Async 是一个实用的module,它提供了一些简单又强大函数用来处理js的异步工作。虽然它最初是为Node.js设计,而且是通过npm来安装,但是它也可以直接在浏览器中被使用。
Async也可以通过以下途径被安装
- bower:
bower install async
- component:
component install caolan/async
- jam:
jam install async
- spm:
spm install async
Async提供了大约20个function,包括常用的function(map
, reduce
, filter
, each
)以及一些通用模块用来异步控制函数流程(parallel
, series
, waterfall
)。所有这些功能都需要你按照Node.js公约提供一个callback作为你的异步函数的最后一个参数
Quick Example
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下面有更多的可用的function,请继续往下看。
这份文档的目的是为了覆盖全面,如果你觉得有任何没有写到的地方,请在github上创建一个issue
常见陷阱
同步迭代函数
如果你遇到了一个像这样的错误:RangeError: Maximum call stack size exceeded
或者在使用async时遇到其他堆栈溢出问题,你可能是用了同步迭代。我的意思是使用了同步也就是在js的消息队列里的同一时间点,而没有进行任何io操作或者使用计时器。迭代地调用很多callback会非常快的将堆栈溢出。如果你遇到这个问题,请用async.setImmediate来设计的你的callback, 这样会在消息队列的下一个时间点启用一个新的调用栈(call stack)。
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改成这样写就好了:
Async可以预防一些同步函数,但不是所有。如果你仍然遇到堆栈溢出,你可以按照上述建议,或用async.ensureAsync
包裹函数,这个函数的性质是异步的,所以就不会造成问题了,也就不需要额外的回调延期。
如果你对JavaScript的事件循环仍然有点模糊,看看这篇文章,获取更详细的信息,看看它是如何工作的。
多个回调
请确保在你调用了callback之后return
了,否则在很多情况下你将会造成多个回调和其他不可预知的行为。
无论一个callback的调用是否是一个函数的最后一个语句,return callback(err, result);
都是非常好的做法。
为一个迭代绑定一个context
这段是关于绑定,不是异步。如果你想知道如何让你的迭代在一个指定的context下执行,或者困惑为什么一个function在迭代的时候不起作用,那么看看下面这个栗子:
下载
可以在GitHub上下载源码,或者你可以通过npm
来安装:
使用Bower也一样
开发板: async.js - 29.6kb 未压缩
在浏览器中使用
目前为止已经在 IE6, IE7, IE8, FF3.6 和 Chrome 5中通过测试。
使用方法:
文档目录
Collections
Control Flow
Utils
Documentation
Some functions are also available in the following forms:
<name>Series
- the same as<name>
but runs only a single async operation at a time<name>Limit
- the same as<name>
but runs a maximum oflimit
async operations at a time
Collections
each
,eachSeries
,eachLimit
forEachOf
,forEachOfSeries
,forEachOfLimit
map
,mapSeries
,mapLimit
filter
,filterSeries
,filterLimit
reject
,rejectSeries
,rejectLimit
reduce
,reduceRight
detect
,detectSeries
,detectLimit
sortBy
some
,someLimit
,someSeries
every
,everyLimit
,someSeries
concat
,concatSeries
Control Flow
series
parallel
,parallelLimit
whilst
,doWhilst
until
,doUntil
during
,doDuring
forever
waterfall
compose
seq
applyEach
,applyEachSeries
queue
,priorityQueue
cargo
auto
autoInject
retry
iterator
times
,timesSeries
,timesLimit
race
Utils
Collections
each(arr, iteratee, [callback])
Applies the function iteratee
to each item in arr
, in parallel.
The iteratee
is called with an item from the list, and a callback for when it
has finished. If the iteratee
passes an error to its callback
, the maincallback
(for the each
function) is immediately called with the error.
Note, that since this function applies iteratee
to each item in parallel,
there is no guarantee that the iteratee functions will complete in order.
Arguments
arr
- An array to iterate over.iteratee(item, callback)
- A function to apply to each item inarr
.
The iteratee is passed acallback(err)
which must be called once it has
completed. If no error has occurred, thecallback
should be run without
arguments or with an explicitnull
argument. The array index is not passed
to the iteratee. If you need the index, useforEachOf
.callback(err)
- Optional A callback which is called when alliteratee
functions
have finished, or an error occurs.
