()
{
new KeySchemaElement
{
AttributeName = "year",
KeyType = KeyType.HASH,
},
new KeySchemaElement
{
AttributeName = "title",
KeyType = KeyType.RANGE,
},
},
BillingMode = BillingMode.PAY_PER_REQUEST,
});
// 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
{
Thread.Sleep(sleepDuration);
var describeTableResponse = await _amazonDynamoDB.DescribeTableAsync(request);
status = describeTableResponse.Table.TableStatus;
Console.Write(".");
}
while (status != "ACTIVE");
return status == TableStatus.ACTIVE;
}
catch (ResourceInUseException ex)
{
Console.WriteLine($"Table {tableName} already exists. {ex.Message}");
throw;
}
catch (AmazonDynamoDBException ex)
{
Console.WriteLine($"An Amazon DynamoDB error occurred while creating table {tableName}. {ex.Message}");
throw;
}
catch (Exception ex)
{
Console.WriteLine($"An error occurred while creating table {tableName}. {ex.Message}");
throw;
}
}
```
+ Para obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/goto/DotNetSDKV4/dynamodb-2012-08-10/CreateTable) en la *referencia de la API de AWS SDK para .NET*.
------
#### [ Bash ]
**AWS CLI con Bash script**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/aws-cli/bash-linux/dynamodb#code-examples).
```
###############################################################################
# function dynamodb_create_table
#
# This function creates an Amazon DynamoDB table.
#
# Parameters:
# -n table_name -- The name of the table to create.
# -a attribute_definitions -- JSON file path of a list of attributes and their types.
# -k key_schema -- JSON file path of a list of attributes and their key types.
#
# Returns:
# 0 - If successful.
# 1 - If it fails.
###############################################################################
function dynamodb_create_table() {
local table_name attribute_definitions key_schema response
local option OPTARG # Required to use getopts command in a function.
#######################################
# Function usage explanation
#######################################
function usage() {
echo "function dynamodb_create_table"
echo "Creates an Amazon DynamoDB table with on-demand billing."
echo " -n table_name -- The name of the table to create."
echo " -a attribute_definitions -- JSON file path of a list of attributes and their types."
echo " -k key_schema -- JSON file path of a list of attributes and their key types."
echo ""
}
# Retrieve the calling parameters.
while getopts "n:a:k:h" option; do
case "${option}" in
n) table_name="${OPTARG}" ;;
a) attribute_definitions="${OPTARG}" ;;
k) key_schema="${OPTARG}" ;;
h)
usage
return 0
;;
\?)
echo "Invalid parameter"
usage
return 1
;;
esac
done
export OPTIND=1
if [[ -z "$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
iecho "Parameters:\n"
iecho " table_name: $table_name"
iecho " attribute_definitions: $attribute_definitions"
iecho " key_schema: $key_schema"
iecho ""
response=$(aws dynamodb create-table \
--table-name "$table_name" \
--attribute-definitions file://"$attribute_definitions" \
--billing-mode PAY_PER_REQUEST \
--key-schema file://"$key_schema" )
local error_code=${?}
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
}
```
Las funciones de utilidad utilizadas en este ejemplo.
```
###############################################################################
# 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 obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/goto/aws-cli/dynamodb-2012-08-10/CreateTable) en la *Referencia de comandos de la AWS CLI*.
------
#### [ C\$1\$1 ]
**SDK para C\$1\$1**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/cpp/example_code/dynamodb#code-examples).
```
//! 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 false;
}
return waitTableActive(tableName, dynamoClient);
}
```
Código que espera a que se active la tabla.
```
//! Query a newly created DynamoDB table until it is active.
/*!
\sa waitTableActive()
\param waitTableActive: The DynamoDB table's name.
\param dynamoClient: A DynamoDB client.
\return bool: Function succeeded.
