I have data structure for field "TID" which supposed to be String:
"EPC": "8650029665708",
"TID": "E2806894200050018F35096F",
"location": "1",
"status": 1,
"updatedAt": {
"$date": "2020-02-04T00:10:51.188Z"
}
And some data of my collection is of correct format above, but some of them somehow have following format:
"EPC": "8650029665708",
"TID": "{ _id: 5e1ed7f0548e4d8a94b87304,\n TID: 'E2806894200050018F35096F' }",
"location": "1",
"status": 1,
"updatedAt": {
"$date": "2020-02-04T00:10:51.188Z"
}
Could you suggest me why String became Object and are there any way to fix it?
Related
The requirement is to fetch the document with some field having the same values in the particular collection..
For Example:
we have two documents below:
1. {
"_id": "finance100",
"status": "ACTIVE",
"customerId": "100",
"contactId": "contact_100",
"itemId": "profile_100",
"audit": {
"dateCreated": "2022-02-16T16:34:52.718539Z",
"dateModified": "2022-03-18T09:36:42.774271Z",
"createdBy": "41d38c187155427fa37c855a4d1868d1",
"modifiedBy": "41d38c187155427fa37c855a4d1868d1"
},
"location": "US"
}
2. {
"_id": "finance101",
"status": "ACTIVE",
"customerId": "100",
"contactId": "contact_100",
"itemId": "profile_100",
"audit": {
"dateCreated": "2022-02-16T16:34:52.718539Z",
"dateModified": "2022-03-18T09:36:42.774271Z",
"createdBy": "41d38c187155427fa37c855a4d1868d1",
"modifiedBy": "41d38c187155427fa37c855a4d1868d1"
},
"location": "US"
}
3. {
"_id": "finance101",
"status": "ACTIVE",
"customerId": "100",
"contactId": "contact_100",
"itemId": "profile_100",
"audit": {
"dateCreated": "2022-02-16T16:34:52.718539Z",
"dateModified": "2022-03-18T09:36:42.774271Z",
"createdBy": "41d38c187155427fa37c855a4d1868d1",
"modifiedBy": "41d38c187155427fa37c855a4d1868d1"
},
"location": "UK"
}
The following parameter should have the same values:
customerId
contactId
itemId
location
so, need the fetch those records, matching with these above parameters having the same values in all the documents.
So, it should fetch the first two records (1 and 2) because the values for customerId, contactId, itemId, and location is same in first two document and in 3rd document only the location value is different(so it will not be fetched).
Could you please share the appropriate mongo query to work for this. I tried aggeration but it did not work. Thanks in advance.
Need the fetch those records, matching with these above parameters having the same values in all the documents.
I have the document below, and I want to update in exams, the last exam with status "started" (according to date), I need to add to "done" another number
{
"_id": ObjectID("5d2a371cec7eaf00119df614"),
"firstname": "Laura",
"lastname": "Warriner",
"image": "2019-07-14t05:25:23.352z_13.jpg",
"exams": [
{
"examId": "Ba6apmRmz",
"name": "general",
"language": "es",
"version": 2,
"testId": "2000",
"status": [
{
"status": "created",
"date": ISODate("2019-09-08T11:49:42.124Z")
},
{
"status": "started",
"date": ISODate("2019-09-08T11:55:09.873Z"),
"done": [1]
},
{
"status": "started",
"date": ISODate("2019-09-09T12:01:57.886Z"),
"done": [2,3]
},
{
"status": "completed",
"date": ISODate("2019-09-09T12:01:57.886Z")
}
]
}
]
}
Thanks in advance
{
"_id": {
"$oid": "5bd8fa85bfbf4e27d86c73eb"
},
"status": {
"iat": 1540947201356,
"exp": 1540950801358
},
"code": "1cmTwKC7",
"mongoDate": {
"$date": "2018-10-31T00:41:56.016Z"
},
"form": [
{
"type": "tf",
"text": "The first form ever. Welcome...",
"opts": [],
"responses": []
}
],
"updateDate": "October 30th, 2018, 8:47 PM",
"date": "2019",
"notes": "notes for this lecture.",
"name": "TEST",
"user": {
"$oid": "5bcfd8a8da59d54024172d5c"
},
"course": {
"$oid": "5bd8fa6cbfbf4e27d86c73ea"
},
"__v": 1
}
I have a document which is of the form above. I wanted to push a value into the responses array of a document which is in the form array. Im not sure how to do this using mongoose for MongoDB, and havent been able to find a direct answer. Thanks in advance.
I'm working on a prototype that will be used for reporting (read only) where the record is a very rich set of objects embedded into a single document. Essentially the document structure is this (edited for brevity):
{
"_id": ObjectId("56b3af6f84ef45c8903acc51"),
"id": "7815dd97-e895-46e5-b6c9-45184c6eae89",
"survey": {
"id": "1fb21c69-6a5c-4805-b1cf-fabef7a5d0e6",
"type": "Survey",
"data": {
"description": "Testing reporting and data ouput",
"id": "1fb21c69-6a5c-4805-b1cf-fabef7a5d0e6",
"start_date": "2016-02-04T11:12:46Z",
"questions": [
{
"sequence": 1,
"modified_at": "2016-02-04T16:11:04.505849+00:00",
"id": "2a77921b-6853-463b-80e7-5713c82c51ca",
"previous_question": null,
"created_at": "2016-02-04T16:10:56.647746+00:00",
"parent_question": "",
"next_question": "",
"validators": [
"required",
"email"
],
"question_data": {
"modified_at": "2016-02-04T16:10:37.542715+00:00",
"type": "open-ended",
"text": "Please provide your email address",
"id": "27aa00db-4a56-4a3e-bc30-226179062af0",
"reporting_name": "email address",
"created_at": "2016-02-04T16:10:37.542695+00:00"
}
},
{
"sequence": 2,
"modified_at": "2016-02-04T16:09:53.539073+00:00",
"id": "c034819d-9281-4943-801f-c53f4047d03e",
"previous_question": null,
"created_at": "2016-02-04T16:09:53.539051+00:00",
"parent_question": "",
"next_question": null,
"validators": [
"alpha-numeric"
],
"question_data": {
"modified_at": "2016-02-04T16:05:31.008363+00:00",
"type": "open-ended",
"text": "Is there anything else that we could have done to improve your experience?",
"id": "e33c7804-20cb-4473-abfa-77b3c2a3113c",
"reporting_name": "more info open-ended",
"created_at": "2016-02-01T20:19:55.036899+00:00"
}
},
{
"sequence": 1,
"modified_at": "2016-02-04T16:08:55.681461+00:00",
"id": "f91fd70e-f204-4c38-9a56-dd6ff25e4cd8",
"previous_question": "",
"created_at": "2016-02-04T16:08:55.681441+00:00",
"parent_question": "",
"next_question": null,
"validators": [
"required"
],
"question_data": {
"modified_at": "2016-02-04T16:04:56.848528+00:00",
"type": "nps",
"text": "On a scale of 0-10 how likely are you to recommend us to a friend?",
"id": "fdb6b74d-96a3-4680-af35-8b2f6aa2bbc9",
"reporting_name": "key nps",
"created_at": "2016-02-01T20:19:27.371920+00:00"
}
}
],
"name": "Reporting Survey",
"end_date": "2016-02-11T11:12:47Z",
"trigger_active": false,
"created_at": "2016-02-04T16:13:16.808108Z",
"url": "http://www.peoplemetrics.com",
"fatigue_limit": "monthly",
"modified_at": "2016-02-04T16:13:16.808132Z",
"template": {
"id": "0ea02379-c80b-4e17-b0a6-d621d49076b9",
"type": "Template"
},
"landing_page": null,
"trigger": null,
"slug": "test-reporting-survey"
}
},
"invite_code": "7801",
"end_date": null,
"created_at": "2016-02-04T19:38:31.931147Z",
"url": "http://127.0.0.1:8000/api/v0/responses/7815dd97-e895-46e5-b6c9-45184c6eae89",
"answers": {
"data": [
{
"id": "bcc3d0dd-5419-4661-9900-ccda3ac9a308",
"end_datetime": "2016-01-22T19:57:03Z",
"survey_question": {
"id": "662fcdf9-3c92-415e-b779-ac5b0fd330d3",
"type": "SurveyQuestion"
},
"response": {
"id": "7815dd97-e895-46e5-b6c9-45184c6eae89",
"type": "Response"
},
"modified_at": "2016-02-04T19:38:31.972717Z",
"value_type": "number",
"created_at": "2016-02-04T19:38:31.972687Z",
"value": "10",
"slug": "",
"start_datetime": "2016-01-21T10:10:21Z"
},
{
"id": "8696f11e-679a-43da-b6e2-aee72a70ca9b",
"end_datetime": "2016-01-28T13:45:37Z",
"survey_question": {
"id": "f118c9dd-1c03-47e0-80ef-2a36eb3b9a29",
"type": "SurveyQuestion"
},
"response": {
"id": "7815dd97-e895-46e5-b6c9-45184c6eae89",
"type": "Response"
},
"modified_at": "2016-02-04T19:38:32.001970Z",
"value_type": "boolean",
"created_at": "2016-02-04T19:38:32.001939Z",
"value": "True",
"slug": "",
"start_datetime": "2016-02-15T04:51:24Z"
}
]
},
"modified_at": "2016-02-04T19:38:31.931171Z",
"start_date": "2016-02-01T16:14:13Z",
"invite_date": "2016-02-01T13:14:08Z",
"contact": {
"id": "94833455-b9b8-4206-9bc9-a2f96c1706ca",
"type": "Contact",
"external_contactid": null,
"name": "Miss Marceline Herzog PhD"
},
"referring_source": "web"
}
given a structure in that format, I'm unsure the best path forward using Mongoose as the ORM. Again, this is read-only, so I was it would seem that creating a nested schema would work, but the mapping itself seems tedious to say the least. Is there a better/different option available for something with embedded?
