Below is the schema for an array contacts. The contacts array has a field hashtag which is another array. How do I delete an element openLove from the array Hashtags?
"contacts" : [
{
"addedDate" : ISODate("2015-12-02T09:06:09.891Z"),
"personEmailId" : "tell.fadgfdg#gmail.com",
"_id" : ObjectId("565eb481bf35eeb83d7f9f13"),
"verified" : true,
"favorite" : true,
"linkedinUserName" : null,
"facebookUserName" : null,
"twitterUserName" : "IamlifePaul",
"count" : 2,
"relationshipStrength_updated" : 0,
"contactRelation" : {
"decisionmaker_influencer" : null,
"prospect_customer" : "prospect"
},
"source" : "abc",
"mobileNumber" : "3546789",
"skypeId" : "123",
"designation" : "test",
"companyName" : "Something",
"location" : "Hyderabad, Telangana, India",
"personName" : "Naveen Paul",
"personId" : "565022d7dbeaeb9e17fc7083",
"hashtag" : [
"latestTag",
"anotherTag",
"#hash",
"openLove",
"hellTwo",
"working?",
"hello",
"lol",
"zxc"
],
"lastInteracted" : ISODate("2015-12-08T05:07:53.746Z")
},
{
"addedDate" : ISODate("2015-12-02T09:06:09.891Z"),
"personEmailId" : "naveenpaul.fadgfdg#gmail.com",
"_id" : ObjectId("565eb481bf35eeb83d7f9f13"),
"verified" : true,
"favorite" : true,
"linkedinUserName" : null,
"facebookUserName" : null,
"twitterUserName" : "IamlifePaul",
"count" : 2,
"relationshipStrength_updated" : 0,
"contactRelation" : {
"decisionmaker_influencer" : null,
"prospect_customer" : "prospect"
},
"source" : "abc",
"mobileNumber" : "3546789",
"skypeId" : "123",
"designation" : "test",
"companyName" : "Something",
"location" : "Hyderabad, Telangana, India",
"personName" : "Naveen Paul",
"personId" : "565022d7dbeaeb9e17fc7083",
"hashtag" : [
"latestTag",
"anotherTag",
"#hash",
"openLove",
"hellTwo",
"working?",
"hello",
"lol",
"zxc"
],
"lastInteracted" : ISODate("2015-12-08T05:07:53.746Z")
},
{
"addedDate" : ISODate("2015-12-02T09:06:09.891Z"),
"personEmailId" : "naveenpaul.fadgfdg#gmail.com",
"_id" : ObjectId("565eb481bf35eeb83d7f9f13"),
"verified" : true,
"favorite" : true,
"linkedinUserName" : null,
"facebookUserName" : null,
"twitterUserName" : "IamlifePaul",
"count" : 2,
"relationshipStrength_updated" : 0,
"contactRelation" : {
"decisionmaker_influencer" : null,
"prospect_customer" : "prospect"
},
"source" : "abc",
"mobileNumber" : "3546789",
"skypeId" : "123",
"designation" : "test",
"companyName" : "Something",
"location" : "Hyderabad, Telangana, India",
"personName" : "Naveen Paul",
"personId" : "565022d7dbeaeb9e17fc7083",
"hashtag" : [
"polly",
"tagger",
"#hash",
"working?",
"hello",
"lol",
"zxc"
],
"lastInteracted" : ISODate("2015-12-08T05:07:53.746Z")
}
How do I delete an element from the array Hashtags?
for example remove openLove?
You would normally do this using the positional operator $ as follows:
db.collection.update(
{ "contacts.hashtag": "openLove" },
{
"$pull": {
"contacts.$.hashtag": "openLove"
}
}
)
However, as this only supports one-level deep arrays (the positional $ operator acts as a placeholder for the first element that matches the query document), only the first element that matches the query document is removed. There is a JIRA trackable for this here: https://jira.mongodb.org/browse/SERVER-831
If you know the index of the hashtags array that has the elememt to be removed beforehand then the update query will be:
db.collection.update(
{ "contacts.hashtag": "openLove" },
{
"$pull": {
"contacts.0.hashtag": "openLove",
"contacts.1.hashtag": "openLove"
}
}
)
Consider redesigning your schema to avoid nested arrays so that you can normalize your collection by creating a separate contacts collection where each document represents a contact, with information common to a set of contacts duplicated in the original collection. Something like the following:
collection schema:
{
_id: collection_id,
contacts: [
ObjectId("565eb481bf35eeb83d7f9f13"),
ObjectId("565eb481bf35eeb83d7f9f14"),
ObjectId("565eb481bf35eeb83d7f9f15")
]
}
contacts schema:
{
"addedDate" : ISODate("2015-12-02T09:06:09.891Z"),
"personEmailId" : "tell.fadgfdg#gmail.com",
"_id" : ObjectId("565eb481bf35eeb83d7f9f13"),
...
