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mode 100644 index 00000000..2776bdcc --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/arrays-lists.md @@ -0,0 +1,132 @@ +--- +id: tutorial-arrays-lists +title: Arrays and Lists +sidebar_label: Arrays and Lists +--- + +# Arrays and Lists + +So far we’ve only dealt with components that have a single instance of the components they’re composed from. For example, we’re only showing a single Newsfeed story, and within that story there’s just a single author with a single profile picture. Let’s look at how to handle more than one of something. + +GraphQL includes support for arrays, which in GraphQL are called _lists._ A field can be not only a single scalar value but an array of them, or not only a single edge but an array of edges. The schema specifies whether each field is a list or not, but, oddly, the GraphQL query syntax doesn’t distinguish between selecting a singular field and selecting a list — a quirky exception to the design principle that a GraphQL response should have the same shape as the query. + +Request: + +``` +query MyQuery { + viewer { + contacts { // List of edges + id // field on a single item + name + } + } +} +``` + +Response: + +``` +{ + viewer: { + contacts: [ // array in response + { + id: "123", + name: "Chris", + }, + { + id: "789", + name: "Sue", + } + ] + } +} +``` + +As it happens, the schema in our example app has a `topStories` field that returns a list of Stories, as opposed to the `topStory` field we're currently using that returns just one. + +To show multiple stories on our newsfeed, we just need to modify `Newsfeed.tsx` to use `topStories`. + +### Step 1 — Select a list in the fragment + +Open `Newsfeed.tsx` and find `NewsfeedQuery`. Replace `topStory` with `topStories`. + +``` +const NewsfeedQuery = graphql` + query NewsfeedQuery { + // change-line + topStories { + ...StoryFragment + } + } +`; +``` + +### Step 2 — Map over the list in the component + +In the `Newsfeed` component, `data.topStories` will now be an array of fragment refs, each of which can be passed to a `Story` child component to render that story: + +``` +export default function Newsfeed({}) { + const data = useLazyLoadQuery(NewsfeedQuery, {}); + // change-line + const stories = data.topStories; + return ( +
+ // change-line + {stories.map(story => )} +
+ ); +} +``` + +### Step 3 — Add a React key based on the node ID + +At this point, you should see multiple stories on the screen! It's beginning to look like a proper newsfeed app. + +![Multiple stories](/img/docs/tutorial/arrays-top-stories-screenshot.png) + +However, we're also getting a React warning that we're rendering an array of components without [providing a key attribute](https://reactjs.org/docs/lists-and-keys.html). + +![React missing key warning](/img/docs/tutorial/arrays-keys-warning-screenshot.png) + +It's always important to heed this warning, and more specifically to base keys on the identity of the things being displayed, rather than simply their indices in the array. This allows React to handle reordering and deleting items from the list correctly, since it knows which items are which even if their order changes. + +Luckily, GraphQL nodes generally have IDs. We can simply select the `id` field of `story` and use it as a key: + +``` +const NewsfeedQuery = graphql` + query NewsfeedQuery { + topStories { + // change-line + id + ...StoryFragment + } + } +`; + +... + +export default function Newsfeed({}) { + const data = useLazyLoadQuery(NewsfeedQuery, {}); + const stories = data.topStories; + return ( +
+ {stories.map(story => ( + + )} +
+ ); +} +``` + +With that, we've got a collection of Stories on the screen. It's worth pointing out that here we're mixing individual fields with fragment spreads in the same place in our query. This means that Newsfeed can read the fields it cares about (directly from `useLazyLoadQuery`) while Story can read the fields it cares about (via `useFragment`). The _same object_ both contains Newsfeed's selected field `id` and is also a fragment key for `StoryFragment`. + +:::tip +GraphQL Lists are only the most basic way of dealing with collections of things. We’ll build on them to do pagination and infinite scrolling later in the tutorial, using a special system called Connections. You’ll want to use Connections in most situations where you have a collection of items — although you’ll still use GraphQL Lists as a building block. +::: + +Onward! diff --git a/rescript-relay-documentation/docs/tutorial/connections-pagination.md b/rescript-relay-documentation/docs/tutorial/connections-pagination.md new file mode 100644 index 00000000..3edb067d --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/connections-pagination.md @@ -0,0 +1,494 @@ +--- +id: tutorial-connections-pagination +title: Connections & Pagination +sidebar_label: Connections & Pagination +--- + +# Connections & Pagination + +In this section, we’ll see how to handle collections of many items, including paginated lists and infinite scrolling. In Relay, paginated and infinite-scrolled lists are handled using an abstraction known as a _Connection_. + +--- + +Relay does a lot of the work for you when handling paginated collections of items. But to do that, it relies on a specific convention for how those collections are modeled in your schema. This convention is powerful and flexible, and comes out of experience building many products with collections of items. Let’s step through the design process for this schema convention so that we can understand why it works this way. + +There are three important points to understand: + +- Edges themselves have properties — for example, in a list of your friends, the date when you friended that person is a property of the edge between you, rather than of the other person per se. We handle this by creating _nodes that represent the edges_. +- The list itself has properties, such as whether or not there is a next page available. We handle this with a node that represent the list itself as well as one for the current page. +- Pagination is done by _cursors_ — opaque symbols that point to the next page of results — rather than offsets. + +Imagine we want to show a list of the user’s friends. An a high level, we imagine a graph where the viewer and their friends are each nodes. From the viewer to each friend node is an edge, and the edge itself has properties. + +![Conceptual graph with properties on its edges](/img/docs/tutorial/connections-conceptual-graph.png) + +Now let’s try to model this situation using GraphQL. + +In GraphQL, only nodes can have properties, not edges. So the first thing we’ll do is represent the conceptual edge from you to your friend with its very own node. + +![Edge properties modeled using nodes that represent the edges](/img/docs/tutorial/connections-edge-nodes.png) + +Now the properties of the edge are represented by a new type of node called a “`FriendsEdge`”. + +The GraphQL to query this would like this: + +``` +// XXX example only, not final code +fragment FriendsFragment1 on Viewer { + friends { + since // a property of the edge + node { + name // a property of the friend itself + } + } +} +``` + +Now we have a good place in the GraphQL schema to put edge-specific information such as the date when the edge was created (that is, the date you friended that person). + +--- + +Now consider what we would need to model in our schema in order to support pagination and infinite scrolling. + +- The client must be able to specify how large of a page it wants. +- The client must be informed as to whether any more pages are available, so that it can enable or disable the ‘next page’ button (or, for infinite scrolling, can stop making further requests). +- The client must be able to ask for the next page after the one it already has. + +How can we use the features of GraphQL to do these things? Specifying the page size is done with field arguments. In other words, instead of just `friends` the query will say `friends(first: 3)`, passing the page size an argument to the `friends` field. + +For the server to say whether there is a next page or not, we need to introduce a node in the graph that has information about the _list of friends itself,_ just like we introduces a node for each edge to store information about the edge itself. This new node is called a _Connection_. + +The Connection node represents the connection itself between you and your friends. Metadata about the connection is stored there — for example, it could have a `totalCount` field that says how many friends you have. In addition, it always has two fields which represent the _current_ page: a `pageInfo` field with metadata about the current page, such as whether there is another page available — and an `edges` field that points to the edges we saw before: + +![The full connection model with page info and edges](/img/docs/tutorial/connections-full-model.png) + +Finally, we need a way to request the next page of results. You’ll notice in the above diagram that the `PageInfo` node has a field called `lastCursor`. This is an opaque token provided by the server that represents the position in the list of the last edge that we were given (the friend “Charmaine”). We can then pass this cursor back to the server in order to retrieve the next page. + +By passing the `lastCursor` value back to the server as an argument to the `friends` field, we can ask the server for friends that are _after_ the ones we’ve already retrieved: + +![After fetching the next page of results](/img/docs/tutorial/connections-full-model-next-page.png) + +This overall scheme for modeling paginated lists is specified in detail in the [GraphQL Cursor Connections Spec](https://relay.dev/graphql/connections.htm). It is flexible for many different applications, and although Relay relies on this convention to handle pagination automatically, designing your schema this way is a good idea whether or not you use Relay. + +Now that we've stepped through the underlying model for Connections, let’s turn our attention to actually using it to implement Comments for our Newsfeed stories. + +--- + +## Implementing “Load More Comments” + +Take a look once more at the `Story` component. There’s a `StoryCommentsSection` component that you can import and add to the bottom of `Story`: + +``` +// change-line +import StoryCommentsSection from './StoryCommentsSection'; + +function Story({story}) { + const data = useFragment(StoryFragment, story); + return ( + + {data.title} + + + + + // change-line + + + ); +} +``` + +And add `StoryCommentsSection`’s fragment to `Story`’s fragment: + +``` +const StoryFragment = graphql` + fragment StoryFragment on Story { + // ... as before + // change-line + ...StoryCommentsSectionFragment + } +`; +``` + +At this point, you should see up to three comments on each story. Some stories have more than three comments, and these will show a "Load more" button, although it isn't hooked up yet: + +![Screenshot of a story with the first three comments and a Load More button](/img/docs/tutorial/connections-comments-initial-screenshot.png) + +Now go to `StoryCommentsSection` and take a look: + +``` +const StoryCommentsSectionFragment = graphql` + fragment StoryCommentsSectionFragment on Story { + // color1 + comments(first: 3) { + edges { + node { + ...CommentFragment + } + } + pageInfo { + hasNextPage + } + } + } +`; + +function StoryCommentsSection({story}) { + const data = useFragment(StoryCommentsSectionFragment, story); + const onLoadMore = () => {/* TODO */}; + return ( + <> + {data.comments.edges.map(commentEdge => + + )} + {data.comments.pageInfo.hasNextPage && ( + + )} + + ); +} +``` + +Here we see that `StoryCommentsSection` is selecting the first three comments for each story using the Connection schema convention: the `comments` field accepts the page size as an argument, and for each comment there is an `edge` and within that a `node` containing the actual comment data — we’re spreading in `CommentFragment` here to retrieve the data needed to show an individual comment with the `Comment` component. It also uses the `pageInfo` field of the connection to decide whether to show a “Load More” button. + +Our task then is to make the “Load More” button actually load an additional page of comments. Relay handles the gritty details for us, but we do have to supply a few steps to set it up. + +### Augmenting the Fragment + +Before we modify our component, the fragment itself needs three extra pieces of information. First, we need the fragment to accept the page size and cursor as fragment arguments rather than being hard-coded: + +``` +const StoryCommentsSectionFragment = graphql` + fragment StoryCommentsSectionFragment on Story + // change + @argumentDefinitions( + cursor: { type: "String" } + count: { type: "Int", defaultValue: 3 } + ) + // end-change + { + // change-line + comments(after: $cursor, first: $count) { + edges { + node { + ...CommentFragment + } + } + pageInfo { + hasNextPage + } + } + } +`; +``` + +Next, we need to make the fragment [refetchable](../refetchable-fragments), so that Relay will be able to fetch it again with new values for the arguments — namely, a new cursor for the `$cursor` argument: + +``` +const StoryCommentsSectionFragment = graphql` + fragment StoryCommentsSectionFragment on Story + // change-line + @refetchable(queryName: "StoryCommentsSectionPaginationQuery") + @argumentDefinitions( + ... as before +`; +``` + +Now there’s just one more change we need to make to the fragment. Relay needs to know _which field_ within the fragment represents the Connection that we’re going to paginate over. To do that, we mark it with a `@connection` directive: + +``` +const StoryCommentsSectionFragment = graphql` + fragment StoryCommentsSectionFragment on Story + @refetchable(queryName: "StoryCommentsSectionPaginationQuery") + @argumentDefinitions( + cursor: { type: "String" } + count: { type: "Int", defaultValue: 3 } + ) + { + comments(after: $cursor, first: $count) + // change-line + @connection(key: "StoryCommentsSectionFragment_comments") + { + edges { + node { + ...CommentFragment + } + } + pageInfo { + hasNextPage + } + } + } +`; +``` + +The `@connection` directive requires a `key` argument which must be a unique string — here formed from the fragment name and field name. This key is used when editing the connection’s contents during mutations, as we’ll see in the next chapter. + +### The usePaginationFragment hook + +Now that we’ve got the fragment all souped up, we can modify our component to implement the Load More button. + +Take these two lines at the top of the `StoryCommentsSection` component: + +``` +const data = useFragment(StoryCommentsSectionFragment, story); +const onLoadMore = () => {/* TODO */}; +``` + +and replace them with: + +``` +const {data, loadNext} = usePaginationFragment(StoryCommentsSectionFragment, story); +const onLoadMore = () => loadNext(3); +``` + +Now the Load More button should cause another three comments to be loaded. + +### Improving the Loading Experience with useTransition + +As it stands, there’s no user feedback when you click the “Load More” button until the new comments have finished loading and then appear. Every user action should result in immediate feedback, so let’s show a spinner while the new data is loading — but without hiding the existing UI. + +To do that, we need to wrap our call to `loadNext` inside a React transition. Here’s the change’s we need to make: + +``` +function StoryCommentsSection({story}) { + // change-line + const [isPending, startTransition] = useTransition(); + const {data, loadNext} = usePaginationFragment(StoryCommentsSectionFragment, story); + // change + const onLoadMore = () => startTransition(() => { + loadNext(3); + }); + // end-change + return ( + <> + {data.comments.edges.map(commentEdge => + + )} + {data.comments.pageInfo.hasNextPage && ( + + )} + // change-line + {isPending && } + + ); +} +``` + +Every user action with results that aren’t immediate should