Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich.

# Erste Schritte mit dem Glue-Datenkatalog
<a name="example_glue_GettingStarted_024_section"></a>

Wie das aussehen kann, sehen Sie am nachfolgenden Beispielcode:
+ Erstellen einer Datenbank.
+ Erstellen einer Tabelle
+ Bereinigen von Ressourcen

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

**AWS CLI mit Bash-Skript**  
 Es gibt noch mehr dazu. GitHub Hier finden Sie das vollständige Beispiel und erfahren, wie Sie es im [Tutorials und Beispiele](https://github.com/aws-samples/sample-developer-tutorials/tree/main/tuts/024-glue-gs)-Repository für Entwickler einrichten und ausführen. 

```
#!/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)"
```
+ Weitere API-Informationen finden Sie in den folgenden Themen der *AWS CLI -Befehlsreferenz*.
  + [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)

------

Eine vollständige Liste der AWS SDK-Entwicklerhandbücher und Codebeispiele finden Sie unter[Verwenden dieses Dienstes mit einem AWS SDK](sdk-general-information-section.md). Dieses Thema enthält auch Informationen zu den ersten Schritten und Details zu früheren SDK-Versionen.