dynamodb-toolbox VS nanoid

One of them was that it had originally been coded in JavaScript. Although Jeremy rewrote the source code in TypeScript in 2020, it didn't handle type inference, a feature that I eventually came to implement myself in the v0.4.

If you have in mind features that I missed, or would like to see some of the ones I mentioned prioritised, please comment this article and/or create an issue or open a discussion on the official repo with the v1 label 👍

For instance, here is an example of the same UpdateCommand with one of those wrappers, DynamoDB-Toolbox:

Note that all these entities will belong to the same DynamoDB table. We define only one partition key and one sort key for this table: both of type string. Key is the values we provide for these keys. As you can imagine, this quickly can become a bit tangled mess. Therefore I recommend to express this 'schema' (e.g. of what types of keys we lay over our base table) in code. Later in this article I will show how this can be accomplished using the DynamoDB Toolbox framework.

I use single table design with app sync through this library: https://github.com/jeremydaly/dynamodb-toolbox

Serverless Cloud further reduces the cognitive load on developers by automatically applying best practices for APIs, data, storage, CDNs, and more. For example, Jeremy Daly, GM of Serverless Cloud, created the DynamoDB Toolbox to help developers implement the best practices of single table design for Amazon DynamoDB. Serverless Data bakes in those best practices for you and provides a simple interface to manage your data. Similarly, your API endpoint will automatically have a sufficient amount of computational resources by simply using the api interface of our SDK. Serverless Cloud continuously adapts the best configuration for your application, letting you focus on solving business problems, not infrastructure ones.

I like the idea, especially since I found libraries like https://github.com/jeremydaly/dynamodb-toolbox or https://github.com/sensedeep/dynamodb-onetable not elastic or up to date enough for me and reverted to raw AWS SDK. I look forward to AWS SDK v3 support in your typings!

As a result, I developed dynaglue for this purpose, and highly recommend the use of something like it when developing with DynamoDB (alternatives I've seen include DynamoDB Toolbox, TypeORM and DynamoDB OneTable).

Moreover, the ecosystem of DynamoDB is constantly growing. There are more and more tools providing useful abstractions like DynamoDB Toolbox by Jeremy Daly for working with single-table design, Dynamoose for ORM-like experience, AWS Amplify which hides the DynamoDB layer from the programmer completely, or Dynobase which helps you in navigating between profiles, regions, tables and exploring datasets.

No thread about UUID is complete without a plug for NanoID! https://github.com/ai/nanoid/blob/main/README.md

Generate a unique file name using the nanoid library.

The syntax should read similar to SQL itself. We’re using a Python port of nanoid to generate our IDs. There’s only one thing missing… how do we actually create the table?

I usually go for Nano Id for new projects https://github.com/ai/nanoid

In another comment I mentioned I use nanoid in my projects now. It has a default space of 64^21 and has an a page where you can play with key lengths and alphabet sizes and see the probability of collisions :

https://zelark.github.io/nano-id-cc/

At the default 64 character alphabet with a 21 character key length it would take ~41 million years in order to have a 1% probability of at least one collision if you generated 1000 ids per second.

I’ve started using nanoid for generated ids. Here is the JavaScript version:

https://github.com/ai/nanoid

Some info from that page:

- Safe. It uses hardware random generator. Can be used in clusters.

- Short IDs. It uses a larger alphabet than UUID (A-Za-z0-9_-). So ID size was reduced from 36 to 21 symbols.

- Portable. Nano ID was ported to 20 programming languages.

Introducing Nano ID. Nano ID is a tiny, URL-friendly, and unique string ID generator. Nano ID is a library for generating random IDs that still have probability of duplicate IDs. However, this probability is extremely small and it is based on the rules you defined. Here are the features of Nano ID:

Using randomly generated IDs like Nano ID could be a good alternative, however, as a developer, we must understand what Nano ID really does in our application. Defining the number of characters in the generated IDs is also important, to help with that Nano ID has a Collision Calculator to give us how many years in order to have a 1% probability of collision.

bin: Sometimes it may be desired or even crucial for a package to provide a command line interface, take a testing framework like jest as an example. NPM allows packages to publish executable binaries for this purpose, and as a convention they're usually placed in this directory. Example from nanoid.

The development began two months ago and we have not encountered any scaling issues yet, as the majority of users self-host. Therefore, our priority was focused on building apps. Is there anything you believe we should consider?

You are correct, repeating the same index twice is a mistake. That's why I love open source.

We are using nano id (https://www.npmjs.com/package/nanoid) for all entities, It's stored as varchar in the database.