MongoDB Console - Find & pull object in an array based on nested object with regex [duplicate] - mongodb

This question already has an answer here:
Updating/Pulling a value in an Array contained in a Subdocument Array in Mongodb/Mongoose
(1 answer)
Closed 3 years ago.
I have run into a problem where I need to delete some entries in my database based on a regexp that looks for an 'x' char in the value of the field. This is my data structure:
{
"_id" : ObjectId("5e0effac04d45483d97cb4c3"),
"formId" : ObjectId("5d076f7db166bcae2743554a"),
"revisionNo" : 0,
"customerUserId" : ObjectId("5d0889fde55fbc38509e5825"),
"formElements" : [
{
"formElementId" : ObjectId("5d1a047cae7a711848238c26"),
"type" : "text",
"label" : "Intersection number",
"value" : null,
"dynamicTypeData" : {
"required" : false,
"value" : "TK47ax"
}
},
{
"formElementId" : ObjectId("5d1a058cae7a711848238c27"),
"type" : "select",
"label" : "Municipality",
"value" : null,
"dynamicTypeData" : {
"attributes" : null,
"options" : [
],
"required" : false
}
},
{
"formElementId" : ObjectId("5d00ec9a9001eb637c8466f4"),
"type" : "select",
"label" : "Signtype for setup",
"value" : null,
"dynamicTypeData" : {
"attributes" : null,
"options" : [
],
"required" : false
}
},
{
"formElementId" : ObjectId("5d00ee749001eb637c8466fc"),
"type" : "select",
"label" : "Sign size",
"value" : null,
"dynamicTypeData" : {
"attributes" : null,
"options" : [
],
"required" : false
}
},
{
"formElementId" : ObjectId("5d00eced9001eb637c8466f5"),
"type" : "select",
"label" : "Route number",
"value" : null,
"dynamicTypeData" : {
"attributes" : null,
"options" : [
],
"required" : false
}
},
{
"formElementId" : ObjectId("5d00eeba9001eb637c8466fe"),
"type" : "select",
"label" : "Stand",
"value" : null,
"dynamicTypeData" : {
"attributes" : null,
"options" : [
],
"required" : false
}
},
{
"formElementId" : ObjectId("5d00ee849001eb637c8466fd"),
"type" : "select",
"label" : "Foundation",
"value" : null,
"dynamicTypeData" : {
"attributes" : null,
"options" : [
],
"required" : false
}
},
{
"formElementId" : ObjectId("5d00ed0f9001eb637c8466f6"),
"type" : "textarea",
"label" : "Remarks regaring the new signs placement",
"value" : null,
"dynamicTypeData" : {
"value" : null,
"required" : false
}
}
]
}
So what I want to find is every element matches the label: "Intersection number" with a value that contains the char x in their dynamicTypeData object. I'm aware that I can in the console do something like: db.getCollection('formRegistrations').find({formId: ObjectId("5d0889fde55fbc38509e5825")}) but how to get all the way down to thedynamicTypeData` object and match with the value in that, I have no idea. Please Help :) Thanks for reading
EDIT
While the given answer is correct I still only wanted to find the given registrations with those parameters, because I had to manually review the data before deletion since this was done on a production ser. So from the answer given below I formulated my own script:
db.formRegistrations.find(
{
formId: ObjectId("5d076f7db166bcae2743554a"),
"formElements.0.label": "Intersection number",
"formElements.0.dynamicTypeData.value": {
$regex: /.*x/
}
}
)
Hope this helps someone other than myself

To remove the formElements matching a specific label and dynamicTypeData(child elements) value, this should work :
db.formRegistrations.update({ _id: <the id> }, {
$pull: {
formElements: {
"label": "Intersection number",
"dynamicTypeData.value": {
$regex: /^.*?x.*$/,
$options: "i"
}
}
}
})

Related

MongoDB unable to lookup docs based on variable parent document property

I want to find products and for each product attach deals to it. A deal is a product from same collection, yet based on some common properties.
So as per my requirement pipeline should return documents, for each document find other products those aren't same as current, but have equal detail.duration. But even though I've many docs with same duration, deals are always []. Could you please figure out the issue with my pipeline?
Following is the aggregation pipeline I'm running:
I've added filter _id $in just for clarity based on shown documents below. This isn't a part of real pipeline $match query.
db.products
.aggregate([
{
$match: {
_id: {
$in: [
ObjectId("6210fa8746bee3fcbd0ad062"),
ObjectId("6210fa7c46bee3fcbd0acc21"),
],
},
"detail.duration": { $gt: 0 },
},
},
{
$lookup: {
from: "products",
let: { id: "$_id", duration: "$detail.duration" },
as: "deals",
pipeline: [
{
$match: {
_id: { $ne: "$id" },
"detail.duration": "$duration",
},
},
{ $project: { detail: 1 } },
{ $limit: 1 },
],
},
},
{ $limit: 2 },
{ $project: { deals: 1 } },
])
.pretty();
This was the result:
{ "_id" : ObjectId("6210fa7c46bee3fcbd0acc21"), "deals" : [ ] }
{ "_id" : ObjectId("6210fa8746bee3fcbd0ad062"), "deals" : [ ] }
Following are two example documents in the collection:
{
"_id" : ObjectId("6210fa8746bee3fcbd0ad062"),
"book" : "https://wegotrip.com/en/paris-d3/muse-d-orsay-and-musee-de-l-orangerie-combined-tour-ticket-p1117/?SUB_ID=336264",
"address" : "Rue de Lille, 62bis",
"countryName" : "France",
"cityName" : "Paris",
"location" : {
"lang" : 48.859886,
"lat" : 2.3254821,
"country" : ObjectId("6210fa7746bee3fcbd0aca20"),
"city" : ObjectId("6210fa7746bee3fcbd0aca1c"),
"location" : "Rue de Lille, 62bis",
"_id" : ObjectId("6210fa8746bee3fcbd0ad063")
},
"includes" : [
{
"value" : "Skip-the-line ticket to Orsay Museum",
"included" : true
},
{
"value" : "Skip-the-line ticket to the Musée de l'Orangerie",
"included" : true
},
{
"value" : "Detailed description of the Nymphéas from Claude Monet",
"included" : true
},
{
"value" : "Interesting stories of many great artists and their lives",
"included" : true
},
{
"value" : "An easy walkthrough of the Musée d'Orsay and the Musée de l'Orangerie and their great collection",
"included" : true
},
{
"value" : "Headphones — you should bring your own",
"included" : false
}
],
"price" : {
"priceConcession" : null,
"priceChild" : null,
"price" : 57,
"currency" : ObjectId("6210fa7746bee3fcbd0aca2f"),
"_id" : ObjectId("6210fa8746bee3fcbd0ad064")
},
"detail" : {
"isPass" : false,
"features" : [
{
"key" : "audio_guide",
"value" : "Audio Guide"
}
],
"highlights" : [
"Admire the masterpieces by Monet, Renoir, Degas, Cézanne, and many more",
"Discover one of the finest collections of Impressionist art in the world",
"Visit the Nymphéas by Monet, one of the greatest pieces of Impressionism",
"Explore the Guillaume and Walter collection and find out what makes it unique"
],
"details" : [ ],
"images" : [
{
"id" : 7270,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/dsc04800/01d0770dcc0cac4c6de0f6eae70742f6.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/dsc04800.jpg"
},
{
"id" : 7269,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/nympheasannees30salle1parisiennephotorogerviolet/e1270aef1c01391290df71d1f83c8abc.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/nympheasannees30salle1parisiennephotorogerviolet.jpg"
},
{
"id" : 7268,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/ob1f7c80dsc02414-large/7712cb29e133ee3acb4b2bffbc2ac654.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/ob1f7c80dsc02414-large.jpg"
},
{
"id" : 7267,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/tuileriesgardensb16dsc00678talrg/47430ab8a257e3ccd2337d7a0d750c57.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/tuileriesgardensb16dsc00678talrg.jpg"
},
{