Examples
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Related
- eachSeries(arr, iteratee, [callback])
- eachLimit(arr, limit, iteratee, [callback])
forEachOf(obj, iteratee, [callback])
Like each
, except that it iterates over objects, and passes the key as the second argument to the iteratee.
Arguments
obj
- An object or array to iterate over.iteratee(item, key, callback)
- A function to apply to each item inobj
.
Thekey
is the item’s key, or index in the case of an array. The iteratee is
passed acallback(err)
which must be called once it has completed. If no
error has occurred, the callback should be run without arguments or with an
explicitnull
argument.callback(err)
- Optional A callback which is called when alliteratee
functions have finished, or an error occurs.
Example
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Related
- forEachOfSeries(obj, iteratee, [callback])
- forEachOfLimit(obj, limit, iteratee, [callback])
map(arr, iteratee, [callback])
Produces a new array of values by mapping each value in arr
through
the iteratee
function. The iteratee
is called with an item from arr
and a
callback for when it has finished processing. Each of these callback takes 2 arguments:
an error
, and the transformed item from arr
. If iteratee
passes an error to its
callback, the main callback
(for the map
function) is immediately called with the error.
Note, that since this function applies the iteratee
to each item in parallel,
there is no guarantee that the iteratee
functions will complete in order.
However, the results array will be in the same order as the original arr
.
Arguments
arr
- An array to iterate over.iteratee(item, callback)
- A function to apply to each item inarr
.
The iteratee is passed acallback(err, transformed)
which must be called once
it has completed with an error (which can benull
) and a transformed item.callback(err, results)
- Optional A callback which is called when alliteratee
functions have finished, or an error occurs. Results is an array of the
transformed items from thearr
.
Example
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Related
- mapSeries(arr, iteratee, [callback])
- mapLimit(arr, limit, iteratee, [callback])
filter(arr, iteratee, [callback])
Alias: select
Returns a new array of all the values in arr
which pass an async truth test.
This operation is performed in parallel,
but the results array will be in the same order as the original.
Arguments
arr
- An array to iterate over.iteratee(item, callback)
- A truth test to apply to each item inarr
.
Theiteratee
is passed acallback(err, truthValue)
, which must be called with a
boolean argument once it has completed.callback(err, results)
- Optional A callback which is called after all theiteratee
functions have finished.
Example
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Related
- filterSeries(arr, iteratee, [callback])
- filterLimit(arr, limit, iteratee, [callback])
reject(arr, iteratee, [callback])
The opposite of filter
. Removes values that pass an async
truth test.
Related
- rejectSeries(arr, iteratee, [callback])
- rejectLimit(arr, limit, iteratee, [callback])
reduce(arr, memo, iteratee, [callback])
Aliases: inject
, foldl
Reduces arr
into a single value using an async iteratee
to return
each successive step. memo
is the initial state of the reduction.
This function only operates in series.
For performance reasons, it may make sense to split a call to this function into
a parallel map, and then use the normal Array.prototype.reduce
on the results.
This function is for situations where each step in the reduction needs to be async;
if you can get the data before reducing it, then it’s probably a good idea to do so.
Arguments
arr
- An array to iterate over.memo
- The initial state of the reduction.iteratee(memo, item, callback)
- A function applied to each item in the
array to produce the next step in the reduction. Theiteratee
is passed acallback(err, reduction)
which accepts an optional error as its first
argument, and the state of the reduction as the second. If an error is
passed to the callback, the reduction is stopped and the maincallback
is
immediately called with the error.callback(err, result)
- Optional A callback which is called after all theiteratee
functions have finished. Result is the reduced value.
Example
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reduceRight(arr, memo, iteratee, [callback])
Alias: foldr
Same as reduce
, only operates on arr
in reverse order.
detect(arr, iteratee, [callback])
Alias: find
Returns the first value in arr
that passes an async truth test. Theiteratee
is applied in parallel, meaning the first iteratee to return true
will
fire the detect callback
with that result. That means the result might not be
the first item in the original arr
(in terms of order) that passes the test.
If order within the original arr
is important, then look at detectSeries
.
Arguments
arr
- An array to iterate over.iteratee(item, callback)
- A truth test to apply to each item inarr
.
The iteratee is passed acallback(err, truthValue)
which must be called with a
boolean argument once it has completed.callback(err, result)
- Optional A callback which is called as soon as any iteratee returnstrue
, or after all theiteratee
functions have finished. Result will be
the first item in the array that passes the truth test (iteratee) or the
valueundefined
if none passed.
