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aaronspring/prefect_to_netcdf.ipynb

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parallelize `xr_bitround` with `prefect`
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prefect_to_netcdf.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "4b6bc507-8476-4cb4-aa75-caf14d79b7be",
"metadata": {},
"source": [
"# parallelize `xr_bitround` and `to_compressed_netcdf` with `prefect`"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "3d4a2a22-6cef-472a-b27e-72999c8e43f9",
"metadata": {},
"outputs": [],
"source": [
"import xarray as xr\n",
"\n",
"# below can be imported from bitinformation_pipeline\n",
"from dask import is_dask_collection\n",
"from numcodecs.bitround import BitRound\n",
"\n",
"def _np_bitround(data, keepbits):\n",
" \"\"\"Bitround for Arrays.\"\"\"\n",
" codec = BitRound(keepbits=keepbits)\n",
" data = data.copy() # otherwise overwrites the input\n",
" encoded = codec.encode(data)\n",
" return codec.decode(encoded)\n",
"\n",
"\n",
"def xr_bitround(da, keepbits, map_blocks=False):\n",
" \"\"\"Apply bitrounding based on keepbits from bp.get_keepbits for xarray.Dataset or xr.DataArray wrapping numcodecs.bitround\n",
"\n",
" Inputs\n",
" ------\n",
" da : xr.DataArray or xr.Dataset\n",
" input data to bitround\n",
" keepbits : int or dict of {str: int}\n",
" how many bits to keep as int\n",
" map_blocks : bool\n",
" if True and da is chunked, use xr.map_blocks, else use xr.apply_ufunc. Defaults to False.\n",
"\n",
" Returns\n",
" -------\n",
" da_bitrounded : xr.DataArray or xr.Dataset\n",
"\n",
" Example\n",
" -------\n",
" >>> ds = xr.tutorial.load_dataset(\"air_temperature\")\n",
" >>> info_per_bit = bp.get_bitinformation(ds, dim=\"lon\")\n",
" >>> keepbits = bp.get_keepbits(info_per_bit, 0.99)\n",
" >>> ds_bitrounded = bp.xr_bitround(ds, keepbits)\n",
" \"\"\"\n",
" if isinstance(da, xr.Dataset):\n",
" da_bitrounded = da.copy()\n",
" for v in da.data_vars:\n",
" da_bitrounded[v] = xr_bitround(da[v], keepbits, map_blocks=map_blocks)\n",
" return da_bitrounded\n",
"\n",
" assert isinstance(da, xr.DataArray)\n",
" if isinstance(keepbits, int):\n",
" keep = keepbits\n",
" elif isinstance(keepbits, dict):\n",
" v = da.name\n",
" if v in keepbits.keys():\n",
" keep = keepbits[v]\n",
" else:\n",
" raise ValueError(f\"name {v} not for in keepbits: {keepbits.keys()}\")\n",
" if map_blocks:\n",
" if not is_dask_collection(da.data):\n",
" raise ValueError(\n",
" \"da.map_blocks requires `dask.is_dask_collection(da.data)==True`, found `False`. \"\n",
" \"Please chunk your inputs, e.g. `xr_bitround(da.chunk('auto'), keepbits)`.\"\n",
" )\n",
" else:\n",
" da = da.map_blocks(_np_bitround, args=[keep], template=da)\n",
" else:\n",
" da = xr.apply_ufunc(\n",
" _np_bitround, da, keep, dask=\"parallelized\", keep_attrs=True\n",
" )\n",
" da.attrs[\"_QuantizeBitRoundNumberOfSignificantDigits\"] = keep\n",
" return da"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "6d0288ed-bba4-4074-ae0c-6455330d0eb8",
"metadata": {},
"outputs": [],
"source": [
"import prefect\n",
"from prefect import task, Flow, unmapped, Parameter\n",
"from prefect.engine.signals import SKIP\n",
"from prefect.engine.results import LocalResult\n",
"import glob, os"
]
},
{
"cell_type": "markdown",
"id": "34748280-01af-49ae-a64a-286263a0d256",
"metadata": {},
"source": [
"### find paths to bitround"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "9e15704e-e1cb-47dc-89b0-f250cca38739",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 12G\t/Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom\n"
]
}
],
"source": [
"# want to bitround 12G mpiom_data_2d_mm\n",
"!du -hs /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "bd92948a-c8c0-4579-be11-0042f3605112",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['/Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18500101_18501231.nc',\n",
" '/Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18510101_18511231.nc',\n",
" '/Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18520101_18521231.nc']"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"exppath = \"/Users/aaron.spring/Desktop/mpi-esm\"\n",
"expid = \"asp_esmControl_PMassim_1850_ATMTS_over_2006\"\n",
"model = \"mpiom\"\n",
"label = f\"{model}_data_2d_mm\"\n",
"filestr = f\"{expid}_{label}_????????_????????.nc\"\n",
"files = sorted(glob.glob(f\"{exppath}/{expid}/outdata/{model}/{filestr}\"))\n",
"files[:3]"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "2d0dd2a7-2d07-48a1-8c35-f975c62e49be",
"metadata": {},
"outputs": [],
"source": [
"# saved from previous analysis\n",
"import json\n",
"import time\n",
"with open(f\"keepbits_{label}.json\") as f:\n",
" keepbits_ = json.load(f)\n",
"\n",
"keepbits_ = {v: max(keep,0) for v,keep in keepbits_.items()}"
]
},
{
"cell_type": "markdown",
"id": "279d8f6f-ac3a-450a-8216-580740bfc9bc",
"metadata": {},
"source": [
"### `prefect.flow`"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "7e297f1c-59af-4b27-a315-e0ef7d014b05",
"metadata": {},
"outputs": [
{
"data": {
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"<text text-anchor=\"middle\" x=\"133.34\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\">bitround_and_save &lt;map&gt;</text>\n",
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"<text text-anchor=\"middle\" x=\"134.34\" y=\"-188.3\" font-family=\"Times,serif\" font-size=\"14.00\">PATHS</text>\n",
"</g>\n",
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"<title>5628646688&#45;&gt;5628647696</title>\n",
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"<text text-anchor=\"middle\" x=\"122.84\" y=\"-144.8\" font-family=\"Times,serif\" font-size=\"14.00\">paths</text>\n",