"hashtag" : [
"latestTag",
"anotherTag",
"#hash",
"openLove",
"hellTwo",
"working?",
"hello",
"lol",
"zxc"
],
"lastInteracted" : ISODate("2015-12-08T05:07:53.746Z")
},
{
"addedDate" : ISODate("2015-12-02T09:06:09.891Z"),
"personEmailId" : "naveenpaul.fadgfdg#gmail.com",
"_id" : ObjectId("565eb481bf35eeb83d7f9f14"),
...
"hashtag" : [
"latestTag",
"anotherTag",
"#hash",
"openLove",
"hellTwo",
"working?",
"hello",
"lol",
"zxc"
],
"lastInteracted" : ISODate("2015-12-08T05:07:53.746Z")
},
{
"addedDate" : ISODate("2015-12-02T09:06:09.891Z"),
"personEmailId" : "naveenpaul.eewsdf#gmail.com",
"_id" : ObjectId("565eb481bf35eeb83d7f9f15"),
...
"hashtag" : [
"polly",
"tagger",
"#hash",
"working?",
"hello",
"lol",
"zxc"
],
"lastInteracted" : ISODate("2015-12-08T05:07:53.746Z")
}
Updating the contacts collection would be easier, simply run the operation
db.contacts.update(
{ "hashtag": "openLove" },
{
"$pull": { "hashtag": "openLove" }
}
)
If redesigning the schema is out of your scope then you would need a mechanism to dynamically generate the update document i.e. create the $pull object on the fly. Consider using Map-Reduce to generate that, this answer details the whole operation concept.
With the help of chridam's answer, I got it to work by using the object Id of each contact.
db.user.update(
{ "contacts._id": ObjectId("5680f392e623e8b2107e6465") },
{
"$pull": {
"contacts.$.hashtag": "openLove"
}
})
This is almost what I need, however the $ positional indicator only matches the FIRST top level array element, and my scenario includes the possibility (just like the OP) that the value we want to remove can occur in multiple index positions.
To remove the value from ALL top level array elements, use this instead:
db.user.update(
{ "contacts._id": ObjectId("5680f392e623e8b2107e6465") },
{
"$pull": {
"contacts.$[].hashtag": "openLove"
}
})
Related
I have following document:
{
"subscriptionIds" : [
ObjectId("60c312c6dbb5a49fbbf560ea")
],
"gps" : {
"type" : "Point",
"coordinates" : [
23.942706,
54.932539
]
},
"online" : false,
"suspended" : false,
"hwModel" : "",
"fw" : "",
"lastSeen" : ISODate("2021-06-16T04:43:36.682Z"),
"lastSimRequest" : ISODate("2021-06-16T04:34:59.749Z"),
"lastLocation" : "LT",
"lastLocationType" : "gps",
"createdAt" : ISODate("2021-05-20T10:37:16.025Z"),
"updatedAt" : ISODate("2021-06-11T07:37:56.981Z"),
"notes" : "",
"psk_seed" : "QTAebOeNP4nIs-JJSNNlkAQ78N_VaxOq98-_lQPCyZQ=",
"lastOnline" : ISODate("2021-06-15T08:01:59.886Z"),
"lastOffline" : ISODate("2021-06-16T04:43:36.682Z"),
"onlineReason" : "deviceOnlineStatusFromAC",
"offlineReason" : "deviceOfflineStatusTimeout",
"allocationSettings" : "dataplan",
"subscriptionDataplans" : [
{
"_id" : ObjectId("5fae82fc1224cc8d62b5bf17"),
"organizationId" : ObjectId("5dd63d1c1d042f3018e8374e"),
"organizationName" : "",
"name" : "Naujas plan Telia 75GB",
"enabled" : true,
"contractsId" : [
ObjectId("5e32847ab8013befcc14bb1b"),
ObjectId("5e32847ab8013befcc14bb1b")
],
"simQuota" : 0,
"periodQuota" : NumberLong(0),
"allocationRules" : null,
"createdAt" : ISODate("2020-11-13T12:58:36.650Z"),
"updatedAt" : ISODate("2021-06-14T08:08:28.728Z"),
"notes" : "",
"allowRoaming" : false,
