I think you are trying to make query using aggregation framework since you tried $match & $substr operators. I have created a simple example to show how you can use $substr to achive result you wanted on aggregation framework.
I have inserted following data into the MongoDB.
{ "_id" : ObjectId("528b343881d4fe2cfe0b1b25"), "time_stamp" : "2013-06-30 23:58:37 928" }
{ "_id" : ObjectId("528b343b81d4fe2cfe0b1b26"), "time_stamp" : "2013-06-30 23:58:37 928" }
{ "_id" : ObjectId("528b344c81d4fe2cfe0b1b27"), "time_stamp" : "2013-06-30 12:58:37 928" }
{ "_id" : ObjectId("528b344f81d4fe2cfe0b1b28"), "time_stamp" : "2013-06-30 12:58:23 928" }
{ "_id" : ObjectId("528b345381d4fe2cfe0b1b29"), "time_stamp" : "2013-06-31 12:58:23 928" }
{ "_id" : ObjectId("528b345981d4fe2cfe0b1b2a"), "time_stamp" : "2013-07-31 12:58:23 933" }
I wrote following code to group by date by using $substr operator.
db.myObject.aggregate(
{$project : {new_time_stamp : {$substr : ["$time_stamp",0, 10]}}},
{$group:{_id:"$new_time_stamp", "count": {$sum:1}}}
);
与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…