MichaelSimons

Retrieving Docker Image Sizes

There are two metrics that are important to consider when discussing the size of Docker images.

1. Compressed size - This is often referred to as the wire size. This affects how fast/slow images can be pulled from a registry. This impacts the first run experience on machines where images are not cached.
2. Uncompressed size - This is often referred to as the size on disk. This affects how much local storage is required to support your Docker workloads.

The example commands shown below will work on Windows, MacOS, and Linux.

How to Measure the Compressed Size

oinopion

-- Create a group
CREATE ROLE readaccess;

-- Grant access to existing tables
GRANT USAGE ON SCHEMA public TO readaccess;
GRANT SELECT ON ALL TABLES IN SCHEMA public TO readaccess;

-- Grant access to future tables
ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO readaccess;

alq666

  0. pxname [LFBS]: proxy name
  1. svname [LFBS]: service name (FRONTEND for frontend, BACKEND for backend,
     any name for server/listener)
  2. qcur [..BS]: current queued requests. For the backend this reports the
     number queued without a server assigned.
  3. qmax [..BS]: max value of qcur
  4. scur [LFBS]: current sessions
  5. smax [LFBS]: max sessions
  6. slim [LFBS]: configured session limit
  7. stot [LFBS]: cumulative number of connections

snorfalorpagus

Using distutils and build_clib to build a C library

This repository demonstrates how to build a C library that is included in the module distribution.

To build the C library:

python setup.py build_clib

timlinux

# coding=utf-8

# A simple demonstration of to generate a PDF using a QGIS project
# and a QGIS layout template.
#
# This code is public domain, use if for any purpose you see fit.
# Tim Sutton 2015

import sys
from qgis.core import (

clavery

import logging
import time
from functools import wraps

from flask import request, jsonify
import redis

r = redis.StrictRedis(host='localhost', port=6379, db=0)
logger = logging.getLogger(__name__)

tonyseek

Run with Python:

pip-2.7 install cffi
PYTHON=python2.7 sh go.sh

Run with PyPy:

pip-pypy install cffi
PYTHON=pypy sh go.sh

dan-blanchard

For ETS's SKLL project, we found out the hard way that Travis-CI's support for numpy and scipy is pretty abysmal. There are pre-installed versions of numpy for some versions of Python, but those are seriously out of date, and scipy is not there are at all. The two most popular approaches for working around this are to (1) build everything from scratch, or (2) use apt-get to install more recent (but still out of date) versions of numpy and scipy. Both of these approaches lead to longer build times, and with the second approach, you still don't have the most recent versions of anything. To circumvent these issues, we've switched to using Miniconda (Anaconda's lightweight cousin) to install everything.

A template for installing a simple Python package that relies on numpy and scipy using Miniconda is provided below. Since it's a common s

miguelgrinberg

#!flask/bin/python
from flask import Flask, jsonify, abort, request, make_response, url_for
from flask_httpauth import HTTPBasicAuth

app = Flask(__name__, static_url_path = "")
auth = HTTPBasicAuth()

@auth.get_password
def get_password(username):
    if username == 'miguel':

acrosby

from rtree import index
from random import random
from datetime import datetime

timer = datetime.now()

# Create 10,000,000 random numbers between 0 and 1
rands = [random() for i in range(10000000)] 

# Function required to bulk load the random points into the index