DynamoDB / Client / batch_write_item
batch_write_item#
- DynamoDB.Client.batch_write_item(**kwargs)#
The
BatchWriteItem
operation puts or deletes multiple items in one or more tables. A single call toBatchWriteItem
can transmit up to 16MB of data over the network, consisting of up to 25 item put or delete operations. While individual items can be up to 400 KB once stored, it’s important to note that an item’s representation might be greater than 400KB while being sent in DynamoDB’s JSON format for the API call. For more details on this distinction, see Naming Rules and Data Types.Note
BatchWriteItem
cannot update items. If you perform aBatchWriteItem
operation on an existing item, that item’s values will be overwritten by the operation and it will appear like it was updated. To update items, we recommend you use theUpdateItem
action.The individual
PutItem
andDeleteItem
operations specified inBatchWriteItem
are atomic; howeverBatchWriteItem
as a whole is not. If any requested operations fail because the table’s provisioned throughput is exceeded or an internal processing failure occurs, the failed operations are returned in theUnprocessedItems
response parameter. You can investigate and optionally resend the requests. Typically, you would callBatchWriteItem
in a loop. Each iteration would check for unprocessed items and submit a newBatchWriteItem
request with those unprocessed items until all items have been processed.For tables and indexes with provisioned capacity, if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then
BatchWriteItem
returns aProvisionedThroughputExceededException
. For all tables and indexes, if none of the items can be processed due to other throttling scenarios (such as exceeding partition level limits), thenBatchWriteItem
returns aThrottlingException
.Warning
If DynamoDB returns any unprocessed items, you should retry the batch operation on those items. However, we strongly recommend that you use an exponential backoff algorithm. If you retry the batch operation immediately, the underlying read or write requests can still fail due to throttling on the individual tables. If you delay the batch operation using exponential backoff, the individual requests in the batch are much more likely to succeed.
For more information, see Batch Operations and Error Handling in the Amazon DynamoDB Developer Guide.
With
BatchWriteItem
, you can efficiently write or delete large amounts of data, such as from Amazon EMR, or copy data from another database into DynamoDB. In order to improve performance with these large-scale operations,BatchWriteItem
does not behave in the same way as individualPutItem
andDeleteItem
calls would. For example, you cannot specify conditions on individual put and delete requests, andBatchWriteItem
does not return deleted items in the response.If you use a programming language that supports concurrency, you can use threads to write items in parallel. Your application must include the necessary logic to manage the threads. With languages that don’t support threading, you must update or delete the specified items one at a time. In both situations,
BatchWriteItem
performs the specified put and delete operations in parallel, giving you the power of the thread pool approach without having to introduce complexity into your application.Parallel processing reduces latency, but each specified put and delete request consumes the same number of write capacity units whether it is processed in parallel or not. Delete operations on nonexistent items consume one write capacity unit.
If one or more of the following is true, DynamoDB rejects the entire batch write operation:
One or more tables specified in the
BatchWriteItem
request does not exist.Primary key attributes specified on an item in the request do not match those in the corresponding table’s primary key schema.
You try to perform multiple operations on the same item in the same
BatchWriteItem
request. For example, you cannot put and delete the same item in the sameBatchWriteItem
request.Your request contains at least two items with identical hash and range keys (which essentially is two put operations).
There are more than 25 requests in the batch.
Any individual item in a batch exceeds 400 KB.
The total request size exceeds 16 MB.
Any individual items with keys exceeding the key length limits. For a partition key, the limit is 2048 bytes and for a sort key, the limit is 1024 bytes.
See also: AWS API Documentation
Request Syntax
response = client.batch_write_item( RequestItems={ 'string': [ { 'PutRequest': { 'Item': { 'string': { 'S': 'string', 'N': 'string', 'B': b'bytes', 'SS': [ 'string', ], 'NS': [ 'string', ], 'BS': [ b'bytes', ], 'M': { 'string': {'... recursive ...'} }, 'L': [ {'... recursive ...'}, ], 'NULL': True|False, 'BOOL': True|False } } }, 'DeleteRequest': { 'Key': { 'string': { 'S': 'string', 'N': 'string', 'B': b'bytes', 'SS': [ 'string', ], 'NS': [ 'string', ], 'BS': [ b'bytes', ], 'M': { 'string': {'... recursive ...'} }, 'L': [ {'... recursive ...'}, ], 'NULL': True|False, 'BOOL': True|False } } } }, ] }, ReturnConsumedCapacity='INDEXES'|'TOTAL'|'NONE', ReturnItemCollectionMetrics='SIZE'|'NONE' )
- Parameters:
RequestItems (dict) –
[REQUIRED]
A map of one or more table names or table ARNs and, for each table, a list of operations to be performed (
DeleteRequest
orPutRequest
). Each element in the map consists of the following:DeleteRequest
- Perform aDeleteItem
operation on the specified item. The item to be deleted is identified by aKey
subelement:Key
- A map of primary key attribute values that uniquely identify the item. Each entry in this map consists of an attribute name and an attribute value. For each primary key, you must provide all of the key attributes. For example, with a simple primary key, you only need to provide a value for the partition key. For a composite primary key, you must provide values for both the partition key and the sort key.
