使用 Amazon SDK 创建 DynamoDB 表

        /// <summary>
        /// Creates a new Amazon DynamoDB table and then waits for the new
        /// table to become active.
        /// </summary>
        /// <param name="client">An initialized Amazon DynamoDB client object.</param>
        /// <param name="tableName">The name of the table to create.</param>
        /// <returns>A Boolean value indicating the success of the operation.</returns>
        public static async Task<bool> CreateMovieTableAsync(AmazonDynamoDBClient client, string tableName)
        {
            var response = await client.CreateTableAsync(new CreateTableRequest
            {
                TableName = tableName,
                AttributeDefinitions = new List<AttributeDefinition>()
                {
                    new AttributeDefinition
                    {
                        AttributeName = "title",
                        AttributeType = "S",
                    },
                    new AttributeDefinition
                    {
                        AttributeName = "year",
                        AttributeType = "N",
                    },
                },
                KeySchema = new List<KeySchemaElement>()
                {
                    new KeySchemaElement
                    {
                        AttributeName = "year",
                        KeyType = "HASH",
                    },
                    new KeySchemaElement
                    {
                        AttributeName = "title",
                        KeyType = "RANGE",
                    },
                },
                ProvisionedThroughput = new ProvisionedThroughput
                {
                    ReadCapacityUnits = 5,
                    WriteCapacityUnits = 5,
                },
            });

            // Wait until the table is ACTIVE and then report success.
            Console.Write("Waiting for table to become active...");

            var request = new DescribeTableRequest
            {
                TableName = response.TableDescription.TableName,
            };

            TableStatus status;

            int sleepDuration = 2000;

            do
            {
                System.Threading.Thread.Sleep(sleepDuration);

                var describeTableResponse = await client.DescribeTableAsync(request);
                status = describeTableResponse.Table.TableStatus;

                Console.Write(".");
            }
            while (status != "ACTIVE");

            return status == TableStatus.ACTIVE;
        }

//! Create an Amazon DynamoDB table.
/*!
  \sa createTable()
  \param tableName: Name for the DynamoDB table.
  \param primaryKey: Primary key for the DynamoDB table.
  \param clientConfiguration: AWS client configuration.
  \return bool: Function succeeded.
 */
bool AwsDoc::DynamoDB::createTable(const Aws::String &tableName,
                                   const Aws::String &primaryKey,
                                   const Aws::Client::ClientConfiguration &clientConfiguration) {
    Aws::DynamoDB::DynamoDBClient dynamoClient(clientConfiguration);

    std::cout << "Creating table " << tableName <<
              " with a simple primary key: \"" << primaryKey << "\"." << std::endl;

    Aws::DynamoDB::Model::CreateTableRequest request;

    Aws::DynamoDB::Model::AttributeDefinition hashKey;
    hashKey.SetAttributeName(primaryKey);
    hashKey.SetAttributeType(Aws::DynamoDB::Model::ScalarAttributeType::S);
    request.AddAttributeDefinitions(hashKey);

    Aws::DynamoDB::Model::KeySchemaElement keySchemaElement;
    keySchemaElement.WithAttributeName(primaryKey).WithKeyType(
            Aws::DynamoDB::Model::KeyType::HASH);
    request.AddKeySchema(keySchemaElement);

    Aws::DynamoDB::Model::ProvisionedThroughput throughput;
    throughput.WithReadCapacityUnits(5).WithWriteCapacityUnits(5);
    request.SetProvisionedThroughput(throughput);
    request.SetTableName(tableName);

    const Aws::DynamoDB::Model::CreateTableOutcome &outcome = dynamoClient.CreateTable(
            request);
    if (outcome.IsSuccess()) {
        std::cout << "Table \""
                  << outcome.GetResult().GetTableDescription().GetTableName() <<
                  " created!" << std::endl;
    }
    else {
        std::cerr << "Failed to create table: " << outcome.GetError().GetMessage()
                  << std::endl;
    }

    return outcome.IsSuccess();
}

// TableBasics encapsulates the Amazon DynamoDB service actions used in the examples.
// It contains a DynamoDB service client that is used to act on the specified table.
type TableBasics struct {
	DynamoDbClient *dynamodb.Client
	TableName      string
}



