We have a collection of documents representing document upload jobs, like the following:
{
"_id" : NumberLong(807106),
"_class" : "com.*.FileUploadJob",
"createdDate" : ISODate("2018-12-12T17:04:32.042Z"),
"jobConfigurationId" : NumberLong(5382),
"fileName" : "807106.xlsx",
"rowCount" : NumberLong(2),
"successfullyStagedRowsCount" : NumberLong(1),
"status" : "COMMIT_COMPLETED",
"rowProcessingComplete" : true
}
When I try to find this record, none of the following works:
db.fileUploadJob.find({"_id": ObjectId(807106)})
db.fileUploadJob.find({"_id": ObjectId("807106")})
db.fileUploadJob.find(ObjectId("807106"))
db.fileUploadJob.find({"_id": "807106"})
db.fileUploadJob.find({"_id": 807106})
...
How do I find that elusive entry?
Found the answer!
db.fileUploadJob.find({"_id": NumberLong(807106)})
I had to copy and paste the document JSON to a text editor from Robo3T to see what type it was!
Related
I tried to create category hierarchy.So,I refer this link (https://docs.mongodb.com/ecosystem/use-cases/category-hierarchy/) link given number example how to create category hierarchy .but I have a doubt I this example is used slug field.why to use slug I could not understand can you please give solution.
Example Document
{ "_id" : ObjectId("4f5ec858eb03303a11000002"),
"name" : "Modal Jazz",
"parent" : ObjectId("4f5ec858eb03303a11000001"),
"slug" : "modal-jazz",
"ancestors" : [
{ "_id" : ObjectId("4f5ec858eb03303a11000001"),
"slug" : "bop",
"name" : "Bop" },
{ "_id" : ObjectId("4f5ec858eb03303a11000000"),
"slug" : "ragtime",
"name" : "Ragtime" } ]
}
what is slug ?
Which purpose using in document ?
why to use slug field ?
Slug field is URL shortcut to get document or sub/document is simple way.
Slug is used in document to make easy get document from URL
For example, typing http://**host**/modal-jazz you should get document that has "modal-jazz" as 'slug'.
I hope i helped you a bit.
I have below documents in mongodb, am trying to delete the documents based on the referenceId field between the values X0000000005 and X00000000010, I couldnt find any articles for deleting mongo documents based on custom field, can someone please help me to do this deletion if its possible?
{
"_id" : ObjectId("5a0f13ad0a83924b84d16b7d"),
"senderId" : "783",
"clientId" : "146196",
"referenceId" : "X00000000001",
"file" : "jAAAAAECAAABaAAAAKQAAJyMKYqPYvFQKJrZ/fqYjDKNdXdOMK58tPQ"
}
{
"_id" : ObjectId("5a0f13ad0a83924b84d16b7e"),
"senderId" : "783",
"clientId" : "146196",
"referenceId" : "X00000000002",
"file" : "jAAAAAECAAABaAAAAKQAAJyMKYqPYvFQKJrZ/fqYjDKNdXdOMK58tPQ"
}
.
.
.
.
.
.
{
"_id" : ObjectId("5a0f13ad0a83924b84d16b7f"),
"senderId" : "783",
"clientId" : "146196",
"referenceId" : "X00000000020",
"file" : "jAAAAAECAAABaAAAAKQAAJyMKYqPYvFQKJrZ/fqYjDKNdXdOMK58tPQ"
}
The following simple query should work:
db.collection.remove({"referenceId":{$gte:"X00000000005"}, "referenceId":{$lte:"X00000000010"}})
You might want to run a find() using the same filter first in order to make sure that the delete() will affect the right records. That'd obviously be this then:
db.collection.find({"referenceId":{$gte:"X00000000005"}, "referenceId":{$lte:"X00000000010"}})
Also, depending on the exact definition of your
between the values X0000000005 and X00000000010
you might need to swap the $lte and $gte operators out for something else ($gt and/or $lt).
db.collection.remove({"referenceId": {"$lte": "X00000000010", "gte": "X0000000005"}})
I have a MongoDb collection named "users" with the following structure:
{
"_id" : ObjectId("akk34kt6"),
"email" : "mymail#mail.com",
"lastName" : "MyLastName",
"firstName" : "MyFirstName",
"password" : "password",
"admin" : true
}
I would like to change
"_id" : ObjectId("akk34kt6")
to
"_id" : "akk34kt6"
for every record. How can I do it from Mongo Shell ?
