Earlier I had below mentioned aggregation pipeline.
db.EXCEPTIONS.aggregate(
[{ $match : {
$and : [
{workflow_stage_current_assignee : {$ne:null}},
{CreatedDate:{$gt:ISODate("2017-07-12")}},
{CreatedDate:{$lt:ISODate("2018-07-12")}}
]}
},
{
$group : {_id: {user : "$workflow_stage_current_assignee", cm:"$control_monitor"},
exceptions:{$sum:1} }
},
{ $project : {"user":1,"cm":1,"exceptions":1}},
{ $sort : {"exceptions":1}}
]);
And corresponding conversion in Mongo template is as below.
Calendar fromDate = Calendar.getInstance();
fromDate.set(2016, 7, 12, 0, 0, 0);
Calendar toDate = Calendar.getInstance();
toDate.set(2018, 7, 12, 23, 59, 59);
MatchOperation match = Aggregation.match(new Criteria("workflow_stage_current_assignee").ne(null)
.andOperator(new Criteria("CreatedDate").gte(new Date(fromDate.getTimeInMillis()))
.andOperator(new Criteria("CreatedDate").lte(new Date(toDate.getTimeInMillis())))));
GroupOperation group = Aggregation.group("workflow_stage_current_assignee","control_monitor").count().as("exceptions");
ProjectionOperation project = Aggregation.project("workflow_stage_current_assignee","control_monitor","exceptions");
SortOperation sort=Aggregation.sort(Sort.Direction.DESC,"exceptions");
Aggregation aggregation = Aggregation.newAggregation(match,group,project,sort);
AggregationResults<ExceptionCount> output = mongoTemplate.aggregate(aggregation, "EXCEPTIONS", ExceptionCount.class);
This worked fine. Then I modified original query as below and added additional grouping option as overdue.
$group : {_id: {user : "$workflow_stage_current_assignee", cm:"$control_monitor"},
exceptions:{$sum:1},
},
overdue: {$sum : {$cond :[
{$gt:["$CreatedDate",ISODate("2017-07-12")]},1,0
]}
}
But I am not aware how to achieve this additional group clause in Mongo Template queries. I searched on internet but most of the results use DBObject from older API. Can any one help me in this with Mongo Template?
Finally I found the answer!
Since I couldn't find a way to conditionally group the fields using Mongo template, I had to tweak the logic of aggregation pipeline itself.
So code changes required are as below.
Step 1
I modified my projection clause and added another conditional projection field as below.
Cond overdueCondition = ConditionalOperators.when(new Criteria("CreatedDate").gt(new Date())).then(1).otherwise(0);
ProjectionOperation project = Aggregation.project("workflow_stage_current_assignee","control_monitor","exceptions").and("overdue").applyCondition(overdueCondition);
The result of this operation would reduce my result set to something like this:
{
"workflow_stage_current_assignee" : "Yogesh",
"control_monitor" : "P005",
"exceptions":"",
"overdue" : 1
},
{
"workflow_stage_current_assignee" : "Yogesh",
"control_monitor" : "P005",
"exceptions":"",
"overdue" : 0
}...
After step 1, I got another field in projection called overdue, with value either 1 or 0 depending on if my condition is satisfied or not.
Step 2
Then in group clause I used Sum operator to add all such overdue fields.
GroupOperation group = Aggregation.group("workflow_stage_current_assignee","control_monitor").count().as("exceptions").sum("overdue").as("overdue");
Step 3
And finally I modified my aggregation pipeline to perform Projection operation first and then group all the results.
Aggregation aggregation = Aggregation.newAggregation(match,project,group,sort);
This gave me required results!