abacus-batch v1.1.5
abacus-batch
Batching for async function calls.
This module provides a simple way to implement function call batching. Batching is achieved by wrapping a function in logic that records calls in a batch for some time then calls that function once with the accumulated batch, giving it an opportunity to process all the calls efficiently at once. Unbatching takes a batch of calls, applies then individually to a function, then returns a batch of results.
require('abacus-batch') or require('abacus-batch').batchify
The batch function allows us to delegate the processing of a given function after a number of function calls have occurred.
const batch = require('abacus-batch');
const sumArray = (array) =>
array.reduce((accumulator, currentValue) =>
currentValue instanceof Array
? accumulator + sumArray(currentValue)
: accumulator + currentValue
, 0);
const batchedSum = batch((calls, cb) => {
// calls will equal to
// [
// [ 1, 2 ],
// [ 4, 6 ],
// [ 9, 31 ]
// ]
cb(sumArray(calls));
});
batchedSum(1, 2, console.log); batchedSum(4, 6, console.log); batchedSum(9, 31, console.log);
We can control the amount of time that calls are accumulated before our batched function is called via an additional argument to batch.
const batchedSum = batch(() => {}, 1000);
The example above will wait 1 second before calling the lambda.
We can also specify a maximum number of invocations before the batched function is called.
const batchedSum = batch(() => {}, 1000, 10);
The function above will wait for 1 second or 10 invocations before it calls the lambda function.
Finally, it is possible to implement a custom count function.
const batchedSum = batch(() => {}, 1000, 10, (name, args) => args.length);
The above function will wait for 1 second or until the number of arguments of all the accumulated functions is equal to 10
. The name
argument of the last callback is the name of the function.
require('abacus-batch').groupBy
Intended to be used with the batch
function. It allows one to group accumulated calls into buckets and then have each bucket sent to the lambda function.
For example:
const batch = require('abacus-batch');
const groupBy = require('abacus-batch').groupBy;
const sumArray = (array) =>
array.reduce((accumulator, currentValue) =>
currentValue instanceof Array
? accumulator + sumArray(currentValue)
: accumulator + currentValue
, 0);
const batchedGroupingSum = batch(groupBy((calls, cb) => {
// this function will be called twice.
// the first time, calls will equal to
// [
// [1, 2],
// [9, 31]
// ]
// the second time, calls will equal to
// [
// [4, 6]
// ]
cb(sumArray(calls));
}, (args, cb) => {
// we will group by whether the first argument is odd or even
// all we need to do is return an id for each group. in our case, we
// use the remainder of the division as the bucket id.
cb(undefined, args[0] % 2);
}));
batchedGroupingSum(1, 2); batchedGroupingSum(4, 6); batchedGroupingSum(9, 31);
require('abacus-batch').unbatchify
This is the reverse of the batchify function. It allows a collection of calls to be split apart, resulting in individual calls.
const unbatch = require('abacus-batch').unbatchify;
const sum = (a, b, callback) => {
// will be called three times with the following set of arguments
// 1. a = 1; b = 2
// 2. a = 5; b = 11
// 3. a = 8; b = 3
callback(undefined, a + b);
};
const unbatchedSum = unbatch(sum);
unbatchedSum([
[1, 2],
[5, 11],
[8, 3]
], (err, result) => {
// results will equal
// [
// [undefined, 3],
// [undefined, 16],
// [undefined, 11]
// ]
});
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