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Getting started with Amazon SageMaker Feature Store - AWS SDK Code Examples

There are more AWS SDK examples available in the AWS Doc SDK Examples GitHub repo.

Getting started with Amazon SageMaker Feature Store

The following code example shows how to:

  • Set up IAM permissions

  • Create a SageMaker execution role

  • Create feature groups

  • Clean up resources

Bash
AWS CLI with Bash script
Note

There's more on GitHub. Find the complete example and learn how to set up and run in the Sample developer tutorials repository.

#!/bin/bash # Amazon SageMaker Feature Store Tutorial Script - Version 3 # This script demonstrates how to use Amazon SageMaker Feature Store with AWS CLI # Setup logging LOG_FILE="sagemaker-featurestore-tutorial.log" exec > >(tee -a "$LOG_FILE") 2>&1 echo "Starting SageMaker Feature Store tutorial script at $(date)" echo "All commands and outputs will be logged to $LOG_FILE" echo "" # Track created resources for cleanup CREATED_RESOURCES=() # Function to handle errors handle_error() { echo "ERROR: $1" echo "Attempting to clean up resources..." cleanup_resources exit 1 } # Function to check command status check_status() { if echo "$1" | grep -i "error" > /dev/null; then handle_error "$1" fi } # Function to wait for feature group to be created wait_for_feature_group() { local feature_group_name=$1 local status="Creating" echo "Waiting for feature group ${feature_group_name} to be created..." while [ "$status" = "Creating" ]; do sleep 5 status=$(aws sagemaker describe-feature-group \ --feature-group-name "${feature_group_name}" \ --query 'FeatureGroupStatus' \ --output text) echo "Current status: ${status}" if [ "$status" = "Failed" ]; then handle_error "Feature group ${feature_group_name} creation failed" fi done echo "Feature group ${feature_group_name} is now ${status}" } # Function to clean up resources cleanup_resources() { echo "Cleaning up resources..." # Clean up in reverse order for ((i=${#CREATED_RESOURCES[@]}-1; i>=0; i--)); do resource="${CREATED_RESOURCES[$i]}" resource_type=$(echo "$resource" | cut -d: -f1) resource_name=$(echo "$resource" | cut -d: -f2) echo "Deleting $resource_type: $resource_name" case "$resource_type" in "FeatureGroup") aws sagemaker delete-feature-group --feature-group-name "$resource_name" ;; "S3Bucket") echo "Emptying S3 bucket: $resource_name" aws s3 rm "s3://$resource_name" --recursive 2>/dev/null echo "Deleting S3 bucket: $resource_name" aws s3api delete-bucket --bucket "$resource_name" 2>/dev/null ;; "IAMRole") echo "Detaching policies from role: $resource_name" aws iam detach-role-policy --role-name "$resource_name" --policy-arn "arn:aws:iam::aws:policy/AmazonSageMakerFullAccess" 2>/dev/null aws iam detach-role-policy --role-name "$resource_name" --policy-arn "arn:aws:iam::aws:policy/AmazonS3FullAccess" 2>/dev/null echo "Deleting IAM role: $resource_name" aws iam delete-role --role-name "$resource_name" 2>/dev/null ;; *) echo "Unknown resource type: $resource_type" ;; esac done } # Function to create SageMaker execution role create_sagemaker_role() { local role_name="SageMakerFeatureStoreRole-$(openssl rand -hex 4)" echo "Creating SageMaker