arrow

ARROW-12303: [JS] Use iterator instead of yield

Thanks to @ankoh for the suggestion to use iterators and @trxcllnt for suggesting to remove recursions in the iterators.

Running `yarn build -t es2015 -m cjs && node perf/index.js`

Master

```
Running apache-arrow performance tests...

Parse "tracks":
Table.from
 x 4,386 ops/sec ±17.33% (61 runs sampled)
   avg: 0.23ms
   1.38% of a frame @ 60FPS

Parse "tracks":
readBatches
 x 7,813 ops/sec ±1.48% (87 runs sampled)
   avg: 0.13ms
   0.78% of a frame @ 60FPS

Get "tracks" values by index:
name: 'lat', length: 1000000, type: Float32
 x 38.18 ops/sec ±0.79% (57 runs sampled)
   avg: 26.19ms
   157.14% of a frame @ 60FPS

Get "tracks" values by index:
name: 'lng', length: 1000000, type: Float32
 x 36.92 ops/sec ±2.63% (48 runs sampled)
   avg: 27.09ms
   162.54% of a frame @ 60FPS

Get "tracks" values by index:
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.25 ops/sec ±17.42% (5 runs sampled)
   avg: 4004.23ms
   24025.38% of a frame @ 60FPS

Get "tracks" values by index:
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.20 ops/sec ±20.92% (5 runs sampled)
   avg: 4902.57ms
   29415.42% of a frame @ 60FPS

Iterate "tracks" vectors:
name: 'lat', length: 1000000, type: Float32
 x 21.37 ops/sec ±3.48% (39 runs sampled)
   avg: 46.79ms
   280.74% of a frame @ 60FPS

Iterate "tracks" vectors:
name: 'lng', length: 1000000, type: Float32
 x 22.65 ops/sec ±0.86% (40 runs sampled)
   avg: 44.16ms
   264.96% of a frame @ 60FPS

Iterate "tracks" vectors:
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.28 ops/sec ±4.71% (5 runs sampled)
   avg: 3587.66ms
   21525.96% of a frame @ 60FPS

Iterate "tracks" vectors:
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.27 ops/sec ±3.62% (5 runs sampled)
   avg: 3646.73ms
   21880.38% of a frame @ 60FPS

Slice toArray "tracks" vectors:
name: 'lat', length: 1000000, type: Float32
 x 561 ops/sec ±3.52% (76 runs sampled)
   avg: 1.78ms
   10.68% of a frame @ 60FPS

Slice toArray "tracks" vectors:
name: 'lng', length: 1000000, type: Float32
 x 567 ops/sec ±2.70% (46 runs sampled)
   avg: 1.76ms
   10.56% of a frame @ 60FPS

Slice toArray "tracks" vectors:
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.28 ops/sec ±7.41% (5 runs sampled)
   avg: 3631.37ms
   21788.22% of a frame @ 60FPS

Slice toArray "tracks" vectors:
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.23 ops/sec ±7.36% (5 runs sampled)
   avg: 4296.18ms
   25777.08% of a frame @ 60FPS

Slice "tracks" vectors:
name: 'lat', length: 1000000, type: Float32
 x 1,996,897 ops/sec ±0.57% (92 runs sampled)
   avg: 0ms
   0% of a frame @ 60FPS

Slice "tracks" vectors:
name: 'lng', length: 1000000, type: Float32
 x 2,114,550 ops/sec ±1.11% (83 runs sampled)
   avg: 0ms
   0% of a frame @ 60FPS

Slice "tracks" vectors:
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 2,354,063 ops/sec ±0.99% (83 runs sampled)
   avg: 0ms
   0% of a frame @ 60FPS

Slice "tracks" vectors:
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 2,230,019 ops/sec ±1.67% (84 runs sampled)
   avg: 0ms
   0% of a frame @ 60FPS

Table Iterate "tracks":
length: 1000000
 x 11.14 ops/sec ±2.99% (32 runs sampled)
   avg: 89.73ms
   538.38% of a frame @ 60FPS

DataFrame Count By "tracks":
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 437 ops/sec ±0.98% (87 runs sampled)
   avg: 2.29ms
   13.74% of a frame @ 60FPS

DataFrame Count By "tracks":
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 436 ops/sec ±0.92% (84 runs sampled)
   avg: 2.29ms
   13.74% of a frame @ 60FPS

DataFrame Filter-Scan Count "tracks":
name: 'lat', length: 1000000, type: Float32, test: gt, value: 0
 x 63.33 ops/sec ±1.33% (63 runs sampled)
   avg: 15.79ms
   94.74% of a frame @ 60FPS

DataFrame Filter-Scan Count "tracks":
name: 'lng', length: 1000000, type: Float32, test: gt, value: 0
 x 64.66 ops/sec ±1.33% (64 runs sampled)
   avg: 15.47ms
   92.82% of a frame @ 60FPS

DataFrame Filter-Scan Count "tracks":
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>, test: eq, value: Seattle
 x 76.14 ops/sec ±1.09% (63 runs sampled)
   avg: 13.13ms
   78.78% of a frame @ 60FPS

DataFrame Direct Count "tracks":
name: 'lat', length: 1000000, type: Float32, test: gt, value: 0
 x 157 ops/sec ±1.26% (77 runs sampled)
   avg: 6.37ms
   38.22% of a frame @ 60FPS

DataFrame Direct Count "tracks":
name: 'lng', length: 1000000, type: Float32, test: gt, value: 0
 x 148 ops/sec ±1.52% (73 runs sampled)
   avg: 6.76ms
   40.56% of a frame @ 60FPS

DataFrame Direct Count "tracks":
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>, test: eq, value: Seattle
 x 0.28 ops/sec ±17.18% (5 runs sampled)
   avg: 3543.03ms
   21258.18% of a frame @ 60FPS

