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Creazione di una nuova tabella DynamoDB con throughput caldo più elevato - Amazon DynamoDB

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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 o di un indice secondario.

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/

  2. Seleziona Crea tabella.

  3. Seleziona un Nome tabella, una Chiave di partizione e una Chiave di ordinamento (opzionale).

  4. Per Impostazioni tabella, seleziona Personalizza impostazioni.

  5. Nel campo Throughput a caldo, seleziona Aumentare il throughput a caldo.

  6. 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.

  7. Continua ad aggiungere i dettagli rimanenti della tabella, quindi seleziona Crea tabella.

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
  2. Riceverai una risposta simile a quella seguente. Le impostazioni sul WarmThroughput verranno visualizzate come ReadUnitsPerSecond eWriteUnitsPerSecond. 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" } } }

Gli esempi dell’SDK seguenti mostrano come creare una tabella DynamoDB con valori di throughput a caldo personalizzati.

Java
SDK per Java 2.x

Creare una tabella DynamoDB con throughput a caldo con AWS SDK for Java 2.x.

import software.amazon.awssdk.services.dynamodb.DynamoDbClient; import software.amazon.awssdk.services.dynamodb.model.AttributeDefinition; import software.amazon.awssdk.services.dynamodb.model.CreateTableRequest; import software.amazon.awssdk.services.dynamodb.model.CreateTableResponse; import software.amazon.awssdk.services.dynamodb.model.GlobalSecondaryIndex; import software.amazon.awssdk.services.dynamodb.model.KeySchemaElement; import software.amazon.awssdk.services.dynamodb.model.KeyType; import software.amazon.awssdk.services.dynamodb.model.Projection; import software.amazon.awssdk.services.dynamodb.model.ProvisionedThroughput; 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(); } /** * Builds a ProvisionedThroughput object with the specified read and write capacity units. * * @param readCapacityUnits The read capacity units * @param writeCapacityUnits The write capacity units * @return A configured ProvisionedThroughput object */ public static ProvisionedThroughput buildProvisionedThroughput( final Long readCapacityUnits, final Long writeCapacityUnits) { return ProvisionedThroughput.builder() .readCapacityUnits(readCapacityUnits) .writeCapacityUnits(writeCapacityUnits) .build(); } /** * Builds an AttributeDefinition with the specified name and type. * * @param attributeName The attribute name * @param scalarAttributeType The attribute type * @return A configured AttributeDefinition */ private static AttributeDefinition buildAttributeDefinition( final String attributeName, final ScalarAttributeType scalarAttributeType) { return AttributeDefinition.builder() .attributeName(attributeName) .attributeType(scalarAttributeType) .build(); } /** * Builds a KeySchemaElement with the specified name and key type. * * @param attributeName The attribute name * @param keyType The key type (HASH or RANGE) * @return A configured KeySchemaElement */ private static KeySchemaElement buildKeySchemaElement(final String attributeName, final KeyType keyType) { return KeySchemaElement.builder() .attributeName(attributeName) .keyType(keyType) .build(); } /** * Creates a DynamoDB table with the specified configuration including warm throughput settings. * * @param ddb The DynamoDB client * @param tableName The name of the table to create * @param partitionKey The partition key attribute name * @param sortKey The sort key attribute name * @param miscellaneousKeyAttribute Additional key attribute name for GSI * @param nonKeyAttribute Non-key attribute to include in GSI projection * @param tableReadCapacityUnits Read capacity units for the table * @param tableWriteCapacityUnits Write capacity units for the table * @param tableWarmReadUnitsPerSecond Warm read units per second for the table * @param tableWarmWriteUnitsPerSecond Warm write units per second for the table * @param globalSecondaryIndexName The name of the GSI to create * @param globalSecondaryIndexReadCapacityUnits Read capacity units for the GSI * @param globalSecondaryIndexWriteCapacityUnits Write capacity units for the GSI * @param globalSecondaryIndexWarmReadUnitsPerSecond Warm read units per second for the GSI * @param globalSecondaryIndexWarmWriteUnitsPerSecond Warm write units per second for the GSI */ public static void createDynamoDBTable( final DynamoDbClient ddb, final String tableName, final String partitionKey, final String sortKey, final String miscellaneousKeyAttribute, final String nonKeyAttribute, final Long tableReadCapacityUnits, final Long tableWriteCapacityUnits, final Long tableWarmReadUnitsPerSecond, final Long tableWarmWriteUnitsPerSecond, final String globalSecondaryIndexName, final Long globalSecondaryIndexReadCapacityUnits, final Long globalSecondaryIndexWriteCapacityUnits, final Long globalSecondaryIndexWarmReadUnitsPerSecond, final 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 = buildProvisionedThroughput(tableReadCapacityUnits, tableWriteCapacityUnits); // 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(PROJECTION_TYPE_INCLUDE) .nonKeyAttributes(nonKeyAttribute) .build(); final ProvisionedThroughput gsiProvisionedThroughput = buildProvisionedThroughput(globalSecondaryIndexReadCapacityUnits, globalSecondaryIndexWriteCapacityUnits); // 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(); final CreateTableResponse response = ddb.createTable(request); System.out.println(response); }
  • Per i dettagli sulle API, consulta la sezione API CreateTableReference AWS SDK for Java 2.x .

JavaScript
SDK per JavaScript (v3)

Creare una tabella DynamoDB con throughput a caldo con AWS SDK per JavaScript.

import { DynamoDBClient, CreateTableCommand } from "@aws-sdk/client-dynamodb"; export 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); return response; } catch (error) { console.error(`Error creating table: ${error}`); throw error; } } // Example usage (commented out for testing) /* createDynamoDBTableWithWarmThroughput( 'example-table', 'pk', 'sk', 'gsiKey', 'data', 10, 10, 5, 5, 'example-index', 5, 5, 2, 2 ); */
  • Per i dettagli sull'API, consulta la sezione AWS SDK per JavaScript API CreateTableReference.

Python
SDK per Python (Boto3)

Creare una tabella DynamoDB con throughput a caldo con AWS SDK per Python (Boto3).

from boto3 import client 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 = client("dynamodb", region_name=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) return response except ClientError as e: print(f"Error creating table: {e}") raise e
  • Per i dettagli sull'API, consulta CreateTable AWSSDK for Python (Boto3) API Reference.