Get all array subdocuments with a conditional in MongoDB - mongodb

I have a collection with lot of documents like this:
{
"Items" : [],
"Technicians" : [],
"_id" : ObjectId("537b5ea4c61b1d1743f4341f"),
"budgets" : [
{
"concepts" : [
{
"position" : 0,
"description" : "A",
"price" : "1",
"qty" : "11",
"total" : 11
},
{
"position" : 1,
"description" : "A",
"price" : "2",
"qty" : "22",
"total" : 44
},
{
"position" : 2,
"description" : "A",
"price" : "3",
"qty" : "33",
"total" : 99
},
{
"position" : 3,
"description" : "A",
"price" : "4",
"qty" : "44",
"total" : 176
}
],
"date" : "2014-05-21T10:20:48.696Z",
"id" : 9989,
"status" : "joooder",
"total" : 500
},
{
"id" : 260,
"date" : "2014-05-22T11:12:40.260Z",
"concepts" : [
{
"position" : 0,
"description" : "Nueva",
"price" : "1",
"qty" : "1",
"total" : 1
}
],
"total" : 1,
"status" : "pending"
},
{
"id" : 111,
"date" : "2014-05-22T13:36:28.111Z",
"concepts" : [
{
"position" : 0,
"description" : "Blabla",
"price" : "1",
"qty" : "11",
"total" : 11
}
],
"total" : 11,
"status" : "pending"
}
]
}
Now, I want to get the budgets, but only the budgets if status is quals to pending, but I need to find in all documents of collection.
I tried this:
db.orders.aggregate(
{ $unwind : "$budgets" },
{ $match : {
"budgets.status": "pending"
}});
But this isn't ok...
Edit two:
With this:
db.orders.aggregate(
{ $project : {
budgets : 1
}},
{ $match : {
"budgets.status": "pending"
}});
I get this:
{
"result" : [
{
"_id" : ObjectId("537b5ea4c61b1d1743f4341f"),
"budgets" : [
{
"concepts" : [
{
"position" : 0,
"description" : "A",
"price" : "1",
"qty" : "11",
"total" : 11
},
{
"position" : 1,
"description" : "A",
"price" : "2",
"qty" : "22",
"total" : 44
},
{
"position" : 2,
"description" : "A",
"price" : "3",
"qty" : "33",
"total" : 99
},
{
"position" : 3,
"description" : "A",
"price" : "4",
"qty" : "44",
"total" : 176
}
],
"date" : "2014-05-21T10:20:48.696Z",
"id" : 9989,
"status" : "joooder",
"total" : 500
},
{
"id" : 260,
"date" : "2014-05-22T11:12:40.260Z",
"concepts" : [
{
"position" : 0,
"description" : "Nueva",
"price" : "1",
"qty" : "1",
"total" : 1
}
],
"total" : 1,
"status" : "pending"
},
{
"id" : 111,
"date" : "2014-05-22T13:36:28.111Z",
"concepts" : [
{
"position" : 0,
"description" : "Blabla",
"price" : "1",
"qty" : "11",
"total" : 11
}
],
"total" : 11,
"status" : "pending"
}
]
}
],
"ok" : 1
}
The first status item isn't pending.

Related

why group sum qty by item qty not zero but it show many number with letter e "1.1102230246251565e-16" with aggregate mongodb?