"id" : 7266,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/009/54223ef27aac5cd94fe5c20893abf2de.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/009.jpg"
},
{
"id" : 7264,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/monet-morning-with-weeping-willow/09bf842cc9a9d7eade8d0739f704699f.jpg",
"full" : "https://app.wegotrip.com/media/store/1117/monet-morning-with-weeping-willow.jpg"
}
],
"duration" : 2,
"_id" : ObjectId("6210fa8746bee3fcbd0ad065")
},
"availability" : null,
"subcategory" : [
{
"id" : 6,
"title" : "Sightseeing Tickets & Passes",
"slug" : "sightseeing-tickets-passes"
}
],
"category" : [
{
"id" : 6,
"title" : "Sightseeing Tickets & Passes",
"slug" : "sightseeing-tickets-passes"
}
],
"type" : "Audio Guide",
"description" : "Visit the famous Musee d'Orsay and Musée de l'Orangerie in Paris with this combined self-guided tour! \r\n\r\nNavigate through the maze of exhibition rooms with mobile app and see a collection of works by the Impressionists and Expressionists – Seurat, Cezanne, Gaugin, Monet, Renoir, Manet, Van Gogh, Degas; sculptors like Rodin, Pompon and others. Check out a mini-version of the Statue of Liberty! \r\n\r\nExplore the Nymphéas paintings by Claude Monet, that is called \"the Sistine chapel of Impressionism\". Admire the great works of Picasso, Soutine, Rousseau, Matisse and many others part of the Paul Guillaume and Jean Walter collection. Learn about the style and private life of the artists.\r\n\r\nThe audio-guide will provide you with all the information on the cultural significance of these paintings. Walking through rooms you will understand how revolutionary for those times Manet’s, Cezanne’s and Degas’ creation really was casting doubts on conservative, academic conceptions of 'true art' and offering new techniques and ideas.",
"thumbnail" : "https://app.wegotrip.com/media/CACHE/images/store/1117/013/c0b8cce52cb61ab1f30872e6e93385b4.jpg",
"name" : "Musée d'Orsay/Musée de l'Orangerie Combined Admission Ticket & Audio Tour",
"attractionDescription" : "",
"attractionName" : "Musée d'Orsay & Musée de l'Orangerie",
"attraction" : ObjectId("6210fa8746bee3fcbd0ad056"),
"provider" : {
"rating" : {
"count" : 0,
"average" : null,
"_id" : ObjectId("6210fa8746bee3fcbd0ad067")
},
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/1117/013/c0b8cce52cb61ab1f30872e6e93385b4.jpg",
"slug" : "muse-d-orsay-and-musee-de-l-orangerie-combined-tour-ticket",
"id" : "1117",
"key" : "1",
"_id" : ObjectId("6210fa8746bee3fcbd0ad066")
},
"__v" : 0
}
{
"_id" : ObjectId("6210fa7c46bee3fcbd0acc21"),
"book" : "https://wegotrip.com/en/barcelona-d1/the-dali-museum-in-figueres-p3/?SUB_ID=336264",
"address" : "Pujada del Castell, 43",
"countryName" : "Spain",
"cityName" : "Barcelona",
"location" : {
"lang" : 42.26829425831263,
"lat" : 2.95884132385254,
"country" : ObjectId("6210fa7746bee3fcbd0aca3e"),
"city" : ObjectId("6210fa7746bee3fcbd0aca3a"),
"location" : "Pujada del Castell, 43",
"_id" : ObjectId("6210fa7c46bee3fcbd0acc22")
},
"includes" : [
{
"value" : "Recommendations of places to visit to understand the life of Dali better",
"included" : true
},
{
"value" : "Skip-the-line ticket to Dali Theatre-Museum",
"included" : true
},
{
"value" : "Headphones — you should bring your own",
"included" : false
}
],
"price" : {
"priceConcession" : null,
"priceChild" : null,
"price" : 33,
"currency" : ObjectId("6210fa7746bee3fcbd0aca2f"),
"_id" : ObjectId("6210fa7c46bee3fcbd0acc23")
},
"detail" : {
"isPass" : false,
"features" : [
{
"key" : "audio_guide",
"value" : "Audio Guide"
}
],
"highlights" : [
"Discover Dali's surrealism starting with the building of the museum — it's definitely one of a kind",
"Inside the museum you'll find the most famous and controversial works of the artist",
"Our tour will provide you with insights and exiting facts about Dali's works"
],
"details" : [ ],
"images" : [
{
"id" : 6916,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/figueres-oleguer2/032b55c27bb2cd119bdc7fe6c4b86491.jpeg",
