AWS SDK Version 3 for .NET
API Reference

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The Scan operation returns one or more items and item attributes by accessing every item in a table or a secondary index. To have DynamoDB return fewer items, you can provide a FilterExpression operation.

If the total number of scanned items exceeds the maximum data set size limit of 1 MB, the scan stops and results are returned to the user as a LastEvaluatedKey value to continue the scan in a subsequent operation. The results also include the number of items exceeding the limit. A scan can result in no table data meeting the filter criteria.

A single Scan operation will read up to the maximum number of items set (if using the Limit parameter) or a maximum of 1 MB of data and then apply any filtering to the results using FilterExpression. If LastEvaluatedKey is present in the response, you will need to paginate the result set. For more information, see Paginating the Results in the Amazon DynamoDB Developer Guide.

Scan operations proceed sequentially; however, for faster performance on a large table or secondary index, applications can request a parallel Scan operation by providing the Segment and TotalSegments parameters. For more information, see Parallel Scan in the Amazon DynamoDB Developer Guide.

Scan uses eventually consistent reads when accessing the data in a table; therefore, the result set might not include the changes to data in the table immediately before the operation began. If you need a consistent copy of the data, as of the time that the Scan begins, you can set the ConsistentRead parameter to true.

Note:

For PCL and Unity this operation is only available in asynchronous form. Please refer to ScanAsync.

Namespace: Amazon.DynamoDBv2
Assembly: AWSSDK.DynamoDBv2.dll
Version: 3.x.y.z

Syntax

C#
public abstract ScanResponse Scan(
         ScanRequest request
)
Parameters
request
Type: Amazon.DynamoDBv2.Model.ScanRequest

Container for the necessary parameters to execute the Scan service method.

Return Value
The response from the Scan service method, as returned by DynamoDB.

Exceptions

ExceptionCondition
InternalServerErrorException An error occurred on the server side.
ProvisionedThroughputExceededException Your request rate is too high. The AWS SDKs for DynamoDB automatically retry requests that receive this exception. Your request is eventually successful, unless your retry queue is too large to finish. Reduce the frequency of requests and use exponential backoff. For more information, go to Error Retries and Exponential Backoff in the Amazon DynamoDB Developer Guide.
ResourceNotFoundException The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be ACTIVE.

Examples

The following example shows how to scan items in a table.
Note: the Scan operation goes through every item in the table to check if the item matches all the scan conditions. This makes the Scan operation particularly slow and expensive (in terms of provisioned throughput).
We will now retrieve all items where the Pages attribute is greater than the numerical value "200" and where the Title attribute contains the string "Adventures".

Scan sample


// Create a client
AmazonDynamoDBClient client = new AmazonDynamoDBClient();

// Define scan conditions
Dictionary conditions = new Dictionary();

// Title attribute should contain the string "Adventures"
Condition titleCondition = new Condition();
titleCondition.ComparisonOperator = ComparisonOperator.CONTAINS;
titleCondition.AttributeValueList.Add(new AttributeValue { S = "Adventures" });
conditions["Title"] = titleCondition;

// Pages attributes must be greater-than the numeric value "200"
Condition pagesCondition = new Condition();
pagesCondition.ComparisonOperator = ComparisonOperator.GT;;
pagesCondition.AttributeValueList.Add(new AttributeValue { N = "200" });
conditions["Pages"] = pagesCondition;


// Define marker variable
Dictionary startKey = null;

do
{
    // Create Scan request
    ScanRequest request = new ScanRequest
    {
        TableName = "SampleTable",
        ExclusiveStartKey = startKey,
        ScanFilter = conditions
    };

    // Issue request
    ScanResult result = client.Scan(request);

    // View all returned items
    List> items = result.Items;
    foreach (Dictionary item in items)
    {
        Console.WriteLine("Item:");
        foreach (var keyValuePair in item)
        {
            Console.WriteLine("{0} : S={1}, N={2}, SS=[{3}], NS=[{4}]",
                keyValuePair.Key,
                keyValuePair.Value.S,
                keyValuePair.Value.N,
                string.Join(", ", keyValuePair.Value.SS ?? new List()),
                string.Join(", ", keyValuePair.Value.NS ?? new List()));
        }
    }

    // Set marker variable
    startKey = result.LastEvaluatedKey;
} while (startKey != null && startKey.Count > 0);

                

The following example shows how we can utilize parallel scan to partition a table into 10 segments and scan each segment in a separate thread.
To avoid resource contention between threads, the results will be written into 10 separate files. Each segment will have a file of its own.

Parallel scan sample


// Create a client
AmazonDynamoDBClient client = new AmazonDynamoDBClient();

// Define scan conditions
Dictionary conditions = new Dictionary();

// Pages attributes must be greater-than the numeric value "200"
Condition pagesCondition = new Condition();
pagesCondition.ComparisonOperator = ComparisonOperator.GT;
pagesCondition.AttributeValueList.Add(new AttributeValue { N = "200" });
conditions["Pages"] = pagesCondition;

// Setup 10 simultaneous threads, each thread calling Scan operation
// with its own segment value.
int totalSegments = 10;
Parallel.For(0, totalSegments, segment =>
{
    // Define marker variable
    Dictionary startKey = null;

    do
    {
        // Create Scan request
        ScanRequest request = new ScanRequest
        {
            TableName = "SampleTable",
            ExclusiveStartKey = startKey,
            ScanFilter = conditions,
            // Total segments to split the table into
            TotalSegments = totalSegments,
            // Current segment to scan
            Segment = segment
        };

        // Issue request
        var result = client.Scan(request);

        // Write returned items to file
        string path = string.Format("ParallelScan-{0}-of-{1}.txt", totalSegments, segment);
        List> items = result.Items;
        using (Stream stream = File.OpenWrite(path))
        using (StreamWriter writer = new StreamWriter(stream))
        {
            foreach (Dictionary item in items)
            {
                writer.WriteLine("Item:");
                foreach (var keyValuePair in item)
                {
                    writer.WriteLine("{0} : S={1}, N={2}, SS=[{3}], NS=[{4}]",
                        keyValuePair.Key,
                        keyValuePair.Value.S,
                        keyValuePair.Value.N,
                        string.Join(", ", keyValuePair.Value.SS ?? new List()),
                        string.Join(", ", keyValuePair.Value.NS ?? new List()));
                }
            }
        }

        // Set marker variable
        startKey = result.LastEvaluatedKey;
    } while (startKey != null && startKey.Count > 0);
});

                

Version Information

.NET Framework:
Supported in: 4.5, 4.0, 3.5

Portable Class Library:
Supported in: Windows Store Apps
Supported in: Windows Phone 8.1
Supported in: Xamarin Android
Supported in: Xamarin iOS (Unified)
Supported in: Xamarin.Forms

Unity:
Supported Versions: 4.6 and above
Supported Platforms: Android, iOS, Standalone

See Also