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https://issues.apache.org/jira/browse/GROOVY-9381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18034829#comment-18034829
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Daniel Sun commented on GROOVY-9381:
------------------------------------
[~blackdrag]
It seems {{Flow}} introduced since Java9 can help us implement
publish-subscribe, it corresponds to the reactive-streams specification.
https://docs.oracle.com/javase/9/docs/api/java/util/concurrent/Flow.html
> Support async/await like ES7
> ----------------------------
>
> Key: GROOVY-9381
> URL: https://issues.apache.org/jira/browse/GROOVY-9381
> Project: Groovy
> Issue Type: New Feature
> Reporter: Daniel Sun
> Priority: Major
>
> Here is an example to show proposed syntax and backend API(Java's
> {{CompletableFuture}} or GPars's {{{}Promise{}}}), but I think it's better
> for Groovy to have its own {{Promise}} to decouple with Java API because
> async/await as a language feature should be as stable as possible.
> {{async}} will generate the {{Awaitable}} instance such as Groovy {{Promise}}
> implementing the {{Awaitable}} interface, and {{await}} can wait for any
> {{Awaitable}} instance to complete and unwrap it for the result.
> {code:java}
> /**
> * 1. An async function that simulates a network API call.
> * The 'async' keyword implies it runs asynchronously without blocking.
> */
> async fetchUserData(userId) {
> println "Starting to fetch data for user ${userId}..."
>
> // Simulate a 1-second network delay.
> Thread.sleep(1000)
>
> println "Fetch successful!"
> // The 'async' function implicitly returns a "CompletableFuture" or
> "Promise" containing this value.
> return [userId: userId, name: 'Daniel']
> }
> /**
> * 2. An async function that uses 'await' to consume the result.
> */
> async processUserData() {
> println "Process started, preparing to fetch user data..."
>
> try {
> // 'await' pauses this function until fetchUserData completes
> // and returns the final result directly.
> def user = await fetchUserData(1)
>
> println "Data received: ${user}"
> return "Processing complete for ${user.name}."
>
> } catch (Exception e) {
> return "An error occurred: ${e.message}"
> }
> }
> // --- Execution ---
> println "Script starting..."
> // Kick off the entire asynchronous process.
> def future = processUserData()
> // This line executes immediately, proving the process is non-blocking.
> println "Script continues to run while user data is being fetched in the
> background..."
> def result = future.get()
> println "Script finished: ${result}"
> {code}
> Use async/await with closure or lambda expression:
> {code}
> // use closure
> def c = async {
> println "Process started, preparing to fetch user data..."
>
> try {
> // 'await' pauses this function until fetchUserData completes
> // and returns the final result directly.
> def user = await fetchUserData(1)
>
> println "Data received: ${user}"
> return "Processing complete for ${user.name}."
>
> } catch (Exception e) {
> return "An error occurred: ${e.message}"
> }
> }
> def future = c()
> {code}
> {code}
> // use lambda expression
> def c = async () -> {
> println "Process started, preparing to fetch user data..."
>
> try {
> // 'await' pauses this function until fetchUserData completes
> // and returns the final result directly.
> def user = await fetchUserData(1)
>
> println "Data received: ${user}"
> return "Processing complete for ${user.name}."
>
> } catch (Exception e) {
> return "An error occurred: ${e.message}"
> }
> }
> def future = c()
> {code}
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