"full" : "https://app.wegotrip.com/media/store/3/figueres-oleguer2.jpeg"
},
{
"id" : 6915,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/sky-monument-statue-golden-museum-yellow-1156442-pxherecom/28c645449a9f45ec1e8ede7b7ffbe30f.jpg",
"full" : "https://app.wegotrip.com/media/store/3/sky-monument-statue-golden-museum-yellow-1156442-pxherecom.jpg"
},
{
"id" : 6914,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/architecture-window-museum-landmark-surrealism-catalonia-800928-pxherecom/43691ba6aecc2ee084c300c150e32a03.jpg",
"full" : "https://app.wegotrip.com/media/store/3/architecture-window-museum-landmark-surrealism-catalonia-800928-pxherecom.jpg"
},
{
"id" : 831,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/figueres-oleguers3k6yoz/b9c3093c79cf50e621e022706af59ad6.jpg",
"full" : "https://app.wegotrip.com/media/store/3/figueres-oleguers3k6yoz.jpg"
},
{
"id" : 832,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/shutterstock82210018/2a2450d4f75edf4549d36f2286b6f19b.jpg",
"full" : "https://app.wegotrip.com/media/store/3/shutterstock82210018.jpg"
},
{
"id" : 833,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/dali-museum-8983261920/aa0d93e475c7b7388bee88ff14f8d795.jpg",
"full" : "https://app.wegotrip.com/media/store/3/dali-museum-8983261920.jpg"
},
{
"id" : 834,
"description" : "",
"cover" : false,
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/3/shutterstock196896461/74fc427d0a27f0aa199ed24f4c51bcc5.jpg",
"full" : "https://app.wegotrip.com/media/store/3/shutterstock196896461.jpg"
}
],
"duration" : 2,
"_id" : ObjectId("6210fa7c46bee3fcbd0acc24")
},
"availability" : null,
"subcategory" : [
{
"id" : 3,
"title" : "Theme Tours",
"slug" : "theme-tours"
},
{
"id" : 1,
"title" : "Culture & History",
"slug" : "culture-and-history"
},
{
"id" : 6,
"title" : "Sightseeing Tickets & Passes",
"slug" : "sightseeing-tickets-passes"
}
],
"category" : [
{
"id" : 3,
"title" : "Theme Tours",
"slug" : "theme-tours"
},
{
"id" : 1,
"title" : "Culture & History",
"slug" : "culture-and-history"
},
{
"id" : 6,
"title" : "Sightseeing Tickets & Passes",
"slug" : "sightseeing-tickets-passes"
}
],
"type" : "Audio Guide",
"description" : "The Dalí Theatre and Museum is a museum of the artist Salvador Dalí in his home town of Figueres, in Catalonia, Spain. Dalí is buried there in a crypt below the stage. \r\n\r\nImmerse yourself in an exciting journey through the world of the genius of surrealism. Reveal the meaning of his ambiguous creations and learn the history of the artist's life. Enjoy the unique world of Dali in this excursion.",
"thumbnail" : "https://app.wegotrip.com/media/CACHE/images/store/001_Ispaniya_Figeras_Teatr-01/783c3a10c34eb40c29f14f704cd9c8d1.jpeg",
"name" : "The Dali Theatre-Museum: Skip-the-Line & Audio Tour",
"attractionDescription" : "",
"attractionName" : "Dali Theatre and Museum",
"attraction" : ObjectId("6210fa7c46bee3fcbd0acc15"),
"provider" : {
"rating" : {
"count" : 0,
"average" : null,
"_id" : ObjectId("6210fa7c46bee3fcbd0acc26")
},
"preview" : "https://app.wegotrip.com/media/CACHE/images/store/001_Ispaniya_Figeras_Teatr-01/783c3a10c34eb40c29f14f704cd9c8d1.jpeg",
"slug" : "the-dali-museum-in-figueres",
"id" : "3",
"key" : "1",
"_id" : ObjectId("6210fa7c46bee3fcbd0acc25")
},
"__v" : 0
}
Both of the above have detail.duration set to 2 and as per query, these 2 should have each other considered as a deal and found in result docs, but query returns deals: [], an empty array. I'm unable to figure out the problem.
From $match (Restrictions)
The $match query syntax is identical to the read operation query syntax; i.e. $match does not accept raw aggregation expressions. To include aggregation expression in $match, use a $expr query expression.
And you need to use $$ to get the variable value.
let
To reference variables in pipeline stages, use the "$$" syntax.
Change the $match stage in the pipeline as:
{
$match: {
_id: {
$ne: "$$id"
},
$expr: {
$eq: [
"$detail.duration",
"$$duration"
]
}
}
}
Sample Mongo Playground

