Filter the data in a DynamoDB table by utilizing the most recent timestamp and email ID

How can I filter a user by email ID and retrieve the most recent entry for that user from my Dynamo database? The subscriptionID serves as the partition Key, and I do not have a secondary index or sort key set up. Is there a way to achieve this, or should I consider a different approach?

Here is my current Dynamo Query:

 var docClient = new AWS.DynamoDB.DocumentClient({ region: AWS.config.region });
 var params = {
  TableName: 'License',
  FilterExpression: "customerEmail = :email",       
  ExpressionAttributeValues: {
            ':email': email
        },
  };
  docClient.scan(params, function(err, data) {
      if (err) 
      {
      console.log(err);
      }
      else 
        {
         console.log('length ',data.Items.length);
         console.log(data.Items);
         
        
        }
    });

https://i.sstatic.net/wqxqi.png https://i.sstatic.net/g2Hbz.png

Answer №1

Using a scan in DynamoDB can be costly and should generally be avoided.

The current setup of using subscriptionID as the partition key does not facilitate retrieving an item by customer email efficiently. It is recommended to have a Primary Key with the user's email as the Partition Key and a timestamp (purchase date) as the Sort Key for optimal retrieval. By organizing your data in this manner, you can execute the following query:

query(
      TableName= 'License',
      KeyConditionExpression= '#pk = :pk',
      ExpressionAttributeNames={
          '#pk': 'subscriptionID'
      },
      ExpressionAttributeValues={
          ':pk': { 'S': '<a href="/cdn-cgi/l/email-protection" class="__cf_email__" data-cfemail="ee8f9e8f808a8b97ae9e9c8184879a8b8d8687808dc08d8183">[email protected]</a>' }
      },
      ScanIndexForward=False,
      Limit=1
)

Key points about this operation:

  1. This is a query operation, which is more efficient than a scan.
  2. ScanIndexForward=False sorts using the sort key in descending order.
  3. Limit=1 retrieves the top result, such as the latest entry.

Your current data storage method does not align well with this query. To address this, you have two options:

  1. Adjust how data is stored to support this access pattern, considering potential impacts on other patterns.
  2. Add a secondary index with the user email as the Partition Key and purchase date as the Sort Key.

To maximize DynamoDB efficiency, tables should be designed based on access patterns. Your current design may require modifications to better accommodate desired queries. While there are various ways to structure tables, the suggested pattern is common across many applications.

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