// CreateMovieTable creates a DynamoDB table with a composite primary key defined as
// a string sort key named `title`, and a numeric partition key named `year`.
// This function uses NewTableExistsWaiter to wait for the table to be created by
// DynamoDB before it returns.
func (basics TableBasics) CreateMovieTable() (*types.TableDescription, error) {
	var tableDesc *types.TableDescription
	table, err := basics.DynamoDbClient.CreateTable(context.TODO(), &dynamodb.CreateTableInput{
		AttributeDefinitions: []types.AttributeDefinition{{
			AttributeName: aws.String("year"),
			AttributeType: types.ScalarAttributeTypeN,
		}, {
			AttributeName: aws.String("title"),
			AttributeType: types.ScalarAttributeTypeS,
		}},
		KeySchema: []types.KeySchemaElement{{
			AttributeName: aws.String("year"),
			KeyType:       types.KeyTypeHash,
		}, {
			AttributeName: aws.String("title"),
			KeyType:       types.KeyTypeRange,
		}},
		TableName: aws.String(basics.TableName),
		ProvisionedThroughput: &types.ProvisionedThroughput{
			ReadCapacityUnits:  aws.Int64(10),
			WriteCapacityUnits: aws.Int64(10),
		},
	})
	if err != nil {
		log.Printf("Couldn't create table %v. Here's why: %v\n", basics.TableName, err)
	} else {
		waiter := dynamodb.NewTableExistsWaiter(basics.DynamoDbClient)
		err = waiter.Wait(context.TODO(), &dynamodb.DescribeTableInput{
			TableName: aws.String(basics.TableName)}, 5*time.Minute)
		if err != nil {
			log.Printf("Wait for table exists failed. Here's why: %v\n", err)
		}
		tableDesc = table.TableDescription
	}
	return tableDesc, err
}

    public static String createTable(DynamoDbClient ddb, String tableName, String key) {
        DynamoDbWaiter dbWaiter = ddb.waiter();
        CreateTableRequest request = CreateTableRequest.builder()
            .attributeDefinitions(AttributeDefinition.builder()
                .attributeName(key)
                .attributeType(ScalarAttributeType.S)
                .build())
            .keySchema(KeySchemaElement.builder()
                .attributeName(key)
                .keyType(KeyType.HASH)
                .build())
            .provisionedThroughput(ProvisionedThroughput.builder()
                .readCapacityUnits(new Long(10))
                .writeCapacityUnits(new Long(10))
                .build())
            .tableName(tableName)
            .build();

        String newTable ="";
        try {
            CreateTableResponse response = ddb.createTable(request);
            DescribeTableRequest tableRequest = DescribeTableRequest.builder()
                .tableName(tableName)
                .build();

            // Wait until the Amazon DynamoDB table is created.
            WaiterResponse<DescribeTableResponse> waiterResponse = dbWaiter.waitUntilTableExists(tableRequest);
            waiterResponse.matched().response().ifPresent(System.out::println);
            newTable = response.tableDescription().tableName();
            return newTable;

        } catch (DynamoDbException e) {
            System.err.println(e.getMessage());
            System.exit(1);
        }
       return "";
    }

创建客户端。

// Create service client module using ES6 syntax.
import { DynamoDBClient } from "@aws-sdk/client-dynamodb";
// Set the AWS Region.
const REGION = "REGION"; //e.g. "us-east-1"
// Create an Amazon DynamoDB service client object.
const ddbClient = new DynamoDBClient({ region: REGION });
export { ddbClient };

创建 表。

// Import required AWS SDK clients and commands for Node.js
import { CreateTableCommand } from "@aws-sdk/client-dynamodb";
import { ddbClient } from "./libs/ddbClient.js";

