Hi I have below mongodb collection
{
"_id" : ObjectId("53ce993639203f573671d3f5"),
"user_id" : NumberLong(51),
"buses" : [
{
"slot_id" : NumberLong(50),
"status" : NumberLong(3),
"bus_id" : NumberLong(8)
},
{
"slot_id" : NumberLong(67),
"status" : NumberLong(3),
"bus_id" : NumberLong(12)
}
]
}
i want to pull sub array where bus_id=8.
Final result i want to be like this
{
"_id" : ObjectId("53ce993639203f573671d3f5"),
"user_id" : NumberLong(51),
"buses" : [
{
"slot_id" : NumberLong(67),
"status" : NumberLong(3),
"bus_id" : NumberLong(12)
}
]
}
When i tried with below query
db.collectionname.update({},{$pull: {buses: {bus_id:8}}},{multi: true})
I got below error in console,
Cannot apply $pull/$pullAll modifier to non-array
Can any one please suggest me how to achieve this,and also need php mongodb query also.
Thanks in Advance
Worked fine for me for your sample document:
> db.bus.findOne()
{
"_id" : ObjectId("53ce993639203f573671d3f5"),
"user_id" : NumberLong(51),
"buses" : [
{
"slot_id" : NumberLong(50),
"status" : NumberLong(3),
"bus_id" : NumberLong(8)
},
{
"slot_id" : NumberLong(67),
"status" : NumberLong(3),
"bus_id" : NumberLong(12)
}
]
}
> db.bus.update({}, { "$pull" : { "buses" : { "bus_id" : 8 } } }, { "multi" : true })
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
> db.bus.findOne()
{
"_id" : ObjectId("53ce993639203f573671d3f5"),
"user_id" : NumberLong(51),
"buses" : [
{
"slot_id" : NumberLong(67),
"status" : NumberLong(3),
"bus_id" : NumberLong(12)
}
]
}
The cause of the problem is that some buses element is not an array. What does the query
> db.bus.find({ "buses.0" : { "$exists" : 0}, "buses" : { "$ne" : [] } })
return? This query finds documents where there is no 0th element of the array and the array is not empty, so it should return documents where buses is not an array.
Related
I have a document looking like this:
{
"_id" : ObjectId("5f60ffc5aefd067a9ff9345c"),
"_class" : "com.kalsym.smart.sms.data.MSASMS",
"number1" : NumberLong(923211105469),
"numbers2" : [
{
"field1" : "20200915532E888",
"number2" : NumberLong(923018565627),
"field2" : "abcd",
"datefield" : ISODate("2020-10-10T17:54:09.886Z")
},
{
"field1" : "2020092570A6948",
"number2" : NumberLong(923018565627),
"field2" : "efgh",
"datefield" : ISODate("2020-10-06T15:23:04.891Z")
},
{
"field1" : "2020092570A6948",
"number2" : NumberLong(923018565627),
"field2" : "ijkl",
"datefield" : ISODate("2020-10-03T15:23:04.891Z")
}
],
"optInCount" : 0
}
I want to delete array indices containing datefield value greater than 2020-10-04
After executing the command document must be updated like this:
{
"_id" : ObjectId("5f60ffc5aefd067a9ff9345c"),
"_class" : "com.kalsym.smart.sms.data.MSASMS",
"number1" : NumberLong(923211105469),
"numbers2" : [
{
"field1" : "2020092570A6948",
"number2" : NumberLong(923018565627),
"field2" : "ijkl",
"datefield" : ISODate("2020-10-03T15:23:04.891Z")
}
],
"optInCount" : 0
}
You can use updateMany() or update(), and $pull to remove matching record form array,
db.collection.updateMany({},
{
$pull: {
numbers2: { datefield: { $gt: ISODate("2020-10-04T00:00:00.000Z") } }
}
})
Playground
{
"_id" : "tenant/data/EMAIL/ENGLISH",
"tenantId" : "tenant2",
"channelType" : "EMAIL",
"template" : [
{
"_id" : "1",
"templateName" : "abc",
"effectiveStartDate" : ISODate("2017-01-01T12:00:00.000Z"),
"modifiedDate" : ISODate("2017-06-02T22:08:55.782Z"),
"active" : false
}
]
}
I need to update the "templateName" : "xyz" on the basis of "_id" : "tenant/data/EMAIL/ENGLISH"
I have tried these queries but got no success
db.getCollection('data').updateOne({"_id": "tenant/data/EMAIL/ENGLISH"},
{$set : { "template.$.templateName" : "XYZ"}});
db.getCollection('data').updateOne({"_id": "tenant/data/EMAIL/ENGLISH"},
{$set : { "template.templateName" : "XYZ"}});
Any help will be appreciated.
I have used positional-all operator to update the array.
Here is the query:
db.sample.update(
{
"_id": "tenant/data/EMAIL/ENGLISH"
},
{
$set:{
"template.$[].templateName":"XYZ"
}
}
)
Output
{
"_id" : "tenant/data/EMAIL/ENGLISH",
"tenantId" : "tenant2",
"channelType" : "EMAIL",
"template" : [
{
"_id" : "1",
"templateName" : "XYZ",
"effectiveStartDate" : ISODate("2017-01-01T12:00:00Z"),
"modifiedDate" : ISODate("2017-06-02T22:08:55.782Z"),
"active" : false
}
]
}
hope this will help :)
I have the following document and want to update state
Document ID: ObjectId("5a4e5a448b70d50e34d204a5")
Target ID: ObjectId("5a4e5a438b70d50e34d203ea")
I have no idea how to update the state to e.g. 4
{
"_id" : ObjectId("5a4e5a448b70d50e34d204a5"),
"name" : "Wirtschaftsdienst",
"date" : ISODate("2012-10-07T00:00:00.000Z"),
"comment" : null,
"tasks" : [
{
"name" : "Speisen und Getränke",
"sections" : [
{
"start" : 46800,
"end" : 72000,
"entirely" : true,
"assistants" : [
{
"assistant" : {
"_id" : ObjectId("5a4e5a438b70d50e34d203ea")
},
"state" : 3
},
{
"assistant" : {
"_id" : ObjectId("5a4e5a438b70d50e34d203f4")
},
"state" : 3
}
]
}
]
}
]
}
Use positional operator $[] along with arrayFilters to get your job done!
Try this query:
db.collection.update(
{"_id" : ObjectId("5a4e5a448b70d50e34d204a5")},
{$set: {"tasks.$[].sections.$[].assistants.$[element].state":4}},
{arrayFilters: [ {"element.assistant":{"_id" :
ObjectId("5a4e5a438b70d50e34d203ea")} }
], multi:true}
)
And the output is:
/* 1 */
{
"_id" : ObjectId("5a4e5a448b70d50e34d204a5"),
"name" : "Wirtschaftsdienst",
"date" : ISODate("2012-10-07T00:00:00.000Z"),
"comment" : null,
"tasks" : [
{
"name" : "Speisen und Getränke",
"sections" : [
{
"start" : 46800,
"end" : 72000,
"entirely" : true,
"assistants" : [
{
"assistant" : {
"_id" : ObjectId("5a4e5a438b70d50e34d203ea")
},
"state" : 4.0
},
{
"assistant" : {
"_id" : ObjectId("5a4e5a438b70d50e34d203f4")
},
"state" : 3.0
}
]
}
]
}
]
}
How to write query to return object between dates? Query should search nested property. I use $gte and $lte but it doesn't seem to work as I expected. I want to return 'task' object which has got history.startTime between two dates.
db.tasks.find({'history.startTime' : { '$gte': ISODate("2017-02-04T00:00:00.000Z"), '$lt': ISODate("2017-02-05T23:00:00.000Z")} }).pretty()
{
"_id" : ObjectId("588f53c5d00baa2558fd56ae"),
"desc" : "test3",
"category" : "Category1",
"project" : "Project1",
"_creator" : "582afb3800c1bc1f203edf39",
"history" : [
{
"startTime" : ISODate("2017-02-06T11:49:42.570Z"),
"stopTime" : ISODate("2017-02-06T11:49:45.725Z"),
"_id" : ObjectId("589862d9449b4629f8dbaba7"),
"dt" : 3.155
},
{
"startTime" : ISODate("2017-02-06T08:53:53.086Z"),
"stopTime" : ISODate("2017-02-06T11:47:58.098Z"),
"_id" : ObjectId("5898626e449b4629f8dbaba6"),
"dt" : 10445.012
},
{
"startTime" : ISODate("2017-01-30T15:30:46.287Z"),
"stopTime" : ISODate("2017-01-30T15:32:52.979Z"),
"_id" : ObjectId("588f5c2cd00baa2558fd56b0"),
"dt" : 126.692
},
{
"startTime" : ISODate("2017-01-30T13:55:09.738Z"),
"stopTime" : ISODate("2017-01-30T14:55:13.974Z"),
"_id" : ObjectId("588f53d1d00baa2558fd56af"),
"dt" : 3604.236
}
],
"isCompleted" : false,
"isPerforming" : false,
"duration" : 14179.095000000001,
"updated" : ISODate("2017-02-06T11:49:45.725Z"),
"creationDate" : ISODate("2017-01-30T14:55:01.045Z"),
"__v" : 4
}
It is an array. Your query won't work. You have to use $elemMatch.
db.tasks.find({
'history': {
$elemMatch: {
startTime: {
$gte: ISODate("2017-02-04T00:00:00.000Z"),
$lte: ISODate("2017-02-05T23:00:00.000Z")
}
}
}
});
I am trying to profile the performance of an aggregation pipeline, specifically checking whether indices are used, how many objects are scanned, etc.
I'm setting the DB to full profiling:
db.setProfilingLevel(2)
But then in the db's 'system.profile' collection, in the result record for the aggregation command, the execStats is always empty.
Here is the full result for the command:
{
"op" : "command",
"ns" : "mydb.$cmd",
"command" : {
"aggregate" : "mycolection",
"pipeline" : [{
"$match" : {
"date" : {
"$gte" : "2013-11-26"
}
}
}, {
"$sort" : {
"user_id" : 1
}
}, {
"$project" : {
"user_id" : 1,
"_id" : 0
}
}, {
"$group" : {
"_id" : "$user_id",
"agg_val" : {
"$sum" : 1
}
}
}],
"allowDiskUse" : true
},
"keyUpdates" : 0,
"numYield" : 16,
"lockStats" : {
"timeLockedMicros" : {
"r" : NumberLong(3143653),
"w" : NumberLong(0)
},
"timeAcquiringMicros" : {
"r" : NumberLong(140),
"w" : NumberLong(3)
}
},
"responseLength" : 4990,
"millis" : 3237,
"execStats" : { },
"ts" : ISODate("2014-11-26T16:20:59.576Z"),
"client" : "127.0.0.1",
"allUsers" : [],
"user" : ""
}
Support execStats for aggregation command was added in mongo 3.4.