PutRequest
- Perform aPutItem
operation on the specified item. The item to be put is identified by anItem
subelement:Item
- A map of attributes and their values. Each entry in this map consists of an attribute name and an attribute value. Attribute values must not be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests that contain empty values are rejected with aValidationException
exception. If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table’s attribute definition.
(string) –
(list) –
(dict) –
Represents an operation to perform - either
DeleteItem
orPutItem
. You can only request one of these operations, not both, in a singleWriteRequest
. If you do need to perform both of these operations, you need to provide two separateWriteRequest
objects.PutRequest (dict) –
A request to perform a
PutItem
operation.Item (dict) – [REQUIRED]
A map of attribute name to attribute values, representing the primary key of an item to be processed by
PutItem
. All of the table’s primary key attributes must be specified, and their data types must match those of the table’s key schema. If any attributes are present in the item that are part of an index key schema for the table, their types must match the index key schema.(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
S (string) –
An attribute of type String. For example:
"S": "Hello"
N (string) –
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) –
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) –
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
(string) –
NS (list) –
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
(string) –
BS (list) –
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
(bytes) –
M (dict) –
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
L (list) –
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N": "3.14159"}]
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
NULL (boolean) –
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) –
An attribute of type Boolean. For example:
"BOOL": true
DeleteRequest (dict) –
A request to perform a
DeleteItem
operation.Key (dict) – [REQUIRED]
A map of attribute name to attribute values, representing the primary key of the item to delete. All of the table’s primary key attributes must be specified, and their data types must match those of the table’s key schema.
(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
S (string) –
An attribute of type String. For example:
"S": "Hello"
N (string) –
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) –
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) –
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
(string) –
NS (list) –
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
(string) –
BS (list) –
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
(bytes) –
M (dict) –
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
L (list) –
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N": "3.14159"}]
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
NULL (boolean) –
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) –
An attribute of type Boolean. For example:
"BOOL": true
ReturnConsumedCapacity (string) –
Determines the level of detail about either provisioned or on-demand throughput consumption that is returned in the response:
INDEXES
- The response includes the aggregateConsumedCapacity
for the operation, together withConsumedCapacity
for each table and secondary index that was accessed. Note that some operations, such asGetItem
andBatchGetItem
, do not access any indexes at all. In these cases, specifyingINDEXES
will only returnConsumedCapacity
information for table(s).TOTAL
- The response includes only the aggregateConsumedCapacity
for the operation.NONE
- NoConsumedCapacity
details are included in the response.
ReturnItemCollectionMetrics (string) – Determines whether item collection metrics are returned. If set to
SIZE
, the response includes statistics about item collections, if any, that were modified during the operation are returned in the response. If set toNONE
(the default), no statistics are returned.
