Python h2o generates Error: Caught exception: java.lang.NullPointerException
Question
Here is my code:
import pandas as pd
import h2o
h2o.init(nthreads = 5)
my_df = pd.DataFrame({'col1':[12,3,4,5,45,6,45,7,4,2],
'col2': [12,3,1,23,43,1,3,12,32,1],
'y':[0,1,1,0,1,0,1,1,0,0]})
my_df_h2o = h2o.H2OFrame(my_df)
aml = h2o.automl.H2OAutoML(max_runtime_secs=30, seed=123)
aml.train(x=['col1', 'col2'], y='y', training_frame=my_df_h2o)
it returns:
Traceback (most recent call last):
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 3441, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-9-031544adf3aa>", line 1, in <module>
aml.train(x=['col1', 'col2'], y='y', training_frame=my_df_h2o)
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\h2o\automl\autoh2o.py", line 557, in train
resp = self._build_resp = h2o.api('POST /99/AutoMLBuilder', json=automl_build_params)
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\h2o\h2o.py", line 113, in api
return h2oconn.request(endpoint, data=data, json=json, filename=filename, save_to=save_to)
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\h2o\backend\connection.py", line 481, in request
return self._process_response(resp, save_to)
File "D:\user_data\Program_Files\Anaconda3\envs\tensorflow\lib\site-packages\h2o\backend\connection.py", line 823, in _process_response
raise H2OServerError("HTTP %d %s:\n%s" % (status_code, response.reason, data))
h2o.exceptions.H2OServerError: HTTP 500 Server Error:
Server error java.lang.NullPointerException:
Error: Caught exception: java.lang.NullPointerException
Request: None
The h2o server seems to be running just fine. I am not sure how to troubleshoot.
UPDATE
As per suggestion below here are the log (available from web gui). This only partial log file as full log did not fit:
08-31 10:50:23.742 127.0.0.1:54321 20836 main INFO water.default: H2O started in 5837ms
08-31 10:50:23.742 127.0.0.1:54321 20836 main INFO water.default:
08-31 10:50:23.743 127.0.0.1:54321 20836 main INFO water.default: Open H2O Flow in your web browser: http://127.0.0.1:54321
08-31 10:50:23.743 127.0.0.1:54321 20836 main INFO water.default:
08-31 10:50:23.820 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/Metadata/schemas/CloudV3, parms: {}
08-31 10:50:23.847 127.0.0.1:54321 20836 0228826-17 INFO water.default: Locking cloud to new members, because water.api.schemas3.MetadataV3
08-31 10:50:23.984 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /3/Metadata/schemas/H2OErrorV3, parms: {}
08-31 10:50:23.995 127.0.0.1:54321 20836 0228826-13 INFO water.default: GET /3/Metadata/schemas/H2OModelBuilderErrorV3, parms: {}
08-31 10:50:24.042 127.0.0.1:54321 20836 0228826-11 INFO water.default: POST /4/sessions, parms: {}
08-31 10:50:24.055 127.0.0.1:54321 20836 0228826-17 INFO water.default: POST /99/Rapids, parms: {ast=(setTimeZone "UTC"), session_id=_sid_9a7a}
08-31 10:50:24.468 127.0.0.1:54321 20836 0228826-15 INFO water.default: GET /3/Capabilities/API, parms: {}
08-31 10:50:37.122 127.0.0.1:54321 20836 ice Thread WARN water.default: Unblock allocations; cache below desired, but also OOM: GC CALLBACK, (K/V:Zero + POJO:198.8 MB + FREE:48.7 MB == MEM_MAX:247.5 MB), desiredKV=30.9 MB OOM!
