Merge branch 'jupyter-on-kubernetes' of kazu634/blog into master
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title = "Kubernetes上でJupyterを稼働させる"
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date = 2020-05-10T18:12:22+08:00
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Description = "データサイエンティスト入門講座を受講するため、Jupyterをお家Kubernetes上で動作させました。"
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Tags = []
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Categories = ["python", "jupyter", "kubernetes"]
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+++
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Udemyがバーゲンをしていることに気づいたため、日本のゴールデンウィーク期間中は「[【ゼロから始めるデータ分析】 ビジネスケースで学ぶPythonデータサイエンス入門](https://www.udemy.com/course/optworks_1/)」でお勉強をしています。まだ終わっていません。。
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この講座は`Jupyter`を用いてデータ分析を進める形でしたので、お家Kubernetes上に`Jupyter`を稼働させることとしました。
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## JupyterのDockerイメージを探す
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[JupyterのDockerイメージまとめ - Qiita](https://qiita.com/kshigeru/items/ea174d6bcacc474f2a51)でまとめられています。今回は、`datascience-notebook`を使うことにしました。
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## JupyterのDockerイメージに日本語フォントを導入する
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[Jupyterのmatplotlibを使用する際の日本語豆腐を解決 - Qiita](https://qiita.com/Gvling/items/29516eebccf527e7be5d)を参考にして、日本語フォントを導入します:
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```docker
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FROM jupyter/datascience-notebook
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COPY ./ipag.ttf /opt/conda/lib/python3.7/site-packages/matplotlib/mpl-data/fonts/ttf/ipag.ttf
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RUN echo "font.family : IPAGothic" >> /opt/conda/lib/python3.7/site-packages/matplotlib/mpl-data/matplotlibr
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c
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# Delete font cache
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RUN rm -r ./.cache
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```
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## Kubernetesの設定
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Kubernetesの設定をまとめます。
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### Persistent Volume
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Persistent Volumeはお家NASからNFSで領域を確保しています。
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```yaml
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apiVersion: v1
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kind: PersistentVolume
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metadata:
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name: nfs-jupyter-work
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namespace: jupyter
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labels:
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name: nfs-jupyter-work
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annotations:
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volume.beta.kubernetes.io/storage-class: "slow"
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spec:
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capacity:
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storage: 25Gi
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accessModes:
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- ReadWriteMany
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persistentVolumeReclaimPolicy: Retain
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mountOptions:
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- nfsvers=4.1
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nfs:
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server: 192.168.10.200
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path: /volume1/Shared/kubernetes/jupyter/work
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---
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apiVersion: v1
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kind: PersistentVolume
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metadata:
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name: nfs-jupyter-config
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namespace: jupyter
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labels:
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name: nfs-jupyter-config
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annotations:
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volume.beta.kubernetes.io/storage-class: "slow"
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spec:
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capacity:
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storage: 25Gi
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accessModes:
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- ReadWriteMany
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persistentVolumeReclaimPolicy: Retain
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mountOptions:
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- nfsvers=4.1
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nfs:
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server: 192.168.10.200
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path: /volume1/Shared/kubernetes/jupyter/config
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```
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### Persistent Volume Claim
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確保したPersistent Volumeから、領域を確保します。
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```yaml
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: jupyter-claim-work
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namespace: jupyter
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annotations:
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volume.beta.kubernetes.io/storage-class: "slow"
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spec:
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accessModes:
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- ReadWriteMany
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resources:
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requests:
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storage: 25Gi
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selector:
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matchLabels:
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name: nfs-jupyter-work
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---
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: jupyter-claim-config
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namespace: jupyter
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annotations:
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volume.beta.kubernetes.io/storage-class: "slow"
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spec:
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accessModes:
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- ReadWriteMany
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resources:
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requests:
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storage: 25Gi
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selector:
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matchLabels:
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name: nfs-jupyter-config
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```
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### Deployment
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Deploymentの設定で、`Jupyter`のコンテナをデプロイします。レプリカの数は1個にしています。おそらく複数コンテナを起動しても、ステートレスに接続できないと考えたためです。
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```yaml
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: jupyter
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namespace: jupyter
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labels:
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app: jupyter
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spec:
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replicas: 1
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selector:
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matchLabels:
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app: jupyter
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template:
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metadata:
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labels:
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app: jupyter
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spec:
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containers:
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- name: jupyter
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image: reg.kazu634.com/kazu634/jupyter
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ports:
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- containerPort: 8888
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env:
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- name: CHOWN_HOME
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value: "yes"
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- name: CHOWN_HOME_OPTS
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value: "-R"
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- name: GRANT_SUDO
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value: "yes"
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volumeMounts:
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- mountPath: /home/jovyan/work
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name: docker-jupyter-work
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readOnly: false
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- mountPath: /home/jovyan/.jupyter
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name: docker-jupyter-config
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readOnly: false
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volumes:
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- name: docker-jupyter-work
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persistentVolumeClaim:
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claimName: jupyter-claim-work
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- name: docker-jupyter-config
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persistentVolumeClaim:
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claimName: jupyter-claim-config
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```
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### serviceの設定
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serviceの設定は以下になります。プライベートIPアドレスの`192.168.10.210/24`でアクセスできるようにしています。ポート番号は80にしました。
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```yaml
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apiVersion: v1
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kind: Service
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metadata:
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name: jupyter
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namespace: jupyter
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spec:
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ports:
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- name: http
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port: 80
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protocol: TCP
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targetPort: 8888
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selector:
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app: jupyter
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type: LoadBalancer
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loadBalancerIP: 192.168.10.210
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```
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## 動作確認
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自宅ネットワークにいる状態でアクセスしたら、無事に接続できました。
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<a data-flickr-embed="true" href="https://www.flickr.com/photos/42332031@N02/49879285922/" title="Untitled"><img src="https://live.staticflickr.com/65535/49879285922_31e846febb_z.jpg" width="640" height="447" alt="Untitled"></a><script async src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>
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