be wrapped in a React transition. This allows React to prioritize different updates: for example, if when the data becomes available and React is rendering the new comments, the user clicks on another tab to navigate to a different page, React can interrupt rendering the comments in order to render the new page that the user wanted. + +--- + +## Infinite Scrolling Newsfeed Stories + +Let’s use what we’ve learned about pagination to create an infinite scrolling newsfeed. The Newsfeed will be pretty much the same as loading more comments, except that `loadNext` will be triggered automatically when the user scrolls to the bottom of the page, instead of by pressing a button. + +### Step 1 — Select the Connection Field in the Query + +Right now our app uses the `topStories` root field to fetch a simple array of the top 3 stories. The schema also provides a `newsfeedStories` field on `Viewer` which is a Connection. Let’s modify the `Newsfeed` component to use this new field. Take a look once more at `Newsfeed.tsx` — the GraphQL query at the top should look like this: + +``` +const NewsfeedQuery = graphql` + query NewsfeedQuery { + topStories { + id + ...StoryFragment + } + } +`; +``` + +Go ahead and replace it with this: + +``` +const NewsfeedQuery = graphql` + query NewsfeedQuery { + viewer { + newsfeedStories(first: 3) { + edges { + node { + id + ...StoryFragment + } + } + } + } + } +`; +``` + +Here we’ve replaced `topStories` with `viewer`’s `newsfeedStories`, adding a `first` argument so that we fetch the first 3 stories initially. Within that we’ve selected the `edge` and then the `node`, which is a `Story` node so we can spread the same `StoryFragment` from before. We also select `id` so that we can use it as a React `key` attribute. + +:::tip +Although we put the `topStory` and `topStories` fields at the top level of `Query` for simplicity, it’s conventional to put fields related to the person who’s looking at the page or app under a field called `viewer`. We’ll switch to that convention now that we’re using the field as it would be in a real app. +::: + +### Step 2 — Map over the Edges of the Connection + +We need to modify the Newsfeed component to map over the edges and render each node: + +``` +function Newsfeed() { + const data = useLazyLoadQuery(NewsfeedFragment, {}); + // change-line + const storyEdges = data.newsfeedStories.edges; + return ( + <> + {storyEdges.map(storyEdge => + + )} + + ); +} +``` + +### Step 3 — Lower Newsfeed into a Fragment + +Relay’s pagination features only work with fragments, not entire queries. This is because, although we’re directly issuing a query in this component in this simple example app, in real applications the query is generally issued at some high-level routing component, which would rarely be the same component that’s showing a paginated list. + +To get this to work, we just need to separate out the contents `NewsfeedQuery` into a fragment, which we’ll call `NewsfeedContentsFragment`: + +``` +const NewsfeedQuery = graphql` + query NewsfeedQuery { + ...NewsfeedContentsFragment + } +`; + +const NewsfeedContentsFragment = graphql` + fragment NewsfeedContentsFragment on Query { + viewer { + newsfeedStories { + edges { + node { + id + ...StoryFragment + } + } + } + } + } +`; +``` + +This is a good time to mention that every GraphQL schema contains a type called `Query` that represents the top-level fields available to queries. By defining a fragment `on Query`, we can spread it directly into the top level. + +Within `Newsfeed`, we can call both `useLazyLoadQuery` and `useFragment`, though in real life these would generally be in different components: + +``` +export default function Newsfeed() { + // change-line + const queryData = useLazyLoadQuery(NewsfeedFragment, {}); + // change-line + const data = useFragment(NewsfeedContentsFragment, queryData); + const storyEdges = data.newsfeedStories.edges; + ... +} +``` + +### Step 4 — Augment the Fragment for Pagination + +Now that we’re using a Connection field for the stories and have ourselves a fragment, we can make the changes to the fragment that we need in order to support pagination. These are the same as in the last example. We need to: + +- Add fragment arguments for the page size and cursor (`first` and `after`). +- Pass those arguments in to the `newsfeedStories` field as field arguments. +- Mark the fragment as `@refetchable`. +- Mark the `newsfeedStories` field with `@connection`. + +You should end up with something like this: + +``` +const NewsfeedContentsFragment = graphql` + fragment NewsfeedContentsFragment on Query + @argumentDefinitions ( + cursor: { type: "String" } + count: { type: "Int", defaultValue: 3 } + ) + @refetchable(queryName: "NewsfeedContentsRefetchQuery") + { + viewer { + newsfeedStories(after: $cursor, first: $count) + @connection(key: "NewsfeedContentsFragment_newsfeedStories") + { + edges { + node { + id + ...StoryFragment + } + } + } + } + } +`; +``` + +### Step 5 — Call usePaginationFragment + +Now we need to modify the `NewsfeedContents` component to call `usePaginationFragment:` + +``` +function NewsfeedContents({viewer}) { + // change-line + const {data, loadNext} = usePaginationFragment(NewsfeedFragment, viewer); + const storyEdges = data.newsfeedStories.edges; + return ( + <> + {storyEdges.map(storyEdge => + + )} + + ); +} +``` + +### Step 6 — Paginate with a Scroll Trigger + +We’ve prepared a component called `InfiniteScrollTrigger` that detects when the bottom of the page is reached — we can use this to call `loadNext` at the appropriate time. It needs to know whether more pages exist and whether we’re currently loading the next page — we can retrieve these from the return value of `usePaginationFragment`: + +``` +function NewsfeedContents({query}) { + const { + data, + loadNext, + // change-line + hasNext, + // change-line + isLoadingNext, + } = usePaginationFragment(NewsfeedContentsFragment, query); + // change + function onEndReached() { + loadNext(3); + } + // end-change + const storyEdges = data.viewer.newsfeedStories.edges; + return ( + <> + {storyEdges.map(storyEdge => + + )} + // change + + // end-change + + ); +} +``` + +We should now be able to scroll to the bottom of the page and see more stories loading. Feels like a real newsfeed app! + +--- + +## Summary + +- Connections are a schema convention that Relay relies on to model the behavior of paginatable lists. +- It's generally a good idea to use Connections in your schema rather than simple lists. This gives you the flexibility to paginate if you need to. + +Next, we'll finally look at how to update data on the server. Connections will play a role in that as well, as we'll see how to append a newly-created node to an existing Connection. diff --git a/rescript-relay-documentation/docs/tutorial/fragments-1.md b/rescript-relay-documentation/docs/tutorial/fragments-1.md new file mode 100644 index 00000000..fabb2acd --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/fragments-1.md @@ -0,0 +1,490 @@ +--- +id: tutorial-fragments-1 +title: Fragments +sidebar_label: Fragments +--- + +# Fragments + +Fragments are one of the distinguishing features of Relay. They let each component declare its own data needs independently, while retaining the efficiency of a single query. In this section, we’ll show how to split a query up into fragments. + +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + +--- + +To start with, let’s say we want our Story component to show the date that the story was posted. To do that, we need some more data from the server, so we’re going to have to add a field to the query. + +Go to `Newsfeed.tsx` and find `NewsfeedQuery` so that you can add the new field: + +``` +const NewsfeedQuery = graphql` + query NewsfeedQuery { + top_story { + title + summary + // change-line + createdAt // Add this line + poster { + name + profilePicture { + url + } + } + image { + url + } + } + } +`; +``` + +Now go to `Story.tsx` and modify it to display the date: + +``` +// change-line +import Timestamp from './Timestamp'; + +type Props = { + story: { + // change-line + createdAt: string; // Add this line + ... + }; +}; + +export default function Story({story}: Props) { + return ( + + + {story.title} + // change-line + // Add this line + + + + ); +} +``` + +The date should now appear. And thanks to GraphQL, we didn't have to write and deploy any new server code. + +But if you think about it, why should you have had to modify `Newsfeed.tsx`? Shouldn’t React components be self-contained? Why should Newsfeed care about the specific data required by Story? What if the data was required by some child component of Story way down in the hierarchy? What if it was a component that was used in many different places? Then we would have to modify many components whenever its data requirements changed. + +The avoid these and many other problems, we can move the data requirements for the Story component into `Story.tsx`. + +We do this by splitting off `Story`’s data requirements into a _fragment_ defined in `Story.tsx`. Fragments are separate pieces of GraphQL that the Relay compiler stitches together into complete queries. They allow each component to define its own data requirements, without paying the cost at runtime of each component running its own queries. + +![The Relay compiler combines the fragment into the place it's spread](/img/docs/tutorial/fragments-newsfeed-story-compilation.png) + +Let’s go ahead and split `Story`’s data requirements into a fragment now. + +--- + +### Step 1 — Define a fragment + +Add the following to `Story.tsx` (within `src/components`) above the `Story` component: + +``` +import { graphql } from 'relay-runtime'; + +const StoryFragment = graphql` + fragment StoryFragment on Story { + title + summary + createdAt + poster { + name + profilePicture { + url + } + } + thumbnail { + url + } + } +`; +``` + +Note that we’ve taken all of the selections from within `topStory` in our query and copied them into this new Fragment declaration. Like queries, fragments have a name (`StoryFragment`), which we’ll use in a moment, but they also have a GraphQL type (`Story`) that they’re “on”. This means that this fragment can be used whenever we have a Story node in the graph. + +### Step 2 — Spread the fragment + +Go to `Newsfeed.tsx` and modify `NewsfeedQuery` to look like this: + +``` +const NewsfeedQuery = graphql` + query NewsfeedQuery { + topStory { + // change-line + ...StoryFragment + } + } +`; +``` + +We’ve replaced the selections inside `topStory` with `StoryFragment`. The Relay compiler will make sure that all of Story’s data gets fetched from now on, without having to change `Newsfeed`. + +### Step 3 — Call useFragment + +You’ll notice that Story now renders an empty card! All the data is missing! Wasn’t Relay supposed to include the fields selected by the fragment in the `story` object obtained from `useLazyLoadQuery()`? + +The reason is that Relay hides them. Unless a component specifically asks for the data for a certain fragment, that data will not be visible to the component. This is called _data masking_, and enforces that components don’t implicitly rely on another component’s data dependencies, but declare all of their dependencies within their own fragments. This keeps components self-contained and maintainable. + +Without data masking, you could never remove a field from a fragment, because it would be hard to verify that some other component somewhere wasn’t using it. + +To access the data selected by a fragment, we use a hook called `useFragment`. Modify `Story` to look like this: + +``` +import { useFragment } from 'react-relay'; + +export default function Story({story}: Props) { + const data = useFragment( + // color1 + StoryFragment, + // color2 + story, + ); + return ( + + {data.title} + + + + + + ); +} +``` + +`useFragment` takes two arguments: + +- The GraphQL tagged string literal for the fragment we want to read +- The same story object as we used before, which comes from the place within a GraphQL query where we spread the fragment. This is called a _fragment key_. + +It returns the data selected by that fragment. + +:::tip +We’ve rewritten `story` to `data` (the data returned by `useFragment`) in all of the JSX here; make sure to do the same in your copy of the component, or it won't work. +::: + +Fragment keys are the places in a GraphQL query response where a fragment was spread. For example, given the Newsfeed query: + +``` +query NewsfeedQuery { + topStory { + ...StoryFragment + } +} +``` + +Then if `queryResult` is the object returned by `useLazyLoadQuery`, `queryResult.topStory` will be a fragment key for `StoryFragment`. + +Technically, `queryResult.topStory` is an object that contains some hidden fields that tell Relay's `useFragment` where to look for the data it needs. The fragment key specifies both which node to read from (here there's just one story, but soon we'll have multiple stories), and what fields can be read out (the fields selected by that specific fragment). The `useFragment` hook then reads that specific information out of Relay's local data store. + +:::note +As we'll see in later examples, you can spread multiple fragments into the same place in a query, and also mix fragment spreads with directly-selected fields. +::: + +### Step 4 — TypeScript types for fragment refs + +To complete the fragmentization, we also need to change the type definition for `Props` so that TypeScript knows this component expects to receive a fragment key instead of the raw data. + +Recall that when you spread a fragment into a query (or another fragment), the part of the query result corresponding to where you spread the fragment becomes a _fragment key_ for that fragment. This is the object that you pass to a component in its props in order to give it a specific place in the graph to read the fragment from. + +To make this type-safe, Relay generates a type that represents the fragment key for that specific fragment — this way, if you try to use a component without spreading its fragment into your query, you won’t be able to provide a fragment key that satisfies the type system. Here are the changes we need to make: + +``` +// change-line +import type {StoryFragment$key} from './__generated__/StoryFragment.graphql'; + +type Props = { + // change-line + story: StoryFragment$key; +}; +``` + +With that done, we have a `Newsfeed` that no longer has to care what data `Story` requires, yet can still fetch that data up-front within its own query. + +--- + +## Exercise + +The `PosterByline` component used by `Story` renders the poster’s name and profile picture. Use these same steps to fragmentize `PosterByline`. You need to: + +- Declare a `PosterBylineFragment` on `Actor` and specify the fields it needs (`name`, `profilePicture`). The `Actor` type represents a person or organization that can post a story. +- Spread that fragment within `poster` in `StoryFragment`. +- Call `useFragment` to retrieve the data. +- Update the Props to accept a `PosterBylineFragment$key` as the `person` prop. + +It’s worth going through these steps a second time, to get the mechanics of using fragments under your fingers. There are a lot of parts here that need to slot together in the right way. + +Once you’ve done that, let’s look at a basic example of how fragments help an app to scale. + +--- + +## Reusing a Fragment in Multiple Places + +A fragment says, given _some_ graph node of a particular type, what data to read from that node. The fragment key specifies _which node_ in the graph the data is selected from. A re-usable component that specifies a fragment can retrieve the data from different parts of the graph in different contexts, by being passed a different fragment key. + +For example, notice that the `Image` component is used in two places: directly within `Story` for the story’s thumbnail image, and also within `PosterByline` for the poster’s profile pic. Let’s fragmentize `Image` and see how it can select the data it needs from different places