()
{
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($"An error occurred while creating table {tableName}. {ex.Message}");
throw;
}
}
```
+ Per i dettagli sull'API, consulta la [CreateTable](https://docs.aws.amazon.com/goto/DotNetSDKV4/dynamodb-2012-08-10/CreateTable)sezione *AWS SDK per .NET API Reference*.
------
#### [ Bash ]
**AWS CLI con lo script Bash**
C'è altro da fare. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/aws-cli/bash-linux/dynamodb#code-examples).
```
###############################################################################
# function dynamodb_create_table
#
# This function creates an Amazon DynamoDB table.
#
# Parameters:
# -n table_name -- The name of the table to create.
# -a attribute_definitions -- JSON file path of a list of attributes and their types.
# -k key_schema -- JSON file path of a list of attributes and their key types.
#
# Returns:
# 0 - If successful.
# 1 - If it fails.
###############################################################################
function dynamodb_create_table() {
local table_name attribute_definitions key_schema response
local option OPTARG # Required to use getopts command in a function.
#######################################
# Function usage explanation
#######################################
function usage() {
echo "function dynamodb_create_table"
echo "Creates an Amazon DynamoDB table with on-demand billing."
echo " -n table_name -- The name of the table to create."
echo " -a attribute_definitions -- JSON file path of a list of attributes and their types."
echo " -k key_schema -- JSON file path of a list of attributes and their key types."
echo ""
}
# Retrieve the calling parameters.
while getopts "n:a:k:h" option; do
case "${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
}
```
Le funzioni di utilità utilizzate in questo esempio.
```
###############################################################################
# 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
}
```
+ Per i dettagli sull'API, consulta [CreateTable AWS CLI](https://docs.aws.amazon.com/goto/aws-cli/dynamodb-2012-08-10/CreateTable)*Command Reference*.
------
#### [ C\$1\$1 ]
**SDK per C\$1\$1**
C'è altro su GitHub. Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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);
}
```
Codice che attende che la tabella diventi attiva.
```
//! 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;
}
```
+ Per i dettagli sull'API, consulta la [CreateTable](https://docs.aws.amazon.com/goto/SdkForCpp/dynamodb-2012-08-10/CreateTable)sezione *AWS SDK per C\$1\$1 API Reference*.
------
#### [ CLI ]
**AWS CLI**
**Esempio 1: come creare una tabella con tag**
L’esempio `create-table` seguente utilizza gli attributi e lo schema di chiavi specificati per creare una tabella denominata `MusicCollection`. Questa tabella utilizza la velocità effettiva assegnata ed è crittografata a riposo utilizzando la CMK di AWS proprietà predefinita. Il comando applica inoltre un tag alla tabella, con una chiave `Owner` e un valore `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
```
Output:
```
{
"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"
}
}
```
Per ulteriori informazioni, consulta [Operazioni di base per le tabelle](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
**Esempio 2: come creare una tabella in modalità on demand**
L’esempio seguente crea una tabella denominata `MusicCollection` utilizzando la modalità on demand, anziché la modalità basata su throughput allocato. Ciò risulta utile per le tabelle con carichi di lavoro imprevedibili.
```
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
```
Output:
```
{
"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"
}
}
}
```
Per ulteriori informazioni, consulta [Operazioni di base per le tabelle](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
**Esempio 3: come creare una tabella e crittografarla con una chiave gestita dal cliente (CMK).**
L’esempio seguente crea una tabella denominata `MusicCollection` e la crittografa utilizzando una chiave gestita dal cliente (CMK).
```
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
```
Output:
```
{
"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"
}
}
}
```
Per ulteriori informazioni, consulta [Operazioni di base per le tabelle](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
**Esempio 4: come creare una tabella con un indice secondario locale**
Nell’esempio seguente vengono utilizzati gli attributi e lo schema di chiavi specificati per creare una tabella denominata `MusicCollection` con un indice secondario locale denominato `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\"]
}
}
]"
```
Output:
```
{
"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"
}
]
}
}
```
Per ulteriori informazioni, consulta [Operazioni di base per le tabelle](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
**Esempio 5: come creare una tabella con un indice secondario globale**
L’esempio seguente crea una tabella denominata `GameScores` con un indice secondario globale denominato `GameTitleIndex`. La tabella di base ha una chiave di partizione di `UserId` e una chiave di ordinamento di `GameTitle`, permettendo di trovare il miglior punteggio di un singolo utente per un gioco specifico in modo efficiente, mentre il GSI ha una chiave di partizione di `GameTitle` e una chiave di ordinamento di `TopScore`, permettendo di trovare rapidamente il punteggio più alto complessivo per un determinato gioco.
```
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
}
}
]"
```
Output:
```
{
"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"
}
]
}
}
```
Per ulteriori informazioni, consulta [Operazioni di base per le tabelle](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
**Esempio 6: come creare una tabella con più indici secondari globali contemporaneamente**
Nell’esempio seguente viene creata una tabella denominata `GameScores` con due indici secondari globali. Gli schemi GSI vengono passati tramite un file, anziché nella riga di 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
```
Contenuto di `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
}
}
]
```
Output:
```
{
"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"
}
]
}
}
```
Per ulteriori informazioni, consulta [Operazioni di base per le tabelle](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
**Esempio 7: come creare una tabella con i flussi abilitati**
L’esempio seguente crea una tabella denominata `GameScores` con i flussi DynamoDB abilitati. Le immagini vecchie e nuove di ciascun elemento verranno scritte nel flusso.
