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웜 처리량이 더 높은 새 DynamoDB 테이블 만들기 - Amazon DynamoDB

웜 처리량이 더 높은 새 DynamoDB 테이블 만들기

아래 단계에 따라 DynamoDB 테이블을 만들 때 웜 처리량 값을 조정할 수 있습니다. 이러한 단계는 글로벌 테이블 또는 보조 인덱스를 만들 때도 적용됩니다.

DynamoDB 테이블을 만들고 콘솔을 통해 웜 처리량 값을 조정하려면:

  1. AWS Management Console에 로그인하고 DynamoDB 콘솔(https://console.aws.amazon.com/dynamodb/)을 엽니다.

  2. 규칙 생성을 선택합니다.

  3. 테이블 이름, 파티션 키정렬 키(선택 사항)를 선택합니다.

  4. 테이블 설정에서 설정 사용자 지정을 선택합니다.

  5. 웜 처리량 필드에서 웜 처리량 증가를 선택합니다.

  6. 초당 읽기 단위초당 쓰기 단위를 조정합니다. 이 두 설정은 테이블이 즉시 처리할 수 있는 최대 처리량을 정의합니다.

  7. 나머지 테이블 세부 정보를 계속 추가한 다음 테이블 생성을 선택합니다.

다음 AWS CLI 예제에서는 사용자 지정 웜 처리량 값을 사용하여 DynamoDB 테이블을 만드는 방법을 보여줍니다.

  1. create-table 작업을 실행하여 다음 DynamoDB 테이블을 만듭니다.

    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. 아래와 비슷한 응답을 받게 됩니다. WarmThroughput 설정은 ReadUnitsPerSecondWriteUnitsPerSecond로 표시됩니다. Status는 웜 처리량 값이 업데이트될 때는 UPDATING, 새 웜 처리량 값이 설정되었을 때는 ACTIVE가 됩니다.

    { "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" } } }

다음 SDK 예제에서는 사용자 지정 웜 처리량 값을 사용하여 DynamoDB 테이블을 생성하는 방법을 보여줍니다.

Java
SDK for Java 2.x

AWS SDK for Java 2.x를 사용하여 웜 처리량 설정이 있는 DynamoDB 테이블을 만듭니다.

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); }
  • API 세부 정보는 AWS SDK for Java 2.x API 참조CreateTable을 참조하세요.

JavaScript
SDK for JavaScript(v3)

AWS SDK for JavaScript를 사용하여 웜 처리량 설정이 있는 DynamoDB 테이블을 만듭니다.

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 ); */
  • API 세부 정보는 AWS SDK for JavaScript API 참조CreateTable을 참조하세요.

Python
SDK for Python(Boto3)

AWS SDK for Python (Boto3)를 사용하여 웜 처리량 설정이 있는 DynamoDB 테이블을 만듭니다.

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
  • API 세부 정보는 AWS SDK for Python (Boto3) API 참조CreateTable를 참조하세요.