Example
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Related
- detectSeries(arr, iteratee, [callback])
- detectLimit(arr, limit, iteratee, [callback])
sortBy(arr, iteratee, [callback])
Sorts a list by the results of running each arr
value through an async iteratee
.
Arguments
arr
- An array to iterate over.iteratee(item, callback)
- A function to apply to each item inarr
.
The iteratee is passed acallback(err, sortValue)
which must be called once it
has completed with an error (which can benull
) and a value to use as the sort
criteria.callback(err, results)
- Optional A callback which is called after all theiteratee
functions have finished, or an error occurs. Results is the items from
the originalarr
sorted by the values returned by theiteratee
calls.
Example
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Sort Order
By modifying the callback parameter the sorting order can be influenced:
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some(arr, iteratee, [callback])
Alias: any
Returns true
if at least one element in the arr
satisfies an async test.
If any iteratee call returns true
, the main callback
is immediately called.
Arguments
arr
- An array to iterate over.iteratee(item, callback)
- A truth test to apply to each item in the array
in parallel. The iteratee is passed a `callback(truthValue)`` which must be
called with a boolean argument once it has completed.callback(err, result)
- Optional A callback which is called as soon as any iteratee returnstrue
, or after all the iteratee functions have finished. Result will be
eithertrue
orfalse
depending on the values of the async tests.
Example
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Related
- someSeries(arr, iteratee, callback)
- someLimit(arr, limit, iteratee, callback)
every(arr, iteratee, [callback])
Alias: all
Returns true
if every element in arr
satisfies an async test.
If any iteratee call returns false
, the main callback
is immediately called.
Arguments
arr
- An array to iterate over.iteratee(item, callback)
- A truth test to apply to each item in the array
in parallel. The iteratee is passed acallback(err, truthValue)
which must be
called with a boolean argument once it has completed.callback(err, result)
- Optional A callback which is called after all theiteratee
functions have finished. Result will be eithertrue
orfalse
depending on
the values of the async tests.
Example
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Related
- everySeries(arr, iteratee, callback)
- everyLimit(arr, limit, iteratee, callback)
concat(arr, iteratee, [callback])
Applies iteratee
to each item in arr
, concatenating the results. Returns the
concatenated list. The iteratee
s are called in parallel, and the results are
concatenated as they return. There is no guarantee that the results array will
be returned in the original order of arr
passed to the iteratee
function.
Arguments
arr
- An array to iterate over.iteratee(item, callback)
- A function to apply to each item inarr
.
The iteratee is passed acallback(err, results)
which must be called once it
has completed with an error (which can benull
) and an array of results.callback(err, results)
- Optional A callback which is called after all theiteratee
functions have finished, or an error occurs. Results is an array containing
the concatenated results of theiteratee
function.
Example
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Related
- concatSeries(arr, iteratee, [callback])
Control Flow
series(tasks, [callback])
Run the functions in the tasks
array in series, each one running once the previous
function has completed. If any functions in the series pass an error to its
callback, no more functions are run, and callback
is immediately called with the value of the error.
Otherwise, callback
receives an array of results when tasks
have completed.
It is also possible to use an object instead of an array. Each property will be
run as a function, and the results will be passed to the final callback
as an object
instead of an array. This can be a more readable way of handling results fromseries
.
Note that while many implementations preserve the order of object properties, the
ECMAScript Language Specification
explicitly states that
The mechanics and order of enumerating the properties is not specified.
So if you rely on the order in which your series of functions are executed, and want
this to work on all platforms, consider using an array.
Arguments
tasks
- An array or object containing functions to run, each function is passed
acallback(err, result)
it must call on completion with an errorerr
(which can
benull
) and an optionalresult
value.callback(err, results)
- An optional callback to run once all the functions
have completed. This function gets a results array (or object) containing all
the result arguments passed to thetask
callbacks.
Example
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parallel(tasks, [callback])
Run the tasks
array of functions in parallel, without waiting until the previous
function has completed. If any of the functions pass an error to its
callback, the main callback
is immediately called with the value of the error.
Once the tasks
have completed, the results are passed to the final callback
as an
array.
Note: parallel
is about kicking-off I/O tasks in parallel, not about parallel execution of code. If your tasks do not use any timers or perform any I/O, they will actually be executed in series. Any synchronous setup sections for each task will happen one after the other. JavaScript remains single-threaded.
