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Simple in-memory promise-based task queue with support for pausing, merging tasks, or retrying failed tasks
Simple in-memory promise-based task queue with support for pausing, merging tasks, or retrying failed tasks
npm install --save suprqueue
import { Suprqueue } from 'suprqueue'
const queue = new Suprqueue(
async (task: YourTask): YourResult => {
console.log('process task', task)
},
{
retryOnFailure: true,
retryDelay: 1000,
}
)
const yourResult = await queue.pushTask(yourTask)
const queue = new Suprqueue((url: string) => {
const res = await fetch(url)
console.log('Downloaded', url, await res.json())
})
queue.pushTask('/api/items/1')
queue.pushTask('/api/items/2')
The returned promise is resolved with the tasks result, or its failure
const [item1, item2] = await Promise.all([queue.pushTask('/api/items/1'), queue.pushTask('/api/items/2')])
try {
const item3 = queue.pushTask('/api/items/3')
} catch (err) {
console.error('Failed to process task', err)
}
const queue = new Suprqueue(
async (task: YourTask) => {
// Your logic that can fail/throw
},
{
retryOnFailure: true,
}
)
const yourResult = await queue.pushTask(yourTask)
The retry can also be delayed via the retryDelay
option.
In case other tasks are queued while processing the task that failed, we can choose whether the retry should be prioritized before the newer tasks (preserving original order) or whether it should be appended to the queue and run afterwards. This is done via the retryBeforeOtherTasks
option.
It can be beneficial to batch tasks together. In such situation, the tasks for which the key
function returns the same value are merged via the merge
function. The promises of all merged tasks resolve with the same result.
const queue = new Suprqueue(
async (task: { type: string, ids: Array<string> }) => {
const results = ids.map((id) => `result:${id}`)
return results
},
{
key: (task) => task.type,
merge: (task1, task2) => ({ ...task1, ids: [...task1.ids, ...task2.ids] }),
}
)
const [appleResults, bananaResults, appleResultsToo] = await Promise.all([
queue.pushTask({ type: 'apple', ids: ['a', 'b'] }),
queue.pushTask({ type: 'banana', ids: ['x']})
queue.pushTask({ type: 'apple', ids: ['c', 'd'] }),
])
assert(appleResults === appleResultsToo)
assert.deepEqual(appleResults, ['result:a', 'result:b', 'result:c', 'result:d'])
assert.deepEqual(bananaResults, ['result:x'])
const queue = new Suprqueue(
async (op: DocumentOperation) => {
const result = await doc.applyOperation(op)
return { op, result }
},
{
precheck: () => {
if (!doc.isReady()) {
throw new Error('Document is not ready to have operations applied.')
}
},
retryPrecheckOnFailure: true,
precheckRetryDelay: 500,
}
)
There can be many situations in which it is desirable to pause a queue. To prevent race conditions with another process or to remain within some sort of a quota can be two nice examples.
const queue = new Suprqueue(
async (itemId: string) => {
const res = await fetch(`https://some-api-with-quota/fetch-item/${itemId}`)
if (res.status === 429) {
queue.pause()
const resetAfterSeconds = Number(res.headers.get('RateLimit-Reset')) || 60
setTimeout(() => {
queue.resume()
}, resetAfterSeconds * 1000)
throw new Error('Rate limit reached')
}
saveItem(await res.json())
},
{
retryOnFailure: true,
}
)
queue.pushTask('a')
queue.pushTask('b')
The queue can be paused from within the task handler, the precheck function, or from any other logic.
In-progress tasks are finished when the queue gets paused, although they are not retried on failure – they are only retried later on resume, provided the retryOnFailure
option is set.
When the queue is paused during the precheck function or the retry delay of a failed task, the task is only processed after the queue is resumed.
FAQs
Simple in-memory promise-based task queue with support for pausing, merging tasks, or retrying failed tasks
The npm package suprqueue receives a total of 90 weekly downloads. As such, suprqueue popularity was classified as not popular.
We found that suprqueue demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
Did you know?
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