Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra.

# Commencer à utiliser le catalogue de données Glue
<a name="example_glue_GettingStarted_024_section"></a>

L’exemple de code suivant illustre comment :
+ Créer une base de données
+ Création d’une table
+ nettoyer des ressources ;

------
#### [ Bash ]

**AWS CLI avec le script Bash**  
 Il y en a plus sur GitHub. Trouvez l’exemple complet et découvrez comment le configurer et l’exécuter dans le [référentiel d’exemples de code](https://github.com/aws-samples/sample-developer-tutorials/tree/main/tuts/024-glue-gs). 

```
#!/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

# 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=$(LC_ALL=C tr -dc 'a-z0-9' < /dev/urandom | head -c 8)
DB_NAME="tutorial-db-${UNIQUE_ID}"
TABLE_NAME="flights-data-${UNIQUE_ID}"

# Track created resources
CREATED_RESOURCES=()

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

# Function to cleanup resources
cleanup_resources() {
    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 $resource_type in
            "table")
                aws glue delete-table --database-name "$DB_NAME" --name "$resource_name"
                ;;
            "database")
                aws glue delete-database --name "$resource_name"
                ;;
            *)
                echo "Unknown resource type: $resource_type"
                ;;
        esac
    done
    
    echo "Cleanup completed."
}

# Step 1: Create a database
echo "Step 1: Creating a database named $DB_NAME"
aws glue create-database --database-input "{\"Name\":\"$DB_NAME\",\"Description\":\"Database for AWS Glue tutorial\"}"
check_status "Creating database"
CREATED_RESOURCES+=("database:$DB_NAME")
echo "Database $DB_NAME created successfully."

# Verify the database was created
echo "Verifying database creation..."
DB_VERIFY=$(aws glue get-database --name "$DB_NAME" --query 'Database.Name' --output text)
check_status "Verifying database"

if [ "$DB_VERIFY" != "$DB_NAME" ]; then
    echo "ERROR: Database verification failed. Expected $DB_NAME but got $DB_VERIFY"
    cleanup_resources
    exit 1
fi
echo "Database verification successful."

# Step 2: Create a table
echo "Step 2: Creating a table named $TABLE_NAME in database $DB_NAME"

# Create a temporary JSON file for table input
TABLE_INPUT_FILE="table-input-${UNIQUE_ID}.json"
cat > "$TABLE_INPUT_FILE" << EOF
{
  "Name": "$TABLE_NAME",
  "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

aws glue create-table --database-name "$DB_NAME" --table-input file://"$TABLE_INPUT_FILE"
check_status "Creating table"
CREATED_RESOURCES+=("table:$TABLE_NAME")
echo "Table $TABLE_NAME created successfully."

# Clean up the temporary file
rm -f "$TABLE_INPUT_FILE"

# Verify the table was created
echo "Verifying table creation..."
TABLE_VERIFY=$(aws glue get-table --database-name "$DB_NAME" --name "$TABLE_NAME" --query 'Table.Name' --output text)
check_status "Verifying table"

if [ "$TABLE_VERIFY" != "$TABLE_NAME" ]; then
    echo "ERROR: Table verification failed. Expected $TABLE_NAME but got $TABLE_VERIFY"
    cleanup_resources
    exit 1
fi
echo "Table verification successful."

# Step 3: Get table details
echo "Step 3: Getting details of table $TABLE_NAME"
aws glue get-table --database-name "$DB_NAME" --name "$TABLE_NAME"
check_status "Getting table details"

# Display created resources
echo ""
echo "==========================================="
echo "RESOURCES CREATED"
echo "==========================================="
echo "Database: $DB_NAME"
echo "Table: $TABLE_NAME"
echo "==========================================="

# Prompt for cleanup
echo ""
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 process..."
    cleanup_resources
else
    echo "Skipping cleanup. Resources will remain in your account."
    echo "To clean up manually, run the following commands:"
    echo "aws glue delete-table --database-name $DB_NAME --name $TABLE_NAME"
    echo "aws glue delete-database --name $DB_NAME"
fi

echo "Script completed at $(date)"
```
+ Pour plus de détails sur l’API, consultez les rubriques suivantes dans la *Référence des commandes de l’AWS CLI *.
  + [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)

------

Pour obtenir la liste complète des guides de développement du AWS SDK et des exemples de code, consultez[Utilisation de ce service avec un AWS SDK](sdk-general-information-section.md). Cette rubrique comprend également des informations sur le démarrage et sur les versions précédentes du kit SDK.