Buat tabel DynamoDB baru dengan throughput hangat yang lebih tinggi - Amazon DynamoDB

Terjemahan disediakan oleh mesin penerjemah. Jika konten terjemahan yang diberikan bertentangan dengan versi bahasa Inggris aslinya, utamakan versi bahasa Inggris.

Buat tabel DynamoDB baru dengan throughput hangat yang lebih tinggi

Anda dapat menyesuaikan nilai throughput hangat saat membuat tabel DynamoDB dengan mengikuti langkah-langkah di bawah ini. Langkah-langkah ini juga berlaku saat membuat tabel global atau indeks sekunder.

Untuk membuat tabel DynamoDB dan menyesuaikan nilai throughput hangat melalui konsol:

  1. Masuk ke AWS Management Console dan buka konsol DynamoDB di. https://console.aws.amazon.com/dynamodb/

  2. Pilih Buat tabel.

  3. Pilih nama Table, Partition key, dan Sort key (opsional).

  4. Untuk pengaturan Tabel, pilih Sesuaikan pengaturan.

  5. Di bidang throughput hangat, pilih Tingkatkan throughput hangat.

  6. Sesuaikan unit baca per detik dan tulis satuan per detik. Kedua pengaturan ini menentukan throughput maksimum yang dapat ditangani oleh tabel Anda secara instan.

  7. Lanjutkan menambahkan detail tabel yang tersisa dan kemudian pilih Buat tabel.

AWS CLI Contoh berikut menunjukkan cara membuat tabel DynamoDB dengan nilai throughput hangat yang disesuaikan.

  1. Jalankan create-table operasi untuk membuat tabel DynamoDB berikut.

    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. Anda akan menerima respons yang mirip dengan yang di bawah ini. WarmThroughputPengaturan Anda akan ditampilkan sebagai ReadUnitsPerSecond danWriteUnitsPerSecond. Itu Status akan terjadi UPDATING ketika nilai throughput hangat sedang diperbarui, dan ACTIVE ketika nilai throughput hangat baru ditetapkan.

    { "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" } } }

Contoh SDK berikut menunjukkan cara membuat tabel DynamoDB dengan nilai throughput hangat yang disesuaikan.

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; } }