Awesome

intersector

Superfast intersection supporting primitives and objects. In the age of big data, you need it.

Breakthrough iterable performance for array intersections. The time to first available element is 20-40% faster than other approaches.

Remove bottlenecks from your data processing pipeline by using intersector.iterable.

For a static test, full intersection using intersector is typically 10% slower than the fastest implementation for primitive values (the original lovasoa algorithm) and 10-20% faster than the current lovasoa algorithm in fast_array_intersect. It is 5-10% faster that the next fastest, fast_array_intersect for objects or mixed values.

And, in a real world simulation using multiple random sized results, full intersection using intersector and fast-array-intersect are always fastest and typically within each other's margin or error.

However, by computing intersection elements on demand, intersector.iterable is always the fastest for static or dynamic tests by 20-40%.

Just 630 bytes of ES5 module minified code with no dependencies. 399 bytes gzipped. 150 bytes larger than fast_array_intersect.

If you want similar performance for union, Cartesian product, or memoizing also see:

• https://github.com/anywhichway/unionizor

• https://github.com/anywhichway/cxproduct

• https://github.com/anywhichway/nano-memoize

  For a complete high performance solution to Cartesian product and set operations for Arrays and Sets with a standardized API, plus the addition of the standard map/reduce/find operations to Set see:

• https://github.com/anywhichway/array-set-ops

Installing

npm install intersector

If you plan to run intersectors unit tests, then install Parcel globaly:

npm install -g parcel-bundler

Using

intersector(objectsMixedOrKey) is a function that returns another function configured to do array intersections. It takes one optional argument objectsMixedOrKey. If no value is provided the intersection handles all types across all arrays and will run much faster. If typeof(objectsMixedOrKey)==="string" it is assumed to be a unique key name and all arrays should contain objects with this key name.

The returned intersection function can take any number of arguments.

In NodeJS:

const intersector = require("intersector").default;

or

import intersector from "intersector"; 

Primitive and Object Intersection

var primitiveIntersect = intersector();
console.log(primitiveIntersect([1,2,3],[3,2])); /// immediately resolves full intersection  [3,2]
for(const item of primitiveIntersect.iterable([1,2,3],[3,2])) {
    console.log(item); // logs 2 and then 3, 20%+ faster for firts element access
}

var objectIntersect = intersector(true);
var o1 = {o:1},
	o2 = {o:2},
	o3 = {o:3};
console.log(objectIntersect([o1,o2,o3],[o3,o2])); // immediately resolves full intersection [o2,o3];
for(const item of objectIntersect.iterable([o1,o2,o3],[o3,o2])) {
    console.log(item); // logs {o:2} and then {o:3}, 20%+ faster for firts element access
}

Keyed Object Intersection

var objectIntersect = intersector("uniqueId");
var o1 = {uniqueId:1},
	o2 = {uniqueId:2},
	o3 = {uniqueId:3};
console.log(objectIntersect([o1,o2,o3],[o3,o2])); // // immediately resolves full intersection [o2,o3];
for(const item of objectIntersect.iterable([o1,o2,o3],[o3,o2])) {
    console.log(item); // logs {o:2} and then {o:3}, 20%+ faster for firts element access
}

Static Test

Below are node.js v19.6.0 benchmarks for v2.5.0 on a 4 core i5 2.86gz Windows 64bit environment intersecting a 100,000 element array with a 50,000 element array having a 50,000 element result. (Note, this is a lighter weight test environment than for v1.x.x, so speeds look slower, but they are actually faster.)

