There is a lot of chatter about wanting the plugin creator to update bp-events to work with Buddypress version 1.2, and so far it hasn’t happened, however, this guy has ported it for us so kindly:
http://codewarrior.getpaidfrom.us/2010/04/21/buddypress-event-plugin-for-1-2/
I use this WordPress plugin, vipers-video-quicktag, in a couple sites I maintain. I use it to display FLV video. I’ve found if I create .mp4 videos with the H.262 video and AAC audio codecs, it’ll play in the Flash player, as well as on iPhone, iPad and iPod. This is neat, a single video format that works on all 3.
Problem is, with vipers-video-quicktag, it doesn’t detect iPhone/iPod/iPad on the Flash video option and just tries to display it with the Flash player, which we all know doesn’t work on iPhone/iPod/iPad.
The trick is to detect iPhone/iPod/iPad and instead of putting in the Flash video, instead put in a HTML5 Video tag.
WordPress: http://wordpress.org/extend/plugins/vipers-video-quicktags/
Author’s Page: http://www.viper007bond.com/wordpress-plugins/vipers-video-quicktags/
If you know how to read a diff file, here’s how I hacked it in. Remember, this is only going to work universally, if your videos are .mp4 with H.264/AAC encoding.
# diff -Naur vipers-video-quicktags.php.orig vipers-video-quicktags.php
--- vipers-video-quicktags.php.orig 2010-05-23 22:15:11.000000000 -0700
+++ vipers-video-quicktags.php 2010-05-23 22:19:22.000000000 -0700
@@ -3663,7 +3663,9 @@
//$content .= "// <![CDATA[\n";
foreach ( $this->swfobjects as $objectid => $embed ) {
- $content .= ' swfobject.embedSWF("' . htmlspecialchars( $embed['url'] ) . '", "' . $objectid . '", "' . $embed['width'] . '", "' . $embed['height'] . '", "9", vvqexpressinstall, ';
+# dkhack, replace this line with HTML5 Video tag when it's iPhone, iPad, iPod:
+ # $content .= ' swfobject.embedSWF("' . htmlspecialchars( $embed['url'] ) . '", "' . $objectid . '", "' . $embed['width'] . '", "' . $embed['height'] . '", "9", vvqexpressinstall, ';
+ $content .= 'if ((navigator.userAgent.indexOf(\'iPhone\') != -1) || (navigator.userAgent.indexOf(\'iPod\') != -1) || (navigator.userAgent.indexOf(\'iPad\') != -1)) document.getElementById("'.$objectid.'").innerHTML = \'<video width="'.$embed['width'] .'" height="'.$embed['height'].'" poster="'.preg_replace("/\.[^\.]{3}$/", ".jpg", $embed['flashvars']['file']).'" src="'. $embed['flashvars']['file'].'" controls />\'; else swfobject.embedSWF("' . htmlspecialchars( $embed['url'] ) . '", "' . $objectid . '", "' . $embed['width'] . '", "' . $embed['height'] . '", "9", vvqexpressinstall, ';
if ( empty($embed['flashvars']) || !is_array($embed['flashvars']) ) {
$content .= 'vvqflashvars';
Basically, what it’s doing is detecting iPhone/iPod/iPad in JavaScript and writing this:
<video width="'710" height="400" poster="http://host.tld/path/to/video.jpg" src="http://host.tld/path/to/video.mp4" controls />
One more thing to note…. When I tested this with my iPad, it didn’t work at first. Something is wrong with the iPad – it doesn’t want to see the movie when it’s at it’s default location in WordPress after upload. Is there a 300 level redirect in there somewhere that iPad doesn’t like? Maybe something with .htaccess. Workaround: What fixed it for me was creating a new directory in my DOCUMENT_ROOT called “videos” and then I put symlinks in there to the physical files, and then used these http://host.tld/videos/my_video.mp4 URLs and it works fine.
Dave.
Putting this up as an example of how to do a share link. It’s a share link to http://goshinkarate.com/intro_offer.html (my kids take Karate here – Great program!)
The code for this is:
<a name="fb_share" type="button" share_url="http://goshinkarate.com/intro_offer.html" href="http://www.facebook.com/sharer.php">Share</a><script src="http://static.ak.fbcdn.net/connect.php/js/FB.Share" type="text/javascript"></script>
You can put this code on your site and let your visitors share the Goshin Karate introductory special with their friends!
Amendment….
Let’s see what the Go Daddy Social Visibility product ad looks like:
<a name="fb_share" type="button" share_url="http://www.godaddy.com/business/social-networking.aspx" href="http://www.facebook.com/sharer.php">Share</a><script src="http://static.ak.fbcdn.net/connect.php/js/FB.Share" type="text/javascript"></script>
bp-events version 1.1 on top of buddypress 1.1.3 isn’t working for invites, it’s broken. After hours and hours of combing the web looking for a solution, I couldn’t find one. I figured out a workaround.
There were several other places online that I found other complain about this same problem. As far as I can tell, nobody has published any solution or workaround. Until now. I have a workaround – more like a hack, but it works!
