Maciej Bryński created FLINK-11030:
--------------------------------------
Summary: 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
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}
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