

# Create a new DynamoDB table with higher warm throughput
<a name="create-table-warm-throughput"></a>

You can adjust the warm throughput values when you create your DynamoDB table by following the steps below. These steps also apply when creating a [global table](GlobalTables.md) or [secondary index](SecondaryIndexes.md).

## AWS Management Console
<a name="warm-throughput-create-console"></a>

To create a DynamoDB table and adjust the warm throughput values through the console:

1. Sign in to the AWS Management Console and open the DynamoDB console at [https://console.aws.amazon.com/dynamodb/](https://console.aws.amazon.com/dynamodb/).

1. Select **Create table**.

1. Choose a **Table name**, **Partition key**, and **Sort key (optional)**.

1. For **Table settings**, choose **Customize settings**.

1. In the **Warm throughput **field, choose **Increase warm throughput.**

1. Adjust the **read units per second** and **write units pers second**. These two settings define the maximum throughput your table can instantly handle.

1. Continue adding any remaining table details and then select **Create table**.

## AWS CLI
<a name="warm-throughput-create-CLI"></a>

The following AWS CLI example shows you how to create a DynamoDB table with customized warm throughput values.

1. Run the `create-table` operation to create the following DynamoDB table.

   ```
   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
   ```

1. You’ll receive a response similar to the one below. Your `WarmThroughput` settings will be displayed as `ReadUnitsPerSecond` and `WriteUnitsPerSecond`. The `Status` will be `UPDATING` when the warm throughput value is being updated, and `ACTIVE` when the new warm throughput value is set.

   ```
   {
       "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"
           }
       }
   }
   ```

## AWS SDK
<a name="warm-throughput-create-SDK"></a>

The following SDK examples shows you how to create a DynamoDB table with customized warm throughput values.

------
#### [ 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;
  }
}
```

------