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https://issues.apache.org/jira/browse/BEAM-14094?focusedWorklogId=750390&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-750390
]
ASF GitHub Bot logged work on BEAM-14094:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Mar/22 19:25
Start Date: 30/Mar/22 19:25
Worklog Time Spent: 10m
Work Description: ibzib commented on pull request #17081:
URL: https://github.com/apache/beam/pull/17081#issuecomment-1083538234
run java precommit
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Issue Time Tracking
-------------------
Worklog Id: (was: 750390)
Time Spent: 1h (was: 50m)
> Fix null pointer exception in HllCountInitFn
> --------------------------------------------
>
> Key: BEAM-14094
> URL: https://issues.apache.org/jira/browse/BEAM-14094
> Project: Beam
> Issue Type: Bug
> Components: dsl-sql, extensions-java-sketching
> Reporter: Brachi Packter
> Priority: P3
> Time Spent: 1h
> Remaining Estimate: 0h
>
> When trying to aggregate input with null value we will fail on null pointer
> exception, when we deal with high events rate we can have sometimes "broken"
> events and I don't want them the break all the pipline.
> trace:
> exception: "java.lang.NullPointerException
> at
> com.google.zetasketch.HyperLogLogPlusPlus.add(HyperLogLogPlusPlus.java:212)
> at
> org.apache.beam.sdk.extensions.zetasketch.HllCountInitFn$ForString.addInput(HllCountInitFn.java:147)
> at
> org.apache.beam.sdk.extensions.zetasketch.HllCountInitFn$ForString.addInput(HllCountInitFn.java:137)
> at
> org.apache.beam.sdk.extensions.sql.impl.transform.agg.AggregationCombineFnAdapter$WrappedCombinerBase.addInput(AggregationCombineFnAdapter.java:54)
> at
> org.apache.beam.sdk.transforms.CombineFns$ComposedCombineFn.addInput(CombineFns.java:382)
> at
> org.apache.beam.sdk.schemas.transforms.SchemaAggregateFn$Inner.addInput(SchemaAggregateFn.java:324)
> at
> org.apache.beam.sdk.schemas.transforms.SchemaAggregateFn$Inner.addInput(SchemaAggregateFn.java:63)
> at
> org.apache.beam.runners.dataflow.worker.WindmillStateInternals$WindmillCombiningState.add(WindmillStateInternals.java:2056)
> at
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.SystemReduceFn.processValue(SystemReduceFn.java:119)
> at
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.processElement(ReduceFnRunner.java:613)
> at
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.ReduceFnRunner.processElements(ReduceFnRunner.java:360)
> at
> org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:96)
> at
> org.apache.beam.runners.dataflow.worker.StreamingGroupAlsoByWindowViaWindowSetFn.processElement(StreamingGroupAlsoByWindowViaWindowSetFn.java:43)
> at
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.invokeProcessElement(GroupAlsoByWindowFnRunner.java:121)
> at
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowFnRunner.processElement(GroupAlsoByWindowFnRunner.java:73)
> at
> org.apache.beam.runners.dataflow.worker.repackaged.org.apache.beam.runners.core.LateDataDroppingDoFnRunner.processElement(LateDataDroppingDoFnRunner.java:80)
> at
> org.apache.beam.runners.dataflow.worker.GroupAlsoByWindowsParDoFn.processElement(GroupAlsoByWindowsParDoFn.java:137)
> at
> org.apache.beam.runners.dataflow.worker.util.common.worker.ParDoOperation.process(ParDoOperation.java:44)
> at
> org.apache.beam.runners.dataflow.worker.util.common.worker.OutputReceiver.process(OutputReceiver.java:49)
> at
> org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.runReadLoop(ReadOperation.java:212)
> at
> org.apache.beam.runners.dataflow.worker.util.common.worker.ReadOperation.start(ReadOperation.java:163)
> at
> org.apache.beam.runners.dataflow.worker.util.common.worker.MapTaskExecutor.execute(MapTaskExecutor.java:92)
> at
> org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.process(StreamingDataflowWorker.java:1437)
> at
> org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker.access$1100(StreamingDataflowWorker.java:165)
> at
> org.apache.beam.runners.dataflow.worker.StreamingDataflowWorker$7.run(StreamingDataflowWorker.java:1113)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
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