"enablePriorityOrdering" : false,
"priorityOrdering" : ""
},
{
"_id" : ObjectId("5fcf25662b1c7d9bab8c1f7d"),
"organizationId" : ObjectId("5dd63d1c1d042f3018e8374e"),
"organizationName" : "",
"name" : "London test",
"enabled" : true,
"contractsId" : [
ObjectId("5e5dfea1efcf754767408eae")
],
"simQuota" : 0,
"periodQuota" : NumberLong(0),
"createdAt" : ISODate("2020-12-08T07:04:06.255Z"),
"updatedAt" : ISODate("2021-06-15T09:28:07.472Z"),
"notes" : "",
"allowRoaming" : true,
"enablePriorityOrdering" : false,
"priorityOrdering" : ""
}
],
}
Is there a way to make following array using "_id" and "allowRoaming" fields:
"dataplanRoaming": [
{
"_id" : ObjectId("5fae82fc1224cc8d62b5bf17"),
"allowRoaming" : false,
},
{
"_id" : ObjectId("5fcf25662b1c7d9bab8c1f7d"),
"allowRoaming" : true,
}
]
My best result was, I tried using project, addFields etc still can't get structure which I want. Rest of query works just fine just missing this part
"dataplanRoaming" : [
[
false,
true
],
[
ObjectId("5fae82fc1224cc8d62b5bf17"),
ObjectId("5fcf25662b1c7d9bab8c1f7d")
]
],
I hoped that {$addFields:{dataplanRoaming:["$subscriptionDataplans.allowRoaming", "$subscriptionDataplans._id"]}},
would give me wanted result it just made array with _id and allowRoaming as separates fields?
Is there a way to create my wanted result using aggregation etc?
$map to iterate loop of subscriptionDataplans and return needed feidls
db.collection.aggregate([
{
$addFields: {
dataplanRoaming: {
$map: {
input: "$subscriptionDataplans",
in: {
_id: "$$this._id",
allowRoaming: "$$this.allowRoaming"
}
}
}
}
}
])
Playground
I am trying to do a transformation from one data structure to another and am using NoSQL Booster as I feel more comfortable using SQL queries than I do using Mongo script, a little lazy but its worked for me thus far.
I have a document which has a an array of line items which represents a sales receipt. The line items are the items sold.
I have used the following SQL query to generate Mongo script to select and then rename values from one document to create another. Where I'm stuck is in selecting from an array some fields and renaming them into a new document within a new array.
mb.runSQLQuery(`
SELECT object_origin,
party_uuid AS company,
connection_uuid AS connection,
object_created AS object_creation_date,
"object_raw_origin_data.register_sales.sale_date" AS transaction_date,
"object_raw_origin_data.register_sales.total_price"
+ "object_raw_origin_data.register_sales.total_tax" AS transaction_gross_value,
"object_raw_origin_data.register_sales.total_price" AS transaction_net_value,
'goods-service-transaction' AS object_class,
'point-of-sale' AS object_origin_category,
'offline' AS object_origin_type,
object_origin AS object_origin,
"object_raw_origin_data.register_sales.invoice_number" AS transaction_reference,
"object_raw_origin_data.register_sales.status" AS transaction_status,
'GBP' AS transaction_currency,
"object_raw_origin_data.register_sales.sale_products.name" AS 'line_items.item_name'
FROM Vend_raw_transactions
`)
The query above works all except the last line which creates an object in the document called line_items but it isn't an array. The source is also an array.
