%matplotlib inline
import pandas as pd
import socket
host = socket.getfqdn()
from core import load, zoom, calc, save,plots,monitor
#reload funcs after updating ./core/*.py
import importlib
importlib.reload(load)
importlib.reload(zoom)
importlib.reload(calc)
importlib.reload(save)
importlib.reload(plots)
importlib.reload(monitor)
<module 'core.monitor' from '/ccc/work/cont003/gen7420/talandel/TOOLS/monitor-sedna/notebook/core/monitor.py'>
If you submit the job with job scheduler; below are list of enviroment variable one can pass
local : if True run dask local cluster, if not true, put number of workers setted in the 'local' if no 'local ' given, local will be setted automatically to 'True'
%env ychunk='2', #%env tchunk='2'
controls chunk. 'False' sets no modification from original netcdf file's chunk.
ychunk=10 will group the original netcdf file to 10 by 10
tchunk=1 will chunk the time coordinate one by one
%env file_exp=
'file_exp': Which 'experiment' name is it? this corresopnds to intake catalog name without path and .yaml
#%env year=
for Validation, this correspoinds to path/year/month 's year for monitoring, this corresponids to 'date' having means do all files in the monitoring directory setting it as 0[0-9] &1[0-9]& [2-3][0-9], the job can be separated in three lots. For DELTA experiment, year corresponds to really 'year'
%env month=
for monitoring this corresponds to file path path-XIOS.{month}/
For DELTA experiment, year corresponds to really 'month'
proceed saving? True or False , Default is setted as True
proceed plotting? True or False , Default is setted as True
proceed computation? or just load computed result? True or False , Default is setted as True
save output file used for plotting
using kerchunked file -> False, not using kerhcunk -> True
name of control file to be used for computation/plots/save/ We have number of M_xxx.csv
Monitor.sh calls M_MLD_2D
and AWTD.sh, Fluxnet.sh, Siconc.sh, IceClim.sh, FWC_SSH.sh, Integrals.sh , Sections.sh
M_AWTMD
M_Fluxnet
M_Ice_quantities
M_IceClim M_IceConce M_IceThick
M_FWC_2D M_FWC_integrals M_FWC_SSH M_SSH_anomaly
M_Mean_temp_velo M_Mooring
M_Sectionx M_Sectiony
%%time
# 'savefig': Do we save output in html? or not. keep it true.
savefig=True
client,cluster,control,catalog_url,month,year,daskreport,outputpath = load.set_control(host)
!mkdir -p $outputpath
!mkdir -p $daskreport
client
local True using host= irene6090.c-irene.mg1.tgcc.ccc.cea.fr starting dask cluster on local= True workers 16 10000000000 rome local cluster starting This code is running on irene6090.c-irene.mg1.tgcc.ccc.cea.fr using SEDNA_DELTA_MONITOR file experiment, read from ../lib/SEDNA_DELTA_MONITOR.yaml on year= 2015 on month= 08 outputpath= ../results/SEDNA_DELTA_MONITOR/ daskreport= ../results/dask/7449025irene6090.c-irene.mg1.tgcc.ccc.cea.fr_SEDNA_DELTA_MONITOR_08M_FWC_2D/ CPU times: user 466 ms, sys: 133 ms, total: 599 ms Wall time: 17.9 s
Client-a569c0de-6f42-11ed-8484-080038b931d1
Connection method: Cluster object | Cluster type: distributed.LocalCluster |
Dashboard: http://127.0.0.1:8787/status |
e4cec7cd
Dashboard: http://127.0.0.1:8787/status | Workers: 16 |
Total threads: 128 | Total memory: 221.88 GiB |
Status: running | Using processes: True |
Scheduler-d7fc1dcc-c47b-4d8e-bbcb-28fdc0f5f2c9
Comm: tcp://127.0.0.1:36249 | Workers: 16 |
Dashboard: http://127.0.0.1:8787/status | Total threads: 128 |
Started: Just now | Total memory: 221.88 GiB |
Comm: tcp://127.0.0.1:38658 | Total threads: 8 |
Dashboard: http://127.0.0.1:35640/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:43830 | |
Local directory: /tmp/dask-worker-space/worker-gbsm7ayq |
Comm: tcp://127.0.0.1:40975 | Total threads: 8 |
Dashboard: http://127.0.0.1:37609/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:34695 | |
Local directory: /tmp/dask-worker-space/worker-yf2pk2dp |
Comm: tcp://127.0.0.1:46395 | Total threads: 8 |
Dashboard: http://127.0.0.1:40776/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:41156 | |
