Solved

Grouping query results based on time proximity for Facebook-like notification feeds

Posted on 2009-04-07
2
408 Views
Last Modified: 2012-05-06
I have a social networking site where I just started logging certain user actions to a table.

Actions such as when they update their mood, edit their profile and update new photos.

I want to integrate a sort of news feed to a user's profile where it will show these updates for users they've added as their favorites.

The issue I'm running into is that if a user updates their profile four times in a half an hour, I'd like to only show that as one update.

Same  goes for photos.  If a user adds four photos within an hour, I want that to group that as one item.

The structure for the update log (update_log) is as follows:
update_id (auto)
userid INT
update_type (1=profile update, 2=photo added, 3=mood updated)
pictureid INT (joins to userphotos table with file information)
mood_a INT (joins to lookuptable that holds first part of selectable mood)
mood_b INT (joins to lookuptable that holds second part of selectable mood)
mood_c INT (joins to lookuptable that holds third part of selectable mood)
update_time INT

Typical records for the three scenarios are as follows:
Profile update:
(auto), 1,  1, 0, 0, 0, 0, 1238598393
Photo added:
(auto), 1, 2, 10000, 0, 0, 0, 1238598393
Mood updated:
(auto), 1, 3, 0, 5, 10, 15, 1238598393

I'm pretty sure this can't be done with a query as I need the individual photo file information to display thumbnails.

What's the best way to organize and sort through this information in PHP?

My brain is failing me on this.

Below is the MySQL query I wrote to grab all the pertinent data I need to display this feed for updates in the past 48 hours and attached to this post is some sample data returned from that query,
SELECT l.update_id,
l.userid,
l.update_type,
t.description,
p.filename,
l.mood_a,
a.description AS mood_a_description,
l.mood_b,
b.description AS mood_b_description,
l.mood_c,
c.description AS mood_c_description,
l.update_time
FROM update_log l
JOIN update_types t
ON l.update_type = t.code
LEFT JOIN userphotos p
ON l.pictureid = p.pictureid
LEFT JOIN lookuptables a
ON l.mood_a = a.code AND
a.tableid = 'mood_a'
LEFT JOIN lookuptables b
ON l.mood_b = b.code AND
b.tableid = 'mood_b'
LEFT JOIN lookuptables c
ON l.mood_c = c.code AND
c.tableid = 'mood_c'
WHERE FROM_UNIXTIME(update_time) > now() - INTERVAL 48 HOUR
ORDER BY l.update_time DESC

Open in new window

testdata.txt
0
Comment
Question by:HarpuaFSB
2 Comments
 
LVL 11

Accepted Solution

by:
bansidhar earned 500 total points
ID: 24094375
Here is some Idea you can use.

Use
ORDER BY update_type.update_time DESC

here you will get all the records ordered by the type first and inside that ordered by time. Now you can loop through the records and add items to an array. So you can control which items goes to which list. Some Pseudo code:

$updates = array();
$last_hr=0;
$last_item='';
while ($row=mysql_fetch_assoc($result)){
   if ($row['update_time'] - $last_hr > $required_time_limit || $row['update_type'] != $last_item){
      $last_hr = $row['update_time'];
      $last_item = $row['update_type'];
   }
   $updates[$last_item][$last_hr][] = $row;
}

Don't expect this code to work off-the-shelf you have to improvise on this.
0
 

Author Comment

by:HarpuaFSB
ID: 24098306
Tweaking the code in your suggestion yielded me some good code that works great for profile and mood updates.

I get a nice list of profile updates per user that omit ones made within an hour of each other and mood updates that are made within a minute of each other (kind of like a flood protection).

However, I'm still trying to figure out how to handle photo additions (update_type = 2).

What I want to do is group all photo uploads per user that have been uploaded within an hour of each other to display as one "update" line item.

I'm thinking adding a record to the array that links to another array?

Any suggestions?