It is also possible to use an object instead of an array. Each property will be
run as a function and the results will be passed to the final callback
as an object
instead of an array. This can be a more readable way of handling results fromparallel
.
Arguments
tasks
- An array or object containing functions to run. Each function is passed
acallback(err, result)
which it must call on completion with an errorerr
(which can benull
) and an optionalresult
value.callback(err, results)
- An optional callback to run once all the functions
have completed successfully. This function gets a results array (or object) containing all
the result arguments passed to the task callbacks.
Example
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Related
- parallelLimit(tasks, limit, [callback])
whilst(test, fn, callback)
Repeatedly call fn
, while test
returns true
. Calls callback
when stopped,
or an error occurs.
Arguments
test()
- synchronous truth test to perform before each execution offn
.fn(callback)
- A function which is called each timetest
passes. The function is
passed acallback(err)
, which must be called once it has completed with an
optionalerr
argument.callback(err, [results])
- A callback which is called after the test
function has failed and repeated execution offn
has stopped.callback
will be passed an error and any arguments passed to the finalfn
‘s callback.
Example
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doWhilst(fn, test, callback)
The post-check version of whilst
. To reflect the difference in
the order of operations, the arguments test
and fn
are switched.
doWhilst
is to whilst
as do while
is to while
in plain JavaScript.
until(test, fn, callback)
Repeatedly call fn
until test
returns true
. Calls callback
when stopped,
or an error occurs. callback
will be passed an error and any arguments passed
to the final fn
‘s callback.
The inverse of whilst
.
doUntil(fn, test, callback)
Like doWhilst
, except the test
is inverted. Note the argument ordering differs from until
.
during(test, fn, callback)
Like whilst
, except the test
is an asynchronous function that is passed a callback in the form of function (err, truth)
. If error is passed to test
or fn
, the main callback is immediately called with the value of the error.
Example
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doDuring(fn, test, callback)
The post-check version of during
. To reflect the difference in
the order of operations, the arguments test
and fn
are switched.
Also a version of doWhilst
with asynchronous test
function.
forever(fn, [errback])
Calls the asynchronous function fn
with a callback parameter that allows it to
call itself again, in series, indefinitely.
If an error is passed to the callback then errback
is called with the
error, and execution stops, otherwise it will never be called.
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waterfall(tasks, [callback])
Runs the tasks
array of functions in series, each passing their results to the next in
the array. However, if any of the tasks
pass an error to their own callback, the
next function is not executed, and the main callback
is immediately called with
the error.
Arguments
tasks
- An array of functions to run, each function is passed acallback(err, result1, result2, ...)
it must call on completion. The first
argument is an error (which can benull
) and any further arguments will be
passed as arguments in order to the next task.callback(err, [results])
- An optional callback to run once all the functions
have completed. This will be passed the results of the last task’s callback.
Example
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Or, with named functions:
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Or, if you need to pass any argument to the first function:
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compose(fn1, fn2…)
Creates a function which is a composition of the passed asynchronous
functions. Each function consumes the return value of the function that
follows. Composing functions f()
, g()
, and h()
would produce the result off(g(h()))
, only this version uses callbacks to obtain the return values.
Each function is executed with the this
binding of the composed function.
Arguments
functions...
- the asynchronous functions to compose
Example
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seq(fn1, fn2…)
Version of the compose function that is more natural to read.
Each function consumes the return value of the previous function.
It is the equivalent of compose
with the arguments reversed.
Each function is executed with the this
binding of the composed function.
Arguments
functions...
- the asynchronous functions to compose
Example
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applyEach(fns, args…, callback)
Applies the provided arguments to each function in the array, callingcallback
after all functions have completed. If you only provide the first
argument, then it will return a function which lets you pass in the
arguments as if it were a single function call.
Arguments
fns
- the asynchronous functions to all call with the same argumentsargs...
- any number of separate arguments to pass to the functioncallback
- the final argument should be the callback, called when all
functions have completed processing
Example
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Related
- applyEachSeries(tasks, args…, [callback])
queue(worker, [concurrency])
Creates a queue
object with the specified concurrency
. Tasks added to thequeue
are processed in parallel (up to the concurrency
limit). If allworker
s are in progress, the task is queued until one becomes available.
Once a worker
completes a task
, that task
‘s callback is called.
