You can use a sparse global secondary index to locate table items that have an uncommon attribute. These share the same partition key, but have different attributes for the range key. Sparse Indexes for Filtering A sparse (secondary) index intentionally excludes certain items from your table to help satisfy a query (aka not merely as a result of PK/SK overloading). In this example, let's show how we might use a sparse index for our global secondary index. are automatically maintained as sparse objects. However, the requirement of using a primary key limits the access patterns of a table. Understanding how to use sparse indexes might also help you reconsider which access patterns the user-facing piece of your application actually needs. Sparse Global Secondary Indexes. Using a table's primary key is the most efficient way to retrieve Items and avoids using the slow Scan operation.. When you write an item, DynamoDB only copies it to the secondary index if the item has elements of the specified key schema for that index. DynamoDB will backfill the global secondary index based on the existing data in the table. Up to this point, most read operations have used a table's primary key directly, either through the GetItem call or the Query call. As can be seen from the above example, there can be thousands of items in your table but if there is only one item … Sparse index. A sparse index is when not every Item contains the attribute you're indexing. I think they fit for what I need, but I am not completely sure how to implement them. Items will only appear in an index if they exist in the table on which the index is defined, making queries an index very efficient; DynamoDB Secondary indexes supports two types Global secondary index – an index with a partition key and a sort key that can be different from those on the base table In the last example, we saw how to use the partition key to filter our results. Learn about secondary indexes with AWS DynamoDB. DynamoDB: Sparse Indexes. For example, modeling your application to get a list of all your users when it’s only used for internal reporting might be an unnecessary use of DynamoDB’s power. In this section, we’ll look at a different tool for filtering — the sparse index. With DynamoDB, you can create secondary indexes. I am new to dynamodb, and I came across sparse indexes. AWS DynamoDB supports two types of indexes: Global Secondary Index (GSI) and Local Secondary Index (LSI). We are designing an application which will use DynamoDB as storage system. 4. 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