These commands are good as of 2011-07-27.
App store http://itunes.apple.com/us/app/xcode/id448457090?mt=12) The download/install takes awhile so start it first. When it finishes downloading you will still need to run it to complete installation.
<?php | |
/** | |
* SplClassLoader implementation that implements the technical interoperability | |
* standards for PHP 5.3 namespaces and class names. | |
* | |
* http://groups.google.com/group/php-standards/web/final-proposal | |
* | |
* // Example which loads classes for the Doctrine Common package in the | |
* // Doctrine\Common namespace. |
These commands are good as of 2011-07-27.
App store http://itunes.apple.com/us/app/xcode/id448457090?mt=12) The download/install takes awhile so start it first. When it finishes downloading you will still need to run it to complete installation.
By default when Nginx starts receiving a response from a FastCGI backend (such as PHP-FPM) it will buffer the response in memory before delivering it to the client. Any response larger than the set buffer size is saved to a temporary file on disk. This process is also explained at the Nginx ngx_http_fastcgi_module page document page.
Since disk is slow and memory is fast the aim is to get as many FastCGI responses passing through memory only. On the flip side we don't want to set an excessively large buffer as they are created and sized on a per request basis (it's not shared).
The related Nginx options are:
fastcgi_buffering
appeared in Nginx 1.5.6 (1.6.0 stable) and can be used to turn buffering completely on/off. It's on by default.fastcgi_buffer_size
](http://nginx.org/en/docs/http/ngx_htThis document is research for the selection of a communication platform for robot-net.
The purpose of this component is to enable rapid, reliable, and elegant communication between the various nodes of the network, including controllers, sensors, and actuators (robot drivers). It will act as the core of robot-net to create a standardized infrastructure for robot control.
Requirements:
import itertools as it | |
# alpha step 1 | |
def activities(traces): | |
a = set() | |
for trace in traces: | |
a |= set(trace) | |
return a | |
# alpha step 2 |
There are a lot of ways to serve a Go HTTP application. The best choices depend on each use case. Currently nginx looks to be the standard web server for every new project even though there are other great web servers as well. However, how much is the overhead of serving a Go application behind an nginx server? Do we need some nginx features (vhosts, load balancing, cache, etc) or can you serve directly from Go? If you need nginx, what is the fastest connection mechanism? This are the kind of questions I'm intended to answer here. The purpose of this benchmark is not to tell that Go is faster or slower than nginx. That would be stupid.
So, these are the different settings we are going to compare: