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We have over 10,000 BIRT reports in our database and if someone has updated any of those or created a new adhoc report, then all those reports need to be reloaded in the screen report cache the next time someone goes to run a report on that JVM. This can take over 45 seconds for the report cache to be refreshed in a JVM. There should be a quicker way to refresh the cache instead of reloading all the reports.
The way it works now is once a report is add/changed, the next person on that JVM that goes to display the list of available reports has to wait while Maximo reloads every report back into the cache. This has to happen on every JVM (and we have 48) the next time a user runs a report and causes performance issues on the database also.
Couldn't this be solved by writing all the pending changes out to a separate table that each JVMs would pull from when a user goes to run the report? Then we wouldn't be reloading all the reports which would not only speed up the displaying of the list of reports to the user but also the hit on the database server.
Idea priority | High |
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Thank you for your suggestion. There are currently no plans to address this in the next several releases.
An alternative to creating another table would be to look at a change indicator and only upload records where the indicator suggests a change has occurred.
The rowstamp field is already there on the reportdesign table and is used to detect changes
So change the caching code so that it checks the rowstamp values in the relevant report table (reportdesign ?) against the rowstamp values in the cache.
Only upload the report if the rowstamp value has changed
If the rowstamp value is not in the cache then upload the report
this way will still incur a DB query but it is should be quicker to code/deliver.
If the changes to the caching code were generic enough then it could be used for other cached items e.g. Presentation XMLs