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  1. Error message from worker: org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.ExecutionError: java.lang.OutOfMemoryError: GC overhead limit exceeded
  2. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2048)
  3. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
  4. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4871)
  5. org.apache.beam.runners.dataflow.worker.UserParDoFnFactory.create(UserParDoFnFactory.java:95)
  6. org.apache.beam.runners.dataflow.worker.DefaultParDoFnFactory.create(DefaultParDoFnFactory.java:75)
  7. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.createParDoOperation(IntrinsicMapTaskExecutorFactory.java:267)
  8. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.access$000(IntrinsicMapTaskExecutorFactory.java:89)
  9. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:186)
  10. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:168)
  11. org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:66)
  12. org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:53)
  13. org.apache.beam.runners.dataflow.worker.graph.Networks.replaceDirectedNetworkNodes(Networks.java:90)
  14. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.create(IntrinsicMapTaskExecutorFactory.java:128)
  15. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1339)
  16. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1100(StreamingDataflowWorker.java:165)
  17. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$7.run(StreamingDataflowWorker.java:1113)
  18. java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
  19. java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
  20. java.base/java.lang.Thread.run(Thread.java:834)
  21. Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
  22. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.ExecutionError: java.lang.OutOfMemoryError: GC overhead limit exceeded
  23. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2048)
  24. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
  25. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4871)
  26. org.apache.beam.runners.dataflow.worker.UserParDoFnFactory.create(UserParDoFnFactory.java:95)
  27. org.apache.beam.runners.dataflow.worker.DefaultParDoFnFactory.create(DefaultParDoFnFactory.java:75)
  28. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.createParDoOperation(IntrinsicMapTaskExecutorFactory.java:267)
  29. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.access$000(IntrinsicMapTaskExecutorFactory.java:89)
  30. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:186)
  31. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:168)
  32. org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:66)
  33. org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:53)
  34. org.apache.beam.runners.dataflow.worker.graph.Networks.replaceDirectedNetworkNodes(Networks.java:90)
  35. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.create(IntrinsicMapTaskExecutorFactory.java:128)
  36. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1339)
  37. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1100(StreamingDataflowWorker.java:165)
  38. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$7.run(StreamingDataflowWorker.java:1113)
  39. java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
  40. java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
  41. java.base/java.lang.Thread.run(Thread.java:834)
  42. Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
  43. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.ExecutionError: java.lang.OutOfMemoryError: GC overhead limit exceeded
  44. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2048)
  45. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
  46. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4871)
  47. org.apache.beam.runners.dataflow.worker.UserParDoFnFactory.create(UserParDoFnFactory.java:95)
  48. org.apache.beam.runners.dataflow.worker.DefaultParDoFnFactory.create(DefaultParDoFnFactory.java:75)
  49. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.createParDoOperation(IntrinsicMapTaskExecutorFactory.java:267)
  50. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.access$000(IntrinsicMapTaskExecutorFactory.java:89)
  51. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:186)
  52. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:168)
  53. org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:66)
  54. org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:53)
  55. org.apache.beam.runners.dataflow.worker.graph.Networks.replaceDirectedNetworkNodes(Networks.java:90)
  56. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.create(IntrinsicMapTaskExecutorFactory.java:128)
  57. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1339)
  58. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1100(StreamingDataflowWorker.java:165)
  59. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$7.run(StreamingDataflowWorker.java:1113)
  60. java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
  61. java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
  62. java.base/java.lang.Thread.run(Thread.java:834)
  63. Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
  64. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.ExecutionError: java.lang.OutOfMemoryError: GC overhead limit exceeded
  65. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2048)
  66. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
  67. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4871)
  68. org.apache.beam.runners.dataflow.worker.UserParDoFnFactory.create(UserParDoFnFactory.java:95)
  69. org.apache.beam.runners.dataflow.worker.DefaultParDoFnFactory.create(DefaultParDoFnFactory.java:75)
  70. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.createParDoOperation(IntrinsicMapTaskExecutorFactory.java:267)
  71. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.access$000(IntrinsicMapTaskExecutorFactory.java:89)
  72. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:186)
  73. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory$1.typedApply(IntrinsicMapTaskExecutorFactory.java:168)
  74. org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:66)
  75. org.apache.beam.runners.dataflow.worker.graph.Networks$TypeSafeNodeFunction.apply(Networks.java:53)
  76. org.apache.beam.runners.dataflow.worker.graph.Networks.replaceDirectedNetworkNodes(Networks.java:90)
  77. org.apache.beam.runners.dataflow.worker.IntrinsicMapTaskExecutorFactory.create(IntrinsicMapTaskExecutorFactory.java:128)
  78. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1339)
  79. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1100(StreamingDataflowWorker.java:165)
  80. org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$7.run(StreamingDataflowWorker.java:1113)
  81. java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
  82. java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
  83. java.base/java.lang.Thread.run(Thread.java:834)
  84. Caused by: java.lang.OutOfMemoryError: GC overhead limit exceeded
  85. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.util.concurrent.ExecutionError: java.lang.OutOfMemoryError: GC overhead limit exceeded
  86. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$Segment.get(LocalCache.java:2048)
  87. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache.get(LocalCache.java:3952)
  88. org.apache.beam.vendor.guava.v26_0_jre.com.google.common.cache.LocalCache$LocalManualCache.get(LocalCache.java:4871)
  89. org.apac…
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