Usar `CreateTable` com o AWS SDK ou a CLI

Os exemplos de código a seguir mostram como usar o CreateTable.

Exemplos de ações são trechos de código de programas maiores e devem ser executados em contexto. É possível ver essa ação em contexto nos seguintes exemplos de código:

.NET

AWS SDK for .NET

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no AWSCode Examples Repository.



        /// <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 = ScalarAttributeType.S,
                    },
                    new AttributeDefinition
                    {
                        AttributeName = "year",
                        AttributeType = ScalarAttributeType.N,
                    },
                },
                KeySchema = new List<KeySchemaElement>()
                {
                    new KeySchemaElement
                    {
                        AttributeName = "year",
                        KeyType = KeyType.HASH,
                    },
                    new KeySchemaElement
                    {
                        AttributeName = "title",
                        KeyType = 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;
        }

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK for .NET.

Bash

AWS CLI com script Bash

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


###############################################################################
# function dynamodb_create_table
#
# This function creates an Amazon DynamoDB table.
#
# Parameters:
#       -n table_name  -- The name of the table to create.
#       -a attribute_definitions -- JSON file path of a list of attributes and their types.
#       -k key_schema -- JSON file path of a list of attributes and their key types.
#       -p provisioned_throughput -- Provisioned throughput settings for the table.
#
#  Returns:
#       0 - If successful.
#       1 - If it fails.
###############################################################################
function dynamodb_create_table() {
  local table_name attribute_definitions key_schema provisioned_throughput response
  local option OPTARG # Required to use getopts command in a function.

  #######################################
  # Function usage explanation
  #######################################
  function usage() {
    echo "function dynamodb_create_table"
    echo "Creates an Amazon DynamoDB table."
    echo " -n table_name  -- The name of the table to create."
    echo " -a attribute_definitions -- JSON file path of a list of attributes and their types."
    echo " -k key_schema -- JSON file path of a list of attributes and their key types."
    echo " -p provisioned_throughput -- Provisioned throughput settings for the table."
    echo ""
  }

  # Retrieve the calling parameters.
  while getopts "n:a:k:p:h" option; do
    case "${option}" in
      n) table_name="${OPTARG}" ;;
      a) attribute_definitions="${OPTARG}" ;;
      k) key_schema="${OPTARG}" ;;
      p) provisioned_throughput="${OPTARG}" ;;
      h)
        usage
        return 0
        ;;
      \?)
        echo "Invalid parameter"
        usage
        return 1
        ;;
    esac
  done
  export OPTIND=1

  if [[ -z "$table_name" ]]; then
    errecho "ERROR: You must provide a table name with the -n parameter."
    usage
    return 1
  fi

  if [[ -z "$attribute_definitions" ]]; then
    errecho "ERROR: You must provide an attribute definitions json file path the -a parameter."
    usage
    return 1
  fi

  if [[ -z "$key_schema" ]]; then
    errecho "ERROR: You must provide a key schema json file path the -k parameter."
    usage
    return 1
  fi

  if [[ -z "$provisioned_throughput" ]]; then
    errecho "ERROR: You must provide a provisioned throughput json file path the -p parameter."
    usage
    return 1
  fi

  iecho "Parameters:\n"
  iecho "    table_name:   $table_name"
  iecho "    attribute_definitions:   $attribute_definitions"
  iecho "    key_schema:   $key_schema"
  iecho "    provisioned_throughput:   $provisioned_throughput"
  iecho ""

  response=$(aws dynamodb create-table \
    --table-name "$table_name" \
    --attribute-definitions file://"$attribute_definitions" \
    --key-schema file://"$key_schema" \
    --provisioned-throughput "$provisioned_throughput")

  local error_code=${?}

  if [[ $error_code -ne 0 ]]; then
    aws_cli_error_log $error_code
    errecho "ERROR: AWS reports create-table operation failed.$response"
    return 1
  fi

  return 0
}

As funções utilitárias usadas neste exemplo.


###############################################################################
# function iecho
#
# This function enables the script to display the specified text only if
# the global variable $VERBOSE is set to true.
###############################################################################
function iecho() {
  if [[ $VERBOSE == true ]]; then
    echo "$@"
  fi
}

###############################################################################
# function errecho
#
# This function outputs everything sent to it to STDERR (standard error output).
###############################################################################
function errecho() {
  printf "%s\n" "$*" 1>&2
}

##############################################################################
# function aws_cli_error_log()
#
# This function is used to log the error messages from the AWS CLI.
#
# See https://docs.aws.amazon.com/cli/latest/topic/return-codes.html#cli-aws-help-return-codes.
#
# The function expects the following argument:
#         $1 - The error code returned by the AWS CLI.
#
#  Returns:
#          0: - Success.
#
##############################################################################
function aws_cli_error_log() {
  local err_code=$1
  errecho "Error code : $err_code"
  if [ "$err_code" == 1 ]; then
    errecho "  One or more S3 transfers failed."
  elif [ "$err_code" == 2 ]; then
    errecho "  Command line failed to parse."
  elif [ "$err_code" == 130 ]; then
    errecho "  Process received SIGINT."
  elif [ "$err_code" == 252 ]; then
    errecho "  Command syntax invalid."
  elif [ "$err_code" == 253 ]; then
    errecho "  The system environment or configuration was invalid."
  elif [ "$err_code" == 254 ]; then
    errecho "  The service returned an error."
  elif [ "$err_code" == 255 ]; then
    errecho "  255 is a catch-all error."
  fi

  return 0
}

Para obter detalhes da API, consulte CreateTable na Referência de comandos da AWS CLI.

