Skip to content

Latest commit

 

History

History
222 lines (167 loc) · 6.89 KB

how_to_develop.md

File metadata and controls

222 lines (167 loc) · 6.89 KB

Developer Guide

Requirements

  • Git
  • Golang (version >= 1.13)
  • Docker (version >= 19.03)
  • Kubernetes (version >= 1.14)
  • GNU Make

For installation of Golang, please refer to Install Golang

make is usually in a build-essential package in your distribution's package manager of choice. Make sure you have make on your machine.

There're great chances that you may want to run your implementation in a real Kubernetes cluster, so probably a Docker is needed for some necessary operations like building images. See Install Docker for more information.

How to Build, Run and Debug

Get Source Code

$ mkdir -p $GOPATH/src/github.com/fluid-cloudnative/
$ cd $GOPATH/src/github.com/fluid-cloudnative
$ git clone https://github.com/fluid-cloudnative/fluid.git

NOTE: In this document, we build, run and debug under non-module environment.

See Go Modules for more information if some issue occurs to you.

Build Binary

Makefile under project directory provides many tasks you may want to use including Test, Build, Debug, Deploy etc.

You can simply get a binary by running:

# build dataset-controller, alluxioruntime-controller and csi Binary
$ make build

By default, the binary would be put under <fluid-path>/bin.

Build Images

  1. Set tags for images

    # set name for image of dataset-controller
    $ export DATASET_CONTROLLER_IMG=<your-registry>/<your-namespace>/<img-name>
    # set name for image of alluxioruntime-controller
    $ export ALLUXIORUNTIME_CONTROLLER_IMG=<your-registry>/<your-namespace>/<img-name>
    # set name for image of  CSI
    $ export CSI_IMG=<your-registry>/<your-namespace>/<csi-img-name>
    # set name for image of init-user
    $ export INIT_USERS_IMG=<your-registry>/<your-namespace>/<csi-img-name>
    
    # build all images
    $ make docker-build-all

    Before running Fluid, you need to push the built image to an accessible image registry.

  2. Login to a image registry

    Make sure you've login to a docker image registry that you'd like to push your image to:

    $ sudo docker login <docker-registry>
  3. push your images:

    $ make docker-push-all

Run Your Fluid on Kubernetes Cluster

In the following steps, we assume you have properly configured KUBECONFIG environment variable or set up ~/.kube/config. See Kubeconfig docs for more information.

  1. Push your images to a image registry accessible to your Kubernetes cluster

    If your images are pushed to some private repositories, make sure your Kubernetes cluster hold credentials for accessing those repositories.

  2. Change image in the samples we provide:

    # <fluid-path>/config/fluid/patches/image_in_manager.yaml
    ...
    ...
    containers:
      - name: manager
        image: <registry>/<namespace>/<img-repo>:<img-tag>
    # <fluid-path>/config/fluid/patches/image_in_csi-plugin.yaml
    ...
    ...
    containers:
      - name: plugins
        image: <registry>/<namespace>/<csi-img-name>:<csi-img-tag>
  3. Install CRDs

    $ kubectl apply -k config/crd

    Check CRD with:

    $ kubectl get crd | grep fluid
    alluxiodataloads.data.fluid.io          2020-08-22T03:53:46Z
    alluxioruntimes.data.fluid.io           2020-08-22T03:53:46Z
    datasets.data.fluid.io                  2020-08-22T03:53:46Z
  4. Install your implementation

    $ kubectl apply -k config/fluid

    Check Fluid system with:

    $ kubectl get pod -n fluid-system
    NAME                                  READY   STATUS    RESTARTS   AGE
    controller-manager-7fd6457ccf-p7j2x   1/1     Running   0          84s
    csi-nodeplugin-fluid-pj9tv            2/2     Running   0          84s
    csi-nodeplugin-fluid-t8ctj            2/2     Running   0          84s
  5. Run samples to verify your implementation

    Here is a sample provided by us, you may want to rewrite it according to your implementation.

    $ kubectl apply -k config/samples

    Check sample pods:

    $ kubectl get pod
    NAME                   READY   STATUS    RESTARTS   AGE
    cifar10-fuse-vb6l4     1/1     Running   0          6m15s
    cifar10-fuse-vtqpx     1/1     Running   0          6m15s
    cifar10-master-0       2/2     Running   0          8m24s
    cifar10-worker-729xz   2/2     Running   0          6m15s
    cifar10-worker-d6kmd   2/2     Running   0          6m15s
    nginx-0                1/1     Running   0          8m30s
    nginx-1                1/1     Running   0          8m30s
  6. Check logs to verify your implementation

    $ kubectl logs -n fluid-system <controller_manager_name>
  7. Clean up

    $ kubectl delete -k config/samples
    $ kubectl delete -k config/fluid
    $ kubectl delete -k config/crd

Unit Testing

Basic Tests

Execute following command from project root to run basic unit tests:

$ make unit-test

Integration Tests

kubebuilder provided a integration test framework based on envtest package. You must install kubebuilder before running integration tests:

$ os=$(go env GOOS)
$ arch=$(go env GOARCH)
$ curl -L https://go.kubebuilder.io/dl/2.3.1/${os}/${arch} | tar -xz -C /tmp/
$ sudo mv /tmp/kubebuilder_2.3.1_${os}_${arch} /usr/local/kubebuilder
$ export PATH=$PATH:/usr/local/kubebuilder/bin

Next, run all unit tests (integration tests included) with:

$ make test

NOTE: When running unit tests on a non-linux system such as macOS, if testing failed and says exec format error, you may need to check whether GOOS is consistent with your actual OS.

Debug

You can debug your program in multiple ways, here is just a brief guide for how to debug with go-delve

Prerequisites

Make sure you have go-delve installed. See go-delve installation guide for more information

Debug locally

# build & debug in one line
$ dlv debug <fluid-path>/cmd/controller/main.go

# debug binary
$ make manager
$ dlv exec bin/manager

Debug remotely

On remote host:

$ dlv debug --headless --listen ":12345" --log --api-version=2 cmd/controller/main.go

The command above will make go-delve start a debug service and listen for port 12345.

On local host, connect to the debug service:

$ dlv connect "<remote-address>:12345" --api-version=2

Note: To debug remotely, make sure the specified port is not occupied and the firewall has been properly configured.