in the graph according to where it is used. + +![Fragment can be used in multiple places](/img/docs/tutorial/fragments-image-two-places-compiled.png) + +### Step 1 — Define the fragment + +Open up `Image.tsx` and add a Fragment definition: + +``` +import { graphql } from 'relay-runtime'; + +const ImageFragment = graphql` + fragment ImageFragment on Image { + url + } +`; +``` + +### Step 2 — Spread the fragment + +Go back to `StoryFragment` and `PosterBylineFragment` and spread `ImageFragment` into it in each place where the `Image` component is what’s using the data: + + + + +``` +const StoryFragment = graphql` + fragment StoryFragment on Story { + title + summary + postedAt + poster { + ...PosterBylineFragment + } + thumbnail { + // change-line + ...ImageFragment + } + } +`; +``` + + + + +``` +const PosterBylineFragment = graphql` + fragment PosterBylineFragment on Actor { + name + profilePicture { + // change-line + ...ImageFragment + } + } +`; +``` + + + + +### Step 3 — Call useFragment + +Modify the `Image` component to read the fields using its fragment, and also modify its Props to accept the fragment key: + +``` +import { useFragment } from 'react-relay'; +import type { ImageFragment$key } from "./__generated__/ImageFragment.graphql"; + +type Props = { + image: ImageFragment$key; + ... +}; + +function Image({image}: Props) { + const data = useFragment(ImageFragment, image); + return +} +``` + +### Step 4 — Modify once, enjoy everywhere + +Now that we’ve fragmentized Image’s data requirements and co-located them within the component, we can add new data dependencies to Image without modifying any of the components that use it. + +For example, let’s add an `altText` label for accessibility to the `Image` component. + +Edit `ImageFragment` as follows: + +``` +const ImageFragment = graphql` + fragment ImageFragment on Image { + url + // change-line + altText + } +`; +``` + +Now, without editing Story, Newsfeed, or any other component, all of the images within our query will have alt text fetched for them. So we just need to modify `Image` to use the new field: + +``` +function Image({image}) { + // ... + {data.altText}The name of the argument + - Its type (which can be any GraphQL scalar type) + - Optionally a default value — in this case, the default value is null, which lets us fetch the image at its inherent size. If no default value is given, then the argument is required at every place the fragment is used. +- Then we populate an argument to a GraphQL field by using the fragment argument as a variable. Here the field arguments and fragment arguments have the same name (as will often be the case), but note: `width:` is the field argument while `$width` is the variable created by the fragment argument. + +Now the fragment accepts an argument that it passes along to the server via one of the fields it selects. + +
+ +Deep dive: GraphQL Directives + +The syntax for fragment arguments may look rather clumsy. This is because it is based on _directives_, a system for extending the GraphQL language. In GraphQL, any symbol starting with `@` is a directive. Their meaning isn't defined by the GraphQL spec, but is up to the specific client or server implementation. + +Relay defines [several directives](../../api-reference/graphql-and-directives) to support its features — fragment arguments for one. These directives are not sent to the server, but give instructions to the Relay compiler at build time. + +The GraphQL spec actually does define the meaning of three directives: + +- `@deprecated` is used in schema definitions and marks a field as deprecated. +- `@include` and `@skip` can be used to make the inclusion of a field conditional. + +Besides these, GraphQL servers can specify additional directives as part of their schemas. And Relay has its own build-time directives, which allow us to extend the language a bit without changing its grammar. + +
+ +### Step 2 + +Now the different fragments using `Image` can pass in the appropriate size for each image: + + + + +``` +const StoryFragment = graphql` + fragment StoryFragment on Story { + title + summary + postedAt + poster { + ...PosterBylineFragment + } + image { + // change-line + ...ImageFragment @arguments(width: 400) + } + } +`; +``` + + + + +``` +const PosterBylineFragment = graphql` + fragment PosterBylineFragment on Actor { + name + profilePicture { + // change-line + ...ImageFragment @arguments(width: 60, height: 60) + } + } +`; +``` + + + + +Now if you look at the images that our app downloads, you’ll see they’re of the smaller size, saving network bandwidth. Note that although we used integer literals for the value of our fragment arguments, we can also use variables supplied at runtime, as we'll see in later sections. + +Field arguments (e.g. `url(height: 100)`) are a feature of GraphQL itself, while fragment arguments (as in `@argumentDefinitions` and `@arguments`) are Relay-specific features. The Relay compiler processes these fragment arguments when it combines fragments into queries. + +--- + +## Summary + +Fragments are the most distinctive aspect of how Relay uses GraphQL. We recommend that every component that displays data and cares about the semantics of that data (so not just a typographic or formatting component) use a GraphQL fragment to declare its data dependences. + +- Fragments help you scale: No matter how many places a component is used, you can update its data dependencies in a single place. +- Fragment data needs to be read out with `useFragment`. +- `useFragment` takes a _fragment key_ which says where in the graph to read from. +- Fragment keys come from places in a GraphQL response where that fragment was spread. +- Fragments can define arguments which are used at the point they’re spread. This allows them to be tailored to each situation they're used in. + +We'll be revisiting many other features of fragments, such as how to refetch the contents of a single fragment without refetching the entire query. First, though, let's make this newsfeed app more newsfeed-like by learning about arrays. diff --git a/rescript-relay-documentation/docs/tutorial/graphql.md b/rescript-relay-documentation/docs/tutorial/graphql.md new file mode 100644 index 00000000..0a53972b --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/graphql.md @@ -0,0 +1,178 @@ +--- +id: tutorial-graphql +title: GraphQL and Relay +sidebar_label: GraphQL and Relay +--- + +# GraphQL and Relay + +This section is an overview to situate Relay in relation to GraphQL, React, and the other parts of the stack. Don’t worry about understanding every detail, just try to get the gist and the proceed to the next section to start working with code. Much more specifics will be explained as we go through working examples throughout the tutorial. + +import Tabs from '@theme/Tabs'; +import TabItem from '@theme/TabItem'; + +--- + +GraphQL is a language for querying and modifying data on servers. The unique thing about GraphQL is that rather than having a fixed set of API endpoints, your server provides a palette of options that the client can use to request any combination of data that it may need. This allows front-end developers to move more quickly because there is no need to write and deploy new endpoints as data requirements change. It also means that when a new version of the client is released, it can request just the data it needs, without extra fields leftover for compatibility with older versions. + +GraphQL provides a unified interface for querying data across any kind of back-end. Whether your data is in a relational SQL database, a graph-oriented database, or an armada of microservices, a GraphQL server can collect the data from multiple back-ends and send it to the client in a single response, which is more efficient than issuing separate queries to each service from the client. + +In a traditional HTTP API, there are URLs that each respond with a fixed set of information: + +``` +Request: +GET /person?id=24601 + +Response: +{"id": "24601", "name": "Jean Valjean", "age": 64, "occupation": "Mayor"} +``` + +In GraphQL, the client asks for the specific information that it wants, and the server responds with just the information that was requested: + +``` +Request: +query { + person(id: "24601") { + name + occupation + } +} + +Response: +{ + "person": { + "name": "Jean Valjean", + "occupation": "Mayor" + } +} +``` + +Notice that only the specific fields that the client requested were included in the response. + +As the name suggests, GraphQL organizes data into a _graph_. The graph consists of _nodes_ (like objects or records) and _edges_ (pointers from one node to another): + +![Nodes with fields connected by edges](/img/docs/tutorial/graphql-graph-detail.png) + +GraphQL lets you follow those edges from one node to another and ask for information about each node that you visit. For example, here we go from a person to their city and get information about the city: + + + + +``` +query { + person(id: "24601") { + name + occupation + location { + name + population + } + } +} +``` + +![Query diagram](/img/docs/tutorial/graphql-request.png) + + + + +``` +{ + "person": { + "name": "Jean Valjean", + "occupation": "Mayor", + "location": { + "name": "Montreuil-sur-Mer", + "population": 1935 + } + } +} +``` + +![Response diagram](/img/docs/tutorial/graphql-response.png) + + + + +This means we can retrieve information about a whole panoply of objects all in one query — in others words, you can efficiently get all the data for a screen in a single request instead of sending many requests one after the other. But you achieve this without writing and maintaining a separate endpoint for each screen in your UI. + +Instead, your GraphQL server provides a _schema_, which describes what kinds of nodes there are, how they’re connected, and what information each node contains. Then, you pick and choose from this schema to select the information you want. + +The example app in this tutorial is a newsfeed app, so its schema consists of types such as + +- `Story`, which represents a newsfeed story — it has fields such as its title, an image, and an _edge_ to the person or organization who posted it +- `Person`, with information such as their name, email, and a list of friends (which are edges to other Persons). +- `Viewer`, which represents the person viewing the app and has information like their list of newsfeed stories +- `Image`, which has a URL for the image itself as well as an `alt` text description. + +The GraphQL language includes a type system and language for specifying the schema. Here’s a snippet from the schema definition for our example app — don’t worry about every detail, it’s just to give you a general idea: + +``` +// A newsfeed story. It has fields, some of which are scalars (e.g. strings +// and numbers) and some that are edges that point to other nodes in the graph, +// such as the 'thumbnail' and 'poster' fields: +type Story { + id: ID! + category: Category + title: String + summary: String + thumbnail: Image + poster: Actor +} + +// An Actor is an entity that can do something on the site. This is an +// interface that multiple different types can implement, in this case +// Person and Organization: +interface Actor { + id: ID! + name: String + profilePicture: Image +} + +// This is a specific type that implements that interface: +type Person implements Actor { + id: ID! + name: String + email: String + profilePicture: Image + location: Location +} + +// The schema also lets you define enums, such as the category +// of a newsfeed story: +enum Category { + EDUCATION + NEWS + COOKING +} +``` + +Besides queries, GraphQL also lets you send _mutations_ that ask the server to update its data. If queries are analogous to HTTP GET requests, then mutations are the equivalent of POST requests. Like POSTs, they let the server respond with updated data. GraphQL also has _subscriptions_ which allow for an open connection for realtime updates. + +(GraphQL is usually implemented over HTTP, so queries and mutations are not only _analogous_ to GET and POST, but may be sent as such as well.) + +--- + +Now that we’ve talked about GraphQL, let’s talk about Relay. It has a few different parts and pieces that we’ll briefly go over before diving into the code. + +Relay is a data management library for the client that’s oriented around GraphQL, but uses it in a very specific way that gets the most benefit from it. + +For the best performance, you want your app to issue a single request at the beginning of each screen or page instead of having individual components issue their own requests. But the problem with that is that it couples components and screens together, creating a big maintenance problem: If you need some additional data in a specific component, you have to find every screen where that component is used and add the new field to that screen’s query. On the other hand, if you remove the need for a particular field, you have to remove that field from every query again — but this time, are you sure the field isn’t still in use by some _other_ component? It becomes very difficult to maintain these big screen-wide queries. + +Relay’s unique strength is to avoid this tradeoff by letting each component declare its own data requirements locally, but then stitching those requirements together into larger queries. That way you get both performance and maintainability. + +Relay does this with a _compiler_ that scans your JavaScript code for fragments of GraphQL, and then stitches those fragments together into complete queries. + +![The Relay Compiler combines fragments into a query](/img/docs/tutorial/graphql-compiler-combines-fragments.png) + +Besides the compiler, Relay has runtime code that manages the fetching and processing of GraphQL. It maintains a local cache of all the data that has been retrieved (called the _Store_), and vends out to each component the data that belongs to it: + +![The Relay Runtime fetches the query and vends out the appropriate data to each component according to its fragment](/img/docs/tutorial/graphql-relay-runtime-fetches-query.png) + +The advantage of having a centralized Store is that it lets you keep your data consistent when it’s updated. For instance, if your UI has a way for somebody to edit their name, then you can make that update in a single place and every component that displays that person’s name will see the new information, even if they’re on different screens and therefore used different queries to initially retrieve the data. This is because Relay _normalizes_ the data as it comes in, meaning that it merges all the data it sees for a single graph node into one place, so it doesn’t have multiple copies of the same node. + +Indeed, Relay doesn’t just query data, it provides for the entire lifecycle of querying and updating, including support for optimistic updates and rollbacks. You can paginate, refresh data — all of the basic operations you’ll need to create a UI. Whenever data in the Store is updated, Relay efficiently re-renders just those components that are displaying that particular data. + +## Summary + +GraphQL is a language for modeling data as a graph and querying that data from a server (as well as updating the data). Relay is a React-based client library for GraphQL that lets you build up queries from individual fragments that are co-located with each React component. Once the data has been queried, Relay maintains consistency and re-renders components as the data is updated. diff --git a/rescript-relay-documentation/docs/tutorial/interfaces-polymorphism.md b/rescript-relay-documentation/docs/tutorial/interfaces-polymorphism.md new file mode 100644 index 00000000..142ac0a2 --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/interfaces-polymorphism.md @@ -0,0 +1,167 @@ +--- +id: tutorial-interfaces-polymorphism +title: GraphQL Types, Interfaces, and Polymorphism +sidebar_label: GraphQL Types, Interfaces, and Polymorphism +--- + +# GraphQL Types, Interfaces, and Polymorphism + +In this section, we’ll see how to treat different types of nodes differently. You might notice that some of the newsfeed stories in the example app are posted by people, while others are posted by organizations. In this example, we'll enhance our hovercard by writing a fragment that selects people-specific information about people and organization-specific information about organizations. + +--- + +We’ve alluded to the fact that GraphQL nodes aren’t just random bags of fields — they have types. Your GraphQL schema defines what fields each type has. For instance, it might define the `Story` type like this: + +``` +type Story { + id: ID! + title: String + summary: String + createdAt: Date + poster: Actor + image: Image +} +``` + +Here, some of the fields are scalars (like `String` and `ID`). Others are types defined elsewhere in the schema, like `Image` — these fields are edges to nodes of those specific types. The `!