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renaissance-movie-lens_0
[2026-03-01T08:16:55.559Z] Running test renaissance-movie-lens_0 ...
[2026-03-01T08:16:55.559Z] ===============================================
[2026-03-01T08:16:55.559Z] renaissance-movie-lens_0 Start Time: Sun Mar 1 08:16:55 2026 Epoch Time (ms): 1772353015359
[2026-03-01T08:16:55.559Z] variation: NoOptions
[2026-03-01T08:16:55.559Z] JVM_OPTIONS:
[2026-03-01T08:16:55.559Z] { \
[2026-03-01T08:16:55.559Z] echo ""; echo "TEST SETUP:"; \
[2026-03-01T08:16:55.559Z] echo "Nothing to be done for setup."; \
[2026-03-01T08:16:55.559Z] mkdir -p "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17723530149071/renaissance-movie-lens_0"; \
[2026-03-01T08:16:55.559Z] cd "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17723530149071/renaissance-movie-lens_0"; \
[2026-03-01T08:16:55.559Z] echo ""; echo "TESTING:"; \
[2026-03-01T08:16:55.559Z] "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/jdkbinary/j2sdk-image/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 "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../../jvmtest/perf/renaissance/renaissance.jar" --json ""/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17723530149071/renaissance-movie-lens_0"/movie-lens.json" movie-lens; \
[2026-03-01T08:16:55.559Z] if [ $? -eq 0 ]; then echo "-----------------------------------"; echo "renaissance-movie-lens_0""_PASSED"; echo "-----------------------------------"; cd /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/..; rm -f -r "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17723530149071/renaissance-movie-lens_0"; else echo "-----------------------------------"; echo "renaissance-movie-lens_0""_FAILED"; echo "-----------------------------------"; fi; \
[2026-03-01T08:16:55.559Z] echo ""; echo "TEST TEARDOWN:"; \
[2026-03-01T08:16:55.559Z] echo "Nothing to be done for teardown."; \
[2026-03-01T08:16:55.559Z] } 2>&1 | tee -a "/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/../TKG/output_17723530149071/TestTargetResult";
[2026-03-01T08:16:55.559Z]
[2026-03-01T08:16:55.559Z] TEST SETUP:
[2026-03-01T08:16:55.559Z] Nothing to be done for setup.
[2026-03-01T08:16:55.559Z]
[2026-03-01T08:16:55.559Z] TESTING:
[2026-03-01T08:16:58.436Z] WARNING: A terminally deprecated method in sun.misc.Unsafe has been called
[2026-03-01T08:16:58.436Z] WARNING: sun.misc.Unsafe::objectFieldOffset has been called by scala.runtime.LazyVals$ (file:/home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/output_17723530149071/renaissance-movie-lens_0/launcher-081656-800680219598093007/renaissance-harness_3/lib/scala3-library_3-3.3.4.jar)
[2026-03-01T08:16:58.436Z] WARNING: Please consider reporting this to the maintainers of class scala.runtime.LazyVals$
[2026-03-01T08:16:58.436Z] WARNING: sun.misc.Unsafe::objectFieldOffset will be removed in a future release
[2026-03-01T08:17:21.326Z] NOTE: 'movie-lens' benchmark uses Spark local executor with 4 (out of 4) threads.
[2026-03-01T08:17:54.441Z] 08:17:50.195 WARN [dispatcher-event-loop-2] org.apache.spark.scheduler.TaskSetManager - Stage 8 contains a task of very large size (1401 KiB). The maximum recommended task size is 1000 KiB.
[2026-03-01T08:18:00.895Z] Got 100004 ratings from 671 users on 9066 movies.
[2026-03-01T08:18:03.100Z] Training: 60056, validation: 20285, test: 19854
[2026-03-01T08:18:03.100Z] ====== movie-lens (apache-spark) [default], iteration 0 started ======
[2026-03-01T08:18:03.417Z] GC before operation: completed in 623.022 ms, heap usage 399.434 MB -> 75.844 MB.
[2026-03-01T08:18:30.976Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-01T08:18:43.963Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-01T08:18:54.742Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-01T08:19:05.410Z] RMSE (validation) = 0.9919630846870685 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-01T08:19:12.581Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-01T08:19:19.734Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-01T08:19:25.535Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-01T08:19:32.676Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-01T08:19:32.676Z] 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.
[2026-03-01T08:19:32.676Z] The best model improves the baseline by 14.52%.
[2026-03-01T08:19:33.857Z] Top recommended movies for user id 72:
[2026-03-01T08:19:33.857Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-01T08:19:33.857Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-01T08:19:33.857Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-01T08:19:33.857Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-01T08:19:33.857Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-01T08:19:33.857Z] ====== movie-lens (apache-spark) [default], iteration 0 completed (90182.367 ms) ======
[2026-03-01T08:19:33.857Z] ====== movie-lens (apache-spark) [default], iteration 1 started ======
[2026-03-01T08:19:35.015Z] GC before operation: completed in 1304.879 ms, heap usage 559.881 MB -> 92.369 MB.
[2026-03-01T08:19:45.718Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-01T08:19:58.706Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-01T08:20:07.547Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-01T08:20:16.301Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-01T08:20:22.097Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-01T08:20:27.899Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-01T08:20:35.112Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-01T08:20:41.002Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-01T08:20:41.684Z] 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.
[2026-03-01T08:20:42.001Z] The best model improves the baseline by 14.52%.
[2026-03-01T08:20:42.681Z] Top recommended movies for user id 72:
[2026-03-01T08:20:42.681Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-01T08:20:42.681Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-01T08:20:42.681Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-01T08:20:42.681Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-01T08:20:42.681Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-01T08:20:42.681Z] ====== movie-lens (apache-spark) [default], iteration 1 completed (67686.978 ms) ======
[2026-03-01T08:20:42.681Z] ====== movie-lens (apache-spark) [default], iteration 2 started ======
[2026-03-01T08:20:43.805Z] GC before operation: completed in 882.523 ms, heap usage 125.334 MB -> 88.533 MB.
