Reputation: 719
I have the following data structure in my Couch database.
I need to get the count of distinct sessions_id
's per day. The records must also filter by the app_version
as well.
My current MapReduce looks like this
"dau": {
"map": "function(doc) {
date = doc.session.timestamp.split("T")[0];
emit([date, doc.app_version, doc.session.session_id], 1);
}",
"reduce": "_count"
}
But this gives me the output as following
["2014-08-20", 2, "kOnNIhCNQ31LlkpEPQ7XnN1D"] 1 ["2014-08-20", 2, "TOnNIhCNQ31LlkpEPQ7XnN1D"] 2 ["2014-08-21", 2, "TOnNIhCNQ31LlkpEPQ7XnN1D"] 2
I need this to be printed as - because that's the number of unique session_id
s per day
["2014-08-20", 2] 2 ["2014-08-21", 2] 1
Any Ideas on how to?
Any help would be much appreciated.
[
{
"app_version": 2,
"platform": "android",
"session": {
"timestamp": "2014-08-20T00:00:00.000Z",
"session_id": "TOnNIhCNQ31LlkpEPQ7XnN1D",
"ip": "202.150.213.66",
"location": "1.30324,103.5498"
}
},
{
"app_version": 2,
"platform": "android",
"session": {
"timestamp": "2014-08-21T00:00:00.000Z",
"session_id": "TOnNIhCNQ31LlkpEPQ7XnN1D",
"ip": "202.150.213.66",
"location": "1.30324,103.5498"
}
}
{
"app_version": 2,
"platform": "ios",
"session": {
"timestamp": "2014-08-21T00:00:00.000Z",
"session_id": "TOnNIhCNQ31LlkpEPQ7XnN1D",
"ip": "202.150.213.66",
"location": "1.30324,103.5498"
}
},
{
"app_version": 1,
"platform": "ios",
"session": {
"timestamp": "2014-08-21T00:00:00.000Z",
"session_id": "TOnNIhCNQ31LlkpEPQ7XnN1D",
"ip": "202.150.213.66",
"location": "1.30324,103.5498"
}
}
]
Upvotes: 1
Views: 106
Reputation: 1148
Put app_version first in your view:
emit([doc.app_version, date, doc.session.session_id], 1);
Then query with group_level=2
Upvotes: 1