Match all operators of aggregation
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- Опубликовано: 30 сен 2024
- 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
Glad to hear that
i think the following is the answer for the last question:
[
{
$match: {
"company.location.country" : "USA"
}
},
{
$count: 'userCount'
}
]
No the question is about 'List all companies located in the USA with their corresponding user count', the corresponding user count means particular company's count.
The answer would be right if the question was 'List all companies located in the USA with total count'
Thank you again sir ❤
I have learned a lot, thank you very much sir!
Sir, your teaching style is next level.
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,
}
}
]
I did it in the same way and got the same output so I guess it is correct
guruji viewer of chai-aur-backend
3:45 Stephenson Griffith 💀💀
Listing all comapny located in USA and its count:
[
{
$match: {
"company.location.country":"USA"
}
},
{
$addFields: {
"userName": "$name"
}
},
{
$project: {
"_id":0,
"userName":1
}
},
{
$count: 'noOfUsers'
}
]
Thank you so much sir ❤❤❤
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 😁
goldmine series
🖤🖤🤍🤍
Thanks
boom💥
Done
Great Work Sir
I have question it is wise to install mongo db in same aws or use mongodb own service. Which one is cost effective
Not gonna watch the video now but kudos to the effort.
keep doing these type of videos they are worth more than going through whole tutorial 😅😅😅😅
what is the name of your online class website?
Your teaching is great❤️❤️
contributing for 'comment target'
Thank you sir for this type of great videos
Sir,learncode online is not available
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 ❤
Learn System design?
@@ShivamJha00 not sure about that one
Thank you so much Sir
Thanks for the video👍
Thank you very much
❤
great, thank you for that
👍👍
Countdown 🎉
Hi sir