1

I'm not getting the way to write the equivalent query in java for driver version 3.4 of this aggregation query:

db.getCollection('MYTABLE').aggregate([ 
     {"$match": { "ID_STATUSMATRICULA": 1 } }, 
     {"$group": {
        "_id": null,
        "TOTAL" : { $sum: 1 },

        "MEDIA_APROVADOS": { 
            "$avg": {
                "$cond": [ { "$eq": [ "$ID_STATUSAPROVEITAMENTO", 1 ] }, "$NR_APROVEITAMENTO", 0, ]
            }
        },
        "MEDIA_REPROVADOS": { 
            "$avg": {
                "$cond": [ { "$eq": [ "$ID_STATUSAPROVEITAMENTO", 2 ] }, "$NR_APROVEITAMENTO", 0, ]
            }
        },
        "APROVADOS": { 
            "$sum": {
                "$cond": [ { "$eq": [ "$ID_STATUSAPROVEITAMENTO", 1 ] }, 1, 0, ]
            }
        },
        "REPROVADOS": { 
            "$sum": {
                "$cond": [ { "$eq": [ "$ID_STATUSAPROVEITAMENTO", 2 ] }, 1, 0, ]
            }
        },
        "PENDENTES": { 
            "$sum": {
                "$cond": [ { "$eq": [ "$ID_STATUSAPROVEITAMENTO", 0 ] }, 1, 0, ]
            }
        }
    }}
])

Anyone can help me with this ? I found many samples for old driver 2.2, but very poor documentation for 3.4 version.


SOLVED After Sagar Reddy answer, I can write the equivalent in java:

List pma = asList(new Document("$eq", asList("$ID_STATUSAPROVEITAMENTO", 1)), "$NR_APROVEITAMENTO", 0);
List pmr = asList(new Document("$eq", asList("$ID_STATUSAPROVEITAMENTO", 2)), "$NR_APROVEITAMENTO", 0);
List psa = asList(new Document("$eq", asList("$ID_STATUSAPROVEITAMENTO", 1)), 1, 0);
List psr = asList(new Document("$eq", asList("$ID_STATUSAPROVEITAMENTO", 2)), 1, 0);
List psp = asList(new Document("$eq", asList("$ID_STATUSAPROVEITAMENTO", 0)), 1, 0);

        Bson match = Aggregates.match(Filters.eq("ID_STATUSMATRICULA", 1));
        Bson group = Aggregates.group(null,
            sum("TOTAL", 1),
            avg("MEDIA_APROVADOS", computed("$cond", pma) ),
            avg("MEDIA_REPROVADOS", computed("$cond", pmr) ),
            sum("APROVADOS", computed("$cond", psa) ),
            sum("REPROVADOS", computed("$cond", psr) ),
            sum("PENDENTES", computed("$cond", psp) )
        );

        AggregateIterable<Document> cursor = mTable.aggregate(asList(match, group));

1 Answer 1

4

You can try something like. Add the rest of fields to the $group aggregation similar as MEDIA_APROVADOS

import static com.mongodb.client.model.Accumulators.*;
import static com.mongodb.client.model.Aggregates.*;
import static com.mongodb.client.model.Projections.*;
import static java.util.Arrays.asList;

Bson match = Aggregates.match(Filters.eq("ID_STATUSMATRICULA", 1));
Bson group = group(null,
                avg("MEDIA_APROVADOS", 
                computed("$cond", 
                         asList(new Document("$eq", asList("$ID_STATUSAPROVEITAMENTO", 1)), 
                        "$NR_APROVEITAMENTO", 0))
                 )
           );
collection.aggregate(asList(match, group));
Sign up to request clarification or add additional context in comments.

Comments

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.