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simon-mo/ray-remote-latency.ipynb

Created April 2, 2019 07:51
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ray-remote-latency.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"!ray stop"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0.7.0.dev2'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import ray\n",
"\n",
"import numpy as np\n",
"import time\n",
"\n",
"import matplotlib.pyplot as plt\n",
"%config InlineBackend.figure_formats = ['svg']\n",
"%matplotlib notebook\n",
"\n",
"import seaborn as sns\n",
"sns.set(style=\"whitegrid\", palette=\"muted\")\n",
"ray.__version__"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"2019-04-02 07:47:59,423\tWARNING worker.py:1397 -- WARNING: Not updating worker name since `setproctitle` is not installed. Install this with `pip install setproctitle` (or ray[debug]) to enable monitoring of worker processes.\n",
"2019-04-02 07:47:59,425\tINFO node.py:423 -- Process STDOUT and STDERR is being redirected to /tmp/ray/session_2019-04-02_07-47-59_26855/logs.\n",
"2019-04-02 07:47:59,554\tINFO services.py:363 -- Waiting for redis server at 127.0.0.1:24360 to respond...\n",
"2019-04-02 07:47:59,666\tINFO services.py:363 -- Waiting for redis server at 127.0.0.1:33096 to respond...\n",
"2019-04-02 07:47:59,668\tINFO services.py:760 -- Starting Redis shard with 6.67 GB max memory.\n",
"2019-04-02 07:47:59,684\tINFO services.py:1383 -- Starting the Plasma object store with 10.01 GB memory using /dev/shm.\n"
]
},
{
"data": {
"text/plain": [
"{'node_ip_address': None,\n",
" 'redis_address': '172.31.46.235:24360',\n",
" 'object_store_address': '/tmp/ray/session_2019-04-02_07-47-59_26855/sockets/plasma_store',\n",
" 'webui_url': None,\n",
" 'raylet_socket_name': '/tmp/ray/session_2019-04-02_07-47-59_26855/sockets/raylet'}"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ray.init()"
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},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"@ray.remote\n",
"def dummy():\n",
" return None"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"@ray.remote\n",
"def send(N):\n",
" send_durations = []\n",
" \n",
" oids = []\n",
" for _ in range(N):\n",
" p1 = time.perf_counter()\n",
" oids.append(dummy.remote())\n",
" p2 = time.perf_counter()\n",
" send_durations.append(p2-p1)\n",
" ray.get(oids)\n",
" \n",
" return send_durations"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"# warmup\n",
"for _ in range(30):\n",
" ray.get(dummy.remote())"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"N = 2000\n",
"num_senders = 2"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"single_actor_durations = ray.get(send.remote(N))\n",
"multiple_actors_durations = ray.get([send.remote(N) for _ in range(num_senders)])"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0.98, 'task submission time')"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
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],
"text/plain": [
"<Figure size 864x360 with 2 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"fig, (ax1, ax2) = plt.subplots(1,2,sharey=True,figsize=(12,5))\n",
"\n",
"# plt.ylim([0,10])\n",
"ax1.set_title(\"1 actor\")\n",
"ax1.set_xlabel(\"Query number\")\n",
"ax1.set_ylabel(\"ms\")\n",
"ax1.plot(np.array(single_actor_durations)*1000)\n",
"\n",
"ax2.set_title(\"{} actors\".format(num_senders))\n",
"ax2.set_xlabel(\"Query number\")\n",
"ax2.set_ylabel(\"ms\")\n",
"for dur in multiple_actors_durations:\n",
" ax2.plot(np.array(dur)*1000, alpha=0.5)\n",
"\n",
"fig.suptitle(\"task submission time\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
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"name": "ipython",
"version": 3
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"file_extension": ".py",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
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"nbformat": 4,
"nbformat_minor": 2
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