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DynamoDB  >  Structures  >  ConsumedCapacity

ConsumedCapacity

Structure Class

ConsumedCapacity dataclass

The capacity units consumed by an operation. The data returned includes the total provisioned throughput consumed, along with statistics for the table and any indexes involved in the operation. ConsumedCapacity is only returned if the request asked for it. For more information, see Provisioned capacity mode in the Amazon DynamoDB Developer Guide.

Attributes

capacity_units class-attribute instance-attribute
capacity_units: float | None = None

The total number of capacity units consumed by the operation.

global_secondary_indexes class-attribute instance-attribute
global_secondary_indexes: dict[str, Capacity] | None = None

The amount of throughput consumed on each global index affected by the operation.

local_secondary_indexes class-attribute instance-attribute
local_secondary_indexes: dict[str, Capacity] | None = None

The amount of throughput consumed on each local index affected by the operation.

read_capacity_units class-attribute instance-attribute
read_capacity_units: float | None = None

The total number of read capacity units consumed by the operation.

table class-attribute instance-attribute
table: Capacity | None = None

The amount of throughput consumed on the table affected by the operation.

table_name class-attribute instance-attribute
table_name: str | None = None

The name of the table that was affected by the operation. If you had specified the Amazon Resource Name (ARN) of a table in the input, you'll see the table ARN in the response.

vector_indexes class-attribute instance-attribute
vector_indexes: dict[str, VectorCapacity] | None = None

The amount of throughput consumed on each vector index affected by the operation. Each entry contains VectorWriteRequestBytes (for write operations) or VectorSearchRequestBytes (for search operations).

write_capacity_units class-attribute instance-attribute
write_capacity_units: float | None = None

The total number of write capacity units consumed by the operation.