[2026-02-12T22:13:55.238Z] Running test renaissance-movie-lens_0 ... [2026-02-12T22:13:55.238Z] =============================================== [2026-02-12T22:13:55.238Z] renaissance-movie-lens_0 Start Time: Thu Feb 12 17:13:55 2026 Epoch Time (ms): 1770934435057 [2026-02-12T22:13:55.238Z] variation: NoOptions [2026-02-12T22:13:55.238Z] JVM_OPTIONS: [2026-02-12T22:13:55.238Z] { \ [2026-02-12T22:13:55.238Z] echo ""; echo "TEST SETUP:"; \ [2026-02-12T22:13:55.238Z] echo "Nothing to be done for setup."; \ [2026-02-12T22:13:55.238Z] mkdir -p "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17709341028081/renaissance-movie-lens_0"; \ [2026-02-12T22:13:55.238Z] cd "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17709341028081/renaissance-movie-lens_0"; \ [2026-02-12T22:13:55.238Z] echo ""; echo "TESTING:"; \ [2026-02-12T22:13:55.239Z] "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/jdkbinary/j2sdk-image/Contents/Home/bin/..//bin/java" --add-opens java.base/java.lang=ALL-UNNAMED --add-opens java.base/java.util=ALL-UNNAMED --add-opens java.base/java.util.concurrent=ALL-UNNAMED --add-opens java.base/java.nio=ALL-UNNAMED --add-opens java.base/sun.nio.ch=ALL-UNNAMED --add-opens java.base/java.lang.invoke=ALL-UNNAMED -jar "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17709341028081/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \ [2026-02-12T22:13:55.239Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/..; rm -f -r "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17709341028081/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \ [2026-02-12T22:13:55.239Z] echo ""; echo "TEST TEARDOWN:"; \ [2026-02-12T22:13:55.239Z] echo "Nothing to be done for teardown."; \ [2026-02-12T22:13:55.239Z] } 2>&1 | tee -a "/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/../TKG/output_17709341028081/TestTargetResult"; [2026-02-12T22:13:55.239Z] [2026-02-12T22:13:55.239Z] TEST SETUP: [2026-02-12T22:13:55.239Z] Nothing to be done for setup. [2026-02-12T22:13:55.239Z] [2026-02-12T22:13:55.239Z] TESTING: [2026-02-12T22:13:55.588Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called [2026-02-12T22:13:55.588Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/Users/admin/workspace/workspace/Test_openjdk25_hs_extended.perf_aarch64_mac/aqa-tests/TKG/output_17709341028081/renaissance-movie-lens_0/launcher-171355-12263393173283554775/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar) [2026-02-12T22:13:55.588Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$ [2026-02-12T22:13:55.588Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release [2026-02-12T22:13:58.734Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads. [2026-02-12T22:14:01.869Z] 17:14:01.640 WARN [dispatcher-event-loop-1] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB. [2026-02-12T22:14:03.197Z] Got 100004 ratings from 671 users on 9066 movies. [2026-02-12T22:14:03.197Z] Training: 60056, validation: 20285, test: 19854 [2026-02-12T22:14:03.197Z] ====== movie-lens (apache-spark) [default], iteration 0 started ====== [2026-02-12T22:14:03.197Z] GC before operation: completed in 79.298 ms, heap usage 206.786 MB -> 75.789 MB. [2026-02-12T22:14:06.368Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:14:08.743Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:14:10.527Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:14:12.294Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:14:13.520Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:14:14.296Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:14:15.556Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:14:16.346Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:14:16.346Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:14:16.346Z] The best model improves the baseline by 14.52%. [2026-02-12T22:14:16.709Z] Top recommended movies for user id 72: [2026-02-12T22:14:16.709Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:14:16.709Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:14:16.709Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:14:16.709Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:14:16.709Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:14:16.709Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (13381.322 ms) ====== [2026-02-12T22:14:16.709Z] ====== movie-lens (apache-spark) [default], iteration 1 started ====== [2026-02-12T22:14:16.709Z] GC before operation: completed in 72.610 ms, heap usage 104.568 MB -> 86.365 MB. [2026-02-12T22:14:18.485Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:14:19.723Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:14:21.489Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:14:23.250Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:14:24.016Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:14:25.257Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:14:26.506Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:14:27.262Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:14:27.262Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:14:27.262Z] The best model improves the baseline by 14.52%. [2026-02-12T22:14:27.614Z] Top recommended movies for user id 72: [2026-02-12T22:14:27.614Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:14:27.614Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:14:27.614Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:14:27.614Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:14:27.614Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:14:27.614Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (10786.766 