There are more AWS SDK examples available in the [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub repo.

# AWS Glue examples using AWS CLI with Bash script
<a name="bash_2_glue_code_examples"></a>

The following code examples show you how to perform actions and implement common scenarios by using the AWS Command Line Interface with Bash script with AWS Glue.

*Scenarios* are code examples that show you how to accomplish specific tasks by calling multiple functions within a service or combined with other AWS services.

Each example includes a link to the complete source code, where you can find instructions on how to set up and run the code in context.

**Topics**
+ [Scenarios](#scenarios)

## Scenarios
<a name="scenarios"></a>

### Getting started with the Glue Data Catalog
<a name="glue_GettingStarted_024_bash_2_topic"></a>

The following code example shows how to:
+ Create a database
+ Create a table
+ Clean up resources

**AWS CLI with Bash script**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [Sample developer tutorials](https://github.com/aws-samples/sample-developer-tutorials/tree/main/tuts/024-glue-gs) repository. 

```
#!/bin/bash

# AWS Glue Data Catalog Tutorial Script
# This script demonstrates how to create and manage AWS Glue Data Catalog resources using the AWS CLI
# Cost improvements: Reduced API calls, optimized queries, eliminated redundant operations
# Reliability improvements: Enhanced error handling, input validation, resource tracking

set -euo pipefail

# Setup logging
LOG_FILE="glue-tutorial-$(date +%Y%m%d-%H%M%S).log"
exec > >(tee -a "$LOG_FILE") 2>&1

echo "Starting AWS Glue Data Catalog tutorial script at $(date)"
echo "All operations will be logged to $LOG_FILE"

# Generate a unique identifier for resource names
UNIQUE_ID=$(openssl rand -hex 4)
DB_NAME="tutorial-db-${UNIQUE_ID}"
TABLE_NAME="flights-data-${UNIQUE_ID}"
TABLE_INPUT_FILE="table-input-${UNIQUE_ID}.json"

# Track created resources
declare -a CREATED_RESOURCES=()

# Set default region if not provided
AWS_REGION="${AWS_REGION:-us-east-1}"

# Flag to track if database was successfully created
DATABASE_CREATED=false

# Trap to ensure cleanup on exit
trap cleanup_resources EXIT

# Function to check command status
check_status() {
    if [ $? -ne 0 ]; then
        echo "ERROR: $1 failed." >&2
        exit 1
    fi
}

# Function to cleanup resources
cleanup_resources() {
    local exit_code=$?
    echo "Attempting to clean up resources..."
    
    # Delete resources 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 $resource_type in
            "table")
                if [ "$DATABASE_CREATED" = true ]; then
                    aws glue delete-table \
                        --database-name "$DB_NAME" \
                        --name "$resource_name" \
                        --region "$AWS_REGION" \
                        2>/dev/null || echo "Warning: Failed to delete table $resource_name"
                fi
                ;;
            "database")
                aws glue delete-database \
                    --name "$resource_name" \
                    --region "$AWS_REGION" \
                    2>/dev/null || echo "Warning: Failed to delete database $resource_name"
                ;;
            *)
                echo "Unknown resource type: $resource_type" >&2
                ;;
        esac
    done
    
    # Clean up temporary files securely
    if [ -f "$TABLE_INPUT_FILE" ]; then
        if command -v shred &> /dev/null; then
            shred -vfz -n 3 "$TABLE_INPUT_FILE" 2>/dev/null || rm -f "$TABLE_INPUT_FILE"
        else
            rm -f "$TABLE_INPUT_FILE"
        fi
    fi
    
    echo "Cleanup completed."
    exit $exit_code
}

# Function to validate prerequisites
validate_prerequisites() {
    # Validate AWS CLI is available
    if ! command -v aws &> /dev/null; then
        echo "ERROR: AWS CLI is not installed or not in PATH" >&2
        exit 1
    fi

    # Validate AWS CLI version
    local AWS_CLI_VERSION
    AWS_CLI_VERSION=$(aws --version 2>&1 | cut -d' ' -f1 | cut -d'/' -f2 | cut -d'.' -f1)
    if [ "$AWS_CLI_VERSION" -lt 1 ]; then
        echo "ERROR: AWS CLI is required" >&2
        exit 1
    fi

    # Validate jq is available for JSON validation
    if ! command -v jq &> /dev/null; then
        echo "ERROR: jq is not installed or not in PATH" >&2
        exit 1
    fi

    # Validate AWS credentials and get account identity in single call (cost optimization)
    local CALLER_IDENTITY
    CALLER_IDENTITY=$(aws sts get-caller-identity --region "$AWS_REGION" --query 'Account' --output text 2>/dev/null) || {
        echo "ERROR: Failed to get AWS caller identity. Check credentials and permissions." >&2
        exit 1
    }
    
    if [ -z "$CALLER_IDENTITY" ] || [ "$CALLER_IDENTITY" == "None" ]; then
        echo "ERROR: Unable to determine AWS account identity" >&2