Below is the Mongo script it creates for me:
db.Vend_raw_transactions.aggregate(
[{
"$project": {
"object_origin": "$object_origin",
"company": "$party_uuid",
"connection": "$connection_uuid",
"object_creation_date": "$object_created",
"transaction_date": "$object_raw_origin_data.register_sales.sale_date",
"transaction_gross_value": {
"$add": [
"$object_raw_origin_data.register_sales.total_price",
"$object_raw_origin_data.register_sales.total_tax"
]
},
"transaction_net_value":
"$object_raw_origin_data.register_sales.total_price",
"object_class": "goods-service-transaction",
"object_origin_category": "point-of-sale",
"object_origin_type": "offline",
"transaction_reference":
"$object_raw_origin_data.register_sales.invoice_number",
"transaction_status": "$object_raw_origin_data.register_sales.status",
"transaction_currency": "GBP",
"line_items.item_name":
"$object_raw_origin_data.register_sales.sale_products.name"
}
}])
Does anyone know why the last line isn't working for me?
"line_items.item_name": "$object_raw_origin_data.register_sales.sale_products.name"
I'm pretty sure I'm missing an [*] somewhere. Thanks, Matt
EDITED TO ADD example of Vend Transaction
{
"object_category" : "application",
"object_type" : "register-sales-24-months",
"object_origin" : "vend",
"tenant_uuid" : "00000000-0000-0009-9999-999999999999",
"party_uuid" : "8d519765-05d2-469f-ad35-d7a22fa9df2f",
"subscription_uuid" : "0",
"connection_uuid" : "6ed9bd79-d9c5-4296-a821-7e15b1c69e6c",
"status" : "",
"object_created" : ISODate("2018-03-15T21:40:57.158+0000"),
"object_raw_origin_data" : {
"pagination" : {
"results" : NumberInt(75964),
"page" : NumberInt(1),
"page_size" : NumberInt(200),
"pages" : NumberInt(380)
},
"register_sales" : {
"id" : "776a66f2-993c-b372-11e8-26f9bbe253f4",
"source" : "USER",
"source_id" : "",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"market_id" : "3",
"customer_id" : "02d59481-b67d-11e5-f667-b08185e8f6d5",
"customer_name" : "",
"customer" : {
"id" : "02d59481-b67d-11e5-f667-b08185e8f6d5",
"name" : "",
"customer_code" : "WALKIN",
"customer_group_id" : "02d59481-b67d-11e5-f667-b08185e893f8",
"customer_group_name" : "All Customers",
"updated_at" : "2016-01-01 12:16:44",
"deleted_at" : "",
"balance" : "0",
"year_to_date" : "0",
"date_of_birth" : "",
"sex" : "",
"custom_field_1" : "",
"custom_field_2" : "",
"custom_field_3" : "",
"custom_field_4" : "",
"note" : "",
"contact" : {
}
},
"user_id" : "02d59481-b655-11e5-f667-dca974edc4ea",
"user_name" : "Alvaro Velosa",
"sale_date" : "2018-03-13 20:04:57",
"created_at" : "2018-03-13 20:05:08",
"updated_at" : "2018-03-13 20:05:08",
"total_price" : 3.5,
"total_cost" : 2.74,
"total_tax" : NumberInt(0),
"tax_name" : "No Tax",
"note" : "",
"status" : "CLOSED",
"short_code" : "newa6f",
"invoice_number" : "Masonic2107Temple",
"accounts_transaction_id" : "",
"return_for" : "",
"register_sale_products" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9cbf10f10",
"product_id" : "02dcd191-ae55-11e7-f130-9d4f4bcd91b1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"sequence" : "0",
"handle" : "LAGERDRAUGHT300",
"sku" : "10287",
"name" : "LAGER DRAUGHT £3.00",
"quantity" : NumberInt(1),
"price" : 3.5,
"cost" : 2.74,
"price_set" : NumberInt(0),
"discount" : NumberInt(0),
"loyalty_value" : NumberInt(0),
"tax" : NumberInt(0),
"tax_id" : "02d59481-b67d-11e5-f667-b08185ec2871",
"tax_name" : "No Tax",
"tax_rate" : NumberInt(0),
"tax_total" : NumberInt(0),
"price_total" : 3.5,
"display_retail_price_tax_inclusive" : "0",
"status" : "CONFIRMED",
"attributes" : [
{
"name" : "line_note",
"value" : ""
}
]
}
],
"totals" : {
"total_tax" : NumberInt(0),
"total_price" : 3.5,
"total_payment" : 3.5,
"total_to_pay" : NumberInt(0)
},
"register_sale_payments" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9cd75e9aa",
"payment_type_id" : "1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"retailer_payment_type_id" : "02d59481-b655-11e5-f667-b0a23bc0e7bc",
"name" : "Cash",
"label" : "Account Customer",
"payment_date" : "2018-03-13 20:04:57",
"amount" : NumberInt(10)
},
{
"id" : "776a66f2-993c-b372-11e8-26f9cd7a3096",
"payment_type_id" : "1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"retailer_payment_type_id" : "02d59481-b655-11e5-f667-b0a23bc0e7bc",
"name" : "Cash",
"label" : "Account Customer",
"payment_date" : "2018-03-13 20:04:57",
"amount" : -6.5
}
]
}
}
}
Use the $map operator to shape the field to an array by mapping the array elements to the item_name key:
"line_items": {
"$map": {
"input": "$object_raw_origin_data.register_sales.register_sale_products",
"as": "product",
"in": { "item_name": "$$product.name" }
}
}
Output
"line_items" : [
{
"item_name" : "LAGER DRAUGHT £3.00"
}
]
I have a query below that extracts a couple of values from a large nested document. It tells me the user id and the first item name for each order.
