How to query data from nested document in mongodb? - mongodb

Question

I'm struggling with this nested document too much. I tried to read the document and also follow other SO responses to see if it works for me, but I'm not getting the results that I'm looking for. I want to extract some information from a big nested document.
DATA
I've uploaded the data to mongo playground. https://mongoplayground.net/p/7nbLtXMlFMx
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","publishDateIso8601":"2020-09-21T06:52:56-04:00","type":"post"},"children":[{"name":"image","config":{"aspectRatio":0.5625,"attachmentId":2888833,"alt":"","caption":"","crops":[],"height":0,"imageSize":"full","lazyload":true,"lqipSrc":"data: image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7","postId":2888827,"retina":true,"showCaption":false,"sources":[],"sourceTags":[],"src":"","srcset":"","url":"","useBasicImg":false,"usingDataFallback":false,"width":0},"children":[]},{"name":"byline","config":{"link":"https://fortune.com/author/stephen-stapczynski/","name":"Stephen Stapczynski"},"children":[]},{"name":"byline","config":{"link":"https://fortune.com/author/akshat-rathi/","name":"Akshat Rathi"},"children":[]},{"name":"byline","config":{"link":"https://fortune.com/author/bloomberg/","name":"Bloomberg"},"children":[]}]},{"name":"content-item","config":{"themeName":"company_latest_news","timeago":"","isNativoTout":false,"eyebrowSectionLabel":"Retail","eyebrowSectionLink":"https://fortune.com/section/retail/","eyebrowTagLabel":"Food Waste","eyebrowTagLink":"https://fortune.com/tag/food-waste/","title":"Exclusive: Startup Apeel is launching ‘plastic-free’ cucumbers at Walmart to cut back on waste","permalink":"https://fortune.com/2020/09/21/apeel-cucumbers-walmart-plastic-food-waste/","id":2888394,"excerpt":"Apeel’s English cucumbers are coated in a plant-based material that extends shelf life without the need for single-use plastic.","publishDateIso8601":"2020-09-21T06:00:31-04:00","type":"post"},"children":[{"name":"image","config":{"aspectRatio":0.5625,"attachmentId":2888387,"alt":"","caption":"","crops":[],"height":0,"imageSize":"full","lazyload":true,"lqipSrc":"data: image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7","postId":2888394,"retina":true,"showCaption":false,"sources":[],"sourceTags":[],"src":"","srcset":"","url":"","useBasicImg":false,"usingDataFallback":false,"width":0},"children":[]},{"name":"byline","config":{"link":"https://fortune.com/author/beth-kowitt/","name":"Beth Kowitt"},"children":[]}]}]},{"name":"company-latest-videos","config":{"tags":["Walmart"],"title":"Walmart"},"children":[]},{"name":"sidebar","config":{"themeName":"right"},"children":[{"name":"advertising-slot","config":{"align":"center","lazyload":true,"useDynamicChannel":false,"placementName":"RightRailFlex","slotId":"RightRailFlex1","targeting":{"placement_name":"RightRailFlex","index":2}},"children":[]}]}]}]}}
What I want to extract is the config from children of page where the name is company-information and description from name company-hero. I read the articles and documentation, and I can do what I want if the document is not as nested. But I'm completely lost on how to extract those info that I'm looking from. This is the first time working on Mongodb for me to this extent. I had done something very basic before.
I tried
db.collection.find(
{"page.children.3.children.2.name": {"$eq": "company-information"}},
{"page.children.3.children.2": 1}
)
but got empty result
Output
There are about 1000 rows(? Not sure if I can call it rows). The part that I'm interested in is pulling the page.children[3].children[2] where the name is company-information. So the result should be the following:
"config": {
"ceo": "C. Douglas McMillon",
"companyType": "Public",
"country": "U.S.",
"employees": "2200000",
"footnote": "Market value as of Sept. 15, 2020.",
"headquarters": "Bentonville, Ark.",
"industry": "General Merchandise",
"marketValue": "389244",
"profits": "14881",
"revenues": "523964",
"ticker": "WMT",
"title": "Company information",
"updated": "9/21/20",
"website": "https://www.stock.walmart.com"
}

Answer 1

You can do (almost!) anything with an aggregate query. In your case I suggest using $unwind to convert the lists to onjects, then $match on your target field(s), $project to trim down the output, $replaceRoot to simplify the structure and $limit for good measure as there's actually 2 records that match your criteria.
https://mongoplayground.net/p/UsKeqA0aWYK
db.collection.aggregate([
{
"$unwind": "$page.children"
},
{
"$unwind": "$page.children.children"
},
{
"$match": {
"page.children.children.name": "company-information"
}
},
{
"$project": {
"_id": 0,
"page.children.children.config": 1
}
},
{
"$replaceRoot": {
"newRoot": "$page.children.children"
}
},
{
"$limit": 1
}
])