```
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
```
Output:
```
{
"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"
}
}
```
Per ulteriori informazioni, consulta [Operazioni di base per le tabelle](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
**Esempio 8: come creare una tabella con il flusso KEYS\$1ONLY abilitato**
L’esempio seguente crea una tabella denominata `GameScores` con i flussi DynamoDB abilitati. Solo gli attributi chiave dell’elemento modificato vengono scritti nel flusso.
```
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
```
Output:
```
{
"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
}
}
```
Per ulteriori informazioni, consulta [Acquisizione dei dati di modifica per DynamoDB Streams](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
**Esempio 9: come creare una tabella con la classe Accesso infrequente standard**
L’esempio seguente crea una tabella denominata `GameScores` e assegna la classe di tabella Accesso Infrequente Amazon DynamoDB Standard (AI Amazon DynamoDB Standard). Questa classe di tabelle è ottimizzata a livello di archiviazione in quanto l’archiviazione rappresenta il costo principale.
```
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
```
Output:
```
{
"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
}
}
```
Per ulteriori informazioni, consulta [Classi di tabelle](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.TableClasses.html) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
**Esempio 10: come creare una tabella con l’opzione Protezione da eliminazione abilitata**
L’esempio seguente crea una tabella denominata `GameScores` e abilita la protezione da eliminazione.
```
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
```
Output:
```
{
"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
}
}
```
Per ulteriori informazioni, consulta [Uso della protezione da eliminazione](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/WorkingWithTables.Basics.html#WorkingWithTables.Basics.DeletionProtection) nella *Guida per gli sviluppatori di Amazon DynamoDB*.
+ *Per i dettagli sull'API, consulta Command [CreateTable](https://awscli.amazonaws.com/v2/documentation/api/latest/reference/dynamodb/create-table.html)Reference AWS CLI .*
------
#### [ Go ]
**SDK per Go V2**
C'è altro su GitHub. Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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
}
```
+ Per i dettagli sull'API, consulta la [CreateTable](https://pkg.go.dev/github.com/aws/aws-sdk-go-v2/service/dynamodb#Client.CreateTable)sezione *AWS SDK per Go API Reference*.
------
#### [ Java ]
**SDK per Java 2.x**
C'è altro su GitHub. Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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 "";
}
}
```
+ Per i dettagli sull'API, consulta la [CreateTable](https://docs.aws.amazon.com/goto/SdkForJavaV2/dynamodb-2012-08-10/CreateTable)sezione *AWS SDK for Java 2.x API Reference*.
------
#### [ JavaScript ]
**SDK per JavaScript (v3)**
C'è altro da fare. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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;
};
```
+ Per ulteriori informazioni, consulta la [Guida per sviluppatori di AWS SDK per JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/dynamodb-examples-using-tables.html#dynamodb-examples-using-tables-creating-a-table).
+ Per i dettagli sull'API, consulta la [CreateTable](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/client/dynamodb/command/CreateTableCommand)sezione *AWS SDK per JavaScript API Reference*.
**SDK per JavaScript (v2)**
C'è altro da fare. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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);
}
});
```
+ Per ulteriori informazioni, consulta la [Guida per sviluppatori di AWS SDK per JavaScript](https://docs.aws.amazon.com/sdk-for-javascript/v2/developer-guide/dynamodb-examples-using-tables.html#dynamodb-examples-using-tables-creating-a-table).
+ Per i dettagli sull'API, consulta la [CreateTable](https://docs.aws.amazon.com/goto/AWSJavaScriptSDK/dynamodb-2012-08-10/CreateTable)sezione *AWS SDK per JavaScript API Reference*.
------
#### [ Kotlin ]
**SDK per Kotlin**
C'è altro su GitHub. Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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
}
}
```
+ Per i dettagli sull'API, [CreateTable](https://sdk.amazonaws.com/kotlin/api/latest/index.html)consulta *AWS SDK for Kotlin* API reference.
------
#### [ PHP ]
**SDK per PHP**
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/php/example_code/dynamodb#code-examples).
Creare una tabella.
```
$tableName = "ddb_demo_table_$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],
]);
}
```
+ Per i dettagli sull'API, consulta la [CreateTable](https://docs.aws.amazon.com/goto/SdkForPHPV3/dynamodb-2012-08-10/CreateTable)sezione *AWS SDK per PHP API Reference*.