This works fine, however I want it to only return the record where the first item's name is not null and is not blank. I can't figure out how to add a second query to the $match operator below to achieve this
db.getCollection('Orders').aggregate
([
{ $match : { "Items.1" : { $exists : true }}, ???},
{ $project: {
_id:0,
'UserId': '$User.EntityId',
'ItemName': {$arrayElemAt: ['$Items.Details.ItemName', 0]}
}
}
]);
Edited to show sample document
{
"_id" : "order-666156",
"State" : "ValidationFailed",
"LastUpdated" : {
"DateTime" : ISODate("2017-09-26T08:54:16.241Z"),
"Ticks" : NumberLong(636420128562417375)
},
"SourceOrderId" : "666156",
"User" : {
"EntityId" : NumberLong(34450),
"Name" : "Bill Baker",
"Country" : "United States",
"Region" : "North America",
"CountryISOCode" : "US",
},
"Region" : null,
"Currency" : null,
"Items" : [
{
"ClientOrderId" : "18740113",
"OrigClientOrderId" : "18740113",
"Quantity" : NumberDecimal("7487.0"),
"TransactDateTime" : {
"DateTime" : Date(-62135596800000),
"Ticks" : NumberLong(0)
},
"Text" : null,
"LocateRequired" : false,
"Details" : {
"ItemName" : "Test Item 1",
"ItemCost" : 1495.20
}
},
{
"ClientOrderId" : "18740116",
"OrigClientOrderId" : "18740116",
"Quantity" : NumberDecimal("241.0"),
"TransactDateTime" : {
"DateTime" : Date(-62135596800000),
"Ticks" : NumberLong(0)
},
"Text" : null,
"LocateRequired" : false,
"Details" : {
"ItemName" : "Test Item 2",
"ItemCost" : 2152.64
}
}
]
}
You need to add the two conditions to your existing $match (not null and not blank) to check the Items as:
$match : { "Items.1" : { $exists : true, "$ne": null,"$ne":""}
If you want to check the element Items[0].Details.ItemName you can doing using the operator $and
{ $match : {
$and: [
{"Items.1" : { $exists : true }},
{"Items.Details.ItemName" : { $ne : null}},
{"Items.Details.ItemName" : { $ne : ""}},
]
}},
in my sails controller I have implement a function to find users. but when I try to search using ObjectId it returns all the data. I couldn't find any reason. but it works when I create a new separate field as "userID", and find using "userID". I think the problem is find using the "ObjectId" what could be the issue.
module.exports = {
updateOrders : function(req,res){
var ObjectId = require('mongodb').ObjectID;
console.log("req " + req);
var data = req.body;
var obj = [];
console.log("\ndata "+(data));
var jdata = JSON.stringify(data);
console.log("\njdata: "+jdata);
data.forEach(function(orders){
var objid = ObjectId(orders.id);
console.log("Obj orders id :" + objid);
ApplicationOrder.find({id: ObjectId(orders.id)}).exec(function (err, order) {
if (err){
return done(err);
}
console.log('order ' + order);
obj.push(order);
});
})
res.send(obj);
}
};
Json data: printed in the console.