"</g>\n",
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"<polygon fill=\"black\" stroke=\"black\" points=\"156.49,-42.63 148.06,-36.21 150.65,-46.48 156.49,-42.63\"/>\n",
"<text text-anchor=\"middle\" x=\"179.34\" y=\"-101.3\" font-family=\"Times,serif\" font-size=\"14.00\">path</text>\n",
"</g>\n",
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"text/plain": [
"<graphviz.graphs.Digraph at 0x107d62220>"
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},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"vertices = [\"lon_vertices\",\"lat_vertices\",\"lon_2_vertices\",\"lat_2_vertices\",\"lon_3_vertices\",\"lat_3_vertices\"]\n",
"# dont use dask (providing chunks) when not needed\n",
"\n",
"@task\n",
"def get_bitinformation(paths, label=None):\n",
" # take subset only for analysis in bitinformation\n",
" ds = xr.open_mfdataset([paths[0],paths[-1]])\n",
" time.sleep(1)\n",
" # bp.get_keepbits(bp.get_bitinformation(ds))\n",
" return keepbits_\n",
"\n",
"@task\n",
"def bitround_and_save(path, keepbits):\n",
" new_path = path.replace(\".nc\",\"_bitrounded_compressed.nc\")\n",
" if os.path.exists(new_path):\n",
" try:\n",
" ds_new = xr.open_dataset(new_path)#, chunks={})\n",
" ds = xr.open_dataset(path)#, chunks=\"auto\")\n",
" if ds.nbytes == ds_new.nbytes: # bitrounded and original have same number of bytes in memory\n",
" raise SKIP(f\"{new_path} already exists.\")\n",
" except Exception as e:\n",
" print(f\"{type(e)} when xr.open_dataset({new_path}), therefore delete and recalculate.\")\n",
" os.remove(new_path)\n",
" ds = xr.open_dataset(path).set_coords(vertices) # dont bitround vertices\n",
" ds_bitround = xr_bitround(ds, keepbits).reset_coords(vertices)\n",
" # to be replace with to_compressed_netcdf from bitinformation_pipeline\n",
" encoding = {v:{'zlib': True, 'shuffle': True, 'complevel': 4, 'chunksizes': ds[v].chunk({\"time\":1}).data.chunksize if \"time\" in ds[v].dims else None} for v in ds.data_vars}\n",
" ds_bitround.to_netcdf(new_path, encoding=encoding)\n",
" return\n",
"\n",
"with Flow(\"bitinformation_pipeline\") as flow:\n",
" PATHS = Parameter(\"PATHS\", default=files)\n",
" keepbits = get_bitinformation(PATHS) # once\n",
" output = bitround_and_save.map(path=PATHS, keepbits=unmapped(keepbits)) # parallel map\n",
"flow.visualize()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "d09058d3-c360-48b6-922c-d9c75e0ad359",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"rm: /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/*compressed.nc: No such file or directory\n"
]
}
],
"source": [
"!rm /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/*compressed.nc"
]
},
{
"cell_type": "markdown",
"id": "b1b5100e-6e5c-4ac8-abf1-5869a7df8537",
"metadata": {},
"source": [
"# `LocalExecutor`\n",
"\n",
"- https://docs.prefect.io/orchestration/flow_config/executors.html#localexecutor\n",
"- runs sequentially"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "6dcdb243-74fb-4f47-9dbf-035d643db53d",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2022-04-20 15:30:56+0200] INFO - prefect.FlowRunner | Beginning Flow run for 'bitinformation_pipeline'\n",
"[2022-04-20 15:30:56+0200] INFO - prefect.TaskRunner | Task 'PATHS': Starting task run...\n",
"[2022-04-20 15:30:56+0200] INFO - prefect.TaskRunner | Task 'PATHS': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:30:56+0200] INFO - prefect.TaskRunner | Task 'get_bitinformation': Starting task run...\n",
"[2022-04-20 15:30:57+0200] INFO - prefect.TaskRunner | Task 'get_bitinformation': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:30:57+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save': Starting task run...\n",
"[2022-04-20 15:30:57+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save': Finished task run for task with final state: 'Mapped'\n",
"[2022-04-20 15:30:57+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[0]': Starting task run...\n",
"[2022-04-20 15:31:01+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[0]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:01+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[1]': Starting task run...\n",
"[2022-04-20 15:31:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[1]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[2]': Starting task run...\n",
"[2022-04-20 15:31:09+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[2]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:09+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[3]': Starting task run...\n",
"[2022-04-20 15:31:13+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[3]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:13+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[4]': Starting task run...\n",
"[2022-04-20 15:31:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[4]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[5]': Starting task run...\n",
"[2022-04-20 15:31:21+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[5]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:21+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[6]': Starting task run...\n",
"[2022-04-20 15:31:25+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[6]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:25+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[7]': Starting task run...\n",
"[2022-04-20 15:31:29+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[7]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:29+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[8]': Starting task run...\n",
