|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "id": "d2efdd4c", |
| 6 | + "metadata": {}, |
| 7 | + "source": [ |
| 8 | + "# Async iteration\n", |
| 9 | + "\n", |
| 10 | + "In [rustac v0.8.1](https://github.com/stac-utils/rustac-py/releases/tag/v0.8.1) we added the ability to iterate a search asynchronously.\n", |
| 11 | + "Let's compare this new capability with the synchronous version via [pystac-client](https://github.com/stac-utils/pystac-client).\n", |
| 12 | + "\n", |
| 13 | + "The `copernicus-dem` collection at https://stac.eoapi.dev has 26450 items, which makes it a good single collection test case for iterating over a bunch of things." |
| 14 | + ] |
| 15 | + }, |
| 16 | + { |
| 17 | + "cell_type": "code", |
| 18 | + "execution_count": 1, |
| 19 | + "id": "eaf03f73", |
| 20 | + "metadata": {}, |
| 21 | + "outputs": [ |
| 22 | + { |
| 23 | + "name": "stderr", |
| 24 | + "output_type": "stream", |
| 25 | + "text": [ |
| 26 | + "building \"rustac\"\n", |
| 27 | + "rebuilt and loaded package \"rustac\" in 4.783s\n" |
| 28 | + ] |
| 29 | + } |
| 30 | + ], |
| 31 | + "source": [ |
| 32 | + "import time\n", |
| 33 | + "from tqdm.notebook import tqdm\n", |
| 34 | + "\n", |
| 35 | + "import rustac\n", |
| 36 | + "from pystac_client import Client\n", |
| 37 | + "\n", |
| 38 | + "url = \"https://stac.eoapi.dev\"\n", |
| 39 | + "collection = \"copernicus-dem\"\n", |
| 40 | + "total = 26450" |
| 41 | + ] |
| 42 | + }, |
| 43 | + { |
| 44 | + "cell_type": "markdown", |
| 45 | + "id": "3c4ecaf4", |
| 46 | + "metadata": {}, |
| 47 | + "source": [ |
| 48 | + "First, let's try **pystac-client**.\n", |
| 49 | + "In our testing, it takes almost six minutes to iterate over everything, so we're going to limit things to the first one thousand items." |
| 50 | + ] |
| 51 | + }, |
| 52 | + { |
| 53 | + "cell_type": "code", |
| 54 | + "execution_count": 2, |
| 55 | + "id": "fba8e0ca", |
| 56 | + "metadata": {}, |
| 57 | + "outputs": [ |
| 58 | + { |
| 59 | + "data": { |
| 60 | + "application/vnd.jupyter.widget-view+json": { |
| 61 | + "model_id": "db2cb3a4b8894a88a50358b8422c4f1a", |
| 62 | + "version_major": 2, |
| 63 | + "version_minor": 0 |
| 64 | + }, |
| 65 | + "text/plain": [ |
| 66 | + " 0%| | 0/1000 [00:00<?, ?it/s]" |
| 67 | + ] |
| 68 | + }, |
| 69 | + "metadata": {}, |
| 70 | + "output_type": "display_data" |
| 71 | + }, |
| 72 | + { |
| 73 | + "name": "stdout", |
| 74 | + "output_type": "stream", |
| 75 | + "text": [ |
| 76 | + "Got 1000 items in 14.28 seconds\n" |
| 77 | + ] |
| 78 | + } |
| 79 | + ], |
| 80 | + "source": [ |
| 81 | + "client = Client.open(url)\n", |
| 82 | + "items = []\n", |
| 83 | + "progress = tqdm(total=1000)\n", |
| 84 | + "\n", |
| 85 | + "start = time.time()\n", |
| 86 | + "item_search = client.search(collections=[collection])\n", |
| 87 | + "for item in item_search.items():\n", |
| 88 | + " items.append(item)\n", |
| 89 | + " progress.update()\n", |
| 90 | + " if len(items) >= 1000:\n", |
| 91 | + " break\n", |
| 92 | + "print(f\"Got {len(items)} items in {time.time() - start:.2f} seconds\")\n", |
| 93 | + "progress.close()" |
| 94 | + ] |
| 95 | + }, |
| 96 | + { |
| 97 | + "cell_type": "markdown", |
| 98 | + "id": "e63b830f", |
| 99 | + "metadata": {}, |
| 100 | + "source": [ |
| 101 | + "**rustac** does some asynchronous page pre-fetching under the hood, so it might be faster?\n", |
| 102 | + "Let's find out." |
| 103 | + ] |
| 104 | + }, |
| 105 | + { |
| 106 | + "cell_type": "code", |
| 107 | + "execution_count": 3, |
| 108 | + "id": "211b184a", |
| 109 | + "metadata": {}, |
| 110 | + "outputs": [ |
| 111 | + { |
| 112 | + "data": { |
| 113 | + "application/vnd.jupyter.widget-view+json": { |
| 114 | + "model_id": "d3bdd8312b004cd3a2b537e429be1e5e", |
| 115 | + "version_major": 2, |
| 116 | + "version_minor": 0 |
| 117 | + }, |
| 118 | + "text/plain": [ |
| 119 | + " 0%| | 0/1000 [00:00<?, ?it/s]" |
| 120 | + ] |
| 121 | + }, |
| 122 | + "metadata": {}, |
| 123 | + "output_type": "display_data" |
| 124 | + }, |
| 125 | + { |
| 126 | + "name": "stdout", |
| 127 | + "output_type": "stream", |
| 128 | + "text": [ |
| 129 | + "Got 1000 items in 13.67 seconds\n" |
| 130 | + ] |
| 131 | + } |
| 132 | + ], |
| 133 | + "source": [ |
| 134 | + "progress = tqdm(total=1000)\n", |