Local directory: /tmp/dask-worker-space/worker-1uswv694 |
Comm: tcp://127.0.0.1:34807 | Total threads: 8 |
Dashboard: http://127.0.0.1:33655/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:33927 | |
Local directory: /tmp/dask-worker-space/worker-lisyswi0 |
Comm: tcp://127.0.0.1:38061 | Total threads: 8 |
Dashboard: http://127.0.0.1:38818/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:39604 | |
Local directory: /tmp/dask-worker-space/worker-0t5qc1dj |
Comm: tcp://127.0.0.1:34615 | Total threads: 8 |
Dashboard: http://127.0.0.1:39550/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:34619 | |
Local directory: /tmp/dask-worker-space/worker-heucudod |
Comm: tcp://127.0.0.1:41737 | Total threads: 8 |
Dashboard: http://127.0.0.1:46648/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:40028 | |
Local directory: /tmp/dask-worker-space/worker-7nienz2d |
Comm: tcp://127.0.0.1:37988 | Total threads: 8 |
Dashboard: http://127.0.0.1:45623/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:44542 | |
Local directory: /tmp/dask-worker-space/worker-7wwbar6i |
Comm: tcp://127.0.0.1:35136 | Total threads: 8 |
Dashboard: http://127.0.0.1:33290/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:35480 | |
Local directory: /tmp/dask-worker-space/worker-8jtpzpsk |
Comm: tcp://127.0.0.1:41854 | Total threads: 8 |
Dashboard: http://127.0.0.1:46099/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:39803 | |
Local directory: /tmp/dask-worker-space/worker-lyut4zdp |
Comm: tcp://127.0.0.1:38237 | Total threads: 8 |
Dashboard: http://127.0.0.1:38030/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:33475 | |
Local directory: /tmp/dask-worker-space/worker-0ff58_5_ |
Comm: tcp://127.0.0.1:34609 | Total threads: 8 |
Dashboard: http://127.0.0.1:38606/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:38200 | |
Local directory: /tmp/dask-worker-space/worker-nqmii1ka |
Comm: tcp://127.0.0.1:36511 | Total threads: 8 |
Dashboard: http://127.0.0.1:39415/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:33713 | |
Local directory: /tmp/dask-worker-space/worker-yj57tr96 |
Comm: tcp://127.0.0.1:34418 | Total threads: 8 |
Dashboard: http://127.0.0.1:46200/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:38901 | |
Local directory: /tmp/dask-worker-space/worker-3daldp54 |
Comm: tcp://127.0.0.1:38674 | Total threads: 8 |
Dashboard: http://127.0.0.1:44499/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:35613 | |
Local directory: /tmp/dask-worker-space/worker-x1g_88wi |
Comm: tcp://127.0.0.1:33132 | Total threads: 8 |
Dashboard: http://127.0.0.1:39276/status | Memory: 13.87 GiB |
Nanny: tcp://127.0.0.1:45322 | |
Local directory: /tmp/dask-worker-space/worker-8bz9iryc |
df=load.controlfile(control)
#Take out 'later' tagged computations
#df=df[~df['Value'].str.contains('later')]
df
Value | Inputs | Equation | Zone | Plot | Colourmap | MinMax | Unit | Oldname | Unnamed: 10 | |
---|---|---|---|---|---|---|---|---|---|---|
FWC_2D | gridS.vosaline,param.mask,param.e3t,param.e1te2t | calc.FWC2D_UFUNC(data) | BBFG | maps | Spectral_r | (0,24) | m | S-1 |
Each computation consists of
%%time
import os
calcswitch=os.environ.get('calc', 'True')
lazy=os.environ.get('lazy','False' )
loaddata=((df.Inputs != '').any())
print('calcswitch=',calcswitch,'df.Inputs != nothing',loaddata, 'lazy=',lazy)
data = load.datas(catalog_url,df.Inputs,month,year,daskreport,lazy=lazy) if ((calcswitch=='True' )*loaddata) else 0
data