        exit 1
    fi
    echo "Using AWS Account: $CALLER_IDENTITY"
    echo "Using Region: $AWS_REGION"
}

# Function to create database with verification
create_database() {
    echo "Step 1: Creating a database named $DB_NAME"
    
    if ! aws glue create-database \
        --database-input "Name=$DB_NAME,Description=Database for AWS Glue tutorial" \
        --region "$AWS_REGION" \
        --output json > /dev/null 2>&1; then
        echo "ERROR: Failed to create database $DB_NAME" >&2
        exit 1
    fi
    
    DATABASE_CREATED=true
    CREATED_RESOURCES+=("database:$DB_NAME")
    echo "Database $DB_NAME created successfully."
}

# Function to prepare table input JSON
prepare_table_input() {
    # Create a temporary JSON file for table input with restricted permissions
    if ! touch "$TABLE_INPUT_FILE" 2>/dev/null; then
        echo "ERROR: Failed to create temporary file $TABLE_INPUT_FILE" >&2
        exit 1
    fi
    
    if ! chmod 600 "$TABLE_INPUT_FILE" 2>/dev/null; then
        echo "ERROR: Failed to set permissions on $TABLE_INPUT_FILE" >&2
        rm -f "$TABLE_INPUT_FILE"
        exit 1
    fi

    cat > "$TABLE_INPUT_FILE" << 'EOF'
{
  "Name": "TABLE_NAME_PLACEHOLDER",
  "StorageDescriptor": {
    "Columns": [
      {
        "Name": "year",
        "Type": "bigint"
      },
      {
        "Name": "quarter",
        "Type": "bigint"
      }
    ],
    "Location": "s3://crawler-public-us-west-2/flight/2016/csv",
    "InputFormat": "org.apache.hadoop.mapred.TextInputFormat",
    "OutputFormat": "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat",
    "Compressed": false,
    "NumberOfBuckets": -1,
    "SerdeInfo": {
      "SerializationLibrary": "org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe",
      "Parameters": {
        "field.delim": ",",
        "serialization.format": ","
      }
    }
  },
  "PartitionKeys": [
    {
      "Name": "mon",
      "Type": "string"
    }
  ],
  "TableType": "EXTERNAL_TABLE",
  "Parameters": {
    "EXTERNAL": "TRUE",
    "classification": "csv",
    "columnsOrdered": "true",
    "compressionType": "none",
    "delimiter": ",",
    "skip.header.line.count": "1",
    "typeOfData": "file"
  }
}
EOF

    # Replace placeholder with actual table name
    if ! sed -i "s/TABLE_NAME_PLACEHOLDER/$TABLE_NAME/g" "$TABLE_INPUT_FILE" 2>/dev/null; then
        echo "ERROR: Failed to substitute table name in JSON file" >&2
        rm -f "$TABLE_INPUT_FILE"
        exit 1
    fi

    # Validate JSON syntax before using it
    if ! jq empty "$TABLE_INPUT_FILE" 2>/dev/null; then
        echo "ERROR: Invalid JSON in table input file" >&2
        rm -f "$TABLE_INPUT_FILE"
        exit 1
    fi
}

# Function to create table
create_table() {
    echo "Step 2: Creating a table named $TABLE_NAME in database $DB_NAME"

    prepare_table_input

    if ! aws glue create-table \
        --database-name "$DB_NAME" \
        --table-input "file://${TABLE_INPUT_FILE}" \
        --region "$AWS_REGION" \
        --output json > /dev/null 2>&1; then
        echo "ERROR: Failed to create table $TABLE_NAME" >&2
        rm -f "$TABLE_INPUT_FILE"
        exit 1
    fi
    
    CREATED_RESOURCES+=("table:$TABLE_NAME")
    echo "Table $TABLE_NAME created successfully."
}

# Function to get and display table details
display_table_details() {
    echo "Step 3: Getting details of table $TABLE_NAME"
    
    if ! aws glue get-table \
        --database-name "$DB_NAME" \
        --name "$TABLE_NAME" \
        --region "$AWS_REGION" \
        --output json; then
        echo "ERROR: Failed to retrieve table details" >&2
        exit 1
    fi
}

# Function to display summary
display_summary() {
    echo ""
    echo "==========================================="
    echo "RESOURCES CREATED"
    echo "==========================================="
    echo "Database: $DB_NAME"
    echo "Table: $TABLE_NAME"
    echo "==========================================="
}

# Main execution flow
validate_prerequisites
create_database
create_table
display_table_details
display_summary

echo ""
echo "==========================================="
echo "CLEANUP CONFIRMATION"
echo "==========================================="
echo "Starting cleanup process..."

echo "Script completed at $(date)"
```
+ For API details, see the following topics in *AWS CLI Command Reference*.
  + [CreateDatabase](https://docs.aws.amazon.com/goto/aws-cli/glue-2017-03-31/CreateDatabase)
  + [CreateTable](https://docs.aws.amazon.com/goto/aws-cli/glue-2017-03-31/CreateTable)
  + [DeleteDatabase](https://docs.aws.amazon.com/goto/aws-cli/glue-2017-03-31/DeleteDatabase)
  + [DeleteTable](https://docs.aws.amazon.com/goto/aws-cli/glue-2017-03-31/DeleteTable)
  + [GetDatabase](https://docs.aws.amazon.com/goto/aws-cli/glue-2017-03-31/GetDatabase)
  + [GetTable](https://docs.aws.amazon.com/goto/aws-cli/glue-2017-03-31/GetTable)