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# Creazione di una nuova tabella DynamoDB con throughput caldo più elevato
È possibile regolare i valori di throughput a caldo quando si crea una tabella DynamoDB attraverso la procedura seguente. Queste fasi si applicano anche alla creazione di una [tabella globale](GlobalTables.md) o di un [indice secondario](SecondaryIndexes.md).
## Console di gestione AWS
Per creare una tabella DynamoDB e regolare i valori di throughput a caldo tramite la console:
1. Accedi Console di gestione AWS e apri la console DynamoDB all'indirizzo. [https://console.aws.amazon.com/dynamodb/](https://console.aws.amazon.com/dynamodb/)
1. Seleziona **Crea tabella**.
1. Seleziona un **Nome tabella**, una **Chiave di partizione** e una **Chiave di ordinamento (opzionale)**.
1. Per **Impostazioni tabella**, seleziona **Personalizza impostazioni**.
1. Nel campo **Throughput a caldo**, seleziona **Aumentare il throughput a caldo**.
1. Regola le **Unità di lettura al secondo** e le **Unità di scrittura al secondo**. Queste due impostazioni definiscono il throughput massimo che la tabella può gestire in modo istantaneo.
1. Continua ad aggiungere i dettagli rimanenti della tabella, quindi seleziona **Crea tabella**.
## AWS CLI
L' AWS CLI esempio seguente mostra come creare una tabella DynamoDB con valori di throughput caldi personalizzati.
1. Esegui l’operazione `create-table` per creare la seguente tabella DynamoDB.
```
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=20,WriteCapacityUnits=10 \
--global-secondary-indexes \
"[
{
\"IndexName\": \"GameTitleIndex\",
\"KeySchema\": [{\"AttributeName\":\"GameTitle\",\"KeyType\":\"HASH\"},
{\"AttributeName\":\"TopScore\",\"KeyType\":\"RANGE\"}],
\"Projection\":{
\"ProjectionType\":\"INCLUDE\",
\"NonKeyAttributes\":[\"UserId\"]
},
\"ProvisionedThroughput\": {
\"ReadCapacityUnits\": 50,
\"WriteCapacityUnits\": 25
},\"WarmThroughput\": {
\"ReadUnitsPerSecond\": 1987,
\"WriteUnitsPerSecond\": 543
}
}
]" \
--warm-throughput ReadUnitsPerSecond=12345,WriteUnitsPerSecond=4567 \
--region us-east-1
```
1. Riceverai una risposta simile a quella seguente. Le impostazioni sul `WarmThroughput` verranno visualizzate come `ReadUnitsPerSecond` e`WriteUnitsPerSecond`. `Status` risulterà `UPDATING` quando verrà aggiornato il valore di throughput a caldo e `ACTIVE` quando sarà stato impostato il nuovo valore di throughput a caldo.
```
{
"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": 1730241788.779,
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 20,
"WriteCapacityUnits": 10
},
"TableSizeBytes": 0,
"ItemCount": 0,
"TableArn": "arn:aws:dynamodb:us-east-1:XXXXXXXXXXXX:table/GameScores",
"TableId": "XXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX",
"GlobalSecondaryIndexes": [
{
"IndexName": "GameTitleIndex",
"KeySchema": [
{
"AttributeName": "GameTitle",
"KeyType": "HASH"
},
{
"AttributeName": "TopScore",
"KeyType": "RANGE"
}
],
"Projection": {
"ProjectionType": "INCLUDE",
"NonKeyAttributes": [
"UserId"
]
},
"IndexStatus": "CREATING",
"ProvisionedThroughput": {
"NumberOfDecreasesToday": 0,
"ReadCapacityUnits": 50,
"WriteCapacityUnits": 25
},
"IndexSizeBytes": 0,
"ItemCount": 0,
"IndexArn": "arn:aws:dynamodb:us-east-1:XXXXXXXXXXXX:table/GameScores/index/GameTitleIndex",
"WarmThroughput": {
"ReadUnitsPerSecond": 1987,
"WriteUnitsPerSecond": 543,
"Status": "UPDATING"
}
}
],
"DeletionProtectionEnabled": false,
"WarmThroughput": {
"ReadUnitsPerSecond": 12345,
"WriteUnitsPerSecond": 4567,
"Status": "UPDATING"
}
}
}
```
## AWS SDK
Gli esempi dell’SDK seguenti mostrano come creare una tabella DynamoDB con valori di throughput a caldo personalizzati.