```

This branch

```
Running apache-arrow performance tests...

Parse "tracks":
Table.from
 x 8,357 ops/sec ±7.74% (84 runs sampled)
   avg: 0.12ms
   0.72% of a frame @ 60FPS

Parse "tracks":
readBatches
 x 8,842 ops/sec ±1.79% (87 runs sampled)
   avg: 0.11ms
   0.66% of a frame @ 60FPS

Get "tracks" values by index:
name: 'lat', length: 1000000, type: Float32
 x 38.98 ops/sec ±1.39% (50 runs sampled)
   avg: 25.66ms
   153.96% of a frame @ 60FPS

Get "tracks" values by index:
name: 'lng', length: 1000000, type: Float32
 x 39.00 ops/sec ±1.88% (50 runs sampled)
   avg: 25.64ms
   153.84% of a frame @ 60FPS

Get "tracks" values by index:
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.29 ops/sec ±3.27% (5 runs sampled)
   avg: 3495.78ms
   20974.68% of a frame @ 60FPS

Get "tracks" values by index:
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.22 ops/sec ±4.01% (5 runs sampled)
   avg: 4592.66ms
   27555.96% of a frame @ 60FPS

Iterate "tracks" vectors:
name: 'lat', length: 1000000, type: Float32
 x 57.56 ops/sec ±1.73% (57 runs sampled)
   avg: 17.37ms
   104.22% of a frame @ 60FPS

Iterate "tracks" vectors:
name: 'lng', length: 1000000, type: Float32
 x 58.53 ops/sec ±1.04% (57 runs sampled)
   avg: 17.08ms
   102.48% of a frame @ 60FPS

Iterate "tracks" vectors:
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.28 ops/sec ±2.04% (5 runs sampled)
   avg: 3618.14ms
   21708.84% of a frame @ 60FPS

Iterate "tracks" vectors:
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.27 ops/sec ±2.79% (5 runs sampled)
   avg: 3662.97ms
   21977.82% of a frame @ 60FPS

Slice toArray "tracks" vectors:
name: 'lat', length: 1000000, type: Float32
 x 615 ops/sec ±3.79% (65 runs sampled)
   avg: 1.63ms
   9.78% of a frame @ 60FPS

Slice toArray "tracks" vectors:
name: 'lng', length: 1000000, type: Float32
 x 627 ops/sec ±2.56% (48 runs sampled)
   avg: 1.59ms
   9.54% of a frame @ 60FPS

Slice toArray "tracks" vectors:
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.26 ops/sec ±2.74% (5 runs sampled)
   avg: 3790.33ms
   22741.98% of a frame @ 60FPS

Slice toArray "tracks" vectors:
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 0.26 ops/sec ±1.50% (5 runs sampled)
   avg: 3776.96ms
   22661.76% of a frame @ 60FPS

Slice "tracks" vectors:
name: 'lat', length: 1000000, type: Float32
 x 2,212,355 ops/sec ±1.29% (87 runs sampled)
   avg: 0ms
   0% of a frame @ 60FPS

Slice "tracks" vectors:
name: 'lng', length: 1000000, type: Float32
 x 2,215,643 ops/sec ±0.94% (84 runs sampled)
   avg: 0ms
   0% of a frame @ 60FPS

Slice "tracks" vectors:
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 2,445,650 ops/sec ±1.21% (86 runs sampled)
   avg: 0ms
   0% of a frame @ 60FPS

Slice "tracks" vectors:
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 2,432,760 ops/sec ±0.92% (88 runs sampled)
   avg: 0ms
   0% of a frame @ 60FPS

Table Iterate "tracks":
length: 1000000
 x 25.91 ops/sec ±1.61% (45 runs sampled)
   avg: 38.59ms
   231.54% of a frame @ 60FPS

DataFrame Count By "tracks":
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>
 x 456 ops/sec ±1.12% (83 runs sampled)
   avg: 2.19ms
   13.14% of a frame @ 60FPS

DataFrame Count By "tracks":
name: 'destination', length: 1000000, type: Dictionary<Int8, Utf8>
 x 459 ops/sec ±0.77% (85 runs sampled)
   avg: 2.18ms
   13.08% of a frame @ 60FPS

DataFrame Filter-Scan Count "tracks":
name: 'lat', length: 1000000, type: Float32, test: gt, value: 0
 x 61.19 ops/sec ±2.16% (63 runs sampled)
   avg: 16.34ms
   98.04% of a frame @ 60FPS

DataFrame Filter-Scan Count "tracks":
name: 'lng', length: 1000000, type: Float32, test: gt, value: 0
 x 62.97 ops/sec ±1.29% (63 runs sampled)
   avg: 15.88ms
   95.28% of a frame @ 60FPS

DataFrame Filter-Scan Count "tracks":
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>, test: eq, value: Seattle
 x 72.84 ops/sec ±1.08% (70 runs sampled)
   avg: 13.73ms
   82.38% of a frame @ 60FPS

DataFrame Direct Count "tracks":
name: 'lat', length: 1000000, type: Float32, test: gt, value: 0
 x 164 ops/sec ±1.05% (79 runs sampled)
   avg: 6.09ms
   36.54% of a frame @ 60FPS

DataFrame Direct Count "tracks":
name: 'lng', length: 1000000, type: Float32, test: gt, value: 0
 x 166 ops/sec ±1.27% (80 runs sampled)
   avg: 6.02ms
   36.12% of a frame @ 60FPS

DataFrame Direct Count "tracks":
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>, test: eq, value: Seattle
 x 0.25 ops/sec ±1.56% (5 runs sampled)
   avg: 3947.73ms
   23686.38% of a frame @ 60FPS

DataFrame Filter-Iterate "tracks":
name: 'lat', length: 1000000, type: Float32, test: gt, value: 0
 x 32.07 ops/sec ±1.53% (53 runs sampled)
   avg: 31.18ms
   187.08% of a frame @ 60FPS

DataFrame Filter-Iterate "tracks":
name: 'lng', length: 1000000, type: Float32, test: gt, value: 0
 x 31.75 ops/sec ±0.90% (53 runs sampled)
   avg: 31.5ms
   189% of a frame @ 60FPS

DataFrame Filter-Iterate "tracks":
name: 'origin', length: 1000000, type: Dictionary<Int8, Utf8>, test: eq, value: Seattle
 x 50.33 ops/sec ±0.95% (61 runs sampled)
   avg: 19.87ms
   119.22% of a frame @ 60FPS

```

Closes #9962 from domoritz/iter

Authored-by: Dominik Moritz <domoritz@gmail.com>
Signed-off-by: Neal Richardson <neal.p.richardson@gmail.com>