"[2022-04-20 15:31:33+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[8]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:33+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[9]': Starting task run...\n",
"[2022-04-20 15:31:37+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[9]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:37+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[10]': Starting task run...\n",
"[2022-04-20 15:31:41+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[10]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:41+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[11]': Starting task run...\n",
"[2022-04-20 15:31:45+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[11]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:45+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[12]': Starting task run...\n",
"[2022-04-20 15:31:49+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[12]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:49+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[13]': Starting task run...\n",
"[2022-04-20 15:31:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[13]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[14]': Starting task run...\n",
"[2022-04-20 15:31:57+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[14]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:31:57+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[15]': Starting task run...\n",
"[2022-04-20 15:32:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[15]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[16]': Starting task run...\n",
"[2022-04-20 15:32:04+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[16]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:04+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[17]': Starting task run...\n",
"[2022-04-20 15:32:08+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[17]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:08+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[18]': Starting task run...\n",
"[2022-04-20 15:32:12+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[18]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:12+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[19]': Starting task run...\n",
"[2022-04-20 15:32:16+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[19]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:16+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[20]': Starting task run...\n",
"[2022-04-20 15:32:20+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[20]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:20+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[21]': Starting task run...\n",
"[2022-04-20 15:32:25+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[21]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:25+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[22]': Starting task run...\n",
"[2022-04-20 15:32:29+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[22]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:29+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[23]': Starting task run...\n",
"[2022-04-20 15:32:33+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[23]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:33+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[24]': Starting task run...\n",
"[2022-04-20 15:32:37+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[24]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:37+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[25]': Starting task run...\n",
"[2022-04-20 15:32:41+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[25]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:41+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[26]': Starting task run...\n",
"[2022-04-20 15:32:45+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[26]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:45+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[27]': Starting task run...\n",
"[2022-04-20 15:32:49+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[27]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:49+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[28]': Starting task run...\n",
"[2022-04-20 15:32:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[28]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[29]': Starting task run...\n",
"[2022-04-20 15:32:57+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[29]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:32:57+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[30]': Starting task run...\n",
"[2022-04-20 15:33:01+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[30]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:01+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[31]': Starting task run...\n",
"[2022-04-20 15:33:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[31]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[32]': Starting task run...\n",
"[2022-04-20 15:33:09+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[32]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:09+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[33]': Starting task run...\n",
"[2022-04-20 15:33:14+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[33]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:14+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[34]': Starting task run...\n",
"[2022-04-20 15:33:18+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[34]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:18+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[35]': Starting task run...\n",