To run the test in the test/benchmark directory:

npm run benchmark

lodashPrimitive x 38.39 ops/sec ±4.92% (49 runs sampled) 50000
benviePrimitive x 21.04 ops/sec ±31.17% (40 runs sampled) 50000
lovasoaPrimitive x 51.89 ops/sec ±23.77% (45 runs sampled) 50000
fastArrayIntersect x 51.94 ops/sec ±9.45% (54 runs sampled) 50000
intersectorPrimitive x 67.76 ops/sec ±2.02% (68 runs sampled) 50000
intersector iterable time to first x 130 ops/sec ±2.15% (72 runs sampled) 50000
intersector iterable x 50.15 ops/sec ±2.67% (64 runs sampled) 50000

lodashObject x 36.48 ops/sec ±2.55% (51 runs sampled) 50000
benvieObject x 26.69 ops/sec ±16.85% (47 runs sampled) 50000
fastArrayIntersectObject x 43.25 ops/sec ±11.46% (46 runs sampled) 50000
intersectorObject x 54.46 ops/sec ±5.77% (57 runs sampled) 50000

fastArrayIntersectKeyedObject x 44.81 ops/sec ±2.24% (58 runs sampled)
intersectorKeyedObject x 61.49 ops/sec ±1.85% (61 runs sampled)

Real World Simulation

This test intersects 5 arrays of random length between 0 and 100,000 containing random numbers between 0 and 100,000.

To run this test in the test/benchmark directory:

npm run simulation

The program will run in a loop until you abort it with ctrl-c. A GC is forced between each test. The results are printed to the console.

Below is a sample run.

lodashPrimitive x 1.54 ops/sec ±3.73% (8 runs sampled) 15916
benviePrimitive x 32.69 ops/sec ±2.25% (56 runs sampled) 15916
lovasoaPrimitive x 29.90 ops/sec ±1.69% (52 runs sampled) 15916
fastArrayIntersect x 62.15 ops/sec ±0.76% (63 runs sampled) 15916
intersectorPrimitive x 61.83 ops/sec ±1.12% (63 runs sampled) 15916
intersector iterable time to first x 86.49 ops/sec ±0.92% (71 runs sampled) 15916
intersector iterable x 52.13 ops/sec ±3.36% (63 runs sampled) 15916
Fastest is intersector iterable time to first
lodashPrimitive x 0.92 ops/sec ±19.65% (7 runs sampled) 1488
benviePrimitive x 23.10 ops/sec ±26.45% (42 runs sampled) 1488
lovasoaPrimitive x 49.60 ops/sec ±5.61% (51 runs sampled) 1488
fastArrayIntersect x 90.32 ops/sec ±2.40% (72 runs sampled) 1488
intersectorPrimitive x 90.47 ops/sec ±0.73% (74 runs sampled) 1488
intersector iterable time to first x 132 ops/sec ±0.59% (80 runs sampled) 1488
intersector iterable x 87.21 ops/sec ±0.79% (72 runs sampled) 1488
Fastest is intersector iterable time to first
lodashPrimitive x 1.65 ops/sec ±18.26% (9 runs sampled) 13948
benviePrimitive x 33.99 ops/sec ±2.86% (58 runs sampled) 13948
lovasoaPrimitive x 36.96 ops/sec ±1.69% (62 runs sampled) 13948
fastArrayIntersect x 82.80 ops/sec ±0.94% (69 runs sampled) 13948
intersectorPrimitive x 81.37 ops/sec ±4.42% (68 runs sampled) 13948
intersector iterable time to first x 114 ops/sec ±3.10% (71 runs sampled) 13948
intersector iterable x 71.56 ops/sec ±1.39% (71 runs sampled) 13948
Fastest is intersector iterable time to first
lodashPrimitive x 0.89 ops/sec ±1.59% (7 runs sampled) 25175
benviePrimitive x 27.81 ops/sec ±1.83% (48 runs sampled) 25175
lovasoaPrimitive x 22.27 ops/sec ±1.94% (40 runs sampled) 25175
fastArrayIntersect x 50.26 ops/sec ±1.26% (64 runs sampled) 25175
intersectorPrimitive x 52.86 ops/sec ±1.18% (66 runs sampled) 25175
intersector iterable time to first x 76.63 ops/sec ±1.26% (64 runs sampled) 25175
intersector iterable x 46.70 ops/sec ±1.05% (59 runs sampled) 25175
Fastest is intersector iterable time to first

Unit Tests

√ primitive
√ object with primitives
√ object with primitives none
√ objects
√ objects none
√ keyed objects
√ keyed objects none

8 passing (28ms)

----------|---------|----------|---------|---------|-------------------

FAQs

Why not a generator function instead of a custom iterator?