execution role: $role_name" >&2 # Create trust policy document local trust_policy='{ "Version":"2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "sagemaker.amazonaws.com" }, "Action": "sts:AssumeRole" } ] }' # Create the role local role_result=$(aws iam create-role \ --role-name "$role_name" \ --assume-role-policy-document "$trust_policy" \ --description "SageMaker execution role for Feature Store tutorial" 2>&1) if echo "$role_result" | grep -i "error" > /dev/null; then handle_error "Failed to create IAM role: $role_result" fi echo "Role created successfully" >&2 CREATED_RESOURCES+=("IAMRole:$role_name") # Attach necessary policies echo "Attaching policies to role..." >&2 # SageMaker execution policy local policy1_result=$(aws iam attach-role-policy \ --role-name "$role_name" \ --policy-arn "arn:aws:iam::aws:policy/AmazonSageMakerFullAccess" 2>&1) if echo "$policy1_result" | grep -i "error" > /dev/null; then handle_error "Failed to attach SageMaker policy: $policy1_result" fi # S3 access policy local policy2_result=$(aws iam attach-role-policy \ --role-name "$role_name" \ --policy-arn "arn:aws:iam::aws:policy/AmazonS3FullAccess" 2>&1) if echo "$policy2_result" | grep -i "error" > /dev/null; then handle_error "Failed to attach S3 policy: $policy2_result" fi # Get account ID for role ARN local account_id=$(aws sts get-caller-identity --query Account --output text) local role_arn="arn:aws:iam::${account_id}:role/${role_name}" echo "Role ARN: $role_arn" >&2 echo "Waiting 10 seconds for role to propagate..." >&2 sleep 10 # Return only the role ARN to stdout echo "$role_arn" } # Handle SageMaker execution role ROLE_ARN="" if [ -z "$1" ]; then echo "Creating SageMaker execution role automatically..." ROLE_ARN=$(create_sagemaker_role) if [ -z "$ROLE_ARN" ]; then handle_error "Failed to create SageMaker execution role" fi else ROLE_ARN="$1" # Validate the role ARN ROLE_NAME=$(echo "$ROLE_ARN" | sed 's/.*role\///') ROLE_CHECK=$(aws iam get-role --role-name "$ROLE_NAME" 2>&1) if echo "$ROLE_CHECK" | grep -i "error" > /dev/null; then echo "Creating a new role automatically..." ROLE_ARN=$(create_sagemaker_role) if [ -z "$ROLE_ARN" ]; then handle_error "Failed to create SageMaker execution role" fi fi fi # Handle cleanup option AUTO_CLEANUP="" if [ -n "$2" ]; then AUTO_CLEANUP="$2" fi # Generate a random identifier for resource names RANDOM_ID=$(openssl rand -hex 4) echo "Using random identifier: $RANDOM_ID" # Set variables ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text) check_status "$ACCOUNT_ID" echo "Account ID: $ACCOUNT_ID" # Get current region REGION=$(aws configure get region) if [ -z "$REGION" ]; then REGION="us-east-1" echo "No default region configured, using: $REGION" else echo "Using region: $REGION" fi S3_BUCKET_NAME="sagemaker-featurestore-${RANDOM_ID}-${ACCOUNT_ID}" PREFIX="featurestore-tutorial" CURRENT_TIME=$(date +%s) echo "Creating S3 bucket: $S3_BUCKET_NAME" # Create bucket in current region if [ "$REGION" = "us-east-1" ]; then BUCKET_RESULT=$(aws s3api create-bucket --bucket "$S3_BUCKET_NAME" \ --region "$REGION" 2>&1) else BUCKET_RESULT=$(aws s3api create-bucket --bucket "$S3_BUCKET_NAME" \ --region "$REGION" \ --create-bucket-configuration