[FLINK-11030] Cannot use Avro logical types with ConfluentRegistryAvroDeserializationSchema

• Type: Bug
• Status: Open
• Priority: Minor
• Resolution: Unresolved
• Affects Version/s: 1.6.2
• Component/s: Formats (JSON, Avro, Parquet, ORC, SequenceFile)
• Labels: auto-deprioritized-major auto-deprioritized-minor pull-request-available
• Assignee: Unassigned
• Reporter: Maciej Bryński
• Created: 29/Nov/18 13:39
• Updated: 23/Aug/23 10:35

Description

I created Specific class for Kafka topic.
Avro schema includes logicalTypes.
Then I want to read data using following code:

val deserializationSchema = ConfluentRegistryAvroDeserializationSchema.forSpecific(classOf[mySpecificClass], schemaRegistryUrl)
val kafkaStream = env.addSource(
  new FlinkKafkaConsumer011(topic, deserializationSchema, kafkaProperties)
)
kafkaStream.print()

Result:

 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)
 

When using Kafka Consumer there was a hack for this to use LogicalConverters.
Unfortunately it's not working in flink.

 SpecificData.get.addLogicalTypeConversion(new TimeConversions.TimestampConversion)
 

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.

Issue Links

• links to: GitHub Pull Request #7584