I am trying to rename my ID field in the project phase but I have an error message. The $match and $sort phases work fine. Here are the details:
db.complaints.aggregate([
{$match:{$text:{$search:"\"loan\""}}},
{$group:{"_id":{Year:{$substr: ["$received", 0, 4]}}, "loan":{$sum:1}}},
{$sort:{_id:-1}},
{$project:{_id:0, "Year":"_id.Year", "loan":1}}
])
Here is my schema:
> db.complaints.findOne()
{
"_id" : ObjectId("55e5990d991312e2c9b266e3"),
"complaintID" : 1388734,
"product" : "mortgage",
"subProduct" : "conventional adjustable mortgage (arm)",
"issue" : "loan servicing, payments, escrow account",
"subIssue" : "",
"state" : "va",
"ZIP" : 22204,
"submitted" : "web",
"received" : "2015-05-22",
"sent" : "2015-05-22",
"company" : "green tree servicing, llc",
"response" : "closed with explanation",
"timely" : "yes",
"disputed" : ""
}
Related
I am new to MongoDB and I am trying to run an aggregate function, to sum up all the current bid price of all the category Toyota. My code seems to look ok but I am getting errors
{
"_id" : ObjectId("6226613eeb82220b6ccbe598"),
"user" : 12,
"name" : "Camry",
"category" : "Toyota",
"description" : "Simple but smooth",
"closing date" : "12/06/22",
"starting bid price" : "180.00",
"Current bid price" : "960.00",
"auction status" : "open"
}
{
"_id" : ObjectId("62266282eb82220b6ccbe59b"),
"user" : 10,
"name" : "Prado",
"category" : "Toyota",
"description" : "Rugged and High",
"closing date" : "12/04/22",
"starting bid price" : "250.00",
"Current bid price" : "450.00",
"auction status" : "open",
}
my code first fetches the Toyota category from the json then it groups based on the category and it sums up the Current bid price
db.auction.aggregate([ { $match: { "category", "Toyota"}},
{$group: { _id:"$category",total:{$sum: "$Current bid price"}}} ])
My error
SyntaxError: missing : after property id :
#(shell):1:45
I have seen the error I needed to add colon in-between category and toyota instead of a comma
db.auction.aggregate([ { $match: { "category": "Toyota"}},
{$group: { _id:"$category",total:{$sum: "$Current bid price"}}} ])
I'd like to create a Customer in acumatica using REST API. I imported into postman official JSON swagger config and I'm using following endpoint:
http://*********/Acumatica2019DB/entity/Default/17.200.001/Customer
Method: PUT
Body:
{
"CustomerID" : {"value" : "JOHNGOOD" } ,
"CustomerName" : {"value" : "John Good" },
"MainContact" :
{
"Email" : {"value" : "demo#gmail.com" },
"Address" :
{
"AddressLine1" : {"value" : "4030 Lake Washington Blvd NE" },
"AddressLine2" : {"value" : "Suite 100" },
"City" : {"value" : "Kirkland" },
"State" : {"value" : "WA" },
"PostalCode" : {"value" : "98033" }
}
}
}
I'm facing following issue:
Error: An error occurred during processing of the field Subaccount: Error: Product Group, Department of Subaccount do not exist in the system.
---> PX.Data.PXSetPropertyException: Error: Product Group, Department of SubCD do not exist in the system.
What do these values (Product Group, Department of Subaccount) mean? How can I configure them?
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}
I have this document, each is a tool:
{
"_id" : ObjectId("54da43aea96ddcc40915a457"),
"checked_in" : false,
"barcode" : "PXJ-234234",
"calibrations" : [
{
"_id" : ObjectId("54da46ec546173129d810100"),
"cal_date" : null,
"cal_date_due" : ISODate("2014-08-06T00:00:00.000+0000"),
"time_in" : ISODate("2015-02-10T17:46:20.250+0000"),
"time_out" : ISODate("2015-02-10T17:46:20.250+0000"),
"updated_at" : ISODate("2015-02-10T17:59:08.796+0000"),
"created_at" : ISODate("2015-02-10T17:59:08.796+0000")
},
{
"_id" : ObjectId("5509e815686d610b70010000"),
"cal_date_due" : ISODate("2015-03-18T21:03:17.959+0000"),
"time_in" : ISODate("2015-03-18T21:03:17.959+0000"),
"time_out" : ISODate("2015-03-18T21:03:17.959+0000"),
"cal_date" : ISODate("2015-03-18T21:03:17.959+0000"),
"updated_at" : ISODate("2015-03-18T21:03:17.961+0000"),
"created_at" : ISODate("2015-03-18T21:03:17.961+0000")
},
{
"_id" : ObjectId("5509e837686d610b70020000"),
"cal_date_due" : ISODate("2015-03-18T21:03:51.189+0000"),
"time_in" : ISODate("2015-03-18T21:03:51.189+0000"),
"time_out" : ISODate("2015-03-18T21:03:51.189+0000"),
"cal_date" : ISODate("2015-03-18T21:03:51.189+0000"),
"updated_at" : ISODate("2015-03-18T21:03:51.191+0000"),
"created_at" : ISODate("2015-03-18T21:03:51.191+0000")
}
],
"group" : "Engine",
"location" : "Here or there",
"model" : "ZX101C",
"serial" : NumberInt(15449),
"tool" : "octane analyzer",
"updated_at" : ISODate("2015-09-30T20:43:55.652+0000"),
"description" : "Description...",
}
Tools are calibrated periodically. What I want to do is grab tools that are due this month.