08-31 10:56:12.695 127.0.0.1:54321 20836 0228826-10 INFO water.default: GET /3/Metadata/schemas/CloudV3, parms: {}
08-31 10:56:14.752 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /3/Metadata/schemas/H2OErrorV3, parms: {}
08-31 10:56:16.800 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/Metadata/schemas/H2OModelBuilderErrorV3, parms: {}
08-31 10:56:20.892 127.0.0.1:54321 20836 0228826-11 INFO water.default: POST /4/sessions, parms: {}
08-31 10:56:21.171 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /flow/index.html, parms: {}
08-31 10:56:21.730 127.0.0.1:54321 20836 0228826-25 INFO water.default: GET /flow/fonts/Lato-Regular.woff2, parms: {}
08-31 10:56:21.735 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /flow/fonts/fa-solid-900.woff2, parms: {}
08-31 10:56:21.736 127.0.0.1:54321 20836 0228826-15 INFO water.default: GET /flow/fonts/SourceCodePro-Regular.ttf.woff2, parms: {}
08-31 10:56:22.428 127.0.0.1:54321 20836 0228826-25 INFO water.default: GET /3/Metadata/endpoints, parms: {}
08-31 10:56:22.761 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /3/NodePersistentStorage/notebook, parms: {}
08-31 10:56:22.783 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/NodePersistentStorage/categories/environment/names/clips/exists, parms: {}
08-31 10:56:22.787 127.0.0.1:54321 20836 0228826-25 INFO water.default: GET /flow/help/catalog.json, parms: {}
08-31 10:56:22.798 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/About, parms: {}
08-31 10:56:22.804 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /3/ModelBuilders, parms: {}
08-31 10:56:22.938 127.0.0.1:54321 20836 0228826-11 INFO water.default: POST /99/Rapids, parms: {ast=(setTimeZone "UTC"), session_id=_sid_9257}
08-31 10:56:23.041 127.0.0.1:54321 20836 0228826-15 INFO water.default: GET /flow/fonts/fa-regular-400.woff2, parms: {}
08-31 10:56:23.059 127.0.0.1:54321 20836 0228826-12 INFO water.default: GET /flow/fonts/Lato-Italic.woff2, parms: {}
08-31 10:56:27.015 127.0.0.1:54321 20836 0228826-17 INFO water.default: GET /3/Capabilities/API, parms: {}
08-31 10:57:06.289 127.0.0.1:54321 20836 0228826-15 INFO water.default: Reading byte InputStream into Frame:
08-31 10:57:06.290 127.0.0.1:54321 20836 0228826-15 INFO water.default: frameKey: upload_891ff2a7def056d5c12dba0cc8e04532
08-31 10:57:06.308 127.0.0.1:54321 20836 0228826-15 INFO water.default: totalChunks: 1
08-31 10:57:06.308 127.0.0.1:54321 20836 0228826-15 INFO water.default: totalBytes: 108
08-31 10:57:06.316 127.0.0.1:54321 20836 0228826-15 INFO water.default: Success.
08-31 10:57:08.370 127.0.0.1:54321 20836 0228826-11 INFO water.default: POST /3/ParseSetup, parms: {single_quotes=False, source_frames=["upload_891ff2a7def056d5c12dba0cc8e04532"], check_header=1, separator=44}
08-31 10:57:10.584 127.0.0.1:54321 20836 0228826-17 INFO water.default: POST /3/Parse, parms: {number_columns=3, source_frames=["upload_891ff2a7def056d5c12dba0cc8e04532"], column_types=["Numeric","Numeric","Numeric"], single_quotes=False, parse_type=CSV, destination_frame=Key_Frame__upload_891ff2a7def056d5c12dba0cc8e04532.hex, column_names=["col1","col2","y"], delete_on_done=True, check_header=1, separator=44, blocking=False, escapechar=0, chunk_size=4194304}
08-31 10:57:10.586 127.0.0.1:54321 20836 0228826-17 INFO water.default: Total file size: 108 B
08-31 10:57:10.587 127.0.0.1:54321 20836 0228826-17 INFO water.default: Parse chunk size 4194304
08-31 10:57:10.610 127.0.0.1:54321 20836 FJ-2-15 INFO water.default: Key upload_891ff2a7def056d5c12dba0cc8e04532 will be parsed using method DistributedParse.
