Pear for 1.4, mage for 1.5. File downloaded into /downloader/.cache/community/
./pear download magento-community/Shipping_Agent
./mage download community Shipping_Agent
SET @entityid = '3'; | |
SELECT ea.attribute_id, ea.attribute_code, eav.value AS 'value', 'varchar' AS 'type' | |
FROM catalog_category_entity e | |
JOIN catalog_category_entity_varchar eav | |
ON e.entity_id = eav.entity_id | |
JOIN eav_attribute ea | |
ON eav.attribute_id = ea.attribute_id | |
WHERE e.entity_id = @entityid | |
UNION |
<!DOCTYPE html> | |
<html> | |
<head> | |
<meta charset="utf-8" /> | |
<title>XXX</title> | |
<!-- CSS --> | |
<link rel="stylesheet" href="http://code.jquery.com/mobile/1.0a3/jquery.mobile-1.0a3.min.css" /> | |
<link rel="apple-touch-icon" href="images/XXX.png"/> | |
<link rel="apple-touch-startup-image" href="images/XXX-home-screen.png" /> |
function hideAddressBar() | |
{ | |
if(!window.location.hash) | |
{ | |
if(document.height < window.outerHeight) | |
{ | |
document.body.style.height = (window.outerHeight + 50) + 'px'; | |
} | |
setTimeout( function(){ window.scrollTo(0, 1); }, 50 ); |
Data visualization in one of three most important steps in data mining (https://github.com/entaroadun/hnpickup#readme). Often times, it's impossible to understand data without proper visualization. I went looking for great tools to do that.
Two website list recent JS visualization frameworks:
Most of them are available on Github. My three favorite:
#301 Redirects for .htaccess | |
#Redirect a single page: | |
Redirect 301 /pagename.php http://www.domain.com/pagename.html | |
#Redirect an entire site: | |
Redirect 301 / http://www.domain.com/ | |
#Redirect an entire site to a sub folder | |
Redirect 301 / http://www.domain.com/subfolder/ |
<!doctype html> | |
<!-- http://taylor.fausak.me/2015/01/27/ios-8-web-apps/ --> | |
<html> | |
<head> | |
<title>iOS 8 web app</title> | |
<!-- CONFIGURATION --> |
SELECT b.email, c.value AS name, a.updated_at, d.added_at, d.product_id, e.name, SUM(g.qty_ordered) AS purchased | |
FROM `wishlist` AS a | |
INNER JOIN customer_entity AS b ON a.customer_id = b.entity_id | |
INNER JOIN customer_entity_varchar AS c ON a.customer_id = c.entity_id AND c.attribute_id = (SELECT attribute_id FROM eav_attribute WHERE attribute_code = 'firstname' AND entity_type_id = b.entity_type_id) | |
INNER JOIN wishlist_item AS d ON a.wishlist_id = d.wishlist_id | |
INNER JOIN catalog_product_flat_1 AS e ON d.product_id = e.entity_id | |
LEFT JOIN sales_flat_order AS f ON f.customer_email = b.email | |
LEFT JOIN sales_flat_order_item AS g ON (f.entity_id = g.order_id AND g.sku LIKE CONCAT(e.sku,'%') AND g.product_type = 'simple') | |
GROUP BY b.email, c.value, a.updated_at, d.added_at, d.product_id, e.name |
{ | |
"AWSTemplateFormatVersion": "2010-09-09", | |
"Description": "CloudFormation Sample Template for Node.js application. **WARNING** This template creates an Amazon EC2 instance. You will be billed for the AWS resources used if you create a stack from this template.", | |
"Parameters": { | |
"InstanceType": { | |
"Description": "EC2 instance type", | |
"Type": "String", | |
"Default": "t1.micro", |