I've attached the current working code for mood and profile updates.
<?php
	$sql = "SELECT DISTINCT l.userid, ";
	$sql .= "u.displayname, ";
	$sql .= "l.update_type, ";
	$sql .= "t.description, ";
	$sql .= "p.pictureid, ";
	$sql .= "p.filename, ";
	$sql .= "p.albumid, ";
	$sql .= "l.mood_a, ";
	$sql .= "a.description AS mood_a_description, ";
	$sql .= "l.mood_b, ";
	$sql .= "b.description AS mood_b_description, ";
	$sql .= "l.mood_c, ";
	$sql .= "c.description AS mood_c_description, ";
	$sql .= "l.update_time ";
	$sql .= "FROM update_log l ";
	$sql .= "JOIN users u ";
	$sql .= "ON l.userid = u.userid ";
	$sql .= "JOIN update_types t ";
	$sql .= "ON l.update_type = t.code ";
	$sql .= "LEFT JOIN userphotos p ";
	$sql .= "ON l.pictureid = p.pictureid ";
	$sql .= "LEFT JOIN lookuptables a ";
	$sql .= "ON l.mood_a = a.code AND ";
	$sql .= "a.tableid = 'mood_a' ";
	$sql .= "LEFT JOIN lookuptables b ";
	$sql .= "ON l.mood_b = b.code AND ";
	$sql .= "b.tableid = 'mood_b' ";
	$sql .= "LEFT JOIN lookuptables c ";
	$sql .= "ON l.mood_c = c.code AND ";
	$sql .= "c.tableid = 'mood_c' ";
	$sql .= "WHERE l.userid IN (SELECT favoriteuserid FROM userfavorites WHERE userid = " . $_SESSION["userid"] . ") AND ";
	$sql .= "FROM_UNIXTIME(update_time) > now() - INTERVAL 48 HOUR ";
	$sql .= "ORDER BY l.update_type, ";
	$sql .= "l.userid, ";
	$sql .= "l.update_time DESC";
	$recordset = mysql_query($sql);
	$update_log = array();
	$profile_time_limit = 3600;
	$mood_time_limit = 60;
	$last_update_time = 0;
	$last_userid = 0;
	while ($row = mysql_fetch_assoc($recordset))
	{
		if ($row["update_type"] == 1)
		{
			if (($last_update_time - $row["update_time"]) / $profile_time_limit > 1 || ($last_update_time - $row["update_time"]) / $profile_time_limit < 0) 
				{ $update_log[] = $row;	}
			else if ($last_userid != $row["userid"])
				{ $update_log[] = $row;	}
		}
		else if ($row["update_type"] == 3)
		{ 
			if (($last_update_time - $row["update_time"] > $mood_time_limit) || ($last_update_time - $row["update_time"] < 0))
				{ $update_log[] = $row;	}
			else if ($last_userid != $row["userid"])
				{ $update_log[] = $row;	}
		}
		$last_update_time = $row["update_time"];
		$last_userid = $row["userid"];
	}
	usort($update_log, "sort_array");
?>
	<table>
		<tbody>
<?php
	// test dump of array contents
	$count = 0;
	for ($count = 0; $count < sizeof($update_log); $count++)
	{
?>
		<tr>
			<td><?php echo $update_log[$count]["userid"]; ?></td>
			<td><?php echo $update_log[$count]["displayname"]; ?></td>
			<td><?php echo $update_log[$count]["update_type"]; ?></td>
			<td><?php echo $update_log[$count]["description"]; ?></td>
			<td><?php echo $update_log[$count]["pictureid"]; ?></td>
			<td><?php echo $update_log[$count]["filename"]; ?></td>
			<td><?php echo $update_log[$count]["albumid"]; ?></td>
			<td><?php echo $update_log[$count]["mood_a"]; ?></td>
			<td><?php echo $update_log[$count]["mood_a_description"]; ?></td>
			<td><?php echo $update_log[$count]["mood_b"]; ?></td>
			<td><?php echo $update_log[$count]["mood_b_description"]; ?></td>
			<td><?php echo $update_log[$count]["mood_c"]; ?></td>
			<td><?php echo $update_log[$count]["mood_c_description"]; ?></td>
			<td><?php echo $update_log[$count]["update_time"]; ?></td>
			<td><?php echo date("Y-m-d H:i:s", $update_log[$count]["update_time"]); ?></td>
		</tr>
<?php
	}
?>
		</tbody>
	</table>
<?php
	function sort_array($x, $y)
	{
		if ($x["update_time"] == $y["update_time"])
			{ return 0; }
		else if ($x["update_time"] < $y["update_time"])
			{ return 1; }
		else
			{ return -1; }
	}
?>

Open in new window

0

Featured Post

Microsoft Certification Exam 74-409

Veeam® is happy to provide the Microsoft community with a study guide prepared by MVP and MCT, Orin Thomas. This guide will take you through each of the exam objectives, helping you to prepare for and pass the examination.

Question has a verified solution.

If you are experiencing a similar issue, please ask a related question

Suggested Solutions

Using SQL Scripts we can save all the SQL queries as files that we use very frequently on our database later point of time. This is one of the feature present under SQL Workshop in Oracle Application Express.
Since pre-biblical times, humans have sought ways to keep secrets, and share the secrets selectively.  This article explores the ways PHP can be used to hide and encrypt information.
Video by: Steve
Using examples as well as descriptions, step through each of the common simple join types, explaining differences in syntax, differences in expected outputs and showing how the queries run along with the actual outputs based upon a simple set of dem…
The viewer will learn how to dynamically set the form action using jQuery.

810 members asked questions and received personalized solutions in the past 7 days.

Join the community of 500,000 technology professionals and ask your questions.

Join & Ask a Question