suppose that you have a collection of documents in mongodb, each document represent a movie information as the following sample show

$\{$

title: "Into Darkness",

year: $2013,$

genre: $[$

"Action",

"Adventure",

$"$ Sci $-$ Fi $",],$

actors: $[$

"Pine, Chris",

"Quinto, Zachary $",$

"Saldana, Zoe $",],$

releases: $[\{$

country: $"$ USA

date: $"2013-05-17",$

prerelease: true$\},$

$\{$country: Germany $",$

date:" $2003-05-16",$

prerelease: false

$\}]\}$

For each case of the following, query MongoDB to return results from the collection:

Return all document whose title is $$Into Darkness$$ & produced after $2010$

For the same query in $(1),$ make MongoDB only return the following fields; title, year, actors

Delete only one document from the collection whose title is $$Into Darkness$$

Return all documents that are released in $$USA$$ country

Write a query to add rating:$5$ to the document whose title is $$Into Darkness$$

Sort movies in ascending order based on the year and number of actors

Use mapreduce to run mongodb that finds the average ratings of movies produces in $1999$; write map function, reduce function, and how to use them in query