RedBeard0531

function( key , values ){
  var confidence_threshold = 0.0
  var total = 0
  var sc = 0.0
  var cats = []
  var links = []
  for ( var i=0; i<values.length; i++ ) {
    total += values[i].count
    sc += (values[i].score || 0)
    links.push({hash:values[i].hash,title:values[i].title,

RedBeard0531

db.events.mapReduce(
  function(){
     emit({category:this.category, uid:this.uid}, null);
  },
  function(key, values){
    return null;
  },
  {query: {type: "pageview"}}
).map_reduce(
  function(){

RedBeard0531

#include "test.h"
#include "mongo.h"
#include <stdio.h>
#include <string.h>
#include <stdlib.h>

int main(){
    mongo_connection conn[1];
    mongo_connection_options opts;

RedBeard0531

$ MONGO_INCLUDE_PATH=/usr/include/mongo/ scons .
scons: Reading SConscript files ...
scons: done reading SConscript files.
scons: Building targets ...
g++ -o gridfs_c_helpers.o -c -I/usr/include/mongo -INone gridfs_c_helpers.cpp
scons: done building targets.

RedBeard0531

> db.test.find({loc:{$near:[0,0]}})
{ "_id" : ObjectId("4ba7e616b8c125a527c38708"), "name" : "a", "loc" : [ 0, 0 ] }
{ "_id" : ObjectId("4ba7e61ab8c125a527c38709"), "name" : "b", "loc" : [ 0, 0 ] }
{ "_id" : ObjectId("4ba7e620b8c125a527c3870a"), "name" : "c", "loc" : [ 1, 1 ] }

RedBeard0531

/* test.c */
#include <stdio.h>
#include <string.h>
#include <stdlib.h>

#ifndef _WIN32
#include <sys/time.h>
#endif

static char hexbyte1(char hex){

RedBeard0531

> db.foo.ensureIndex({a:1})
> db.foo.ensureIndex({b:1})
> db.foo.insert({a:1})
> db.foo.insert({b:1})
> db.foo.insert({a:1, b:1})
> db.foo.find({$or:[{a:1}, {b:1}]}).explain()
{
	"clauses" : [
		{
			"cursor" : "BtreeCursor a_1",

RedBeard0531

#!/usr/bin/python

from pymongo import Connection
import subprocess
import sys

def advance(cur)
    try:
        return cur.next()
    except StopIteration:

RedBeard0531

// derived from http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Parallel_algorithm

function map() {
    emit(1, // Or put a GROUP BY key here
         {sum: this.value, // the field you want stats for
          min: this.value,
          max: this.value,
          count:1,
          diff: 0, // M2,n:  sum((val-mean)^2)
    });

RedBeard0531

$ convert - /tmp/o.png << EOF
P1
# This is an example bitmap of the letter "J"
6 10
0 0 0 0 1 0
0 0 0 0 1 0
0 0 0 0 1 0
0 0 0 0 1 0
0 0 0 0 1 0
0 0 0 0 1 0