nanoid
dynamodb-toolbox
nanoid | dynamodb-toolbox | |
---|---|---|
83 | 16 | |
23,227 | 1,735 | |
- | - | |
8.4 | 6.9 | |
3 days ago | 3 days ago | |
JavaScript | TypeScript | |
MIT License | MIT License |
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nanoid
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Next.js and Bunny CDN: Complete Guide to Image Uploading with Server Actions
Last thing left is to use our new upload function in our server action. Since I like to upload images in single format and have some more control over them, I will additionally use sharp library. For file name, I'll generate some random string using nanoid:
- Nano ID Collision Calculator
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Why we chose Bun
Our API is in node. And God, how I suffered to import nanoid in an esmodule project. I had to vendor it, since using a previous version was not ideal. With bun, we can no longer worry about that. Just import what you need and done.
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UUIDv7 is coming in PostgreSQL 17
No thread about UUID is complete without a plug for NanoID! https://github.com/ai/nanoid/blob/main/README.md
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Building a File Storage With Next.js, PostgreSQL, and Minio S3
Generate a unique file name using the nanoid library.
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Building a Multi-Tenant App with FastAPI, SQLModel, and PropelAuth
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?
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You Don't Need UUID
I usually go for Nano Id for new projects https://github.com/ai/nanoid
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Enhance Your Web Apps: Best JS Libraries 🔧
Nano ID
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Analyzing New Unique Identifier Formats (UUIDv6, UUIDv7, and UUIDv8) (2022)
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.
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How I use Nano ID in Rails
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.
dynamodb-toolbox
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[UPDATED] The DynamoDB-Toolbox v1 beta is here 🙌 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 🙌 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 👍
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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!
What are some alternatives?
snowflake - Snowflake is a network service for generating unique ID numbers at high scale with some simple guarantees.
typedorm - Strongly typed ORM for DynamoDB - Built with the single-table-design pattern in mind.
ksuid - K-Sortable Globally Unique IDs
dynamoose - Dynamoose is a modeling tool for Amazon's DynamoDB
dynamodb-onetable - DynamoDB access and management for one table designs with NodeJS
pg_random_id - Provides pseudo-random IDs in Postgresql databases
middy - 🛵 The stylish Node.js middleware engine for AWS Lambda 🛵
jest - Delightful JavaScript Testing.
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.
Numeral-js - A javascript library for formatting and manipulating numbers.
typebridge - Typescript toolbox for AWS EventBridge