C++

SDK para C++

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


//! 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();
}

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK for C++.

CLI

AWS CLI

Exemplo 1: como criar uma tabela com tags

O exemplo de create-table a seguir usa os atributos especificados e o esquema de chaves para criar uma tabela chamada MusicCollection. Essa tabela usa um throughput provisionado e é criptografada em repouso usando a CMK de propriedade padrão da AWS. O comando também aplica uma tag à tabela, com uma chave Owner e valor de blueTeam.


aws dynamodb create-table \
    --table-name MusicCollection \
    --attribute-definitions AttributeName=Artist,AttributeType=S AttributeName=SongTitle,AttributeType=S \
    --key-schema AttributeName=Artist,KeyType=HASH AttributeName=SongTitle,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5 \
    --tags Key=Owner,Value=blueTeam

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "Artist",
                "AttributeType": "S"
            },
            {
                "AttributeName": "SongTitle",
                "AttributeType": "S"
            }
        ],
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "WriteCapacityUnits": 5,
            "ReadCapacityUnits": 5
        },
        "TableSizeBytes": 0,
        "TableName": "MusicCollection",
        "TableStatus": "CREATING",
        "KeySchema": [
            {
                "KeyType": "HASH",
                "AttributeName": "Artist"
            },
            {
                "KeyType": "RANGE",
                "AttributeName": "SongTitle"
            }
        ],
        "ItemCount": 0,
        "CreationDateTime": "2020-05-26T16:04:41.627000-07:00",
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111"
    }
}

Para obter mais informações, consulte Operações básicas nas tabelas no Guia do desenvolvedor do Amazon DynamoDB.

Exemplo 2: como criar uma tabela no modo sob demanda

O exemplo a seguir cria uma tabela chamada MusicCollection usando o modo sob demanda, em vez do modo de throughput provisionado. Esse método é útil para tabelas com workloads imprevisíveis.


aws dynamodb create-table \
    --table-name MusicCollection \
    --attribute-definitions AttributeName=Artist,AttributeType=S AttributeName=SongTitle,AttributeType=S \
    --key-schema AttributeName=Artist,KeyType=HASH AttributeName=SongTitle,KeyType=RANGE \
    --billing-mode PAY_PER_REQUEST

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "Artist",
                "AttributeType": "S"
            },
            {
                "AttributeName": "SongTitle",
                "AttributeType": "S"
            }
        ],
        "TableName": "MusicCollection",
        "KeySchema": [
            {
                "AttributeName": "Artist",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "SongTitle",
                "KeyType": "RANGE"
            }
        ],
        "TableStatus": "CREATING",
        "CreationDateTime": "2020-05-27T11:44:10.807000-07:00",
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "ReadCapacityUnits": 0,
            "WriteCapacityUnits": 0
        },
        "TableSizeBytes": 0,
        "ItemCount": 0,
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
        "BillingModeSummary": {
            "BillingMode": "PAY_PER_REQUEST"
        }
    }
}

Para obter mais informações, consulte Operações básicas nas tabelas no Guia do desenvolvedor do Amazon DynamoDB.

Exemplo 3: como criar uma tabela e criptografá-la com uma CMK gerenciada pelo cliente

O exemplo a seguir cria uma tabela chamada MusicCollection e a criptografa usando uma CMK gerenciada pelo cliente.


aws dynamodb create-table \
    --table-name MusicCollection \
    --attribute-definitions AttributeName=Artist,AttributeType=S AttributeName=SongTitle,AttributeType=S \
    --key-schema AttributeName=Artist,KeyType=HASH AttributeName=SongTitle,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5 \
    --sse-specification Enabled=true,SSEType=KMS,KMSMasterKeyId=abcd1234-abcd-1234-a123-ab1234a1b234

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "Artist",
                "AttributeType": "S"
            },
            {
                "AttributeName": "SongTitle",
                "AttributeType": "S"
            }
        ],
        "TableName": "MusicCollection",
        "KeySchema": [
            {
                "AttributeName": "Artist",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "SongTitle",
                "KeyType": "RANGE"
            }
        ],
        "TableStatus": "CREATING",
        "CreationDateTime": "2020-05-27T11:12:16.431000-07:00",
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "ReadCapacityUnits": 5,
            "WriteCapacityUnits": 5
        },
        "TableSizeBytes": 0,
        "ItemCount": 0,
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
        "SSEDescription": {
            "Status": "ENABLED",
            "SSEType": "KMS",
            "KMSMasterKeyArn": "arn:aws:kms:us-west-2:123456789012:key/abcd1234-abcd-1234-a123-ab1234a1b234"
        }
    }
}

Para obter mais informações, consulte Operações básicas nas tabelas no Guia do desenvolvedor do Amazon DynamoDB.