Currently, my query is this:
scope :upcoming, -> { where(:at_ats => false).where('calibrations.0.cal_date_due' => {'$gte' => Time.now-1.day, '$lte' => Time.now+30.days}).order_by(:'calibrations.cal_date_due'.asc) }
However, this query gets the tool by the first calibration object and it needs to be the last. I've tried a myriad of things, but I'm stuck here.
How can I make sure I'm querying the most recent calibration document, not the first (which would be the oldest and therefore not relevant)?
You should look into aggregation framework and $unwind operator.
This link may be of help.
This link may be helpful. It contains an example of use of 'aggregation framework' for get the last element of the array, that is, the most recent in your case.
I need some ideas/tips for this. Here is a sample document I am storing:
{
"_id" : new BinData(0, "C3hBhRCZ5ZFizqbO1hxwrA=="),
"gId" : 237,
"name" : "WEATHER STATION",
"mId" : 341457,
"MAC" : "00:00:00:00:00:01",
"dt" : new Date("Fri, 24 Feb 2012 13:59:02 GMT -05:00"),
"hw" : [{
"tag" : "Weather Sensors",
"snrs" : [{
"_id" : NumberLong(7),
"sdn" : "Wind Speed"
}, {
"_id" : NumberLong(24),
"sdn" : "Wind Gust"
}, {
"_id" : NumberLong(28),
"sdn" : "Wind Direction"
}, {
"_id" : NumberLong(31),
"sdn" : "Rainfall Amount"
}, {
"_id" : NumberLong(33),
"sdn" : "Rainfall Peak Amount"
}, {
"_id" : NumberLong(38),
"sdn" : "Barometric Pressure"
}],
"_id" : 1
}]
}
What I am currently doing is using the C# driver and performing a .Save() to my collection to get upsert, however, what I want is kinda a hybrid approach I guess. Here are the distinct operations I need to be able to perform:
Upsert entire document if it does not exist
Update the dt field with a new timestamp if the document does exist
For the hw field, I need several things here. If hw._id exists, update its tag field as well as handling the snrs field by either updating existing entries so the sdn value is updated or adding entirely new entires when _id does not exist
Nothing should ever be removed from the hw array and nothing should ever be removed from the snrs array.
A standard upsert does not appear to get me what I am after, so I am looking for the best way to do what I need with as few roundtrips to the server as possible. I am thinking some of the $ Operators may be what I am needing here, but just need some thoughts on how best to approach this.
The gist of what I am doing here is keeping an accumulating, historical document of snrs entries with the immediate current value as well as retaining any historical entries in the array even though they are no longer "alive", being reported, etc. This allows future reporting on things that no longer exist in current time, but were at some point in the past. _id values are application-generated, globally unique across all documents, and never change after initial creation. For example, last week "Wind Speed" was being reported, but this week it is not. It's _id value, however, will not change if "Wind Speed" starts reporting again. Follow?
Clarifications or more detail can be provided if needed.
Thanks.
By changing the structure of your document from embedded arrays to subdocuments key'ed by the _ids you can do this.
e.g.
{
"MAC" : "00:00:00:00:00:01",
"_id" : 1,
"dt" : ISODate("2012-02-24T18:59:02Z"),
"gId" : 237,
"hw" : {
"1" : {
"snrs" : {
"1" : "Wind Speed",
"2" : "Wind Gust"
},
"tag" : "Weather Sensors"
}
},
"mId" : 341457,
"name" : "WEATHER STATION 1"
}
I created the above document by the following upsert
db.foo.update(
{_id:1},
{
$set: {
"gId" : 237,
"name" : "WEATHER STATION 1",
"mId" : 341457,
"MAC" : "00:00:00:00:00:01",
"dt" : new Date("Fri, 24 Feb 2012 13:59:02 GMT -05:00"),
"hw.1.tag" : "Weather Sensors",
"hw.1.snrs.1" : "Wind Speed",
"hw.1.snrs.2" : "Wind Gust"
}
},
true
)
Now when I run
db.foo.update(
{_id:1},
{
$set: {
"dt" : new Date(),
"hw.2.snrs.1" : "Rainfall Amount"
}
},
true
)
I get
{
"MAC" : "00:00:00:00:00:01",
"_id" : 1,
"dt" : ISODate("2012-03-07T05:14:31.881Z"),
"gId" : 237,
"hw" : {
"1" : {
"snrs" : {
"1" : "Wind Speed",
"2" : "Wind Gust"
},
"tag" : "Weather Sensors"
},
"2" : {
"snrs" : {
"1" : "Rainfall Amount"
}
}
},
"mId" : 341457,
"name" : "WEATHER STATION 1"
}