1 00:00:01,330 --> 00:00:04,200 ‫Welcome back after a long lecture 2 00:00:04,200 --> 00:00:06,470 ‫where we searched for tour documents 3 00:00:06,470 --> 00:00:08,170 ‫within a certain distance 4 00:00:08,170 --> 00:00:11,930 ‫from a certain point using geospatial queries. 5 00:00:11,930 --> 00:00:15,840 ‫Now in this lecture, let's use geospatial aggregation 6 00:00:15,840 --> 00:00:17,580 ‫in order to calculate distances 7 00:00:17,580 --> 00:00:20,073 ‫to all the tours from a certain point. 8 00:00:21,970 --> 00:00:24,320 ‫So just like before let's actually start 9 00:00:24,320 --> 00:00:26,510 ‫by defining the route so that we know 10 00:00:26,510 --> 00:00:28,610 ‫which data we're going to be working with. 11 00:00:31,750 --> 00:00:36,150 ‫So router.route; 12 00:00:36,150 --> 00:00:40,760 ‫at this time I'm gonna call it simply distances, 13 00:00:40,760 --> 00:00:43,130 ‫and then the data that we need 14 00:00:43,130 --> 00:00:45,050 ‫is the latitude and the longitude 15 00:00:45,050 --> 00:00:47,193 ‫of the point where the user currently is, 16 00:00:48,090 --> 00:00:51,103 ‫so in our previous example that was LA, 17 00:00:52,840 --> 00:00:54,310 ‫and then let's also allow the user 18 00:00:54,310 --> 00:00:57,273 ‫again to specify the unit. 19 00:00:59,370 --> 00:01:02,150 ‫Then here, the route handler function. 20 00:01:02,150 --> 00:01:03,060 ‫Now this time here, 21 00:01:03,060 --> 00:01:05,850 ‫we do not need the distance parameter, 22 00:01:05,850 --> 00:01:07,250 ‫as we had it right here, 23 00:01:07,250 --> 00:01:10,600 ‫because we're not gonna be searching for a certain radius. 24 00:01:10,600 --> 00:01:12,620 ‫We're really gonna calculate the distance 25 00:01:12,620 --> 00:01:14,880 ‫from a certain point to all the tours 26 00:01:14,880 --> 00:01:16,683 ‫that we have in our collection. 27 00:01:17,530 --> 00:01:20,483 ‫So the handler is at tourController, 28 00:01:21,880 --> 00:01:24,077 ‫and it's gonna be called getDistances. 29 00:01:28,710 --> 00:01:32,033 ‫We don't have that yet, and so let's create it. 30 00:01:37,610 --> 00:01:42,210 ‫CatchAsync, and then of course 31 00:01:42,210 --> 00:01:45,170 ‫mark the function as async as well 32 00:01:45,170 --> 00:01:47,620 ‫because we already know that we're gonna use 33 00:01:47,620 --> 00:01:50,210 ‫the aggregation pipeline, and so by the time 34 00:01:50,210 --> 00:01:52,393 ‫we're gonna be using a wait. 35 00:01:57,771 --> 00:02:02,070 ‫The beginning of this function is actually quite similar 36 00:02:02,070 --> 00:02:05,470 ‫to the getToursWithin one, and so let's go ahead 37 00:02:05,470 --> 00:02:07,223 ‫and just copy all of this code. 38 00:02:08,730 --> 00:02:11,830 ‫We have some similar units, then we also need to get 39 00:02:11,830 --> 00:02:13,450 ‫the latitude and longitude, 40 00:02:13,450 --> 00:02:15,520 ‫and we also need to create this error 41 00:02:15,520 --> 00:02:18,583 ‫in case there is no latitude or no longitude. 42 00:02:21,980 --> 00:02:23,890 ‫This one here does not apply, 43 00:02:23,890 --> 00:02:25,833 ‫and also we don't have the distance. 44 00:02:28,526 --> 00:02:30,713 ‫So let's now do the actual calculation. 45 00:02:31,800 --> 00:02:34,660 ‫Just like before in order to do calculations 46 00:02:34,660 --> 00:02:37,730 ‫we always use the aggregation pipeline. 47 00:02:37,730 --> 00:02:40,513 ‫And remember, that is called on the model itself. 48 00:02:41,520 --> 00:02:43,923 ‫So Tour.aggregate. 49 00:02:45,800 --> 00:02:48,830 ‫Then let's await that, and save it 50 00:02:48,830 --> 00:02:50,723 ‫into the distances variable. 