------
#### [ Java ]
```
import software.amazon.awscdk.services.dynamodb.ProjectionType;
import software.amazon.awssdk.services.dynamodb.DynamoDbClient;
import software.amazon.awssdk.services.dynamodb.model.CreateTableResponse;
import software.amazon.awssdk.services.dynamodb.model.CreateTableRequest;
import software.amazon.awssdk.services.dynamodb.model.KeySchemaElement;
import software.amazon.awssdk.services.dynamodb.model.KeyType;
import software.amazon.awssdk.services.dynamodb.model.ProvisionedThroughput;
import software.amazon.awssdk.services.dynamodb.model.Projection;
import software.amazon.awssdk.services.dynamodb.model.GlobalSecondaryIndex;
import software.amazon.awssdk.services.dynamodb.model.AttributeDefinition;
import software.amazon.awssdk.services.dynamodb.model.ScalarAttributeType;
import software.amazon.awssdk.services.dynamodb.model.WarmThroughput;
...
public static WarmThroughput buildWarmThroughput(final Long readUnitsPerSecond,
final Long writeUnitsPerSecond) {
return WarmThroughput.builder()
.readUnitsPerSecond(readUnitsPerSecond)
.writeUnitsPerSecond(writeUnitsPerSecond)
.build();
}
private static AttributeDefinition buildAttributeDefinition(final String attributeName,
final ScalarAttributeType scalarAttributeType) {
return AttributeDefinition.builder()
.attributeName(attributeName)
.attributeType(scalarAttributeType)
.build();
}
private static KeySchemaElement buildKeySchemaElement(final String attributeName,
final KeyType keyType) {
return KeySchemaElement.builder()
.attributeName(attributeName)
.keyType(keyType)
.build();
}
public static void createDynamoDBTable(DynamoDbClient ddb,
String tableName,
String partitionKey,
String sortKey,
String miscellaneousKeyAttribute,
String nonKeyAttribute,
Long tableReadCapacityUnits,
Long tableWriteCapacityUnits,
Long tableWarmReadUnitsPerSecond,
Long tableWarmWriteUnitsPerSecond,
String globalSecondaryIndexName,
Long globalSecondaryIndexReadCapacityUnits,
Long globalSecondaryIndexWriteCapacityUnits,
Long globalSecondaryIndexWarmReadUnitsPerSecond,
Long globalSecondaryIndexWarmWriteUnitsPerSecond) {
// Define the table attributes
final AttributeDefinition partitionKeyAttribute = buildAttributeDefinition(partitionKey, ScalarAttributeType.S);
final AttributeDefinition sortKeyAttribute = buildAttributeDefinition(sortKey, ScalarAttributeType.S);
final AttributeDefinition miscellaneousKeyAttributeDefinition = buildAttributeDefinition(miscellaneousKeyAttribute, ScalarAttributeType.N);
final AttributeDefinition[] attributeDefinitions = {partitionKeyAttribute, sortKeyAttribute, miscellaneousKeyAttributeDefinition};
// Define the table key schema
final KeySchemaElement partitionKeyElement = buildKeySchemaElement(partitionKey, KeyType.HASH);
final KeySchemaElement sortKeyElement = buildKeySchemaElement(sortKey, KeyType.RANGE);
final KeySchemaElement[] keySchema = {partitionKeyElement, sortKeyElement};
// Define the provisioned throughput for the table
final ProvisionedThroughput provisionedThroughput = ProvisionedThroughput.builder()
.readCapacityUnits(tableReadCapacityUnits)
.writeCapacityUnits(tableWriteCapacityUnits)
.build();
// Define the Global Secondary Index (GSI)
final KeySchemaElement globalSecondaryIndexPartitionKeyElement = buildKeySchemaElement(sortKey, KeyType.HASH);