*/
bool AwsDoc::DynamoDB::waitTableActive(const Aws::String &tableName,
const Aws::DynamoDB::DynamoDBClient &dynamoClient) {
// Repeatedly call DescribeTable until table is ACTIVE.
const int MAX_QUERIES = 20;
Aws::DynamoDB::Model::DescribeTableRequest request;
request.SetTableName(tableName);
int count = 0;
while (count < MAX_QUERIES) {
const Aws::DynamoDB::Model::DescribeTableOutcome &result = dynamoClient.DescribeTable(
request);
if (result.IsSuccess()) {
Aws::DynamoDB::Model::TableStatus status = result.GetResult().GetTable().GetTableStatus();
if (Aws::DynamoDB::Model::TableStatus::ACTIVE != status) {
std::this_thread::sleep_for(std::chrono::seconds(1));
}
else {
return true;
}
}
else {
std::cerr << "Error DynamoDB::waitTableActive "
<< result.GetError().GetMessage() << std::endl;
return false;
}
count++;
}
return false;
}
```
+ Para obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/goto/SdkForCpp/dynamodb-2012-08-10/CreateTable) en la *Referencia de la API de AWS SDK para C\$1\$1*.
------
#### [ CLI ]
**AWS CLI**
**Ejemplo 1: Creación de una tabla con etiquetas**
En el siguiente ejemplo `create-table`, se utilizan los atributos y el esquema de claves especificados para crear una tabla denominada `MusicCollection`. Esta tabla utiliza el rendimiento aprovisionado y se cifrará en reposo con la CMK predeterminada propiedad de AWS. El comando también aplica una etiqueta a la tabla, con una clave de `Owner` y un 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
```
Salida:
```
{
"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 obtener más información, consulte [Operaciones básicas con tablas](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) en la *Guía para desarrolladores de Amazon DynamoDB*.
**Ejemplo 2: Creación de una tabla en modo bajo demanda**
En el siguiente ejemplo, se crea una tabla denominada `MusicCollection` mediante el modo bajo demanda, en lugar del modo de rendimiento aprovisionado. Esto resulta útil para tablas con cargas de trabajo impredecibles.
```
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
```
Salida:
```
{
"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 obtener más información, consulte [Operaciones básicas con tablas](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) en la *Guía para desarrolladores de Amazon DynamoDB*.
**Ejemplo 3: creación de una tabla y cifrarla con una CMK administrada por el cliente**
En el siguiente ejemplo, se crea una tabla denominada `MusicCollection` y se cifra mediante una CMK administrada por el 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
```
Salida:
```
{
"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 obtener más información, consulte [Operaciones básicas con tablas](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) en la *Guía para desarrolladores de Amazon DynamoDB*.
**Ejemplo 4: creación de una tabla con un índice secundario local**
En el siguiente ejemplo, se utilizan los atributos y el esquema de claves especificados para crear una tabla denominada `MusicCollection` con un índice secundario local denominado `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\"]
}
}
]"
```
Salida:
```
{
"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 obtener más información, consulte [Operaciones básicas con tablas](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) en la *Guía para desarrolladores de Amazon DynamoDB*.
**Ejemplo 5: creación de una tabla con un índice secundario global**
En el siguiente ejemplo, se crea una tabla llamada `GameScores` con un índice secundario global denominado `GameTitleIndex`. La tabla base tiene una clave de partición de `UserId` y una clave de ordenación de `GameTitle`, lo que le permite encontrar eficientemente la mejor puntuación de un usuario individual para un juego específico, mientras que el GSI tiene una clave de partición de `GameTitle` y una clave de ordenación de `TopScore`, lo que te permite encontrar rápidamente la puntuación más alta en general para un juego en particular.
```
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
}
}
]"
```
Salida:
```
{
"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 obtener más información, consulte [Operaciones básicas con tablas](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) en la *Guía para desarrolladores de Amazon DynamoDB*.
**Ejemplo 6: creación de una tabla con varios índices secundarios globales a la vez**
En el siguiente ejemplo, se crea una tabla denominada `GameScores` con dos índices secundarios globales. Los esquemas GSI se transfieren mediante un archivo, en lugar de hacerlo a través de la línea de comandos.
```
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
```
Contenido 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
}
}
]
```
Salida:
```
{
"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 obtener más información, consulte [Operaciones básicas con tablas](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) en la *Guía para desarrolladores de Amazon DynamoDB*.
