DaisukeMiyamoto

####################################################################
# Create compute environment and job queue for AWS Batch with Boto3
# Daisuke Miyamoto
# 20200330
#

import boto3
import botocore.waiter
from botocore.exceptions import WaiterError
import time

blaylockbk

import multiprocessing
from multiprocessing.dummy import Pool as ThreadPool

import numpy as np


def my_multipro(items, func, max_cpus=12):
    """Do an embarrassingly parallel task using multiprocessing.

    Use this for CPU bound tasks.

eldondevcg

# IF YOU INCUR HUGE COSTS WITH THIS OR IT BREAKS DON'T BLAME ME License

# This is a throw-away script I wrote to pull the json events for all of the streams from a cloudwatch log
# For some reason, the naive way to do vpc network logging does logging to different streams in a cloudwatch
# log based on interface.
# Great for diagnosing lots of things, and generating verbose logs, but for the broad-stroke analysis I was doing,
# all I really wanted was the basic data. This would have been easier if I had logged to s3, but I did not see a
# way to do that in 2 clicks.

group_name = 'CHANGEME'

Zearin

NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

---

Q: How can I make a chain of function decorators in Python?

---

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

rgreenjr

-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%'