08-31 10:57:10.640 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Parse result for Key_Frame__upload_891ff2a7def056d5c12dba0cc8e04532.hex (10 rows, 3 columns):
08-31 10:57:10.648 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: ColV2 type min max mean sigma NAs constant cardinality
08-31 10:57:10.649 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: col1: numeric 2.00000 45.0000 13.3000 16.9316
08-31 10:57:10.649 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: col2: numeric 1.00000 43.0000 13.1000 14.8881
08-31 10:57:10.649 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: y: numeric 0.00000 1.00000 0.500000 0.527046
08-31 10:57:10.658 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Chunk compression summary:
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Chunk Type Chunk Name Count Count Percentage Size Size Percentage
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: CBS Binary 1 33.333 % 72 B 31.579 %
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: C1N 1-Byte Integers (w/o NAs) 2 66.667 % 156 B 68.421 %
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Frame distribution summary:
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: Size Number of Rows Number of Chunks per Column Number of Chunks
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: 127.0.0.1:54321 228 B 10 1 3
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: mean 228 B 10.000000 1.000000 3.000000
08-31 10:57:10.659 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: min 228 B 10.000000 1.000000 3.000000
08-31 10:57:10.660 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: max 228 B 10.000000 1.000000 3.000000
08-31 10:57:10.660 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: stddev 0 B 0.000000 0.000000 0.000000
08-31 10:57:10.660 127.0.0.1:54321 20836 FJ-1-15 INFO water.default: total 228 B 10 1 3
08-31 10:57:14.722 127.0.0.1:54321 20836 0228826-15 INFO water.default: GET /3/Frames/Key_Frame__upload_891ff2a7def056d5c12dba0cc8e04532.hex, parms: {column_offset=0, full_column_count=-1, row_count=10, row_offset=0, column_count=-1}
08-31 10:57:19.923 127.0.0.1:54321 20836 0228826-11 INFO water.default: GET /3/Metadata/schemas/AutoMLV99, parms: {}
08-31 10:57:26.195 127.0.0.1:54321 20836 0228826-17 INFO water.default: POST /99/AutoMLBuilder, parms: {}
08-31 10:57:26.221 127.0.0.1:54321 20836 0228826-17 INFO water.default: Workflow: Project: AutoML_1_20220831_105726
08-31 10:57:26.226 127.0.0.1:54321 20836 0228826-17 INFO water.default: Validation: Setting stopping tolerance adaptively based on the training frame: 0.05
08-31 10:57:26.226 127.0.0.1:54321 20836 0228826-17 INFO water.default: Validation: Build control seed: 123
08-31 10:57:26.226 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: training frame: Frame key: AutoML_1_20220831_105726_training_Key_Frame__upload_891ff2a7def056d5c12dba0cc8e04532.hex cols: 3 rows: 10 chunks: 1 size: 228 checksum: -2705803362319216029
08-31 10:57:26.226 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: validation frame: NULL
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: leaderboard frame: NULL
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: blending frame: NULL
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: response column: y
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: fold column: null
08-31 10:57:26.227 127.0.0.1:54321 20836 0228826-17 INFO water.default: DataImport: weights column: null
08-31 10:57:26.234 127.0.0.1:54321 20836 0228826-17 WARN water.default: Workflow: AutoML: XGBoost is not available; skipping it.