"[2022-04-20 15:33:22+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[35]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:22+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[36]': Starting task run...\n",
"[2022-04-20 15:33:27+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[36]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:27+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[37]': Starting task run...\n",
"[2022-04-20 15:33:31+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[37]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:31+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[38]': Starting task run...\n",
"[2022-04-20 15:33:36+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[38]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:36+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[39]': Starting task run...\n",
"[2022-04-20 15:33:40+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[39]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:40+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[40]': Starting task run...\n",
"[2022-04-20 15:33:44+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[40]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:44+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[41]': Starting task run...\n",
"[2022-04-20 15:33:48+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[41]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:48+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[42]': Starting task run...\n",
"[2022-04-20 15:33:52+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[42]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:52+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[43]': Starting task run...\n",
"[2022-04-20 15:33:56+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[43]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:33:56+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[44]': Starting task run...\n",
"[2022-04-20 15:34:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[44]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:34:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[45]': Starting task run...\n",
"[2022-04-20 15:34:04+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[45]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:34:04+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[46]': Starting task run...\n",
"[2022-04-20 15:34:08+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[46]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:34:08+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[47]': Starting task run...\n",
"[2022-04-20 15:34:12+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[47]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:34:12+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[48]': Starting task run...\n",
"[2022-04-20 15:34:16+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[48]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:34:16+0200] INFO - prefect.FlowRunner | Flow run SUCCESS: all reference tasks succeeded\n",
"CPU times: user 2min 52s, sys: 23 s, total: 3min 15s\n",
"Wall time: 3min 20s\n"
]
}
],
"source": [
"# run sequentially\n",
"%time st = flow.run()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "222d9139-63ae-4d01-ab9a-07fb4344e459",
"metadata": {},
"outputs": [
{
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},
"execution_count": 9,
"metadata": {},
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}
],
"source": [
"flow.visualize(st)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "d61f4cf1-840f-4b83-98bb-5b3b4b242acd",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" 34M\t/Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18500101_18501231_bitrounded_compressed.nc\n"
]
}
],
"source": [
"!du -hs /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/*compressed.nc | head -1"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "c33b5c2f-2dad-4973-8b6e-dd81dd903b73",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"256M\t/Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18500101_18501231.nc\n"
]
}
],
"source": [
"!du -hs /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/*.nc | head -1"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "0b0f258c-709d-4264-a620-f0e28d21b371",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-rw-r--r-- 1 aaron.spring staff 35185415 Apr 20 15:34 /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18980101_18981231_bitrounded_compressed.nc\n",
"-rw-r--r-- 1 aaron.spring staff 35120709 Apr 20 15:34 /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18970101_18971231_bitrounded_compressed.nc\n",
"-rw-r--r-- 1 aaron.spring staff 35110357 Apr 20 15:34 /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18960101_18961231_bitrounded_compressed.nc\n"
]
}
],
"source": [
"# all sorted\n",
"!ls -all -t /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/*compressed.nc | head -3"
]
},
{
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"execution_count": 13,
"id": "de82a9cd-31b1-4d5e-9dc8-ed0bc6870aca",
"metadata": {},
"outputs": [],
"source": [
"!rm /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/*compressed.nc"
]
},
{
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"metadata": {},
"source": [
"# `DaskExecutor`\n",
"\n",
"- https://docs.prefect.io/orchestration/flow_config/executors.html#daskexecutor\n",
"- runs in parallel\n",
"- is faster for large number of files"
]
},
{
