Gary Dusbabek gdusbabek

Blueflood Improvment Ideas

These are in no particular order. I add them as I think of them.

	# output messages into a rolling log file as well as stdout
	log4j.rootLogger=TRACE,stdout

	# stdout
	log4j.appender.stdout=org.apache.log4j.ConsoleAppender
	log4j.appender.stdout.Threshold=DEBUG
	log4j.appender.stdout.layout=org.apache.log4j.PatternLayout
	log4j.appender.stdout.layout.ConversionPattern=%5p %d{HH:mm:ss,SSS} [%t] %l %m%n

	# rolling log file

	#!/usr/bin/env python

	import re, sys

	STATUS_RE = re.compile(
	'\s+\[junit\] Tests run: [\d]+, Failures: ([\d]+), Errors: ([\d]+)')
	EXCEPT_RE = re.compile(
	'\s+\[junit\] (Exception in \|\tat \w+\|Caused by: )')

	RED = "\033[1;31m%s\033[0m"

	var async = require('async');

	function doSimpleConnect(callback) {

	var Connection = require('cassandra-client').Connection;

	// these are the connection parameters you need to connecto to Cassandra.
	var connectionOptions = {
	host: '127.0.0.1',
	port: 19170,

	<dependency>
	<groupId>com.rackspacecloud</groupId>
	<artifactId>service-registry-client</artifactId>
	<version>2.0.1-SNAPSHOT</version>
	</dependency>
	<dependency>
	<groupId>com.rackspacecloud</groupId>
	<artifactId>service-registry-curator</artifactId>
	<version>2.0.1-SNAPSHOT</version>
	</dependency>

	## Graphite local_settings.py
	# Edit this file to customize the default Graphite webapp settings
	#
	# Additional customizations to Django settings can be added to this file as well

	# import the other settings here.
	from graphite.settings import *

	#####################################
	# General Configuration #

	import com.codahale.metrics.JmxReporter;
	import com.codahale.metrics.MetricRegistry;
	import com.codahale.metrics.Timer;

	import java.util.Random;
	import java.util.concurrent.TimeUnit;
	import java.util.concurrent.locks.Lock;
	import java.util.concurrent.locks.ReentrantLock;

	public class RunAndCompare {

	import sys

	import numpy as np
	import matplotlib
	import matplotlib.pyplot as plt
	import csv
	import datetime


	matplotlib.rcParams.update({'font.size': 4})