Buat tabel DynamoDB dengan pengaturan throughput hangat menggunakan SDK AWS

Contoh kode berikut menunjukkan cara membuat tabel dengan throughput hangat diaktifkan.

Java

SDK untuk Java 2.x

Buat tabel DynamoDB dengan pengaturan throughput hangat menggunakan. 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.ProjectionType;
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();
    }
    public static ProvisionedThroughput buildProvisionedThroughput(final Long readCapacityUnits,
                                                                   final Long writeCapacityUnits) {
        return ProvisionedThroughput.builder()
                .readCapacityUnits(readCapacityUnits)
                .writeCapacityUnits(writeCapacityUnits)
                .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 = 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(String.valueOf(ProjectionType.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();

        CreateTableResponse response = ddb.createTable(request);
        System.out.println(response);
    }

• Untuk detail API, lihat CreateTabledi Referensi AWS SDK for Java 2.x API.

JavaScript

SDK untuk JavaScript (v3)

Buat tabel DynamoDB dengan pengaturan throughput hangat menggunakan. AWS SDK untuk 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;
  }
}

• Untuk detail API, lihat CreateTabledi Referensi AWS SDK untuk JavaScript API.

Python

SDK untuk Python (Boto3)

Buat tabel DynamoDB dengan pengaturan throughput hangat menggunakan. AWS SDK untuk Python (Boto3)

from cgitb import reset

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

• Untuk detail API, lihat CreateTabledi AWS SDK for Python (Boto3) Referensi API.