final KeySchemaElement globalSecondaryIndexSortKeyElement = buildKeySchemaElement(miscellaneousKeyAttribute, KeyType.RANGE);
final KeySchemaElement[] gsiKeySchema = {globalSecondaryIndexPartitionKeyElement, globalSecondaryIndexSortKeyElement};
final Projection gsiProjection = Projection.builder()
.projectionType(String.valueOf(ProjectionType.INCLUDE))
.nonKeyAttributes(nonKeyAttribute)
.build();
final ProvisionedThroughput gsiProvisionedThroughput = ProvisionedThroughput.builder()
.readCapacityUnits(globalSecondaryIndexReadCapacityUnits)
.writeCapacityUnits(globalSecondaryIndexWriteCapacityUnits)
.build();
// Define the warm throughput for the Global Secondary Index (GSI)
final WarmThroughput gsiWarmThroughput = buildWarmThroughput(globalSecondaryIndexWarmReadUnitsPerSecond, globalSecondaryIndexWarmWriteUnitsPerSecond);
final GlobalSecondaryIndex globalSecondaryIndex = GlobalSecondaryIndex.builder()
.indexName(globalSecondaryIndexName)
.keySchema(gsiKeySchema)
.projection(gsiProjection)
.provisionedThroughput(gsiProvisionedThroughput)
.warmThroughput(gsiWarmThroughput)
.build();
// Define the warm throughput for the table
final WarmThroughput tableWarmThroughput = buildWarmThroughput(tableWarmReadUnitsPerSecond, tableWarmWriteUnitsPerSecond);
final CreateTableRequest request = CreateTableRequest.builder()
.tableName(tableName)
.attributeDefinitions(attributeDefinitions)
.keySchema(keySchema)
.provisionedThroughput(provisionedThroughput)
.globalSecondaryIndexes(globalSecondaryIndex)
.warmThroughput(tableWarmThroughput)
.build();
CreateTableResponse response = ddb.createTable(request);
System.out.println(response);
}
```
------
#### [ Python ]
```
from boto3 import resource
from botocore.exceptions import ClientError
def create_dynamodb_table_warm_throughput(table_name, partition_key, sort_key, misc_key_attr, non_key_attr, table_provisioned_read_units, table_provisioned_write_units, table_warm_reads, table_warm_writes, gsi_name, gsi_provisioned_read_units, gsi_provisioned_write_units, gsi_warm_reads, gsi_warm_writes, region_name="us-east-1"):
"""
Creates a DynamoDB table with a warm throughput setting configured.
:param table_name: The name of the table to be created.
:param partition_key: The partition key for the table being created.
:param sort_key: The sort key for the table being created.
:param misc_key_attr: A miscellaneous key attribute for the table being created.
:param non_key_attr: A non-key attribute for the table being created.
:param table_provisioned_read_units: The newly created table's provisioned read capacity units.
:param table_provisioned_write_units: The newly created table's provisioned write capacity units.
:param table_warm_reads: The read units per second setting for the table's warm throughput.
:param table_warm_writes: The write units per second setting for the table's warm throughput.
:param gsi_name: The name of the Global Secondary Index (GSI) to be created on the table.
:param gsi_provisioned_read_units: The configured Global Secondary Index (GSI) provisioned read capacity units.
:param gsi_provisioned_write_units: The configured Global Secondary Index (GSI) provisioned write capacity units.
:param gsi_warm_reads: The read units per second setting for the Global Secondary Index (GSI)'s warm throughput.
:param gsi_warm_writes: The write units per second setting for the Global Secondary Index (GSI)'s warm throughput.