calcswitch= True df.Inputs != nothing True lazy= False ../lib/SEDNA_DELTA_MONITOR.yaml using param_xios reading ../lib/SEDNA_DELTA_MONITOR.yaml using param_xios reading <bound method DataSourceBase.describe of sources: param_xios: args: combine: nested concat_dim: y urlpath: /ccc/work/cont003/gen7420/odakatin/CONFIGS/SEDNA/SEDNA-I/SEDNA_Domain_cfg_Tgt_20210423_tsh10m_L1/param_f32/x_*.nc xarray_kwargs: compat: override coords: minimal data_vars: minimal parallel: true description: SEDNA NEMO parameters from MPI output nav_lon lat fails driver: intake_xarray.netcdf.NetCDFSource metadata: catalog_dir: /ccc/work/cont003/gen7420/talandel/TOOLS/monitor-sedna/notebook/../lib/ > {'name': 'param_xios', 'container': 'xarray', 'plugin': ['netcdf'], 'driver': ['netcdf'], 'description': 'SEDNA NEMO parameters from MPI output nav_lon lat fails', 'direct_access': 'forbid', 'user_parameters': [{'name': 'path', 'description': 'file coordinate', 'type': 'str', 'default': '/ccc/work/cont003/gen7420/odakatin/CONFIGS/SEDNA/MESH/SEDNA_mesh_mask_Tgt_20210423_tsh10m_L1/param'}], 'metadata': {}, 'args': {'urlpath': '/ccc/work/cont003/gen7420/odakatin/CONFIGS/SEDNA/SEDNA-I/SEDNA_Domain_cfg_Tgt_20210423_tsh10m_L1/param_f32/x_*.nc', 'combine': 'nested', 'concat_dim': 'y'}} 0 read gridS ['vosaline'] lazy= False using load_data_xios_kerchunk reading gridS using load_data_xios_kerchunk reading <bound method DataSourceBase.describe of sources: data_xios_kerchunk: args: consolidated: false storage_options: fo: file:////ccc/cont003/home/ra5563/ra5563/catalogue/DELTA/201508/gridS_0[0-5][0-9][0-9].json target_protocol: file urlpath: reference:// description: CREG025 NEMO outputs from different xios server in kerchunk format driver: intake_xarray.xzarr.ZarrSource metadata: catalog_dir: /ccc/work/cont003/gen7420/talandel/TOOLS/monitor-sedna/notebook/../lib/ > took 67.42906069755554 seconds 0 merging gridS ['vosaline'] param mask will be included in data param nav_lon will be included in data param mask2d will be included in data param nav_lat will be included in data param e3t will be included in data param e1te2t will be included in data ychunk= 10 calldatas_y_rechunk sum_num (13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12) start rechunking with (130, 122, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 48) end of y_rechunk CPU times: user 22.4 s, sys: 4.42 s, total: 26.9 s Wall time: 1min 31s
<xarray.Dataset> Dimensions: (t: 31, z: 150, y: 6540, x: 6560) Coordinates: * t (t) object 2015-08-01 12:00:00 ... 2015-08-31 12:00:00 * y (y) int64 1 2 3 4 5 6 7 8 ... 6534 6535 6536 6537 6538 6539 6540 * x (x) int64 1 2 3 4 5 6 7 8 ... 6554 6555 6556 6557 6558 6559 6560 * z (z) int64 1 2 3 4 5 6 7 8 9 ... 143 144 145 146 147 148 149 150 mask (z, y, x) bool dask.array<chunksize=(150, 130, 6560), meta=np.ndarray> nav_lon (y, x) float32 dask.array<chunksize=(130, 6560), meta=np.ndarray> mask2d (y, x) bool dask.array<chunksize=(130, 6560), meta=np.ndarray> nav_lat (y, x) float32 dask.array<chunksize=(130, 6560), meta=np.ndarray> e3t (z, y, x) float64 dask.array<chunksize=(150, 130, 6560), meta=np.ndarray> e1te2t (y, x) float64 dask.array<chunksize=(130, 6560), meta=np.ndarray> Data variables: vosaline (t, z, y, x) float32 dask.array<chunksize=(1, 150, 130, 6560), meta=np.ndarray> Attributes: (12/26) CASE: DELTA CONFIG: SEDNA Conventions: CF-1.6 DOMAIN_dimensions_ids: [2, 3] DOMAIN_halo_size_end: [0, 0] DOMAIN_halo_size_start: [0, 0] ... ... nj: 13 output_frequency: 1d start_date: 20090101 timeStamp: 2022-Aug-16 14:01:18 GMT title: ocean T grid variables uuid: 9f53b3e0-34c9-462f-b2ac-8bb0e4a6d5d2
%%time
monitor.auto(df,data,savefig,daskreport,outputpath,file_exp='SEDNA'
)
#calc= True #save= True #plot= False Value='FWC_2D' Zone='BBFG' Plot='maps' cmap='Spectral_r' clabel='m' clim= (0, 24) outputpath='../results/SEDNA_DELTA_MONITOR/' nc_outputpath='../nc_results/SEDNA_DELTA_MONITOR/' filename='SEDNA_maps_BBFG_FWC_2D' data=monitor.optimize_dataset(data) #2 Zooming Data data= zoom.BBFG(data) data=monitor.optimize_dataset(data)