51 00:02:55,349 --> 00:02:58,020 ‫So then here, remember, we passed in an array 52 00:02:58,020 --> 00:03:00,803 ‫with all the stages of the aggregation pipeline 53 00:03:00,803 --> 00:03:02,700 ‫that we want to define. 54 00:03:02,700 --> 00:03:04,660 ‫Now for geospatial aggregation, 55 00:03:04,660 --> 00:03:07,550 ‫there's actually only one single stage, 56 00:03:07,550 --> 00:03:09,967 ‫and that's called geoNear, so this one. 57 00:03:16,380 --> 00:03:18,518 ‫Again, this is the only geospatial 58 00:03:18,518 --> 00:03:21,780 ‫aggregation pipeline stage that actually exists. 59 00:03:21,780 --> 00:03:26,530 ‫This one always needs to be the first one in the pipeline. 60 00:03:26,530 --> 00:03:28,840 ‫So keep that in mind that geoNear 61 00:03:28,840 --> 00:03:31,173 ‫always needs to be the first stage. 62 00:03:32,620 --> 00:03:35,700 ‫Something else that's also very important to note 63 00:03:35,700 --> 00:03:38,370 ‫about geoNear is that it requires 64 00:03:38,370 --> 00:03:40,430 ‫that at least one of our fields 65 00:03:40,430 --> 00:03:42,713 ‫contains a geospatial index. 66 00:03:43,930 --> 00:03:46,440 ‫Actually we already did that before, 67 00:03:46,440 --> 00:03:48,965 ‫so let's again take a look. 68 00:03:48,965 --> 00:03:51,290 ‫Our start location already has 69 00:03:51,290 --> 00:03:54,895 ‫this 2dsphere geospatial index on it. 70 00:03:54,895 --> 00:03:57,290 ‫Since we're using this startLocation 71 00:03:57,290 --> 00:03:59,390 ‫in order to calculate the distances, 72 00:03:59,390 --> 00:04:01,593 ‫well, that's then perfect. 73 00:04:03,050 --> 00:04:06,138 ‫If there's only one field with a geospatial index 74 00:04:06,138 --> 00:04:10,120 ‫then this geoNear stage here will automatically use 75 00:04:10,120 --> 00:04:13,490 ‫that index in order to perform the calculation. 76 00:04:13,490 --> 00:04:16,570 ‫But if you have multiple fields with geospatial indexes 77 00:04:16,570 --> 00:04:18,880 ‫then you need to use the keys parameter 78 00:04:18,880 --> 00:04:20,440 ‫in order to define the field 79 00:04:20,440 --> 00:04:22,623 ‫that you want to use for calculations. 80 00:04:24,429 --> 00:04:26,120 ‫So keep that in mind, but again, 81 00:04:26,120 --> 00:04:27,960 ‫in this case we only have one field, 82 00:04:27,960 --> 00:04:30,850 ‫and so automatically that startLocation field 83 00:04:30,850 --> 00:04:33,740 ‫is going to be used for doing these calculations. 84 00:04:33,740 --> 00:04:37,230 ‫So, what do we need to pass into geoNear? 85 00:04:37,230 --> 00:04:41,396 ‫Well, first we need to specify the near property, 86 00:04:41,396 --> 00:04:45,800 ‫and near is the point from which to calculate the distances. 87 00:04:45,800 --> 00:04:49,030 ‫So all the distances will be calculated from this point 88 00:04:49,030 --> 00:04:52,410 ‫that we define here, and then all the start locations. 89 00:04:52,410 --> 00:04:54,804 ‫So this near point here is of course 90 00:04:54,804 --> 00:04:57,602 ‫the point that we pass into this function 91 00:04:57,602 --> 00:04:59,743 ‫with this latitude and longitude. 92 00:05:01,496 --> 00:05:05,773 ‫Now we need to specify this point here as geojson, 93 00:05:06,890 --> 00:05:09,180 ‫so that's just like we did it before, 94 00:05:09,180 --> 00:05:12,153 ‫where we need to specify the type as Point, 95 00:05:14,517 --> 00:05:17,647 ‫and then specify the coordinates property. 96 00:05:20,320 --> 00:05:23,423 ‫And as always the first coordinate here is the longitude, 97 00:05:25,640 --> 00:05:28,530 ‫and then the second one, the latitude. 98 00:05:28,530 --> 00:05:31,520 ‫And let's multiply both of them by one, 99 00:05:31,520 --> 00:05:34,053 ‫simply to convert it to numbers. 100 00:05:36,240 --> 00:05:40,060 ‫So this is the first mandatory field, near, 101 00:05:40,060 --> 00:05:43,563 ‫and the second one is the distance field property. 102 00:05:46,160 --> 00:05:48,870 ‫So, distanceField, and so this is the name 103 00:05:48,870 --> 00:05:51,090 ‫of the field that will be created 104 00:05:51,090 --> 00:05:54,270 ‫and where all the calculated distances will be stored. 105 00:05:54,270 --> 00:05:57,653 ‫So let's simply call this one distance. 106 00:05:59,710 --> 00:06:01,660 ‫Actually, that's it. 107 00:06:01,660 --> 00:06:03,770 ‫That's all the fields that are mandatory 108 00:06:03,770 --> 00:06:06,180 ‫in this geoNear stage. 109 00:06:06,180 --> 00:06:08,560 ‫And of course, we can add other stages here, 110 00:06:08,560 --> 00:06:10,740 ‫and we're actually going to do that a bit later, 111 00:06:10,740 --> 00:06:12,570 ‫but for now all I want to do 112 00:06:12,570 --> 00:06:15,573 ‫is to really see the results of this working. 113 00:06:17,670 --> 00:06:22,410 ‫Let's again copy this a result here, 114 00:06:22,410 --> 00:06:27,410 ‫thus sending these results, and here, 115 00:06:27,600 --> 00:06:29,503 ‫let's then send the distances, 116 00:06:30,810 --> 00:06:32,410 ‫and also this one we don't need. 117 00:06:35,524 --> 00:06:37,860 ‫So, we're ready to start. 118 00:06:37,860 --> 00:06:40,680 ‫Keep in mind that at this point we didn't use the unit, 119 00:06:40,680 --> 00:06:42,370 ‫but don't worry about that. 120 00:06:42,370 --> 00:06:44,580 ‫We're gonna do that in a second, 121 00:06:44,580 --> 00:06:47,723 ‫but again, first I really want to see this working. 122 00:06:50,320 --> 00:06:52,623 ‫Remember that the route is now distances, 123 00:06:55,180 --> 00:06:57,190 ‫so let's just copy this one here. 124 00:06:57,190 --> 00:06:58,763 ‫Actually, I will save it also, 125 00:06:59,790 --> 00:07:01,223 ‫so into the tours. 126 00:07:03,860 --> 00:07:07,710 ‫Let's say get tours within radius. 127 00:07:16,540 --> 00:07:21,540 ‫This here is called distances, 128 00:07:22,000 --> 00:07:26,290 ‫and we do not have this and also not this. 129 00:07:26,290 --> 00:07:29,523 ‫So just the coordinates, and then again the unit. 130 00:07:31,040 --> 00:07:35,740 ‫Let's take a look, and we will now get this error. 131 00:07:35,740 --> 00:07:38,100 ‫Remember how we said that geoNear 132 00:07:38,100 --> 00:07:41,750 ‫always needs to be the first stage in a pipeline, 133 00:07:41,750 --> 00:07:43,870 ‫but if you now take a look at the code 134 00:07:43,870 --> 00:07:48,510 ‫you might think that actually our geoNear stage 135 00:07:48,510 --> 00:07:51,690 ‫is currently the first stage of our pipeline. 136 00:07:51,690 --> 00:07:55,290 ‫Because right here, it actually looks like it is, right? 137 00:07:55,290 --> 00:07:58,530 ‫There's nothing before this, and so why do we get this error 138 00:07:58,530 --> 00:08:02,134 ‫that geoNear is not the first stage in the pipeline? 139 00:08:02,134 --> 00:08:06,010 ‫Actually it took me a bit of time to figure this out 140 00:08:06,010 --> 00:08:08,730 ‫because this has something to do with a piece of code 141 00:08:08,730 --> 00:08:10,623 ‫that we wrote a long time ago. 142 00:08:12,050 --> 00:08:14,240 ‫That's here in the tour model, 143 00:08:14,240 --> 00:08:16,623 ‫and if we go down here, I think. 