Everyone please help me with sum qty by item, in fact It is zero but when I sum with aggregate it's always show the number like that 1.1102230246251565e-16 any solution to fix. you can see my items as below is my collection with aggregate.
Example it just sample data with aggregate please help me or any recommendation. I'm not sure with sum different with what to expect.
let data[
{
"_id" : ObjectId("5ca1d52e63102d00072fa433"),
"itemId" : "91",
"qty" : 10
},
{
"_id" : ObjectId("5cde757ba9b05421b2fd4c02"),
"itemId" : "91",
"qty" : 7
},
{
"_id" : ObjectId("5ccbca18b4448606bb6b32d9"),
"itemId" : "91",
"qty" : -10
},
{
"_id" : ObjectId("5ccbef392dee2a084cd54a59"),
"itemId" : "91",
"qty" : -6
},
{
"_id" : ObjectId("5ccbf5632dee2a084cd54bb3"),
"itemId" : "91",
"qty" : 20
},
{
"_id" : ObjectId("5ccc0ae7f2f55c0a0745fa3e"),
"itemId" : "91",
"qty" : -10
},
{
"_id" : ObjectId("5c9315ae1dfa340d69b85033"),
"itemId" : "91",
"qty" : -1
},
{
"_id" : ObjectId("5cccf4149e6bf007522a4569"),
"itemId" : "91",
"qty" : 35
},
{
"_id" : ObjectId("5cde7b03758b1a25055b9c4b"),
"itemId" : "91",
"qty" : -0.967
},
{
"_id" : ObjectId("5cde7b03758b1a25055b9c50"),
"itemId" : "91",
"qty" : -9
},
{
"_id" : ObjectId("5ccfa8380d4b880630c9c1b3"),
"itemId" : "91",
"qty" : -10
},
{
"_id" : ObjectId("5ccfa85d0d4b880630c9c1c7"),
"itemId" : "91",
"qty" : -5
},
{
"_id" : ObjectId("5ccfaf7c0d4b880630c9c1f5"),
"itemId" : "91",
"qty" : -5
},
{
"_id" : ObjectId("5c935b486f6338291f31f907"),
"itemId" : "91",
"qty" : -10
},
{
"_id" : ObjectId("5c9987c5ad6cb100076860b7"),
"itemId" : "91",
"qty" : 25
},
{
"_id" : ObjectId("5ccfe4a388ed8d07d6328f3e"),
"itemId" : "91",
"qty" : -20
},
{
"_id" : ObjectId("5c999660ad6cb100076860fe"),
"itemId" : "91",
"qty" : 25
},
{
"_id" : ObjectId("5cde73a8a9b05421b2fd4bff"),
"itemId" : "91",
"qty" : -1.033
},
{
"_id" : ObjectId("5ca424bac87f4f0007d833ba"),
"itemId" : "91",
"qty" : -10
},
{
"_id" : ObjectId("5cad54eb9c7a210007ac456a"),
"itemId" : "91",
"qty" : -20
},
{
"_id" : ObjectId("5cb03fc66554c600078fe7d4"),
"itemId" : "91",
"qty" : 20
},
{
"_id" : ObjectId("5cc65fbd122c9300076f9f44"),
"itemId" : "91",
"qty" : -5
},
{
"_id" : ObjectId("5cd152ba3790d300077bdc23"),
"itemId" : "91",
"qty" : -10
},
{
"_id" : ObjectId("5cd234653790d300077bdc7a"),
"itemId" : "91",
"qty" : -9
}
]
//Aggregate sum qty by item
data.aggregate([
{
$match: {itemId:'91'}
},
{
$group: {
_id: "$itemId",
onhand:{$sum:'$qty'}
}
}
]).toArray()
// And the result it is not zero but it show like that
//{
// "_id" : "91",
// "onhand" : 1.1102230246251565e-16
//}

