This is a performance optimization in JVM when the same exception is thrown too frequently. You can set `-XX:-OmitStackTraceInFastThrow` to disable the feature. You can typically find the full stack trace in the log before the optimization kicks in.
On Sat, Dec 12, 2020 at 2:05 AM Till Rohrmann <trohrm...@apache.org> wrote: > Ok, then let's see whether it reoccurs. What you could do is to revert the > fix and check the stack trace again. > > Cheers, > Till > > On Sat, Dec 12, 2020, 02:16 Dan Hill <quietgol...@gmail.com> wrote: > >> Hmm, I don't have a good job I can separate for reproduction. I was >> using Table SQL and inserting a long field (which was null) into a table >> that sinked out to avro. The exception was being thrown from this Avro >> function. I can watch to see if it keeps happening. >> >> >> https://github.com/apache/avro/blob/e982f2e6ee57c362a7fae21ba7373c1cfc964fce/lang/java/avro/src/main/java/org/apache/avro/generic/GenericDatumWriter.java#L127 >> >> On Fri, Dec 11, 2020 at 3:31 AM Till Rohrmann <trohrm...@apache.org> >> wrote: >> >>> Hi Dan, >>> >>> Do you have an example job and some sample data to reproduce this >>> problem? I couldn't reproduce it locally with a simple example job. >>> >>> Cheers, >>> Till >>> >>> On Thu, Dec 10, 2020 at 5:51 PM Dan Hill <quietgol...@gmail.com> wrote: >>> >>>> Yea, the error makes sense and was an easy fix. >>>> >>>> Any idea what happened with the hidden stacktrace? The hidden >>>> stacktrace made this 100x more difficult. >>>> >>>> On Thu, Dec 10, 2020 at 12:59 AM Flavio Pompermaier < >>>> pomperma...@okkam.it> wrote: >>>> >>>>> It looks like the problem is that there's a problem in reading a null >>>>> value in the AvroRowDataDeserializationSchema (see below for the snippet >>>>> of >>>>> code from Flink 1.11.1). >>>>> The problem is due to the fact that there's a bad typing of the source >>>>> so the call to createConverter() within the createNullableConverter() >>>>> returns null, creating a null on fieldConverters[i] and, in the end, a >>>>> NullPointer in fieldConverters[i].convert(). Does it make sense? >>>>> >>>>> static DeserializationRuntimeConverter createRowConverter(RowType >>>>> rowType) { >>>>> final DeserializationRuntimeConverter[] fieldConverters = >>>>> rowType.getFields().stream() >>>>> .map(RowType.RowField::getType) >>>>> .map(AvroRowDataDeserializationSchema::createNullableConverter) >>>>> .toArray(DeserializationRuntimeConverter[]::new); >>>>> final int arity = rowType.getFieldCount(); >>>>> return avroObject -> { >>>>> IndexedRecord record = (IndexedRecord) avroObject; >>>>> GenericRowData row = new GenericRowData(arity); >>>>> for (int i = 0; i < arity; ++i) { >>>>> row.setField(i, fieldConverters[i].convert(record.get(i))); >>>>> } >>>>> return row; >>>>> }; >>>>> } >>>>> >>>>> Best, >>>>> Flavio >>>>> >>>>> On Thu, Dec 10, 2020 at 8:39 AM Dan Hill <quietgol...@gmail.com> >>>>> wrote: >>>>> >>>>>> One of the Exception instances finally reported a stacktrace. I'm >>>>>> not sure why it's so infrequent. >>>>>> >>>>>> java.lang.NullPointerException: null >>>>>> >>>>>> at >>>>>> org.apache.flink.table.data.GenericRowData.getLong(GenericRowData.java:154) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.data.RowData.lambda$createFieldGetter$245ca7d1$7(RowData.java:338) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.formats.avro.AvroRowDataSerializationSchema.lambda$createRowConverter$6827278$1(AvroRowDataSerializationSchema.java:177) >>>>>> ~[blob_p-97afea7f96212938a7f59355af26e877ab52777d-022ef71f40ed0889789b9e942825fbb7:?] >>>>>> >>>>>> at >>>>>> org.apache.flink.formats.avro.AvroFileSystemFormatFactory$RowDataAvroWriterFactory$1.addElement(AvroFileSystemFormatFactory.java:251) >>>>>> ~[blob_p-97afea7f96212938a7f59355af26e877ab52777d-022ef71f40ed0889789b9e942825fbb7:?] >>>>>> >>>>>> at >>>>>> org.apache.flink.formats.avro.AvroFileSystemFormatFactory$RowDataAvroWriterFactory$1.addElement(AvroFileSystemFormatFactory.java:247) >>>>>> ~[blob_p-97afea7f96212938a7f59355af26e877ab52777d-022ef71f40ed0889789b9e942825fbb7:?] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.filesystem.FileSystemTableSink$ProjectionBulkFactory$1.addElement(FileSystemTableSink.java:498) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.filesystem.FileSystemTableSink$ProjectionBulkFactory$1.addElement(FileSystemTableSink.java:494) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.functions.sink.filesystem.BulkPartWriter.write(BulkPartWriter.java:48) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.functions.sink.filesystem.Bucket.write(Bucket.java:202) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.functions.sink.filesystem.Buckets.onElement(Buckets.java:282) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.functions.sink.filesystem.StreamingFileSinkHelper.onElement(StreamingFileSinkHelper.java:104) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.filesystem.stream.StreamingFileWriter.processElement(StreamingFileWriter.java:118) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:717) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:692) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:672) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:52) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:30) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at StreamExecCalc$793.processElement(Unknown Source) ~[?:?] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.pushToOperator(OperatorChain.java:717) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:692) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.runtime.tasks.OperatorChain$CopyingChainingOutput.collect(OperatorChain.java:672) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:52) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:30) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.operators.TimestampedCollector.collect(TimestampedCollector.java:53) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.runtime.operators.join.interval.EmitAwareCollector.collect(EmitAwareCollector.java:48) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.runtime.operators.join.interval.EmitAwareCollector.collect(EmitAwareCollector.java:28) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.runtime.operators.join.interval.TimeIntervalJoin.lambda$removeExpiredRows$2(TimeIntervalJoin.java:411) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at java.util.ArrayList.forEach(ArrayList.java:1259) >>>>>> ~[?:1.8.0_265] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.runtime.operators.join.interval.TimeIntervalJoin.removeExpiredRows(TimeIntervalJoin.java:408) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.runtime.operators.join.interval.TimeIntervalJoin.onTimer(TimeIntervalJoin.java:332) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.table.runtime.operators.join.interval.RowTimeIntervalJoin.onTimer(RowTimeIntervalJoin.java:30) >>>>>> ~[flink-table-blink_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.operators.co.KeyedCoProcessOperator.onEventTime(KeyedCoProcessOperator.java:95) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> at >>>>>> org.apache.flink.streaming.api.operators.InternalTimerServiceImpl.advanceWatermark(InternalTimerServiceImpl.java:276) >>>>>> ~[flink-dist_2.12-1.11.1.jar:1.11.1] >>>>>> >>>>>> On Wed, Dec 9, 2020 at 4:33 PM Dan Hill <quietgol...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> In the Flink dashboard, my job is failing with a >>>>>>> NullPointerException but the Exception is not showing a stack trace. I >>>>>>> do >>>>>>> not see any NullPointerExceptions in any of the flink-jobmanager and >>>>>>> flink-taskmanager logs. >>>>>>> >>>>>>> Is this a normal issue? >>>>>>> >>>>>>> [image: Screen Shot 2020-12-09 at 4.29.30 PM.png] >>>>>>> >>>>>>
