![]() High RAM usage is entirely normal, based Memory Limits defined in QMC. Active cache clearing is detrimental to performance. This way, users consume pre-calculated results from memory instead of computing the same results over and over. #Sos online backup knowledge base software#Qlik Data Analytics software (and by extent, your users) benefits from keeping data cached as long as possible. Q: Is there a simple way (better than restarting QS services)to clean the cache, because chache around 90 % slows down QS?Ī: It’s not quite as simple. There may be performance differences to the extent that QVW Documents and QVF Apps are completely different concepts. Q: Does QliKView Server perform similarly to Qlik Sense?Ī: It uses the same QIX Engine for data processing. A good starting point: set your Deleted Entity Log table cleanup settings to appropriate values, and avoid clean-up tasks kicking in before user morning rampup. Q: Similar to other database, do you think we need to perform finetuning, cleaning up bad records within PostgresQL, e.g.: once per year?Ī: Periodic cleanup, especially in a rapidly changing environment, is certainly recommended. If RAM consumption remains high but no other effects, your system is working as expected. Qlik Data Analytics software will allocate and use memory within the limits established and does not release this memory unless the Low Memory Limit has been reached and cache needs cleaning. We have done App optimazation, like delete duplicate app, remove old data, remove unused field.but RAM status still not good, what is next to fix the performace issue? Apply more nodes?Ī: Depends on what you mean by “RAM status still not good”. Q: Recently I'm facing Qlik Sense proxy servers RAM overload, although there are 4 nodes and each node it is 16 CPUs and 256G. Qlik Sense Shared Storage – Options and Requirements LogAnalysis App: The Qlik Sense app for troubleshooting Qlik Sense Enterprise on Windows logs #Sos online backup knowledge base how to#05:38 - Using iPerf to measure connectivityġ2:17 - Using Relog to visualize Performanceġ9:21 - Optimizing the Repository ServiceĢ7:40 - Q&A: How to evaluate an application?Ģ8:30 - Q&A: How to fix engine performance?Ģ9:25 - Q&A: What about PostgreSQL 9.6 EOL?ģ0:07 - Q&A: Troubleshooting performance on Azureģ1:22 - Q&A: Which nodes consume the most resources?ģ1:57 - Q&A: How to avoid working set breaches on engine nodes?ģ4:03 - Q&A: What do QRS log messages mean?ģ5:45 - Q&A: What about QlikView performance? ![]()
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