Build Offline yum for CentOS 7.9
Build CentOS 7.9 Offline Yum Source¶
Use Case Overview¶
DCE 5 comes with a pre-installed GPU Operator offline package for CentOS 7.9 with kernel version 3.10.0-1160. or other OS types or kernel versions, users need to manually build an offline yum source.
This guide explains how to build an offline yum source for CentOS 7.9 with a specific kernel version and use it when installing the GPU Operator by specifying the RepoConfig.ConfigMapName parameter.
Prerequisites¶
- The user has already installed the v0.12.0 or later version of the addon offline package on the platform.
- Prepare a file server that is accessible from the cluster network, such as Nginx or MinIO.
- Prepare a node that has internet access, can access the cluster where the GPU Operator will be deployed, and can access the file server. Docker should also be installed on this node. You can refer to Installing Docker for installation instructions.
Procedure¶
This guide uses CentOS 7.9 with kernel version 3.10.0-1160.95.1.el7.x86_64 as an example to explain how to upgrade the pre-installed GPU Operator offline package's yum source.
Check OS and Kernel Versions of Cluster Nodes¶
Run the following commands on both the control node of the Global cluster and the node where GPU Operator will be deployed. If the OS and kernel versions of the two nodes are consistent, there is no need to build a yum source. You can directly refer to the Offline Installation of GPU Operator document for installation. If the OS or kernel versions of the two nodes are not consistent, please proceed to the next step.
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Run the following command to view the distribution name and version of the node where GPU Operator will be deployed in the cluster.
Expected output:
The output shows the current node's OS version as
CentOS 7.9
. -
Run the following command to view the kernel version of the node where GPU Operator will be deployed in the cluster.
Expected output:
Linux localhost.localdomain 3.10.0-1160.95.1.el7.x86_64 #1 SMP Mon Oct 19 16:18:59 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
The output shows the current node's kernel version as
3.10.0-1160.el7.x86_64
.
Create the Offline Yum Source¶
Perform the following steps on a node that has internet access and can access the file server:
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Create a script file named yum.sh by running the following command:
Then press the i key to enter insert mode and enter the following content:
export TARGET_KERNEL_VERSION=$1 cat >> run.sh << \EOF #! /bin/bash echo "start install kernel repo" echo ${KERNEL_VERSION} mkdir centos-base if [ "$OS" -eq 7 ]; then yum install --downloadonly --downloaddir=./centos-base perl yum install --downloadonly --downloaddir=./centos-base elfutils-libelf.x86_64 yum install --downloadonly --downloaddir=./redhat-base elfutils-libelf-devel.x86_64 yum install --downloadonly --downloaddir=./centos-base kernel-headers-${KERNEL_VERSION}.el7.x86_64 yum install --downloadonly --downloaddir=./centos-base kernel-devel-${KERNEL_VERSION}.el7.x86_64 yum install --downloadonly --downloaddir=./centos-base kernel-${KERNEL_VERSION}.el7.x86_64 yum install -y --downloadonly --downloaddir=./centos-base groff-base elif [ "$OS" -eq 8 ]; then yum install --downloadonly --downloaddir=./centos-base perl yum install --downloadonly --downloaddir=./centos-base elfutils-libelf.x86_64 yum install --downloadonly --downloaddir=./redhat-base elfutils-libelf-devel.x86_64 yum install --downloadonly --downloaddir=./centos-base kernel-headers-${KERNEL_VERSION}.el8.x86_64 yum install --downloadonly --downloaddir=./centos-base kernel-devel-${KERNEL_VERSION}.el8.x86_64 yum install --downloadonly --downloaddir=./centos-base kernel-${KERNEL_VERSION}.el8.x86_64 yum install -y --downloadonly --downloaddir=./centos-base groff-base else echo "Error os version" fi createrepo centos-base/ ls -lh centos-base/ tar -zcf centos-base.tar.gz centos-base/ echo "end install kernel repo" EOF cat >> Dockerfile << EOF FROM centos:7 ENV KERNEL_VERSION="" ENV OS=7 RUN yum install -y createrepo COPY run.sh . ENTRYPOINT ["/bin/bash","run.sh"] EOF docker build -t test:v1 -f Dockerfile . docker run -e KERNEL_VERSION=$TARGET_KERNEL_VERSION --name centos7.9 test:v1 docker cp centos7.9:/centos-base.tar.gz . tar -xzf centos-base.tar.gz
Press the Esc key to exit insert mode, then enter :wq to save and exit.