144 00:08:19,480 --> 00:08:22,440 ‫Right here, we have this aggregation middleware, 145 00:08:22,440 --> 00:08:26,220 ‫and remember that what this did is to actually always add 146 00:08:26,220 --> 00:08:29,840 ‫this match stage here before all the other stages, 147 00:08:29,840 --> 00:08:32,050 ‫and actually we have this console.log here 148 00:08:32,050 --> 00:08:34,700 ‫and so indeed you can actually see 149 00:08:34,700 --> 00:08:36,593 ‫the entire pipeline down here. 150 00:08:37,790 --> 00:08:40,060 ‫And so you see that we first have the match, 151 00:08:40,060 --> 00:08:42,130 ‫and then the geoNear phase here, 152 00:08:42,130 --> 00:08:45,230 ‫actually only as the second stage. 153 00:08:45,230 --> 00:08:48,670 ‫So it actually makes sense that we get that error. 154 00:08:48,670 --> 00:08:52,120 ‫Now we could go ahead and change this middleware here 155 00:08:52,120 --> 00:08:55,630 ‫and say that if geoNear is the first operator 156 00:08:55,630 --> 00:08:59,873 ‫in the pipeline, then simply do not do this here. 157 00:08:59,873 --> 00:09:03,530 ‫But that's a bit too much work for this use case, 158 00:09:03,530 --> 00:09:06,853 ‫so all I'm gonna do is to get rid of this middleware. 159 00:09:08,448 --> 00:09:11,833 ‫So give this a save, and now let's try it again. 160 00:09:13,929 --> 00:09:16,420 ‫Now we get our tours, and now it should have 161 00:09:16,420 --> 00:09:18,633 ‫that distance field on them. 162 00:09:19,520 --> 00:09:24,230 ‫So let's search for that, and indeed here it goes. 163 00:09:24,230 --> 00:09:27,588 ‫So distance, and then this huge number here. 164 00:09:27,588 --> 00:09:29,740 ‫It is this big number, 165 00:09:29,740 --> 00:09:32,490 ‫because actually it's calculated in meters, 166 00:09:32,490 --> 00:09:35,270 ‫so this result comes in meters, 167 00:09:35,270 --> 00:09:38,683 ‫so let's first of all convert this one to kilometers. 168 00:09:39,560 --> 00:09:42,630 ‫Later on we will then also convert it to miles, 169 00:09:42,630 --> 00:09:46,120 ‫because remember we specified the unit to miles, 170 00:09:46,120 --> 00:09:47,860 ‫but for now the easiest solution 171 00:09:47,860 --> 00:09:49,960 ‫is to actually convert it to kilometers, 172 00:09:49,960 --> 00:09:51,640 ‫because all we have to do for that 173 00:09:51,640 --> 00:09:54,920 ‫is to just divide it by 1000. 174 00:09:54,920 --> 00:09:56,250 ‫And then also what I want to do 175 00:09:56,250 --> 00:09:58,950 ‫is to only really get the distances, 176 00:09:58,950 --> 00:10:00,530 ‫and the name of the tours. 177 00:10:00,530 --> 00:10:04,170 ‫So get rid of all the other clutter that we have here 178 00:10:04,170 --> 00:10:07,133 ‫and really only focus on the distances themselves. 179 00:10:08,610 --> 00:10:11,160 ‫For that, as you might remember, 180 00:10:11,160 --> 00:10:14,350 ‫we can use the project stage. 181 00:10:14,350 --> 00:10:17,163 ‫So let's add that here as the second stage. 182 00:10:20,160 --> 00:10:24,470 ‫So project, and then basically the names 183 00:10:24,470 --> 00:10:26,373 ‫of the fields that we want to keep. 184 00:10:27,230 --> 00:10:31,003 ‫So that's the distance, and so we set that one to one, 185 00:10:32,100 --> 00:10:35,757 ‫saying that we want to keep it, and then also the name 186 00:10:35,757 --> 00:10:39,653 ‫so that we actually know what tour we're talking about. 187 00:10:40,990 --> 00:10:43,800 ‫With that we get rid of all the other data, 188 00:10:43,800 --> 00:10:47,220 ‫and now let's basically divide the distance by 1000 189 00:10:47,220 --> 00:10:50,320 ‫in order to convert these meters to kilometers. 