Interesting. First, I would think if I need all the document and its embedded subdocuments fields. You said it will be read-only, so will each call needs the entire document?
If not, I recommend taking a look at the mongo drivers (node.js, .NET, Python, etc.) and using their aggregation pipelines to simplify the document if possible.
If you're using Mongoose, you will probably end up with two or three Schemas, and with schemas inside a list. Mongoose docs e.g.
var surveySchema = new Schema(
{ "type" : string,
"data" : [dataSchema],
"invite_code" : string,
"end_date" : DateTime,
"created_at" : DateTime,
"url" : string,
"answers" : { "data": [answersSchema]},
"modified_at" : DateTime,
"start_date" : DateTime,
"invite_date" : DateTime,
"contact" : [ContactSchema],
"referring_source" : string
});
Or, you can use mongoose references and build your own schema depending on what data you need to use for your report. A simple example:
var surveySchema = {
"id" : { type: Schema.Types.ObjectId }
"description" : { type: string , ref: dataSchema },
"contactSchema" : { type: string , ref: contactSchema }
}
I'm new to elasticsearch, managed to set it up and import recordset from my mongodb collection using the river plugin. For a start, I want to query against the "desc" field but just can't manage to get the query .. not sure if the problem is driven by the way index was defined.. can anyone help please?
Sample recordset in elastic search looks like this
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 107209,
"max_score": 1,
"hits": [
{
"_index": "shiv",
"_type": "shiv",
"_id": "iG1eIzN7RGO7hFfxTlnLuA",
"_score": 1,
"_source": {
"_id": {
"$oid": "50901d7f485bf7bd1c000021"
},
"brand": "",
"category": {
"$ref": "categories",
"$id": {
"$oid": "4fbd2221758cb11d14000174"
}
},
"comments": [],
"count_comment": 0,
"count_fav": 2,
"count_hotness": 1.46,
"count_rekick": 0,
"count_share": 0,
"country": {
"$ref": "countries",
"$id": {
"$oid": "4fec98f7758cb18c6e0002c9"
}
},
"currency": "pound",
"desc": "A men's automatic watch, this Seamaster Bond model features a Co-Axial escapement and date function. Its blue dial is teamed with a stainless steel case and bracelet for a look that's sporty and refined.",
"gender": "male",
"ident": "omega-seamaster-diver-bond-men-s-automatic-watch---ernest-jones-1351622015",
"img_url": "http://s7ondemand4.scene7.com/is/image/Signet/5735793?$detail$",
"lifestyles": [
{
"$ref": "lifestyles",
"$id": {
"$oid": "508ff6ca485bf73112000060"
}
}
],
"location": "United Kingdom",
"owner": {
"$ref": "accounts",
"$id": {
"$oid": "50742fd8485bf74b7a00213f"
}
},
"price": 2400,
"store": "ernestjones.co.uk",
"tags": [
"ernest-jones",
"bond"
],
"timestamp_creation": 1351622015,
"timestamp_exp": 1356825600,
"timestamp_update": 1351622015,
"title": "Omega Seamaster Diver Bond men's automatic watch - Ernest Jones",
"url": "http%3A%2F%2Fwww.ernestjones.co.uk%2Fwebstore%2Fd%2F5735793%2Fomega%20seamaster%20diver%20bond%20men%27s%20automatic%20watch%2F%3Futm_source%3Dgooglebase%26utm_medium%3Dfeedmanager%26cm_mmc%3DFroogle-_-CKB-_-nurses_fobs-_-watches%26cm_mmca1%3Domega%26cm_mmca2%3Dmale%26cm_mmca3%3Dadult"
}
}
]
}
}
The mapping of the index "shiv" looks like
{
"shiv": {
"properties": {
"$oid": {
"type": "string"
}
}
}
}
Thanks again
There are lots of ways to query, have you tried a match query?
Using curl or a rest client of your choice...
http://[host]:9200/[index_name]/[doc_type]/_search
{
"query" : {
"match" : {
"desc" : "some value you want to find in desc"
}
}
}