Created 01-16-2026 05:36 AM
Hi everyone,
I'm currently trying to write records containing timestamps to parquet.
The writing part seems to work fine, as the resulting parquet file contains the avro schema '{"name":"ts_string","type":{"type":"long","logicalType":"timestamp-millis"}}' and the parquet column type "timestamp[ms, tz=UTC]".
However when reading the same parquet file, I get the error message:
ERROR [Timer-Driven Process Thread-6] o.a.n.processors.standard.ConvertRecord ConvertRecord[id=c2746584-b622-3127-f4fd-c46a9243553e] Failed to process StandardFlowFileRecord[uuid=cef04323-a7c0-4965-84d6-c2b8d16c3fac,claim=StandardContentClaim [resourceClaim=StandardResourceClaim[id=1768470437932-1, container=default, section=1], offset=17423, length=6057],offset=0,name=73ca82fa-02af-44d1-9c23-27e0b2b6588f,size=6057]; will route to failure
java.lang.ClassCastException: class java.time.Instant cannot be cast to class java.lang.Long (java.time.Instant and java.lang.Long are in module java.base of loader 'bootstrap')
at org.apache.nifi.avro.AvroTypeUtil.normalizeValue(AvroTypeUtil.java:1175)
at org.apache.nifi.avro.AvroTypeUtil.convertAvroRecordToMap(AvroTypeUtil.java:979)
at org.apache.nifi.avro.AvroTypeUtil.convertAvroRecordToMap(AvroTypeUtil.java:943)
at org.apache.nifi.parquet.record.ParquetRecordReader.nextRecord(ParquetRecordReader.java:111)
at org.apache.nifi.serialization.RecordReader.nextRecord(RecordReader.java:50)
at java.base/jdk.internal.reflect.DirectMethodHandleAccessor.invoke(DirectMethodHandleAccessor.java:103)
at java.base/java.lang.reflect.Method.invoke(Method.java:580)
at org.apache.nifi.controller.service.StandardControllerServiceInvocationHandler.invoke(StandardControllerServiceInvocationHandler.java:251)
at org.apache.nifi.controller.service.StandardControllerServiceInvocationHandler$ProxiedReturnObjectInvocationHandler.invoke(StandardControllerServiceInvocationHandler.java:237)
at jdk.proxy41/jdk.proxy41.$Proxy214.nextRecord(Unknown Source)
at org.apache.nifi.processors.standard.AbstractRecordProcessor.lambda$onTrigger$0(AbstractRecordProcessor.java:132)
at org.apache.nifi.controller.repository.StandardProcessSession.write(StandardProcessSession.java:3410)
at org.apache.nifi.processors.standard.AbstractRecordProcessor.onTrigger(AbstractRecordProcessor.java:125)
at org.apache.nifi.processor.AbstractProcessor.onTrigger(AbstractProcessor.java:27)
at org.apache.nifi.controller.StandardProcessorNode.onTrigger(StandardProcessorNode.java:1274)
at org.apache.nifi.controller.tasks.ConnectableTask.invoke(ConnectableTask.java:229)
at org.apache.nifi.controller.scheduling.AbstractTimeBasedSchedulingAgent.lambda$doScheduleOnce$0(AbstractTimeBasedSchedulingAgent.java:59)
at org.apache.nifi.engine.FlowEngine.lambda$wrap$1(FlowEngine.java:105)
at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:572)
at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:317)
at java.base/java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:304)
at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1144)
at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642)
at java.base/java.lang.Thread.run(Thread.java:1583)
Trying the same thing in Nifi 2.6.0 works as expected.
Here is a basic flow to recreate the problem:
The error is thrown in the ConvertRecord Processor. Interestingly. when trying to display the flowfile in the new parquet content viewer, it also seems to crash/doesn't show anything.
On a side note: Are there any (better) recommendations on converting fields in records to their appropriate datatypes? I've tried using UpdateRecord with the "toDate" function. However, when using Schema Access Strategy "Inherit Record Schema", the resulting avro type is '["string","null"]'.
Kind regards
Nick
Created 01-16-2026 12:28 PM
@nicktk Welcome to the Cloudera Community!
To help you get the best possible solution, I have tagged our NiFi experts @MattWho @mburgess who may be able to assist you further.
Please keep us updated on your post, and we hope you find a satisfactory solution to your query.
Regards,
Diana Torres,