08-31 10:57:26.234 127.0.0.1:54321 20836 0228826-17 INFO water.default: Workflow: Loading execution steps: [{XGBoost : [def_2 (1g, 10w), def_1 (2g, 10w), def_3 (3g, 10w), grid_1 (4g, 90w), lr_search (6g, 30w)]}, {GLM : [def_1 (1g, 10w)]}, {DRF : [def_1 (2g, 10w), XRT (3g, 10w)]}, {GBM : [def_5 (1g, 10w), def_2 (2g, 10w), def_3 (2g, 10w), def_4 (2g, 10w), def_1 (3g, 10w), grid_1 (4g, 60w), lr_annealing (6g, 10w)]}, {DeepLearning : [def_1 (3g, 10w), grid_1 (4g, 30w), grid_2 (5g, 30w), grid_3 (5g, 30w)]}, {completion : [resume_best_grids (10g, 60w)]}, {StackedEnsemble : [best_of_family_1 (1g, 5w), best_of_family_2 (2g, 5w), best_of_family_3 (3g, 5w), best_of_family_4 (4g, 5w), best_of_family_5 (5g, 5w), all_2 (2g, 10w), all_3 (3g, 10w), all_4 (4g, 10w), all_5 (5g, 10w), monotonic (6g, 10w), best_of_family_xgboost (6g, 10w), best_of_family_gbm (6g, 10w), all_xgboost (7g, 10w), all_gbm (7g, 10w), best_of_family_xglm (8g, 10w), all_xglm (8g, 10w), best_of_family (10g, 10w), best_N (10g, 10w)]}]
08-31 10:57:26.235 127.0.0.1:54321 20836 0228826-17 ERROR water.default:
java.lang.NullPointerException: null
at water.nbhm.NonBlockingHashMap.putIfMatch(NonBlockingHashMap.java:369) ~[h2o.jar:?]
at water.nbhm.NonBlockingHashMap.put(NonBlockingHashMap.java:320) ~[h2o.jar:?]
at ai.h2o.automl.AutoMLSession.getModelingSteps(AutoMLSession.java:76) ~[h2o.jar:?]
at ai.h2o.automl.ModelingStepsRegistry.getOrderedSteps(ModelingStepsRegistry.java:54) ~[h2o.jar:?]
at ai.h2o.automl.AutoML.getExecutionPlan(AutoML.java:330) ~[h2o.jar:?]
at ai.h2o.automl.AutoML.planWork(AutoML.java:359) ~[h2o.jar:?]
at ai.h2o.automl.AutoML.submit(AutoML.java:395) ~[h2o.jar:?]
at ai.h2o.automl.AutoML.startAutoML(AutoML.java:80) ~[h2o.jar:?]
at water.automl.api.AutoMLBuilderHandler.build(AutoMLBuilderHandler.java:15) ~[h2o.jar:?]
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) ~[?:1.8.0_341]
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) ~[?:1.8.0_341]
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) ~[?:1.8.0_341]
at java.lang.reflect.Method.invoke(Unknown Source) ~[?:1.8.0_341]
at water.api.Handler.handle(Handler.java:60) ~[h2o.jar:?]
at water.api.RequestServer.serve(RequestServer.java:470) [h2o.jar:?]
at water.api.RequestServer.doGeneric(RequestServer.java:301) [h2o.jar:?]
at water.api.RequestServer.doPost(RequestServer.java:227) [h2o.jar:?]
at javax.servlet.http.HttpServlet.service(HttpServlet.java:707) [h2o.jar:?]
at javax.servlet.http.HttpServlet.service(HttpServlet.java:790) [h2o.jar:?]
at org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:865) [h2o.jar:?]
at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:535) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1317) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:203) [h2o.jar:?]
at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:473) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:201) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1219) [h2o.jar:?]
at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:144) [h2o.jar:?]
at org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126) [h2o.jar:?]
at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132) [h2o.jar:?]
at water.webserver.jetty9.Jetty9ServerAdapter$LoginHandler.handle(Jetty9ServerAdapter.java:130) [h2o.jar:?]
at org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126) [h2o.jar:?]
at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132) [h2o.jar:?]
at org.eclipse.jetty.server.Server.handle(Server.java:531) [h2o.jar:?]
at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:352) [h2o.jar:?]
at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:260) [h2o.jar:?]
at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:281) [h2o.jar:?]
at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:102) [h2o.jar:?]
at org.eclipse.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:118) [h2o.jar:?]
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:333) [h2o.jar:?]
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:310) [h2o.jar:?]