{
"_id" : ObjectId("59a8f820caf1cae37af72c0c"),
"appId" : "59a669431954a69e37c20b69",
"registeredUser" : "59a677811954a69e37c20b73",
"item" : [
{
"id" : "59a669441954a69e37c20b70",
"name" : "Short x",
"qty" : 1,
"sku" : "1111",
"totWeight" : null,
"price" : "250",
"total" : "250",
"imgURL" : [
{
"img" : "short_x.png"
}
],
"totalQty" : 218
}
],
"amount" : "250",
"customerName" : "dilakshan",
"deliverName" : "dilakshan",
"deliveryNo" : "11010",
"deliveryStreet" : "delgoda",
"deliveryCity" : "kandana",
"deliveryCountry" : "Sri Lanka",
"deliveryZip" : "11010",
"telNumber" : 94779967409,
"tax" : "0",
"shippingCost" : "0",
"shippingOpt" : "Flat Rate",
"email" : "s.dilakshan#yahoo.com",
"currency" : "$",
"paymentStatus" : "Pending",
"fulfillmentStatus" : "Pending",
"createdAt" : ISODate("2017-09-01T06:03:12.584Z"),
"updatedAt" : ISODate("2017-09-01T06:03:12.584Z")
}
{
"_id" : ObjectId("59a8f82fcaf1cae37af72c0d"),
"appId" : "59a669431954a69e37c20b69",
"registeredUser" : "59a677811954a69e37c20b73",
"item" : [
{
"id" : "59a669441954a69e37c20b6d",
"name" : "Shirt x",
"qty" : 1,
"sku" : "1111",
"totWeight" : null,
"price" : "250",
"total" : "250",
"imgURL" : [
{
"img" : "shirt_x.png"
}
],
"totalQty" : 244
}
],
"amount" : "250",
"customerName" : "dilakshan",
"deliverName" : "dilakshan",
"deliveryNo" : "11010",
"deliveryStreet" : "delgoda",
"deliveryCity" : "kandana",
"deliveryCountry" : "Sri Lanka",
"deliveryZip" : "11010",
"telNumber" : 94779967409,
"tax" : "0",
"shippingCost" : "0",
"shippingOpt" : "Flat Rate",
"email" : "s.dilakshan#yahoo.com",
"currency" : "$",
"paymentStatus" : "Pending",
"fulfillmentStatus" : "Pending",
"createdAt" : ISODate("2017-09-01T06:03:27.022Z"),
"updatedAt" : ISODate("2017-09-01T06:03:27.022Z")
}
{
"_id" : ObjectId("59a8f83ecaf1cae37af72c0e"),
"appId" : "59a669431954a69e37c20b69",
"registeredUser" : "59a677811954a69e37c20b73",
"item" : [
{
"id" : "59a669441954a69e37c20b71",
"name" : "Beach Suit",
"qty" : 2,
"sku" : "1111",
"totWeight" : null,
"price" : "250",
"total" : "250",
"imgURL" : [
{
"img" : "cloth3.png"
}
],
"totalQty" : 238
}
],
"amount" : "500",
"customerName" : "dilakshan",
"deliverName" : "dilakshan",
"deliveryNo" : "11010",
"deliveryStreet" : "delgoda",
"deliveryCity" : "kandana",
"deliveryCountry" : "Sri Lanka",
"deliveryZip" : "11010",
"telNumber" : 94779967409,
"tax" : "0",
"shippingCost" : "0",
"shippingOpt" : "Flat Rate",
"email" : "s.dilakshan#yahoo.com",
"currency" : "$",
"paymentStatus" : "Pending",
"fulfillmentStatus" : "Pending",
"createdAt" : ISODate("2017-09-01T06:03:42.439Z"),
"updatedAt" : ISODate("2017-09-01T06:03:42.439Z")
}
For standard sails.js/waterline queries, you have to use the id as a String in your query params, do not use ObjectId(ordersId).
When you use a sails native query, use ObjectId(ordersId).
If you are using any mongodb adapter then do not try to convert id by ObjectId(orders.id).Try normal query like
ApplicationOrder.find({'id':orders.id})
For native sails query,you have to convert id to objectId.
I finally was able to fix the issue. I had to edit the my model class in sails and use only orders.id model class,
_id:{type : 'objectid'} and when search
.find({_id: orders.id})
this worked for me perfectly.
Below is the schema for an array contacts. The contacts array has a field hashtag which is another array. How do I find all the contacts which have a particular hashtag? For example all contacts with hashtag "zxc"?