I don’t know the WordPress/BuddyPress framework, but I’m pretty skilled at PHP, and can debug by following the HTTP request, and walk through the codebase. I used tcpflow to watch the HTTP requests and responses, and walked the codebase by dropping print lines in appropriate places to see how the request traversed the code.
Here’s what I found out. When bp-events gets to the “Send Invites” section, when you check a checkbox of a friend, it invokes an AJAX call, via JavaScript, to wp-load.php. Well, what it sends to the server is action=groups_invite_user, friend_id=
Ok, so the reason for this is that bp-events uses the same api as bp groups. It borrows from bp groups to draw your “Select Friends” widget. I have not found the real root cause. What it’s supposed to do is send an action=events_invite_user and should also send the event_id, I speculate. I haven’t been able to figure out how to craft an HTTP request to wp-load.php that will perform the intended behavior. I do, however, have a workaround that fixes the problem. Keep reading if you want a workaround hack that fixes this problem.
Logging this here for easy fetching later.
#!/usr/bin/expect
set timeout 30
spawn ssh USERNAME@HOSTNAME
expect_after eof { exit 0 }
## interact with SSH
expect {
"yes/no" { send "yes\r" }
-re ".assword:" { send "PASSWORD\r" }
}
expect "> " { send "showconfig\r" }
expect "> " { send "Y\r" }
expect "Press Any Key For More" { send "\r" }
set timeout 2
while 1 {
expect {
"Press Any Key For More" { send "\r" }
timeout break
}
}
expect "> " { send "exit\r" }
You may have seen article, Hadoop Example, AccessLogCountByHourOfDay. This is a distributed computing solution, using Hadoop. The purpose of this article is to dive into the theory behind this.
To understand the power of distributed computing, we need to step back and understand the problem. First we’ll look at a command line java program that will process each http log file, one file at a time, one line at a time, until done. To speed up the job, we’ll then look at another approach: multi-threaded; we should be able to get the job done faster if we break the job up into a set of sub tasks and run them in parallel. Then, we’ll come to Hadoop, distributed computing. Same concept of breaking the job up into a set of sub tasks, but rather than running with one server, we’ll run on multiple servers in parallel.
At first you’d think that Hadoop would be the fastest, but in our basic example, you’ll see that Hadoop takes isn’t significantly faster. Why? The Hadoop overhead of scheduling the job and tracking the tasks is slowing us down. In order to see the power of Hadoop, we need much larger data sets. Think about our single server approach for a minute. As we ramp up the size and/or number of files to process, there is going to be a point where the server will hit resource limitations (cpu, ram, disk). If we have 4 threads making use of 4 cores of our CPU effectively, we may be able to do a job 4 times faster than single threaded. But, if we have a terabyte of data to process and it takes say 100 second per GB, it’s going to take 100,000 seconds to finish (that’s more than 1 day). With Hadoop, we can scale out horizontally. What if we had a 1000 node Hadoop cluster. Suddenly the overhead of scheduling the job and tracking the tasks is minuscule in comparison to the whole job. The whole job may complete in 100 seconds or less! We went from over a day to less than 2 minutes. Wow.
Please note: the single thread and multi-threaded examples in this article are not using the Map/Reduce algorithm. This is intentional. I’m trying to demonstrate the evolution of thought. When we think about how to solve the problem, the first thing that comes to mind is to walk through the files, one line at a time, and accumulate the result. Then, we realize we could split the job up into threads and gain some speed. The last evolution is is the Map/Reduce algorithm across a distributed computing platform.
Let’s dive in….
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Inspired by an article written by Tom White, AWS author and developer:
“Running Hadoop MapReduce on Amazon EC2 and Amazon S3”
Instead of minute of the week, this one does by Hour Of The Day. I just find this more interesting than the minute of the week that’s most popular. The output is:
00\t
…
23\t
The main reason for writing this, however, is to provide a working example that will compile. I found a number of problems in the original post.
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Installed hadoop on a VM, and needed to set the java heap size, -Xmx1000m, lower than the default 1000 to get it to work. I set the HADOOP_HEAPSIZE var in the conf/hadoop-env.sh dir to the lower value, but hadoop continued to spit out this error:
# hadoop -help
Could not create the Java virtual machine.
Exception in thread "main" java.lang.NoClassDefFoundError: Could_not_reserve_enough_space_for_object_heap
Caused by: java.lang.ClassNotFoundException: Could_not_reserve_enough_space_for_object_heap
at java.net.URLClassLoader$1.run(URLClassLoader.java:200)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:188)
at java.lang.ClassLoader.loadClass(ClassLoader.java:307)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
at java.lang.ClassLoader.loadClass(ClassLoader.java:252)
at java.lang.ClassLoader.loadClassInternal(ClassLoader.java:320)
Could not find the main class: Could_not_reserve_enough_space_for_object_heap. Program will exit.
Didn’t matter what I set the HADOOP_MAXHEAP to, the problem persisted. I never did find the answer online, so figured I do the world a favor today and make a note about how to fix it. Maybe I’ll save someone else the 2 hours it took me to figure this out!
THE SOLUTION:
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