Azure PPML support (#4660)
* add script * update * update * update scripts and doc * update pass * update * update docker * update * aks script * update create aks * add doc * update
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@ -13,23 +13,27 @@ Azure PPML solution integrate BigDL ***PPML*** technology with Azure Services(Az
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## 2. Setup
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### 2.1 Create Azure VM with BigDL PPML image
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#### 2.1.1 Create Resource Group
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Create resource group or use your existing resource group. Create resource group with Azure CLI:
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### 2.1 Install Azure CLI
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Before you setup your environment, please install Azure CLI on your machine according to [guide](https://docs.microsoft.com/en-us/cli/azure/install-azure-cli).
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Then run `az login` to login to Azure system before you run following Azure commands.
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### 2.2 Create Azure VM with BigDL PPML image
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#### 2.2.1 Create Resource Group
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Create resource group or use your existing resource group. Example code to create resource group with Azure CLI:
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```
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BigDLresourceGroupName="bigdl-rg-es2-test"
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region="eastus2"
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az group create \
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--name $BigDLresourceGroupName \
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--name myResourceGroup \
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--location $region \
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--output none
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```
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#### 2.1.2 Create Linux client with sgx support
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Create Linux VM through Azure CLI/Portal/Powershell. Please choose East US 2 region.
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#### 2.2.2 Create Linux client with sgx support
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Create Linux VM through Azure [CLI](https://docs.microsoft.com/en-us/azure/developer/javascript/tutorial/nodejs-virtual-machine-vm/create-linux-virtual-machine-azure-cli)/[Portal](https://docs.microsoft.com/en-us/azure/virtual-machines/linux/quick-create-portal)/Powershell. Please choose East US 2 region.
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For size of the VM, please choose DC-Series VM with more than 4 vCPU cores.
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#### 2.1.3 Pull BigDL PPML image and start
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#### 2.2.3 Pull BigDL PPML image and start
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* Login to the created VM, pull BigDL PPML image using such command:
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```bash
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docker pull intelanalytics/bigdl-ppml-trusted-big-data-ml-python-graphene:2.1.0-SNAPSHOT
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@ -56,53 +60,30 @@ sudo docker run -itd \
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$DOCKER_IMAGE bash
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```
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### 2.2 Create AKS(Azure Kubernetes Services)
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### 2.3 Create AKS(Azure Kubernetes Services)
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Create AKS or use existing one.
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The steps to create AKS is as below
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* Create Service Principle
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You can run `/ppml/trusted-big-data-ml/azure/create-aks.sh` to create AKS with confidential computing support.
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Note: Please use same VNet information of your client to create AKS.
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```bash
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az ad sp create-for-rbac
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/ppml/trusted-big-data-ml/azure/create-aks.sh \
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--resource-group myResourceGroup \
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--vnet-resource-group myVnetResourceGroup \
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--vnet-name myVnetName \
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--subnet-name mySubnetName \
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--cluster-name myAKSName \
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--vm-size myAKSNodeVMSize \
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--node-count myAKSInitNodeCount
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```
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The output is like below, please note down the 'appId'.
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You can check the information by run:
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```bash
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{
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"appId": "b1876d8d-66bc-4352-9ce4-8f0192b2546d",
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"displayName": "azure-cli-2022-03-04-01-21-55",
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"password": "0t~OHjoWuKYNO.b6r7OZG_uOAn5AbnTmHp",
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"tenant": "076293d2-5bf8-4aed-b73f-d8e82dacfc7e"
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}
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```
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* Assign your service princile to the VNet
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```bash
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VNET_ID=$(az network vnet show --resource-group myResourceGroup --name myAKSVnet --query id -o tsv)
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SUBNET_ID=$(az network vnet subnet show --resource-group myResourceGroup --vnet-name myAKSVnet --name myAKSSubnet --query id -o tsv)
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az role assignment create --assignee <appId> --scope "/subscriptions/xxx/resourceGroups/myResourceGroup/providers/Microsoft.Network/virtualNetworks/myAKSSubnet" --role "Network Contributor"
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```
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* Create AKS
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Example command to create AKS:
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```bash
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az aks create \
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--resource-group myResourceGroup \
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--name myAKSCluster \
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--node-count 3 \
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--network-plugin kubenet \
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--service-cidr 10.0.0.0/16 \
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--dns-service-ip 10.0.0.10 \
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--pod-cidr 10.244.0.0/16 \
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--docker-bridge-address 172.17.0.1/16 \
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--vnet-subnet-id $SUBNET_ID \
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--service-principal <appId>
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/ppml/trusted-big-data-ml/azure/create-aks.sh --help
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```
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* Enable Confidential Computing addon on AKS
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```bash
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az aks enable-addons --addons confcom --name myAKSCluster--resource-group myResourceGroup
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```
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## 2.3 Create Azure Data Lake Store Gen 2
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### 2.3.1 Create Data Lake Storage account or use existing one.
