Hello Thias,
thank you for your answer.
We've tested registering an existing (byte equal) schema a second time, but
unfortunately the schema registry does still deny the request.
Your last suggestion sounds promising, but I think there are some edge cases
with this approach that will still cause an error. For example when writing to
a new topic that’s empty, querying this topic before won't return any records
and therefore the schema would not be put into the schemaRegistryClient cache.
I'm still preferring a flag for the "avro-confluent-registry" format that will
disable registering schemas and instead the format will just try to get the ID
for a schema string from the registry. If there is an ID for that schema, Flink
will use it. If there is none, an exception should be thrown.
What do you think of that?
Best regards,
Jannik
Von: Schwalbe Matthias <matthias.schwa...@viseca.ch>
Gesendet: Mittwoch, 31. Mai 2023 13:33
An: Schmeier, Jannik <j.schme...@fraport.de>; user@flink.apache.org
Betreff: RE: Using pre-registered schemas with avro-confluent-registry format
is not possible
Hello Jannik,
Some things to consider (I had a similar problem a couple of years before):
* The schemaRegistryClient actually caches schema ids, so it will hit the
schema registry only once,
* The schema registered in schema registry needs to be byte-equal,
otherwise schema registry considers it to be a new schema (version)
* … to my best knowledge writing an existing schema to the schema registry
does not fail because it is actually not written
* Could be that this is not entirely true as we had to replace the whole
schemaRegistryClient with our own implementation because the existing one could
not be reconfigured to accept compressed answers from our r/o proxy
* if you manage to fill the cache of your schemaRegistryClient with the
exact schema (e.g. by querying it beforehand) you might never run into the
trouble
Hope this helps … keep us posted 😊
Thias
From: Schmeier, Jannik <j.schme...@fraport.de<mailto:j.schme...@fraport.de>>
Sent: Wednesday, May 31, 2023 12:44 PM
To: user@flink.apache.org<mailto:user@flink.apache.org>
Subject: Using pre-registered schemas with avro-confluent-registry format is
not possible
⚠EXTERNAL MESSAGE – CAUTION: Think Before You Click ⚠
Hello,
I'm trying to use the avro-confluent-registry format with the Confluent Cloud
Schema Registry in our company.
Our schemas are managed via Terraform and global write access is denied for all
Kafka clients in our environments (or at least in production).
Therefore, when using the avro-confluent-registry format I'm getting an error
when Flink is trying to serialize a row:
java.lang.RuntimeException: Failed to serialize row.
at
org.apache.flink.formats.avro.AvroRowDataSerializationSchema.serialize(AvroRowDataSerializationSchema.java:90)
~[?:?]
at
org.apache.flink.formats.avro.AvroRowDataSerializationSchema.serialize(AvroRowDataSerializationSchema.java:40)
~[?:?]
at
org.apache.flink.streaming.connectors.kafka.table.DynamicKafkaRecordSerializationSchema.serialize(DynamicKafkaRecordSerializationSchema.java:95)
~[?:?]
at
org.apache.flink.streaming.connectors.kafka.table.DynamicKafkaRecordSerializationSchema.serialize(DynamicKafkaRecordSerializationSchema.java:36)
~[?:?]
at
org.apache.flink.connector.kafka.sink.KafkaWriter.write(KafkaWriter.java:196)
~[?:?]
at
org.apache.flink.streaming.runtime.operators.sink.SinkWriterOperator.processElement(SinkWriterOperator.java:158)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:75)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:50)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.table.runtime.util.StreamRecordCollector.collect(StreamRecordCollector.java:44)
~[flink-table-runtime-1.17.0.jar:1.17.0]
at
org.apache.flink.table.runtime.operators.sink.ConstraintEnforcer.processElement(ConstraintEnforcer.java:247)
~[flink-table-runtime-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:75)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:50)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
~[flink-dist-1.17.0.jar:1.17.0]
at StreamExecCalc$2221.processElement_0_0(Unknown Source) ~[?:?]
at
StreamExecCalc$2221.processElement_0_0_rewriteGroup22_split310(Unknown Source)
~[?:?]
at
StreamExecCalc$2221.processElement_0_0_rewriteGroup22(Unknown Source) ~[?:?]
at StreamExecCalc$2221.processElement_split308(Unknown Source)
~[?:?]
at StreamExecCalc$2221.processElement(Unknown Source) ~[?:?]