String to ISO Date

I've looked this up a few times and no answer has worked so far. I want to turn a string date into an ISODate - I don't want it converted to or from UTC, I just want to make the date value which is stored as string to be stored as a date.
I don't want UTC because I want to query against and calculate based upon a time of day (example: 12pm) anywhere in the world and I'm summing by hour, day, week and month and comparing data across many countries based upon local time.
Currently I have a date as a string which I want to add to a new document with a new name:
"transaction_date": "$object_raw_origin_data.register_sales.sale_date"
The date value as string below is shown as:
"sale_date" : "2018-03-13 20:05:46"
I want it to be: "transaction_date" : ISODate("2018-03-13 20:05:46")
The date and time must read 2018-03-13 20:05:46 not converted to UTC.
Thanks, Matt
Origin Data JSON
{
"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-b372-11e8-26f9d3c1bdde",
"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 20:05:46",
"created_at" : "2018-03-13 20:06:00",
"updated_at" : "2018-03-13 20:06:00",
"total_price" : 4.5,
"total_cost" : 3.34,
"total_tax" : NumberInt(0),
"tax_name" : "No Tax",
"note" : "",
"status" : "CLOSED",
"short_code" : "wqgsgi",
"invoice_number" : "Masonic2108Temple",
"accounts_transaction_id" : "",
"return_for" : "",
"register_sale_products" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9e92cb9bc",
"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" : ""
}
]
},
{
"id" : "776a66f2-993c-b372-11e8-26f9e98104e0",
"product_id" : "02dcd191-ae55-11e7-f130-9d50e948a0b5",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"sequence" : "0",
"handle" : "SOFTDRINK",
"sku" : "10292",
"name" : "SOFT DRINK",
"quantity" : NumberInt(1),
"price" : NumberInt(1),
"cost" : 0.6,
"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" : NumberInt(1),
"display_retail_price_tax_inclusive" : "0",
"status" : "CONFIRMED",
"attributes" : [
{
"name" : "line_note",
"value" : ""
}
]
}
],
"totals" : {
"total_tax" : NumberInt(0),
"total_price" : 4.5,
"total_payment" : 4.5,
"total_to_pay" : NumberInt(0)
},
"register_sale_payments" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9eab2cb46",
"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 20:05:46",
"amount" : NumberInt(10)
},
{
"id" : "776a66f2-993c-b372-11e8-26f9eab6b21a",
"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 20:05:46",
"amount" : -5.5
}
]
}
}
}
Thanks for the help from #Saleem and #Krishna however, I have tried to create an ISODate using a $concat of $substr from a string and it isn't working.
db.Vend_raw_transactions.aggregate(
[{
"$project": {
"object_origin": "$object_origin",
"company": "$party_uuid",
"connection": "$connection_uuid",
"object_creation_date": "$object_created",
// "transaction_date": "$object_raw_origin_data.register_sales.sale_date",
"transaction_date": {
"$dateFromString": {
"dateString": {
"$concat": [
"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 0, 10 ],
"T",
"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 11, 9]
]
}
}
},
"transaction_gross_value": {
"$add": [
"$object_raw_origin_data.register_sales.total_price",
"$object_raw_origin_data.register_sales.total_tax"
]
},
"transaction_net_value": "$object_raw_origin_data.register_sales.total_price",
"transaction_tax_value": "$object_raw_origin_data.register_sales.total_tax",
"transaction_cost_value": "$object_raw_origin_data.register_sales.total_cost",
"object_class": "goods-service-transaction",
"object_origin_category": "point-of-sale",
"object_type": "receipt",
"object_origin_type": "offline",
"transaction_reference": "$object_raw_origin_data.register_sales.invoice_number",
"transaction_status": "$object_raw_origin_data.register_sales.status",
"transaction_currency": "GBP",
"party_name": "$object_raw_origin_data.register_sales.customer.customer_name",
"party_identifier": "$object_raw_origin_data.register_sales.customer.customer_code",
"staff_identifier": "$object_raw_origin_data.register_sales.user_id",
"staff_name": "$object_raw_origin_data.register_sales.user_name",
"line_items" : {
"$map": {
"input": "$object_raw_origin_data.register_sales.register_sale_products",
"as" : "product",
"in": {"item_name": "$$product.name",
"item_system_id": "$$product.id",
"item_identifier": "$$product.sku",
"item_category" : "sales-revenue",
"item_quantity" : "$$product.quantity",
"item_net_unit_sale_value" : "$$product.price",
"item_net_unit_discount_value" : "$$product.discount",
"item_net_unit_member_value" : "$$product.loyalty_value",
"item_net_unit_cost_value" : "$$product.cost",
"item_unit_tax_value" : "$$product.tax",
"item_price_list_reference" : "$$product.price_set",
"item_total_sale_value" : "$$product.price_total",
"item_total_tax_value" : "$$product.tax_total"
}
}
}
}
}
// ,{"$out": "9SP_Source" }
])
I cannot work out why this isn't working, it seems like it should - I'm creating a new string based upon an existing string value and adding a T in the middle but it doesn't recognise $DateFromString. Thanks
Error Message
{
"message" : "Unrecognized expression '$dateFromString'",
"stack" : "MongoError: Unrecognized expression '$dateFromString'" +
"at queryCallback (C:\Users\mattl\AppData\Local\Programs\nosqlbooster4mongo\resources\app.asar\node_modules\mongodb-core\lib\cursor.js:223:25)" +
"at C:\Users\mattl\AppData\Local\Programs\nosqlbooster4mongo\resources\app.asar\node_modules\mongodb-core\lib\connection\pool.js:541:18" +
"at _combinedTickCallback (internal/process/next_tick.js:131:7)" +
"at process._tickCallback (internal/process/next_tick.js:180:9)",
"name" : "MongoError",
"ok" : 0,
"errmsg" : "Unrecognized expression '$dateFromString'",
"code" : 168,
"codeName" : "InvalidPipelineOperator"
}
I've managed to make another string using the below script but $dateFromString unrecognised
db.Vend_raw_transactions.aggregate(
[{
"$project": {
"origin_date": "$object_raw_origin_data.register_sales.sale_date",
"transaction_date": {
"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 0, 10 ]
},
"transaction_time": {
"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 11, 9 ]
},
"new_string_date": {
"$concat" :[
{"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 0, 10 ]},
"T",
{"$substr": [ "$object_raw_origin_data.register_sales.sale_date", 11, 9 ]}]
}
}
}
])
Thanks