[2026-03-01T08:20:54.493Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-01T08:21:03.225Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-01T08:21:13.885Z] RMSE (validation) = 1.310518647704681 for the model trained with rank = 12, lambda = 1.0, and numIter = 20.
[2026-03-01T08:21:21.013Z] RMSE (validation) = 0.9919630846870686 for the model trained with rank = 8, lambda = 0.05, and numIter = 20.
[2026-03-01T08:21:26.790Z] RMSE (validation) = 1.2070175349451324 for the model trained with rank = 10, lambda = 0.01, and numIter = 10.
[2026-03-01T08:21:32.576Z] RMSE (validation) = 1.114680167277025 for the model trained with rank = 8, lambda = 0.02, and numIter = 10.
[2026-03-01T08:21:38.360Z] RMSE (validation) = 0.922741950338674 for the model trained with rank = 12, lambda = 0.1, and numIter = 10.
[2026-03-01T08:21:43.145Z] RMSE (validation) = 0.898064398059034 for the model trained with rank = 8, lambda = 0.2, and numIter = 10.
[2026-03-01T08:21:44.251Z] 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.
[2026-03-01T08:21:44.251Z] The best model improves the baseline by 14.52%.
[2026-03-01T08:21:44.934Z] Top recommended movies for user id 72:
[2026-03-01T08:21:44.934Z] 1: Land of Silence and Darkness (Land des Schweigens und der Dunkelheit) (1971) (rating: 4.659, id: 67504)
[2026-03-01T08:21:44.934Z] 2: Goat, The (1921) (rating: 4.659, id: 83318)
[2026-03-01T08:21:44.934Z] 3: Play House, The (1921) (rating: 4.659, id: 83359)
[2026-03-01T08:21:44.934Z] 4: Cops (1922) (rating: 4.659, id: 83411)
[2026-03-01T08:21:44.934Z] 5: Dear Frankie (2004) (rating: 4.267, id: 8530)
[2026-03-01T08:21:44.934Z] ====== movie-lens (apache-spark) [default], iteration 2 completed (61344.290 ms) ======
[2026-03-01T08:21:44.934Z] ====== movie-lens (apache-spark) [default], iteration 3 started ======
[2026-03-01T08:21:46.073Z] GC before operation: completed in 935.120 ms, heap usage 201.615 MB -> 89.514 MB.
[2026-03-01T08:21:54.859Z] RMSE (validation) = 3.621968954548761 for the model trained with rank = 8, lambda = 5.0, and numIter = 20.
[2026-03-01T08:22:03.660Z] RMSE (validation) = 2.1340923218923 for the model trained with rank = 10, lambda = 2.0, and numIter = 20.
[2026-03-01T08:22:09.462Z] #
[2026-03-01T08:22:09.462Z] # A fatal error has been detected by the Java Runtime Environment:
[2026-03-01T08:22:09.462Z] #
[2026-03-01T08:22:09.462Z] # SIGSEGV (0xb) at pc=0x0000003fd5f85aac, pid=1118279, tid=1118604
[2026-03-01T08:22:09.462Z] #
[2026-03-01T08:22:09.462Z] # JRE version: OpenJDK Runtime Environment (25.0.3+4) (build 25.0.3-beta+4-ea)
[2026-03-01T08:22:09.462Z] # Java VM: OpenJDK 64-Bit Server VM (25.0.3-beta+4-ea, mixed mode, sharing, tiered, compressed oops, compressed class ptrs, g1 gc, linux-riscv64)
[2026-03-01T08:22:09.462Z] # Problematic frame:
[2026-03-01T08:22:09.462Z] # V [libjvm.so+0x5fdaac] FreeListAllocator::allocate()+0x64
[2026-03-01T08:22:09.462Z] #
[2026-03-01T08:22:09.462Z] # Core dump will be written. Default location: Determined by the following: "/usr/share/apport/apport -p%p -s%s -c%c -d%d -P%P -u%u -g%g -- %E" (alternatively, falling back to /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/output_17723530149071/renaissance-movie-lens_0/core.1118279)
[2026-03-01T08:22:09.462Z] #
[2026-03-01T08:22:09.462Z] # An error report file with more information is saved as:
[2026-03-01T08:22:09.462Z] # /home/jenkins/workspace/Test_openjdk25_hs_extended.perf_riscv64_linux_rerun/aqa-tests/TKG/output_17723530149071/renaissance-movie-lens_0/hs_err_pid1118279.log
[2026-03-01T08:22:09.777Z] [thread 1118354 also had an error]
[2026-03-01T08:22:13.453Z] #
[2026-03-01T08:22:13.453Z] # If you would like to submit a bug report, please visit:
[2026-03-01T08:22:13.453Z] # file:///dev/null
[2026-03-01T08:22:13.453Z] #
[2026-03-01T08:22:15.667Z] Aborted (core dumped)
[2026-03-01T08:22:15.667Z] -----------------------------------
[2026-03-01T08:22:15.667Z] renaissance-movie-lens_0_FAILED
[2026-03-01T08:22:15.667Z] -----------------------------------
[2026-03-01T08:22:15.667Z]
[2026-03-01T08:22:15.667Z] TEST TEARDOWN:
[2026-03-01T08:22:15.667Z] Nothing to be done for teardown.
[2026-03-01T08:22:15.667Z] renaissance-movie-lens_0 Finish Time: Sun Mar 1 08:22:15 2026 Epoch Time (ms): 1772353335600