait --timeout 10m pachd pach/pachyderm --set deployTarget=LOCAL  

helm uninstall pachd 
kubectl delete pvc -l suite=pachyderm 

Check Your Install¶

Check the status of the Pachyderm pods by periodically running kubectl get pods. When Pachyderm is ready for use, all Pachyderm pods must be in the Running status.

Because Pachyderm needs to pull the Pachyderm Docker images from DockerHub, it might take a few minutes for the Pachyderm pods status to change to Running.

kubectl get pods

System Response: At a very minimum, you should see the following pods (console depends on your choice above):

NAME                                           READY   STATUS      RESTARTS   AGE
pod/console-5b67678df6-s4d8c                   1/1     Running     0          2m8s
pod/etcd-0                                     1/1     Running     0          2m8s
pod/pachd-c5848b5c7-zwb8p                      1/1     Running     0          2m8s
pod/pg-bouncer-7b855cb797-jqqpx                1/1     Running     0          2m8s
pod/postgres-0                                 1/1     Running     0          2m8s

If you see a few restarts on the pachd nodes, that means that Kubernetes tried to bring up those pods before etcd or postgres were ready. Therefore, Kubernetes restarted those pods. Re-run kubectl get pods

Connect 'pachctl' To Your Cluster¶

Assuming your pachd is running as shown above, the easiest way to connect pachctl to your local cluster is to use the port-forward command.

• To connect to your new Pachyderm instance, run:

  pachctl config import-kube local --overwrite
  pachctl config set active-context local
  

• Then:

  pachctl port-forward
  

  Background this process in a new tab of your terminal.

Verify that pachctl and your cluster are connected.¶

pachctl version  

System Response:

COMPONENT           VERSION  
pachctl             2.3.4  
pachd               2.3.4  

If You Have Deployed Pachyderm Community Edition¶

You are ready! To connect to your Console (Pachyderm UI), point your browser to localhost:4000.

If You Have Deployed Pachyderm Enterprise¶

• To connect to your Console (Pachyderm UI), point your browser to localhost:4000 and authenticate using the mock User (username: admin, password: password).

• Alternatively, you can connect to your Console (Pachyderm UI) directly by pointing your browser to port 4000 on your minikube IP (run minikube ip to retrieve minikube's external IP) or docker desktop IP http://<dockerDesktopIdaddress-or-minikube>:4000/ then authenticate using the mock User (username: admin, password: password).

• To use pachctl, you need to run pachctl auth login then authenticate again (to Pachyderm this time) with the mock User (username: admin, password: password).

NOTEBOOKS USERS: Install Pachyderm JupyterLab Mount Extension¶

• To install JupyterHub and the Mount Extension on your local cluster, run the following commands. You will be using our default jupyterhub-ext-values.yaml:

  helm repo add jupyterhub https://jupyterhub.github.io/helm-chart/
  helm repo update
  

  helm upgrade --cleanup-on-fail \
  --install jupyter jupyterhub/jupyterhub \
  --values https://raw.githubusercontent.com/pachyderm/pachyderm/2.3.x/etc/helm/examples/jupyterhub-ext-values.yaml
  

• Check the state of your pods kubectl get all. Look for the pods hub-xx and proxy-xx; their state should be Running. Run the command a couple times if necessary. The image takes some time to pull. See the example below:

  pod/hub-6fb9bb5847-ndfwc                       1/1     Running     0             22h
  pod/proxy-57db95fd89-l5pd5                     1/1     Running     0             22h
  

• Once your pods are up, in your terminal, run :

  kubectl port-forward svc/proxy-public 8888:80
  

  Then

  kubectl get services | grep -w "pachd " | awk '{print $3}'
  

  Note the returned ip address. You will need this cluster IP in a next step.

• Point your browser to http://localhost:8888, and authenticate using any mock User (username: admin, password: password will do).

• Now that you are in, click on Pachyderm's Mount Extension icon on the left of your JupyterLab to connect your JupyterLab to your Pachyderm cluster.

  Enter grpc://<your-pachd-cluster-ip-from-the-previous-step>:30650 to login.

• If Pachyderm was deployed with Enterprise, you will be prompted to login again. Use the same mock User (username: admin, password: password).

• Verify that your JupyterLab Extension is connected to your cluster. From the cell of a notebook, run:

  !pachctl version
  

  COMPONENT           VERSION  
  pachctl             2.3.4  
  pachd               2.3.4  
  

Next Steps¶

Complete the Beginner Tutorial to learn the basics of Pachyderm, such as adding data to a repository and building analysis pipelines.