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"id": "c326a7b7-cfb2-4076-a640-92413b0c8fc1",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"# https://docs.xarray.dev/en/stable/user-guide/dask.html\n",
"os.environ['HDF5_USE_FILE_LOCKING']=\"FALSE\""
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "c3509ae8-e1dd-45c8-b2cf-4026d63a96ba",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"LocalCluster(9479976a, 'tcp://127.0.0.1:50420', workers=10, threads=10, memory=32.00 GiB)\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-ed556522-c0ae-11ec-99e0-ee4d35db5430</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
"\n",
" <tr>\n",
" \n",
" <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
" <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
" \n",
" </tr>\n",
"\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" \n",
"\n",
" </table>\n",
"\n",
" \n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
" <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
" </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">9479976a</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 10\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 32.00 GiB\n",
" </td>\n",
" </tr>\n",
" \n",
" <tr>\n",
" <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
" <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
"</tr>\n",
"\n",
" \n",
" </table>\n",
"\n",
" <details>\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
" </summary>\n",
"\n",
" <div style=\"\">\n",
" <div>\n",
" <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
" <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-ef345443-7416-4b85-8283-08eac2b1bb65</p>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm:</strong> tcp://127.0.0.1:50420\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Workers:</strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard:</strong> <a href=\"http://127.0.0.1:8787/status\" target=\"_blank\">http://127.0.0.1:8787/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads:</strong> 10\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Started:</strong> Just now\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total memory:</strong> 32.00 GiB\n",
" </td>\n",
" </tr>\n",
" </table>\n",
" </div>\n",
" </div>\n",
"\n",
" <details style=\"margin-left: 48px;\">\n",
" <summary style=\"margin-bottom: 20px;\">\n",
" <h3 style=\"display: inline;\">Workers</h3>\n",
" </summary>\n",
"\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50457\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50469/status\" target=\"_blank\">http://127.0.0.1:50469/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50423\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-crryy52t\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50453\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50463/status\" target=\"_blank\">http://127.0.0.1:50463/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50424\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-_o251_1f\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50460\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50468/status\" target=\"_blank\">http://127.0.0.1:50468/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50431\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-bim5uer1\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50459\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50464/status\" target=\"_blank\">http://127.0.0.1:50464/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50428\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-2sdldvlk\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50456\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50465/status\" target=\"_blank\">http://127.0.0.1:50465/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50425\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-2npblilz\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50462\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50471/status\" target=\"_blank\">http://127.0.0.1:50471/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50432\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-em_di84i\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50455\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50467/status\" target=\"_blank\">http://127.0.0.1:50467/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50429\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-firz67dw\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 7</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50461\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50481/status\" target=\"_blank\">http://127.0.0.1:50481/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50426\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-arqcobeg\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 8</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50454\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50470/status\" target=\"_blank\">http://127.0.0.1:50470/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50427\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-x7tw1imv\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
" <div style=\"margin-bottom: 20px;\">\n",
" <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
" <div style=\"margin-left: 48px;\">\n",
" <details>\n",
" <summary>\n",
" <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 9</h4>\n",
" </summary>\n",
