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https://issues.apache.org/jira/browse/FLINK-14617?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-14617:
-----------------------------------
Labels: auto-deprioritized-major stale-minor (was:
auto-deprioritized-major)
I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help
the community manage its development. I see this issues has been marked as
Minor but is unassigned and neither itself nor its Sub-Tasks have been updated
for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is
still Minor, please either assign yourself or give an update. Afterwards,
please remove the label or in 7 days the issue will be deprioritized.
> Dataset Parquet ClassCastException for SpecificRecord
> -----------------------------------------------------
>
> Key: FLINK-14617
> URL: https://issues.apache.org/jira/browse/FLINK-14617
> Project: Flink
> Issue Type: Bug
> Components: API / DataSet
> Affects Versions: 1.8.0
> Environment: {code:java}
> {code}
> Reporter: Dominik Wosiński
> Priority: Minor
> Labels: auto-deprioritized-major, stale-minor
>
> The following code runs smoothly when the _executionEnvironment_ is instance
> of _StreamExecutionEnvironment_:
> {code:java}
> val filePaths = //some links to s3 files
> val job = Job.getInstance()
> AvroReadSupport.setAvroDataSupplier(job.getConfiguration,
> classOf[AvroDataSupplierWithTimestampConversion])
> val avroParquetInputFormat = new AvroParquetInputFormat[GpsPointDTO]()
> val hadoopInputFormat = new HadoopInputFormat[Void,
> GpsPointDTO](avroParquetInputFormat, classOf[Void], classOf[GpsPointDTO], job)
> FileInputFormat.addInputPaths(job, filePaths.head)
> executionEnvironment.createInput(hadoopInputFormat).map(_._2).print(){code}
> But when the _ExecutionEnvironment_ is used instead of
> _StreamExecutionEnviroment,_ then the code throws the:
> {code:java}
> Caused by: java.lang.ClassCastException: class
> org.apache.avro.generic.GenericData$Record cannot be cast to class
> com.company.GpsPointDTO (org.apache.avro.generic.GenericData$Record and
> com.company.GpsPointDTO are in unnamed module of loader 'app'){code}
> I don't think this is the expected behavior.
> The code simply reads some files from S3. It has the
> _AvroSupplierWithTimestampConversion_ which is used to add timestamp
> conversion to _DateTime_, _GpsPointDTO_ is a class generated from Avro schema.
> EDIT: It seems to work fine for Dataset API, if I remove the setting of
> _avroDataSupplier_. Obviously, in such case I needed to change Avro schema to
> use timestamp as _long_.
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