[jira] [Commented] (FLINK-11030) Cannot use Avro logical types with ConfluentRegistryAvroDeserializationSchema

["Maciej Bryński (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/FLINK-11030?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16762634#comment-16762634 ] 

Maciej Bryński commented on FLINK-11030:
----------------------------------------

[~aljoscha]
I think this should help.

> Cannot use Avro logical types with ConfluentRegistryAvroDeserializationSchema
> -----------------------------------------------------------------------------
>
>                 Key: FLINK-11030
>                 URL: https://issues.apache.org/jira/browse/FLINK-11030
>             Project: Flink
>          Issue Type: Bug
>    Affects Versions: 1.6.2
>            Reporter: Maciej Bryński
>            Assignee: Aljoscha Krettek
>            Priority: Major
>              Labels: pull-request-available
>          Time Spent: 10m
>  Remaining Estimate: 0h
>
> I created Specific class for Kafka topic. 
>  Avro schema includes logicalTypes.
>  Then I want to read data using following code:
> {code:scala}
> val deserializationSchema = ConfluentRegistryAvroDeserializationSchema.forSpecific(classOf[mySpecificClass], schemaRegistryUrl)
> val kafkaStream = env.addSource(
>   new FlinkKafkaConsumer011(topic, deserializationSchema, kafkaProperties)
> )
> kafkaStream.print()
> {code}
>  Result:
>  {code}
>  Exception in thread "main" org.apache.flink.runtime.client.JobExecutionException: java.lang.ClassCastException: java.lang.Long cannot be cast to org.joda.time.DateTime
>  at org.apache.flink.runtime.minicluster.MiniCluster.executeJobBlocking(MiniCluster.java:623)
>  at org.apache.flink.streaming.api.environment.LocalStreamEnvironment.execute(LocalStreamEnvironment.java:123)
>  at org.apache.flink.streaming.api.environment.StreamExecutionEnvironment.execute(StreamExecutionEnvironment.java:1511)
>  at org.apache.flink.streaming.api.scala.StreamExecutionEnvironment.execute(StreamExecutionEnvironment.scala:645)
>  at TransactionEnrichment$.main(TransactionEnrichment.scala:50)
>  at TransactionEnrichment.main(TransactionEnrichment.scala)
>  Caused by: java.lang.ClassCastException: java.lang.Long cannot be cast to org.joda.time.DateTime
>  at platform_tbl_game_transactions_v1.Value.put(Value.java:222)
>  at org.apache.avro.generic.GenericData.setField(GenericData.java:690)
>  at org.apache.avro.specific.SpecificDatumReader.readField(SpecificDatumReader.java:119)
>  at org.apache.avro.generic.GenericDatumReader.readRecord(GenericDatumReader.java:222)
>  at org.apache.avro.generic.GenericDatumReader.readWithoutConversion(GenericDatumReader.java:175)
>  at org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:153)
>  at org.apache.avro.generic.GenericDatumReader.read(GenericDatumReader.java:145)
>  at org.apache.flink.formats.avro.RegistryAvroDeserializationSchema.deserialize(RegistryAvroDeserializationSchema.java:74)
>  at org.apache.flink.streaming.util.serialization.KeyedDeserializationSchemaWrapper.deserialize(KeyedDeserializationSchemaWrapper.java:44)
>  at org.apache.flink.streaming.connectors.kafka.internal.Kafka09Fetcher.runFetchLoop(Kafka09Fetcher.java:142)
>  at org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase.run(FlinkKafkaConsumerBase.java:738)
>  at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:87)
>  at org.apache.flink.streaming.api.operators.StreamSource.run(StreamSource.java:56)
>  at org.apache.flink.streaming.runtime.tasks.SourceStreamTask.run(SourceStreamTask.java:99)
>  at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:300)
>  at org.apache.flink.runtime.taskmanager.Task.run(Task.java:711)
>  at java.lang.Thread.run(Thread.java:748)
>  {code}
>  When using Kafka Consumer there was a hack for this to use LogicalConverters.
>  Unfortunately it's not working in flink.
>  {code}
>  SpecificData.get.addLogicalTypeConversion(new TimeConversions.TimestampConversion)
>  {code}
> Problem probably is cause by the fact we're creating own instance of SpecificData
> https://github.com/apache/flink/blob/master/flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/AvroDeserializationSchema.java#L145
> And there is no logical conversions added.



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