Arguments
worker(task, callback)
- An asynchronous function for processing a queued
task, which must call itscallback(err)
argument when finished, with an
optionalerror
as an argument. If you want to handle errors from an individual task, pass a callback toq.push()
.concurrency
- Aninteger
for determining how manyworker
functions should be
run in parallel. If omitted, the concurrency defaults to1
. If the concurrency is0
, an error is thrown.
Queue objects
The queue
object returned by this function has the following properties and
methods:
length()
- a function returning the number of items waiting to be processed.started
- a function returning whether or not any items have been pushed and processed by the queuerunning()
- a function returning the number of items currently being processed.workersList()
- a function returning the array of items currently being processed.idle()
- a function returning false if there are items waiting or being processed, or true if not.concurrency
- an integer for determining how manyworker
functions should be
run in parallel. This property can be changed after aqueue
is created to
alter the concurrency on-the-fly.push(task, [callback])
- add a new task to thequeue
. Callscallback
once
theworker
has finished processing the task. Instead of a single task, atasks
array
can be submitted. The respective callback is used for every task in the list.unshift(task, [callback])
- add a new task to the front of thequeue
.saturated
- a callback that is called when thequeue
length hits theconcurrency
limit, and further tasks will be queued.unsaturated
- a callback that is called when thequeue
length is less than theconcurrency
&buffer
limits, and further tasks will not be queued.buffer
A minimum threshold buffer in order to say that thequeue
isunsaturated
.empty
- a callback that is called when the last item from thequeue
is given to aworker
.drain
- a callback that is called when the last item from thequeue
has returned from theworker
.paused
- a boolean for determining whether the queue is in a paused statepause()
- a function that pauses the processing of tasks untilresume()
is called.resume()
- a function that resumes the processing of queued tasks when the queue is paused.kill()
- a function that removes thedrain
callback and empties remaining tasks from the queue forcing it to go idle.
Example
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priorityQueue(worker, concurrency)
The same as queue
only tasks are assigned a priority and completed in ascending priority order. There are two differences between queue
and priorityQueue
objects:
push(task, priority, [callback])
-priority
should be a number. If an array oftasks
is given, all tasks will be assigned the same priority.- The
unshift
method was removed.
cargo(worker, [payload])
Creates a cargo
object with the specified payload. Tasks added to the
cargo will be processed altogether (up to the payload
limit). If theworker
is in progress, the task is queued until it becomes available. Once
the worker
has completed some tasks, each callback of those tasks is called.
Check out these animations for how cargo
and queue
work.
While queue passes only one task to one of a group of workers
at a time, cargo passes an array of tasks to a single worker, repeating
when the worker is finished.
Arguments
worker(tasks, callback)
- An asynchronous function for processing an array of
queued tasks, which must call itscallback(err)
argument when finished, with
an optionalerr
argument.payload
- An optionalinteger
for determining how many tasks should be
processed per round; if omitted, the default is unlimited.
Cargo objects
The cargo
object returned by this function has the following properties and
methods:
length()
- A function returning the number of items waiting to be processed.payload
- Aninteger
for determining how many tasks should be
process per round. This property can be changed after acargo
is created to
alter the payload on-the-fly.push(task, [callback])
- Addstask
to thequeue
. The callback is called
once theworker
has finished processing the task. Instead of a single task, an array oftasks
can be submitted. The respective callback is used for every task in the list.saturated
- A callback that is called when thequeue.length()
hits the concurrency and further tasks will be queued.empty
- A callback that is called when the last item from thequeue
is given to aworker
.drain
- A callback that is called when the last item from thequeue
has returned from theworker
.idle()
,pause()
,resume()
,kill()
- cargo inherits all of the same methods and event callbacks asqueue
Example
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auto(tasks, [concurrency], [callback])
Determines the best order for running the functions in tasks
, based on their requirements. Each function can optionally depend on other functions being completed first, and each function is run as soon as its requirements are satisfied.
If any of the functions pass an error to their callback, the auto
sequence will stop. Further tasks will not execute (so any other functions depending on it will not run), and the main callback
is immediately called with the error.
Functions also receive an object containing the results of functions which have completed so far as the first argument, if they have dependencies. If a task function has no dependencies, it will only be passed a callback.
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Arguments
tasks
- An object. Each of its properties is either a function or an array of requirements, with the function itself the last item in the array. The object’s key of a property serves as the name of the task defined by that property, i.e. can be used when specifying requirements for other tasks. The function receives one or two arguments:- a
results
object, containing the results of the previously executed functions, only passed if the task has any dependencies, - a
callback(err, result)
function, which must be called when finished, passing anerror
(which can benull
) and the result of the function’s execution.
- a
concurrency
- An optionalinteger
for determining the maximum number of tasks that can be run in parallel. By default, as many as possible.callback(err, results)
- An optional callback which is called when all the tasks have been completed. It receives theerr
argument if anytasks
pass an error to their callback. Results are always returned; however, if an error occurs, no furthertasks
will be performed, and the results object will only contain partial results.
Example
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This is a fairly trivial example, but to do this using the basic parallel and series functions would look like this:
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For a complicated series of async
tasks, using the auto
function makes adding new tasks much easier (and the code more readable).
autoInject(tasks, [callback])
A dependency-injected version of the auto
function. Dependent tasks are specified as parameters to the function, after the usual callback parameter, with the parameter names matching the names of the tasks it depends on. This can provide even more readable task graphs which can be easier to maintain.
If a final callback is specified, the task results are similarly injected, specified as named parameters after the initial error parameter.
The autoInject function is purely syntactic sugar and its semantics are otherwise equivalent to auto
.
Arguments
tasks
- An object, each of whose properties is a function of the form
‘func([dependencies…], callback). The object’s key of a property serves as the name of the task defined by that property, i.e. can be used when specifying requirements for other tasks.- The
callback
parameter is acallback(err, result)
which must be called when finished, passing anerror
(which can benull
) and the result of the function’s execution. The remaining parameters name other tasks on which the task is dependent, and the results from those tasks are the arguments of those parameters.
- The
callback(err, [results...])
- An optional callback which is called when all the tasks have been completed. It receives theerr
argument if anytasks
pass an error to their callback. The remaining parameters are task names whose results you are interested in. This callback will only be called when all tasks have finished or an error has occurred, and so do not not specify dependencies in the same way astasks
do. If an error occurs, no furthertasks
will be performed, andresults
will only be valid for those tasks which managed to complete.
Example
The example from auto
can be rewritten as follows:
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If you are using a JS minifier that mangles parameter names, autoInject
will not work with plain functions, since the parameter names will be collapsed to a single letter identifier. To work around this, you can explicitly specify the names of the parameters your task function needs in an array, similar to Angular.js dependency injection.
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This still has an advantage over plain auto
, since the results a task depends on are still spread into arguments.
retry([opts = {times: 5, interval: 0}| 5], task, [callback])
Attempts to get a successful response from task
no more than times
times before
returning an error. If the task is successful, the callback
will be passed the result
of the successful task. If all attempts fail, the callback will be passed the error and
result (if any) of the final attempt.
Arguments
opts
- Can be either an object withtimes
andinterval
or a number.times
- The number of attempts to make before giving up. The default is5
.interval
- The time to wait between retries, in milliseconds. The default is0
.- If
opts
is a number, the number specifies the number of times to retry, with the default interval of0
.
task(callback, results)
- A function which receives two arguments: (1) acallback(err, result)
which must be called when finished, passingerr
(which can benull
) and theresult
of
the function’s execution, and (2) aresults
object, containing the results of
the previously executed functions (if nested inside another control flow).callback(err, results)
- An optional callback which is called when the
task has succeeded, or after the final failed attempt. It receives theerr
andresult
arguments of the last attempt at completing thetask
.
The retry
function can be used as a stand-alone control flow by passing a callback, as shown below:
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It can also be embedded within other control flow functions to retry individual methods
that are not as reliable, like this:
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iterator(tasks)
Creates an iterator function which calls the next function in the tasks
array,
returning a continuation to call the next one after that. It’s also possible to
“peek” at the next iterator with iterator.next()
.
This function is used internally by the async
module, but can be useful when
you want to manually control the flow of functions in series.
Arguments
tasks
- An array of functions to run.
Example
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Utils
apply(function, arguments..)
Creates a continuation function with some arguments already applied.
Useful as a shorthand when combined with other control flow functions. Any arguments
passed to the returned function are added to the arguments originally passed
to apply.
Arguments
function
- The function you want to eventually apply all arguments to.arguments...
- Any number of arguments to automatically apply when the
continuation is called.
Example
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It’s possible to pass any number of additional arguments when calling the
continuation:
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nextTick(callback, [args…]), setImmediate(callback, [args…])
Calls callback
on a later loop around the event loop. In Node.js this just
calls process.nextTick
; in the browser it falls back to setImmediate(callback)
if available, otherwise setTimeout(callback, 0)
, which means other higher priority
events may precede the execution of callback
.
This is used internally for browser-compatibility purposes.
Arguments
callback
- The function to call on a later loop around the event loop.args...
- any number of additional arguments to pass to the callback on the next tick
Example
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times(n, iteratee, [callback])
Calls the iteratee
function n
times, and accumulates results in the same manner
you would use with map
.
Arguments
n
- The number of times to run the function.iteratee
- The function to calln
times.callback
- seemap
Example
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Related
- timesSeries(n, iteratee, [callback])
- timesLimit(n, limit, iteratee, [callback])
race(tasks, [callback])
Runs the tasks
array of functions in parallel, without waiting until the
previous function has completed. Once any the tasks
completed or pass an
error to its callback, the main callback
is immediately called. It’s
equivalent to Promise.race()
.
Arguments
tasks
- An array containing functions to run. Each function is passed
acallback(err, result)
which it must call on completion with an errorerr
(which can benull
) and an optionalresult
value.callback(err, result)
- A callback to run once any of the
functions have completed. This function gets an error or result from the
first function that completed.
Example
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memoize(fn, [hasher])
Caches the results of an async
function. When creating a hash to store function
results against, the callback is omitted from the hash and an optional hash
function can be used.
If no hash function is specified, the first argument is used as a hash key, which may work reasonably if it is a string or a data type that converts to a distinct string. Note that objects and arrays will not behave reasonably. Neither will cases where the other arguments are significant. In such cases, specify your own hash function.
The cache of results is exposed as the memo
property of the function returned
by memoize
.
Arguments
fn
- The function to proxy and cache results from.hasher
- An optional function for generating a custom hash for storing
results. It has all the arguments applied to it apart from the callback, and
must be synchronous.
Example
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unmemoize(fn)
Undoes a memoize
d function, reverting it to the original, unmemoized
form. Handy for testing.
Arguments
fn
- the memoized function
ensureAsync(fn)
Wrap an async function and ensure it calls its callback on a later tick of the event loop. If the function already calls its callback on a next tick, no extra deferral is added. This is useful for preventing stack overflows (RangeError: Maximum call stack size exceeded
) and generally keeping Zalgo contained.
Arguments
fn
- an async function, one that expects a node-style callback as its last argument
Returns a wrapped function with the exact same call signature as the function passed in.
Example
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constant(values…)
Returns a function that when called, calls-back with the values provided. Useful as the first function in a waterfall
, or for plugging values in to auto
.
Example
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asyncify(func)
Alias: wrapSync
Take a sync function and make it async, passing its return value to a callback. This is useful for plugging sync functions into a waterfall, series, or other async functions. Any arguments passed to the generated function will be passed to the wrapped function (except for the final callback argument). Errors thrown will be passed to the callback.
Example
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If the function passed to asyncify
returns a Promise, that promises’s resolved/rejected state will be used to call the callback, rather than simply the synchronous return value. Example:
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This also means you can asyncify ES2016 async
functions.
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log(function, arguments)
Logs the result of an async
function to the console
. Only works in Node.js or
in browsers that support console.log
and console.error
(such as FF and Chrome).
If multiple arguments are returned from the async function, console.log
is
called on each argument in order.
Arguments
function
- The function you want to eventually apply all arguments to.arguments...
- Any number of arguments to apply to the function.
Example
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dir(function, arguments)
Logs the result of an async
function to the console
using console.dir
to
display the properties of the resulting object. Only works in Node.js or
in browsers that support console.dir
and console.error
(such as FF and Chrome).
If multiple arguments are returned from the async function, console.dir
is
called on each argument in order.
Arguments
function
- The function you want to eventually apply all arguments to.arguments...
- Any number of arguments to apply to the function.
Example
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noConflict()
Changes the value of async
back to its original value, returning a reference to theasync
object.
timeout(function, miliseconds)
Sets a time limit on an asynchronous function. If the function does not call its callback within the specified miliseconds, it will be called with a timeout error. The code property for the error object will be 'ETIMEDOUT'
.
Returns a wrapped function that can be used with any of the control flow functions.
Arguments
function
- The asynchronous function you want to set the time limit.miliseconds
- The specified time limit.
Example
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