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Description
At the end of high load workloads with high latency, runs fail to complete cleanly and no output summary is generated.
The following error(s) are printed + a very large table of hex values, presumably the raw content of the buffer that was the wrong size:
17:18:27.763 [AsyncHttpClient-3-1] ERROR HistogramDeserializer - Failed to decode publish delay latency: +-------------------------------------------------+
| 0 1 2 3 4 5 6 7 8 9 a b c d e f |
+--------+-------------------------------------------------+----------------+
|00000000| 78 9c 2c b4 0b 68 9a f9 17 2d fa 37 31 6a 8c af |x.,..h...-.71j..|
|00000010| f8 8a 51 93 a8 79 9b 97 c9 f4 94 de 12 7a 43 09 |..Q..y.......zC.|
|00000020| a5 84 52 7a 4b 08 25 94 52 7a 4a 29 a5 94 52 ca |..RzK.%.RzJ)..R.|
|00000030| 30 0c c3 20 22 5e 11 11 f1 88 88 88 88 57 44 44 |0.. "^.......WDD|
|00000040| 44 44 44 44 82 88 88 57 44 82 88 88 04 09 22 22 |DDDD...WD.....""|
|00000050| 22 41 82 88 88 84 b3 3e ff 67 be f9 3e 7f 8f bd |"A.....>.g..>...|
...
|000fffd0| 12 a8 f5 77 83 f7 4f d5 ce 82 02 f7 be 86 2a 72 |...w..O.......*r|
|000fffe0| cf 77 b5 49 a9 d5 d0 ea 93 44 f7 20 d2 4c b8 fa |.w.I.....D. .L..|
|000ffff0| a1 dd d5 11 50 75 9b 79 |....Pu.y |
+--------+-------------------------------------------------+----------------+
17:18:27.844 [main] ERROR Benchmark - Failed to run the workload '500k rate 4 producers and 4 consumers on 1 topic / 100 partition' for driver 'driver-kafka/kafka-throughput.yaml'
java.util.concurrent.CompletionException: java.util.concurrent.CompletionException: java.lang.RuntimeException: com.fasterxml.jackson.databind.JsonMappingException: java.lang.IllegalArgumentException: The buffer does not contain the indicated payload amount (through reference chain: io.openmessaging.benchmark.worker.commands.CumulativeLatencies["publishLatency"])
at jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) ~[?:?]
at jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) ~[?:?]
at jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) ~[?:?]
at java.lang.reflect.Constructor.newInstance(Constructor.java:490) ~[?:?]
at java.util.concurrent.ForkJoinTask.getThrowableException(ForkJoinTask.java:600) ~[?:?]
at java.util.concurrent.ForkJoinTask.reportException(ForkJoinTask.java:678) ~[?:?]
at java.util.concurrent.ForkJoinTask.invoke(ForkJoinTask.java:737) ~[?:?]
at java.util.stream.ReduceOps$ReduceOp.evaluateParallel(ReduceOps.java:919) ~[?:?]
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:233) ~[?:?]
at java.util.stream.ReferencePipeline.reduce(ReferencePipeline.java:553) ~[?:?]
at io.openmessaging.benchmark.worker.DistributedWorkersEnsemble.getCumulativeLatencies(DistributedWorkersEnsemble.java:250) ~[io.openmessaging.benchmark-benchmark-framework-0.0.1-SNAPSHOT.jar:?]
at io.openmessaging.benchmark.WorkloadGenerator.printAndCollectStats(WorkloadGenerator.java:525) ~[io.openmessaging.benchmark-benchmark-framework-0.0.1-SNAPSHOT.jar:?]
at io.openmessaging.benchmark.WorkloadGenerator.run(WorkloadGenerator.java:143) ~[io.openmessaging.benchmark-benchmark-framework-0.0.1-SNAPSHOT.jar:?]
at io.openmessaging.benchmark.Benchmark.lambda$main$0(Benchmark.java:173) ~[io.openmessaging.benchmark-benchmark-framework-0.0.1-SNAPSHOT.jar:?]
at java.util.ArrayList.forEach(ArrayList.java:1541) ~[?:?]
at io.openmessaging.benchmark.Benchmark.lambda$main$1(Benchmark.java:153) ~[io.openmessaging.benchmark-benchmark-framework-0.0.1-SNAPSHOT.jar:?]
at java.util.TreeMap.forEach(TreeMap.java:1002) [?:?]
at io.openmessaging.benchmark.Benchmark.main(Benchmark.java:151) [io.openmessaging.benchmark-benchmark-framework-0.0.1-SNAPSHOT.jar:?]
Caused by: java.util.concurrent.CompletionException: java.lang.RuntimeException: com.fasterxml.jackson.databind.JsonMappingException: java.lang.IllegalArgumentException: The buffer does not contain the indicated payload amount (through reference chain: io.openmessaging.benchmark.worker.commands.CumulativeLatencies["publishLatency"])
......