Exemplo 4: como criar uma tabela com um índice secundário local

O exemplo a seguir usa os atributos especificados e o esquema de chaves para criar uma tabela chamada MusicCollection com um índice secundário local chamado AlbumTitleIndex.


aws dynamodb create-table \
    --table-name MusicCollection \
    --attribute-definitions AttributeName=Artist,AttributeType=S AttributeName=SongTitle,AttributeType=S AttributeName=AlbumTitle,AttributeType=S \
    --key-schema AttributeName=Artist,KeyType=HASH AttributeName=SongTitle,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
    --local-secondary-indexes \
        "[
            {
                \"IndexName\": \"AlbumTitleIndex\",
                \"KeySchema\": [
                    {\"AttributeName\": \"Artist\",\"KeyType\":\"HASH\"},
                    {\"AttributeName\": \"AlbumTitle\",\"KeyType\":\"RANGE\"}
                ],
                \"Projection\": {
                    \"ProjectionType\": \"INCLUDE\",
                    \"NonKeyAttributes\": [\"Genre\", \"Year\"]
                }
            }
        ]"

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "AlbumTitle",
                "AttributeType": "S"
            },
            {
                "AttributeName": "Artist",
                "AttributeType": "S"
            },
            {
                "AttributeName": "SongTitle",
                "AttributeType": "S"
            }
        ],
        "TableName": "MusicCollection",
        "KeySchema": [
            {
                "AttributeName": "Artist",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "SongTitle",
                "KeyType": "RANGE"
            }
        ],
        "TableStatus": "CREATING",
        "CreationDateTime": "2020-05-26T15:59:49.473000-07:00",
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "ReadCapacityUnits": 10,
            "WriteCapacityUnits": 5
        },
        "TableSizeBytes": 0,
        "ItemCount": 0,
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
        "LocalSecondaryIndexes": [
            {
                "IndexName": "AlbumTitleIndex",
                "KeySchema": [
                    {
                        "AttributeName": "Artist",
                        "KeyType": "HASH"
                    },
                    {
                        "AttributeName": "AlbumTitle",
                        "KeyType": "RANGE"
                    }
                ],
                "Projection": {
                    "ProjectionType": "INCLUDE",
                    "NonKeyAttributes": [
                        "Genre",
                        "Year"
                    ]
                },
                "IndexSizeBytes": 0,
                "ItemCount": 0,
                "IndexArn": "arn:aws:dynamodb:us-west-2:123456789012:table/MusicCollection/index/AlbumTitleIndex"
            }
        ]
    }
}

Para obter mais informações, consulte Operações básicas nas tabelas no Guia do desenvolvedor do Amazon DynamoDB.

Exemplo 5: como criar uma tabela com um índice secundário global

O exemplo a seguir cria uma tabela chamada GameScores com um índice secundário global chamado GameTitleIndex. A tabela-base tem uma chave de partição UserId e uma chave de classificação GameTitle, permitindo que você encontre a melhor pontuação de um usuário individual para um jogo específico de forma eficiente, enquanto o GSI tem uma chave de partição GameTitle e uma chave de classificação TopScore, permitindo que você encontre rapidamente a pontuação mais alta geral para um jogo específico.


aws dynamodb create-table \
    --table-name GameScores \
    --attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S AttributeName=TopScore,AttributeType=N \
    --key-schema AttributeName=UserId,KeyType=HASH \
                AttributeName=GameTitle,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
    --global-secondary-indexes \
        "[
            {
                \"IndexName\": \"GameTitleIndex\",
                \"KeySchema\": [
                    {\"AttributeName\":\"GameTitle\",\"KeyType\":\"HASH\"},
                    {\"AttributeName\":\"TopScore\",\"KeyType\":\"RANGE\"}
                ],
                \"Projection\": {
                    \"ProjectionType\":\"INCLUDE\",
                    \"NonKeyAttributes\":[\"UserId\"]
                },
                \"ProvisionedThroughput\": {
                    \"ReadCapacityUnits\": 10,
                    \"WriteCapacityUnits\": 5
                }
            }
        ]"

