要执行此类操作,您需要聚合框架中的 $cond 运算符。 Spring Data MongoDB 还没有做到这一点,常见的$group 操作缺少很多东西,甚至只能在$project 下实现。
跟踪任何$cond 支持的实现的问题在这里:
https://jira.spring.io/browse/DATAMONGO-861
对于世界其他地方来说,它看起来像这样:
db.collection.aggregate([
{ "$match": { "_id": ObjectId("545b9fa0dd5318a4285f7ce7") } },
{ "$unwind": "$messages" },
{ "$group": {
"_id": "$_id",
"sent": {
"$sum": {
"$cond": [
{ "$eq": [ "$mesages.status", "sent" ] },
1,
0
]
}
},
"pending": {
"$sum": {
"$cond": [
{ "$eq": [ "$messages.status", "pending" ] },
1,
0
]
}
},
"done": {
"$sum": {
"$cond": [
{ "$eq": [ "$messages.status", "done" ] },
1,
0
]
}
}
}}
])
要让这种事情在 mongotemplate 聚合下工作,您需要一个扩展聚合操作的类,该类可以从 DBObject 构建:
public class CustomGroupOperation implements AggregationOperation {
private DBObject operation;
public CustomGroupOperation (DBObject operation) {
this.operation = operation;
}
@Override
public DBObject toDBObject(AggregationOperationContext context) {
return context.getMappedObject(operation);
}
}
然后您可以将“$group”定义为DBObject 并在聚合管道中实现:
DBObject myGroup = (DBObject)new BasicDBObject(
"$group", new BasicDBObject(
"_id","$_id"
).append(
"sent", new BasicDBObject(
"$sum", new BasicDBObject(
"$cond", new Object[]{
new BasicDBObject(
"$eq", new Object[]{ "$messages.status", "sent"}
),
1,
0
}
)
)
).append(
"pending", new BasicDBObject(
"$sum", new BasicDBObject(
"$cond", new Object[]{
new BasicDBObject(
"$eq", new Object[]{ "$messages.status", "pending"}
),
1,
0
}
)
)
).append(
"done", new BasicDBObject(
"$sum", new BasicDBObject(
"$cond", new Object[]{
new BasicDBObject(
"$eq", new Object[]{ "$messages.status", "done"}
),
1,
0
}
)
)
)
);
ObjectId myId = new ObjectId("545b9fa0dd5318a4285f7ce7");
Aggregation aggregation = newAggregation(
match(Criteria.where("_id").is(myId)),
unwind("messges"),
new CustomGroupOperation(myGroup)
);
这允许你想出一个与上面的 shell 表示基本相同的管道。
因此,目前看来,在某些操作和序列不受支持的情况下,最好的情况是在 AgggregationOperation 接口上实现一个类,该类可以提供一个 DBObject 或以其他方式从您自己的自定义方法内部构造一个。