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Asked: 2025-01-01T21:59:24+05:30

How can data be re-fetched from one microservice after performing a mutation in a different microservice when using RTK?

I’ve been diving into some interesting challenges with data management in a microservices architecture, and I stumbled upon a scenario that’s a bit tricky. So, here’s the deal: I’m using Redux Toolkit Query (RTK) for interacting with my microservices, and I need some help from the community.

Let’s say I have two microservices: one handles user profiles and the other deals with user posts. When a user updates their profile through the user profiles service, I need the latest posts data to be re-fetched automatically from the posts service. The main goal here is to keep everything in sync, right? But I’m not entirely sure what’s the best approach to make that happen using RTK.

Here’s the flow I’m imagining: once the profile update mutation goes through, I should trigger a re-fetch of the posts automatically. I know I can use `invalidateTags` in RTK to manage cache, but I’m trying to figure out the best way to hook everything up. For instance, should I use a polling mechanism, or is there a more elegant way to handle this in RTK?

Additionally, I’ve read about using `onQueryStarted` to manage optimistic updates, which sounds powerful. But, how do I tie that back to re-fetching data after a mutation from a completely different service? I want to avoid stale data on the frontend and ensure users get the latest content seamlessly.

Also, I’m curious about the user experience. Does anyone have experience with how to manage loading states during these fetches? Any tips on how to keep the UI responsive and maintain a smooth experience while waiting for data to refresh?

I’d love to hear any thoughts or experiences you’ve had about making these inter-service communications more fluid with RTK. Any code snippets or best practices would be super helpful! Thanks!

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    2 Answers

    1. It sounds like you’re diving into some cool stuff with microservices and RTK! For your scenario, you can definitely keep things in sync without too much hassle.

      When a user updates their profile, you can use the `invalidateTags` in RTK Query. This lets you tell the posts service to refetch data when certain actions occur in your user profiles service. So, after the profile update mutation, you’d want to use `invalidateTags` to mark the relevant posts as stale.

      
    // Example of using invalidateTags in the profile update
    const profileUpdate = profileApi.endpoints.updateProfile.useMutation({
        async onQueryStarted(arg, { dispatch }) {
            // Optimistic update logic here...
            // After updating:
            dispatch(postsApi.util.invalidateTags([{ type: 'Post', id: 'LIST' }]));
        },
    });

      Now, as for polling, that’s usually more resource-intensive than just doing the invalidate approach. You don’t need to poll if you just let RTK handle the re-fetch when the cache is invalidated. It’s lightweight and should fit well into your current architecture.

      Regarding fetching data from another service, `onQueryStarted` is indeed handy! Just make sure to hook into it after your update mutation completes. This is where you can handle optimistic updates too, and it’s nice because it helps avoid stale data while waiting for the mutation to finish.

      For the user experience, loading states are super important! You could use a loading spinner or a skeleton screen to show that data is being fetched. Make sure to manage those loading states in your components, possibly using a simple conditional rendering based on the loading state from your RTK queries:

      
    {isLoading ?  : }

      Overall, the goal is to make sure users get the latest posts right after their profile updates. Try to keep things simple, and don’t hesitate to experiment. The community is full of people who have faced similar issues, so you’re definitely on the right path. Good luck!

    2. To maintain synchronization between the user profile and user posts microservices in a Redux Toolkit Query (RTK) setup, you can effectively use the `invalidateTags` feature. After successfully updating the user’s profile through the profile service mutation, you should construct a query using the tag associated with the user’s posts in the RTK slice, such as `tags: [{ type: ‘Posts’, id: userId }]`. By calling `invalidateTags` on the posts query within the `onSuccess` or `onQueryStarted` lifecycle hooks of your profile mutation, RTK will automatically re-fetch the latest posts related to that user, keeping the data current without needing to implement a polling mechanism. Instead of polling, leveraging this invalidation on mutation success is a more elegant solution that minimizes unnecessary network requests while ensuring your data freshness.

      To enhance user experience during these updates, implementing loading states and optimistic updates is crucial. You can manage loading states by using local component state or by using the `isLoading` property from the RTK Query response object associated with your query. When the mutation is triggered to update the user’s profile, you can set a loading state to render a spinner or a message that informs users of the ongoing update while fetching new posts. To tie the optimistic updates back to your posts fetching, utilize the `onQueryStarted` function to optimistically update the frontend’s UI before the latest data is returned, giving users immediate feedback. This way, you can ensure that the UI remains responsive and fluid while data is being fetched, ultimately enhancing the user experience.