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "GameTitle",
                "AttributeType": "S"
            },
            {
                "AttributeName": "TopScore",
                "AttributeType": "N"
            },
            {
                "AttributeName": "UserId",
                "AttributeType": "S"
            }
        ],
        "TableName": "GameScores",
        "KeySchema": [
            {
                "AttributeName": "UserId",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "GameTitle",
                "KeyType": "RANGE"
            }
        ],
        "TableStatus": "CREATING",
        "CreationDateTime": "2020-05-26T17:28:15.602000-07:00",
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "ReadCapacityUnits": 10,
            "WriteCapacityUnits": 5
        },
        "TableSizeBytes": 0,
        "ItemCount": 0,
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
        "GlobalSecondaryIndexes": [
            {
                "IndexName": "GameTitleIndex",
                "KeySchema": [
                    {
                        "AttributeName": "GameTitle",
                        "KeyType": "HASH"
                    },
                    {
                        "AttributeName": "TopScore",
                        "KeyType": "RANGE"
                    }
                ],
                "Projection": {
                    "ProjectionType": "INCLUDE",
                    "NonKeyAttributes": [
                        "UserId"
                    ]
                },
                "IndexStatus": "CREATING",
                "ProvisionedThroughput": {
                    "NumberOfDecreasesToday": 0,
                    "ReadCapacityUnits": 10,
                    "WriteCapacityUnits": 5
                },
                "IndexSizeBytes": 0,
                "ItemCount": 0,
                "IndexArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/index/GameTitleIndex"
            }
        ]
    }
}

Para obter mais informações, consulte Operações básicas nas tabelas no Guia do desenvolvedor do Amazon DynamoDB.

Exemplo 6: como criar uma tabela com vários índices secundários globais ao mesmo tempo

O exemplo a seguir cria uma tabela chamada GameScores com dos índices secundários globais. Os esquemas do GSI são passados por meio de um arquivo, e não pela linha de comando.


aws dynamodb create-table \
    --table-name GameScores \
    --attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S AttributeName=TopScore,AttributeType=N AttributeName=Date,AttributeType=S \
    --key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
    --global-secondary-indexes file://gsi.json

Conteúdo de gsi.json:


[
    {
        "IndexName": "GameTitleIndex",
        "KeySchema": [
            {
                "AttributeName": "GameTitle",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "TopScore",
                "KeyType": "RANGE"
            }
        ],
        "Projection": {
            "ProjectionType": "ALL"
        },
        "ProvisionedThroughput": {
            "ReadCapacityUnits": 10,
            "WriteCapacityUnits": 5
        }
    },
    {
        "IndexName": "GameDateIndex",
        "KeySchema": [
            {
                "AttributeName": "GameTitle",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "Date",
                "KeyType": "RANGE"
            }
        ],
        "Projection": {
            "ProjectionType": "ALL"
        },
        "ProvisionedThroughput": {
            "ReadCapacityUnits": 5,
            "WriteCapacityUnits": 5
        }
    }
]

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "Date",
                "AttributeType": "S"
            },
            {
                "AttributeName": "GameTitle",
                "AttributeType": "S"
            },
            {
                "AttributeName": "TopScore",
                "AttributeType": "N"
            },
            {
                "AttributeName": "UserId",
                "AttributeType": "S"
            }
        ],
        "TableName": "GameScores",
        "KeySchema": [
            {
                "AttributeName": "UserId",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "GameTitle",
                "KeyType": "RANGE"
            }
        ],
        "TableStatus": "CREATING",
        "CreationDateTime": "2020-08-04T16:40:55.524000-07:00",
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "ReadCapacityUnits": 10,
            "WriteCapacityUnits": 5
        },
        "TableSizeBytes": 0,
        "ItemCount": 0,
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
        "GlobalSecondaryIndexes": [
            {
                "IndexName": "GameTitleIndex",
                "KeySchema": [
                    {
                        "AttributeName": "GameTitle",
                        "KeyType": "HASH"
                    },
                    {
                        "AttributeName": "TopScore",
                        "KeyType": "RANGE"
                    }
                ],
                "Projection": {
                    "ProjectionType": "ALL"
                },
                "IndexStatus": "CREATING",
                "ProvisionedThroughput": {
                    "NumberOfDecreasesToday": 0,
                    "ReadCapacityUnits": 10,
                    "WriteCapacityUnits": 5
                },
                "IndexSizeBytes": 0,
                "ItemCount": 0,
                "IndexArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/index/GameTitleIndex"
            },
            {
                "IndexName": "GameDateIndex",
                "KeySchema": [
                    {
                        "AttributeName": "GameTitle",
                        "KeyType": "HASH"
                    },
                    {
                        "AttributeName": "Date",
                        "KeyType": "RANGE"
                    }
                ],
                "Projection": {
                    "ProjectionType": "ALL"
                },
                "IndexStatus": "CREATING",
                "ProvisionedThroughput": {
                    "NumberOfDecreasesToday": 0,
                    "ReadCapacityUnits": 5,
                    "WriteCapacityUnits": 5
                },
                "IndexSizeBytes": 0,
                "ItemCount": 0,
                "IndexArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/index/GameDateIndex"
            }
        ]
    }
}

Para obter mais informações, consulte Operações básicas nas tabelas no Guia do desenvolvedor do Amazon DynamoDB.

