TanStack Query VS TypeScript

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Tanstack - Tanstack has evolved to an entire ecosystem consisting of the famous Tanstack (or React) Query, Tanstack Table, now also Tanstack Router and Tanstack Form. It started with Tanstack Query, which adopted Nx and Nx Cloud. Zack talked about this collab with Dominik, and we also had Dominik on our Nx live stream. Now, all the above-mentioned Tanstack libs have adopted Nx, and there's more coming.

"I’m building SQLSync because I want to make client-side applications easier to build without us having to reinvent the wheel each time."

Kinda ironic no?

Anyway, since the article is also about React, I can't recommend enough React Query [1] if you don't want to worry about caching data to reduce calls to the database and managing/refreshing stale data. It simplified so much my job.

[1] https://tanstack.com/query

Combine state with data fetching with react-query This should be the second choice since you have to fetch data anyway Skip this option if you are using trpc or prefer not to use react-query

onSuccess, onError and onSettled have been removed from Queries. They haven't been touched for Mutations. Please see this RFC for motivations behind this change and what to do instead.

so cacheTime was really confusing because it seemed like "this is the amount time we cache data for", but that's not what it is. So a rename had to happen. We had some discussion on the public roadmap (https://github.com/TanStack/query/discussions/4252) about what it's gonna be. I'm usually against abbreviations, simply because there's always someone who doesn't understand what it means. But all other suggestions like inactiveCacheTime also had room for interpretation. gc is an abbreviation that is known well enough (think git gc), and it's also not an option that you will customize on a daily basis (usually once, globally).

By the way, I think that useSWR and React Query take on too much. They go too deep into the multiple application layers, making themselves no longer “non-opinionated,” and in some cases, using them becomes inconvenient. There are libraries that implement the SWR standard and do not use hooks, but there are not many of them.

TanStack Query is an open source data fetching library in React developed by Tanner Linsley. It has more than 1.7 million weekly downloads on NPM and more than 35k stars on GitHub as of August 2023.

While we were fighting against the modules, we forgot one small detail - their built-in typings. Esbuild can't do this at all yet. Unbelievable, but the tsc, native TS compiler, also does not provide a typings concat feature. Got around this problem: we've introduced [a utility to combine typings](tsc-dts-fix of zx own code, and applied some monkey patches for external libdefs squashed via dts-bundle-generator.

Regular expressions are part of the language, so it's not so unreasonable that TypeScript should parse them and take their semantics into account. Indeed, TypeScript 5.5 will include [new support for syntax checking of regular expressions](https://github.com/microsoft/TypeScript/pull/55600), and presumably they'll eventually be able to solve the problem the GP highlighted on top of those foundations.

Dedicated syntax for creating unique subsets of a type that denote a particular refinement is a longstanding ask[2] - and very useful, we've experimented with implementations.[3]

I don't think it has any relation to runtime type checking at all. It's refinement types, [4] or newtypes[5] depending on the details and how you shape it.

[1] https://github.com/microsoft/TypeScript/blob/main/src/compil...

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TypeScript helps you in many ways in the context of a JavaScript app. It makes it easier to consume interfaces of any type.

In this guide, we'll be extracting information from Amazon product pages using the power of TypeScript in combination with the Cheerio and Crawlee libraries. We'll explore how to retrieve and extract detailed product data such as titles, prices, image URLs, and more from Amazon's vast marketplace. We'll also discuss handling potential blocking issues that may arise during the scraping process.

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