dynamodb-toolbox
zod
dynamodb-toolbox | zod | |
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16 | 294 | |
1,749 | 31,015 | |
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7.0 | 9.3 | |
8 days ago | 4 days ago | |
TypeScript | TypeScript | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dynamodb-toolbox
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[UPDATED] The DynamoDB-Toolbox v1 beta is here π All you need to know!
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.
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The DynamoDB-Toolbox v1 beta is here π All you need to know!
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 π
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An in-depth comparison of the most popular DynamoDB wrappers
For instance, here is an example of the same UpdateCommand with one of those wrappers, DynamoDB-Toolbox:
- DynamoDB Toolbox
- A simple set of tools for working with Amazon DynamoDB and the DocumentClient
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Ask HN: Has serverless matured enough for creating user facing APIs?
It's been mature enough for at least four years.
1. Not an issue for me. Connection reuse support in Lambda is quite good
2. NoSQL is a good skill to keep your in bucket anyhow. DynamoDB is a different approach, but much of the same tenets you'll find in other NoSQL databases still apply. Using tools like dynamodb-toolbox [1] help greatly with paradigm shifts into Dynamo.
3. True. Ask yourself how much this matters. How likely is it that you'll need to support another cloud provider for a single product? In 20 years I've seen a platform provider switch exactly once. And DynamoDB can be exported easily.
4. Nope. But there are things to learn about cold starts; how to structure code, where to initialize things, which things should be singletons, etc.
5. Depends on the situations and needs. The right tool for the right job, if you will. I've written GraphQL servers that run on lambda which serve 300k users daily. I've also done the same using Fargate/ECS et al. Much of the decisions revolve around complexity of execution and cost factors (e.g. the cost and complexity of running lambda's to process data often versus a Fargate service). You're getting into Software Architecture now.
6. Again, depends on the situation. You'll need to start thinking about what individual services/components/things are doing, what they need, and how they need to run. Gather that information, and then start cost comparisons using the pricing tools the provider has.
[1] https://github.com/jeremydaly/dynamodb-toolbox
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Beginners Guide to DynamoDB with Node.js
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.
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Dynamodb design with Appsync
I use single table design with app sync through this library: https://github.com/jeremydaly/dynamodb-toolbox
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Unleashing the power of serverless for solo developers
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.
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TypeSafe type definitions for the AWS DynamoDB API
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!
zod
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Simplifying Form Validation with Zod and React Hook Form
[Zod Documentation](https://zod.dev/) [Zod Error Handling](https://zod.dev/ERROR_HANDLING?id=error-handling-in-zod) [React-Hook-Form Documentation](https://react-hook-form.com/get-started) [Hookform Resolvers](https://www.npmjs.com/package/@hookform/resolvers)
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Figma's Journey to TypeScript
This is a very fair comment, and you seem open to understanding why types are useful.
"problems that are due to typing" is a very difficult thing to unpack because types can mean _so_ many things.
Static types are absolutely useless (and, really, a net negative) if you're not using them well.
Types don't help if you don't spend the time modeling with the type system. You can use the type system to your advantage to prevent invalid states from being represented _at all_.
As an example, consider a music player that keeps track of the current song and the current position in the song.
If you model this naively you might do something like: https://gist.github.com/shepherdjerred/d0f57c99bfd69cf9eada4...
In the example above you _are_ using types. It might not be obvious that some of these issues can be solved with stronger types, that is, you might say that "You rarely see problems that are due to typing".
Here's an example where the type system can give you a lot more safety: https://gist.github.com/shepherdjerred/0976bc9d86f0a19a75757...
You'll notice that this kind of safety is pretty limited. If you're going to write a music app, you'll probably need API calls, local storage, URL routes, etc.
TypeScript's typechecking ends at the "boundaries" of the type system, e.g. it cannot automatically typecheck your fetch or localStorage calls return the correct types. If you're casting, you're bypassing the type systems and making it worthless. Runtime type checking libraries like Zod [0] can take care of this for you and are able to typecheck at the boundaries of your app so that the type system can work _extremely_ well.
[0]: https://zod.dev/ note: I mentioned Zod because I like it. There are _many_ similar libraries.
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From Flaky to Flawless: Angular API Response Management with Zod
Zod is an open-source schema declaration and validation library that emphasizes TypeScript. It can refer to any data type, from simple to complex. Zod eliminates duplicative type declarations by inferring static TypeScript types and allows easy composition of complex data structures from simpler ones. It has no dependencies, is compatible with Node.js and modern browsers, and has a concise, chainable interface. Zod is lightweight (8kb when zipped), immutable, with methods returning new instances. It encourages parsing over validation and is not limited to TypeScript but works well with JavaScript as well.
- TypeScript Essentials: Distinguishing Types with Branding
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You canβt run away from runtime errors using TypeScript
Zod is a TypeScript-first schema declaration and validation library. It helps create schemas for any data type and is very developer-friendly. Zod has the functional approach of "parse, don't validate." It supports coercion in all primitive types.
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Best Next.js Libraries and Tools in 2024
Link: https://zod.dev/
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Popular Libraries For Building Type-safe Web Application APIs
You can check out their documentation here.
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Epic Next JS 14 Tutorial Part 4: How To Handle Login And Authentication in Next.js
You can learn more about Zod on their website here.
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What even is a JSON number?
In JS, it's a good idea anyway to use some JSON parsing library instead of JSON.parse.
With Zod, you can use z.bigint() parser. If you take the "parse any JSON" snippet https://zod.dev/?id=json-type and change z.number() to z.bigint(), it should do what you are looking for.
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Error handling in our form component for the NextAuth CredentialsProvider
We will validate our input using client-side zod. Zod handles TypeScript-first schema validation with static type inference. This means that it will not only validate your fields, it will also set types on validated fields.
What are some alternatives?
typedorm - Strongly typed ORM for DynamoDB - Built with the single-table-design pattern in mind.
class-validator - Decorator-based property validation for classes.
dynamoose - Dynamoose is a modeling tool for Amazon's DynamoDB
joi - The most powerful data validation library for JS [Moved to: https://github.com/sideway/joi]
dynamodb-onetable - DynamoDB access and management for one table designs with NodeJS
typebox - Json Schema Type Builder with Static Type Resolution for TypeScript
middy - π΅ The stylish Node.js middleware engine for AWS Lambda π΅
Yup - Dead simple Object schema validation
nanoid - A tiny (124 bytes), secure, URL-friendly, unique string ID generator for JavaScript
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
aws-lambda-power-tuning - AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
io-ts - Runtime type system for IO decoding/encoding