Fetching Data
Edit this pageFor most modern web applications, data fetching is a common task.
Solid has a built-in utility, createResource
, that was created to simplify data fetching.
createResource
?
What is createResource
is a specialized signal designed specifically for managing asynchronous data fetching.
It wraps around the async operations, providing a way to handle various states: loading, success, and error.
This function is non-blocking, meaning that createResource
guarantees that the application remains responsive, even during the retrieval of information.
Because of this, common pitfalls of traditional async handling, such as unresponsive UIs during data fetching can be avoided.
createResource
Using createResource
requires a function that returns a promise as its argument.
Upon the call, createResource
returns a signal which has reactive properties like loading, error, latest, etc.
These properties can be used to conditionally render JSX based on the current reactive state.
The fetcher function that is created makes a call to get a user, which is then passed in as an argument to createResource
.
The signal returned from the createResource
provides the properties that help can assist with conditional rendering based on the current reactive state:
state
: The current status of the operation (unresolved
,pending
,ready
,refreshing
, orerrored
).loading
: Indicates that the operation is currently in progress via aboolean
.error
: If the operation fails for any reason, this property will contain information about this error. It may be a string with an error message, or an object with more detailed information.latest
: The most recent data or result returned from the operation.
When there is a change in the source signal, an internal fetch process is triggered to retrieve new data based on this change.
Whenever the signal value, userId
, changes, the internal fetch method fetchUser
gets triggered.
The properties of the user
resource allow for conditional rendering based on the different states of the fetch process.
The Switch/Match
construct provides one way to manage these conditions.
When the fetch succeeds and user data is retrieved, the user(
) condition becomes active, and its related block executes.
However, if there's an error while fetching, the user.error
block becomes true
, leading to its corresponding Match
block being shown.
In addition to the error
property, the loading
property offers a way to display a loading state to the user during the fetch operation.
Calling multiple async events
Although you can use createResource
independently, Solid provides an alternative method for synchronizing the display of multiple asynchronous events.
Suspense
is a component in Solid designed to act as a boundary.
It allows you to display a fallback placeholder while waiting for all asynchronous events to resolve, preventing the display of partially loaded content:
Suspense
has the ability to identify asynchronous reads within its descendants and act accordingly.
This feature helps to remove any intermediate components that may otherwise be displayed during partial loading states.
Additionally, you can nest as many components as needed within Suspense
but only the closest ancestor will switch to the fallback
state when a loading state is detected.
Dynamic data handling
With the second output of createResource
, there are 2 powerful methods designed to enhance and simplify some complex aspects of data management:
mutate
In situations where immediate feedback or responsiveness is important, the mutate
method offers "optimistic mutations."
These mutations provide instant feedback, even while background processes, such as server confirmations, are still in progress.
This functionality is particularly valuable in applications like task lists.
For example, when users input a new task and click the Add
button, the list will refresh immediately, regardless of the ongoing data communication with the server.
refetch
When real-time feedback is necessary, the refetch
method can be used to reload the current query regardless of any changes.
This method can be particularly useful when data is constantly evolving, such as with real-time financial applications.