I am using DynamoDB to store my device events (in JSON format) into table for further analysis and using scan APIs to display the result set on UI, which requires
The above situation led me to think about some others noSQL database solutions, Please assist me on above mentioned issues.
The right way to think about DynamoDB is as a key-value store with support for indexes.
"Amazon DynamoDB supports key-value data structures. Each item (row) is a key-value pair where the primary key is the only required attribute for items in a table and uniquely identifies each item. DynamoDB is schema-less. Each item can have any number of attributes (columns). In addition to querying the primary key, you can query non-primary key attributes using Global Secondary Indexes and Local Secondary Indexes." https://aws.amazon.com/dynamodb/details/
A table can have 2 types of keys:
What kind of primary key have you set up for your Device Events table? I would suggest that you denormalize your data (i.e. pull specific attributes out of the json) and build additional indexes on those attributes that you want to sort and aggregate on: Date, Serial Number, etc. If I know what kind of primary key you have set up on your table, I can point you in the right direction to build these indices so that you can get what you need via the query method. The scan method will be inefficient for you because it reads every row in the table.
Lastly, with regard to your "limit offset" question, I think that you're looking for the ExclusiveStartKey, which will be returned by DynamoDB in the response to your query.
The ExclusiveStartKey is what will help you do pagination. It's not necessary to depend on the LastEvaluatedKey from the response. You'll get LastEvaluatedKey only if you are getting more than a MB worth data. If LIMIT page size is such that total returned data size is less than 1 MB, you'll not get back LastEvaluatedKey. But that does not stop you from using ExclusiveStartKey as an offset.
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