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## 2.4 Create Azure Data Lake Store Gen 2
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### 2.4.1 Create Data Lake Storage account or use existing one.
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The example command to create Data Lake store is as below:
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```bash
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az dls account create --account myDataLakeAccount --location myLocation --resource-group myResourceGroup
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@ -126,7 +107,7 @@ Example command to upload directory
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```bash
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az storage fs directory upload -f myFS --account-name myDataLakeAccount -s "path/to/directory" -d myDirectory --recursive
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```
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### 2.3.2 Access data in Hadoop through ABFS(Azure Blob Filesystem) driver
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### 2.4.2 Access data in Hadoop through ABFS(Azure Blob Filesystem) driver
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You can access Data Lake Storage in Hadoop filesytem by such URI: ```abfs[s]://file_system@account_name.dfs.core.windows.net/<path>/<path>/<file_name>```
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#### Authentication
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The ABFS driver supports two forms of authentication so that the Hadoop application may securely access resources contained within a Data Lake Storage Gen2 capable account.
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@ -141,8 +122,8 @@ az storage account keys list -g MyResourceGroup -n myDataLakeAccount
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```
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Use one of the keys in authentication.
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## 2.4 Create Azure Key Vault
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### 2.4.1 Create or use an existing Azure key vault
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## 2.5 Create Azure Key Vault
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### 2.5.1 Create or use an existing Azure key vault
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Example command to create key vault
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```bash
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az keyvault create -n myKeyVault -g myResourceGroup -l location
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@ -154,7 +135,7 @@ Take note of the following properties for use in the next section:
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* The name of your Azure key vault resource
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* The Azure tenant ID that the subscription belongs to
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### 2.4.2 Set access policy for the client VM
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### 2.5.2 Set access policy for the client VM
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* Login to the client VM, and get the system identity:
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```bash
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az vm identity assign -g myResourceGroup -n myVM
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@ -174,8 +155,8 @@ Example command:
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az keyvault set-policy --name myKeyVault --object-id <mySystemAssignedIdentity> --secret-permissions all --key-permissions all --certificate-permissions all
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```
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### 2.4.3 AKS access key vault
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#### 2.4.3.1 Set access for AKS VM ScaleSet
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### 2.5.3 AKS access key vault
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#### 2.5.3.1 Set access for AKS VM ScaleSet
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##### a. Find your VM ScaleSet in your AKS, and assign system managed identity to VM scale set.
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```bash
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az vm identity assign -g myResourceGroup -n myAKSVMSS
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@ -196,7 +177,7 @@ Example command:
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```bash
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az keyvault set-policy --name myKeyVault --object-id <systemManagedIdentityOfVMSS> --secret-permissions get --key-permissions all --certificate-permissions all
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```
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#### 2.4.3.2 Set access for AKS
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#### 2.5.3.2 Set access for AKS
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##### a. Enable Azure Key Vault Provider for Secrets Store CSI Driver support
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Example command:
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```bash
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@ -290,6 +271,9 @@ ARGS=
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DATA_LAKE_NAME=
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DATA_LAKE_ACCESS_KEY=
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KEY_VAULT_NAME=
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PRIMARY_KEY_PATH=
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DATA_KEY_PATH=
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LOCAL_IP=
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RUNTIME_SPARK_MASTER=
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@ -353,6 +337,10 @@ export TF_MKL_ALLOC_MAX_BYTES=10737418240 && \
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--conf spark.hadoop.fs.azure.account.auth.type.${DATA_LAKE_NAME}.dfs.core.windows.net=SharedKey \
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--conf spark.hadoop.fs.azure.account.key.${DATA_LAKE_NAME}.dfs.core.windows.net=${DATA_LAKE_ACCESS_KEY} \
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--conf spark.hadoop.fs.azure.enable.append.support=true \
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--conf spark.bigdl.kms.type=AzureKeyManagementService \
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--conf spark.bigdl.kms.azure.vault=$KEY_VAULT_NAME \
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--conf spark.bigdl.kms.key.primary=$PRIMARY_KEY_PATH \
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--conf spark.bigdl.kms.key.data=$DATA_KEY_PATH \
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--class $SPARK_JOB_MAIN_CLASS \
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--verbose \
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local://$SPARK_EXTRA_JAR_PATH \
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@ -93,6 +93,7 @@ BigDL Documentation
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doc/PPML/QuickStart/trusted-serving-on-k8s-guide.md
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doc/PPML/QuickStart/tpc-h_with_sparksql_on_k8s.md
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doc/PPML/QuickStart/tpc-ds_with_sparksql_on_k8s.md
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doc/PPML/Overview/azure_ppml.md
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.. toctree::
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:maxdepth: 1
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