提高現有 DynamoDB 資料表的暖輸送量 - Amazon DynamoDB

本文為英文版的機器翻譯版本,如內容有任何歧義或不一致之處,概以英文版為準。

提高現有 DynamoDB 資料表的暖輸送量

檢查完 DynamoDB 資料表目前的暖輸送量值後,請依下列步驟進行更新:

若要透過 DynamoDB 主控台檢查 DynamoDB 資料表的暖輸送量值:

  1. 登入 AWS 管理主控台 ,並在 https://https://console.aws.amazon.com/dynamodb/ 開啟 DynamoDB 主控台。

  2. 在左側導覽窗格中,選擇 Tables (資料表)。

  3. 資料表頁面上,選取目標資料表。

  4. 暖輸送量欄位中,選取編輯

  5. 編輯暖輸送量頁面上,選擇提高暖輸送量

  6. 調整每秒讀取單位每秒寫入單位。這兩個設定決定資料表可立即處理的輸送量上限。

  7. 選取 Save (儲存)。

  8. 當請求處理完成後,暖輸送量欄位會更新每秒讀取單位每秒寫入單位的最新值。

    注意

    更新暖輸送量值為非同步作業。當更新完成時,Status 會從 UPDATING 變更為 ACTIVE

下列 AWS CLI 範例示範如何更新 DynamoDB 資料表的暖輸送量值。

  1. 在 DynamoDB 資料表上執行 update-table 操作。

    aws dynamodb update-table \ --table-name GameScores \ --warm-throughput ReadUnitsPerSecond=12345,WriteUnitsPerSecond=4567 \ --global-secondary-index-updates \ "[ { \"Update\": { \"IndexName\": \"GameTitleIndex\", \"WarmThroughput\": { \"ReadUnitsPerSecond\": 88, \"WriteUnitsPerSecond\": 77 } } } ]" \ --region us-east-1
  2. 系統會傳回類似下列的回應。WarmThroughput 設定會顯示為 ReadUnitsPerSecondWriteUnitsPerSecond。當暖輸送量值正在更新時,Status 會顯示為 UPDATING;當設定完成後,則顯示為 ACTIVE

    { "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": "ACTIVE", "CreationDateTime": 1730242189.965, "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": "ACTIVE", "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": 50, "WriteUnitsPerSecond": 25, "Status": "UPDATING" } } ], "DeletionProtectionEnabled": false, "WarmThroughput": { "ReadUnitsPerSecond": 12300, "WriteUnitsPerSecond": 4500, "Status": "UPDATING" } } }

下列 SDK 範例示範如何更新 DynamoDB 資料表的暖輸送量設定。

Java
import software.amazon.awssdk.services.dynamodb.DynamoDbClient; import software.amazon.awssdk.services.dynamodb.model.DynamoDbException; import software.amazon.awssdk.services.dynamodb.model.GlobalSecondaryIndexUpdate; import software.amazon.awssdk.services.dynamodb.model.UpdateGlobalSecondaryIndexAction; import software.amazon.awssdk.services.dynamodb.model.UpdateTableRequest; 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 void updateDynamoDBTable(DynamoDbClient ddb, String tableName, Long tableReadUnitsPerSecond, Long tableWriteUnitsPerSecond, String globalSecondaryIndexName, Long globalSecondaryIndexReadUnitsPerSecond, Long globalSecondaryIndexWriteUnitsPerSecond) { final WarmThroughput tableWarmThroughput = buildWarmThroughput(tableReadUnitsPerSecond, tableWriteUnitsPerSecond); final WarmThroughput gsiWarmThroughput = buildWarmThroughput(globalSecondaryIndexReadUnitsPerSecond, globalSecondaryIndexWriteUnitsPerSecond); final GlobalSecondaryIndexUpdate globalSecondaryIndexUpdate = GlobalSecondaryIndexUpdate.builder() .update(UpdateGlobalSecondaryIndexAction.builder() .indexName(globalSecondaryIndexName) .warmThroughput(gsiWarmThroughput) .build() ).build(); final UpdateTableRequest request = UpdateTableRequest.builder() .tableName(tableName) .globalSecondaryIndexUpdates(globalSecondaryIndexUpdate) .warmThroughput(tableWarmThroughput) .build(); try { ddb.updateTable(request); } catch (DynamoDbException e) { System.err.println(e.getMessage()); System.exit(1); } System.out.println("Done!"); }
Python
from boto3 import resource from botocore.exceptions import ClientError def update_dynamodb_table_warm_throughput(table_name, table_read_units, table_write_units, gsi_name, gsi_read_units, gsi_write_units, region_name="us-east-1"): """ Updates the warm throughput of a DynamoDB table and a global secondary index. :param table_name: The name of the table to update. :param table_read_units: The new read units per second for the table's warm throughput. :param table_write_units: The new write units per second for the table's warm throughput. :param gsi_name: The name of the global secondary index to update. :param gsi_read_units: The new read units per second for the GSI's warm throughput. :param gsi_write_units: The new write units per second for the GSI's warm throughput. :param region_name: The AWS Region name to target. defaults to us-east-1 """ try: ddb = resource('dynamodb', region_name) # Update the table's warm throughput table_warm_throughput = { "ReadUnitsPerSecond": table_read_units, "WriteUnitsPerSecond": table_write_units } # Update the global secondary index's warm throughput gsi_warm_throughput = { "ReadUnitsPerSecond": gsi_read_units, "WriteUnitsPerSecond": gsi_write_units } # Construct the global secondary index update global_secondary_index_update = [ { "Update": { "IndexName": gsi_name, "WarmThroughput": gsi_warm_throughput } } ] # Construct the update table request update_table_request = { "TableName": table_name, "GlobalSecondaryIndexUpdates": global_secondary_index_update, "WarmThroughput": table_warm_throughput } # Update the table ddb.update_table(**update_table_request) print("Table updated successfully!") except ClientError as e: print(f"Error updating table: {e}") raise e
Javascript
import { DynamoDBClient, UpdateTableCommand } from "@aws-sdk/client-dynamodb"; async function updateDynamoDBTableWarmThroughput( tableName, tableReadUnits, tableWriteUnits, gsiName, gsiReadUnits, gsiWriteUnits, region = "us-east-1" ) { try { const ddbClient = new DynamoDBClient({ region: region }); // Construct the update table request const updateTableRequest = { TableName: tableName, GlobalSecondaryIndexUpdates: [ { Update: { IndexName: gsiName, WarmThroughput: { ReadUnitsPerSecond: gsiReadUnits, WriteUnitsPerSecond: gsiWriteUnits, }, }, }, ], WarmThroughput: { ReadUnitsPerSecond: tableReadUnits, WriteUnitsPerSecond: tableWriteUnits, }, }; const command = new UpdateTableCommand(updateTableRequest); const response = await ddbClient.send(command); console.log(`Table updated successfully! Response: ${response}`); } catch (error) { console.error(`Error updating table: ${error}`); throw error; } }