[MGNLPER-70] Physical memory usage is too high Created: 22/Nov/18  Updated: 18/Aug/21  Resolved: 18/Aug/21

Status: Closed
Project: Periscope
Component/s: None
Affects Version/s: None
Fix Version/s: None

Type: Bug Priority: Blocker
Reporter: Antti Hietala Assignee: Unassigned
Resolution: Obsolete Votes: 1
Labels: None
Remaining Estimate: Not Specified
Time Spent: Not Specified
Original Estimate: Not Specified

Attachments: PNG File image-2018-11-23-10-03-53-554.png     Text File stacktrace.txt    
Issue Links:
Relates
relates to MGNLPER-6 Research: Adapt neural network to cha... Closed
relates to MGNLPER-135 Long running searches cause performan... Closed
relation
supersession
is superseded by MGNLPER-143 Out of memory still occurring as of 6... Closed
Template:
Acceptance criteria:
Empty
Task DoD:
[ ]* Doc/release notes changes? Comment present?
[ ]* Downstream builds green?
[ ]* Solution information and context easily available?
[ ]* Tests
[ ]* FixVersion filled and not yet released
[ ]  Architecture Decision Record (ADR)
Bug DoR:
[ ]* Steps to reproduce, expected, and actual results filled
[ ]* Affected version filled
Date of First Response:

 Description   

Neural network runs out of memory when ranking Find Bar results.

Caused by: java.lang.OutOfMemoryError: Physical memory usage is too high: physicalBytes (3672M) > maxPhysicalBytes (3641M)Caused by: java.lang.OutOfMemoryError: Physical memory usage is too high: physicalBytes (3672M) > maxPhysicalBytes (3641M) 
...
info.magnolia.ml.rank.NeuralNetworkResultRanker.inputToArray(NeuralNetworkResultRanker.java:153) ~[periscope-result-ranker-1.0-SNAPSHOT.jar:?] at info.magnolia.ml.rank.NeuralNetworkResultRanker.trainRanking(NeuralNetworkResultRanker.java:108) ~[periscope-result-ranker-1.0-SNAPSHOT.jar:?]

To reproduce:

  • Install EE Pro demo bundle with CLI.
  • Open multiple apps. Run several Find Bar searches. 
  •  Not a reliable way to reproduce.

 


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