Marco Montagna mmontagna

## 0_reuse_code.js
// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

## gist:32e2053425326947976bb63c5e66928d
from gcloud import storage
import bson
import StringIO
import csv
import gzip
import time
import numpy
from multiprocessing import Process


## benchmark_storage_formats.py
import bson
import json
import random
import time
import datetime
import pandas as pd
import numpy
import os, sys
import csv

## P

def scope():
  pv = [0]
  def actuate(x):
         pv[0] += x
  def read():
         return pv[0]
  return actuate, read


## loggly-format.conf
$template LogglyFormat,"<%pri%>%protocol-version% %timestamp:::date-rfc3339% %HOSTNAME% %app-name% %procid% %msgid% [<token>@<port> tag=\"%syslogtag:R,ERE,1,ZERO,0:docker\/([^[]+)\[--end%\"] %msg%\n"

## memusg
#!/usr/bin/env bash
# memusg -- Measure memory usage of processes
# Usage: memusg COMMAND [ARGS]...
#
# Author: Jaeho Shin <netj@sparcs.org>
# Created: 2010-08-16
############################################################################
# Copyright 2010 Jaeho Shin.                                               #
#                                                                          #
# Licensed under the Apache License, Version 2.0 (the "License");          #

## kill redshift connections to db.sql
 select pg_terminate_backend(procpid) from pg_stat_activity where datname='data';

## ruby alias methods


class A
  class << self
    def set_opt
      self.instance_eval do
        define_method(:foo) do
          puts "wrapped!"
          super()
          puts "end wrap"

## redis_usage.py
#!/usr/bin/env python

# production friendly
# slow if there are too many keys but the script will print partial outputs
# usage is an approximation for complex objects

import math
import redis
import urlparse
import os

## Postgres - Find Columns which are nearing capacity.sql
DO $$

DECLARE

sequence text;
columntype text;
warning_threshold bigint;
result bigint;
alerts text[];
	// Use Gists to store code you would like to remember later on
	console.log(window); // log the "window" object to the console
	from gcloud import storage
	import bson
	import StringIO
	import csv
	import gzip
	import time
	import numpy
	from multiprocessing import Process
	import bson
	import json
	import random
	import time
	import datetime
	import pandas as pd
	import numpy
	import os, sys
	import csv

	def scope():
	pv = [0]
	def actuate(x):
	pv[0] += x
	def read():
	return pv[0]
	return actuate, read
	#!/usr/bin/env bash
	# memusg -- Measure memory usage of processes
	# Usage: memusg COMMAND [ARGS]...
	#
	# Author: Jaeho Shin <netj@sparcs.org>
	# Created: 2010-08-16
	############################################################################
	# Copyright 2010 Jaeho Shin. #
	# #
	# Licensed under the Apache License, Version 2.0 (the "License"); #


	class A
	class << self
	def set_opt
	self.instance_eval do
	define_method(:foo) do
	puts "wrapped!"
	super()
	puts "end wrap"
	#!/usr/bin/env python

	# production friendly
	# slow if there are too many keys but the script will print partial outputs
	# usage is an approximation for complex objects

	import math
	import redis
	import urlparse
	import os
	DO $$

	DECLARE

	sequence text;
	columntype text;
	warning_threshold bigint;
	result bigint;
	alerts text[];