Since the customer reporting this issue had two environments, one where the query ran quickly as expected, and a second environment where performance lagged, we compared both environments in order to identify differences between the two.
We discovered the main difference between the two was the logging settings. In this specific scenario, changing the logging level from DEBUG to INFOlog4j.logger.com.semarchy.mdm.datahub.services.query.datamgr.IDataManager=INFO so that both environments were in sync resolved the query performance issue.
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F
Fathia Jama
said
over 2 years ago
Answer
Since the customer reporting this issue had two environments, one where the query ran quickly as expected, and a second environment where performance lagged, we compared both environments in order to identify differences between the two.
We discovered the main difference between the two was the logging settings. In this specific scenario, changing the logging level from DEBUG to INFOlog4j.logger.com.semarchy.mdm.datahub.services.query.datamgr.IDataManager=INFO so that both environments were in sync resolved the query performance issue.
Fathia Jama
What factors cause slow Named Query performance?
We discovered the main difference between the two was the logging settings. In this specific scenario, changing the logging level from
DEBUG
toINFO
log4j.logger.com.semarchy.mdm.datahub.services.query.datamgr.IDataManager=INFO
so that both environments were in sync resolved the query performance issue.Fathia Jama
We discovered the main difference between the two was the logging settings. In this specific scenario, changing the logging level from
DEBUG
toINFO
log4j.logger.com.semarchy.mdm.datahub.services.query.datamgr.IDataManager=INFO
so that both environments were in sync resolved the query performance issue.-
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