Is there a way to find and replace all occurence of a string in mongoDB Collection?

I am having a document like this.
{
"_id" : "59a82381362a337f2b50afb2",
"title" : "First Page here",
"slug" : "first-page-here",
"header_image" : null,
"status" : "active",
"seo" : {
"meta_title" : "First page",
"meta_content" : "Firts page for Tareto",
"meta_description" : "Tarento to have a first page"
},
"sections" : [
{
"title" : null,
"position" : "0",
"columns" : [
{
"column_size" : "12",
"column_type" : "Text",
"column_title" : null,
"blocks" : {
"block_id" : "1",
"block_type" : "Text",
"block_title" : null,
"block_contents" : "First page test",
"block_image" : null,
"block_image_width" : null,
"block_image_height" : null,
"block_image_alt_text" : null,
"block_image_align" : null
}
}
]
},
{
"title" : null,
"position" : "1",
"columns" : [
{
"column_size" : "12",
"column_type" : "Accordion",
"column_title" : null,
"blocks" : {
"block_id" : "2",
"block_type" : "Accordion",
"block_title" : null,
"block_contents" : null,
"block_image" : null,
"block_image_width" : null,
"block_image_height" : null,
"block_image_alt_text" : null,
"block_image_align" : null,
"block_child" : [
{
"title" : "Accordion section 1",
"description" : "First page test"
},
{
"title" : "Accordion Section 2 first page",
"description" : "First page"
},
{
"title" : "Accordion Section 3",
"description" : "first page"
}
]
}
}
]
}
],
"website_id" :"59a8227e362a337be32c6392"}
I would like to replace "first page" in the collection to "last page". The string which I am looking for can comes under any object.
I tried this query
db.pages.find({"_id":ObjectId("59a82381362a337f2b50afb2")}).forEach(function(url,k){ url.seo.meta_content=url.seo.meta_content.replace("Firts page for Tareto","First page for Tarento"); db.pages.save(url) });
The query update the meta content under seo.
I would like to do find and replace for the complete collection. Please help me on this.

Query Mongo for multiple key value pair combinations in array field

I am trying to query for Mongo documents based on 1 many key value pairs over a large collection of documents.
I am storing the values in an array called descriptors. I cannot figure out to write the query to consistently return results.
Basically I am trying to write the following SQL query in Mongo
select * from descriptors where
(id=123 and value="Latest based on new infor")
or
(id=3221 and value="Latest new info")
I have tried the following:
db.collection.find({$or: [
{ descriptors:
{
'$elemMatch':
{
id: 123,
value: 'Latest based on new infor',
}
}
},
{ descriptors:
{
'$elemMatch':
{
id: 3221,
value: 'Latest new info',
}
}
}
]
}
Here are sample documents.
{
"_id" : ObjectId("569d62673b020a47f0401325"),
"descriptors" : [
{
"id" : 123,
"name" : "Version",
"value" : "Latest based on new infor",
"parent" : null
},
{
"id" : 345,
"name" : "Eligibility Criteria",
"value" : "Really qualified ",
"parent" : null
}
],
}
{
"_id" : ObjectId("569dac2e4e6247c01bbac47f"),
"descriptors" : [
{
"id" : 3221,
"name" : "Version",
"value" : "Latest new info",
"parent" : null
},
{
"id" : 345,
"name" : "Eligibility Criteria",
"value" : "Different Value",
"parent" : null
}
],
}
{
"_id" : ObjectId("56bce4df7aae8369d8fc705d"),
"descriptors" : [
{
"id" : 3221,
"name" : "Version",
"value" : "Latest based on new infor",
"parent" : null
},
{
"id" : 345.0,
"name" : "Eligibility Criteria",
"value" : "Really qualified",
"parent" : null
}
],
}
Any help would be appreciated,
gsvi

