ForkModel.md

redux-saga's fork model

In redux-saga you can dynamically fork tasks that execute in the background using 2 Effects

• fork is used to create attached forks
• spawn is used to create detached forks

Attached forks (using fork)

Attached forks remain attached to their parent by the following rules

Completion

• A Saga terminates only after
  • It terminates its own body of instructions
  • All attached forks are themselves terminated

For example say we have the following

import { fork, call, put, delay } from 'redux-saga/effects'
import api from './somewhere/api' // app specific
import { receiveData } from './somewhere/actions' // app specific

function* fetchAll() {
  const task1 = yield fork(fetchResource, 'users')
  const task2 = yield fork(fetchResource, 'comments')
  yield delay(1000)
}

function* fetchResource(resource) {
  const {data} = yield call(api.fetch, resource)
  yield put(receiveData(data))
}

function* main() {
  yield call(fetchAll)
}

call(fetchAll) will terminate after:

• The fetchAll body itself terminates, this means all 3 effects are performed. Since fork effects are non blocking, the task will block on delay(1000)

• The 2 forked tasks terminate, i.e. after fetching the required resources and putting the corresponding receiveData actions

So the whole task will block until a delay of 1000 millisecond passed and both task1 and task2 finished their business.

Say for example, the delay of 1000 milliseconds elapsed and the 2 tasks haven't yet finished, then fetchAll will still wait for all forked tasks to finish before terminating the whole task.

The attentive reader might have noticed the fetchAll saga could be rewritten using the parallel Effect

function* fetchAll() {
  yield all([
    call(fetchResource, 'users'),     // task1
    call(fetchResource, 'comments'),  // task2,
    delay(1000)
  ])
}

In fact, attached forks shares the same semantics with the parallel Effect:

• We're executing tasks in parallel
• The parent will terminate after all launched tasks terminate

And this applies for all other semantics as well (error and cancellation propagation). You can understand how attached forks behave by considering it as a dynamic parallel Effect.

Error propagation

Following the same analogy, Let's examine in detail how errors are handled in parallel Effects

for example, let's say we have this Effect

yield all([
  call(fetchResource, 'users'),
  call(fetchResource, 'comments'),
  delay(1000)
])

The above effect will fail as soon as any one of the 3 child Effects fails. Furthermore, the uncaught error will cause the parallel Effect to cancel all the other pending Effects. So for example if call(fetchResource, 'users') raises an uncaught error, the parallel Effect will cancel the 2 other tasks (if they are still pending) then aborts itself with the same error from the failed call.

Similarly for attached forks, a Saga aborts as soon as

• Its main body of instructions throws an error

• An uncaught error was raised by one of its attached forks

So in the previous example

//... imports

function* fetchAll() {
  const task1 = yield fork(fetchResource, 'users')
  const task2 = yield fork(fetchResource, 'comments')
  yield delay(1000)
}

function* fetchResource(resource) {
  const {data} = yield call(api.fetch, resource)
  yield put(receiveData(data))
}

function* main() {
  try {
    yield call(fetchAll)
  } catch (e) {
    // handle fetchAll errors
  }
}

If at a moment, for example, fetchAll is blocked on the delay(1000) Effect, and say, task1 failed, then the whole fetchAll task will fail causing

• Cancellation of all other pending tasks. This includes:

  • The main task (the body of fetchAll): cancelling it means cancelling the current Effect delay(1000)
  • The other forked tasks which are still pending. i.e. task2 in our example.

• The call(fetchAll) will raise itself an error which will be caught in the catch body of main

Note we're able to catch the error from call(fetchAll) inside main only because we're using a blocking call. And that we can't catch the error directly from fetchAll. This is a rule of thumb, you can't catch errors from forked tasks. A failure in an attached fork will cause the forking parent to abort (Just like there is no way to catch an error inside a parallel Effect, only from outside by blocking on the parallel Effect).

Cancellation

Cancelling a Saga causes the cancellation of:

• The main task this means cancelling the current Effect where the Saga is blocked

• All attached forks that are still executing

WIP

Detached forks (using spawn)

Detached forks live in their own execution context. A parent doesn't wait for detached forks to terminate. Uncaught errors from spawned tasks are not bubbled up to the parent. And cancelling a parent doesn't automatically cancel detached forks (you need to cancel them explicitly).

In short, detached forks behave like root Sagas started directly using the middleware.run API.

WIP