" <table style=\"width: 100%; text-align: left;\">\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Comm: </strong> tcp://127.0.0.1:50458\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Total threads: </strong> 1\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:50466/status\" target=\"_blank\">http://127.0.0.1:50466/status</a>\n",
" </td>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Memory: </strong> 3.20 GiB\n",
" </td>\n",
" </tr>\n",
" <tr>\n",
" <td style=\"text-align: left;\">\n",
" <strong>Nanny: </strong> tcp://127.0.0.1:50430\n",
" </td>\n",
" <td style=\"text-align: left;\"></td>\n",
" </tr>\n",
" <tr>\n",
" <td colspan=\"2\" style=\"text-align: left;\">\n",
" <strong>Local directory: </strong> /Users/aaron.spring/Coding/bitinformation_pipeline/dask-worker-space/worker-3sr19pys\n",
" </td>\n",
" </tr>\n",
"\n",
" \n",
"\n",
" \n",
"\n",
" </table>\n",
" </details>\n",
" </div>\n",
" </div>\n",
" \n",
"\n",
" </details>\n",
"</div>\n",
"\n",
" </details>\n",
" </div>\n",
"</div>\n",
" </details>\n",
" \n",
"\n",
" </div>\n",
"</div>"
],
"text/plain": [
"<Client: 'tcp://127.0.0.1:50420' processes=10 threads=10, memory=32.00 GiB>"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# https://examples.dask.org/applications/prefect-etl.html\n",
"\n",
"from dask.distributed import Client\n",
"client = Client(n_workers=10, threads_per_worker=1, processes=True) # important threads_per_worker=1\n",
"\n",
"# point Prefect's DaskExecutor to our Dask cluster\n",
"from prefect.executors import DaskExecutor, LocalDaskExecutor\n",
"print(client.cluster)\n",
"\n",
"executor = DaskExecutor(address=client.scheduler.address, performance_report_path=\"prefect_to_netcdf_performance_report.html\")\n",
"\n",
"client"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "51d5fff8-dc2d-475d-8844-f218178e5134",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'http://127.0.0.1:8787/status'"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# check daskboard to see parallelism\n",
"client.dashboard_link"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "04e77241-9219-4fca-b022-32ab8b91ebdb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2022-04-20 15:36:50+0200] INFO - prefect.FlowRunner | Beginning Flow run for 'bitinformation_pipeline'\n",
"[2022-04-20 15:36:50+0200] INFO - prefect.DaskExecutor | Connecting to an existing Dask cluster at tcp://127.0.0.1:50420\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/aaron.spring/mambaforge/envs/prefect_xarray/lib/python3.9/site-packages/distributed/scheduler.py:5029: UserWarning: Scheduler already contains a plugin with name worker-status; overwriting.\n",
" warnings.warn(\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2022-04-20 15:36:51+0200] INFO - prefect.TaskRunner | Task 'PATHS': Starting task run...\n",
"[2022-04-20 15:36:51+0200] INFO - prefect.TaskRunner | Task 'PATHS': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:36:51+0200] INFO - prefect.TaskRunner | Task 'get_bitinformation': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'get_bitinformation': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save': Finished task run for task with final state: 'Mapped'\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[2]': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[9]': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[5]': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[3]': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[1]': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[7]': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[6]': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[0]': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[4]': Starting task run...\n",
"[2022-04-20 15:36:53+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[8]': Starting task run...\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[0]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[17]': Starting task run...\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[2]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[33]': Starting task run...\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[9]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[35]': Starting task run...\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[5]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[6]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[23]': Starting task run...\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[43]': Starting task run...\n",
"[2022-04-20 15:36:59+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[3]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[1]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[7]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[4]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[14]': Starting task run...\n",
"[2022-04-20 15:37:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[45]': Starting task run...\n",
"[2022-04-20 15:37:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[31]': Starting task run...\n",
"[2022-04-20 15:37:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[39]': Starting task run...\n",