• I have found them to be slower.

Credits

Portions of code are taken from an old version of https://github.com/lovasoa/fast_array_intersect and modified to support objects through the use of optimized modern Javascript constructs.

Updates (reverse chronological order)

2023-02-22 v2.5.1 - Updated documentation.

2023-02-17 v2.5.0 - Just over 100 bytes larger, but slightly faster for full intersection. Plus, intersection as an iterable was introduced with a blazing 20% plus performance benefit over full intersection.

2023-02-16 v2.4.1 - Document formatting.

2023-02-16 v2.4.0 - Reworked internals to be faster, partially based on lovasoa algorithm.

2023-02-15 v2.3.1 - Updated docs.

2023-02-15 v2.3.0 - Fixed index issue that could result in occasional extra items in intersection.

2023-02-15 v2.2.1 - Updated docs.

2023-02-13 v2.2.0 - Optimized further for size and speed. Reduced size by 50%. Less than 10% speed improvement.

2023-01-24 v2.1.2 - Updated copyright years

2023-01-24 v2.1.1 - Removed redundant code. Adjusted build to create module as main entry. Optimized keyedObject intersection. Converted tests and benchmarks to use module format.

2023-01-23 v2.1.0 - Reworked internals for more speed.

2023-01-23 v2.0.1 - Added doc for keyed object intersection. Added doc for module usage.

2023-01-23 v2.0.0 - Ensure no duplicates in returned value by using Set internally. Moved to module format. Updated dev dependencies to remove some security risks.

2020-11-06 v1.1.0 - Addressed a major bug where intersector was returning incorrect results when provided 3 or more arguments. As a result, inetersector is slightly slower but still the fastest across primitives, keyed objects, and full objects. Added more unit tests and a more realistic benchmark test to avoid this kind of thing in the future!

2020-09-24 v1.0.17 - Added Downrunner documentation support. Improved browser export.

2020-07-15 v1.0.16 - The cat stepped on the keyboard right before a commit and inserted some random stuff (really! ;-) ;-(). Fixed.

2020-07-15 v1.0.15 - Split into three internal functions. Slight speed and size improvement. Speed more consistent across test runs. Easier to maintain. Thanks @titoBouzout!

2020-07-14 v1.0.14 - Documentation updates.

2020-07-13 v1.0.13 - Optimized further for size and speed.

2017-05-29 v1.0.12 - Fixed bug with keyed objects. If a key was undefined on an object, the code would include it.

2017-05-21 v1.0.10 - Minor optimization, moved sort function to be predefined instead of within lexical scope of sort call.

2017-05-21 v1.0.9 - Reverted to var, it is slightly faster. Reduced code size by 50%. Improved performance for objects.

2017-01-15 v1.0.8 - Replaced var with let. Added Codacy quality assessment.

2016-12-29 v1.0.7 - Added option to use unique key which makes object performance better.

2016-12-27 v1.0.6 - Reverted .hasOwnProperty which slowed things down.

2016-12-27 v1.0.5 - Updated benchmark.

2016-12-27 v1.0.4 - Corrected dev package dependencies. Modified code to use .hasOwnProperty.

2016-12-24 v1.0.3 - Exposed a jsbenchmarks.com benchmark specification. Updated documentation.

2016-12-24 v1.0.2 - Corrected git repository reference in package.json.

2016-12-23 v1.0.1 - Added lodash intersection to benchmark.

2016-12-21 v1.0.0 - Initial public release.

License

MIT - see LICENSE file