Exemplo 7: como criar uma tabela com o Streams habilitado

O exemplo a seguir cria uma tabela chamada GameScores com o DynamoDB Streams habilitado. Imagens novas e antigas de cada item serão gravadas no fluxo.


aws dynamodb create-table \
    --table-name GameScores \
    --attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S \
    --key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
    --stream-specification StreamEnabled=TRUE,StreamViewType=NEW_AND_OLD_IMAGES

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "GameTitle",
                "AttributeType": "S"
            },
            {
                "AttributeName": "UserId",
                "AttributeType": "S"
            }
        ],
        "TableName": "GameScores",
        "KeySchema": [
            {
                "AttributeName": "UserId",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "GameTitle",
                "KeyType": "RANGE"
            }
        ],
        "TableStatus": "CREATING",
        "CreationDateTime": "2020-05-27T10:49:34.056000-07:00",
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "ReadCapacityUnits": 10,
            "WriteCapacityUnits": 5
        },
        "TableSizeBytes": 0,
        "ItemCount": 0,
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
        "StreamSpecification": {
            "StreamEnabled": true,
            "StreamViewType": "NEW_AND_OLD_IMAGES"
        },
        "LatestStreamLabel": "2020-05-27T17:49:34.056",
        "LatestStreamArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/stream/2020-05-27T17:49:34.056"
    }
}

Para obter mais informações, consulte Operações básicas nas tabelas no Guia do desenvolvedor do Amazon DynamoDB.

Exemplo 8: como criar uma tabela com o fluxo somente de chaves habilitado

O exemplo a seguir cria uma tabela chamada GameScores com o DynamoDB Streams habilitado. Somente os atributos-chave dos itens modificados são gravados no fluxo.


aws dynamodb create-table \
    --table-name GameScores \
    --attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S \
    --key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
    --stream-specification StreamEnabled=TRUE,StreamViewType=KEYS_ONLY

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "GameTitle",
                "AttributeType": "S"
            },
            {
                "AttributeName": "UserId",
                "AttributeType": "S"
            }
        ],
        "TableName": "GameScores",
        "KeySchema": [
            {
                "AttributeName": "UserId",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "GameTitle",
                "KeyType": "RANGE"
            }
        ],
        "TableStatus": "CREATING",
        "CreationDateTime": "2023-05-25T18:45:34.140000+00:00",
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "ReadCapacityUnits": 10,
            "WriteCapacityUnits": 5
        },
        "TableSizeBytes": 0,
        "ItemCount": 0,
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
        "StreamSpecification": {
            "StreamEnabled": true,
            "StreamViewType": "KEYS_ONLY"
        },
        "LatestStreamLabel": "2023-05-25T18:45:34.140",
        "LatestStreamArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores/stream/2023-05-25T18:45:34.140",
        "DeletionProtectionEnabled": false
    }
}

Para obter mais informações, consulte Captura de dados de alterações com o Amazon DynamoDB no Guia do desenvolvedor do Amazon DynamoDB.

Exemplo 9: como criar uma tabela com a classe Standard-Infrequent Access

O exemplo a seguir cria uma tabela chamada GameScores e atribui a classe de tabela Standard-Infrequent Access (DynamoDB Standard-IA). Essa classe de tabela é otimizada para que o armazenamento seja o custo dominante.


aws dynamodb create-table \
    --table-name GameScores \
    --attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S \
    --key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
    --table-class STANDARD_INFREQUENT_ACCESS

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "GameTitle",
                "AttributeType": "S"
            },
            {
                "AttributeName": "UserId",
                "AttributeType": "S"
            }
        ],
        "TableName": "GameScores",
        "KeySchema": [
            {
                "AttributeName": "UserId",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "GameTitle",
                "KeyType": "RANGE"
            }
        ],
        "TableStatus": "CREATING",
        "CreationDateTime": "2023-05-25T18:33:07.581000+00:00",
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "ReadCapacityUnits": 10,
            "WriteCapacityUnits": 5
        },
        "TableSizeBytes": 0,
        "ItemCount": 0,
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
        "TableClassSummary": {
            "TableClass": "STANDARD_INFREQUENT_ACCESS"
        },
        "DeletionProtectionEnabled": false
    }
}

Para obter mais informações, consulte Classes de tabela no Guia do desenvolvedor do Amazon DynamoDB.