ms) ====== [2026-02-12T22:14:27.614Z] ====== movie-lens (apache-spark) [default], iteration 2 started ====== [2026-02-12T22:14:27.614Z] GC before operation: completed in 64.806 ms, heap usage 427.877 MB -> 88.752 MB. [2026-02-12T22:14:28.873Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:14:30.640Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:14:32.400Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:14:34.176Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:14:34.944Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:14:35.719Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:14:36.498Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:14:37.737Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:14:37.737Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:14:37.737Z] The best model improves the baseline by 14.52%. [2026-02-12T22:14:37.737Z] Top recommended movies for user id 72: [2026-02-12T22:14:37.737Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:14:37.737Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:14:37.737Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:14:37.737Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:14:37.737Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:14:37.737Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (10377.808 ms) ====== [2026-02-12T22:14:37.737Z] ====== movie-lens (apache-spark) [default], iteration 3 started ====== [2026-02-12T22:14:38.088Z] GC before operation: completed in 61.273 ms, heap usage 305.952 MB -> 89.505 MB. [2026-02-12T22:14:39.309Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:14:41.081Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:14:42.864Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:14:44.085Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:14:44.846Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:14:46.060Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:14:46.831Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:14:47.622Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:14:47.983Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:14:47.983Z] The best model improves the baseline by 14.52%. [2026-02-12T22:14:47.983Z] Top recommended movies for user id 72: [2026-02-12T22:14:47.983Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:14:47.983Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:14:47.983Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:14:47.983Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:14:47.983Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:14:47.983Z] ====== movie-lens (apache-spark) [default], iteration 3 completed (9986.887 ms) ====== [2026-02-12T22:14:47.983Z] ====== movie-lens (apache-spark) [default], iteration 4 started ====== [2026-02-12T22:14:47.983Z] GC before operation: completed in 74.799 ms, heap usage 190.015 MB -> 89.577 MB. [2026-02-12T22:14:49.802Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:14:51.023Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:14:52.779Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:14:54.004Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:14:54.763Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:14:55.526Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:14:56.767Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:14:57.527Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:14:57.527Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:14:57.527Z] The best model improves the baseline by 14.52%. [2026-02-12T22:14:57.527Z] Top recommended movies for user id 72: [2026-02-12T22:14:57.527Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:14:57.527Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:14:57.527Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:14:57.527Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:14:57.527Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:14:57.527Z] ====== movie-lens (apache-spark) [default], iteration 4 completed (9629.812 ms) ====== [2026-02-12T22:14:57.527Z] ====== movie-lens (apache-spark) [default], iteration 5 started ====== [2026-02-12T22:14:57.527Z] GC before operation: completed in 54.710 ms, heap usage 198.814 MB -> 89.470 MB. [2026-02-12T22:14:59.372Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:15:00.606Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:15:02.404Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:15:03.649Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:15:04.888Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:15:05.644Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:15:06.412Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:15:07.196Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:15:07.570Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:15:07.570Z] The best model improves the baseline by 14.52%. [2026-02-12T22:15:07.570Z] Top recommended movies for user id 72: [2026-02-12T22:15:07.570Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:15:07.570Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:15:07.570Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:15:07.570Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:15:07.570Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:15:07.570Z] ====== movie-lens (apache-spark) [default], iteration 5 completed (9806.501 ms) ====== [2026-02-12T22:15:07.570Z] ====== movie-lens (apache-spark) [default], iteration 6 started ====== [2026-02-12T22:15:07.570Z] GC before operation: completed in 75.217 ms, heap usage 614.904 MB -> 93.621 MB. [2026-02-12T22:15:09.354Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:15:10.577Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:15:12.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:15:13.568Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:15:14.784Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:15:15.543Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:15:16.773Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:15:17.545Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:15:17.914Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:15:17.914Z] The best model improves the baseline by 14.52%. [2026-02-12T22:15:17.914Z] Top recommended movies for user id 72: [2026-02-12T22:15:17.914Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:15:17.914Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:15:17.914Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:15:17.914Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:15:17.914Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:15:17.914Z] ====== movie-lens (apache-spark) [default], iteration 6 completed (10351.725 ms) ====== [2026-02-12T22:15:17.914Z] ====== movie-lens (apache-spark) [default], iteration 7 started ====== [2026-02-12T22:15:17.914Z] GC before operation: completed in 64.698 ms, heap usage 384.512 MB -> 90.061 MB. [2026-02-12T22:15:19.684Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:15:20.924Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:15:22.689Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:15:24.456Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:15:25.226Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:15:26.002Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:15:27.235Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:15:28.003Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:15:28.367Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:15:28.367Z] The best model improves the baseline by 14.52%. [2026-02-12T22:15:28.367Z] Top recommended movies for user id 72: [2026-02-12T22:15:28.367Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:15:28.367Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:15:28.367Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:15:28.367Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:15:28.367Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:15:28.367Z] ====== movie-lens (apache-spark) [default], iteration 7 completed (10413.111 ms) ====== [2026-02-12T22:15:28.367Z] ====== movie-lens (apache-spark) [default], iteration 8 started ====== [2026-02-12T22:15:28.367Z] GC before operation: completed in 68.080 ms, heap usage 181.953 MB -> 90.000 MB. [2026-02-12T22:15:30.128Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:15:31.907Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:15:33.138Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:15:34.891Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:15:35.703Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:15:36.951Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:15:37.747Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:15:38.524Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:15:38.524Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:15:38.524Z] The best model improves the baseline by 14.52%. [2026-02-12T22:15:38.524Z] Top recommended movies for user id 72: [2026-02-12T22:15:38.524Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:15:38.524Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:15:38.524Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:15:38.524Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:15:38.524Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:15:38.524Z] ====== movie-lens (apache-spark) [default], iteration 8 completed (10166.342 ms) ====== [2026-02-12T22:15:38.524Z] ====== movie-lens (apache-spark) [default], iteration 9 started ====== [2026-02-12T22:15:38.875Z] GC before operation: completed in 68.301 ms, heap usage 379.329 MB -> 90.205 MB. [2026-02-12T22:15:40.109Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:15:41.885Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:15:43.111Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:15:44.878Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:15:46.120Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:15:46.881Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:15:47.645Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:15:48.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:15:48.781Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:15:48.781Z] The best model improves the baseline by 14.52%. [2026-02-12T22:15:48.781Z] Top recommended movies for user id 72: [2026-02-12T22:15:48.781Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:15:48.781Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:15:48.781Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:15:48.781Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:15:48.781Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:15:48.781Z] ====== movie-lens (apache-spark) [default], iteration 9 completed (10077.165 ms) ====== [2026-02-12T22:15:48.781Z] ====== movie-lens (apache-spark) [default], iteration 10 started ====== [2026-02-12T22:15:48.781Z] GC before operation: completed in 64.831 ms, heap usage 95.938 MB -> 90.430 MB. [2026-02-12T22:15:50.553Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:15:51.776Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:15:53.546Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:15:54.772Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:15:55.528Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:15:56.289Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:15:57.570Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:15:58.343Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:15:58.343Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:15:58.343Z] The best model improves the baseline by 14.52%. [2026-02-12T22:15:58.343Z] Top recommended movies for user id 72: [2026-02-12T22:15:58.343Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:15:58.343Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:15:58.343Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:15:58.343Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:15:58.343Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:15:58.343Z] ====== movie-lens (apache-spark) [default], iteration 10 completed (9550.607 ms) ====== [2026-02-12T22:15:58.343Z] ====== movie-lens (apache-spark) [default], iteration 11 started ====== [2026-02-12T22:15:58.343Z] GC before operation: completed in 70.180 ms, heap usage 253.132 MB -> 89.906 MB. [2026-02-12T22:16:00.119Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:16:01.381Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:16:03.160Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:16:04.392Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:16:05.649Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:16:06.436Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:16:07.196Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:16:07.965Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:16:07.965Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:16:07.965Z] The best model improves the baseline by 14.52%. [2026-02-12T22:16:07.965Z] Top recommended movies for user id 72: [2026-02-12T22:16:07.965Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:16:07.965Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:16:07.965Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:16:07.965Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:16:07.965Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:16:07.965Z] ====== movie-lens (apache-spark) [default], iteration 11 completed (9635.147 ms) ====== [2026-02-12T22:16:07.965Z] ====== movie-lens (apache-spark) [default], iteration 12 started ====== [2026-02-12T22:16:08.321Z] GC before operation: completed in 68.417 ms, heap usage 253.863 MB -> 90.098 MB. [2026-02-12T22:16:09.547Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:16:10.791Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:16:12.090Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:16:13.325Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:16:14.081Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:16:14.858Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:16:15.631Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:16:16.419Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:16:16.780Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:16:16.780Z] The best model improves the baseline by 14.52%. [2026-02-12T22:16:16.780Z] Top recommended movies for user id 72: [2026-02-12T22:16:16.780Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:16:16.780Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:16:16.780Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:16:16.780Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:16:16.780Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:16:16.780Z] ====== movie-lens (apache-spark) [default], iteration 12 completed (8614.135 ms) ====== [2026-02-12T22:16:16.780Z] ====== movie-lens (apache-spark) [default], iteration 13 started ====== [2026-02-12T22:16:16.780Z] GC before operation: completed in 68.490 ms, heap usage 492.320 MB -> 90.555 MB. [2026-02-12T22:16:18.556Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:16:19.801Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:16:21.575Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:16:22.791Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:16:23.563Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:16:24.323Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:16:25.562Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:16:25.931Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:16:26.290Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:16:26.290Z] The best model improves the baseline by 14.52%. [2026-02-12T22:16:26.290Z] Top recommended movies for user id 72: [2026-02-12T22:16:26.290Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:16:26.290Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:16:26.290Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:16:26.290Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:16:26.290Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:16:26.290Z] ====== movie-lens (apache-spark) [default], iteration 13 completed (9366.266 ms) ====== [2026-02-12T22:16:26.290Z] ====== movie-lens (apache-spark) [default], iteration 14 started ====== [2026-02-12T22:16:26.290Z] GC before operation: completed in 59.374 ms, heap usage 199.436 MB -> 89.988 MB. [2026-02-12T22:16:27.531Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:16:28.836Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:16:30.627Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:16:31.876Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:16:32.657Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:16:33.432Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:16:34.195Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:16:35.435Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:16:35.435Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:16:35.435Z] The