**Ejemplo 7: creación de una tabla que tiene habilitado Streams**
En el siguiente ejemplo, se crea una tabla denominada `GameScores` con DynamoDB Streams habilitado. En el flujo se escribirán tanto las imágenes nuevas como las antiguas de cada elemento.
```
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
```
Salida:
```
{
"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 obtener más información, consulte [Operaciones básicas con tablas](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) en la *Guía para desarrolladores de Amazon DynamoDB*.
**Ejemplo 8: creación de una tabla con un flujo habilitado solo de claves**
En el siguiente ejemplo, se crea una tabla denominada `GameScores` con DynamoDB Streams habilitado. Solo se escriben en el flujo los atributos de clave del elementos modificados.
```
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
```
Salida:
```
{
"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 obtener más información, consulte [Captura de datos de cambios para DynamoDB Streams](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html) en la *Guía para desarrolladores de Amazon DynamoDB*.
**Ejemplo 9: creación de una tabla mediante la clase de tabla de acceso poco frecuente estándar de DynamoDB**
En el siguiente ejemplo se crea una tabla denominada `GameScores` y asigna la clase de tabla Estándar - Acceso poco frecuente (DynamoDB Standard-IA). Esta clase de tabla está optimizada para que el almacenamiento sea el costo 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
```
Salida:
```
{
"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 obtener más información, consulte [Clases de tabla](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.TableClasses.html) en la *Guía para desarrolladores de Amazon DynamoDB*.
**Ejemplo 10: creación de una tabla con la protección contra eliminación habilitada**
En el siguiente ejemplo, se crea una tabla denominada `GameScores` y habilita la protección contra eliminación.
```
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
```
Salida:
```
{
"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 obtener más información, consulte [Uso de la protección contra eliminación](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html#WorkingWithTables.Basics.DeletionProtection) en la *Guía para desarrolladores de Amazon DynamoDB*.
+ Para obtener información sobre la API, consulte [CreateTable](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/dynamodb/create-table.html) en la *Referencia de comandos de la AWS CLI*.
------
#### [ Go ]
**SDK para Go V2**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/gov2/dynamodb#code-examples).
```
import (
"context"
"errors"
"log"
"time"
"github.com/aws/aws-sdk-go-v2/aws"
"github.com/aws/aws-sdk-go-v2/feature/dynamodb/attributevalue"
"github.com/aws/aws-sdk-go-v2/feature/dynamodb/expression"
"github.com/aws/aws-sdk-go-v2/service/dynamodb"
"github.com/aws/aws-sdk-go-v2/service/dynamodb/types"
)
// 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(ctx context.Context) (*types.TableDescription, error) {
var tableDesc *types.TableDescription
table, err := basics.DynamoDbClient.CreateTable(ctx, &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),
BillingMode: types.BillingModePayPerRequest,
})
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(ctx, &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
log.Printf("Ccreating table test")
}
return tableDesc, err
}
```
+ Para obtener información sobre la API, consulte [CreateTable](https://pkg.go.dev/github.com/aws/aws-sdk-go-v2/service/dynamodb#Client.CreateTable) en la *referencia de la API de AWS SDK para Go*.
------
#### [ Java ]
**SDK para Java 2.x**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javav2/example_code/dynamodb#code-examples).
```
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.BillingMode;
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.OnDemandThroughput;
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:
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())
.billingMode(BillingMode.PAY_PER_REQUEST) // DynamoDB automatically scales based on traffic.
.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 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 obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/goto/SdkForJavaV2/dynamodb-2012-08-10/CreateTable) en la *referencia de la API de AWS SDK for Java 2.x*.
------
#### [ JavaScript ]
**SDK para JavaScript (v3)**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/dynamodb#code-examples).
```
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",
},
],
BillingMode: "PAY_PER_REQUEST",
});
const response = await client.send(command);
console.log(response);
return response;
};
```
+ Para obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/dynamodb-examples-using-tables.html#dynamodb-examples-using-tables-creating-a-table).
+ Para obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/CreateTableCommand) en la *referencia de la API de AWS SDK para JavaScript*.
**SDK para JavaScript (v2)**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascript/example_code/dynamodb#code-examples).
```
// 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 obtener información, consulte la [Guía para desarrolladores de AWS SDK para JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/dynamodb-examples-using-tables.html#dynamodb-examples-using-tables-creating-a-table).
+ Para obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/dynamodb-2012-08-10/CreateTable) en la *referencia de la API de AWS SDK para JavaScript*.
------
#### [ Kotlin ]
**SDK para Kotlin**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/kotlin/services/dynamodb#code-examples).
```
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 request =
CreateTableRequest {
attributeDefinitions = listOf(attDef)
keySchema = listOf(keySchemaVal)
billingMode = BillingMode.PayPerRequest
tableName = tableNameVal
}
DynamoDbClient.fromEnvironment { 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 obtener información sobre la API, consulte [CreateTable](https://sdk.amazonaws.com/kotlin/api/latest/index.html) en la *referencia de la API de AWS SDK para Kotlin*.
------
#### [ PHP ]
**SDK para PHP**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/php/example_code/dynamodb#code-examples).
Crear una tabla.
```
$tableName = "ddb_demo_table_$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 obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/goto/SdkForPHPV3/dynamodb-2012-08-10/CreateTable) en la *referencia de la API de AWS SDK para PHP*.
------
#### [ PowerShell ]
**Herramientas para PowerShell V4**
**Ejemplo 1: en este ejemplo se crea una tabla denominada Thread que tiene una clave principal compuesta por ForumName (hash de tipos de clave) y Subject (rango de tipos de clave). El esquema utilizado para construir la tabla se puede canalizar hacia cada cmdlet tal como se muestra o se especifica con el parámetro -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
```
**Salida:**
```
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 : {}
```
**Ejemplo 2: en este ejemplo se crea una tabla denominada Thread que tiene una clave principal compuesta por ForumName (hash de tipo clave) y Subject (rango de tipos de clave). También se define un índice secundario local. La clave del índice secundario local se establecerá automáticamente a partir de la clave hash principal de la tabla (ForumName). El esquema utilizado para construir la tabla se puede canalizar hacia cada cmdlet tal como se muestra o se especifica con el parámetro -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
```
**Salida:**
```
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}
```
**Ejemplo 3: en este ejemplo se muestra cómo usar una sola canalización para crear una tabla denominada Thread que tiene una clave principal compuesta por ForumName (hash de tipo clave) y Subject (rango de tipos de clave), además de un índice secundario local. Add-DDBKeySchema y Add-DDBIndexSchema crean un nuevo objeto TableSchema para usted si no se proporciona ninguno desde la canalización o el parámetro -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
```
**Salida:**
```
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 obtener detalles de la API, consulte [CreateTable](https://docs.aws.amazon.com/powershell/v4/reference) en la *Referencia de cmdlets de Herramientas de AWS para PowerShell (V4)*.
**Herramientas para PowerShell V5**
**Ejemplo 1: en este ejemplo se crea una tabla denominada Thread que tiene una clave principal compuesta por ForumName (hash de tipos de clave) y Subject (rango de tipos de clave). El esquema utilizado para construir la tabla se puede canalizar hacia cada cmdlet tal como se muestra o se especifica con el parámetro -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
```
**Salida:**
```
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 : {}
```
**Ejemplo 2: en este ejemplo se crea una tabla denominada Thread que tiene una clave principal compuesta por ForumName (hash de tipo clave) y Subject (rango de tipos de clave). También se define un índice secundario local. La clave del índice secundario local se establecerá automáticamente a partir de la clave hash principal de la tabla (ForumName). El esquema utilizado para construir la tabla se puede canalizar hacia cada cmdlet tal como se muestra o se especifica con el parámetro -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
```
**Salida:**
```
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}
```
**Ejemplo 3: en este ejemplo se muestra cómo usar una sola canalización para crear una tabla denominada Thread que tiene una clave principal compuesta por ForumName (hash de tipo clave) y Subject (rango de tipos de clave), además de un índice secundario local. Add-DDBKeySchema y Add-DDBIndexSchema crean un nuevo objeto TableSchema para usted si no se proporciona ninguno desde la canalización o el parámetro -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
```
**Salida:**
```
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 obtener detalles de la API, consulte [CreateTable](https://docs.aws.amazon.com/powershell/v5/reference) en la *Referencia de cmdlets de Herramientas de AWS para PowerShell (V5)*.