// Set the parameters
export const params = {
  AttributeDefinitions: [
    {
      AttributeName: "Season", //ATTRIBUTE_NAME_1
      AttributeType: "N", //ATTRIBUTE_TYPE
    },
    {
      AttributeName: "Episode", //ATTRIBUTE_NAME_2
      AttributeType: "N", //ATTRIBUTE_TYPE
    },
  ],
  KeySchema: [
    {
      AttributeName: "Season", //ATTRIBUTE_NAME_1
      KeyType: "HASH",
    },
    {
      AttributeName: "Episode", //ATTRIBUTE_NAME_2
      KeyType: "RANGE",
    },
  ],
  ProvisionedThroughput: {
    ReadCapacityUnits: 1,
    WriteCapacityUnits: 1,
  },
  TableName: "TEST_TABLE", //TABLE_NAME
  StreamSpecification: {
    StreamEnabled: false,
  },
};

export const run = async () => {
  try {
    const data = await ddbClient.send(new CreateTableCommand(params));
    console.log("Table Created", data);
    return data;
  } catch (err) {
    console.log("Error", err);
  }
};
run();

// Load the AWS SDK for Node.js
var AWS = require('aws-sdk');
// Set the region 
AWS.config.update({region: 'REGION'});

// Create the DynamoDB service object
var ddb = new AWS.DynamoDB({apiVersion: '2012-08-10'});

var params = {
  AttributeDefinitions: [
    {
      AttributeName: 'CUSTOMER_ID',
      AttributeType: 'N'
    },
    {
      AttributeName: 'CUSTOMER_NAME',
      AttributeType: 'S'
    }
  ],
  KeySchema: [
    {
      AttributeName: 'CUSTOMER_ID',
      KeyType: 'HASH'
    },
    {
      AttributeName: 'CUSTOMER_NAME',
      KeyType: 'RANGE'
    }
  ],
  ProvisionedThroughput: {
    ReadCapacityUnits: 1,
    WriteCapacityUnits: 1
  },
  TableName: 'CUSTOMER_LIST',
  StreamSpecification: {
    StreamEnabled: false
  }
};

// Call DynamoDB to create the table
ddb.createTable(params, function(err, data) {
  if (err) {
    console.log("Error", err);
  } else {
    console.log("Table Created", data);
  }
});

suspend fun createNewTable(tableNameVal: String, key: String): String? {

    val attDef = AttributeDefinition {
        attributeName = key
        attributeType = ScalarAttributeType.S
    }

    val keySchemaVal = KeySchemaElement {
        attributeName = key
        keyType = KeyType.Hash
    }

    val provisionedVal = ProvisionedThroughput {
        readCapacityUnits = 10
        writeCapacityUnits = 10
    }

    val request = CreateTableRequest {
        attributeDefinitions = listOf(attDef)
        keySchema = listOf(keySchemaVal)
        provisionedThroughput = provisionedVal
        tableName = tableNameVal
    }

    DynamoDbClient { region = "us-east-1" }.use { ddb ->

        var tableArn: String
        val response = ddb.createTable(request)
        ddb.waitUntilTableExists { // suspend call
            tableName = tableNameVal
        }
        tableArn = response.tableDescription!!.tableArn.toString()
        println("Table $tableArn is ready")
        return tableArn
    }
}

创建 表。

        $tableName = "ddb_demo_table_$uuid";
        $service->createTable(
            $tableName,
            [
                new DynamoDBAttribute('year', 'N', 'HASH'),
                new DynamoDBAttribute('title', 'S', 'RANGE')
            ]
        );

    public function createTable(string $tableName, array $attributes)
    {
        $keySchema = [];
        $attributeDefinitions = [];
        foreach ($attributes as $attribute) {
            if (is_a($attribute, DynamoDBAttribute::class)) {
                $keySchema[] = ['AttributeName' => $attribute->AttributeName, 'KeyType' => $attribute->KeyType];
                $attributeDefinitions[] =
                    ['AttributeName' => $attribute->AttributeName, 'AttributeType' => $attribute->AttributeType];
            }
        }