` on `ID!` means that field is non-nullable. In GraphQL, fields are normally nullable and non-nullability is the exception. + +Fragments are always “on” a particular type. In our example above, `StoryFragment` is defined `on Story`. This means that you can only spread it into places in a query where a `Story` node is expected. And it means that the fragment can select just those fields that exist on the `Story` type. + +Of particular interest is the `Actor` type used for the `poster` field. This type is an _interface_. That means that the `poster` of a story can be a Person, a Page, an Organization, or any other type of entity that meets the specifications for being an “Actor”. + +The GraphQL schema in our example app defines an Actor as follows: + +``` +interface Actor { + name: String + profilePicture: Image + joined: DateTime +} +``` + +Not coincidentally this is exactly the information that we’re displaying here. There are two types in the schema that _implement_ Actor, meaning that they include all the fields defined in Actor and declare as such: + +``` +type User implements Actor { + id: ID! + name: String + profilePicture: Image + joined: DateTime + email: String + location: Location +} + +type Organization implements Actor { + id: ID! + name: String + profilePicture: Image + joined: DateTime + organizationKind: OrganizationKind +} +``` + +Both of these types have `name` , `profilePicture`, and `joined`, so they can both declare that they implement Actor and thus can be used wherever an Actor is called for in the schema and in fragments. They also have other fields that are distinct to each particular type. + +Let’s see how to work with interfaces more by extending the `PosterDetailsHovercardContentsBody` component to display the location of a `Person` or the organization kind of an `Organization`. These are fields that are only present on those specific types, not on the `Actor` interface. + +Right now, if you’ve followed along so far, it should have a fragment defined like this (in `PosterDetailsHovercardContents.tsx`): + +``` +fragment PosterDetailsHovercardContentsBodyFragment on Actor { + name + joined + profilePicture { + ...ImageFragment + } +} +``` + +If you try to add a field like `organizationKind` to this fragment, you’ll get an error from the Relay compiler: + +``` +✖︎ The type `Actor` has no field organizationKind +``` + +This is because when we define a fragment as being on an interface, we can only use fields from that interface. To use fields from a specific type that implements the interface, we use a _type refinement_ to tell GraphQL we’re selecting fields from that type: + +``` +fragment PosterDetailsHovercardContentsBodyFragment on Actor { + name + joined + profilePicture { + ...ImageFragment + } + // change + ... on Organization { + organizationKind + } + // end-change +} +``` + +Go ahead and add this now. You can also add a type refinement for `Person`: + +``` +fragment PosterDetailsHovercardContentsBodyFragment on Actor { + name + joined + profilePicture { + ...ImageFragment + } + ... on Organization { + organizationKind + } + // change + ... on Person { + location { + name + } + } + // end-change +} +``` + +When you select a field that’s only present on some of the types that implement an interface, and the node you’re dealing with is of a different type, then you simply get `null` for the value of that field when you read it out. With that in mind, we can modify the `PosterDetailsHovercardContentsBody` component to show the location of people and organization kind of organizations: + +``` +import OrganizationKind from './OrganizationKind'; + +function PosterDetailsHovercardContentsBody({ poster }: Props): React.ReactElement { + const data = useFragment(PosterDetailsHovercardContentsBodyFragment, poster); + return ( + <> + +
{data.name}
+
    +
  • Joined
  • + // change + {data.location != null && ( +
  • {data.location.name}
  • + )} + {data.organizationKind != null && ( +
  • + )} + // end-change +
+ + ); +} +``` + +You should now see the location of people, and the organization kind for organizations: + +![An organization hovercard](/img/docs/tutorial/interfaces-organization-screenshot.png) ![A person hovercard](/img/docs/tutorial/interfaces-person-screenshot.png) + +By the way, we can now understand why we had `... on Actor` in the example earlier. The `node` field can return a node of any type because any ID could be given at runtime. So the type that it gives us is `Node`, a very generic interface that can be implemented by anything that has an `id` field. We needed a type refinement to use fields from the `Actor` interface. + +:::note +In the GraphQL spec and other sources, type refinements are called _inline fragments_. We call them “type refinements” instead because this terminology is more descriptive and less confusing. +::: + +:::tip +If you need to do something totally different depending on what type it is, you can select a field called `__typename`, which returns a string with the name of the concrete type that you got (e.g., `"Person"` or `"Organization"`). This is a built-in feature of GraphQL. +::: + +## Summary + +The `... on Type {}` syntax allows us to select fields that are only present in a specific type that implements an interface. diff --git a/rescript-relay-documentation/docs/tutorial/intro.md b/rescript-relay-documentation/docs/tutorial/intro.md new file mode 100644 index 00000000..f838e0b9 --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/intro.md @@ -0,0 +1,62 @@ +--- +id: tutorial-intro +title: Intro +sidebar_label: Intro +--- + +# Tutorial Intro + +This tutorial will get you started with the most important and frequently-used features of Relay. To do that, we’ll build a simple app that displays a newsfeed. We will cover: + +- How to fetch data using Queries. +- How to make components self-contained by breaking Queries into Fragments. +- How to paginate through data with Connections. +- How to update data on the server with Mutations and Updaters. + +This tutorial assumes a fair familiarity with React. If you’re still new to React, we suggest going through the [React tutorial](https://reactjs.org/tutorial/) and working with React until you’re comfortable with creating components, passing props, and using the basic hooks such as `useState`. The tutorial is based on the Web, but Relay also works great with React Native. + +This tutorial is built with TypeScript, so [very basic knowledge of TypeScript](https://www.typescriptlang.org/docs/) is helpful as well — you don’t need to know anything beyond declaring and importing types and annotating functions. Relay can also be used with the Flow type system or without a type system. + +:::info +**IMPORTANT**: The tutorial is meant to be gone through in order, as the exercises build on each other. You’ll be making incremental changes to an example app, so later section won’t make sense if you haven’t done the earlier sections. +::: + +--- + +To get started, run the following commands: + +``` +git clone https://github.com/relayjs/relay-examples.git +cd relay-examples/newsfeed +npm install +npm run dev +``` + +This downloads a template project to get started from and starts the server. (If they don’t work, you may need to [install git](https://github.com/git-guides/install-git) or [install npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm).) + +When you run `npm run dev`, several processes are started: + +- A Webpack-based HTTP server that serves up the front-end code. +- A basic GraphQL server that that front-end will query to retrieve information. +- The Relay compiler, which processes the GraphQL in your app and generates additional files that Relay uses at runtime, as well as TypeScript types representing the inputs and results of your queries. It will automatically regenerate when you save changes in your files. + +In the terminal output, these three processes’ log output are marked with tags: `[webpack]` in yellow, `[server]` in green, and `[relay]` in blue. Keep a look out for errors marked with `[relay]` as these are helpful if your GraphQL has any mistakes. + +Now that these processes are running, you should be able to open [http://localhost:3000](http://localhost:3000/) in your browser. + +![Screenshot](/img/docs/tutorial/intro-screenshot-placeholder.png) + +We start from a webpage that shows a single Newsfeed story rendered with React, but the data for that story is just placeholder data hard-coded into the React components. In the rest of this tutorial, we’ll make the app functional by having it fetch data from the server, paginate over multiple stories, and update the data by commenting and liking. + +The files that make up the example app are laid out in this way: + +- `src/components` — the front-end app components that we’ll be modifying and working with. Some of the important components are: + - `App.tsx` — the top-level component + - `Newsfeed.tsx` — a component that will run a query to fetch newsfeed stories and display a scrolling list of stories. At the beginning of the tutorial, this component uses hard-coded placeholder data — we’ll modify it to fetch data via GraphQL and Relay. + - `Story.tsx` — a component that shows a single newsfeed story. +- `server` — a very basic GraphQL server that serves up example data + - `server/schema.graphql` — the GraphQL schema: it specifies what information can be queried from the server via GraphQL. + +Finally, you may want to install the [Relay VSCode extension](https://marketplace.visualstudio.com/items?itemName=meta.relay) for autocomplete, errors, and other help when using VSCode. + +Head over to the next section to start learning about GraphQL and Relay. diff --git a/rescript-relay-documentation/docs/tutorial/mutations-updates.md b/rescript-relay-documentation/docs/tutorial/mutations-updates.md new file mode 100644 index 00000000..e8874806 --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/mutations-updates.md @@ -0,0 +1,629 @@ +--- +id: tutorial-mutations-updates +title: Mutations & Updates +sidebar_label: Mutations & Updates +--- + +# Mutations & Updates + +In this chapter we’ll learn how to update data on the server and client. We’ll go through two main examples: + +- Implementing a Like button for newsfeed stories +- Implementing the ability to post comments on a newsfeed story + +Updating data is a complicated problem domain, and Relay handles many aspects of it automatically, while also giving you a lot of manual control so that your app can be as robust as possible in handling the cases that can arise. + +First let’s distinguish two terms: + +- A _mutation_ is when you ask the server to perform some action that modifies data on the server. This is a feature of GraphQL that is analogous to an HTTP POST. +- An _update_ is when you modify Relay’s local client-side data store. + +The client doesn’t have the ability to directly manipulate individual pieces of data on the server side. Rather, mutations are opaque, high-level requests that express the user’s intent — for example, that the user friended somebody, joined a group, posted a comment, liked a particular newsfeed story, blocked somebody, or deleted a comment. (The GraphQL schema defines what mutations are available, as well as the input parameters that each mutation accepts.) + +Mutations can have far-reaching and unpredictable effects on the state of the graph. For example, let’s say you join a group. Many things can change: + +- Your name gets added to the Group Members list +- The group’s membership count gets incremented +- The group gets added to your list of groups +- Members-only posts appear in the group’s post feed +- Your recommended groups may change +- The group’s admins may get notifications +- Many other non-user-visible effects such as logging, training models, or sending emails +- Etc. etc. etc. + +In general, it’s impossible to know what the full downstream effect of a mutation may be. So after asking the server to perform a mutation, the client just has to do its best to update its local data store, keeping the data as consistent as reasonably possible. It does this by asking the server for specific updated data as part of the mutation response, and by imperative code — called an _updater_ — that fixes up the store to keep it consistent. + +There is no principled solution that covers every case. Even if it were possible to know the full effect of a mutation on the graph, there are even circumstances where we don’t _want_ to show updated data right away. For example, if you go to somebody’s profile page and block them, you don’t want for everything shown on that page to immediately disappear. The question of what data to update is ultimately a UI design decision. + +Relay tries to make it as easy as possible to update data in response to a mutation. For example, if you want to update a certain component, you can spread its fragment into your mutation, which asks the server to send updated data for whatever was selected by that fragment. For other cases, you have to manually write an _updater_ that modifies Relay’s local data store imperatively. We’ll look at all of these cases below. + +--- + +## Implementing a Like Button + +Let’s dip our toes in the water by implementing the Like button for Newsfeed stories. Luckily we already have a Like button prepared, so open up `Story.tsx` and drop it in to the `Story` component, remembering to spread its fragment into Story’s fragment: + +``` +// change-line +import StoryLikeButton from './StoryLikeButton'; + +... + +const StoryFragment = graphql` + fragment StoryFragment on Story { + title + summary + // ... etc + // change-line + ...StoryLikeButtonFragment + } +`; + +... + +export default function Story({story}: Props) { + const data = useFragment(StoryFragment, story); + return ( + + + {data.title} + + + + // change-line + + + + ); +} +``` + +Now let’s take a look at `StoryLikeButton.js`. Currently, it is a button that doesn’t do anything, along with a like count. + +![Like button](/img/docs/tutorial/mutations-like-button.png) + +You can look at its fragment to see that it fetches a field `likeCount` for the like count and `doesViewerLike` to determine whether the Like button is highlighted (it’s highlighted if the viewer likes the story, i.e. if `doesViewerLike` is true): + +``` +const StoryLikeButtonFragment = graphql` + fragment StoryLikeButtonFragment on Story { + id + likeCount + doesViewerLike + } +`; +``` + +We want to make it so that when you press the Like button + +1. The story gets “liked” on the server +2. Our local client copy of the “`likeCount`” and “`doesViewerLike`” fields get updated. + +To do that, we need to write a GraphQL mutation. But first... + +## Anatomy of a Mutation + +The GraphQL mutation syntax is going to be confusing unless you first understand the following: + +GraphQL has two different request types, Queries and Mutations — and they work in exactly the same way. This is analogous to how HTTP has GET and POST: technically the only difference is that POST requests are intended to cause effects while GET requests do not. Similarly, a Mutation is exactly like a Query, except that the Mutation is expected to cause things to happen. This means: + +- A mutation is part of our client code +- A mutation declares _variables_ that let the client pass data to the server +- The server implements _individual fields._ A given mutation composes together those fields and passes its variables in as field arguments. +- Each field yields data of a particular type — either scalar or an edge to some other graph node — which is returned to the client if that field is selected. In the case of edges, further fields are selected from the node being linked to. + +The only difference is that, in a mutation, selecting a field makes something happen, as well as returning data. + +## The Like Mutation + +With that in mind, this is what our mutation is going to look like — go ahead and add this declaration to the file: + +``` +const StoryLikeButtonLikeMutation = graphql` + mutation StoryLikeButtonLikeMutation( + // color1 + $id: ID!, + // color1 + $doesLike: Boolean!, + ) { + // color2 + likeStory( + // color3 + id: $id, + // color3 + doesLike: $doesLike + ) { + // color4 + story { + // color5 + id + // color5 + likeCount + // color5 + doesViewerLike + } + } + } +`; +``` + +This is a lot, let’s break it down: + +- The mutation declares variables which are passed from the client to the server when the mutation is dispatched. Each variable has a name (`$id`, `$doesLike`) and a type (`ID!