Exemplo 10: como criar uma tabela com a proteção contra exclusão habilitada

O exemplo a seguir cria uma tabela chamada GameScores e habilita a proteção contra exclusão.


aws dynamodb create-table \
    --table-name GameScores \
    --attribute-definitions AttributeName=UserId,AttributeType=S AttributeName=GameTitle,AttributeType=S \
    --key-schema AttributeName=UserId,KeyType=HASH AttributeName=GameTitle,KeyType=RANGE \
    --provisioned-throughput ReadCapacityUnits=10,WriteCapacityUnits=5 \
    --deletion-protection-enabled

Saída:


{
    "TableDescription": {
        "AttributeDefinitions": [
            {
                "AttributeName": "GameTitle",
                "AttributeType": "S"
            },
            {
                "AttributeName": "UserId",
                "AttributeType": "S"
            }
        ],
        "TableName": "GameScores",
        "KeySchema": [
            {
                "AttributeName": "UserId",
                "KeyType": "HASH"
            },
            {
                "AttributeName": "GameTitle",
                "KeyType": "RANGE"
            }
        ],
        "TableStatus": "CREATING",
        "CreationDateTime": "2023-05-25T23:02:17.093000+00:00",
        "ProvisionedThroughput": {
            "NumberOfDecreasesToday": 0,
            "ReadCapacityUnits": 10,
            "WriteCapacityUnits": 5
        },
        "TableSizeBytes": 0,
        "ItemCount": 0,
        "TableArn": "arn:aws:dynamodb:us-west-2:123456789012:table/GameScores",
        "TableId": "a1b2c3d4-5678-90ab-cdef-EXAMPLE11111",
        "DeletionProtectionEnabled": true
    }
}

Para obter mais informações, consulte Usar a proteção contra exclusão no Guia do desenvolvedor do Amazon DynamoDB.

Para obter detalhes da API, consulte CreateTable na Referência de comandos da AWS CLI.

Go

SDK para Go V2

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.



// 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
}

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK for Go.

Java

SDK para Java 2.x

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


import software.amazon.awssdk.core.waiters.WaiterResponse;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.dynamodb.DynamoDbClient;
import software.amazon.awssdk.services.dynamodb.model.AttributeDefinition;
import software.amazon.awssdk.services.dynamodb.model.CreateTableRequest;
import software.amazon.awssdk.services.dynamodb.model.CreateTableResponse;
import software.amazon.awssdk.services.dynamodb.model.DescribeTableRequest;
import software.amazon.awssdk.services.dynamodb.model.DescribeTableResponse;
import software.amazon.awssdk.services.dynamodb.model.DynamoDbException;
import software.amazon.awssdk.services.dynamodb.model.KeySchemaElement;
import software.amazon.awssdk.services.dynamodb.model.KeyType;
import software.amazon.awssdk.services.dynamodb.model.ProvisionedThroughput;
import software.amazon.awssdk.services.dynamodb.model.ScalarAttributeType;
import software.amazon.awssdk.services.dynamodb.waiters.DynamoDbWaiter;

/**
 * Before running this Java V2 code example, set up your development
 * environment, including your credentials.
 *
 * For more information, see the following documentation topic:
 *
 * https://docs.aws.amazon.com/sdk-for-java/latest/developer-guide/get-started.html
 */
public class CreateTable {
    public static void main(String[] args) {
        final String usage = """

                Usage:
                    <tableName> <key>

                Where:
                    tableName - The Amazon DynamoDB table to create (for example, Music3).
                    key - The key for the Amazon DynamoDB table (for example, Artist).
                """;

        if (args.length != 2) {
            System.out.println(usage);
            System.exit(1);
        }

        String tableName = args[0];
        String key = args[1];
        System.out.println("Creating an Amazon DynamoDB table " + tableName + " with a simple primary key: " + key);
        Region region = Region.US_EAST_1;
        DynamoDbClient ddb = DynamoDbClient.builder()
                .region(region)
                .build();

        String result = createTable(ddb, tableName, key);
        System.out.println("New table is " + result);
        ddb.close();
    }

    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(10L)
                        .writeCapacityUnits(10L)
                        .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 "";
    }
}

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK for Java 2.x.

JavaScript

SDK para JavaScript (v3)

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


import { CreateTableCommand, DynamoDBClient } from "@aws-sdk/client-dynamodb";

const client = new DynamoDBClient({});

export const main = async () => {
  const command = new CreateTableCommand({
    TableName: "EspressoDrinks",
    // For more information about data types,
    // see https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.NamingRulesDataTypes.html#HowItWorks.DataTypes and
    // https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.LowLevelAPI.html#Programming.LowLevelAPI.DataTypeDescriptors
    AttributeDefinitions: [
      {
        AttributeName: "DrinkName",
        AttributeType: "S",
      },
    ],
    KeySchema: [
      {
        AttributeName: "DrinkName",
        KeyType: "HASH",
      },
    ],
    ProvisionedThroughput: {
      ReadCapacityUnits: 1,
      WriteCapacityUnits: 1,
    },
  });

  const response = await client.send(command);
  console.log(response);
  return response;
};

Para obter mais informações, consulte o Guia do desenvolvedor do AWS SDK for JavaScript.
Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK for JavaScript.

SDK para JavaScript (v2)

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


// 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);
  }
});

Para obter mais informações, consulte o Guia do desenvolvedor do AWS SDK for JavaScript.
Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK for JavaScript.

Kotlin

SDK para Kotlin

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


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
    }
}

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK para Kotlin.

