BED_MAST this is my one collection bed_mast contains WARD_ID and want to perform join to my other collection with is WARD_MAST given below.
{
"_id" : ObjectId("5e53c95a26b0e5ad0fb46376"),
"Bed_id" : "bd-10",
"WARD_ID" : "4",
"OCCUPIED" : "0",
"BED_TYPE" : "single AC"
}
{
"_id" : ObjectId("5e53c95a26b0e5ad0fb46377"),
"Bed_id" : "bd-11",
"WARD_ID" : "1",
"OCCUPIED" : "0",
"BED_TYPE" : "single Non AC"
}
WARD_MAST this is my WARD_MAST having ward_id. but while I am putting lookup I am not getting any data.
{
"_id" : ObjectId("5e53c95b26b0e5ad0fb46544"),
"patient_id" : null,
"ward_id" : 1,
"total_beds" : 55,
"ward_name" : "Ward 1"
}
{
"_id" : ObjectId("5e53c95d26b0e5ad0fb46545"),
"patient_id" : null,
"ward_id" : 2,
"total_beds" : 63,
"ward_name" : "Ward 2"
}
MY query is
db.BED_MAST.aggregate([{$lookup:{'from':"WARD_MAST",'localField':"WARD_ID",'foreignField':"ward_id",'as':"lookup_value"}}]).pretty()
output: I have confirmed the data by running this query to MySQL there it is working fine
{
"_id" : ObjectId("5e53c95b26b0e5ad0fb46388"),
"Bed_id" : "bd-28",
"WARD_ID" : "6",
"OCCUPIED" : "0",
"BED_TYPE" : "NICU",
"lookup_value" : [ ]
}
SAMPLE VALUES DATA IS GIVEN ALL DATA IS NOT POSSIBLE TO GIVE. I know it was asked 1000 times but not able to resolve this question. tried to solve with lookup. but it showing blank space. Is anything I am missing.
The problem is BED_MAST collection's WARD_ID has string values and WARD_MAST collection's ward_id has Number values.
Related
I found a question similar to mine regarding updating a document if a certain field does not exist. But in the question, it is not an array of documents like what I have
{
"_id" : ObjectId("5a5f814487c320156094c144"),
"sender_id" : "123",
"iso_number" : "ABC-DEF-123",
"subject" : "Sample Memo",
"content" : "This is a sample memorandum sent through postman.",
"recipients" : [
{
"faculty_number" : 222,
"_id" : ObjectId("5a5f814487c320156094c146"),
"status" : "Sent"
},
{
"faculty_number" : 111,
"_id" : ObjectId("5a5f814487c320156094c145"),
"status" : "Sent"
}
],
"memo_created" : ISODate("2018-01-17T17:00:52.104Z"),
"__v" : 0
}
I'm trying to attach a memo_seen to recipient with faculty_number 111, I'm using the query.
db.getCollection('memos').update({"_id": id, "recipients.faculty_number": faculty_number, "recipients.$.memo_seen": {$exists: false}}, {$set: {"recipients.$.memo_seen": timestamp}})
The timestamp should not update when I repeat the query. Can someone help me out? Been stuck for quite some time now.
I have this array of documents, I would like to put "table" on the same level like mastil_antenas and other variables. how Can I do that with aggregate?
I'm trying with the aggregate $project but I can't get the result.