LocationConstraint="$REGION" 2>&1) fi if echo "$BUCKET_RESULT" | grep -i "error" > /dev/null; then echo "Failed to create S3 bucket: $BUCKET_RESULT" exit 1 fi echo "$BUCKET_RESULT" CREATED_RESOURCES+=("S3Bucket:$S3_BUCKET_NAME") # Block public access to the bucket BLOCK_RESULT=$(aws s3api put-public-access-block \ --bucket "$S3_BUCKET_NAME" \ --public-access-block-configuration "BlockPublicAcls=true,IgnorePublicAcls=true,BlockPublicPolicy=true,RestrictPublicBuckets=true" 2>&1) if echo "$BLOCK_RESULT" | grep -i "error" > /dev/null; then echo "Failed to block public access to S3 bucket: $BLOCK_RESULT" cleanup_resources exit 1 fi # Create feature groups echo "Creating feature groups..." # Create customers feature group CUSTOMERS_FEATURE_GROUP_NAME="customers-feature-group-${RANDOM_ID}" echo "Creating customers feature group: $CUSTOMERS_FEATURE_GROUP_NAME" CUSTOMERS_RESPONSE=$(aws sagemaker create-feature-group \ --feature-group-name "$CUSTOMERS_FEATURE_GROUP_NAME" \ --record-identifier-feature-name "customer_id" \ --event-time-feature-name "EventTime" \ --feature-definitions '[ {"FeatureName": "customer_id", "FeatureType": "Integral"}, {"FeatureName": "name", "FeatureType": "String"}, {"FeatureName": "age", "FeatureType": "Integral"}, {"FeatureName": "address", "FeatureType": "String"}, {"FeatureName": "membership_type", "FeatureType": "String"}, {"FeatureName": "EventTime", "FeatureType": "Fractional"} ]' \ --online-store-config '{"EnableOnlineStore": true}' \ --offline-store-config '{ "S3StorageConfig": { "S3Uri": "s3://'${S3_BUCKET_NAME}'/'${PREFIX}'" }, "DisableGlueTableCreation": false }' \ --role-arn "$ROLE_ARN" 2>&1) if echo "$CUSTOMERS_RESPONSE" | grep -i "error" > /dev/null; then echo "Failed to create customers feature group: $CUSTOMERS_RESPONSE" cleanup_resources exit 1 fi echo "$CUSTOMERS_RESPONSE" CREATED_RESOURCES+=("FeatureGroup:$CUSTOMERS_FEATURE_GROUP_NAME") # Create orders feature group ORDERS_FEATURE_GROUP_NAME="orders-feature-group-${RANDOM_ID}" echo "Creating orders feature group: $ORDERS_FEATURE_GROUP_NAME" ORDERS_RESPONSE=$(aws sagemaker create-feature-group \ --feature-group-name "$ORDERS_FEATURE_GROUP_NAME" \ --record-identifier-feature-name "customer_id" \ --event-time-feature-name "EventTime" \ --feature-definitions '[ {"FeatureName": "customer_id", "FeatureType": "Integral"}, {"FeatureName": "order_id", "FeatureType": "String"}, {"FeatureName": "order_date", "FeatureType": "String"}, {"FeatureName": "product", "FeatureType": "String"}, {"FeatureName": "quantity", "FeatureType": "Integral"}, {"FeatureName": "amount", "FeatureType": "Fractional"}, {"FeatureName": "EventTime", "FeatureType": "Fractional"} ]' \ --online-store-config '{"EnableOnlineStore": true}' \ --offline-store-config '{ "S3StorageConfig": { "S3Uri": "s3://'${S3_BUCKET_NAME}'/'${PREFIX}'" }, "DisableGlueTableCreation": false }' \ --role-arn "$ROLE_ARN" 2>&1) if echo "$ORDERS_RESPONSE" | grep -i "error" > /dev/null; then echo "Failed to create orders feature group: $ORDERS_RESPONSE" cleanup_resources exit 1 fi echo "$ORDERS_RESPONSE" CREATED_RESOURCES+=("FeatureGroup:$ORDERS_FEATURE_GROUP_NAME") # Wait for feature groups to be created wait_for_feature_group "$CUSTOMERS_FEATURE_GROUP_NAME" wait_for_feature_group "$ORDERS_FEATURE_GROUP_NAME" # Ingest data into feature groups echo "Ingesting data into feature groups..." # Ingest customer data echo "Ingesting customer data..." CUSTOMER1_RESPONSE=$(aws sagemaker-featurestore-runtime put-record \ --feature-group-name "$CUSTOMERS_FEATURE_GROUP_NAME" \ --record '[ {"FeatureName": "customer_id", "ValueAsString": "573291"}, {"FeatureName": "name", "ValueAsString": "John Doe"}, {"FeatureName": "age", "ValueAsString": "35"}, {"FeatureName": "address", "ValueAsString": "123 Main St"}, {"FeatureName": "membership_type", "ValueAsString": "premium"}, {"FeatureName": "EventTime", "ValueAsString": "'${CURRENT_TIME}'"} ]' 2>&1) if echo "$CUSTOMER1_RESPONSE" | grep -i "error" > /dev/null; then echo "Failed to ingest customer 1 data: $CUSTOMER1_RESPONSE" cleanup_resources exit 1 fi echo "$CUSTOMER1_RESPONSE" CUSTOMER2_RESPONSE=$(aws sagemaker-featurestore-runtime put-record \ --feature-group-name "$CUSTOMERS_FEATURE_GROUP_NAME" \ --record '[ {"FeatureName": "customer_id", "ValueAsString": "109382"}, {"FeatureName": "name", "ValueAsString": "Jane Smith"}, {"FeatureName": "age", "ValueAsString": "28"}, {"FeatureName": "address", "ValueAsString": "456 Oak Ave"}, {"FeatureName": "membership_type", "ValueAsString": "standard"}, {"FeatureName": "EventTime", "ValueAsString": "'${CURRENT_TIME}'"} ]' 2>&1) if echo "$CUSTOMER2_RESPONSE" | grep -i "error" > /dev/null; then echo "Failed to ingest customer 2 data: $CUSTOMER2_RESPONSE" cleanup_resources exit 1 fi echo "$CUSTOMER2_RESPONSE" # Ingest order data echo "Ingesting order data..." ORDER1_RESPONSE=$(aws sagemaker-featurestore-runtime put-record \ --feature-group-name "$ORDERS_FEATURE_GROUP_NAME" \ --record '[ {"FeatureName": "customer_id", "ValueAsString": "573291"}, {"FeatureName": "order_id", "ValueAsString": "ORD-001"}, {"FeatureName": "order_date", "ValueAsString": "2023-01-15"}, {"FeatureName": "product", "ValueAsString": "Laptop"}, {"FeatureName": "quantity", "ValueAsString": "1"}, {"FeatureName": "amount", "ValueAsString": "1299.99"}, {"FeatureName": "EventTime", "ValueAsString": "'${CURRENT_TIME}'"} ]' 2>&1) if echo "$ORDER1_RESPONSE" | grep -i "error" > /dev/null; then echo "Failed to ingest order 1 data: $ORDER1_RESPONSE" cleanup_resources exit 1 fi echo "$ORDER1_RESPONSE" ORDER2_RESPONSE=$(aws sagemaker-featurestore-runtime put-record \ --feature-group-name "$ORDERS_FEATURE_GROUP_NAME" \ --record '[ {"FeatureName": "customer_id", "ValueAsString": "109382"}, {"FeatureName": "order_id", "ValueAsString": "ORD-002"}, {"FeatureName": "order_date", "ValueAsString": "2023-01-20"}, {"FeatureName": "product", "ValueAsString": "Smartphone"}, {"FeatureName": "quantity", "ValueAsString": "1"}, {"FeatureName": "amount", "ValueAsString": "899.99"}, {"FeatureName": "EventTime", "ValueAsString": "'${CURRENT_TIME}'"} ]' 2>&1) if echo "$ORDER2_RESPONSE" | grep -i "error" > /dev/null; then echo "Failed to ingest order 2 data: $ORDER2_RESPONSE" cleanup_resources exit 1 fi echo "$ORDER2_RESPONSE" # Retrieve records from feature groups echo "Retrieving records from feature groups..." # Get a single customer record echo "Getting customer record with ID 573291:" CUSTOMER_RECORD=$(aws