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guenter/Cluster Stats.ipynb

Created April 26, 2018 17:57
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Cluster Stats.ipynb
{
"cells": [
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import itertools\nimport json\nimport pandas as pd\nfrom beakerx import *\n\nfiles = [\"212-containers.json\", \"214-containers.json\"]\n\nraw_data = list(itertools.chain.from_iterable([json.loads(open(f).read()) for f in files]))\ndata = pd.io.json.json_normalize(raw_data)\n\ncpus_min_throttled_ratio = 0.01\nmem_ideal_ratio = 0.7\nmem_min_ratio = 0.7\n\n\n# The ratio of periods where any throttling occured\ndata[\"cpus_throttled_ratio\"] = data[\"statistics.cpus_nr_throttled\"] / data[\"statistics.cpus_nr_periods\"]\n\ndata[\"mem_usage_ratio\"] = data[\"statistics.mem_rss_bytes\"] / data[\"statistics.mem_limit_bytes\"]\n\ndata[\"cpus_time\"] = data[\"statistics.cpus_user_time_secs\"] + data[\"statistics.cpus_system_time_secs\"]\n\ndata[\"mem_ideal_limit\"] = data[\"statistics.mem_rss_bytes\"] / mem_ideal_ratio\ndata[\"mem_allocation_saved\"] = data[\"statistics.mem_limit_bytes\"] - data[\"mem_ideal_limit\"]",
"execution_count": 71,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Containers with high CPU throttling"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "table = TableDisplay(data[data[\"cpus_throttled_ratio\"] >= cpus_min_throttled_ratio])\ntable.addCellHighlighter(TableDisplayCellHighlighter.getHeatmapHighlighter(\"cpus_throttled_ratio\", TableDisplayCellHighlighter.SINGLE_COLUMN))\ntable.addCellHighlighter(TableDisplayCellHighlighter.getHeatmapHighlighter(\"statistics.cpus_throttled_time_secs\", TableDisplayCellHighlighter.SINGLE_COLUMN))\ntable.setColumnOrder([\"executor_id\",\n \"cpus_throttled_ratio\",\n \"statistics.cpus_limit\",\n \"statistics.cpus_throttled_time_secs\",\n \"cpus_time\"\n ])\ntable",
"execution_count": 72,
"outputs": [
{
"output_type": "display_data",
"data": {
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "ae70075b22444437beb99851a69a7efa"
}
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Containers with high memory usage"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "table = TableDisplay(data[data[\"mem_usage_ratio\"] >= mem_min_ratio])\ntable.addCellHighlighter(TableDisplayCellHighlighter.getHeatmapHighlighter(\"mem_usage_ratio\", TableDisplayCellHighlighter.SINGLE_COLUMN))\ntable.addCellHighlighter(TableDisplayCellHighlighter.getHeatmapHighlighter(\"statistics.mem_critical_pressure_counter\", TableDisplayCellHighlighter.SINGLE_COLUMN))\ntable.setColumnOrder([\"executor_id\",\n \"mem_usage_ratio\",\n \"statistics.mem_critical_pressure_counter\",\n \"statistics.mem_medium_pressure_counter\",\n \"statistics.mem_low_pressure_counter\"\n ])\ntable",
"execution_count": 73,
"outputs": [
{
"output_type": "display_data",
"data": {
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "e4059bb581dc4f7fae7863b606f1c77f"
}
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Containers with low memory usage"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "data_low_memory_usage = data[data[\"mem_usage_ratio\"] < mem_max_ratio]\nmemory_allocation_saved = data_low_memory_usage[\"mem_allocation_saved\"].sum() / pow(1024, 3)\nprint(\"Total memory utilization slack: {}GB\".format(memory_allocation_saved))\n\ntable = TableDisplay(data_low_memory_usage)\ntable.addCellHighlighter(TableDisplayCellHighlighter.getHeatmapHighlighter(\"mem_usage_ratio\", TableDisplayCellHighlighter.SINGLE_COLUMN))\ntable.setColumnOrder([\"executor_id\",\n \"mem_usage_ratio\",\n \"mem_ideal_limit\",\n \"mem_allocation_saved\"\n ])\ntable",
"execution_count": 74,
"outputs": [
{
"output_type": "stream",
"text": "Total memory utilization slack: 45.53810773577009GB\n",
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"application/vnd.jupyter.widget-view+json": {
"version_major": 2,
"version_minor": 0,
"model_id": "7b09307d10544f7ca43d5e52e03ff80a"
}
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "",
"execution_count": null,
"outputs": []
}
],
"metadata": {
"kernelspec": {
"name": "python3",
"display_name": "Python 3",
"language": "python"
},
"language_info": {
"name": "python",
"version": "3.6.5",
"mimetype": "text/x-python",
"codemirror_mode": {
"name": "ipython",
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"pygments_lexer": "ipython3",
"nbconvert_exporter": "python",
"file_extension": ".py"
},
"widgets": {
"application/vnd.jupyter.widget-state+json": {
"version_major": 2,
"version_minor": 0,
"state": {
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"model_name": "LayoutModel",
"model_module": "@jupyter-widgets/base",
"model_module_version": "*",
"state": {
"_model_module_version": "*",
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}
},
"e2f9b51c0fd443dcb4155c8bd34779e5": {
"model_name": "TableDisplayModel",
"model_module": "beakerx",
"model_module_version": "*",
"state": {
"layout": "IPY_MODEL_496856f6be47427da530a31c06dbafde",
"model": {
"alignmentForColumn": {},
"alignmentForType": {},
"cellHighlighters": [],
"columnNames": [
"container_id",
"executor_id",
"executor_name",
"framework_id",
"source",
"statistics.cpus_limit",
"statistics.cpus_nr_periods",
"statistics.cpus_nr_throttled",
"statistics.cpus_system_time_secs",
"statistics.cpus_throttled_time_secs",
"statistics.cpus_user_time_secs",
"statistics.disk_limit_bytes",
"statistics.disk_statistics",
"statistics.disk_used_bytes",
"statistics.mem_anon_bytes",
"statistics.mem_cache_bytes",
"statistics.mem_critical_pressure_counter",
"statistics.mem_file_bytes",
"statistics.mem_limit_bytes",
"statistics.mem_low_pressure_counter",
"statistics.mem_mapped_file_bytes",
"statistics.mem_medium_pressure_counter",
"statistics.mem_rss_bytes",
"statistics.mem_swap_bytes",
"statistics.mem_total_bytes",
"statistics.mem_unevictable_bytes",
"statistics.timestamp",
"status.container_id.value",
"status.executor_pid",
"status.network_infos"
],
"columnOrder": [],
"columnsFrozen": {},
"columnsFrozenRight": {},
"columnsVisible": {},
"contextMenuItems": [],
"contextMenuTags": {},
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"hasDoubleClickAction": false,
"headersVertical": false,
"rendererForColumn": {},
"rendererForType": {},
"stringFormatForColumn": {},
"stringFormatForType": {},
"subtype": "ListOfMaps",
"tooManyRows": false,
"tooltips": [],
"type": "TableDisplay",
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