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Mongo upsert do not return modified object _id on update

Mongodb 4.2.15
I'm tring to use mongo Updates with Aggregation Pipeline
My request is very big but here it's core structure
db.runCommand({
"update": "collectionName",
"updates": [
{
"q": { ... },
"u": [
{
"$project": { ... },
"$set": { ... },
"$set": { ... },
"$project": { ... }
}
],
"multi": false,
"upsert": true
}
]
});
After the first execute I receive a result with newly created object's _id
{
"n" : 1,
"nModified" : 0,
"upserted" : [
{
"index" : 0,
"_id" : ObjectId("619997f11501d6eb40c6f64a")
}
],
"opTime" : {
"ts" : Timestamp(1637455857, 61),
"t" : NumberLong(5)
},
"electionId" : ObjectId("7fffffff0000000000000005"),
"ok" : 1.0,
"$clusterTime" : {
"clusterTime" : Timestamp(1637455857, 61),
"signature" : {
"hash" : { "$binary" : "hA0tf5DXMqTNmnVXdMVnpnAKCU0=", "$type" : "00" },
"keyId" : NumberLong(7018546168816730116)
}
},
"operationTime" : Timestamp(1637455857, 61)
}
After the second execution of the same request there is no modified object's _id
{
"n" : 1,
"nModified" : 1,
"opTime" : {
"ts" : Timestamp(1637456057, 19),
"t" : NumberLong(5)
},
"electionId" : ObjectId("7fffffff0000000000000005"),
"ok" : 1.0,
"$clusterTime" : {
"clusterTime" : Timestamp(1637456057, 19),
"signature" : {
"hash" : { "$binary" : "U2yCP6nXUrjBN9ZiLanyl0rgxww=", "$type" : "00" },
"keyId" : NumberLong(7018546168816730116)
}
},
"operationTime" : Timestamp(1637456057, 19)
}
The thing is that my filter conditions do not contain _id of the object but I need to return it with response. I see no useful request configurations. Any suggestions is it possible to get _id at response on update case?

Removing default fields from java elasticsearch querybuilder

Elasticsearch Java client's QueryBuider instance is adding properties like
1) order
2) min_doc_count
3) shard_min_doc_count
4) show_term_doc_count_error
5) lang
6) gap_policy
to the final Json query. My query works as expected without those properties. I want to prevent those properties from being added to my final query.
Java:
FilterAggregationBuilder aggregation = AggregationBuilders.filter("id", QueryBuilders.termsQuery("id",
"my-name"));
TermsAggregationBuilder lev1Agg = AggregationBuilders.terms("id").field("id");
lev1Agg.size(1);
lev1Agg.subAggregation(AggregationBuilders.sum("familyMemberCount").field("membersInFamily"));
lev1Agg.subAggregation(AggregationBuilders.sum("totalKidsInFamily").field("kidsInFamily"));
Map<String, String> bucketsPathsMap = new HashMap<>();
bucketsPathsMap.put("familyMemberCount", "familyMemberCount");
bucketsPathsMap.put("totalKidsInFamily", "totalKidsInFamily");
Script script = new Script("params.familyMemberCount / params.totalKidsInFamily");
BucketScriptPipelineAggregationBuilder bs = PipelineAggregatorBuilders
.bucketScript("myScript", bucketsPathsMap, script);
lev1Agg.subAggregation(bs);
aggregation.subAggregation(lev1Agg);
searchSourceBuilder = new SearchSourceBuilder().aggregation(aggregation);
searchSourceBuilder.size(0);
Query built by above code
GET my-alias/_search
{
"size" : 0,
"aggregations" : {
"id" : {
"filter" : {
"terms" : {
"name" : [
"my-name"
],
"boost" : 1.0
}
},
"aggregations" : {
"id" : {
"terms" : {
"field" : "name",
"size" : 1,
"min_doc_count" : 1,
"shard_min_doc_count" : 0,
"show_term_doc_count_error" : false,
"order" : [
{
"_count" : "desc"
},
{
"_term" : "asc"
}
]
},
"aggregations" : {
"familyMemberCount" : {
"sum" : {
"field" : "membersInFamily"
}
},
"totalKidsInFamily" : {
"sum" : {
"field" : "kidsInFamily"
}
},
"myScript" : {
"bucket_script" : {
"buckets_path" : {
"familyMemberCount" : "familyMemberCount",
"totalKidsInFamily" : "totalKidsInFamily"
},
"script" : {
"source" : "params.familyMemberCount / params.totalKidsInFamily",
"lang" : "painless"
},
"gap_policy" : "skip"
}
}
}
}
}
}
}
}

How to read nested array from MonogDB using Java

I need to find the record/count where eventDetails.eventDelivery.stateCode = "Y-FINISH". It could be in any element in the array list.
Just want to find where stateCode = "Y-FINISH" present in the array list.
Sample Data #1:
{
"_id" : ObjectId("5a2fb09736cf07f6a1146691"),
"activityID" : "",
"eventDetails" : [
{
"eventDelivery" : {
"digital" : {
"secureid" : "1231321212"
},
"stateCode" : "X-FINISH",
"state" : "SUCCESS"
},
{
"eventDelivery" : {
"digital" : {
"secureid" : "8762871121"
},
"stateCode" : "Y-FINISH",
"state" : "SUCCESS"
}
],
}
Sample Data #2:
{
"_id" : ObjectId("5a2fb09736cf07f6a1146691"),
"activityID" : "",
"eventDetails" : [
{
"eventDelivery" : {
"digital" : {
"secureid" : "1231321212"
},
"stateCode" : "X-FINISH",
"state" : "SUCCESS"
},
{
"eventDelivery" : {
"digital" : {
"secureid" : "8762871121"
},
"stateCode" : "Y-FINISH",
"state" : "SUCCESS"
},
{
"eventDelivery" : {
"digital" : {
"secureid" : "7651327152
},
"stateCode" : "Z-FINISH",
"state" : "SUCCESS"
}
],
}
Need to read this using Java.

Using a 3.x version of the Mongo Java driver ...
MongoClient mongoClient = ...;
MongoCollection<Document> collection = mongoClient.getDatabase("...")
.getCollection("...");
Bson filter = Filters.eq("eventDetails.stateCode", "Y-FINISH");
long count = collection.count(filter);

How to count number of occurence of specific field in a collection in Mongodb

I have my collection as shown below:
{
"_id" : NumberLong(366),
"file" : "xyz",
"clist" : {
"account" : "BFS",
"subAccount":"a"
},
},
{
"_id" : NumberLong(366),
"file" : "xyz",
"clist" : {
"account" : "BFS",
"subAccount":"b"
},
},
{
"_id" : NumberLong(366),
"file" : "xyz",
"clist" : {
"account" : "HC",
"subAccount":"c"
},
}
In that I have to group by account and count number of subAccount; for example:
{
account : "BFS",
subAccount : "b",
count : 1,
subAccount :"a",
count : 1
}
If for account BFS, subAccount b exists two times, then I should get output like this:
{
account : "BFS",
subAccount : "b",
count : 2,
subAccount : "a",
count : 1
}

May this help you...
db.coll.aggregate([ {
"$group" : {
"_id" : {
"account" : "$clist.account",
"subAccount" : "$clist.subAccount"
},
"count" : {
"$sum" : 1
}
}
}, {
$project : {
_id : 0,
"account" : "$_id.account",
"subAccount" : "$_id.subAccount",
"count" : "$count"
}
}, {
$group : {
_id : "$account",
"subaccounts" : {
"$push" : {
"subAccount" : "$subAccount",
"count" : "$count"
}
}
}
} ])

Gets documents and total count of them in single query include pagination

I'm new in mongo and use mongodb aggregation framework for my queries. I need to retrieve some records which satisfy certain conditions(include pagination+sorting) and also get total count of records.
Now, I perform next steps:
Create $match operator
{ "$match" : { "year" : "2012" , "author.authorName" : { "$regex" :
"au" , "$options" : "i"}}}
Added sorting and pagination
{ "$sort" : { "some_field" : -1}} , { "$limit" : 10} , { "$skip" : 0}
After querying I receive the expected result: 10 documents with all fields.
For pagination I need to know the total count of records which satisfy these conditions, in my case 25.
I use next query to get count : { "$match" : { "year" : "2012" , "author.authorName" : { "$regex" : "au" , "$options" : "i"}}} , { "$group" : { "_id" : "$all" , "reviewsCount" : { "$sum" : 1}}} , { "$sort" : { "some_field" : -1}} , { "$limit" : 10} , { "$skip" : 0}
But I don't want to perform two separate queries: one for retrieving documents and second for total counts of records which satisfy certain conditions.
I want do it in one single query and get result in next format:
{
"result" : [
{
"my_documets": [
{
"_id" : ObjectId("512f1f47a411dc06281d98c0"),
"author" : {
"authorName" : "author name1",
"email" : "email1#email.com"
}
},
{
"_id" : ObjectId("512f1f47a411dc06281d98c0"),
"author" : {
"authorName" : "author name2",
"email" : "email2#email.com"
}
}, .......
],
"total" : 25
}
],
"ok" : 1
}
I tried modify the group operator : { "$group" : { "_id" : "$all" , "author" : "$author" "reviewsCount" : { "$sum" : 1}}}
But in this case I got : "exception: the group aggregate field 'author' must be defined as an expression inside an object". If add all fields in _id then reviewsCount always = 1 because all records are different.
Nobody know how it can be implement in single query ? Maybe mongodb has some features or operators for this case? Implementation with using two separate query reduces performance for querying thousand or millions records. In my application it's very critical performance issue.
I've been working on this all day and haven't been able to find a solution, so thought i'd turn to the stackoverflow community.
Thanks.