"[2022-04-20 15:37:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[8]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:00+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[22]': Starting task run...\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[17]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[27]': Starting task run...\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[39]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[45]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[16]': Starting task run...\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[43]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[18]': Starting task run...\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[30]': Starting task run...\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[31]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[21]': Starting task run...\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[33]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[28]': Starting task run...\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[23]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[35]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[24]': Starting task run...\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[10]': Starting task run...\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[22]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:05+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[20]': Starting task run...\n",
"[2022-04-20 15:37:06+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[14]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:06+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[46]': Starting task run...\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[28]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[34]': Starting task run...\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[27]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[47]': Starting task run...\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[30]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[38]': Starting task run...\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[18]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[29]': Starting task run...\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[16]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[21]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[12]': Starting task run...\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[25]': Starting task run...\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[24]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[19]': Starting task run...\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[10]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:11+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[15]': Starting task run...\n",
"[2022-04-20 15:37:12+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[46]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:12+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[20]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:12+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[36]': Starting task run...\n",
"[2022-04-20 15:37:12+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[40]': Starting task run...\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[34]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[26]': Starting task run...\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[47]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[44]': Starting task run...\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[29]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[13]': Starting task run...\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[19]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[11]': Starting task run...\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[38]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[12]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[32]': Starting task run...\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[41]': Starting task run...\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[36]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[25]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[15]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[48]': Starting task run...\n",
"[2022-04-20 15:37:17+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[42]': Starting task run...\n",
"[2022-04-20 15:37:18+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[40]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:18+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[37]': Starting task run...\n",
"[2022-04-20 15:37:22+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[26]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:22+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[48]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:23+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[44]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:23+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[11]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:23+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[13]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:23+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[32]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:23+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[42]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:23+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[41]': Finished task run for task with final state: 'Success'\n",
"[2022-04-20 15:37:23+0200] INFO - prefect.TaskRunner | Task 'bitround_and_save[37]': Finished task run for task with final state: 'Success'\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/aaron.spring/mambaforge/envs/prefect_xarray/lib/python3.9/site-packages/prefect/executors/dask.py:329: RuntimeWarning: coroutine 'rpc.close_rpc' was never awaited\n",
" scheduler_comm.close_rpc()\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"[2022-04-20 15:37:24+0200] INFO - prefect.FlowRunner | Flow run SUCCESS: all reference tasks succeeded\n",
"CPU times: user 6.64 s, sys: 8.24 s, total: 14.9 s\n",
"Wall time: 33.3 s\n"
]
},
{
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],
"source": [
"# run in parallel\n",
"%time dst = flow.run(executor=executor)\n",
"flow.visualize(dst)"
]
},
{
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"execution_count": 18,
"id": "8ee5bb9f-442e-46e9-a7ac-7b4fb86d97a3",
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"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-rw-r--r-- 1 aaron.spring staff 35194818 Apr 20 15:34 /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18940101_18941231_bitrounded_compressed.nc\n",
"-rw-r--r-- 1 aaron.spring staff 35004251 Apr 20 15:34 /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18920101_18921231_bitrounded_compressed.nc\n",
"-rw-r--r-- 1 aaron.spring staff 35077106 Apr 20 15:34 /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18720101_18721231_bitrounded_compressed.nc\n"
]
}
],
"source": [
"# in random order because parallelized\n",
"!ls -all -t /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/*compressed.nc | head -3"
]
},
{
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"execution_count": 54,
"id": "0865dc06-b2fd-4085-8069-27fea1bbbaf9",
"metadata": {},
"outputs": [
{
"name": "stdout",
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"text": [
"1.6G\ttotal\n"
]
}
],
"source": [
"# total size of new files\n",
"!du -hsc /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/*compressed.nc | tail -1"
]
},
{
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"execution_count": 55,
"id": "6a63cb41-7dbc-46ab-aa4c-f11f34d47c97",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"257M\t/Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18970101_18971231.nc\n",
" 34M\t/Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18970101_18971231_bitrounded_compressed.nc\n"
]
}
],
"source": [
"# comparing one file before and after\n",
"!du -hs /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/asp_esmControl_PMassim_1850_ATMTS_over_2006_mpiom_data_2d_mm_18970101_18971231*"
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},
{
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"execution_count": 59,
"id": "a4375f33-3291-479d-92f1-4efebc1d4b5b",
"metadata": {},
"outputs": [
{
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},
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"metadata": {},
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],
"source": [
"# compression factor\n",
"os.path.getsize(files[0]) / os.path.getsize(files[0].replace(\".nc\",\"_bitrounded_compressed.nc\"))"
]
},
{
"cell_type": "markdown",
"id": "27848713-405b-4e51-af3c-58fee1801c8c",
"metadata": {},
"source": [
"> compressed 12GB to 1.6GB with `zlib` `complevel=4` in in 4min sequentially or in 32sec in parallel with `dask` on a 10-core MacBook"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "18769884-f083-40cf-b318-1c1f3b9e0aa5",
"metadata": {},
"outputs": [],
"source": [
"client.close()"
]
},
{
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"execution_count": null,
"id": "1792b882-5339-4c68-a140-cc094619c15f",
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"id": "a602554e-6898-49ef-90e5-2b9bc4ea8dd1",
"metadata": {},
"source": [
"### Analysis"
]
},
{
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"execution_count": 29,
"id": "1e39d13c-1dde-4dda-8aff-69888fd67ff6",
"metadata": {},
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"source": [
"ds = xr.open_dataset(files[0])"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "6e77fe55-040a-4a6a-8470-6f649f300c4b",
"metadata": {},
"outputs": [],
"source": [
"ds_new = xr.open_dataset(files[0].replace(\".nc\",\"_bitrounded_compressed.nc\"))"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "62caf39c-9aa9-45f6-aa3f-27765c5070d5",
"metadata": {},
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"source": [
"ds_both = xr.concat([ds,ds_new],'method').assign_coords(method=[\"original\",\"bitrounded\"])"
]
},
{
"cell_type": "code",
"execution_count": 64,
"id": "40d7b9de-a8b2-4fce-b85f-1cf17bdb5840",
"metadata": {},
"outputs": [],
"source": [
"v = \"tos\" # \"zmld\""
]
},
{
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"id": "54c514e2-6888-447d-ae9a-dbe772436414",
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{
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},
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\n",
"text/plain": [
"<Figure size 504x432 with 5 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds_both[v].isel(time=[0,6],depth=0).plot(col='method', row='time', yincrease=False, robust=True)"
]
},
{
"cell_type": "code",
"execution_count": 66,
"id": "609d3311-2c41-4e34-b5b8-4707e49bb45f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.plot.facetgrid.FacetGrid at 0x16836f430>"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 288x432 with 3 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"ds_both[v].isel(time=[0,6],depth=0).diff(\"method\").plot(robust=True, row='time',yincrease=False)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "2c8df6f9-bc20-4b07-8bc6-5b2f235192f0",
"metadata": {},
"outputs": [],
"source": [
"#!rm /Users/aaron.spring/Desktop/mpi-esm/asp_esmControl_PMassim_1850_ATMTS_over_2006/outdata/mpiom/*compressed.nc"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7e9cd8c9-8287-4a45-89ed-d77c3f240c16",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:prefect_xarray] *",
"language": "python",
"name": "conda-env-prefect_xarray-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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