# Format JuiceFS file system > juicefs format redis://your-redis-host:6379/1 myjfs # Mount JuiceFS file system > juicefs mount -d redis://your-redis-host:6379/1 /mnt/juicefs # Check mount point status > df -h /mnt/juicefs Filesystem Size Used Avail Capacity iused ifree %iused Mounted on JuiceFS:myjfs 1.0Pi 0Bi 1.0Pi 0% 0 10485760 0% /mnt/juicefs # Copy dataset from home to JuiceFS > cp -r ~/dataset /mnt/juicefs/ # Python example.py path = '/mnt/juicefs/dataset/days.txt' days_file = open(path, 'r') days = days_file.read() new_path = '/mnt/juicefs/new_days.txt' new_days = open(new_path, 'w') title = 'Days of the Week\n' new_days.write(title) print(title) new_days.write(days) print(days) days_file.close() new_days.close() apiVersion: v1 kind: PersistentVolumeClaim metadata: name: web-pvc spec: accessModes: - ReadWriteMany resources: requests: storage: 10Pi storageClassName: juicefs-sc --- apiVersion: apps/v1 kind: Deployment metadata: name: nginx-run spec: selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: nginx image: linuxserver/nginx ports: - containerPort: 80 volumeMounts: - mountPath: /config name: web-data volumes: - name: web-data persistentVolumeClaim: claimName: web-pvc > kubectl get sc NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE juicefs-sc csi.juicefs.com Retain Immediate false 88m # Shell > hadoop fs -ls jfs://myjfs # Hive CREATE TABLE IF NOT EXISTS person ( name STRING, age INT ) LOCATION 'jfs://myjfs/tmp/person'; # Start S3 Gateway for JuiceFS file system > juicefs gateway redis://localhost:6379/1 localhost:9000 # Access JuiceFS file system via AWS CLI > aws --endpoint-url http://localhost:9000 s3 ls s3://myjfs # Format JuiceFS file system > juicefs format redis://your-redis-host:6379/1 myjfs # Mount JuiceFS file system > juicefs mount -d redis://your-redis-host:6379/1 /mnt/juicefs # Check mount point status > df -h /mnt/juicefs Filesystem Size Used Avail Capacity iused ifree %iused Mounted on JuiceFS:myjfs 1.0Pi 0Bi 1.0Pi 0% 0 10485760 0% /mnt/juicefs # Copy dataset from home to JuiceFS > cp -r ~/dataset /mnt/juicefs/ # Python example.py path = '/mnt/juicefs/dataset/days.txt' days_file = open(path, 'r') days = days_file.read() new_path = '/mnt/juicefs/new_days.txt' new_days = open(new_path, 'w') title = 'Days of the Week\n' new_days.write(title) print(title) new_days.write(days) print(days) days_file.close() new_days.close() apiVersion: v1 kind: PersistentVolumeClaim metadata: name: web-pvc spec: accessModes: - ReadWriteMany resources: requests: storage: 10Pi storageClassName: juicefs-sc --- apiVersion: apps/v1 kind: Deployment metadata: name: nginx-run spec: selector: matchLabels: app: nginx template: metadata: labels: app: nginx spec: containers: - name: nginx image: linuxserver/nginx ports: - containerPort: 80 volumeMounts: - mountPath: /config name: web-data volumes: - name: web-data persistentVolumeClaim: claimName: web-pvc > kubectl get sc NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE juicefs-sc csi.juicefs.com Retain Immediate false 88m # Shell > hadoop fs -ls jfs://myjfs # Hive CREATE TABLE IF NOT EXISTS person ( name STRING, age INT ) LOCATION 'jfs://myjfs/tmp/person'; # Start S3 Gateway for JuiceFS file system > juicefs gateway redis://localhost:6379/1 localhost:9000 # Access JuiceFS file system via AWS CLI > aws --endpoint-url http://localhost:9000 s3 ls s3://myjfs