need to find a way to get data inside subdocument in mongo

I need a way to find inside nested array documents.
I want to find value matching inside street_1.
this is my query:
db.phonebook.find({'address.home.street_1' : 'street 1 result'});
and my document:
{
"_id" : ObjectId("53788c0c74d3ead0098b4568"),
"first_name" : "jarod",
"last_name" : "petters",
"company" : "nostromos",
"phone_numbers" : [
{
"cell" : "0752203337"
},
{
"home" : "0850819201"
},
{
"home" : "0499955550"
}
],
"website" : "http://www.mywebsite.com",
"email" : [
{
"home" : "email.first.com"
},
{
"office" : "email.second.com"
}
],
"address" : [
{
"home" : {
"stree_1" : "street 1 result",
"stree_2" : "",
"postal_code" : "66502",
"city" : "my littre city",
"country" : "usa"
}
}
],
"nationality" : "mars",
"date_of_birth" : "1978-01-01"
}
Your query is the good one. But your document is not good, you have done a mistake in your document, you write stree_1 instead of street_1. If your document is right, change your query to :
db.phonebook.find({'address.home.stree_1' : 'street 1 result'});

How to get exact document result from key value type of embedded documents

Let say I have this kind of document structured, the attributes field will be the embedded document
and I've already indexed the attributes.key and attributes.value
1-------------------------------------------------------------------------------------
{
"_id" : ObjectId( "5191d8e5d00560402e000001" ),
"attributes" : [
{ "key" : "pobox","value" : "QaKUWo" },
{ "key" : "city", "value" : "CBDRip" },
{ "key" : "address","value" : "zmycAa" } ],
"email" : "FWAUdl_2#email.com",
"firstname" : "FWAUdl_2"
}
2-------------------------------------------------------------------------------------
{
"_id" : ObjectId( "5191d8e7d00560402e000055" ),
"attributes" : [
{ "key" : "pobox", "value" : "sNFriy" },
{ "key" : "city", "value" : "JPdVrI" },
{ "key" : "address", "value" : "phOluW" } ],
"email" : "hqYNWH_86#email.com",
"firstname" : "hqYNWH_86"
}
My problem is how to get exact document when querying based only on the attributes field,
db.app.find({ attributes.key:address , attributes.value:/.*uw.*/i })
The query result is not as I expected, it should result only the 2nd document only without the 1st document.
I know that I put regex on the attributes.value, I was expecting that it only check for attributes.key that have address value.
And what if I want to filter another key, such like,
db.app.find({ attributes.key:address , attributes.value:/.*uw.*/i , attributes.key:city , attributes.value:/.*ri.*/i })
Any opinion will be helpful guys.
Thx.
I guess you need $elemMatch ( http://docs.mongodb.org/manual/reference/operator/elemMatch/ )
db.test123.find({ attributes : { $elemMatch : { 'key':"address" , 'value':/.*uw.*/i } } }).pretty()
{
"_id" : ObjectId("5191d8e7d00560402e000055"),
"attributes" : [
{
"key" : "pobox",
"value" : "sNFriy"
},
{
"key" : "city",
"value" : "JPdVrI"
},
{
"key" : "address",
"value" : "phOluW"
}
],
"email" : "hqYNWH_86#email.com",
"firstname" : "hqYNWH_86"
}
Just investigated a little and figured out following. The following uses the index mentioned below. You can do a explain() on the find() to check more index usage details
db.testing.getIndexKeys()
[ { "_id" : 1 }, { "attributes.key" : 1, "attributes.value" : 1 } ]
test:Mongo > db.testing.find({$and : [ { attributes : {$elemMatch : {key : 'address', value : /.*uw.*/i }} }, { attributes : {$elemMatch : {key : 'city', value : /.*ri.*/i }} }] }).pretty()
{
"_id" : ObjectId("5191d8e7d00560402e000055"),
"attributes" : [
{
"key" : "pobox",
"value" : "sNFriy"
},
{
"key" : "city",
"value" : "JPdVrI"
},
{
"key" : "address",
"value" : "phOluW"
}
],
"email" : "hqYNWH_86#email.com",
"firstname" : "hqYNWH_86"
}