- Return type:
dict
- Returns:
Response Syntax
{ 'UnprocessedItems': { 'string': [ { 'PutRequest': { 'Item': { 'string': { 'S': 'string', 'N': 'string', 'B': b'bytes', 'SS': [ 'string', ], 'NS': [ 'string', ], 'BS': [ b'bytes', ], 'M': { 'string': {'... recursive ...'} }, 'L': [ {'... recursive ...'}, ], 'NULL': True|False, 'BOOL': True|False } } }, 'DeleteRequest': { 'Key': { 'string': { 'S': 'string', 'N': 'string', 'B': b'bytes', 'SS': [ 'string', ], 'NS': [ 'string', ], 'BS': [ b'bytes', ], 'M': { 'string': {'... recursive ...'} }, 'L': [ {'... recursive ...'}, ], 'NULL': True|False, 'BOOL': True|False } } } }, ] }, 'ItemCollectionMetrics': { 'string': [ { 'ItemCollectionKey': { 'string': { 'S': 'string', 'N': 'string', 'B': b'bytes', 'SS': [ 'string', ], 'NS': [ 'string', ], 'BS': [ b'bytes', ], 'M': { 'string': {'... recursive ...'} }, 'L': [ {'... recursive ...'}, ], 'NULL': True|False, 'BOOL': True|False } }, 'SizeEstimateRangeGB': [ 123.0, ] }, ] }, 'ConsumedCapacity': [ { 'TableName': 'string', 'CapacityUnits': 123.0, 'ReadCapacityUnits': 123.0, 'WriteCapacityUnits': 123.0, 'Table': { 'ReadCapacityUnits': 123.0, 'WriteCapacityUnits': 123.0, 'CapacityUnits': 123.0 }, 'LocalSecondaryIndexes': { 'string': { 'ReadCapacityUnits': 123.0, 'WriteCapacityUnits': 123.0, 'CapacityUnits': 123.0 } }, 'GlobalSecondaryIndexes': { 'string': { 'ReadCapacityUnits': 123.0, 'WriteCapacityUnits': 123.0, 'CapacityUnits': 123.0 } } }, ] }
Response Structure
(dict) –
Represents the output of a
BatchWriteItem
operation.UnprocessedItems (dict) –
A map of tables and requests against those tables that were not processed. The
UnprocessedItems
value is in the same form asRequestItems
, so you can provide this value directly to a subsequentBatchWriteItem
operation. For more information, seeRequestItems
in the Request Parameters section.Each
UnprocessedItems
entry consists of a table name or table ARN and, for that table, a list of operations to perform (DeleteRequest
orPutRequest
).DeleteRequest
- Perform aDeleteItem
operation on the specified item. The item to be deleted is identified by aKey
subelement:Key
- A map of primary key attribute values that uniquely identify the item. Each entry in this map consists of an attribute name and an attribute value.
PutRequest
- Perform aPutItem
operation on the specified item. The item to be put is identified by anItem
subelement:Item
- A map of attributes and their values. Each entry in this map consists of an attribute name and an attribute value. Attribute values must not be null; string and binary type attributes must have lengths greater than zero; and set type attributes must not be empty. Requests that contain empty values will be rejected with aValidationException
exception. If you specify any attributes that are part of an index key, then the data types for those attributes must match those of the schema in the table’s attribute definition.
If there are no unprocessed items remaining, the response contains an empty
UnprocessedItems
map.(string) –
(list) –
(dict) –
Represents an operation to perform - either
DeleteItem
orPutItem
. You can only request one of these operations, not both, in a singleWriteRequest
. If you do need to perform both of these operations, you need to provide two separateWriteRequest
objects.PutRequest (dict) –
A request to perform a
PutItem
operation.Item (dict) –
A map of attribute name to attribute values, representing the primary key of an item to be processed by
PutItem
. All of the table’s primary key attributes must be specified, and their data types must match those of the table’s key schema. If any attributes are present in the item that are part of an index key schema for the table, their types must match the index key schema.(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
S (string) –
An attribute of type String. For example:
"S": "Hello"
N (string) –
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) –
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) –
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
(string) –
NS (list) –
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
(string) –
BS (list) –
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
(bytes) –
M (dict) –
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
L (list) –
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N": "3.14159"}]
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
NULL (boolean) –
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) –
An attribute of type Boolean. For example:
"BOOL": true
DeleteRequest (dict) –
A request to perform a
DeleteItem
operation.Key (dict) –
A map of attribute name to attribute values, representing the primary key of the item to delete. All of the table’s primary key attributes must be specified, and their data types must match those of the table’s key schema.
(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
S (string) –
An attribute of type String. For example:
"S": "Hello"
N (string) –
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) –
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) –
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
(string) –
NS (list) –
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
(string) –
BS (list) –
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
(bytes) –
M (dict) –
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
L (list) –
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N": "3.14159"}]
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
NULL (boolean) –
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) –
An attribute of type Boolean. For example:
"BOOL": true
ItemCollectionMetrics (dict) –
A list of tables that were processed by
BatchWriteItem
and, for each table, information about any item collections that were affected by individualDeleteItem
orPutItem
operations.Each entry consists of the following subelements:
ItemCollectionKey
- The partition key value of the item collection. This is the same as the partition key value of the item.SizeEstimateRangeGB
- An estimate of item collection size, expressed in GB. This is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on the table. Use this estimate to measure whether a local secondary index is approaching its size limit. The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
(string) –
(list) –
(dict) –
Information about item collections, if any, that were affected by the operation.
ItemCollectionMetrics
is only returned if the request asked for it. If the table does not have any local secondary indexes, this information is not returned in the response.ItemCollectionKey (dict) –
The partition key value of the item collection. This value is the same as the partition key value of the item.