        $this->dynamoDbClient->createTable([
            'TableName' => $tableName,
            'KeySchema' => $keySchema,
            'AttributeDefinitions' => $attributeDefinitions,
            'ProvisionedThroughput' => ['ReadCapacityUnits' => 10, 'WriteCapacityUnits' => 10],
        ]);
    }

创建用于存储电影数据的表。

class Movies:
    """Encapsulates an Amazon DynamoDB table of movie data."""
    def __init__(self, dyn_resource):
        """
        :param dyn_resource: A Boto3 DynamoDB resource.
        """
        self.dyn_resource = dyn_resource
        self.table = None

    def create_table(self, table_name):
        """
        Creates an Amazon DynamoDB table that can be used to store movie data.
        The table uses the release year of the movie as the partition key and the
        title as the sort key.

        :param table_name: The name of the table to create.
        :return: The newly created table.
        """
        try:
            self.table = self.dyn_resource.create_table(
                TableName=table_name,
                KeySchema=[
                    {'AttributeName': 'year', 'KeyType': 'HASH'},  # Partition key
                    {'AttributeName': 'title', 'KeyType': 'RANGE'}  # Sort key
                ],
                AttributeDefinitions=[
                    {'AttributeName': 'year', 'AttributeType': 'N'},
                    {'AttributeName': 'title', 'AttributeType': 'S'}
                ],
                ProvisionedThroughput={'ReadCapacityUnits': 10, 'WriteCapacityUnits': 10})
            self.table.wait_until_exists()
        except ClientError as err:
            logger.error(
                "Couldn't create table %s. Here's why: %s: %s", table_name,
                err.response['Error']['Code'], err.response['Error']['Message'])
            raise
        else:
            return self.table

  # Creates an Amazon DynamoDB table that can be used to store movie data.
  # The table uses the release year of the movie as the partition key and the
  # title as the sort key.
  #
  # @param table_name [String] The name of the table to create.
  # @return [Aws::DynamoDB::Table] The newly created table.
  def create_table(table_name)
    @table = @dynamo_resource.create_table(
      table_name: table_name,
      key_schema: [
        {attribute_name: "year", key_type: "HASH"},  # Partition key
        {attribute_name: "title", key_type: "RANGE"}  # Sort key
      ],
      attribute_definitions: [
        {attribute_name: "year", attribute_type: "N"},
        {attribute_name: "title", attribute_type: "S"}
      ],
      provisioned_throughput: {read_capacity_units: 10, write_capacity_units: 10})
    @dynamo_resource.client.wait_until(:table_exists, table_name: table_name)
  rescue Aws::Errors::ServiceError => e
    puts("Couldn't create table #{table_name}. Here's why:")
    puts("\t#{e.code}: #{e.message}")
    raise
  else
    @table
  end

pub async fn create_table(
    client: &Client,
    table: &str,
    key: &str,
) -> Result<CreateTableOutput, Error> {
    let a_name: String = key.into();
    let table_name: String = table.into();

    let ad = AttributeDefinition::builder()
        .attribute_name(&a_name)
        .attribute_type(ScalarAttributeType::S)
        .build();

    let ks = KeySchemaElement::builder()
        .attribute_name(&a_name)
        .key_type(KeyType::Hash)
        .build();

    let pt = ProvisionedThroughput::builder()
        .read_capacity_units(10)
        .write_capacity_units(5)
        .build();

    let create_table_response = client
        .create_table()
        .table_name(table_name)
        .key_schema(ks)
        .attribute_definitions(ad)
        .provisioned_throughput(pt)
        .send()
        .await;

    match create_table_response {
        Ok(out) => {
            println!("Added table {} with key {}", table, key);
            Ok(out)
        }
        Err(e) => {
            eprintln!("Got an error creating table:");
            eprintln!("{}", e);
            Err(Error::unhandled(e))
        }
    }
}