`, `Boolean!`). The `!` after the type indicates that it is required, not optional. +- The mutation selects a mutation field defined by the GraphQL schema. Each mutation field that the server defines corresponds to some action that the client can request of the server, such as liking a story. + - The mutation field takes arguments (just like any field can do). Here we pass in the mutation variables that we declared as the argument values — for example, the `doesLike` field argument is set to be the `$doesLike` mutation variable. +- The `likeStory` field returns an edge to a node that represents the mutation response. We can select various fields in order to receive updated data. The fields that are available in the mutation response are specified by the GraphQL schema. + - We select the `story` field, which is an edge to the Story that we just liked. + - We select specific fields from within that Story to get updated data. These are the same fields that a query could select about a Story — in fact, the same fields we selected in our fragment. + +When we send the server this mutation, we’ll get a response that, just like with queries, matches the shape of the mutation that we sent. For example, the server might send this back to us: + +``` +{ + "likeStory": { + "story": { + "id": "34a8c", + "likeCount": 47, + "doesViewerLike": true + } + } +} +``` + +and our job will be to update the local data store to incorporate this updated information. Relay will handle this in simple cases, while in more complex cases it will require custom code to update the store intelligently. + +But we’re getting ahead of ourselves — let’s make that button trigger the mutation. Here’s what our component looks like now — we need to hook up the `onLikeButtonClicked` event to execute `StoryLikeButtonLikeMutation`. + +``` +function StoryLikeButton({story}) { + const data = useFragment(StoryLikeButtonFragment, story); + function onLikeButtonClicked() { + // To be filled in + } + return ( + <> + + + + ) +} +``` + +To do that, we add a call to `useMutation`: + +``` +// change-line +import {useMutation, useFragment} from 'react-relay'; + +function StoryLikeButton({story}) { + const data = useFragment(StoryLikeButtonFragment, story); + // change-line + const [commitMutation, isMutationInFlight] = useMutation(StoryLikeButtonLikeMutation); + function onLikeButtonClicked() { + // change + commitMutation({ + variables: { + id: data.id, + doesViewerLike: !doesViewerLike, + }, + }) + // end-change + } + return ( + <> + + + + ) +} +``` + +The `useMutation` hook returns a function `commitMutation` that we can call to tell the server to do stuff. + +We pass in an option called `variables` where we give values for the variables defined by the mutation, namely `id` and `doesViewerLike`. This tells the server which story we’re talking about and whether the we are liking or un-liking it. The `id` of the story we’ve read from the fragment, while whether we like it or unlike it comes from toggling whatever the current value that we rendered is. + +The hook also returns a boolean flag that tells us when the mutation is in flight. We can use that to make the user experience nicer by disabling the button while the mutation is happening: + +``` + +``` + +With this in place, we should now be able to like a story! + +## How Relay Automatically Processes Mutation Responses + +But how did Relay know to update the story we clicked on? The server sent back a response with this form: + +``` +{ + "likeStory": { + "story": { + "id": "34a8c", + "likeCount": 47, + "doesViewerLike": true + } + } +} +``` + +Whenever the response includes an object with an `id` field, Relay will check if the store already contains a record with a matching ID in the `id` field of that record. If there is a match, Relay will merge the other fields from the response into the existing record. That means that, in this simple case, we don’t need to write any code to update the store. + +--- + +## Using Fragments in the Mutation Response + +Remember that mutations are just like queries. In order to make sure that the mutation response always contains the data we want to render, instead of having a separate set of fields that has to be manually kept up to date, we can simply spread fragments into our mutation response: + +``` +const StoryLikeButtonLikeMutation = graphql` + mutation StoryLikeButtonLikeMutation( + $id: ID, + $doesLike: Boolean, + ) { + likeStory(id: $id, doesLike: $doesLike) { + story { + // change-line + ...StoryLikeButtonFragment + } + } + } +`; +``` + +Now if we add or remove data requirements, all of the necessary data (but no more) will be included with the mutation response. This is usually the smart way of writing mutation responses. You can spread in any fragment from any component, not just the component that triggers the mutation. This helps you keep your whole UI up to date. + +--- + +## Improving the UX with an Optimistic Updater + +Mutations take time to perform, yet we always want the UI to update immediately in some way to give the user feedback that they’ve taken an action. In the current example, the Like button is disabled while the mutation is happening, and then after the mutation is done, the UI is updated into the new state as Relay merges the updated data into its store and re-renders the affected components. + +Oftentimes the best feedback will be to simply pretend the operation is already completed: for example, if you press the Like button, that buttons immediately goes into the same highlighted state that it will stay in whenever you see something you’ve already liked. Or take the example of posting a comment: We would like to immediately show your comment as having been posted. This is because mutations are usually fast and reliable enough that we don’t need to bother the user with a separate loading state for them. However, sometimes mutations do end in failure. In that case, we’d like to roll back the changes we made and return you to the state you were in before we tried the mutation: the comment we showed as being posted should go away, while the text of the comment should re-appear within the composer where you wrote it, so that the data isn’t lost if you want to try posting again. + +Managing these so-called _optimistic updates_ is complicated to do manually, but Relay has a robust system for applying and rolling back updates. You can even have multiple mutations in flight at the same time (say if the user clicks several buttons in sequence), and Relay will keep track of what changes need to be rolled back in case of a failure. + +Mutations proceed in three phases: + +- First there’s an _optimistic update_, where you update the local data store into whatever state you anticipate and want to show to the user immediately. +- Then you actually perform the mutation on the server. If it’s successful, the server responds with updated information which can be used in the third step. +- When the mutation is done, you roll back the optimistic update. If the mutation failed, you’re done — back to where you started. If the mutation succeeded, Relay merges simple changes into the store and then applies a _concluding update_ that updates the local data store with the actual new information received from the server, plus whatever other changes you want to make. + +![Mutation flowchart](/img/docs/tutorial/mutations-lifecycle.png) + +--- + +With this background knowledge in hand, let’s go ahead and write an optimistic updater for our Like button so that it immediately updates to the new state when clicked. + +### Step 1 — Add the optimisticUpdater option to commitMutation + +Go to `StoryLikeButton` and add a new option to the call to `commitMutation`: + +``` +function StoryLikeButton({story}) { + ... + function onLikeButtonClicked(newDoesLike) { + commitMutation({ + variables: { + id: data.id, + doesViewerLike: newDoesLike, + }, + // change + optimisticUpdater: store => { + // TODO fill in optimistic updater + }, + // end-change + }) + } + ... +} +``` + +This callback receives a `store` argument which represents Relay’s local data store. It has various methods for reading and writing local data. All of the writes that we make in the optimistic updater will be applied immediately when the mutation is dispatched, and then rolled back when it is complete. + +### Step 2 — Create an Updatable Fragment + +We can read and write data in the local store by writing a special kind of fragment called an _updatable fragment._ Unlike a regular fragment, it doesn’t get spread into queries and sent to the server. Instead, it lets us read data out of the local store using the same GraphQL syntax we already know and love. Go ahead and add this fragment definition: + +``` +function StoryLikeButton({story}) { + ... + optimisticUpdater: store => { + const fragment = graphql` + fragment StoryLikeButton_updatable on Story + // color1 + @updatable + { + likeCount + doesViewerLike + } + `; + }, + ... +} +``` + +It’s exactly like any other fragment but annotated with the @updatable directive. + +Unlike normal fragments, updatable fragments are not spread into queries and do not select data to be fetched from the server. Instead, they select data that’s already in the Relay local data store so that the data may be updated. + +### Step 3 — Call readUpdatableFragment + +We pass this fragment, along with the original fragment ref that we received as a prop (which tells us _which_ story we’re liking), to `store.readUpdatableFragment`. It returns a special object called `updatableData`: + +``` +function StoryLikeButton({story}) { + ... + optimisticUpdater: store => { + const fragment = graphql` + fragment StoryLikeButton_updatable on Story @updatable { + likeCount + doesViewerLike + } + `; + const { + // color1 + updatableData + } = store.readUpdatableFragment( + // color2 + fragment, + // color3 + story + ); + }, + ... +} +``` + +### Step 4 — Modify the Updatable Data + +Now `upatableData` is an object representing our existing Story as it exists in the local store. We can read and write the fields listed in our fragment: + +``` +function StoryLikeButton({story}) { + ... + optimisticUpdater: store => { + const fragment = graphql` + fragment StoryLikeButton_updatable on Story @updatable { + likeCount + doesViewerLike + } + `; + const {updatableData} = store.readUpdatableFragment(fragment, story); + // change + const alreadyLikes = updatableData.doesViewerLike; + updatableData.doesViewerLike = !alreadyLikes; + updatableData.likeCount += (alreadyLikes ? -1 : 1); + // end-change + }, + ... +} +``` + +In this example, we toggle `doesViewerLike` (so that clicking the button when you already like the story makes you un-like it) and increment or decrement the like count accordingly. + +Relay records the changes we made to `updatableData` and will roll them back once the mutation is complete. + +Now when you click the Like button, you should see the UI immediately update. + +--- + +## Adding Comments — Mutations on Connections + +The only thing that Relay can do completely automatically is what we’ve seen already: merge nodes in the mutation response with existing nodes that share the same ID in the store. For anything else, we have to give Relay some more information. + +Let’s look at the case of Connections. We’ll implement the ability to post a new comment on a story. + +The server’s mutation response only includes the newly-created comment. We have to tell Relay how to insert that story into the Connection between a story and its comments. + +Head back over to `StoryCommentsSection` and add a component for posting a new comment, remembering to spread its fragment into our fragment: + +``` +// change-line +import StoryCommentsComposer from './StoryCommentsComposer'; + +const StoryCommentsSectionFragment = graphql` + fragment StoryCommentsSectionFragment on Story + ... + { + comments(after: $cursor, first: $count) + @connection(key: "StoryCommentsSectionFragment_comments") + { + ... + } + // change-line + ...StoryCommentsComposerFragment + } +` + +function StoryCommentsSection({story}) { + ... + return ( + <> + // change-line + + ... + + ); +} +``` + +We should now see a composer at the top of the comments section: + +![Comments composer screenshot](/img/docs/tutorial/mutations-comments-composer-screenshot.png) + +Now take a look inside `StoryCommentsComposer.js`: + +``` +function StoryCommentsComposer({story}) { + const data = useFragment(StoryCommentsComposerFragment, story); + const [text, setText] = useState(''); + function onPost() { + // TODO post the comment here + } + return ( +
+ + +
