| """" | |
| The orignal author: Alexer / #python.fi | |
| """ | |
| import opcode | |
| import dis | |
| import sys | |
| import multiprocessing |
| -- In pg_stat_statements, there is a problem: sometimes (quite often), it registers the same query twice (or even more). | |
| -- It's easy to check in your DB: | |
| -- | |
| -- with heh as ( | |
| -- select userid, dbid, query, count(*), array_agg(queryid) queryids | |
| -- from pg_stat_statements group by 1, 2, 3 having count(*) > 1 | |
| -- ) select left(query, 85) || '...', userid, dbid, count, queryids from heh; | |
| -- | |
| -- This query gives you "full picture", aggregating stats for each query-database-username ternary |
| import logging | |
| import boto3 | |
| from botocore.exceptions import ClientError, BotoCoreError | |
| import requests | |
| from requests import RequestException | |
| def get_instance_name(): | |
| try: |
This document describe how to start a jupyter session on a SLURM cluster GPU node and, optionnaly, using it from Google Collab.
Using google Collab is optional and can pose serious security risks, please carrefully read the Google local runtime documentation and ask your system administrator for permission before connecting Google Colab to a local server.