Wade Deng no7dw

⚠️ This is not maintained. Feel free to check comments and/or forks for more current options.

Background

This was created years ago; at the time I'd been a Shibboleth admin for nearly a decade but we needed something that could handle OIDC/OAuth and that explicitly supported OpenJDK. After a lot of investigation, I really liked Keycloak/Red Hat Single Sign-On. More details here: Gluu vs keycloack vs wso2 identity management

Comparison

(Items in bold indicate possible concerns)

XGROUP CREATE <key> <groupname> <id or $>
XGROUP SETID <key> <id or $>
XGROUP DELGROUP <key> <groupname>
XGROUP DELCONSUMER <key> <consumername>
XPENDING <key> [<start> <stop>]
XCLAIM <key> <group-name> <consumer-name> <min-idle-time> <ID-1> <ID-2> ...
XACK <key> <ID-1> <ID-2> ...
XREAD-GROUP (wrapper for XREAD that accepts GROUP and CONSUMER options)
XINFO [CONSUMERS|GROUPS|STREAM|...]. STREAM is the default

Install MySQL on macOS Sierra

This procedure explains how to install MySQL using Homebrew on macOS Sierra 10.12

Install Homebrew

Installing Homebrew is effortless, open Terminal and enter :
$ /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
Note: Homebrew will download and install Command Line Tools for Xcode 8.0 as part of the installation process.

Install MySQL

At this time of writing, Homebrew has MySQL version 5.7.15 as default formulae in its main repository :

String Clustering with Python (and C)

I became interested in string clustering through developing fpos, a set of Python scripts for graphing my spending habits. In a clear failure of research I missed the existance of libraries like:

difflib
python-levenshtein, and

#Container Resource Allocation Options in docker-run

now see: https://docs.docker.com/engine/reference/run/#runtime-constraints-on-resources

You have various options for controlling resources (cpu, memory, disk) in docker. These are principally via the docker-run command options.

##Dynamic CPU Allocation -c, --cpu-shares=0
CPU shares (relative weight, specify some numeric value which is used to allocate relative cpu share)

	WITH double_entry_book AS (
	-- debits
	SELECT
	array_to_string(inputs.addresses, ",") as address
	, inputs.type
	, -inputs.value as value
	FROM `bigquery-public-data.crypto_bitcoin.inputs` as inputs

	UNION ALL

	import plotly.plotly as py
	from plotly import tools
	from plotly.graph_objs import *
	from plotly.offline import plot
	from numpy import *

	# Make a gradient pattern of 12 colors.
	N = 12
	colors = ['hsl('+str(h)+',50%'+',50%)' for h in linspace(0, 360, N)]

	#!/usr/bin/env python
	# -- coding: utf-8 --

	"""
	Remove output from existing Jupyter Notebooks.
	Modified from remove_output by Minrk, damianavila, gabraganca.

	References:
	[0]: https://github.com/jupyter/nbformat
	[1]: http://nbformat.readthedocs.org/en/latest/index.html

	/* Stock GA code */

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