:param region_name: The AWS Region name to target. defaults to us-east-1
"""
try:
ddb = resource('dynamodb', region_name)
# Define the table attributes
attribute_definitions = [
{ "AttributeName": partition_key, "AttributeType": "S" },
{ "AttributeName": sort_key, "AttributeType": "S" },
{ "AttributeName": misc_key_attr, "AttributeType": "N" }
]
# Define the table key schema
key_schema = [
{ "AttributeName": partition_key, "KeyType": "HASH" },
{ "AttributeName": sort_key, "KeyType": "RANGE" }
]
# Define the provisioned throughput for the table
provisioned_throughput = {
"ReadCapacityUnits": table_provisioned_read_units,
"WriteCapacityUnits": table_provisioned_write_units
}
# Define the global secondary index
gsi_key_schema = [
{ "AttributeName": sort_key, "KeyType": "HASH" },
{ "AttributeName": misc_key_attr, "KeyType": "RANGE" }
]
gsi_projection = {
"ProjectionType": "INCLUDE",
"NonKeyAttributes": [non_key_attr]
}
gsi_provisioned_throughput = {
"ReadCapacityUnits": gsi_provisioned_read_units,
"WriteCapacityUnits": gsi_provisioned_write_units
}
gsi_warm_throughput = {
"ReadUnitsPerSecond": gsi_warm_reads,
"WriteUnitsPerSecond": gsi_warm_writes
}
global_secondary_indexes = [
{
"IndexName": gsi_name,
"KeySchema": gsi_key_schema,
"Projection": gsi_projection,
"ProvisionedThroughput": gsi_provisioned_throughput,
"WarmThroughput": gsi_warm_throughput
}
]
# Define the warm throughput for the table
warm_throughput = {
"ReadUnitsPerSecond": table_warm_reads,
"WriteUnitsPerSecond": table_warm_writes
}
# Create the DynamoDB client and create the table
response = ddb.create_table(
TableName=table_name,
AttributeDefinitions=attribute_definitions,
KeySchema=key_schema,
ProvisionedThroughput=provisioned_throughput,
GlobalSecondaryIndexes=global_secondary_indexes,
WarmThroughput=warm_throughput
)
print(response)
except ClientError as e:
print(f"Error creating table: {e}")
raise e
```
------
#### [ Javascript ]
```
import { DynamoDBClient, CreateTableCommand } from "@aws-sdk/client-dynamodb";
async function createDynamoDBTableWithWarmThroughput(
tableName,
partitionKey,
sortKey,
miscKeyAttr,
nonKeyAttr,
tableProvisionedReadUnits,
tableProvisionedWriteUnits,
tableWarmReads,
tableWarmWrites,
indexName,
indexProvisionedReadUnits,
indexProvisionedWriteUnits,
indexWarmReads,
indexWarmWrites,
region = "us-east-1"
) {
try {
const ddbClient = new DynamoDBClient({ region: region });
const command = new CreateTableCommand({
TableName: tableName,
AttributeDefinitions: [
{ AttributeName: partitionKey, AttributeType: "S" },
{ AttributeName: sortKey, AttributeType: "S" },
{ AttributeName: miscKeyAttr, AttributeType: "N" },
],
KeySchema: [
{ AttributeName: partitionKey, KeyType: "HASH" },
{ AttributeName: sortKey, KeyType: "RANGE" },
],
ProvisionedThroughput: {
ReadCapacityUnits: tableProvisionedReadUnits,
WriteCapacityUnits: tableProvisionedWriteUnits,
},
WarmThroughput: {
ReadUnitsPerSecond: tableWarmReads,
WriteUnitsPerSecond: tableWarmWrites,
},
GlobalSecondaryIndexes: [
{
IndexName: indexName,
KeySchema: [
{ AttributeName: sortKey, KeyType: "HASH" },
{ AttributeName: miscKeyAttr, KeyType: "RANGE" },
],
Projection: {
ProjectionType: "INCLUDE",
NonKeyAttributes: [nonKeyAttr],
},
ProvisionedThroughput: {
ReadCapacityUnits: indexProvisionedReadUnits,
WriteCapacityUnits: indexProvisionedWriteUnits,
},
WarmThroughput: {
ReadUnitsPerSecond: indexWarmReads,
WriteUnitsPerSecond: indexWarmWrites,
},
},
],
});
const response = await ddbClient.send(command);
console.log(response);
} catch (error) {
console.error(`Error creating table: ${error}`);
throw error;
}
}
```
------