(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
S (string) –
An attribute of type String. For example:
"S": "Hello"
N (string) –
An attribute of type Number. For example:
"N": "123.45"
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
B (bytes) –
An attribute of type Binary. For example:
"B": "dGhpcyB0ZXh0IGlzIGJhc2U2NC1lbmNvZGVk"
SS (list) –
An attribute of type String Set. For example:
"SS": ["Giraffe", "Hippo" ,"Zebra"]
(string) –
NS (list) –
An attribute of type Number Set. For example:
"NS": ["42.2", "-19", "7.5", "3.14"]
Numbers are sent across the network to DynamoDB as strings, to maximize compatibility across languages and libraries. However, DynamoDB treats them as number type attributes for mathematical operations.
(string) –
BS (list) –
An attribute of type Binary Set. For example:
"BS": ["U3Vubnk=", "UmFpbnk=", "U25vd3k="]
(bytes) –
M (dict) –
An attribute of type Map. For example:
"M": {"Name": {"S": "Joe"}, "Age": {"N": "35"}}
(string) –
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
L (list) –
An attribute of type List. For example:
"L": [ {"S": "Cookies"} , {"S": "Coffee"}, {"N": "3.14159"}]
(dict) –
Represents the data for an attribute.
Each attribute value is described as a name-value pair. The name is the data type, and the value is the data itself.
For more information, see Data Types in the Amazon DynamoDB Developer Guide.
NULL (boolean) –
An attribute of type Null. For example:
"NULL": true
BOOL (boolean) –
An attribute of type Boolean. For example:
"BOOL": true
SizeEstimateRangeGB (list) –
An estimate of item collection size, in gigabytes. This value is a two-element array containing a lower bound and an upper bound for the estimate. The estimate includes the size of all the items in the table, plus the size of all attributes projected into all of the local secondary indexes on that table. Use this estimate to measure whether a local secondary index is approaching its size limit.
The estimate is subject to change over time; therefore, do not rely on the precision or accuracy of the estimate.
(float) –
ConsumedCapacity (list) –
The capacity units consumed by the entire
BatchWriteItem
operation.Each element consists of:
TableName
- The table that consumed the provisioned throughput.CapacityUnits
- The total number of capacity units consumed.
(dict) –
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.TableName (string) –
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.
CapacityUnits (float) –
The total number of capacity units consumed by the operation.
ReadCapacityUnits (float) –
The total number of read capacity units consumed by the operation.
WriteCapacityUnits (float) –
The total number of write capacity units consumed by the operation.
Table (dict) –
The amount of throughput consumed on the table affected by the operation.
ReadCapacityUnits (float) –
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) –
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) –
The total number of capacity units consumed on a table or an index.
LocalSecondaryIndexes (dict) –
The amount of throughput consumed on each local index affected by the operation.
(string) –
(dict) –
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) –
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) –
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) –
The total number of capacity units consumed on a table or an index.
GlobalSecondaryIndexes (dict) –
The amount of throughput consumed on each global index affected by the operation.
(string) –
(dict) –
Represents the amount of provisioned throughput capacity consumed on a table or an index.
ReadCapacityUnits (float) –
The total number of read capacity units consumed on a table or an index.
WriteCapacityUnits (float) –
The total number of write capacity units consumed on a table or an index.
CapacityUnits (float) –
The total number of capacity units consumed on a table or an index.
Exceptions
DynamoDB.Client.exceptions.ProvisionedThroughputExceededException
DynamoDB.Client.exceptions.ItemCollectionSizeLimitExceededException
Examples
This example adds three new items to the Music table using a batch of three PutItem requests.
response = client.batch_write_item( RequestItems={ 'Music': [ { 'PutRequest': { 'Item': { 'AlbumTitle': { 'S': 'Somewhat Famous', }, 'Artist': { 'S': 'No One You Know', }, 'SongTitle': { 'S': 'Call Me Today', }, }, }, }, { 'PutRequest': { 'Item': { 'AlbumTitle': { 'S': 'Songs About Life', }, 'Artist': { 'S': 'Acme Band', }, 'SongTitle': { 'S': 'Happy Day', }, }, }, }, { 'PutRequest': { 'Item': { 'AlbumTitle': { 'S': 'Blue Sky Blues', }, 'Artist': { 'S': 'No One You Know', }, 'SongTitle': { 'S': 'Scared of My Shadow', }, }, }, }, ], }, ) print(response)
Expected Output:
{ 'ResponseMetadata': { '...': '...', }, }