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Run the yum.sh file:
The
TARGET_KERNEL_VERSION
parameter is used to specify the kernel version of the cluster nodes.Note: You don't need to include the distribution identifier (e.g., __ .el7.x86_64__ ). For example:
Now you have generated an offline yum source, centos-base , for the kernel version 3.10.0-1160.95.1.el7.x86_64 .
Upload the Offline Yum Source to the File Server¶
Perform the following steps on a node that has internet access and can access the file server. This step is used to upload the generated yum source from the previous step to a file server that can be accessed by the cluster where the GPU Operator will be deployed. The file server can be Nginx, MinIO, or any other file server that supports the HTTP protocol.
In this example, we will use the built-in MinIO in DCE5 as the file server. The MinIO details are as follows:
- Access URL:
http://10.5.14.200:9000
(usually {bootstrap-node IP} + {port-9000} ) - Login username: rootuser
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Login password: rootpass123
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Run the following command in the current directory of the node to establish a connection between the node's local mc command-line tool and the MinIO server:
The expected output should resemble the following:
mc is the command-line tool provided by MinIO for interacting with the MinIO server. For more details, refer to the MinIO Client documentation.
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In the current directory of the node, create a bucket named centos-base :
The expected output should resemble the following:
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Set the access policy of the bucket centos-base to allow public download. This will enable access during the installation of the GPU Operator:
The expected output should resemble the following:
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In the current directory of the node, copy the generated centos-base offline yum source to the minio/centos-base bucket on the MinIO server:
Create a ConfigMap to Store the Yum Source Info in the Cluster¶
Perform the following steps on the control node of the cluster where the GPU Operator will be deployed.
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Run the following command to create a file named CentOS-Base.repo that specifies the configmap for the yum source storage:
# The file name must be CentOS-Base.repo, otherwise it cannot be recognized during the installation of the GPU Operator cat > CentOS-Base.repo << EOF [extension-0] baseurl = http://10.5.14.200:9000/centos-base/centos-base # The file server address where the yum source is placed in step 3 gpgcheck = 0 name = kubean extension 0 [extension-1] baseurl = http://10.5.14.200:9000/centos-base/centos-base # The file server address where the yum source is placed in step 3 gpgcheck = 0 name = kubean extension 1 EOF
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Based on the created CentOS-Base.repo file, create a configmap named local-repo-config in the gpu-operator namespace:
kubectl create configmap local-repo-config -n gpu-operator --from-file=CentOS-Base.repo=/etc/yum.repos.d/extension.repo
The expected output should resemble the following:
The local-repo-config configmap will be used to provide the value for the RepoConfig.ConfigMapName parameter during the installation of the GPU Operator. You can customize the configuration file name.
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View the content of the local-repo-config configmap:
The expected output should resemble the following:
apiVersion: v1 data: CentOS-Base.repo: "[extension-0]\nbaseurl = http://10.6.232.5:32618/centos-base# The file server path where the yum source is placed in step 2\ngpgcheck = 0\nname = kubean extension 0\n \n[extension-1]\nbaseurl = http://10.6.232.5:32618/centos-base # The file server path where the yum source is placed in step 2\ngpgcheck = 0\nname = kubean extension 1\n" kind: ConfigMap metadata: creationTimestamp: "2023-10-18T01:59:02Z" name: local-repo-config namespace: gpu-operator resourceVersion: "59445080" uid: c5f0ebab-046f-442c-b932-f9003e014387
You have successfully created an offline yum source configuration file for the cluster where the GPU Operator will be deployed. You can use it during the offline installation of the GPU Operator by specifying the RepoConfig.ConfigMapName parameter.