------
#### [ PowerShell ]
**Strumenti per PowerShell V4**
**Esempio 1: Questo esempio crea una tabella denominata Thread con una chiave primaria composta da 'ForumName' (hash del tipo di chiave) e 'Subject' (intervallo dei tipi di chiave). Lo schema utilizzato per costruire la tabella può essere inserito in ogni cmdlet come mostrato o specificato mediante il parametro -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
```
**Output:**
```
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 : {}
```
**Esempio 2: Questo esempio crea una tabella denominata Thread con una chiave primaria composta da 'ForumName' (hash del tipo di chiave) e 'Subject' (intervallo dei tipi di chiave). Viene inoltre definito un indice secondario locale. La chiave dell'indice secondario locale verrà impostata automaticamente dalla chiave hash primaria sulla tabella ()ForumName. Lo schema utilizzato per costruire la tabella può essere inserito in ogni cmdlet come mostrato o specificato mediante il parametro -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
```
**Output:**
```
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}
```
**Esempio 3: Questo esempio mostra come utilizzare una singola pipeline per creare una tabella denominata Thread con una chiave primaria composta da '' ForumName (hash del tipo di chiave) e 'Subject' (intervallo dei tipi di chiave) e un indice secondario locale. Add- DDBKey Schema e Add- DDBIndex Schema creano automaticamente un nuovo TableSchema oggetto se uno non viene fornito dalla pipeline o dal parametro -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
```
**Output:**
```
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}
```
+ Per i dettagli sull'API, vedere [CreateTable](https://docs.aws.amazon.com/powershell/v4/reference)in *AWS Strumenti per PowerShell Cmdlet Reference* (V4).
**Strumenti per V5 PowerShell **
**Esempio 1: Questo esempio crea una tabella denominata Thread con una chiave primaria composta da 'ForumName' (hash del tipo di chiave) e 'Subject' (intervallo dei tipi di chiave). Lo schema utilizzato per costruire la tabella può essere inserito in ogni cmdlet come mostrato o specificato mediante il parametro -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
```
**Output:**
```
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 : {}
```
**Esempio 2: Questo esempio crea una tabella denominata Thread con una chiave primaria composta da 'ForumName' (hash del tipo di chiave) e 'Subject' (intervallo dei tipi di chiave). Viene inoltre definito un indice secondario locale. La chiave dell'indice secondario locale verrà impostata automaticamente dalla chiave hash primaria sulla tabella ()ForumName. Lo schema utilizzato per costruire la tabella può essere inserito in ogni cmdlet come mostrato o specificato mediante il parametro -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
```
**Output:**
```
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}
```
**Esempio 3: Questo esempio mostra come utilizzare una singola pipeline per creare una tabella denominata Thread con una chiave primaria composta da '' ForumName (hash del tipo di chiave) e 'Subject' (intervallo dei tipi di chiave) e un indice secondario locale. Add- DDBKey Schema e Add- DDBIndex Schema creano automaticamente un nuovo TableSchema oggetto se uno non viene fornito dalla pipeline o dal parametro -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
```
**Output:**
```
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}
```
+ Per i dettagli sull'API, vedere [CreateTable](https://docs.aws.amazon.com/powershell/v5/reference)in *AWS Strumenti per PowerShell Cmdlet Reference* (V5).
------
#### [ Python ]
**SDK per Python (Boto3)**
C'è altro su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice AWS](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/dynamodb#code-examples).
Crea una tabella per la memorizzazione dei dati del filmato.
```
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
```
+ Per i dettagli sull'API, consulta [CreateTable AWS](https://docs.aws.amazon.com/goto/boto3/dynamodb-2012-08-10/CreateTable)*SDK for Python (Boto3) API Reference*.
------
#### [ Ruby ]
**SDK per Ruby**
C'è di più su. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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
```
+ Per i dettagli sull'API, consulta la [CreateTable](https://docs.aws.amazon.com/goto/SdkForRubyV3/dynamodb-2012-08-10/CreateTable)sezione *AWS SDK per Ruby API Reference*.
------
#### [ Rust ]
**SDK per Rust**
C'è altro da fare. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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))
}
}
}
```
+ Per i dettagli sulle API, consulta la [CreateTable](https://docs.rs/aws-sdk-dynamodb/latest/aws_sdk_dynamodb/client/struct.Client.html#method.create_table)guida di *riferimento all'API AWS SDK for Rust*.
------
#### [ SAP ABAP ]
**SDK per SAP ABAP**
C'è altro da fare. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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.
```
+ Per i dettagli sulle API, [CreateTable](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html)consulta *AWS SDK for SAP ABAP* API reference.
------
#### [ Swift ]
**SDK per Swift**
C'è altro da fare. GitHub Trova l'esempio completo e scopri di più sulla configurazione e l'esecuzione nel [Repository di esempi di codice 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
}
}
```
+ Per i dettagli sull'API, consulta la [CreateTable](https://sdk.amazonaws.com/swift/api/awsdynamodb/latest/documentation/awsdynamodb/dynamodbclient/createtable(input:))guida di riferimento all'*API AWS SDK for Swift*.
------
Per un elenco completo delle guide per sviluppatori AWS SDK e degli esempi di codice, consulta. [Utilizzo di DynamoDB con un SDK AWS](sdk-general-information-section.md) Questo argomento include anche informazioni su come iniziare e dettagli sulle versioni precedenti dell’SDK.