PHP

SDK para PHP

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.

Crie uma tabela.


        $tableName = "ddb_demo_table_$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],
        ]);
    }

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK for PHP.

PowerShell

Tools for PowerShell

Exemplo 1: este exemplo cria uma tabela chamada Thread que tem uma chave primária que consiste em “ForumName” (hash do tipo de chave) e “Subject” (intervalo de tipos de chave). O esquema usado para construir a tabela pode ser canalizado para cada cmdlet conforme mostrado ou especificado usando o parâmetro -Schema.


$schema = New-DDBTableSchema
$schema | Add-DDBKeySchema -KeyName "ForumName" -KeyDataType "S"
$schema | Add-DDBKeySchema -KeyName "Subject" -KeyType RANGE -KeyDataType "S"
$schema | New-DDBTable -TableName "Thread" -ReadCapacity 10 -WriteCapacity 5

Saída:


AttributeDefinitions   : {ForumName, Subject}
TableName              : Thread
KeySchema              : {ForumName, Subject}
TableStatus            : CREATING
CreationDateTime       : 10/28/2013 4:39:49 PM
ProvisionedThroughput  : Amazon.DynamoDBv2.Model.ProvisionedThroughputDescription
TableSizeBytes         : 0
ItemCount              : 0
LocalSecondaryIndexes  : {}

Exemplo 2: este exemplo cria uma tabela chamada “Thread” que tem uma chave primária que consiste em “ForumName” (hash do tipo de chave) e “Subject” (intervalo de tipos de chave). Um índice secundário local também é definido. A chave do índice secundário local será definida automaticamente por meio da chave de hash primária na tabela (ForumName). O esquema usado para construir a tabela pode ser canalizado para cada cmdlet conforme mostrado ou especificado usando o parâmetro -Schema.


$schema = New-DDBTableSchema
$schema | Add-DDBKeySchema -KeyName "ForumName" -KeyDataType "S"
$schema | Add-DDBKeySchema -KeyName "Subject" -KeyDataType "S"
$schema | Add-DDBIndexSchema -IndexName "LastPostIndex" -RangeKeyName "LastPostDateTime" -RangeKeyDataType "S" -ProjectionType "keys_only"
$schema | New-DDBTable -TableName "Thread" -ReadCapacity 10 -WriteCapacity 5

Saída:


AttributeDefinitions   : {ForumName, LastPostDateTime, Subject}
TableName              : Thread
KeySchema              : {ForumName, Subject}
TableStatus            : CREATING
CreationDateTime       : 10/28/2013 4:39:49 PM
ProvisionedThroughput  : Amazon.DynamoDBv2.Model.ProvisionedThroughputDescription
TableSizeBytes         : 0
ItemCount              : 0
LocalSecondaryIndexes  : {LastPostIndex}

Exemplo 3: este exemplo mostra como usar um único pipeline para criar uma tabela chamada “Thread” que tem uma chave primária que consiste em “ForumName” (hash do tipo de chave) e “Subject” (intervalo de tipos de chave) e um índice secundário local. O Add-DDBKeySchema e o Add-DDBIndexSchema criam um objeto TableSchema para você se um não for fornecido pelo pipeline ou pelo parâmetro -Schema.


New-DDBTableSchema |
  Add-DDBKeySchema -KeyName "ForumName" -KeyDataType "S" |
  Add-DDBKeySchema -KeyName "Subject" -KeyDataType "S" |
  Add-DDBIndexSchema -IndexName "LastPostIndex" `
                     -RangeKeyName "LastPostDateTime" `
                     -RangeKeyDataType "S" `
                     -ProjectionType "keys_only" |
  New-DDBTable -TableName "Thread" -ReadCapacity 10 -WriteCapacity 5

Saída:


AttributeDefinitions   : {ForumName, LastPostDateTime, Subject}
TableName              : Thread
KeySchema              : {ForumName, Subject}
TableStatus            : CREATING
CreationDateTime       : 10/28/2013 4:39:49 PM
ProvisionedThroughput  : Amazon.DynamoDBv2.Model.ProvisionedThroughputDescription
TableSizeBytes         : 0
ItemCount              : 0
LocalSecondaryIndexes  : {LastPostIndex}

Para ter detalhes da API, consulte CreateTable em AWS Tools for PowerShell Cmdlet Reference.

Python

SDK para Python (Boto3).

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.

Crie uma tabela para armazenar dados de filmes.


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
        # The table variable is set during the scenario in the call to
        # 'exists' if the table exists. Otherwise, it is set by 'create_table'.
        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

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK para Python (Boto3).

Ruby

SDK para Ruby

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


# Encapsulates an Amazon DynamoDB table of movie data.
class Scaffold
  attr_reader :dynamo_resource
  attr_reader :table_name
  attr_reader :table

  def initialize(table_name)
    client = Aws::DynamoDB::Client.new(region: "us-east-1")
    @dynamo_resource = Aws::DynamoDB::Resource.new(client: client)
    @table_name = table_name
    @table = nil
    @logger = Logger.new($stdout)
    @logger.level = Logger::DEBUG
  end

  # 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)
    @table
  rescue Aws::DynamoDB::Errors::ServiceError => e
    @logger.error("Failed create table #{table_name}:\n#{e.code}: #{e.message}")
    raise
  end

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK for Ruby.