Example of Data
[ {
"mastil_antena" : "1",
"nro_platf" : "1",
"antmarcmast" : "ANDREW",
"antmodelmast" : "HWXXX6516DSA3M",
"retmarcmast" : "Ericsson",
"retmodelmast" : "ATM200-A20",
"distmast" : "1.50",
"altncramast" : "41.30",
"ORIENTMAG" : "73.00",
"incelecmast" : "RET",
"incmecmast" : "1.00",
"Feedertypemast" : "Fibra Optica",
"longjumpmast" : "5.00",
"longfo" : "100",
"calibrecablefuerza" : "10 mm",
"longcablefuerza" : "65.00",
"modelorruantena" : "32B66A",
"tiltmecfoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114934746000.jpg",
"tiltmecfoto_fh" : "2017-10-18T05:51:22Z",
"az0foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115012727000.jpg",
"az0foto_fh" : "2017-10-18T05:55:21Z",
"azneg60foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115016199000.jpg",
"azneg60foto_fh" : "2017-10-18T05:55:36Z",
"azpos60foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115020147000.jpg",
"azpos60foto_fh" : "2017-10-18T05:55:49Z",
"etiqantenafoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114920853000.jpg",
"etiqantenafoto_fh" : "2017-10-18T05:56:01Z",
"tiltelectfoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114914236000.jpg",
"tiltelectfoto_fh" : "2017-10-18T05:56:13Z",
"idcablefoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114900279000.jpg",
"idcablefoto_fh" : "2017-10-18T05:56:38Z",
"rrutmafoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114947279000.jpg",
"rrutmafoto_fh" : "2017-10-18T05:56:49Z",
"etiquetarrufoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114954648000.jpg",
"etiquetarrufoto_fh" : "2017-10-18T05:57:02Z",
"rrutmafoto1" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114959738000.jpg",
"rrutmafoto1_fh" : "2017-10-18T05:57:12Z",
"etiquetarrufoto1" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115005545000.jpg",
"etiquetarrufoto1_fh" : "2017-10-18T05:57:27Z",
"botontorre4" : "sstelcel3",
"table" : { /* put all varibles one level up*/
"tecmast" : "LTE",
"frecmast" : "2100",
"secmast" : "1",
"untitled440" : "Salir"
},
"comentmast" : "",
"longfeedmast" : "",
"numtmasmast" : "",
"otra_marca_antena" : "",
"otro_modelo_antena" : ""
}]
Starting from MongoDB version 3.4 you could use $addFields to do this.
//replace products with what makes sense in your database
db.getCollection('products').aggregate(
[
{ //1 add the properties from subdocument table to documents
$addFields: {
"documents.tecmast" : "documents.0.table.tecmast",
"documents.frecmast" : "documents.0.table.frecmast",
"documents.secmast" : "documents.0.table.secmast",
"documents.untitled440" : "documents.0.table.untitled440"
}
},
{
//(optional) 2 remove the table property from the documents
$project: {"documents.table" : 0}
}
]
)
Step 1: use $addFields to grab properties from table inside documents.table and put them on documents
Step 2: (optional) remove property "table" from documents.
I hope this helps!!!
I am having records stored in mongo-db collection for customer and there transactions with below format:
{
"_id" : ObjectId("59b6992a0b54c9c4a5434088"),
"Results" : {
"id" : "2139623696",
"member_joined_date" : ISODate("2010-07-07T00:00:00.000+0000"),
"account_activation_date" : ISODate("2010-07-07T00:00:00.000+0000"),
"family_name" : "XYZ",
"given_name" : "KOKI HOI",
"gender" : "Female",
"dob" : ISODate("1967-07-20T00:00:00.000+0000"),
"preflanguage" : "en-GB",
"title" : "MR",
"contact_no" : "60193551626",
"email" : "abc123#xmail.com",
"street1" : "address line 1",
"street2" : "address line 2",
"street3" : "address line 3",
"zipcd" : "123456",
"city" : "xyz",
"countrycd" : "Malaysia",
"Transaction" : [
{
"txncd" : "411",
"txndate" : ISODate("2017-08-02 00:00:00.000000"),
"prcs_date" : ISODate("2017-08-02 00:00:00.000000"),
"txn_descp" : "Some MALL : SHOP & FLY FREE",
"merchant_id" : "6587867dsfd",
"orig_pts" : "0.00000",
"text" : "Some text"
}
]
}
I want to create index on fields "txn_descp", "txndate", "member_joined_date", "gender", "dob" for faster access. Can some one help me in creating index for this document? Will appreciate any kind of help and suggestions.
While creating the index there are a few things to keep in mind.
Always create the index for the queries you use.
Go for compound indexes whenever possible.