+ ); +} +``` + +### Step 1 — Define the Comment Posting Mutation + +Just like before, we need to define a mutation. It will send to the server the story ID and the text of the comment to be added: + +``` +const StoryCommentsComposerPostMutation = graphql` + mutation StoryCommentsComposerPostMutation( + $id: ID!, + $text: String!, + ) { + postStoryComment(id: $id, text: $text) { + commentEdge { + node { + id + text + } + } + } + } +`; +``` + +Here, the schema allows us to select as part of the mutation response the newly-created edge to the newly-created comment. We select it and will use it to update the local store by inserting this edge into the Connection. + +### Step 2 — Call commitMutation to post it + +Now we use the `useMutation` hook to get access to the `commitMutation` callback, and call it in `onPost`: + +``` +function StoryCommentsComposer({story}) { + const data = useFragment(StoryCommentsComposerFragment, story); + const [text, setText] = useState(''); + // change-line + const [commitMutation, isMutationInFlight] = useMutation(StoryCommentsComposerPostMutation); + function onPost() { + // change + setText(''); // Reset the UI + commitMutation({ + variables: { + id: data.id, + text, + }, + }) + // end-change + } + ... +} +``` + +### Step 3 — Add a Declarative Connection Handler + +At this point, we can find from the network logs that clicking Post will send a mutation request to the server — you can even see that the comment has been posted since it appears if you refresh the page. However, nothing happens in the UI. We need to tell Relay to append the newly-created comment to the Connection that goes from the story to its comments. + +You’ll notice that in the mutation response that we wrote above we select `commentEdge`. This is the edge to the newly-created comment. We just need to tell Relay what Connections to add that edge to. Relay provides directives called `@appendEdge`, `@prependEdge`, and `@deleteEdge` that you put on the edge in the mutation response. Then when you run the mutation, you pass in the IDs of the Connections that you want to modify. Relay will append, prepend, or delete the edge from those connections as you specify. + +We want our newly-created comment to appear at the top of the list, so we’ll use `@prependEdge`. Make the following additions to the mutation definition: + +``` + mutation StoryCommentsComposerPostMutation( + $id: ID!, + $text: String!, + // change-line + $connections: [ID!]!, + ) { + postStoryComment(id: $id, text: $text) { + commentEdge + // change-line + @prependEdge(connections: $connections) + { + node { + id + text + } + } + } + } +``` + +We’ve added a variable called `connections` to the mutation. We’ll use this to pass in the Connections we want to update. + +:::note +The `$connections` variable is only used as an argument to the `@prependEdge` directive, which is processed on the client by Relay. Because `$connections` is not passed as an argument to any _field_, it is not sent to the server. +::: + +### Step 4 — Pass in the Connection ID as a Mutation Variable + +We need to identify the Connection to add the new edge to. A Connections is identified with two pieces of information: + +- Which node it’s off of — in this case, the Story we’re posting a comment to. +- The _key_ provided in the `@connection` directive, which lets us distinguish connections in case more than one connection is off of the same node. + +We pass this information in to the mutation variables using a special API provided by Relay: + +``` +// change-line +import {useFragment, useMutation, ConnectionHandler} from 'react-relay'; + +... + +export default function StoryCommentsComposer({story}: Props) { + ... + function onPost() { + setText(''); + // change + const connectionID = ConnectionHandler.getConnectionID( + data.id, + 'StoryCommentsSectionFragment_comments', + ); + // end-change + commitMutation({ + variables: { + id: data.id, + text, + // change-line + connections: [connectionID], + }, + }) + } + ... +} +``` + +The string `"StoryCommentsSectionFragment_comments"` that we pass to `getConnectionID` is the identifier that we used when fetching the connection in `StoryCommentSection` — just as a reminder, here's what that looked like: + +``` +const StoryCommentsSectionFragment = graphql` + fragment StoryCommentsSectionFragment on Story + ... + { + comments(after: $cursor, first: $count) + @connection(key: "StoryCommentsSectionFragment_comments") + { + ... + } +`; +``` + +Meanwhile, the argument `data.id` is the ID of the specific story that we’re connecting off of. + +With this change, we should see the comment appear in the list of comments once the mutation is complete. + +--- + +## Summary + +Mutations let us ask the server to make changes. + +- Just like Queries, Mutations are composed of fields, accept variables, and pass those variables as arguments to fields. +- The fields that are selected by a Mutation constitute the _mutation response_ which we can use to update the Store. +- Relay automatically merges nodes in the response to nodes in the Store with matching IDs. +- The `@appendEdge`, `@prependEdge`, and `@deleteEdge` directives let us insert and remove items from the mutation response into Connections in the store. +- Updaters let us manually manipulate the store. +- Optimistic updaters run before the mutation begins and are rolled back when it is done. diff --git a/rescript-relay-documentation/docs/tutorial/queries-1.md b/rescript-relay-documentation/docs/tutorial/queries-1.md new file mode 100644 index 00000000..abbc490a --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/queries-1.md @@ -0,0 +1,270 @@ +--- +id: tutorial-queries-1 +title: Query Basics +sidebar_label: Query Basics +--- + +# Query Basics + +In this section: + +- We’ll take a React component that displays hard-coded placeholder data and modify it so that it fetches its data using a GraphQL query. +- We’ll learn how to use the TypeScript types that Relay generates from your GraphQL to ensure type safety. + +--- + +With Relay, you fetch data using GraphQL Queries. A Query specifies a part of the GraphQL graph for your app to fetch, starting from some root node and traversing from node to node to retrieve a particular set of data in the shape of a tree. + +![A query selects a particular subgraph](/img/docs/tutorial/query-upon-graph.png) + +Right now, our example app doesn’t fetch any data, it just renders some placeholder data that’s hard-coded into the React components. Let’s modify it to fetch some data using Relay. + +Open up the file called `Newsfeed.tsx`. (All of the components in the tutorial are in `src/components`.) In it you should see a `` component where the data is hard-coded: + +```jsx +export default function Newsfeed() { + const story = { + title: "Placeholder Story", + summary: "Placeholder data, to be replaced with data fetched via GraphQL", + poster: { + name: "Placeholder Person", + profilePicture: { + url: "/assets/cat_avatar.png", + }, + }, + thumbnail: { + url: "/assets/placeholder.jpeg", + }, + }; + return ( +
+ +
+ ); +} +``` + +We’re going to replace this placeholder data with data fetched from the server. First we need to define a GraphQL query. Add the following declaration above the Newsfeed component: + +``` +import { graphql } from 'relay-runtime'; + +// color1 +const NewsfeedQuery = graphql` + // color2 + query NewsfeedQuery { + topStory { + // color3 + title + // color3 + summary + // color4 + poster { + name + profilePicture { + url + } + } + thumbnail { + url + } + } + } +`; +``` + +Let’s break this down: + +- To embed GraphQL within Javascript, we put a string literal marked with the graphql`` tag. This tag allows the Relay compiler to find and compile the GraphQL within a Javascript codebase. +- Our GraphQL string consists of a query declaration with the keyword `query` and then a query name. +- Inside the query declaration are _fields_, which specify what information to query for*:* + - Some fields are _scalar fields_ that retrieve a string, number, or other unit of information. + - Other fields are _edges_ that let us traverse from one node in the graph to another. When a field is an edge, it’s followed by another block `{ }` containing fields for the node at the other end of the edge. Here, the `poster` field is an edge that goes from a Story to a Person who posted it. Once we’ve traversed to the Person, we can include fields about the Person such as their `name`. + +This illustrates the part of the graph that this query is asking for: + +![Parts of the GraphQL query](/img/docs/tutorial/query-breakdown.png) + +Now that we’ve defined the query, we need to modify our React component to fetch it and to use the data returned by the server. + +Turn back to the `Newsfeed` component and start by deleting the placeholder data. Then replace it with this: + +``` +import { useLazyLoadQuery } from "react-relay"; + +export default function Newsfeed({}) { + const data = useLazyLoadQuery( + // color1 + NewsfeedQuery, + // color2 + {}, + ); + const story = data.topStory; + // As before: + return ( +
+ +
+ ); +} +``` + +The `useLazyLoadQuery` hook fetches and returns the data. It takes two arguments: + +- The GraphQL query that we defined before. +- Variables that are passed to the server with the query. This query doesn’t declare any variables, so it’s an empty object. + +The object that `useLazyLoadQuery` returns has the same shape as the query. For instance, if printed in JSON format it might look like this: + +``` +{ + topStory: { + title: "Local Yak Named Yak of the Year", + summary: "The annual Yak of the Year awards ceremony ...", + poster: { + name: "Baller Bovine Board", + profilePic: { + url: '/images/baller_bovine_board.jpg', + }, + }, + thumbnail: { + url: '/images/max_the_yak.jpg', + } + } +} +``` + +Notice that each field selected by the GraphQL query corresponds to a property in the JSON response. + +At this point, you should see a story fetched from the server: + +![Screenshot](/img/docs/tutorial/queries-basic-screenshot.png) + +:::note +The server's responses are artifically slowed down to make loading states perceptible, which will come in handy when we add more interactivity to the app. If you want to remove the delay, open `server/index.js` and remove the call to `sleep()`. +::: + +The `useLazyLoadQuery` hook fetches the data when the component is first rendered. Relay also has APIs for pre-fetching the data before your app has even loaded — these are covered later. In any case, Relay uses Suspense to show a loading indicator until the data is available. + +This is Relay in its most basic form: fetching the results of a GraphQL query when a component is rendered. As the tutorial progresses, we’ll see how Relay’s features fit together to make your app more maintainable — starting with a look at how Relay generates TypeScript types corresponding to each query. + +
+Deep dive: Suspense for Data Loading + +_Suspense_ is a new API in React that lets React wait while data is loaded before it renders components that need that data. When a component needs to load data before rendering, React shows a loading indicator. You control the loading indicator's location and style using a special component called `Suspense`. + +Right now, there's a `Suspense` component inside `App.tsx`, which is what shows the spinner while `useLazyLoadQuery` is loading data. + +We'll look at Suspense in more detail in later sections when we add some more interactivity to the app. + +
+ +
+Deep dive: Queries are Static + +All of the GraphQL strings in a Relay app are pre-processed by the Relay compiler and removed from the resulting bundled code. This means you can’t construct GraphQL queries at runtime — they have to be static string literals so that they’re known at compile time. But it comes with major advantages. + +First, it allows Relay to generate type definitions for the results of the query, making your code more type-safe. + +Second, Relay replaces the GraphQL string literal with an object that tells Relay what to do. This is much faster than using the GraphQL strings directly at runtime. + +Also, Relay’s compiler can be configured to [save queries to the server](/docs/guides/persisted-queries/) when you build your app, so that at runtime the client need only send a query ID instead of the query itself. This saves bundle size and network bandwidth, and can prevent attackers from writing malicious queries since only those your app was built with need be available. + +So when you have a GraphQL tagged string literal in your program... + +``` +const MyQuery = graphql` + query MyQuery { + viewer { + name + } + } +`; +``` + +... the Javascript variable `MyQuery` is actually assigned to an object that looks something like this: + +``` +const MyQuery = { + kind: "query", + selections: [ + { + name: "viewer", + kind: "LinkedField", + selections: [ + name: "name", + kind: "ScalarField", + ], + } + ] +}; +``` + +along with various other properties and information. These data structures are carefully designed to allow the JIT to run Relay’s payload processing code very quickly. If you’re curious, you can use the [Relay Compiler Explorer](/compiler-explorer) to play with it. + +
+ +--- + +## Relay and the Type System + +You might notice that TypeScript reports an error with this code as we’ve written it: + +``` +const story = data.topStory; + ^^^^^^^^ +Property 'topStory' does not exist on type 'unknown' +``` + +To fix this, we need to annotate the call to `useLazyLoadQuery` with types that Relay generates. That way, TypeScript will know what type `data` should have based on the fields we’ve selected in our query. Add the following: + +``` +// change-line +import type {NewsfeedQuery as NewsfeedQueryType} from './__generated__/NewsfeedQuery.graphql'; + +function Newsfeed({}) { + const data = useLazyLoadQuery + // change-line + + (NewsfeedQuery, {}); + ... +} +``` + +If we look inside `__generated__/NewsfeedQuery.graphql` we’ll see the following type definition — with the annotation we’ve just added, TypeScript knows that `data` should have this type: + +``` +export type NewsfeedQuery$data = { + readonly topStory: { + readonly author: { + readonly name: string | null; + readonly profilePicture: { + readonly url: string; + } | null; + }; + readonly summary: string | null; + readonly thumbnail: { + readonly url: string; + } | null; + readonly title: string; + } | null; +}; +``` + +The Relay compiler generates TypeScript types corresponding to every piece of GraphQL that you have in your app within a graphql`` literal. As long as npm run dev is running, the Relay compiler will automatically regenerate these files whenever you save one of your JavaScript source files, so you don’t need to refresh anything to keep them up to date. + +Using Relay’s generated types makes your app safer and more maintainable. In addition to TypeScript, Relay supports the Flow type system if you want to use that instead. When using Flow, the extra annotation on `useLazyLoadQuery` is not needed, because Flow directly understands the contents of the graphql`` tagged literal. + +We’ll revisit types throughout this tutorial. But next, we'll look at an even more important way that Relay helps us with maintainability. + +--- + +## Summary + +Queries are the foundation of fetching GraphQL data. We’ve seen: + +- How to define a GraphQL query within our app using the graphql`` tagged literal +- How to use the `useLazyLoadQuery` hook to fetch the results of a query when a component renders. +- How to import Relay's generated types for type safety. + +In the next section, we’ll look at Fragments, one of the most core and distinctive aspects of Relay. Fragments let each individual component define its own data requirements, while retaining the performance advantages of issuing a single query to the server. diff --git a/rescript-relay-documentation/docs/tutorial/queries-2.md b/rescript-relay-documentation/docs/tutorial/queries-2.md new file mode 100644 index 00000000..065b3bcd --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/queries-2.md @@ -0,0 +1,398 @@ +--- +id: tutorial-queries-2 +title: Queries for Interactions +sidebar_label: Queries for Interactions +--- + +# Queries for Interactions + +We’ve seen how fragments let us specify data requirements in each component, yet at runtime perform only a single query for an entire screen. Here we’ll look at a situation where we _want_ a second query on the same screen. This will also let us explore some more features of GraphQL queries. + +- We’ll build a **hovercard** that shows more details about the poster of a story when you hover over their name. +- The hovercard will use a second query to fetch **additional information** that’s only needed if the user hovers. +- We’ll use **query variables** to tell the server which person we’d like more details about. +- We’ll see how to improve performance with **preloaded queries**. + +After covering these topics, we’ll return to look at some more advanced features of Fragments. + +--- + +In this section we’ll add a hovercard to `PosterByline` so that you can see more details about the poster of a story by hovering over their name. + +
+Deep dive: When to use a secondary query + +We've mentioned before that Relay is designed to help you fetch all of your data requirements for an entire screen up-front. But w can generalize this and say that it's a _user interaction_ that should have at most one query. Navigating to another screen is just one common type of user intecation. + +Within a screen, some interactions may disclose additional data from what was shown initially. If an interaction is performed relatively rarely, but needs a significant amount of additional data, it can be smart to fetch that additional data in a second query, performed when the interaction happens, rather than up-front when the screen is first loaded. This makes that initial load faster and less expensive. + +There are also some interactions where the amount of data fetched is indefinite — e.g., a hovercard within a hovercard — and not feasible to know statically. + +If data is lower-priority and should be loaded after the main data has loaded, but should pop in automatically without further user input, Relay has a feature called a _deferred fragment_ for that. We'll cover it later. + +
