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So here is some data I prepared,

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now you'll find that data attached to this video by the way.

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It is a

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json file and this json file actually holds an array 

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hence the square brackets here of two json documents,

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so this is one single json document and this is another json document and we entered one such document

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with insertOne, we don't insert both.

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We insert one such document with insertOne and this would be one piece of information about a flight.

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Now here, I got these key value pairs and that is how a json document is basically made up of, you

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have names which you enclose between double quotation marks and these double quotation marks are important

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and have to be used and then you got the values for these names or keys and here, the values can be different

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kinds of data.

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Here we got a string,

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so some text basically which is surrounded by quotation marks.

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Here we got a number though

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and there we don't have quotation marks,

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so the values don't have to use quotation marks, only the names here.

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The values can be strings and then they have quotation marks but they can also be numbers or like this,

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a so-called boolean,

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so true or false,

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this also has no quotation marks.

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There also are some other types of data which we'll see throughout the course,

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these are three very important types of data which you will use a lot though,

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so this is one json document we could enter.

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So let's grab this document,

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again you'll find this file attached and just that one document including the curly braces but not the entire

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array,

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grab that document and then back in your terminal here, you can copy that document between those braces,

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important before you copy it in, delete the closing parentheses,

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then add it and then close it.

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Now if you hit enter, you should see this message here which basically tells you that this was accepted and

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was inserted successfully and that it also assigned an automatically created ID.

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Now that's a feature provided by mongodb,

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every document you enter gets a unique ID and actually, you need to have a unique ID on every element

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but as you saw here, you don't need to specify it on your own, mongodb gives you one, it's of type objectId

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so this another type supported by mongodb which we can use and we can see it if we now simply have

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a look at our flight data.

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Let me clear the console

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and again if I now access flight data, so this collection, now instead of inserting, we can use find like

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this

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and if we use it like this, it will simply return all the documents in this collection.

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You can also add another dot and then pretty as a function

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and this will just make sure that the output we get back is formatted in a pretty way.

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That's the only thing it does, find without pretty will also work,

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it'll look like this but and you can press arrow up to repeat your last command,

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if you add pretty, it looks like this which is easier to read and there we see all the data we entered

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plus this extra _id which was added automatically by mongodb

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and this objectid object is simply a special type of data provided by mongodb which is a unique

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ID that also allows you to sort your documents because it will also have some time stamp data in there

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you could say. So this id also can be used for sorting because it's guaranteed that if you would add

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another document right now, this would be treated as a more recent document than this document we see

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here due to that id.

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But that's some behind the scenes stuff,

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the important part is we got our data in there,

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you still see we have the same data types we added like the number still is a number,

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there are no quotation marks around it

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and this is now valid json data inserted into our database or into our collection in that database

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to be precise.