1 00:00:00,450 --> 00:00:06,420 Once we have set up database access, network access, as well as the connections string, now let's 2 00:00:06,420 --> 00:00:13,230 actually explore the data part and we want to click on collections, then we're going to go with our 3 00:00:13,230 --> 00:00:17,580 own data and then we need to come up with a database name. 4 00:00:17,850 --> 00:00:19,650 Not the first one will be number one. 5 00:00:20,040 --> 00:00:26,220 And of course, once we connect to our application, then we'll create a task manager one. 6 00:00:26,520 --> 00:00:32,820 So the first one, I'll just call store and then they ask us to create a collection and the worry I'll 7 00:00:32,820 --> 00:00:35,520 cover what actually are collections and all that. 8 00:00:35,790 --> 00:00:41,200 But for the time being, I'm just going to go with product and we'll create one. 9 00:00:41,880 --> 00:00:47,510 And once we have everything in place, we are ready to start creating documents. 10 00:00:48,000 --> 00:00:53,070 So whenever we talk about Mongo DB, we'll have the database. 11 00:00:53,400 --> 00:00:57,800 So that essentially is going to be that application again in our case. 12 00:00:57,810 --> 00:01:01,170 Eventually this will be the task manager one. 13 00:01:02,030 --> 00:01:06,210 And then inside of that database, we'll have collections. 14 00:01:06,740 --> 00:01:11,840 Now, if you're familiar with regular databases, you can think of them as tables. 15 00:01:12,090 --> 00:01:16,820 And in our collections, we'll have a group of Mongo DB documents. 16 00:01:17,030 --> 00:01:21,140 So if I named my one product, you can probably already has that here. 17 00:01:21,140 --> 00:01:23,030 I'll have a list of products. 18 00:01:23,390 --> 00:01:30,100 And if I decide that my store will also have users, of course I can go here and create a new collection. 19 00:01:30,440 --> 00:01:33,710 And as a quick side note, we won't have to do this manually. 20 00:01:34,070 --> 00:01:36,320 I'm just showing you the general set manually. 21 00:01:36,650 --> 00:01:42,890 Of course, eventually all of this is going to happen automatically once we connect from our task manager. 22 00:01:43,160 --> 00:01:51,440 So I have a list of products and then, of course, I can also create a list of users or list of orders. 23 00:01:51,650 --> 00:01:53,530 And hopefully you get the gist. 24 00:01:53,780 --> 00:01:55,560 And once we have our list. 25 00:01:55,940 --> 00:02:02,570 Now, let's talk about the individual items so I can go to any of my collections online. 26 00:02:02,590 --> 00:02:08,060 And once I'm here, I can insert a document and document in Mongo. 27 00:02:08,060 --> 00:02:11,630 DB effectively represents that one single item. 28 00:02:11,960 --> 00:02:18,800 And what's really cool that just like JavaScript object, effectively, it's a set of key value pairs. 29 00:02:18,930 --> 00:02:25,400 Now, by default, the moment we create a new document, we'll get this underscore ID, which is going 30 00:02:25,400 --> 00:02:26,960 to be that unique ID. 31 00:02:27,440 --> 00:02:32,610 So we don't need to worry about the I.D. And then of course we need to set up a type. 32 00:02:32,990 --> 00:02:36,580 So what is going to be the type for our document? 33 00:02:36,590 --> 00:02:38,570 What is going to be typed for the item? 34 00:02:38,900 --> 00:02:42,560 And if you click over here, as you can see, these are our options. 35 00:02:42,560 --> 00:02:46,880 We can set it up as an array, binary boolean and yada, yada, yada. 36 00:02:47,060 --> 00:02:52,400 And I'm probably not going to spend too much time on types since I eventually will set it up from our 37 00:02:52,400 --> 00:02:53,350 server anyway. 38 00:02:53,750 --> 00:02:59,530 And at that point the setup is going to be a bit different since we'll use a tool called Mongo's. 39 00:03:00,020 --> 00:03:01,820 Now, in our case, what are we looking for? 40 00:03:02,090 --> 00:03:03,680 Well, we're just looking for the string. 41 00:03:04,110 --> 00:03:10,630 I'm just going to go here with name and then I'll set it equal first and product. 42 00:03:10,970 --> 00:03:18,110 So here, of course, I can insert and now not only I have the product collection, but I also have 43 00:03:18,110 --> 00:03:20,810 my first item, my first document. 44 00:03:21,440 --> 00:03:26,330 And here comes the biggest Gogia and Monaldi B documents have a dynamic schema. 45 00:03:26,750 --> 00:03:32,120 And what that means in plain English is the simple fact that documents in the same collection don't 46 00:03:32,120 --> 00:03:35,250 need to have the same set of fields or the structure. 47 00:03:35,840 --> 00:03:43,580 So if I were to go to insert document and instead of string, I'm going to go with array and I'm going 48 00:03:43,580 --> 00:03:49,390 to call this colors and then I'll set my first one to be read them second one blue. 49 00:03:49,760 --> 00:03:59,560 And if I'll save it as far as Mongo DB is concerned, they're still the same items in this product collection. 50 00:03:59,900 --> 00:04:02,020 So nothing stops you from doing that. 51 00:04:02,300 --> 00:04:08,660 Now, just because you can does not mean you should and therefore will use additional library by the 52 00:04:08,660 --> 00:04:12,170 name of a Mangoush, which will set up that structure for us. 53 00:04:12,440 --> 00:04:19,880 But as far as straight up Mongo DB, yes, both of these documents are still part of this product collection, 54 00:04:20,329 --> 00:04:23,960 even though their structure might be totally different.