Rust

SDK para Rust

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


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()
        .map_err(Error::BuildError)?;

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

    let pt = ProvisionedThroughput::builder()
        .read_capacity_units(10)
        .write_capacity_units(5)
        .build()
        .map_err(Error::BuildError)?;

    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))
        }
    }
}

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK para Rust.

SAP ABAP

SDK para SAP ABAP

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


    TRY.
        DATA(lt_keyschema) = VALUE /aws1/cl_dynkeyschemaelement=>tt_keyschema(
          ( NEW /aws1/cl_dynkeyschemaelement( iv_attributename = 'year'
                                              iv_keytype = 'HASH' ) )
          ( NEW /aws1/cl_dynkeyschemaelement( iv_attributename = 'title'
                                              iv_keytype = 'RANGE' ) ) ).
        DATA(lt_attributedefinitions) = VALUE /aws1/cl_dynattributedefn=>tt_attributedefinitions(
          ( NEW /aws1/cl_dynattributedefn( iv_attributename = 'year'
                                           iv_attributetype = 'N' ) )
          ( NEW /aws1/cl_dynattributedefn( iv_attributename = 'title'
                                           iv_attributetype = 'S' ) ) ).

        " Adjust read/write capacities as desired.
        DATA(lo_dynprovthroughput)  = NEW /aws1/cl_dynprovthroughput(
          iv_readcapacityunits = 5
          iv_writecapacityunits = 5 ).
        oo_result = lo_dyn->createtable(
          it_keyschema = lt_keyschema
          iv_tablename = iv_table_name
          it_attributedefinitions = lt_attributedefinitions
          io_provisionedthroughput = lo_dynprovthroughput ).
        " Table creation can take some time. Wait till table exists before returning.
        lo_dyn->get_waiter( )->tableexists(
          iv_max_wait_time = 200
          iv_tablename     = iv_table_name ).
        MESSAGE 'DynamoDB Table' && iv_table_name && 'created.' TYPE 'I'.
      " This exception can happen if the table already exists.
      CATCH /aws1/cx_dynresourceinuseex INTO DATA(lo_resourceinuseex).
        DATA(lv_error) = |"{ lo_resourceinuseex->av_err_code }" - { lo_resourceinuseex->av_err_msg }|.
        MESSAGE lv_error TYPE 'E'.
    ENDTRY.

Para obter detalhes da API, consulte CreateTable na Referência da API AWS SDK para SAP ABAP.

Swift

SDK para Swift

nota

Esta é a documentação de pré-lançamento de um SDK na versão de visualização. Está sujeita a alteração.

nota

Há mais no GitHub. Encontre o exemplo completo e saiba como configurar e executar no Repositório de exemplos de código da AWS.


    ///
    /// Create a movie table in the Amazon DynamoDB data store.
    ///
    private func createTable() async throws {
        guard let client = self.ddbClient else {
            throw MoviesError.UninitializedClient
        }

        let input = CreateTableInput(
            attributeDefinitions: [
                DynamoDBClientTypes.AttributeDefinition(attributeName: "year", attributeType: .n),
                DynamoDBClientTypes.AttributeDefinition(attributeName: "title", attributeType: .s),
            ],
            keySchema: [
                DynamoDBClientTypes.KeySchemaElement(attributeName: "year", keyType: .hash),
                DynamoDBClientTypes.KeySchemaElement(attributeName: "title", keyType: .range)
            ],
            provisionedThroughput: DynamoDBClientTypes.ProvisionedThroughput(
                readCapacityUnits: 10,
                writeCapacityUnits: 10
            ),
            tableName: self.tableName
        )
        let output = try await client.createTable(input: input)
        if output.tableDescription == nil {
            throw MoviesError.TableNotFound
        }
    }

Para obter detalhes da API, consulte CreateTable na Referência de API do AWS SDK para Swift.

Para ver uma lista completa dos Guias do desenvolvedor de SDK da AWS e exemplos de código, consulte Usar o DynamoDB com um AWS SDK. Este tópico também inclui informações sobre como começar e detalhes sobre versões anteriores do SDK.

Atenção O Javascript está desativado ou não está disponível no seu navegador.

Para usar a documentação da AWS, o Javascript deve estar ativado. Consulte as páginas de Ajuda do navegador para obter instruções.

Convenções do documento

BatchWriteItem

DeleteItem

Usar CreateTable com o AWS SDK ou a CLI

nota

nota

nota

nota

nota

nota

nota

nota

nota

nota

nota

nota

nota

nota

nota

Usar `CreateTable` com o AWS SDK ou a CLI