Refine•3y ago

is it possible to paginate the useMany hook?

I'm using the useMany hook in order to fetch relational data from multiple Airtable tables. It is really slow, is there any way to optimize this?

kapa.ai•12/6/23, 6:36 PM

Hi @jawmes.. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base.

kapa.ai•12/6/23, 6:37 PM

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Hmm, I don't know enough to give you a confident answer yet. The provided extracts do not contain information about paginating the useManyuseMany hook or optimizing its performance.

However, the useManyuseMany hook is used to fetch multiple records in a single request by providing the

id

id

's of the related records. This is particularly useful when you need to fetch related data for multiple records. It fetches data from a resource and returns an array of records.

Here is an example of how to use the useManyuseMany hook:

import { useMany } from "@refinedev/core";  

const { data } = useMany({  
 resource: "categories",  
 ids: blogPosts.map((blogPost) => blogPost.category.id),  
});

import { useMany } from "@refinedev/core";  

const { data } = useMany({  
 resource: "categories",  
 ids: blogPosts.map((blogPost) => blogPost.category.id),  
});

In this example, the useManyuseMany hook fetches the full category records for each blog post by passing the

resource

resource

and

ids

ids

to the

dataProvider

dataProvider

's getManygetMany function. The

dataProvider

dataProvider

then makes a single request to the API to fetch the full records for each category related to the blog posts. The resulting

data

data

variable is an array of category records.

For more information, you can refer to the useManyuseMany documentation (https://refine.dev/docs/core/hooks/data/use-many/).
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kapa.ai•12/6/23, 6:37 PM

@632698368958791681 kapa.ai is still learning and improving, please let us know how it did by reacting below

colourful-plum•12/7/23, 8:58 AM

Hello @jawmes. I think it's a question for Airtable, not refine, as we are only responsible for sending requests.