+ +We’ve already prepared a hovercard component that you can put to use. However, it has been in a directory called `future` in order to avoid compilation errors since it uses `ImageFragment`. Now that we’re at this stage of the tutorial, you can move the modules in `future` into `src/components`: + +``` +mv future/* src/components +``` + +Now, if you did the exercise to make `PosterByline` use fragments, the `PosterByline` component should look something like this: + +``` +export default function PosterByline({ poster }: Props): React.ReactElement { + const data = useFragment(PosterBylineFragment, poster); + return ( +
+ +
{data.name}
+
+ ); +} +``` + +To use the hovercard component, you can make the following changes: + +``` +// change-line +import Hovercard from './Hovercard'; +// change-line +import PosterDetailsHovercardContents from './PosterDetailsHovercardContents'; +// change-line +const {useRef} = React; + +... + +export default function PosterByline({ poster }: Props): React.ReactElement { + const data = useFragment(PosterBylineFragment, poster); + // change-line + const hoverRef = useRef(null); + return ( +
+ +
{data.name}
+ // change + + + + // end-change +
+ ); +} +``` + +You should now see that whenever you hover over someone’s name, you get a hovercard with more information. If you look inside `PosterDetailsHovercardContents.tsx`, you’ll find that it performs a second query with `useLazyLoadQuery` to fetch additional information when that component is mounted. + +There’s just one problem: it always shows the same person's information, no matter which poster you hover over! + +![Hovercard showing the wrong person](/img/docs/tutorial/queries-wrong-hovercard-person.png) + +--- + +## Query Variables + +We need to tell the server _which_ information we want more information about. GraphQL lets us define _query variables_ that can be passed as arguments to specific fields. These arguments are then available on the server. + +In the previous section, we saw how a field can accept arguments, but the argument values were hard-coded, e.g. `url(width: 200, height: 200)`. With query variables, we can determine these values at runtime. They’re passed from the client to the server alongside the query itself. GraphQL variables always begin with a `$` dollar sign. + +Take a look inside `PosterDetailsHovercardContents.tsx`: you should see a query like this one: + +``` +const PosterDetailsHovercardContentsQuery = graphql` + query PosterDetailsHovercardContentsQuery { + // color1 + node(id: "1") { + // color2 + ... on Actor { + ...PosterDetailsHovercardContentsBodyFragment + } + } + } +`; +``` + +The node field is a top-level field defined in our schema that lets us fetch any graph node given its unique ID. It takes the ID as an argument, which is currently hard-coded. In this exercise, we’ll be replacing this hard-coded ID with a variable supplied by our UI state. + +The funny-looking `... on Actor` is a _type refinement_. We’ll look at these in more detail in the next section and can ignore it for now. In brief, since we could supply any ID at all to the `node` field, there’s no way to know statically what _type_ of node we’d be selecting. The type refinement specifies what type we expect, allowing us to use fields from the `Actor` type + +Within that, we simply spread a fragment that contains the fields we want to show — about which more later. For now, here are the steps to take to replace this hard-coded ID with the ID of the poster we’re hovering over: + +### Step 1 — define a query variable + +First we need to edit our query to declare that it accepts a query variable. Here’s the change: + +``` +const PosterDetailsHovercardContentsQuery = graphql` + query PosterDetailsHovercardContentsQuery( + // change-line + $posterID: ID! + ) { + node(id: "1") { + ... on Actor { + ...PosterDetailsHovercardContentsBodyFragment + } + } + } +`; +``` + +- The variable name is `$posterID`. This is the symbol we’ll use within the rest of the GraphQL query to refer to the value passed in from the UI. +- Variables have a type — in this case `ID!`_._ The `ID` type is a synonym for `String` that is used for node IDs to help distinguish them from other strings. The `!` on `ID!` means that field is non-nullable. In GraphQL, fields are normally nullable and non-nullability is the exception. + +### Step 2 — pass the variable in as a field argument + +Now we replace the hard-coded `"1"` with our new variable: + +``` +const PosterDetailsHovercardContentsQuery = graphql` + query PosterDetailsHovercardContentsQuery($posterID: ID!) { + node( + // change-line + id: $posterID + ) { + ... on Actor { + ...PosterDetailsHovercardContentsBodyFragment + } + } + } +`; +``` + +:::note +You can use query variables not only as field arguments, but as arguments to fragments. +::: + +### Step 3 — provide the argument value to useLazyLoadQuery + +Now we need to pass in the actual value from our UI at runtime. The `useLazyLoadQuery` hook’s second argument is an object with variable values. We’ll add a new prop to our component and pass its value in there: + +``` +export default function PosterDetailsHovercardContents({ + // change-line + posterID, +}: { + // change-line + posterID: string; +}): React.ReactElement { + const data = useLazyLoadQuery( + PosterDetailsHovercardContentsQuery, + // change-line + {posterID}, + ); + return ; +} +``` + +### Step 4 — pass the ID in from the parent component + +Now we need to supply the `posterID` prop from the hovercard’s parent component, which is `PosterByline`. Head over to that file and add `id` to its fragment — then pass the ID in as a prop: + +``` +const PosterBylineFragment = graphql` + fragment PosterBylineFragment on Actor { + // change-line + id + ... + } +`; + +export default function PosterByline({ poster }: Props): React.ReactElement { + ... + return ( + ... + + ... + ); +} +``` + +At this point, the hovercard should show the appropriate information for each poster that we hover over. + +![Hovercard showing the correct person](/img/docs/tutorial/query-variables-hovercard-correct.png) + +If you use the Network inspector in your browser, you should be able to find that the variable value is being passed alongside the query: + +![Network request inspcetor showing variable being set to the server](/img/docs/tutorial/network-request-with-variables.png) + +You may also notice that this request is made only the first time you hover over a particular poster. Relay caches the results of the query and re-uses them after that, until eventually removing the cached data if it hasn’t been used recently. + +
+Deep dive: Caching and the Relay Store + +In contrast to most other systems, Relay’s caching is not based on queries, but on graph nodes. Relay maintains a local cache of all the nodes it has fetched called the Relay Store. Each node in the Store is identified and retrieved by its ID. If two queries ask for the same information, as identified by node IDs, then the second query will be fulfilled using the cached information retrieved for the first query, and not be fetched. + +Relay will garbage-collect nodes from the Store if they aren’t “reachable” from any queries that are used, or have been recently used, by any mounted components. + +
+ +
+Deep dive: Why GraphQL Needs a Syntax for Variables + +You might be wondering why GraphQL even has the concept of variables, instead of just interpolating the value of the variables into the query string. Well, [as mentioned before](../queries-1), the text of the GraphQL query string isn’t available at runtime, because Relay replaces it with a data structure that is more efficient. You can also configure Relay to use _prepared queries_, where the compiler uploads each query to the server at build time and assigns it an ID — in that case, at runtime, Relay is just telling the server “Give me query #1337”, so string interpolation isn't possible and therefore the variables have to come out of band. Even when the query string is available, passing variable values separately eliminates any issues with serializing arbitrary values and escaping strings, above what is required with any HTTP request. + +
+ +--- + +## Preloaded Queries + +This example app is very simple, so performance isn't an issue. (In fact, the server is artifically slowed down in order to make loading states perceptible.) However, one of Relay's main concerns is to make performance as fast as possible in real apps. + +Right now, the hovercard uses the `useLazyLoadQuery` hook, which fetches the query when the component is rendered. That means the timeline looks something like this: + +![Network doesn't start until render](/img/docs/tutorial/preloaded-basic.png) + +Ideally, we should start the network fetch as early as possible, but here we don't start it until React is finished rendering. This timeline could look even worse if we used `React.lazy` to load the code for the hovercard component itself when the interaction happened. In that case, it would look like this: + +![Network doesn't start until component is fetched and then rendered](/img/docs/tutorial/preloaded-lazy.png) + +Notice how we’re waiting around before we even start fetching the GraphQL query. It would be better if the query fetch began before the React component even rendered, right at the beginning in the mouse event handler itself. Then the timeline would look like this: + +![Network and component fetch happen concurrently](/img/docs/tutorial/preloaded-ideal.png) + +When the user interacts, we should immediately start fetching the query we need, while also beginning to render the component (fetching its code first if needed). Once both of these async processes are complete, we can render the component with the data available and show it to the user. + +Relay provides a feature called _preloaded queries_ that let us do this. + +Let’s modify the hovercard to use preloaded queries. + +### Step 1 — change useLazyLoadQuery to usePreloadedQuery + +As a reminder, this is the `PosterDetailsHovercardContents` component that currently fetches the data lazily: + +``` +export default function PosterDetailsHovercardContents({ + posterID, +}: { + posterID: string; +}): React.ReactElement { + const data = useLazyLoadQuery( + PosterDetailsHovercardContentsQuery, + {posterID}, + ); + return ; +} +``` + +It calls `useLazyLoadQuery` which accepts _variables_ as its second argument. We want to change this to `usePreloadedQuery`. However, with preloaded queries, the variables are actually determined when the query is fetched, which will be before this component is even rendered. So instead of variables, this hook takes a _query reference_ that contains the information it needs to retrieve the results of the query. The query reference will be created when we fetch the query in Step 2. + +Change the component as follows: + +``` +import {usePreloadedQuery} from 'react-relay'; +import type {PreloadedQuery} from 'react-relay'; +import type {PosterDetailsHovercardContentsQuery as QueryType} from './__generated__/PosterDetailsHovercardContentsQuery.graphql'; + +export default function PosterDetailsHovercardContents({ + // change-line + queryRef, +}: { + // change-line + queryRef: PreloadedQuery, +}): React.ReactElement { + // change-line + const data = usePreloadedQuery( + PosterDetailsHovercardContentsQuery, + // change-line + queryRef, + ); + ... +} +``` + +### Step 2: export the query for access from the parent component + +We’ll be modifying the parent component, `PosterByline`, to have it initiate the `PosterDetailsHovercardContentsQuery` query. It needs a reference to that query, so we need to export it: + +``` +export const PosterDetailsHovercardContentsQuery = graphql`... +``` + +### Step 3: Call useQueryLoader in the parent component + +Now that `PosterDetailsHovercardContents` expects a query ref, we need to create that query ref and pass it down from the parent component, which is `PosterByline`. We create the query ref using a hook called `useQueryLoader`. This hook also returns a function that we call in our event handler to trigger the query fetch. + +``` +import {useQueryLoader} from 'react-relay'; +import type {PosterDetailsHovercardContentsQuery as HovercardQueryType} from './__generated__/PosterDetailsHovercardContentsQuery.graphql'; +import {PosterDetailsHovercardContentsQuery} from './PosterDetailsHovercardContents'; + +export default function PosterByline({ poster }: Props): React.ReactElement { + ... + // change + const [ + hovercardQueryRef, + loadHovercardQuery, + ] = useQueryLoader(PosterDetailsHovercardContentsQuery); + // end-change + return ( + ... + + ... + ); +} +``` + +The `useQueryLoader` hook returns two things we need: + +- The query ref is an opaque piece of information that `usePreloadedQuery` will use to retrieve the result of the query. +- `loadHovercardQuery` is a function that will initiate the request. + +### Step 4: Fetch the query in the event handler + +Finally, we need to call `loadHovercardQuery` in an event handler that happens when the card is shown. Luckily the `Hovercard` component has a `onBeginHover` event that we can use: + +``` +export default function PosterByline({ poster }: Props): React.ReactElement { + ... + const [ + hovercardQueryRef, + loadHovercardQuery, + ] = useQueryLoader(PosterDetailsHovercardContentsQuery); + // change + function onBeginHover() { + loadHovercardQuery({posterID: data.id}); + } + // end-change + return ( +
+ ... + + + +