You can try using $facet in the aggregation pipeline as
db.name.aggregate([
{$match:{your match criteria}},
{$facet: {
data: [{$sort: sort},{$skip:skip},{$limit: limit}],
count:[{$group: {_id: null, count: {$sum: 1}}}]
}}
])
In data, you'll get your list with pagination and in the count, count variable will have a total count of matched documents.

Ok, I have one example, but I think it's really crazy query, I put it only for fun, but if this example faster than 2 query, tell us about it in the comments please.
For this question i create collection called "so", and put into this collection 25 documents like this:
{
"_id" : ObjectId("512fa86cd99d0adda2a744cd"),
"authorName" : "author name1",
"email" : "email1#email.com",
"c" : 1
}
My query use aggregation framework:
db.so.aggregate([
{ $group:
{
_id: 1,
collection: { $push : { "_id": "$_id", "authorName": "$authorName", "email": "$email", "c": "$c" } },
count: { $sum: 1 }
}
},
{ $unwind:
"$collection"
},
{ $project:
{ "_id": "$collection._id", "authorName": "$collection.authorName", "email": "$collection.email", "c": "$collection.c", "count": "$count" }
},
{ $match:
{ c: { $lte: 10 } }
},
{ $sort :
{ c: -1 }
},
{ $skip:
2
},
{ $limit:
3
},
{ $group:
{
_id: "$count",
my_documets: {
$push: {"_id": "$_id", "authorName":"$authorName", "email":"$email", "c":"$c" }
}
}
},
{ $project:
{ "_id": 0, "my_documets": "$my_documets", "total": "$_id" }
}
])
Result for this query:
{
"result" : [
{
"my_documets" : [
{
"_id" : ObjectId("512fa900d99d0adda2a744d4"),
"authorName" : "author name8",
"email" : "email8#email.com",
"c" : 8
},
{
"_id" : ObjectId("512fa900d99d0adda2a744d3"),
"authorName" : "author name7",
"email" : "email7#email.com",
"c" : 7
},
{
"_id" : ObjectId("512fa900d99d0adda2a744d2"),
"authorName" : "author name6",
"email" : "email6#email.com",
"c" : 6
}
],
"total" : 25
}
],
"ok" : 1
}
By the end, I think that for big collection 2 query (first for data, second for count) works faster. For example, you can count total for collection like this:
db.so.count()
or like this:
db.so.find({},{_id:1}).sort({_id:-1}).count()
I don't fully sure in first example, but in second example we use only cursor, which means higher speed:
db.so.find({},{_id:1}).sort({_id:-1}).explain()
{
"cursor" : "BtreeCursor _id_ reverse",
"isMultiKey" : false,
"n" : 25,
"nscannedObjects" : 25,
"nscanned" : 25,
"nscannedObjectsAllPlans" : 25,
"nscannedAllPlans" : 25,
"scanAndOrder" : false,
!!!!!>>> "indexOnly" : true, <<<!!!!!
"nYields" : 0,
"nChunkSkips" : 0,
"millis" : 0,
...
}

For completeness (full discussion was on the MongoDB Google Groups) here is the aggregation you want:
db.collection.aggregate(db.docs.aggregate( [
{
"$match" : {
"year" : "2012"
}
},
{
"$group" : {
"_id" : null,
"my_documents" : {
"$push" : {
"_id" : "$_id",
"year" : "$year",
"author" : "$author"
}
},
"reviewsCount" : {
"$sum" : 1
}
}
},
{
"$project" : {
"_id" : 0,
"my_documents" : 1,
"total" : "$reviewsCount"
}
}
] )
By the way, you don't need aggregation framework here - you can just use a regular find. You can get count() from a cursor without having to re-query.