190 00:10:50,320 --> 00:10:52,590 ‫Actually, it's very easy to do that, 191 00:10:52,590 --> 00:10:56,249 ‫because in a geoNear stage we can actually specify 192 00:10:56,249 --> 00:10:59,543 ‫the distance multiplier property. 193 00:11:00,410 --> 00:11:05,410 ‫So distanceMultiplier, and so here we can specify a number 194 00:11:07,470 --> 00:11:10,790 ‫which is then going to be multiplied with all the distances. 195 00:11:10,790 --> 00:11:15,790 ‫Here we specify 0.001, and so that is exactly the same 196 00:11:16,080 --> 00:11:17,763 ‫as dividing by 1000. 197 00:11:19,860 --> 00:11:21,763 ‫So let's test our result here now. 198 00:11:23,210 --> 00:11:25,760 ‫And that calculation apparently takes some time, 199 00:11:25,760 --> 00:11:26,983 ‫but now here we go. 200 00:11:27,820 --> 00:11:32,050 ‫So now you get this nice result here in kilometers. 201 00:11:32,050 --> 00:11:35,200 ‫As you see the Sports Lover is the closest tour 202 00:11:35,200 --> 00:11:37,920 ‫to the location in Los Angeles that we marked. 203 00:11:37,920 --> 00:11:40,220 ‫So it's only 64 kilometers away, 204 00:11:40,220 --> 00:11:42,430 ‫which should be something like 40 miles. 205 00:11:42,430 --> 00:11:45,380 ‫But again, we're going to do that conversion in a second. 206 00:11:45,380 --> 00:11:48,487 ‫For now, I just want to go back to that map and compass 207 00:11:48,487 --> 00:11:50,863 ‫and see if this actually makes sense. 208 00:11:53,530 --> 00:11:56,800 ‫So we're still here, 209 00:11:56,800 --> 00:11:59,513 ‫and we still have our start locations map. 210 00:12:01,100 --> 00:12:01,933 ‫Now the problem here 211 00:12:01,933 --> 00:12:04,980 ‫is that we actually cannot really click 212 00:12:04,980 --> 00:12:07,433 ‫on any of these points and see what they are. 213 00:12:08,960 --> 00:12:11,660 ‫But let's just draw a quick circle here again 214 00:12:12,670 --> 00:12:15,000 ‫just to see which are the closest tours, 215 00:12:15,000 --> 00:12:17,770 ‫and if they match the ones in our output. 216 00:12:17,770 --> 00:12:19,753 ‫So it's kind of here, I believe, 217 00:12:21,300 --> 00:12:24,303 ‫and so let's include these five tours here. 218 00:12:27,070 --> 00:12:31,400 ‫So their names are The Park Camper, Snow Adventurer, 219 00:12:31,400 --> 00:12:34,783 ‫Wine Taster, Sports Lover and Star Gazer, 220 00:12:35,640 --> 00:12:37,893 ‫and so now when we come here, 221 00:12:39,450 --> 00:12:42,150 ‫these ones are actually the first five ones. 222 00:12:42,150 --> 00:12:43,970 ‫Sports Lover, Park Camper, Wine Taster, 223 00:12:43,970 --> 00:12:46,700 ‫Star Gazer and Snow Adventurer. 224 00:12:46,700 --> 00:12:49,490 ‫So that one that's really close is the Sports Lover, 225 00:12:49,490 --> 00:12:51,310 ‫and then the next one is the Park Camper 226 00:12:51,310 --> 00:12:52,763 ‫and the Wine Taster. 227 00:12:58,079 --> 00:13:00,490 ‫This one here is going to be the Park Camper, 228 00:13:00,490 --> 00:13:02,870 ‫which I believe starts in Las Vegas, 229 00:13:02,870 --> 00:13:04,300 ‫so that makes sense, 230 00:13:04,300 --> 00:13:06,473 ‫and then a third one is here, 231 00:13:06,473 --> 00:13:09,780 ‫The Wine Taster close to San Francisco. 232 00:13:09,780 --> 00:13:13,160 ‫So that distance of 800 kilometers I think, 233 00:13:13,160 --> 00:13:14,113 ‫or what was that? 234 00:13:15,290 --> 00:13:19,060 ‫Yeah, 600 kilometers, that actually makes kind of sense. 