+ ); +} +``` + +Note that the query variables are now passed in here where we initiate the request. + +At this point, you should see the same behavior as before, but now it will be a little bit faster since Relay can get the query started earlier. + +:::tip +Although we introduced queries using `useLazyLoadQuery` for simplicity, preloaded queries are always the preferred way to use queries in Relay because they can significantly improve performance in the real world. With the appropriate [integrations with your server and router system](https://github.com/relayjs/relay-examples/tree/main/issue-tracker-next-v13), you can even preload the main query for a webpage on the server side before you’ve even downloaded or run any client code. +::: + +--- + +## Summary + +- Although all of the data initially shown on a screen should be combined into one query, user interactions needing further information can be handled with secondary queries. +- Query variables let you pass information to the server along with your query. +- Query variables are used by passing them into field arguments. +- Preloaded queries are always the best way to go. For user interaction queries, initiate the fetch in the event handler. For the initial query for your screen, initiate the fetch as early as possible in your specific routing system. Use lazy-loaded queries only for quick prototyping, or not at all. + +Next we'll briefly look at a way to enhance the hovecard by handling different types of posters differently. After that, we'll see how to handle situations where information that's part of the initial query also needs to be updated and refetched with different variables. diff --git a/rescript-relay-documentation/docs/tutorial/refetchable-fragments.md b/rescript-relay-documentation/docs/tutorial/refetchable-fragments.md new file mode 100644 index 00000000..a59bda19 --- /dev/null +++ b/rescript-relay-documentation/docs/tutorial/refetchable-fragments.md @@ -0,0 +1,350 @@ +--- +id: tutorial-refetchable-fragments +title: Refetchable Fragments +sidebar_label: Refetchable Fragments +--- + +# Refetchable Fragments + +In this section, we'll look at how to fetch different data in response to user input. + +- We'll build a **filterable friends list**. +- We'll see how to refetch only the necessary data, not an entire query. + +--- + +Since Relay encourages you to fetch all of your data in one big query, what happens when you need to refetch some data with different variables? + +For example, suppose you were building a filterable list. You would need to fetch new search results when the search input changed. + +One way to approach this would be to use a separate, secondary query to fetch the list, much like we did to fetch the hovercard earlier. Then we could change the query variables and refetch the query when the input changed. + +However, this isn't optimal, because it needlessly uses a second query to fetch the _initial_ list, before any user input occurs. The hovercard only appeared in response to a user interaction, but if the filterable list is visible and ready to be filtered, we might as well get its initial contents as part of our big query. + +On the other hand, we don't want to refetch the _entire big query_ whenever the input changes. Not only would this mean retrieving a large amount of data unnecessarily, it could disrupt other parts of the UI. If certain data unrelated to the filterable list has changed on the server, it would appear to randomly change when the query was refetched. Besides, this would mean threading the user input up to the top of the React tree where the query lives, which would not scale very well. + +To address these issues, Relay provides _refetchable fragments_. These are fragments that can be refetched with new variables, separately from the rest of the query that they get spread into. They allow us to change a fragment’s arguments and fetch new data for the new argument values, just as we can fetch an entire query with new query variables. + +But fragments are just that, fragments — they aren’t queries and can’t be fetched without being spread into a query and read out from the query results. So how do refetchable fragments actually work? The answer is that the Relay compiler generates a new, separate query just to refetch the fragment. The data is retrieved _initially_ as part of whatever larger query the fragment is spread into, but then when it’s refetched, the new synthetic query is used. + +--- + +To try this out, let's add a sidebar to the page with a filterable contacts list. After all, it wouldn't feel like a properly cozy newsfeed app without the ability to contact people. + +We've already prepared a `Sidebar` component, you just need to drop it into `App.tsx`: + +``` +// change-line +import Sidebar from './Sidebar'; + +export default function App(): React.ReactElement { + return ( + + }> +
+ + // change-line + +
+
+
+ ); +} +``` + +You should now see a sidebar with a list of people at the top. + +![Contacts list](/img/docs/tutorial/refetchable-contacts-initial.png) + +Have a look at `ContactsList.js` and you’ll find this fragment, which is what selects the list of contacts: + +``` +const ContactsListFragment = graphql` + fragment ContactsListFragment on Viewer { + contacts { + id + ...ContactRowFragment + } + } +`; +``` + +As it happens, the `contacts` field accepts a `search` argument that filters the list. You can try it out by changing `contacts` in this fragment to `contacts(search: "S")`. If you refresh the page, you should see only those contacts that have the letter S in them. + +Our goal, then, will be to hook up a search input so that, when the input changes, we refetch _just this fragment_ with a new value for that `search` argument. + +:::tip +As an optional exercise, try combining the queries of Sidebar and Newsfeed into a single query. There is no need for Sidebar to have its own query separate from Newsfeed; in a real app they would both have fragments and the _entire screen_ would have only a single query. We built it with a separate query to simplify the early examples in the tutorial. +::: + +### Step 1 — Add a fragment argument + +First we need to make this fragment accept an argument. With refetchable fragments, fragment arguments become query variables for the refetch query that Relay generates. (They also work like regular fragment arguments, so the parent query can pass in an initial value for the argument.) + +``` +const ContactsListFragment = graphql` + fragment ContactsListFragment on Viewer + // change + @argumentDefinitions( + search: {type: "String", defaultValue: null} + ) + // end-change + { + contacts { + id + ...ContactRowFragment + } + } +`; +``` + +### Step 2 — Pass the fragment argument as a field argument + +Pass the fragment argument in as an argument to the `contacts` field. + +``` +const ContactsListFragment = graphql` + fragment ContactsListFragment on Viewer + @argumentDefinitions( + search: {type: "String", defaultValue: null} + ) + { + // change-line + contacts(search: $search) { + id + ...ContactRowFragment + } + } +`; +``` + +Remember, the first `search` here is the name of the argument to `contacts`, while the second `$search` is the variable created by our fragment argument. + +### Step 3 — Add the @refetchable directive + +Next we'll add a `@refetchable` directive. This tells Relay to generate the extra query for refetching it. You have to specify the name of the generated query — it's a good idea to base it on the name of the fragment. + +``` +const ContactsListFragment = graphql` + fragment ContactsListFragment on Viewer + // change-line + @refetchable(queryName: "ContactsListRefetchQuery") + @argumentDefinitions( + search: {type: "String", defaultValue: null} + ) + { + // ... + } +`; +``` + +### Step 4 — Add the search input + +Now we need to actually hook this up to our UI. Take a look at the `ContactsList` component: + +``` +export default function ContactsList({ viewer }: Props) { + const data = useFragment(ContactsListFragment, viewer); + return ( + +

Contacts

+ {data.contacts.map(contact => + + )} +
+ ); +} +``` + +First we need to add a search field. + +``` +// change-line +import SearchInput from './SearchInput'; + +// change-line +const {useState} = React; + +function ContactsList({viewer}) { + const data = useFragment(ContactsListFragment, viewer); + // change-line + const [searchString, setSearchString] = useState(''); + // change + const onSearchStringChanged = (value: string) => { + setSearchString(value); + }; + // end-change + return ( + +

Contacts

+ // change + + // end-change + {data.contacts.map(contact => + + )} +
+ ); +} +``` + +### Step 5 — Call useRefetchableFragment + +Now to refetch the fragment when the string changes, we change `useFragment` to `useRefetchableFragment`. This hook returns a `refetch` function which will refetch the fragment with new variables which we provide as an argument. + +``` +// change-line +import {useRefetchableFragment} from 'react-relay'; + +function ContactsList({viewer}) { + // change-line + const [data, refetch] = useRefetchableFragment(ContactsListFragment, viewer); + const [searchString, setSearchString] = useState(''); + const onSearchStringChanged = (value) => { + setSearchString(value); + // change-line + refetch({search: value}); + }; + return ( + // ... + ); +} +``` + +You’ll notice that Relay gives us a callback for refetching, rather than accepting the new state variables as an argument to the hook and refetching when it is re-rendered with a different value. This means that the fetch begins as soon as the event takes place, saving some time versus waiting until React finishes re-rendering — the same principle we saw before with preloaded queries. It also gives us more control, for example if we wanted to debounce the refetch. + +### Step 6 — Control loading with useTransition + +At this point, when the fragment is refreshed, Relay uses Suspense while the new data is loading, so the entire component is replaced with a spinner! This makes the UI fairly unusable. We would rather just keep the current data on screen until the new data is available. + +The way Suspense normally works is this: When a component is missing data that it needs to render (as our component does after we refetch), it tells React to wait. When this happens, React finds the nearest Suspense component in the tree. It then replaces everything under that component with a "fallback" loading indicator. + +![Component needs data](/img/docs/tutorial/refetchable-suspense-1-data-needed.png) +![React finds the nearest Suspense point](/img/docs/tutorial/refetechable-suspense-2-nearest-suspense-point.png) +![Renders a fallback at that point until the data is available](/img/docs/tutorial/refetchable-suspense-3-fallback.png) + +This makes sense when initially loading a screen, but in this instance there's no reason to hide the existing UI and replace it with a spinner. While React is waiting, it can simply continue showing what's already there. + +To achieve this, we can mark the refetch as a _transition_. Transitions are React state updates that do not need to be immediately responded to — React can wait until the data is available. + +Transitions are marked by wrapping the state change in a call to a function provided by the `useTransition` hook. This is what the code will look like: + +``` +// change-line +const {useState, useTransition} = React; + +function ContactsList({viewer}) { + // change-line + const [isPending, startTransition] = useTransition(); + const [searchString, setSearchString] = useState(''); + const [data, refetch] = useRefetchableFragment(ContactsListFragment, viewer); + const onSearchStringChanged = (value) => { + setSearchString(value); + // change + startTransition(() => { + refetch({search: value}); + }); + // end-change + }; + return ( + +

Contacts

+ + {data.contacts.map(contact => + + )} +
+ ); +} +``` + +While React is waiting for the new data, instead of using a Suspense fallback, React re-renders the component with the `isPending` flag set to true. + +We simply pass the `isPending` flag to `SearchInput` (which causes it to show a spinner) while the refetch is happening. Meanwhile, by placing `setSearchString` outside of the transition but `refetch` within it, we tell React to immediately update the search input. + +We should now be able to search the contacts list with a nice user experience, showing a spinner but keeping the previous data visible while loading. + +![Search input goes from spinner to filtered list](/img/docs/tutorial/refetchable-transition-search.png) + +
+Deep dive: What fragments can be refetched? + +To refetch fragments, Relay has to know how to generate a query that lets it refetch just the information from the fragment. That’s only possible for fragments that meet certain requirements. + +You might imagine that we could, if nothing else, re-run the original query that the fragment was spread into. However, GraphQL doesn’t guarantee that the same query will return the same results at different times. For instance, imagine you had a GraphQL field that returned the top trending posts across the site: + +``` +query MyQuery { + topTrendingPosts { + title + summary + date + poster { + ...PosterFragment + } + } +} +``` + +If you wanted to refresh just `PosterFragment` from this query, it wouldn’t work to construct a query like this: + +``` +query MyQuery { + topTrendingPosts { + poster { + ...PosterFragment + } + } +} +``` + +... because the top trending post could be a different post by the time you refresh it! + +Relay needs a way of identifying the specific node in the graph that the fragment ends up on, even if it can no longer be reached by the same path that the original query uses. If the node has a unique and stable ID, then we can just have a convention for querying for “the graph node with some specific ID” like so: + +``` +query RefetchQuery { + node(id: "abcdef") { + ...PosterFragment + } +} +``` + +In fact, this is exactly the convention that Relay uses. It expects your server to implement a top-level field called `node` that takes an ID and gives you the graph node with that ID. (We saw `node` earlier with the hovercard example — there it was used to fetch a specific person given their ID using a secondary query.) + +Not every graph node has a stable ID — some are ephemeral. To be used with `node`, your schema has to declare that its type implements an interface called `Node`: + +``` +type Person implements Node { + id: ID! + ... +} +``` + +The `Node` interface simply says it has an ID, but more importantly indicates by convention that that ID is stable and unique: + +``` +interface Node { + id: ID! +} +``` + +Besides fragments on types that implement `Node`, you can also refetch fragments that are on `Viewer` (since the viewer is assumed to be stable throughout a session) and that are at the top level of a query (since there’s no field above them that could change identity). + +
+ +--- + +## Summary + +Refetchable fragments let us efficiently update specific parts of the UI in response to user input, while initializing them as part of the same query that we use for the entire screen. + +Relay's pagination features are built on refetchable fragments, too. We'll explore those next. diff --git a/rescript-relay-documentation/sidebars.js b/rescript-relay-documentation/sidebars.js index 4b156f36..df7a5adb 100755 --- a/rescript-relay-documentation/sidebars.js +++ b/rescript-relay-documentation/sidebars.js @@ -13,6 +13,18 @@ module.exports = { "vscode-extension", "rescript-relay-cli", ], + Tutorial: [ + "tutorial/tutorial-intro", + "tutorial/tutorial-arrays-lists", + "tutorial/tutorial-connections-pagination", + "tutorial/tutorial-fragments-1", + "tutorial/tutorial-graphql", + "tutorial/tutorial-interfaces-polymorphism", + "tutorial/tutorial-mutations-updates", + "tutorial/tutorial-queries-1", + "tutorial/tutorial-queries-2", + "tutorial/tutorial-refetchable-fragments", + ], "Using RescriptRelay": [ "making-queries", "using-fragments", diff --git a/rescript-relay-documentation/static/img/docs/tutorial/arrays-keys-warning-screenshot.png b/rescript-relay-documentation/static/img/docs/tutorial/arrays-keys-warning-screenshot.png new file mode 100644 index 0000000000000000000000000000000000000000..09e41660ff90dfbd14fab3ae4cd3dd6269713205 GIT binary patch literal 59245 zcmdqHWmH`~w=jykyGwCOahHu3Dems>?heHrihFT)DehJrN^y7D=*HpO&wJi;zBBF} z_niNCjgghCBy%R2E18)VrKBK*ibRA20Re$3BQ2o<0RbBgE;l2%{tRRc=`@c#d{hC`ZFA&@0|km>+ce1j10u4k`;>n9 z+43Xsiw=}AfE=q9~^=LyscKR4X_h2M*yHif>wNSC&sf zbGI8QJB$}?XbK{6$y?Bx7J|q=(Gu^5qcHp{%h0q*urvxpE@FeB!KMV{kTu4d7%}3I zi@(M*I)7&1f*kqc{xv&%g9~%C7#h~WHy3Z!_ZhcWU~>9r;wxj+DxWk?CIx_HMw>1l zHr2is=`NYGj~eIDDn=j%A`S@S=OUA~R?$2e*Y1(4(R2{m&@_~R63oz7jEG3rpP$tI ze8TC&klFMot&+-vvLPA(L&#xI{nw1y^7B#7jD}YF;i-cf*GJwe-wiwJ;2U!!T4g`n z(-N!ZM>(ULu#zcD#q6}{Wurs1piRnNa~=_XOpWa_DJ%xXso~KjY+>#47V>f`RV3hA zNQ>{Pfl9oepl^q{&7<0t8M}HZK2yqNl2>QWs1BhYg|r|JpASKj8owWp1$Q8XiS|!) znCgo;n{>$@g%(q=D)8Zz$-0=Tf!aG*dDNz}#n00W3F?Sq=y3aBD;7sNsA1UmT*`g||IxG{v+K3KvuqxV6^rE=+0jl30s8Tf_>g?Py|7N=Di9)lBPKY>mgGBUwnizN_i9z=B(UWZQzTZYimcfz~mVod;o z!pg!t2B-$y#o%{9Fmog)ipud&q)NgPKVt64U4wPS)ozptSLco8uQM03EFpcKL=*#(kS7}xCp%0JEACp;;SWC1c9r;TQ2 z-uZ;h3?bGc^S?B}{)Idz@j&VfA{{=3#1;tVGWznDjgL%EUlFIuwofGycJoTy|56=e$z$Q0CG1Tk98-=0JxZq6RgkRtE?$~`@s zLySGdkp`2V4wvK*k9o&HpzuvDvM^*HK(YM|J@Cj*`)Z*OuJ38kFSA)`eCGxkvWMo_ zsf-W;+X&Kb$4@T^{t6P3f*>r^DiK1Z&x^nxPwz;Dl~4}4NfePD`ddF^J(?YiZXa4b z@j3kcHa#!wbjY^?R6TglozoK-77-RNcmNfGn3xp;G@FPV=I0?uXHl(4a;#X1PtMXv z$>C<7OeDhP#1B82kGYtUHWF5R1yM#MsgA)GlXk=jO8iP%9;3q%Us5JrBxv~>@slYv z?rQN$zp>Y+=~22Jjw{JWem{7F2%bI7>j*EF z_c#$M0!$KwO&DflPRbP4OeHaTIy)+oPdUN96)9Ko($uGz_K|r`ETtGtQL0ffk!Ml9 zk#tcPL!(0gtSB=P7mBCkA{jvy$cnJ$wB{JM5V!A(GS4C!RN2Y;W0d=9jTwRwdJ3B| z0EHg0fUoazbH!T9T?}(Lkmg9{h~}S5l3X(9WuD}gidL2UD-aj$PVG*KY`)y1+>_nM zWo2b`WTop=XGzdE;Z>!p*Wr9bWq^7CKjYi5N?*9s#}w9lOHUGCG4FP1wC zAFLyDv3Lj+KuUkE0o}jZ-9k$T-e~$uP^V z=Hzpjx1V6W=fKUZH7Q~ORQODDcD$3olGdohfst z-04(n*K;lD2ydTuvv=}8INYXnTif=S%-sP@`1kmxylA2;qE|@ONVS!fSY}z49LcAl zeGYGlbl;5G#y#d*I4fV4azqD00pB(QpLn15AJ6Yjh^#qOcwNrMMtcr>1h=MoNCV`0 zIeX;;NZ&2q1wR-+q#*GiLxSufXa0Je+ku!tlOjhV*4u@B4`#uF^wk&99-f${2aL2c-A@me7s!4d?fsaenm

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