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Hi,
I have built a connection ODBC connection Elastic search with QlikSense to fetch the data.
Multiple customers data of Firewall and we have each day 2-4 billion data for each customer in Elastic index.
SQL query in Qliksense to get the data but it is taking too much time 10-12 hours for data load in Qlik sense.
Is any other way i can work upon. Moreover I have used select statement with selected columns.
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Below is the example of query.
Select date, customer.name, customer.id, vendor.name, check.name, location, max(cpu),min(cpu),avg(cpu), max(mem),min(mem), avg(mem)
from
table_name
where customer.name IN ('123', '12323', .. ...,..) and (check.name LIKE *cpu* OR check.name LIKE *mem*)
group by date, customer.name, customer.id, vendor.name, check.name, location
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kindly suggest to get better output in minimum time of data load.
Hi,
Don't reload the query with aggregation. Below like this,
Do all transformation after store as QVD format.
And also implement incremental load based on date.
Refer this: https://community.qlik.com/t5/Design/Overview-of-Qlik-Incremental-Loading/ba-p/1466780