"contacts" : [
{
"addedDate" : ISODate("2015-12-02T09:06:09.891Z"),
"personEmailId" : "tell.fadgfdg#gmail.com",
"_id" : ObjectId("565eb481bf35eeb83d7f9f13"),
"verified" : true,
"favorite" : true,
"linkedinUserName" : null,
"facebookUserName" : null,
"twitterUserName" : "IamlifePaul",
"count" : 2,
"relationshipStrength_updated" : 0,
"contactRelation" : {
"decisionmaker_influencer" : null,
"prospect_customer" : "prospect"
},
"source" : "abc",
"mobileNumber" : "3546789",
"skypeId" : "123",
"designation" : "test",
"companyName" : "Something",
"location" : "Hyderabad, Telangana, India",
"personName" : "Naveen Paul",
"personId" : "565022d7dbeaeb9e17fc7083",
"hashtag" : [
"latestTag",
"anotherTag",
"#hash",
"openLove",
"hellTwo",
"working?",
"hello",
"lol",
"zxc"
],
"lastInteracted" : ISODate("2015-12-08T05:07:53.746Z")
},
{
"addedDate" : ISODate("2015-12-02T09:06:09.891Z"),
"personEmailId" : "naveenpaul.fadgfdg#gmail.com",
"_id" : ObjectId("565eb481bf35eeb83d7f9f13"),
"verified" : true,
"favorite" : true,
"linkedinUserName" : null,
"facebookUserName" : null,
"twitterUserName" : "IamlifePaul",
"count" : 2,
"relationshipStrength_updated" : 0,
"contactRelation" : {
"decisionmaker_influencer" : null,
"prospect_customer" : "prospect"
},
"source" : "abc",
"mobileNumber" : "3546789",
"skypeId" : "123",
"designation" : "test",
"companyName" : "Something",
"location" : "Hyderabad, Telangana, India",
"personName" : "Naveen Paul",
"personId" : "565022d7dbeaeb9e17fc7083",
"hashtag" : [
"latestTag",
"anotherTag",
"#hash",
"openLove",
"hellTwo",
"working?",
"hello",
"lol",
"zxc"
],
"lastInteracted" : ISODate("2015-12-08T05:07:53.746Z")
},
{
"addedDate" : ISODate("2015-12-02T09:06:09.891Z"),
"personEmailId" : "naveenpaul.fadgfdg#gmail.com",
"_id" : ObjectId("565eb481bf35eeb83d7f9f13"),
"verified" : true,
"favorite" : true,
"linkedinUserName" : null,
"facebookUserName" : null,
"twitterUserName" : "IamlifePaul",
"count" : 2,
"relationshipStrength_updated" : 0,
"contactRelation" : {
"decisionmaker_influencer" : null,
"prospect_customer" : "prospect"
},
"source" : "abc",
"mobileNumber" : "3546789",
"skypeId" : "123",
"designation" : "test",
"companyName" : "Something",
"location" : "Hyderabad, Telangana, India",
"personName" : "Naveen Paul",
"personId" : "565022d7dbeaeb9e17fc7083",
"hashtag" : [
"polly",
"tagger",
"#hash",
"working?",
"hello",
"lol",
"zxc"
],
"lastInteracted" : ISODate("2015-12-08T05:07:53.746Z")
}
I did this query - db.myColl.find({"contacts.hashtag":"zxc"},{"contacts":{$elemMatch:{"hashtag":"zxc"}}}).pretty()
which returned only one contact. I need to get all contacts.
You can do it via aggregation framework:
1) Do an initial match to reduce the input set for aggregation
2) Unwind contacts field.
3) Filter out contacts with hashtag 'zxc'
4) Group by id and put contacts on "contacts" field.
db.getCollection('contacts').aggregate([
{$match: {"contacts.hashtag":"zxc"}},
{$unwind: "$contacts"},
{$match: {"contacts.hashtag":"zxc"}},
{$group: {_id:"$_id", "contacts": {$push:"$contacts"}}}
])
You can use
For multiple hashtag in single doc
db.myColl.find({"contacts.hashtag":{$in : ['zxc','anotherTag']}});
//will return all doc with any of the two hashtags.
For single hashtag
db.myColl.find({"contacts.hashtag":'zxc'});
//return all documents with hashtag 'zxc'
Please refer $in