<@U06RKAMK0UC> does Flyte support bucket mounting?
# ask-ai
f
@ancient-wolf-19325 does Flyte support bucket mounting?
a
Flyte does not natively support bucket mounting directly within its tasks. However, you can achieve similar functionality using Kubernetes Persistent Volumes (PVs) and Persistent Volume Claims (PVCs) or by using S3FS to mount S3 buckets, though this requires running containers in privileged mode. For mounting S3 buckets, you can use S3FS, but it requires privileged mode to handle FUSE permissions, as discussed here. Alternatively, you can use Kubernetes PVs and PVCs to mount volumes in Flyte tasks, as detailed here. Would you like more details on either of these methods? Sources: - Mounting S3FS - Using PVs and PVCs 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.
f
How to accomplish it @ancient-wolf-19325?
a
To mount an S3 bucket using S3FS in Flyte, you need to run your containers in privileged mode to handle FUSE permissions. Here's a step-by-step guide: 1. Install S3FS: Ensure that S3FS is installed in your container image. 2. Create a Kubernetes Pod Template: Define a pod template that includes the necessary volume mounts and security context to run in privileged mode. Here's an example of how to define a Flyte task with a pod template to mount an S3 bucket using S3FS:
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from flytekit import task, Resources
from flytekitplugins.pod import Pod, PodTemplate
from kubernetes.client import V1PodSpec, V1Container, V1VolumeMount, V1Volume, V1PersistentVolumeClaimVolumeSource

@task(
    task_config=Pod(
        pod_spec=V1PodSpec(
            containers=[
                V1Container(
                    name="primary",
                    image="your-container-image",
                    command=["/bin/sh", "-c", "s3fs your-bucket /mnt/s3 -o iam_role=your-iam-role"],
                    volume_mounts=[
                        V1VolumeMount(name="s3-bucket", mount_path="/mnt/s3")
                    ],
                    security_context={"privileged": True}
                )
            ],
            volumes=[
                V1Volume(
                    name="s3-bucket",
                    persistent_volume_claim=V1PersistentVolumeClaimVolumeSource(claim_name="your-pvc")
                )
            ],
        ),
        primary_container_name="primary",
    ),
    requests=Resources(mem="1Gi"),
)
def my_s3fs_task() -> None:
    # Your task logic here
    pass
For using Kubernetes PVs and PVCs, you can create a PVC and mount it in your Flyte task as follows: 1. Create a PVC: Define a PVC in your Kubernetes cluster. 2. Mount the PVC in Flyte Task: Use the pod plugin or pod template to mount the PVC. Example:
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from flytekit import task, Resources
from flytekitplugins.pod import Pod
from kubernetes.client import V1PodSpec, V1Container, V1VolumeMount, V1Volume, V1PersistentVolumeClaimVolumeSource

@task(
    task_config=Pod(
        pod_spec=V1PodSpec(
            containers=[
                V1Container(
                    name="primary",
                    image="your-container-image",
                    volume_mounts=[
                        V1VolumeMount(name="persistent-storage", mount_path="/data")
                    ],
                )
            ],
            volumes=[
                V1Volume(
                    name="persistent-storage",
                    persistent_volume_claim=V1PersistentVolumeClaimVolumeSource(claim_name="your-pvc")
                )
            ],
        ),
        primary_container_name="primary",
    ),
    requests=Resources(mem="1Gi"),
)
def my_pvc_task() -> None:
    # Your task logic here
    pass
Would you like more details on any specific part of this process? Sources: - Using PVs and PVCs 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.