MongoDB shell mongoimport not importing document from json file

Can someone help me figure out what the problem is with this cos i have been trying to get it work but all efforts avail abortive
mongoimport --db test --collection products --drop --file"C:\Program Files\MongoDB\Server\scripts\products.json"
running the above on my shell keeps given me the below error
2018-01-13T19:55:55.019+0100 E QUERY [thread1] SyntaxError: missing ; before statement #(shell):1:14
======================Update=========================
{ "_id" : "ac3", "name" : "AC3 Phone", "brand" : "ACME", "type" : "phone", "price" : 200, "warranty_years" : 1, "available" : true }
{ "_id" : "ac7", "name" : "AC7 Phone", "brand" : "ACME", "type" : "phone", "price" : 320, "warranty_years" : 1, "available" : false }
{ "_id" : { "$oid" : "507d95d5719dbef170f15bf9" }, "name" : "AC3 Series Charger", "type" : [ "accessory", "charger" ], "price" : 19, "warranty_years" : 0.25, "for" : [ "ac3", "ac7", "ac9" ] }
{ "_id" : { "$oid" : "507d95d5719dbef170f15bfa" }, "name" : "AC3 Case Green", "type" : [ "accessory", "case" ], "color" : "green", "price" : 12, "warranty_years" : 0 }
{ "_id" : { "$oid" : "507d95d5719dbef170f15bfb" }, "name" : "Phone Extended Warranty", "type" : "warranty", "price" : 38, "warranty_years" : 2, "for" : [ "ac3", "ac7", "ac9", "qp7", "qp8", "qp9" ] }
{ "_id" : { "$oid" : "507d95d5719dbef170f15bfc" }, "name" : "AC3 Case Black", "type" : [ "accessory", "case" ], "color" : "black", "price" : 12.5, "warranty_years" : 0.25, "available" : false, "for" : "ac3" }
{ "_id" : { "$oid" : "507d95d5719dbef170f15bfd" }, "name" : "AC3 Case Red", "type" : [ "accessory", "case" ], "color" : "red", "price" : 12, "warranty_years" : 0.25, "available" : true, "for" : "ac3" }
{ "_id" : { "$oid" : "507d95d5719dbef170f15bfe" }, "name" : "Phone Service Basic Plan", "type" : "service", "monthly_price" : 40, "limits" : { "voice" : { "units" : "minutes", "n" : 400, "over_rate" : 0.05 }, "data" : { "units" : "gigabytes", "n" : 20, "over_rate" : 1 }, "sms" : { "units" : "texts sent", "n" : 100, "over_rate" : 0.001 } }, "term_years" : 2 }
{ "_id" : { "$oid" : "507d95d5719dbef170f15bff" }, "name" : "Phone Service Core Plan", "type" : "service", "monthly_price" : 60, "limits" : { "voice" : { "units" : "minutes", "n" : 1000, "over_rate" : 0.05 }, "data" : { "n" : "unlimited", "over_rate" : 0 }, "sms" : { "n" : "unlimited", "over_rate" : 0 } }, "term_years" : 1 }
{ "_id" : { "$oid" : "507d95d5719dbef170f15c00" }, "name" : "Phone Service Family Plan", "type" : "service", "monthly_price" : 90, "limits" : { "voice" : { "units" : "minutes", "n" : 1200, "over_rate" : 0.05 }, "data" : { "n" : "unlimited", "over_rate" : 0 }, "sms" : { "n" : "unlimited", "over_rate" : 0 } }, "sales_tax" : true, "term_years" : 2 }
{ "_id" : { "$oid" : "507d95d5719dbef170f15c01" }, "name" : "Cable TV Basic Service Package", "type" : "tv", "monthly_price" : 50, "term_years" : 2, "cancel_penalty" : 25, "sales_tax" : true, "additional_tarriffs" : [ { "kind" : "federal tarriff", "amount" : { "percent_of_service" : 0.06 } }, { "kind" : "misc tarriff", "amount" : 2.25 } ] }

