Adriel Santos ADCDS

## parallel_db.txt

Limitações MYSQL em relação ao paralismo de query{
    https://dba.stackexchange.com/questions/15146/using-multiple-cores-for-single-mysql-queries-on-debian
    https://dba.stackexchange.com/questions/5666/possible-to-make-mysql-use-more-than-one-core
    https://dba.stackexchange.com/questions/2918/about-single-threaded-versus-multithreaded-databases-performance/2948#2948
    https://dba.stackexchange.com/questions/2918/about-single-threaded-versus-multithreaded-databases-performance/2948#2948
    https://dba.stackexchange.com/questions/142416/mysql-to-use-all-cores-20-cores-i-have
}

Possiveis soluções para a limitação do MYSQL{

## lexico.L
%{
	int nLinha = 1;
%}

identificador	[a-zA-Z]([a-zA-Z0-9])*
numero	[0-9]+
espaco [ \t]+
novalinha [\n]

%x comentario

## boost_integer_sort_example.cpp

#include <string>
#include <iostream>
#include <boost/sort/spreadsort/spreadsort.hpp>

struct user
{
	uint32_t id;
	char* name;
};

## data.php
<?php

/*
 * Script:    DataTables server-side script for PHP and MySQL
 * Copyright: 2012 - John Becker, Beckersoft, Inc.
 * Copyright: 2010 - Allan Jardine
 * License:   GPL v2 or BSD (3-point)
 */

class TableData {

## index.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <title>Login</title>
</head>
<body>
<button id="login">Login</button>
<div id="fb-root"></div>
<script type="text/javascript" src="main.js"></script>

## kmeans.py
# Copyright Mathieu Blondel December 2011
# License: BSD 3 clause

import numpy as np
import pylab as pl

from sklearn.base import BaseEstimator
from sklearn.utils import check_random_state
from sklearn.cluster import MiniBatchKMeans
from sklearn.cluster import KMeans as KMeansGood

## kmeansExample.py
#############################################################################
# Full Imports

import math
import random

"""
This is a pure Python implementation of the K-Means Clustering algorithmn. The
original can be found here:
http://pandoricweb.tumblr.com/post/8646701677/python-implementation-of-the-k-means-clustering

## convert_to_string_map.cpp
#include <stdio.h>
#include <stdlib.h>
#include <map>
#include <functional>
#include <string>
#include <iostream>

template <typename T1, typename T2>
static std::map<std::string, std::string> convert_to_string_map(std::map<T1, T2> _map_in,
        std::function<std::pair<std::string, std::string>(T1, T2) > converter) {

## multiProcessingGraph.py
# https://pypi.python.org/pypi/Dijkstar
from dijkstar import Graph, find_path
from multiprocessing import Process, Manager
import collections

manager = Manager()
class GraphProxy(Graph):

	def __init__(self, data=None):
		# replaces default _data and _incoming attributes to a equivalent object (dict), but in shared memory

## jquery-datatables-webpack
Here's how to make jQuery DataTables work with npm and webpack. This is the simplest way I found to do it.
See the previous revision of this gist for a way to do it with forcing AMD to be disabled if you need that.

Install DT core: npm install datatables.net
Install a DT style: npm install datatables.net-dt

Then to initialize DT in your app, do this in your main entry point:

// you can use import or require
import dt from 'datatables.net';

	Limitações MYSQL em relação ao paralismo de query{
	https://dba.stackexchange.com/questions/15146/using-multiple-cores-for-single-mysql-queries-on-debian
	https://dba.stackexchange.com/questions/5666/possible-to-make-mysql-use-more-than-one-core
	https://dba.stackexchange.com/questions/2918/about-single-threaded-versus-multithreaded-databases-performance/2948#2948
	https://dba.stackexchange.com/questions/2918/about-single-threaded-versus-multithreaded-databases-performance/2948#2948
	https://dba.stackexchange.com/questions/142416/mysql-to-use-all-cores-20-cores-i-have
	}

	Possiveis soluções para a limitação do MYSQL{
	%{
	int nLinha = 1;
	%}

	identificador [a-zA-Z]([a-zA-Z0-9])*
	numero [0-9]+
	espaco [ \t]+
	novalinha [\n]

	%x comentario

	#include <string>
	#include <iostream>
	#include <boost/sort/spreadsort/spreadsort.hpp>

	struct user
	{
	uint32_t id;
	char* name;
	};
	<?php

	/*
	* Script: DataTables server-side script for PHP and MySQL
	* Copyright: 2012 - John Becker, Beckersoft, Inc.
	* Copyright: 2010 - Allan Jardine
	* License: GPL v2 or BSD (3-point)
	*/

	class TableData {
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8">
	<title>Login</title>
	</head>
	<body>
	<button id="login">Login</button>
	<div id="fb-root"></div>
	<script type="text/javascript" src="main.js"></script>
	# Copyright Mathieu Blondel December 2011
	# License: BSD 3 clause

	import numpy as np
	import pylab as pl

	from sklearn.base import BaseEstimator
	from sklearn.utils import check_random_state
	from sklearn.cluster import MiniBatchKMeans
	from sklearn.cluster import KMeans as KMeansGood
	#############################################################################
	# Full Imports

	import math
	import random

	"""
	This is a pure Python implementation of the K-Means Clustering algorithmn. The
	original can be found here:
	http://pandoricweb.tumblr.com/post/8646701677/python-implementation-of-the-k-means-clustering
	#include <stdio.h>
	#include <stdlib.h>
	#include <map>
	#include <functional>
	#include <string>
	#include <iostream>

	template <typename T1, typename T2>
	static std::map<std::string, std::string> convert_to_string_map(std::map<T1, T2> _map_in,
	std::function<std::pair<std::string, std::string>(T1, T2) > converter) {
	# https://pypi.python.org/pypi/Dijkstar
	from dijkstar import Graph, find_path
	from multiprocessing import Process, Manager
	import collections

	manager = Manager()
	class GraphProxy(Graph):

	def __init__(self, data=None):
	# replaces default _data and _incoming attributes to a equivalent object (dict), but in shared memory
	Here's how to make jQuery DataTables work with npm and webpack. This is the simplest way I found to do it.
	See the previous revision of this gist for a way to do it with forcing AMD to be disabled if you need that.

	Install DT core: npm install datatables.net
	Install a DT style: npm install datatables.net-dt

	Then to initialize DT in your app, do this in your main entry point:

	// you can use import or require
	import dt from 'datatables.net';