I have a large MongoDB database, since trying count document make it fall, I needed to make a function for this:
Query is:
M_logs[from]
.find()
.select('referer')
.where('time')
.gt(lower_bound)
.lt(upper_bound);
Which give me (reduced, real data are >1k documents):
[ { _id: 53db8f924a1cb7d34a0001e3, referer: '' },
{ _id: 53dbe3ef4a1cb7655b008f4d, referer: '' },
{ _id: 53dbe3ef4a1cb7655b008f4e, referer: '' },
{ _id: 53dbe3ef4a1cb7655b008f4f,
referer: 'http://www.url1.com'
{ _id: 53dbe3ef4a1cb7655b008f50,
referer: 'http://url1.com' },
{ _id: 53dbe3ef4a1cb7655b008f51,
referer: 'http://www.url1.com' }
{ _id: 53dbe3ef4a1cb7655b008f52,
referer: 'http://www.url1.com' },
{ _id: 53dbe3ef4a1cb7655b008f53,
referer: 'http://www.url1.com'
{ _id: 53ed5bc64a1cb7f78c00361e,
referer: 'http://url1.com' },
{ _id: 53ef80384a1cb7019c0000c5,
referer: 'http://url2'}
]
As you can see, some logs are buggy and empty, some have a url prefixed with www., some not. As I need to show how many visitors each url gave us, I need to parse them to get only 'url1.com', 'url2.com', and ignore empty fields. And count how many time each appear.
Code is:
function referer_process(result, referer, index, j, callback) {
var ur,
host;
result.forEach(function (element) {
ur = url.parse(element.referer, false, false);
if (ur.host) {
if (ur.host.search('www.') === 0) {
host = ur.host.substring(4);
} else {
host = ur.host;
}
if (!index[host]) {
console.log('.' + host + '. ' + host.length);
index[host] = j;
j = j + 1;
referer[index[host]] = {name: host, y: 1};
} else {
referer[index[host]].y = referer[index[host]].y + 1;
}
}
});
callback(referer, index, j);
}
Problem arise when we see the result, if result
have the first two rows with the same referer (once parsed), one of them is assigned to a different count, but everything else goes fine.
Example:
url1.com: 5
url1.com: 1
url2.com: 1
I don t understand how it can happen, forEach is synchronous, so the index must have been created when it encounter url1 for the second time!
How can this happen? Where can I search for a solution?
What I would suggest you to do is to use mapReduce in mongo shell instead for these kinds of problem. Here's how you use it:
TIME_UPPER_BOUND = ...
TIME_LOWER_BOUND = ...
var map = function() {
var host = this.referer;
if (host && host.substring(0, 4) == 'http') {
host = host.substring(7);
}
if (host && host.substring(0, 3) == 'www') {
host = host.substring(4);
}
emit(host, 1);
};
var reduce = function(key, values) {
return Array.sum(values);
};
var option = {
query: {time: {$gt: TIME_LOWER_BOUND, $lt: TIME_UPPER_BOUND}},
out: {inline: 1},
};
db.refers.mapReduce(map, reduce, option).results;
With the data you provided above, this will output:
[
{
"_id" : "",
"value" : 3
},
{
"_id" : "url1.com",
"value" : 6
},
{
"_id" : "url2",
"value" : 1
}
]
Pretty clean. Remember to replace refers
with your collection name above: db.<collection>.mapReduce
. You can find more information on mapReduce here: http://docs.mongodb.org/manual/core/map-reduce/