Hi,
Assume following row data set is persisted in DAS for stream definition of
eventId , userName, authSuccess .
1,user1,true
1,user1,true
2,user1,true
3,user2,true
3,user2,true
3,user2,true
4,user3,true
4,user3,true
5,user3,true
6,user3,true
I need to query above data set and get per user success count for a given
time period. Since we have duplicate event ids we need to group by eventid
first and then group by username.Assume above data range is for a specific
time period. Final result I need is below which has two fields username and
authSuccessCount.
user1 , 2
user2 , 1
user3 , 3
I can follow below type of query to group by using one field by making the
eventId a Facet.
{
tableName : "AUTHENTICATIONANALYTICSSTREAM",
groupByField:"eventId",
query : "timestamp:[" + startTimeStamp + " TO " +
endTimeStamp + "] AND authenticationSuccess:True",
NoOfRecords : 1000000,
aggregateFields : [
{
fieldName:"eventId",
aggregate:"COUNT",
alias:"AuthSuccess_Sum"
}
]
}
How can we have multiple grouping functionality to achieve above ?
Thanks,
Damith.
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