AWS SDK for .NET Documentation
BatchWriteItem Method (batchWriteItemRequest)
AmazonAmazon.DynamoDBv2AmazonDynamoDBClientBatchWriteItem(BatchWriteItemRequest) Did this page help you?   Yes   No    Tell us about it...

The BatchWriteItem operation puts or deletes multiple items in one or more tables. A single call to BatchWriteItem can write up to 1 MB of data, which can comprise as many as 25 put or delete requests. Individual items to be written can be as large as 64 KB.

NOTE: BatchWriteItem cannot update items. To update items, use the UpdateItem API.

The individual PutItem and DeleteItem operations specified in BatchWriteItem are atomic; however BatchWriteItem 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 the UnprocessedItems response parameter. You can investigate and optionally resend the requests. Typically, you would call BatchWriteItem in a loop. Each iteration would check for unprocessed items and submit a new BatchWriteItem request with those unprocessed items until all items have been processed.

Note that if none of the items can be processed due to insufficient provisioned throughput on all of the tables in the request, then BatchGetItem will throw a ProvisionedThroughputExceededException .

To write one item, you can use the PutItem operation; to delete one item, you can use the DeleteItem operation.

With BatchWriteItem , you can efficiently write or delete large amounts of data, such as from Amazon Elastic MapReduce (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 individual PutItem and DeleteItem calls would For example, you cannot specify conditions on individual put and delete requests, and BatchWriteItem does not return deleted items in the response.

If you use a programming language that supports concurrency, such as Java, 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, such as PHP, you must update or delete the specified items one at a time. In both situations, BatchWriteItem provides an alternative where the API 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:

Declaration Syntax
C#
public BatchWriteItemResponse BatchWriteItem(
	BatchWriteItemRequest batchWriteItemRequest
)
Parameters
batchWriteItemRequest (BatchWriteItemRequest)
Container for the necessary parameters to execute the BatchWriteItem service method on AmazonDynamoDBv2.
Return Value
The response from the BatchWriteItem service method, as returned by AmazonDynamoDBv2.
Examples

The following examples show how to batch items into two tables.

This example will construct a batch-write collection for the first table in the request. The request will include two Put operations and one Delete operation.

CopyBatchWrite sample - First table
// Create items to put into first table
Dictionary<string, AttributeValue> item1 = new Dictionary<string, AttributeValue>();
item1["Author"] = new AttributeValue { S = "Mark Twain" };
item1["Title"] = new AttributeValue { S = "A Connecticut Yankee in King Arthur's Court" };
item1["Pages"] = new AttributeValue { N = "575" };
Dictionary<string, AttributeValue> item2 = new Dictionary<string, AttributeValue>();
item2["Author"] = new AttributeValue { S = "Booker Taliaferro Washington" };
item2["Title"] = new AttributeValue { S = "My Larger Education" };
item2["Pages"] = new AttributeValue { N = "313" };
item2["Year"] = new AttributeValue { N = "1911" };

// Create key for item to delete from first table
//  Hash-key of the target item is string value "Mark Twain"
//  Range-key of the target item is string value "Tom Sawyer, Detective"
Dictionary<string, AttributeValue> keyToDelete1 = new Dictionary<string, AttributeValue>
{
    { "Author", new AttributeValue { S = "Mark Twain" } },
    { "Title", new AttributeValue { S = "Tom Sawyer, Detective" } }
};

// Construct write-request for first table
List<WriteRequest> sampleTableItems = new List<WriteRequest>();
sampleTableItems.Add(new WriteRequest
{
    PutRequest = new PutRequest { Item = item1 }
});
sampleTableItems.Add(new WriteRequest
{
    PutRequest = new PutRequest { Item = item2 }
});
sampleTableItems.Add(new WriteRequest
{
    DeleteRequest = new DeleteRequest { Key = keyToDelete1 }
});

This example will construct a batch-write collection for the second table in the request. The request will include one Delete operation.

CopyBatchWrite sample - Second table
// Create key for item to delete from second table
//  Hash-key of the target item is string value "Francis Scott Key Fitzgerald"
Dictionary<string, AttributeValue> keyToDelete2 = new Dictionary<string, AttributeValue>
{
    { "Author", new AttributeValue { S = "Francis Scott Key Fitzgerald" } },
};

// Construct write-request for first table
List<WriteRequest> authorsTableItems = new List<WriteRequest>();
authorsTableItems.Add(new WriteRequest
{
    DeleteRequest = new DeleteRequest { Key = keyToDelete2 }
});

This example will construct the BatchWrite request from the two earlier-created collections, will issue the call and in case some items are not processed, will attempt to write the remaining items.

CopyBatchWrite sample - Service calls
// Create a client
AmazonDynamoDBClient client = new AmazonDynamoDBClient();

// Construct table-keys mapping
Dictionary<string, List<WriteRequest>> requestItems = new Dictionary<string, List<WriteRequest>>();
requestItems["SampleTable"] = sampleTableItems;
requestItems["AuthorsTable"] = authorsTableItems;

BatchWriteItemRequest request = new BatchWriteItemRequest { RequestItems = requestItems };
BatchWriteItemResult result;
do
{
    // Issue request and retrieve items
    result = client.BatchWriteItem(request).BatchWriteItemResult;

    // Some items may not have been processed!
    //  Set RequestItems to the result's UnprocessedItems and reissue request
    request.RequestItems = result.UnprocessedItems;

} while (result.UnprocessedItems.Count > 0);
Exceptions

Assembly: AWSSDK (Module: AWSSDK) Version: 1.5.60.0 (1.5.60.0)