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<style type="text/css"> | |
#myAnimation { | |
position: absolute; | |
} | |
</style> | |
<html> | |
<body onclick="GetPositionForClick(event)" onmousemove="GetPositionForMove(event)"> | |
<span style="width: 65%; float: left"> | |
<table style="width: 100%"> | |
<tr style="height: 50px;"> |
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var ControllerName = (function () { | |
function ControllerName($rootScope, $http, $stateParams) { | |
$http.get("http://YOUR URL AND FILE NAME.php?Id=" + $stateParams.id) | |
.then(function (response) { | |
$rootScope.dataArray = response.data; | |
$rootScope.id = $stateParams.id; | |
}); | |
} | |
return ControllerName; | |
}()); |
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// LastPageNumber => total pages | |
// PageIndex => selected page | |
function Pagination($PageIndex, $LastPageNumber) | |
{ | |
$ReturnData = ""; | |
if( 1 != (int)$PageIndex ) | |
{ | |
$ReturnData = "<li class='paginate_button previous'>"; | |
$ReturnData = $ReturnData . "<a href='#' aria-controls='datatable-checkbox' data-dt-idx='" . (string)($PageIndex - 1) . "' tabindex='0'>"; |
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var NMArray = new Array(); | |
function CrtSdk(){ | |
var BorderColor = ""; | |
var Counter = 0; | |
var Data = "<table style='width: 40%; margin: auto'>"; | |
for(var i = 1; i < 10; ++i){ | |
Data = Data + "<tr>"; | |
for(var j = 1; j < 10; ++j){ | |
if( j < 4 && i < 4 ) | |
BorderColor = "red"; |
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/* **************************************************** */ | |
/* ***************** First Controller ***************** */ | |
/* **************************************************** */ | |
<?php | |
namespace App\Http\Controllers; | |
use Illuminate\Http\Request; | |
use App\Http\Requests; | |
use App\Http\Controllers\Controller; |
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First Step | |
- Terminal | |
- composer require "laravelcollective/html":"^5.2.0" ( go to project directory by cd ) | |
---------------------------- | |
Second Step | |
---------------------------- | |
- App Folder Update => config/app.php | |
- 'providers' => [ | |
. |
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On Windows Cmd. | |
Note : If you want to directory transfer, you have to use -r parameter. | |
> pscp -r [directory_path] user@hostname:[linux_path] | |
. | |
.. | |
... | |
And | |
... | |
.. | |
. |
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.... | |
... | |
.. | |
apt-get install apache2 | |
control service | |
------------------------------ | |
service apache2 status | |
**** |
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Java ile yazılmış açık kaynak kodlu bir kütüphane olan Hadoop ile büyük veriler üzerinde çalışmalar yapılabilmektedir. | |
Bu makine birden fazla makine üzerinde verileri saklayıp işlemektedir. | |
Hadoop büyük verileri HDFS sistemi ile saklamaktadır. İlk olarak sisteme veriler yüklenirken bloklara ayrılmaktadır. | |
Bloklara ayrılan veriler Hadoop Cluster üzerinden farklı düğümlere (node) yada farklı makinalara dağılmaktadır. | |
Bu dağıtma işleminde bloklanmış veriler çoğullanmış bir şekilde yani parçalanmış düğümler örnek vermek gerekirse 3. ve 8. düğümde | |
de bulunabilmektedir. Burada ki amaç herhangi bir beklenmedik durumda veri kaybının yaşanmamasıdır. | |
Hadoop framework büyük verileri paralel olarak işlemektedir. Bu işlem MapReduce ile yapılmaktadır. |
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Hadoop,Pig,Hive,Oozie ve Spark gibi kütüphaneleri içerinde barındıran bir sanal ortam : Cloudera QuickStarts CDH 5.x. | |
Bu sanal ortamı VirtualBox üzerinde kuracağız. |
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