Match all operators of aggregation

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In this tutorial, we delve into advanced techniques for building MongoDB aggregation pipelines. We start by addressing key questions and demonstrating how to craft effective pipelines for analytics and admin dashboards. The focus is on practical applications like sorting and limiting recent user registrations, categorizing users by favorite fruit, and filtering users based on specific conditions such as the presence of tags. We explore grouping data, using accumulators like ‘push’ and ‘sum’, and leveraging the $all operator for array queries. The tutorial also covers how to match documents based on nested fields and count occurrences accurately. For practical learning, we use a consistent database schema and show how to handle more complex queries like joining collections with lookup, akin to a left outer join. This comprehensive guide is designed to enhance your understanding of MongoDB aggregation and improve your ability to implement effective data queries and transformations. For further study, reviewing the official MongoDB documentation and experimenting with queries are encouraged.

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Since I started following you, I really like that you always give importance to reading documentation
Thats make your teaching different than other

ManishM-bi
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Sir, your teaching style is next level.

ridamsinghal
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Your teaching style is great ♥♥♥. I am trying to understand aggregation from the previous 3 days but get bored and you make it easy peezy 😁

iqramalik-vcvf
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14:34 You may click the button beside "Copy" after you have completed writing the code in </>TEXT to format it. This is easier than switching from text to stages and then stages to text again.

mr_doc-.-
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gr8 video sir thank you, it was really fun

Suraj.
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I have learned a lot, thank you very much sir!

fatimaiqra
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keep doing these type of videos they are worth more than going through whole tutorial 😅😅😅😅

aloksharma
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i think the following is the answer for the last question:
[
{
$match: {
"company.location.country" : "USA"
}
},
{
$count: 'userCount'
}

]

abusufyan
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Thank you sir for this type of great videos

MdShihabUddin-dhvc
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Not gonna watch the video now but kudos to the effort.

AnshumanBisoyi
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14:36
find user who have both enim

I solve it this way. Is it the incorrect way?


[
{
$match: {
$and:[{"tags":"enim"}, {"tags":"id"}]

}
},
{
$project: {
name:1,
tags:1,
}
}

]

bishtbeat
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I have question it is wise to install mongo db in same aws or use mongodb own service. Which one is cost effective

arifurrahman
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Sir, learncode online is not available

fitnessbyatechie
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what is the name of your online class website?

rverse
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Bhaiya I want to ask a question regarding interviews, many times we are asked to describe the architecture of a technology, please tell us what should be our answer ❤

musiclovrrap
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contributing for 'comment target'

leeladharsuthar
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Listing all comapny located in USA and its count:
[
{
$match: {

}
},
{
$addFields: {
"userName": "$name"
}
},
{
$project: {
"_id":0,
"userName":1
}
},
{
$count: 'noOfUsers'
}
]

SabinPoudel-iwrf