How to update array element in mongodb document?

This query is updating successfully:
db.product.updateMany({"Rno":{$in:["111","222","333"]}},{$set:{"subjwmarks.maths":99}});
Before updating:
{
"_id" : ObjectId("5a572886964d881dab9f1f55"),
"Rno" : "111",
"stuname" : "sravan",
"subjwmarks" : [
{
"maths" : 88.0,
"english" : 99.0,
"Clang" : 97.0
}
],
"total" : 284.0,
"grade" : "A",
"organization" : "Tata"
};
After updating the query returns this value:
{
"_id" : ObjectId("5a572886964d881dab9f1f55"),
"Rno" : "111",
"stuname" : "sravan",
"subjwmarks" : [
{
"maths" : 99,
}
],
"total" : 284.0,
"grade" : "A",
"organization" : "Tata"
};
Value should be:
{
"_id" : ObjectId("5a572886964d881dab9f1f55"),
"Rno" : "111",
"stuname" : "sravan",
"subjwmarks" : [
{
"maths" : 99,
"english" : 99.0,
"Clang" : 97.0
}
],
"total" : 284.0,
"grade" : "A",
"organization" : "Tata"
}
But other elements of that array were deleted.
Can anyone suggest how to fix this problem?
db.product.updateMany({"Rno":{$in:["111","222","333"]}, subjwmarks:{ $exists: true}},{$set:{"subjwmarks.$.maths":100}});
https://docs.mongodb.com/manual/reference/operator/update/positional/
Note: subjwmarks must be in query part