First field in the index should be the one with the minimum possible values.Ie, if there is an index with gender and DOB as keys, It is better to have {gender:1,dob:1}
Basically I have played with Firebase for the past week, and I recently stumbled upon the 'queryOrderedByChild()' that as far as I know - allows you to sort data in firebase. However, I seem to not get the proper results. My Firebase data looks like this:
{
"names" : {
"-KHVUwXdVPHmrO_O5kil" : {
"id" : "0",
"name" : "Jeff"
},
"-KHVV7lCeac0cZNMi9fq" : {
"id" : "3",
"name" : "Stig"
},
"-KHVVCjXgl0XxasVOHF1" : {
"id" : "13",
"name" : "Ali"
},
"-KHVVJtyUO-yJZiompJO" : {
"id" : "7",
"name" : "Hannah"
},
"-KHVVR8tMSO1Oh7R8tR1" : {
"id" : "2",
"name" : "Amanda"
}
}
}
, and my code looks like this:
ref.childByAppendingPath("names")
.queryOrderedByChild("id")
.observeEventType(.ChildAdded) { (snapshot:FDataSnapshot!) in
if let myID = snapshot.value["id"] as? String {
print(myID)
}
The output is still in a random order, displaying: 0, 2,7,1,8,4 - Isn't this supposed to be numeric? What am I doing wrong? How can I sort it so it get's numeric either ascending or descending?
You say that you're ordering by a number, but the value of your id property is stored as a string.
Since you're storing them as a string, they will be returned in lexicographical order.
If you want them to be in numerical order, you should store them as numbers
"-KHVUwXdVPHmrO_O5kil" : {
"id" : 0,
"name" : "Jeff"
},
Alternatively, you could store the ids as zero-padded strings:
{
"names" : {
"-KHVUwXdVPHmrO_O5kil" : {
"id" : "0000",
"name" : "Jeff"
},
"-KHVV7lCeac0cZNMi9fq" : {
"id" : "0003",
"name" : "Stig"
},
"-KHVVCjXgl0XxasVOHF1" : {
"id" : "0013",
"name" : "Ali"
},
"-KHVVJtyUO-yJZiompJO" : {
"id" : "0007",
"name" : "Hannah"
},
"-KHVVR8tMSO1Oh7R8tR1" : {
"id" : "0002",
"name" : "Amanda"
}
}
}
Since the strings are all the same length, they will be sorted in the correct order. But you'll have to decide on the length of the string/maximum id value in the latter solution, so it seems worse.
If you using order by child you going to order your id you no going to touch it's value.
Then maybe you have to try something like
(FIRDatabaseQuery *) queryOrderedByValue
queryOrderedByValue: is used to generate a reference to a view of the data that's been sorted by child value.
i have this collection:
{
"_id" : ObjectId("4f3176d21a8b87fcf14658a6"),
"quiosco_id" : "11111111 ",
"transacciones" : [{
"transaccion_uuid" : "60be5247-6a38-4da2-b7b3-ea1dfaf0293b",
"machine_uuid" : "11111111 ",
"audit" : "146018",
"mti" : "1810",
"direction" : "1",
"monto" : 1.1499999761581421,
"fecha" : "07/02/2012 02:39:14 PM",
"data1" : "181052200000028000001111111111111000000000115"
}, {
"transaccion_uuid" : "adcbda16-dda7-4887-9295-2e47df7520e2",
"machine_uuid" : "11111111 ",
"audit" : "146018",
"mti" : "1810",
"direction" : "2",
"monto" : 1.1499999761581421,
"fecha" : "07/02/2012 02:39:14 PM",
"data1" : "181052200000008000001111111111111000000000115"
}
}
I need only one document with a specific transaccion_uuid.
Any mongodb query always return root document, so you can't load only embedded document.
If you need root document that contains transaction with specific id you can do it easy via dot notation:
db.items.find({"transacciones.transaccion_uuid":
"adcbda16-dda7-4887-9295-2e47df7520e2"})
If you need just one transaction from embedded document you need find it from within your driver code manually.