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:168) [h2o.jar:?]
at org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:126) [h2o.jar:?]
at org.eclipse.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:366) [h2o.jar:?]
at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:762) [h2o.jar:?]
at org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:680) [h2o.jar:?]
at java.lang.Thread.run(Unknown Source) [?:1.8.0_341]
08-31 10:57:26.242 127.0.0.1:54321 20836 0228826-17 ERROR water.default: Caught exception:
08-31 10:57:26.242 127.0.0.1:54321 20836 0228826-17 ERROR water.default:
08-31 10:57:26.242 127.0.0.1:54321 20836 0228826-17 ERROR water.default: ERROR MESSAGE:
08-31 10:57:26.242 127.0.0.1:54321 20836 0228826-17 ERROR water.default:
08-31 10:57:26.243 127.0.0.1:54321 20836 0228826-17 ERROR water.default: Caught exception: java.lang.NullPointerException from: water.nbhm.NonBlockingHashMap.putIfMatch(NonBlockingHashMap.java:369)
08-31 10:57:26.243 127.0.0.1:54321 20836 0228826-17 ERROR water.default:
08-31 10:57:26.243 127.0.0.1:54321 20836 0228826-17 ERROR water.default: ; Stacktrace: [java.lang.NullPointerException, water.nbhm.NonBlockingHashMap.putIfMatch(NonBlockingHashMap.java:369), water.nbhm.NonBlockingHashMap.put(NonBlockingHashMap.java:320), ai.h2o.automl.AutoMLSession.getModelingSteps(AutoMLSession.java:76), ai.h2o.automl.ModelingStepsRegistry.getOrderedSteps(ModelingStepsRegistry.java:54), ai.h2o.automl.AutoML.getExecutionPlan(AutoML.java:330), ai.h2o.automl.AutoML.planWork(AutoML.java:359), ai.h2o.automl.AutoML.submit(AutoML.java:395), ai.h2o.automl.AutoML.startAutoML(AutoML.java:80), water.automl.api.AutoMLBuilderHandler.build(AutoMLBuilderHandler.java:15), sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method), sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source), sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source), java.lang.reflect.Method.invoke(Unknown Source), water.api.Handler.handle(Handler.java:60), water.api.RequestServer.serve(RequestServer.java:470), water.api.RequestServer.doGeneric(RequestServer.java:301), water.api.RequestServer.doPost(RequestServer.java:227), javax.servlet.http.HttpServlet.service(HttpServlet.java:707), javax.servlet.http.HttpServlet.service(HttpServlet.java:790), org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:865), org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:535), org.eclipse.jetty.server.handler.ScopedHandler.nextHandle(ScopedHandler.java:255), org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1317), org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:203), org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:473), org.eclipse.jetty.server.handler.ScopedHandler.nextScope(ScopedHandler.java:201), org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1219), org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:144), org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126), org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132), water.webserver.jetty9.Jetty9ServerAdapter$LoginHandler.handle(Jetty9ServerAdapter.java:130), org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:126), org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:132), org.eclipse.jetty.server.Server.handle(Server.java:531), org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:352), org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:260), org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:281), org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:102), org.eclipse.jetty.io.ChannelEndPoint$2.run(ChannelEndPoint.java:118), org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.runTask(EatWhatYouKill.java:333), org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.doProduce(EatWhatYouKill.java:310), org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.tryProduce(EatWhatYouKill.java:168), org.eclipse.jetty.util.thread.strategy.EatWhatYouKill.run(EatWhatYouKill.java:126), org.eclipse.jetty.util.thread.ReservedThreadExecutor$ReservedThread.run(ReservedThreadExecutor.java:366), org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:762), org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:680), java.lang.Thread.run(Unknown Source)];parms={}
08-31 10:59:11.676 127.0.0.1:54321 20836 0228826-10 INFO water.default: GET /3/Logs/nodes/self/files/info, parms: {}
08-31 10:59:11.701 127.0.0.1:54321 20836 0228826-13 INFO water.default: GET /3/Logs/nodes/127.0.0.1:54321/files/info, parms: {}
1 answers
solution1
1 2022-08-31 08:21:16
I believe it could be caused by the small data. Try having at least 200 rows in your dataset. If that won't help, I'd recommend looking into h2o logs (eg h2o.download_all_logs(PATH_TO_A_DIRECTORY) ) and adding the whole stacktrace along with h2o version to this question.
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