Need Help Join Collection

Collection Inventory sample data:
{
"_id" : "89011704252315531324",
"sku" : "A2015-01-000",
"type" : "package",
"status" : "active",
"lng" : "-72.789153",
"lat" : "44.173515",
"acq" : "28",
"gtime" : ISODate("2017-01-11T22:27:48.000Z"),
"qlng" : "-72.796501",
"qlat" : "44.214783",
"qtime" : ISODate("2016-11-27T18:21:10.000Z"),
"timestamp" : ISODate("2017-01-12T14:43:29.000Z"),
"modified" : Date(-62135596800000),
"battery" : "60",
"wearables" : [
{
"_id" : "0009003C100228234E45",
"type" : "wearable",
"status" : "active",
"battery" : "50",
"timestamp" : ISODate("2017-01-12T11:43:33.000Z")
},
{
"_id" : "004A003F200B36634E45",
"type" : "cradle",
"status" : "active",
"battery" : "64",
"timestamp" : ISODate("2017-01-11T22:27:26.000Z")
},
{
"_id" : "11223344556600000B55",
"type" : "falldetect",
"status" : "active",
"battery" : "64",
"timestamp" : ISODate("2017-01-12T08:43:29.000Z")
}
],
"company" : "ConnectAmericaProduction",
"companies" : [],
"remoteIp" : "172.31.45.196:53864",
"subscriber" : "5783e20aa2c89f346e000006",
"ring" : "90",
"speaker" : "90",
"mic" : "55",
"version" : "4352",
"cradle" : "OFF",
"ctime" : ISODate("2017-01-11T23:13:59.000Z"),
"csqtime" : Date(-62135596800000)
}
collection calllog sample data
{
"_id" : "89011704252315531324",
"cdr" : [
{
"direction" : "Outgoing",
"duration" : 46,
"timestamp" : ISODate("2016-11-23T03:25:06.000Z"),
"number" : "",
"name" : "Call Center",
"lng" : "-71.208061",
"lat" : "42.330265",
"acq" : "",
"timezone" : {
"dstOffset" : 0.0,
"rawOffset" : 0.0,
"status" : "",
"timeZoneId" : "",
"timeZoneName" : ""
}
},
{
"direction" : "Incoming",
"duration" : 51,
"timestamp" : ISODate("2016-11-23T03:26:02.000Z"),
"number" : "",
"name" : "Call Center",
"lng" : "-71.205727",
"lat" : "42.333347",
"acq" : "",
"timezone" : {
"dstOffset" : 0.0,
"rawOffset" : 0.0,
"status" : "",
"timeZoneId" : "",
"timeZoneName" : ""
}
},
{
"direction" : "Outgoing",
"duration" : 49,
"timestamp" : ISODate("2016-11-27T18:21:04.000Z"),
"number" : "",
"name" : "Call Center",
"lng" : "-72.796501",
"lat" : "44.214783",
"acq" : "",
"timezone" : {
"dstOffset" : 0.0,
"rawOffset" : -18000.0,
"status" : "OK",
"timeZoneId" : "America/New_York",
"timeZoneName" : "Eastern Standard Time"
}
}
]
}
after run this aggrgrate function
db.calllog.aggregate([{$unwind: "$cdr"}, {$lookup:{from: "inventory", localField: "_id", foreignField: "_id", as: "wearables" }}, { "$project": { "cdr.direction": 1, "cdr.duration": 1,"cdr.date": 1,"wearables.type": 1, "wearables.status": 1, "wearables.battery": 1} }])
Result:
{ "_id" : "89011704252315531324", "cdr" : { "direction" : "Outgoing", "duration" : 46 }, "wearables" : [ { "type" : "package", "status" : "active", "battery" : "60" } ] }
{ "_id" : "89011704252315531324", "cdr" : { "direction" : "Incoming", "duration" : 51 }, "wearables" : [ { "type" : "package", "status" : "active", "battery" : "60" } ] }
{ "_id" : "89011704252315531324", "cdr" : { "direction" : "Outgoing", "duration" : 49 }, "wearables" : [ { "type" : "package", "status" : "active", "battery" : "60" } ] }
needed help can not get query to shows wearables type such as wearable, cradle, falldetect
thank
Did you try to do wearables.wearables.type? When you call wearables.type, you are actually getting the type of the Inventory. If you need the type of the wearable that is inside the inventory. You need to put inventory.wearables.type. The initial problem is that you're calling the inventory "wearables" and making a confusion out of it.
I would do the following:
db.calllog.aggregate([{$unwind: "$cdr"},
{$lookup:{from: "inventory", localField: "_id", foreignField: "_id", as: "inventory" }},
{$unwind: "$inventory.wearables"},
{ "$project": {
"cdr.direction": 1,
"cdr.duration": 1,
"cdr.date": 1,
"inventory.type": 1,
"inventory.status": 1,
"inventory.battery": 1,
"inventory.wearables.type":1
}}])