<xarray.Dataset> Dimensions: (t: 31, z: 150, y: 5264, x: 6560) Coordinates: * t (t) object 2015-08-01 12:00:00 ... 2015-08-31 12:00:00 * y (y) int64 1277 1278 1279 1280 1281 ... 6536 6537 6538 6539 6540 * x (x) int64 1 2 3 4 5 6 7 8 ... 6554 6555 6556 6557 6558 6559 6560 * z (z) int64 1 2 3 4 5 6 7 8 9 ... 143 144 145 146 147 148 149 150 mask (z, y, x) bool dask.array<chunksize=(150, 56, 6560), meta=np.ndarray> nav_lon (y, x) float32 dask.array<chunksize=(56, 6560), meta=np.ndarray> mask2d (y, x) bool dask.array<chunksize=(56, 6560), meta=np.ndarray> nav_lat (y, x) float32 dask.array<chunksize=(56, 6560), meta=np.ndarray> e3t (z, y, x) float64 dask.array<chunksize=(150, 56, 6560), meta=np.ndarray> e1te2t (y, x) float64 dask.array<chunksize=(56, 6560), meta=np.ndarray> Data variables: vosaline (t, z, y, x) float32 dask.array<chunksize=(1, 150, 56, 6560), meta=np.ndarray> Attributes: (12/26) CASE: DELTA CONFIG: SEDNA Conventions: CF-1.6 DOMAIN_dimensions_ids: [2, 3] DOMAIN_halo_size_end: [0, 0] DOMAIN_halo_size_start: [0, 0] ... ... nj: 13 output_frequency: 1d start_date: 20090101 timeStamp: 2022-Aug-16 14:01:18 GMT title: ocean T grid variables uuid: 9f53b3e0-34c9-462f-b2ac-8bb0e4a6d5d2
#3 Start computing data= calc.FWC2D_UFUNC(data) monitor.optimize_dataset(data) add optimise here once otimise can recognise
<xarray.Dataset> Dimensions: (t: 31, y: 5264, x: 6560) Coordinates: * t (t) object 2015-08-01 12:00:00 ... 2015-08-31 12:00:00 * y (y) int64 1277 1278 1279 1280 1281 ... 6536 6537 6538 6539 6540 * x (x) int64 1 2 3 4 5 6 7 8 ... 6554 6555 6556 6557 6558 6559 6560 nav_lon (y, x) float32 dask.array<chunksize=(56, 6560), meta=np.ndarray> mask2d (y, x) bool dask.array<chunksize=(56, 6560), meta=np.ndarray> nav_lat (y, x) float32 dask.array<chunksize=(56, 6560), meta=np.ndarray> e1te2t (y, x) float64 dask.array<chunksize=(56, 6560), meta=np.ndarray> Data variables: FWC2D (t, y, x) float32 dask.array<chunksize=(1, 56, 6560), meta=np.ndarray>
#4 Saving SEDNA_maps_BBFG_FWC_2D data=save.datas(data,plot=Plot,path=nc_outputpath,filename=filename) start saving data saving data in a file t (1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1) 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 slice(0, 1, None)
2022-11-28 18:35:50,085 - distributed.worker_memory - WARNING - Worker is at 80% memory usage. Pausing worker. Process memory: 11.22 GiB -- Worker memory limit: 13.87 GiB 2022-11-28 18:36:12,257 - distributed.worker_memory - WARNING - Worker is at 60% memory usage. Resuming worker. Process memory: 8.36 GiB -- Worker memory limit: 13.87 GiB 2022-11-28 18:38:03,986 - distributed.worker_memory - WARNING - Worker is at 83% memory usage. Pausing worker. Process memory: 11.64 GiB -- Worker memory limit: 13.87 GiB 2022-11-28 18:38:35,074 - distributed.worker_memory - WARNING - Worker is at 52% memory usage. Resuming worker. Process memory: 7.24 GiB -- Worker memory limit: 13.87 GiB
slice(1, 2, None)
2022-11-28 18:40:19,528 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:35136 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 223, in read frames_nbytes = await stream.read_bytes(fmt_size) asyncio.exceptions.CancelledError During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/asyncio/tasks.py", line 456, in wait_for return fut.result() asyncio.exceptions.CancelledError The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/core.py", line 328, in connect handshake = await asyncio.wait_for(comm.read(), time_left()) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/asyncio/tasks.py", line 458, in wait_for raise exceptions.TimeoutError() from exc asyncio.exceptions.TimeoutError The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2702, in _get_data comm = await rpc.connect(worker) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 1371, in connect return await connect_attempt File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 1307, in _connect comm = await connect( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/core.py", line 333, in connect raise OSError( OSError: Timed out during handshake while connecting to tcp://127.0.0.1:35136 after 30 s
slice(2, 3, None) slice(3, 4, None) slice(4, 5, None) slice(5, 6, None) slice(6, 7, None) slice(7, 8, None) slice(8, 9, None) slice(9, 10, None) slice(10, 11, None) slice(11, 12, None) slice(12, 13, None)