| 135 | + "items = []\n", |
| 136 | + "\n", |
| 137 | + "start = time.time()\n", |
| 138 | + "search = await rustac.iter_search(url, collections=[collection])\n", |
| 139 | + "async for item in search:\n", |
| 140 | + " items.append(item)\n", |
| 141 | + " progress.update()\n", |
| 142 | + " if len(items) >= 1000:\n", |
| 143 | + " break\n", |
| 144 | + "print(f\"Got {len(items)} items in {time.time() - start:.2f} seconds\")\n", |
| 145 | + "progress.close()" |
| 146 | + ] |
| 147 | + }, |
| 148 | + { |
| 149 | + "cell_type": "markdown", |
| 150 | + "id": "a0f4fae8", |
| 151 | + "metadata": {}, |
| 152 | + "source": [ |
| 153 | + "Okay, that's about the same, which suggests we're mostly being limited by server response time.\n", |
| 154 | + "If we increase the page size, does that make our async iteration faster?" |
| 155 | + ] |
| 156 | + }, |
| 157 | + { |
| 158 | + "cell_type": "code", |
| 159 | + "execution_count": 4, |
| 160 | + "id": "8ca810fc", |
| 161 | + "metadata": {}, |
| 162 | + "outputs": [ |
| 163 | + { |
| 164 | + "data": { |
| 165 | + "application/vnd.jupyter.widget-view+json": { |
| 166 | + "model_id": "2d571afb0b684671b1e3316fbc9716db", |
| 167 | + "version_major": 2, |
| 168 | + "version_minor": 0 |
| 169 | + }, |
| 170 | + "text/plain": [ |
| 171 | + " 0%| | 0/5000 [00:00<?, ?it/s]" |
| 172 | + ] |
| 173 | + }, |
| 174 | + "metadata": {}, |
| 175 | + "output_type": "display_data" |
| 176 | + }, |
| 177 | + { |
| 178 | + "name": "stdout", |
| 179 | + "output_type": "stream", |
| 180 | + "text": [ |
| 181 | + "Got 5000 items in 11.09 seconds\n" |
| 182 | + ] |
| 183 | + } |
| 184 | + ], |
| 185 | + "source": [ |
| 186 | + "client = Client.open(url)\n", |
| 187 | + "items = []\n", |
| 188 | + "progress = tqdm(total=5000)\n", |
| 189 | + "\n", |
| 190 | + "start = time.time()\n", |
| 191 | + "item_search = client.search(collections=[collection], limit=500)\n", |
| 192 | + "for item in item_search.items():\n", |
| 193 | + " items.append(item)\n", |
| 194 | + " progress.update()\n", |
| 195 | + " if len(items) >= 5000:\n", |
| 196 | + " break\n", |
| 197 | + "print(f\"Got {len(items)} items in {time.time() - start:.2f} seconds\")\n", |
| 198 | + "progress.close()" |
| 199 | + ] |
| 200 | + }, |
| 201 | + { |
| 202 | + "cell_type": "code", |
| 203 | + "execution_count": 5, |
| 204 | + "id": "e6a00733", |
| 205 | + "metadata": {}, |
| 206 | + "outputs": [ |
| 207 | + { |
| 208 | + "data": { |
| 209 | + "application/vnd.jupyter.widget-view+json": { |
| 210 | + "model_id": "5c130f3626b64524a62a6daccde79694", |
| 211 | + "version_major": 2, |
| 212 | + "version_minor": 0 |
| 213 | + }, |
| 214 | + "text/plain": [ |
| 215 | + " 0%| | 0/5000 [00:00<?, ?it/s]" |
| 216 | + ] |
| 217 | + }, |
| 218 | + "metadata": {}, |
| 219 | + "output_type": "display_data" |
| 220 | + }, |
| 221 | + { |
| 222 | + "name": "stdout", |
| 223 | + "output_type": "stream", |
| 224 | + "text": [ |
| 225 | + "Got 5000 items in 10.77 seconds\n" |
| 226 | + ] |
| 227 | + } |
| 228 | + ], |
| 229 | + "source": [ |
| 230 | + "progress = tqdm(total=5000)\n", |
| 231 | + "items = []\n", |
| 232 | + "\n", |
| 233 | + "start = time.time()\n", |
| 234 | + "search = await rustac.iter_search(url, collections=[collection], limit=500)\n", |
| 235 | + "async for item in search:\n", |
| 236 | + " items.append(item)\n", |
| 237 | + " progress.update()\n", |
| 238 | + " if len(items) >= 5000:\n", |
| 239 | + " break\n", |
| 240 | + "print(f\"Got {len(items)} items in {time.time() - start:.2f} seconds\")\n", |
| 241 | + "progress.close()" |
| 242 | + ] |
| 243 | + } |
| 244 | + ], |
| 245 | + "metadata": { |
| 246 | + "kernelspec": { |
| 247 | + "display_name": "rustac-py", |
| 248 | + "language": "python", |
| 249 | + "name": "python3" |
| 250 | + }, |
| 251 | + "language_info": { |
| 252 | + "codemirror_mode": { |
| 253 | + "name": "ipython", |
| 254 | + "version": 3 |
| 255 | + }, |
| 256 | + "file_extension": ".py", |
| 257 | + "mimetype": "text/x-python", |
| 258 | + "name": "python", |
| 259 | + "nbconvert_exporter": "python", |
| 260 | + "pygments_lexer": "ipython3", |
| 261 | + "version": "3.13.2" |
| 262 | + } |
| 263 | + }, |
| 264 | + "nbformat": 4, |
| 265 | + "nbformat_minor": 5 |
| 266 | +} |
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