best model improves the baseline by 14.52%. [2026-02-12T22:16:35.435Z] Top recommended movies for user id 72: [2026-02-12T22:16:35.435Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:16:35.435Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:16:35.435Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:16:35.435Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:16:35.435Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:16:35.435Z] ====== movie-lens (apache-spark) [default], iteration 14 completed (9137.509 ms) ====== [2026-02-12T22:16:35.435Z] ====== movie-lens (apache-spark) [default], iteration 15 started ====== [2026-02-12T22:16:35.435Z] GC before operation: completed in 68.301 ms, heap usage 373.509 MB -> 90.466 MB. [2026-02-12T22:16:37.209Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:16:38.445Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:16:40.258Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:16:41.508Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:16:42.280Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:16:43.036Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:16:44.306Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:16:45.083Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:16:45.083Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:16:45.083Z] The best model improves the baseline by 14.52%. [2026-02-12T22:16:45.083Z] Top recommended movies for user id 72: [2026-02-12T22:16:45.083Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:16:45.083Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:16:45.083Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:16:45.083Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:16:45.083Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:16:45.083Z] ====== movie-lens (apache-spark) [default], iteration 15 completed (9641.869 ms) ====== [2026-02-12T22:16:45.084Z] ====== movie-lens (apache-spark) [default], iteration 16 started ====== [2026-02-12T22:16:45.084Z] GC before operation: completed in 65.172 ms, heap usage 161.686 MB -> 90.061 MB. [2026-02-12T22:16:46.874Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:16:48.101Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:16:49.327Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20. [2026-02-12T22:16:50.559Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20. [2026-02-12T22:16:51.329Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10. [2026-02-12T22:16:52.583Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10. [2026-02-12T22:16:53.812Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10. [2026-02-12T22:16:54.573Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10. [2026-02-12T22:16:54.574Z] The best model was trained with rank = 8 and lambda = 0.2, and numIter = 10, and its RMSE on the test set is 0.9063252168319611. [2026-02-12T22:16:54.574Z] The best model improves the baseline by 14.52%. [2026-02-12T22:16:54.574Z] Top recommended movies for user id 72: [2026-02-12T22:16:54.574Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504) [2026-02-12T22:16:54.574Z] 2: Goat, The (1921) (rating: 4.659, id: 83318) [2026-02-12T22:16:54.574Z] 3: Play House, The (1921) (rating: 4.659, id: 83359) [2026-02-12T22:16:54.574Z] 4: Cops (1922) (rating: 4.659, id: 83411) [2026-02-12T22:16:54.574Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530) [2026-02-12T22:16:54.574Z] ====== movie-lens (apache-spark) [default], iteration 16 completed (9468.532 ms) ====== [2026-02-12T22:16:54.574Z] ====== movie-lens (apache-spark) [default], iteration 17 started ====== [2026-02-12T22:16:54.574Z] GC before operation: completed in 60.421 ms, heap usage 512.173 MB -> 90.579 MB. [2026-02-12T22:16:56.342Z] RMSE (validation) = 3.6219689545487617 for the model trained with rank = 8, lambda = 5.0, and numIter = 20. [2026-02-12T22:16:57.598Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20. [2026-02-12T22:17:16.836Z] test-orka-macos14-arm64-oes6t seems to be removed or offline (hudson.remoting.RequestAbortedException: java.io.IOException: Unexpected termination of the channel); will wait for 5 min 0 sec for it to come back online [2026-02-12T22:22:22.846Z] test-orka-macos14-arm64-oes6t has been removed or offline for 5 min 0 sec; assuming it is not coming back, and terminating shell step [Pipeline] sh [Pipeline] } [2026-02-12T22:22:22.868Z] ERROR: Issue with creating launcher for agent test-orka-macos14-arm64-oes6t. The agent has not been fully initialized yet [Pipeline] // sshagent [Pipeline] } [Pipeline] // stage [Pipeline] stage [Pipeline] { (Post) [Pipeline] echo [2026-02-12T22:22:22.961Z] Saving aqa-tests/testenv/testenv.properties file on jenkins. [Pipeline] archiveArtifacts [Pipeline] } [Pipeline] // stage [Pipeline] echo [2026-02-12T22:22:23.000Z] PROCESSCATCH: Terminating any hung/left over test processes: [Pipeline] sh [Pipeline] } [Pipeline] // timeout [Pipeline] echo [2026-02-12T22:22:23.039Z] Exception: org.jenkinsci.plugins.workflow.support.steps.AgentOfflineException: Unable to create live FilePath for test-orka-macos14-arm64-oes6t; test-orka-macos14-arm64-oes6t was marked offline: Connection was broken [Pipeline] timeout [2026-02-12T22:22:23.042Z] Timeout set to expire in 5 min 0 sec [Pipeline] { [Pipeline] echo [2026-02-12T22:22:23.061Z] Test_openjdk25_hs_extended.perf_aarch64_mac #49 result is FAILURE. Checking console log for specific errors... [Pipeline] } [Pipeline] // timeout [Pipeline] } [Pipeline] // node [Pipeline] } [Pipeline] // stage [Pipeline] } [Pipeline] // timestamps [Pipeline] End of Pipeline Finished: FAILURE