2022-11-28 18:55:33,612 - distributed.worker_memory - WARNING - Worker is at 85% memory usage. Pausing worker. Process memory: 11.91 GiB -- Worker memory limit: 13.87 GiB 2022-11-28 18:55:36,691 - distributed.worker_memory - WARNING - Worker is at 74% memory usage. Resuming worker. Process memory: 10.27 GiB -- Worker memory limit: 13.87 GiB 2022-11-28 18:55:42,831 - distributed.worker_memory - WARNING - Worker is at 87% memory usage. Pausing worker. Process memory: 12.13 GiB -- Worker memory limit: 13.87 GiB 2022-11-28 18:55:50,258 - distributed.worker_memory - WARNING - Worker is at 67% memory usage. Resuming worker. Process memory: 9.38 GiB -- Worker memory limit: 13.87 GiB
slice(13, 14, None) slice(14, 15, None)
2022-11-28 18:58:42,201 - distributed.worker_memory - WARNING - Worker tcp://127.0.0.1:46395 (pid=165069) exceeded 95% memory budget. Restarting... 2022-11-28 18:58:42,937 - distributed.nanny - WARNING - Restarting worker 2022-11-28 18:58:50,928 - distributed.worker - ERROR - failed during get data with tcp://127.0.0.1:41854 -> tcp://127.0.0.1:46395 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/tornado/iostream.py", line 971, in _handle_write num_bytes = self.write_to_fd(self._write_buffer.peek(size)) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/tornado/iostream.py", line 1148, in write_to_fd return self.socket.send(data) # type: ignore BrokenPipeError: [Errno 32] Broken pipe The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1692, in get_data response = await comm.read(deserializers=serializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 142, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc.__class__.__name__}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) local=tcp://127.0.0.1:41854 remote=tcp://127.0.0.1:46750>: BrokenPipeError: [Errno 32] Broken pipe
slice(15, 16, None) slice(16, 17, None) slice(17, 18, None) slice(18, 19, None)
2022-11-28 19:05:04,841 - distributed.worker_memory - WARNING - Worker is at 80% memory usage. Pausing worker. Process memory: 11.11 GiB -- Worker memory limit: 13.87 GiB 2022-11-28 19:05:06,514 - distributed.worker_memory - WARNING - Worker is at 76% memory usage. Resuming worker. Process memory: 10.57 GiB -- Worker memory limit: 13.87 GiB 2022-11-28 19:05:11,202 - distributed.worker_memory - WARNING - Worker tcp://127.0.0.1:36511 (pid=165100) exceeded 95% memory budget. Restarting... 2022-11-28 19:05:12,296 - distributed.worker - ERROR - failed during get data with tcp://127.0.0.1:38658 -> tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 223, in read frames_nbytes = await stream.read_bytes(fmt_size) tornado.iostream.StreamClosedError: Stream is closed The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1692, in get_data response = await comm.read(deserializers=serializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 144, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) local=tcp://127.0.0.1:38658 remote=tcp://127.0.0.1:59900>: Stream is closed 2022-11-28 19:05:12,294 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 233, in read n = await stream.read_into(chunk) tornado.iostream.StreamClosedError: Stream is closed The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2705, in _get_data response = await send_recv( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 918, in send_recv response = await comm.read(deserializers=deserializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 144, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:44572 remote=tcp://127.0.0.1:36511>: Stream is closed 2022-11-28 19:05:12,292 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 233, in read n = await stream.read_into(chunk) tornado.iostream.StreamClosedError: Stream is closed The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2705, in _get_data response = await send_recv( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 918, in send_recv response = await