235 00:13:19,060 --> 00:13:21,593 ‫So, something close to 400 miles here. 236 00:13:22,910 --> 00:13:25,070 ‫And speaking of miles, let's actually do 237 00:13:25,070 --> 00:13:26,513 ‫that conversion right now. 238 00:13:28,030 --> 00:13:31,570 ‫Let's do something similar to what we did before, 239 00:13:31,570 --> 00:13:33,523 ‫so testing for the unit. 240 00:13:34,570 --> 00:13:36,943 ‫Let's create a multiplier variable, 241 00:13:39,320 --> 00:13:41,713 ‫again a ternary operator here, 242 00:13:45,030 --> 00:13:49,070 ‫so if it's miles then what should our multiplier be? 243 00:13:49,070 --> 00:13:50,630 ‫Well, let's actually very simply 244 00:13:50,630 --> 00:13:53,703 ‫Google what one meter is in miles. 245 00:13:58,320 --> 00:14:03,250 ‫One meter to miles, and Google usually gives us 246 00:14:03,250 --> 00:14:08,210 ‫a pretty nice response, and so indeed, that it is. 247 00:14:08,210 --> 00:14:11,750 ‫So if this is one meter, then all we need to do 248 00:14:11,750 --> 00:14:14,660 ‫is to really multiply our result in meters 249 00:14:14,660 --> 00:14:15,863 ‫with this number. 250 00:14:16,800 --> 00:14:20,340 ‫So let's copy it here, and go back, 251 00:14:20,340 --> 00:14:22,500 ‫and so this should be our multiplier 252 00:14:22,500 --> 00:14:26,690 ‫in case the unit is meters, or actually in case it's miles. 253 00:14:26,690 --> 00:14:29,030 ‫And in case it's meters, well then 254 00:14:29,030 --> 00:14:32,843 ‫it's that 0.001 that we used before. 255 00:14:34,670 --> 00:14:36,060 ‫We don't want it in meters, 256 00:14:36,060 --> 00:14:39,000 ‫because that's not really a readable unit. 257 00:14:39,000 --> 00:14:40,823 ‫Instead we want it in kilometers. 258 00:14:42,910 --> 00:14:46,563 ‫So now we can go ahead and use out multiplier variable here, 259 00:14:48,060 --> 00:14:51,363 ‫give it a save, and let's try it out. 260 00:14:54,450 --> 00:14:57,400 ‫So take a look at what we have here in kilometers, 261 00:14:57,400 --> 00:15:00,650 ‫so from the previous result, which is 64. 262 00:15:00,650 --> 00:15:05,650 ‫That should approximately be 40 miles, so let's send that, 263 00:15:06,560 --> 00:15:08,720 ‫and that was pretty close. 264 00:15:08,720 --> 00:15:11,370 ‫So 40.2 miles indeed. 265 00:15:11,370 --> 00:15:13,450 ‫And so that's our closest tours, 266 00:15:13,450 --> 00:15:18,010 ‫and the most farthest away is the City Wonderer, 267 00:15:18,010 --> 00:15:20,630 ‫which I think starts in New York or something, 268 00:15:20,630 --> 00:15:24,843 ‫and so that is more than 2400 miles away from L.A. 269 00:15:27,630 --> 00:15:30,770 ‫If we then set it here to kilometers, 270 00:15:30,770 --> 00:15:33,490 ‫then it should be back to getting the value 271 00:15:33,490 --> 00:15:34,583 ‫that we had before. 272 00:15:36,960 --> 00:15:38,410 ‫Let's put it back to miles 273 00:15:38,410 --> 00:15:41,370 ‫because I know that most people watching this course 274 00:15:41,370 --> 00:15:45,093 ‫are from the U.S., and so over there they use miles 275 00:15:45,093 --> 00:15:47,320 ‫instead of kilometers. 276 00:15:47,320 --> 00:15:50,710 ‫So let's save this here as well to our collection 277 00:15:52,300 --> 00:15:57,210 ‫get distances to tours from point. 278 00:16:01,940 --> 00:16:04,430 ‫So that's it, that wraps up this lecture, 279 00:16:04,430 --> 00:16:08,160 ‫and that's all I had to show you about geospatial data. 280 00:16:08,160 --> 00:16:10,730 ‫So this video and the last one should have given you 281 00:16:10,730 --> 00:16:13,180 ‫a very great overview of how to work 282 00:16:13,180 --> 00:16:16,260 ‫with geospatial data in MongoDB. 283 00:16:16,260 --> 00:16:18,900 ‫And as I said before there's a ton of possibilities 284 00:16:18,900 --> 00:16:21,647 ‫of stuff that you can do in your own applications 285 00:16:21,647 --> 00:16:23,563 ‫using this kind of data.