sagemaker-featurestore-runtime get-record \ --feature-group-name "$CUSTOMERS_FEATURE_GROUP_NAME" \ --record-identifier-value-as-string "573291" 2>&1) if echo "$CUSTOMER_RECORD" | grep -i "error" > /dev/null; then echo "Failed to get customer record: $CUSTOMER_RECORD" cleanup_resources exit 1 fi echo "$CUSTOMER_RECORD" # Get multiple records using batch-get-record echo "Getting multiple records using batch-get-record:" BATCH_RECORDS=$(aws sagemaker-featurestore-runtime batch-get-record \ --identifiers '[ { "FeatureGroupName": "'${CUSTOMERS_FEATURE_GROUP_NAME}'", "RecordIdentifiersValueAsString": ["573291", "109382"] }, { "FeatureGroupName": "'${ORDERS_FEATURE_GROUP_NAME}'", "RecordIdentifiersValueAsString": ["573291", "109382"] } ]' 2>&1) if echo "$BATCH_RECORDS" | grep -i "error" > /dev/null && ! echo "$BATCH_RECORDS" | grep -i "Records" > /dev/null; then echo "Failed to get batch records: $BATCH_RECORDS" cleanup_resources exit 1 fi echo "$BATCH_RECORDS" # List feature groups echo "Listing feature groups:" FEATURE_GROUPS=$(aws sagemaker list-feature-groups 2>&1) if echo "$FEATURE_GROUPS" | grep -i "error" > /dev/null; then echo "Failed to list feature groups: $FEATURE_GROUPS" cleanup_resources exit 1 fi echo "$FEATURE_GROUPS" # Display summary of created resources echo "" echo "===========================================" echo "TUTORIAL COMPLETED SUCCESSFULLY!" echo "===========================================" echo "Resources created:" echo "- S3 Bucket: $S3_BUCKET_NAME" echo "- Customers Feature Group: $CUSTOMERS_FEATURE_GROUP_NAME" echo "- Orders Feature Group: $ORDERS_FEATURE_GROUP_NAME" if [[ " ${CREATED_RESOURCES[@]} " =~ " IAMRole:" ]]; then echo "- IAM Role: $(echo "${CREATED_RESOURCES[@]}" | grep -o 'IAMRole:[^[:space:]]*' | cut -d: -f2)" fi echo "" echo "You can now:" echo "1. View your feature groups in the SageMaker console" echo "2. Query the offline store using Amazon Athena" echo "3. Use the feature groups in your ML workflows" echo "===========================================" echo "" # Handle cleanup if [ "$AUTO_CLEANUP" = "y" ]; then echo "Auto-cleanup enabled. Starting cleanup..." cleanup_resources echo "Cleanup completed." elif [ "$AUTO_CLEANUP" = "n" ]; then echo "Auto-cleanup disabled. Resources will remain in your account." echo "To clean up later, run this script again with cleanup option 'y'" else echo "===========================================" echo "CLEANUP CONFIRMATION" echo "===========================================" echo "Do you want to clean up all created resources? (y/n): " read -r CLEANUP_CHOICE if [[ "$CLEANUP_CHOICE" =~ ^[Yy]$ ]]; then echo "Starting cleanup..." cleanup_resources echo "Cleanup completed." else echo "Skipping cleanup. Resources will remain in your account." echo "To clean up later, delete the following resources:" echo "- Feature Groups: $CUSTOMERS_FEATURE_GROUP_NAME, $ORDERS_FEATURE_GROUP_NAME" echo "- S3 Bucket: $S3_BUCKET_NAME" if [[ " ${CREATED_RESOURCES[@]} " =~ " IAMRole:" ]]; then echo "- IAM Role: $(echo "${CREATED_RESOURCES[@]}" | grep -o 'IAMRole:[^[:space:]]*' | cut -d: -f2)" fi echo "" echo "Estimated ongoing cost: ~$0.01 per month for online store" fi fi echo "Script completed at $(date)"