comm.read(deserializers=deserializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 144, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:44376 remote=tcp://127.0.0.1:36511>: Stream is closed 2022-11-28 19:05:12,292 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 233, in read n = await stream.read_into(chunk) tornado.iostream.StreamClosedError: Stream is closed The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2705, in _get_data response = await send_recv( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 918, in send_recv response = await comm.read(deserializers=deserializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 144, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:44778 remote=tcp://127.0.0.1:36511>: Stream is closed 2022-11-28 19:05:12,296 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 233, in read n = await stream.read_into(chunk) tornado.iostream.StreamClosedError: Stream is closed The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2705, in _get_data response = await send_recv( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 918, in send_recv response = await comm.read(deserializers=deserializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 144, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:44602 remote=tcp://127.0.0.1:36511>: Stream is closed 2022-11-28 19:05:12,295 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 223, in read frames_nbytes = await stream.read_bytes(fmt_size) tornado.iostream.StreamClosedError: Stream is closed The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2705, in _get_data response = await send_recv( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 918, in send_recv response = await comm.read(deserializers=deserializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 144, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:44680 remote=tcp://127.0.0.1:36511>: Stream is closed 2022-11-28 19:05:12,291 - distributed.worker - ERROR - failed during get data with tcp://127.0.0.1:33132 -> tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/tornado/iostream.py", line 867, in _read_to_buffer bytes_read = self.read_from_fd(buf) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/tornado/iostream.py", line 1140, in read_from_fd return self.socket.recv_into(buf, len(buf)) ConnectionResetError: [Errno 104] Connection reset by peer The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1692, in get_data response = await comm.read(deserializers=serializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 142, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc.__class__.__name__}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) local=tcp://127.0.0.1:33132 remote=tcp://127.0.0.1:50804>: ConnectionResetError: [Errno 104] Connection reset by peer 2022-11-28 19:05:12,295 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 223, in read frames_nbytes = await stream.read_bytes(fmt_size) tornado.iostream.StreamClosedError: Stream is closed The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2705, in _get_data response = await send_recv( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 918, in send_recv response = await comm.read(deserializers=deserializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 144, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:44110 remote=tcp://127.0.0.1:36511>: Stream is closed 2022-11-28 19:05:12,296 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/tornado/iostream.py", line 867, in _read_to_buffer bytes_read = self.read_from_fd(buf) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/tornado/iostream.py", line 1140, in read_from_fd return self.socket.recv_into(buf, len(buf)) ConnectionResetError: [Errno 104] Connection reset by peer The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2705, in _get_data response = await send_recv( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 918, in send_recv response = await comm.read(deserializers=deserializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 142, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc.__class__.__name__}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:44936 remote=tcp://127.0.0.1:36511>: ConnectionResetError: [Errno 104] Connection reset by peer 2022-11-28 19:05:12,297 - distributed.worker - ERROR - failed during get data with tcp://127.0.0.1:34615 -> tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/tornado/iostream.py", line 867, in _read_to_buffer bytes_read = self.read_from_fd(buf) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/tornado/iostream.py", line 1140, in read_from_fd return self.socket.recv_into(buf, len(buf)) ConnectionResetError: [Errno 104] Connection reset by peer The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1692, in get_data response = await comm.read(deserializers=serializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 142, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc.__class__.__name__}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) local=tcp://127.0.0.1:34615 remote=tcp://127.0.0.1:56584>: ConnectionResetError: [Errno 104] Connection reset by peer 2022-11-28 19:05:12,297 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 233, in read n = await stream.read_into(chunk) tornado.iostream.StreamClosedError: Stream is closed The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2705, in _get_data response = await send_recv( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 918, in send_recv response = await comm.read(deserializers=deserializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 144, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:44698 remote=tcp://127.0.0.1:36511>: Stream is closed 2022-11-28 19:05:12,299 - distributed.worker - ERROR - Worker stream died during communication: tcp://127.0.0.1:36511 Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 233, in read n = await stream.read_into(chunk) tornado.iostream.StreamClosedError: Stream is closed The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 1983, in gather_dep response = await get_data_from_worker( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2725, in get_data_from_worker return await retry_operation(_get_data, operation="get_data_from_worker") File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 383, in retry_operation return await retry( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/utils_comm.py", line 368, in retry return await coro() File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/worker.py", line 2705, in _get_data response = await send_recv( File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/core.py", line 918, in send_recv response = await comm.read(deserializers=deserializers) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 239, in read convert_stream_closed_error(self, e) File "/ccc/cont003/home/ra5563/ra5563/monitor/lib/python3.10/site-packages/distributed/comm/tcp.py", line 144, in convert_stream_closed_error raise CommClosedError(f"in {obj}: {exc}") from exc distributed.comm.core.CommClosedError: in <TCP (closed) Ephemeral Worker->Worker for gather local=tcp://127.0.0.1:44534 remote=tcp://127.0.0.1:36511>: Stream is closed 2022-11-28 19:05:12,436 - distributed.nanny - WARNING - Restarting worker 2022-11-28 19:05:18,362 - distributed.worker_memory - WARNING - Worker is at 80% memory usage. Pausing worker. Process memory: 11.20 GiB -- Worker memory limit: 13.87 GiB 2022-11-28 19:05:56,095 - distributed.worker_memory - WARNING - Worker is at 60% memory usage. Resuming worker. Process memory: 8.34 GiB -- Worker memory limit: 13.87 GiB
slice(19, 20, None) slice(20, 21, None) slice(21, 22, None) slice(22, 23, None) slice(23, 24, None) slice(24, 25, None) slice(25, 26, None) slice(26, 27, None) slice(27, 28, None) slice(28, 29, None) slice(29, 30, None) slice(30, 31, None) CPU times: user 8min 8s, sys: 1min 38s, total: 9min 47s Wall time: 49min 37s