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BugFor errors / faults / flaws / inconsistencies etc.duplicateFor issues that already existed in our issue tracker and were reported previously.MajorIndicates the severity or impact or benefit of an issue is much higher than normal but not critical.
Running v2.0.2
Database is approx 10gb.
When I go to create a new segment using the page url filter, it takes an incredibly long time to pre-fill the url list (Avg 5-10mins), effectively locking the table, resulting in locked transactions for the live stats data that is coming in. We're getting on average 5 hit per second during peak times. We don't want to go over 500 max connections on our database, which we max every time i try to add a new segment. Is there a way to not have the segment editor query the table for the prefilled url list so i can just specify the url i want to use? Thanks!
Keywords: Segment Editor Large Database
The text was updated successfully, but these errors were encountered:
Agreed... or remove it completely. Typically people already know what url value is that they want to segment. It's no problem when working with small data, but we are huge and continue to grow, so this is a problem.
BugFor errors / faults / flaws / inconsistencies etc.duplicateFor issues that already existed in our issue tracker and were reported previously.MajorIndicates the severity or impact or benefit of an issue is much higher than normal but not critical.
Running v2.0.2
Database is approx 10gb.
When I go to create a new segment using the page url filter, it takes an incredibly long time to pre-fill the url list (Avg 5-10mins), effectively locking the table, resulting in locked transactions for the live stats data that is coming in. We're getting on average 5 hit per second during peak times. We don't want to go over 500 max connections on our database, which we max every time i try to add a new segment. Is there a way to not have the segment editor query the table for the prefilled url list so i can just specify the url i want to use? Thanks!
Keywords: Segment Editor Large Database
The text was updated successfully, but these errors were encountered: