Create a DynamoDB Table
To build the backend for our notes app, it makes sense that we first start by thinking about how the data is going to be stored. We are going to use DynamoDB to do this.
Amazon DynamoDB is a fully managed NoSQL database that provides fast and predictable performance with seamless scalability. Similar to other databases, DynamoDB stores data in tables. Each table contains multiple items, and each item is composed of one or more attributes. We are going to cover some basics in the following chapters. But to get a better feel for it, here is a great guide on DynamoDB.
First, log in to your AWS Console and select DynamoDB from the list of services.
Select Create table.
Enter the Table name and Primary key info as shown below. Just make sure that
noteId are in camel case.
Each DynamoDB table has a primary key, which cannot be changed once set. The primary key uniquely identifies each item in the table, so that no two items can have the same key. DynamoDB supports two different kinds of primary keys:
- Partition key
- Partition key and sort key (composite)
We are going to use the composite primary key which gives us additional flexibility when querying the data. For example, if you provide only the value for
userId, DynamoDB would retrieve all of the notes by that user. Or you could provide a value for
userId and a value for
noteId, to retrieve a particular note.
To further your understanding of how indexes work in DynamoDB, you can read more here: DynamoDB Core Components
Next scroll down and deselect Use default settings.
Scroll down further and select On-demand instead of Provisioned.
On-Demand Capacity is DynamoDB’s pay per request mode. For workloads that are not predictable or if you are just starting out, this ends up being a lot cheaper than the Provisioned Capacity mode.
Finally, scroll down and hit Create.
notes table has now been created. If you find yourself stuck with the Table is being created message; refresh the page manually.
It is also a good idea to set up backups for your DynamoDB table, especially if you are planning to use it in production. We cover this in an extra-credit chapter, Backups in DynamoDB.
Next, we’ll set up an S3 bucket to handle file uploads.
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