You can't update "_id". A possible answer to your question can be found at
How update the _id of one MongoDB Document?
I have a document and I need to query mongodb database to return me all the documents which was inserted after current document.
Is it possible and how to do that query?
If you do not override the default _id field you can use that objectID (see the mongodb docs) to make a comparison by time. For instance, the following query will find all the documents that are inserted after curDoc has been inserted (assuming none overwrite the _id field):
>db.test.find({ _id : {$gt : curDoc._id}})
Note that these timestamps are not super granular, if you would like a finer grained view of the time that documents are inserted I encourage you to add your own timestamp field to the documents you are inserting and use that field to make such queries.
If you are using Insert time stamp as on of the parameter, you can query like below
> db.foo.find()
{ "_id" : ObjectId("514bf8bbbe11e483111af213"), "Name" : "abc", "Insert_time" : ISODate("2013-03-22T06:22:51.422Z") }
{ "_id" : ObjectId("514bf8c5be11e483111af214"), "Name" : "xyz", "Insert_time" : ISODate("2013-03-22T06:23:01.310Z") }
{ "_id" : ObjectId("514bf8cebe11e483111af215"), "Name" : "pqr", "Insert_time" : ISODate("2013-03-22T06:23:10.006Z") }
{ "_id" : ObjectId("514bf8eabe11e483111af216"), "Name" : "ijk", "Insert_time" : ISODate("2013-03-22T06:23:38.410Z") }
>
Here my Insert_time corresponds to the document inserted time, and following query will give you the documents after a particular Insert_time,
> db.foo.find({Insert_time:{$gt:ISODate("2013-03-22T06:22:51.422Z")}})
{ "_id" : ObjectId("514bf8c5be11e483111af214"), "Name" : "xyz", "Insert_time" : ISODate("2013-03-22T06:23:01.310Z") }
{ "_id" : ObjectId("514bf8cebe11e483111af215"), "Name" : "pqr", "Insert_time" : ISODate("2013-03-22T06:23:10.006Z") }
{ "_id" : ObjectId("514bf8eabe11e483111af216"), "Name" : "ijk", "Insert_time" : ISODate("2013-03-22T06:23:38.410Z") }
>
When i don't use pagination, everything works fine (i have only 3 records in this collection, so all of them are listed here):
db.suppliers.find({location: {$near: [-23.5968323, -46.6782386]}},{name:1,badge:1}).sort({badge:-1})
{ "_id" : ObjectId("4f33ff549112b9b84f000070"), "badge" : 3, "name" : "Dedetizadora Alvorada" }
{ "_id" : ObjectId("4f33ff019112b9b84f00005b"), "badge" : 2, "name" : "Sampex Desentupidora e Dedetizadora" }
{ "_id" : ObjectId("4f33feae9112b9b84f000046"), "badge" : 1, "name" : "Higitec Desentupimento e Dedetização" }
But when i try to paginate from the first to the second page, one record doesn't show up and one is repeated:
db.suppliers.find({location: {$near: [-23.5968323, -46.6782386]}},{name:1,badge:1}).sort({badge:-1}).skip(0).limit(2)
{ "_id" : ObjectId("4f33ff549112b9b84f000070"), "badge" : 3, "name" : "Dedetizadora Alvorada" }
{ "_id" : ObjectId("4f33feae9112b9b84f000046"), "badge" : 1, "name" : "Higitec Desentupimento e Dedetização" }
db.suppliers.find({location: {$near: [-23.5968323, -46.6782386]}},{name:1,badge:1}).sort({badge:-1}).skip(2).limit(2)
{ "_id" : ObjectId("4f33feae9112b9b84f000046"), "badge" : 1, "name" : "Higitec Desentupimento e Dedetização" }
Am i doing something wrong or is this some kind of bug?
edit:
Here is a workaround for this. Basically you shouldn't mix $near queries with sorting; use $within instead.
There is an open issue regarding the same problem. Please have a look & vote Geospatial result paging fails when sorting with additional keys