------
#### [ Python ]
**SDK para Python (Boto3)**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/dynamodb#code-examples).
Cree una tabla para almacenar datos de películas.
```
class Movies:
"""Encapsulates an Amazon DynamoDB table of movie data.
Example data structure for a movie record in this table:
{
"year": 1999,
"title": "For Love of the Game",
"info": {
"directors": ["Sam Raimi"],
"release_date": "1999-09-15T00:00:00Z",
"rating": 6.3,
"plot": "A washed up pitcher flashes through his career.",
"rank": 4987,
"running_time_secs": 8220,
"actors": [
"Kevin Costner",
"Kelly Preston",
"John C. Reilly"
]
}
}
"""
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"},
],
BillingMode='PAY_PER_REQUEST',
)
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 obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/goto/boto3/dynamodb-2012-08-10/CreateTable) en la *referencia de la API de AWS SDK para Python (Boto3)*.
------
#### [ Ruby ]
**SDK para Ruby**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/example_code/dynamodb#code-examples).
```
# Encapsulates an Amazon DynamoDB table of movie data.
class Scaffold
attr_reader :dynamo_resource, :table_name, :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' }
],
billing_mode: 'PAY_PER_REQUEST'
)
@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 obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/goto/SdkForRubyV3/dynamodb-2012-08-10/CreateTable) en la *referencia de la API de AWS SDK para Ruby*.
------
#### [ Rust ]
**SDK para Rust**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/rustv1/examples/dynamodb#code-examples).
```
pub async fn create_table(
client: &Client,
table: &str,
key: &str,
) -> Result {
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 create_table_response = client
.create_table()
.table_name(table_name)
.key_schema(ks)
.attribute_definitions(ad)
.billing_mode(BillingMode::PayPerRequest)
.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 obtener información sobre la API, consulte [CreateTable](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.create_table) en la *referencia de la API de AWS SDK para Rust*.
------
#### [ SAP ABAP ]
**SDK para SAP ABAP**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/sap-abap/services/dyn#code-examples).
```
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 obtener información sobre la API, consulte [CreateTable](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) en la *Referencia de la API del AWS SDK para SAP ABAP*.
------
#### [ Swift ]
**SDK para Swift**
Hay más en GitHub. Busque el ejemplo completo y aprenda a configurar y ejecutar en el [Repositorio de ejemplos de código de AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/swift/example_code/dynamodb#code-examples).
```
import AWSDynamoDB
///
/// Create a movie table in the Amazon DynamoDB data store.
///
private func createTable() async throws {
do {
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)
],
billingMode: DynamoDBClientTypes.BillingMode.payPerRequest,
keySchema: [
DynamoDBClientTypes.KeySchemaElement(attributeName: "year", keyType: .hash),
DynamoDBClientTypes.KeySchemaElement(attributeName: "title", keyType: .range)
],
tableName: self.tableName
)
let output = try await client.createTable(input: input)
if output.tableDescription == nil {
throw MoviesError.TableNotFound
}
} catch {
print("ERROR: createTable:", dump(error))
throw error
}
}
```
+ Para obtener detalles sobre la API, consulte [CreateTable](https://sdk.amazonaws.com/swift/api/awsdynamodb/latest/documentation/awsdynamodb/dynamodbclient/createtable(input:)) en la *Referencia de la API del SDK de AWS para Swift*.
------
Para obtener una lista completa de las guías para desarrolladores de AWS SDK y ejemplos de código, consulte [Uso de DynamoDB con un SDK de AWS](sdk-general-information-section.md). En este tema también se incluye información sobre cómo comenzar a utilizar el SDK y detalles sobre sus versiones anteriores.