at
org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.pushToOperator(CopyingChainingOutput.java:75)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:50)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.CopyingChainingOutput.collect(CopyingChainingOutput.java:29)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.api.operators.TimestampedCollector.collect(TimestampedCollector.java:51)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.table.runtime.operators.over.RowTimeRangeUnboundedPrecedingFunction.processElementsWithSameTimestamp(RowTimeRangeUnboundedPrecedingFunction.java:74)
~[flink-table-runtime-1.17.0.jar:1.17.0]
at
org.apache.flink.table.runtime.operators.over.AbstractRowTimeUnboundedPrecedingOver.onTimer(AbstractRowTimeUnboundedPrecedingOver.java:228)
~[flink-table-runtime-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.api.operators.KeyedProcessOperator.invokeUserFunction(KeyedProcessOperator.java:91)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.api.operators.KeyedProcessOperator.onEventTime(KeyedProcessOperator.java:70)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.api.operators.InternalTimerServiceImpl.advanceWatermark(InternalTimerServiceImpl.java:302)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.api.operators.InternalTimeServiceManagerImpl.advanceWatermark(InternalTimeServiceManagerImpl.java:180)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.api.operators.AbstractStreamOperator.processWatermark(AbstractStreamOperator.java:602)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.OneInputStreamTask$StreamTaskNetworkOutput.emitWatermark(OneInputStreamTask.java:243)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.watermarkstatus.StatusWatermarkValve.findAndOutputNewMinWatermarkAcrossAlignedChannels(StatusWatermarkValve.java:199)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.watermarkstatus.StatusWatermarkValve.inputWatermark(StatusWatermarkValve.java:114)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput.processElement(AbstractStreamTaskNetworkInput.java:148)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.io.AbstractStreamTaskNetworkInput.emitNext(AbstractStreamTaskNetworkInput.java:110)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.io.StreamOneInputProcessor.processInput(StreamOneInputProcessor.java:65)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:550)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:231)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:839)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:788)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.runtime.taskmanager.Task.runWithSystemExitMonitoring(Task.java:952)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.runtime.taskmanager.Task.restoreAndInvoke(Task.java:931)
~[flink-dist-1.17.0.jar:1.17.0]
at
org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:745)
~[flink-dist-1.17.0.jar:1.17.0]
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:562)
~[flink-dist-1.17.0.jar:1.17.0]
at java.lang.Thread.run(Unknown Source) ~[?:?]
Caused by: org.apache.flink.util.WrappingRuntimeException: Failed to serialize
schema registry.
at
org.apache.flink.formats.avro.RegistryAvroSerializationSchema.serialize(RegistryAvroSerializationSchema.java:90)
~[?:?]
at
org.apache.flink.formats.avro.AvroRowDataSerializationSchema.serialize(AvroRowDataSerializationSchema.java:88)
~[?:?]
... 44 more
Caused by: java.io.IOException: Could not register schema in registry
at
org.apache.flink.formats.avro.registry.confluent.ConfluentSchemaRegistryCoder.writeSchema(ConfluentSchemaRegistryCoder.java:90)
~[?:?]
at
org.apache.flink.formats.avro.RegistryAvroSerializationSchema.serialize(RegistryAvroSerializationSchema.java:85)
~[?:?]
at
org.apache.flink.formats.avro.AvroRowDataSerializationSchema.serialize(AvroRowDataSerializationSchema.java:88)
~[?:?]
... 44 more
Caused by:
io.confluent.kafka.schemaregistry.client.rest.exceptions.RestClientException:
User is denied operation Write on Subject: my-topic-key; error code: 40301
at
io.confluent.kafka.schemaregistry.client.rest.RestService.sendHttpRequest(RestService.java:294)
~[?:?]
at
io.confluent.kafka.schemaregistry.client.rest.RestService.httpRequest(RestService.java:364)
~[?:?]
at
io.confluent.kafka.schemaregistry.client.rest.RestService.registerSchema(RestService.java:507)
~[?:?]
at
io.confluent.kafka.schemaregistry.client.rest.RestService.registerSchema(RestService.java:498)
~[?:?]
at
io.confluent.kafka.schemaregistry.client.rest.RestService.registerSchema(RestService.java:471)
~[?:?]
at
io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.registerAndGetId(CachedSchemaRegistryClient.java:221)
~[?:?]
at
io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.register(CachedSchemaRegistryClient.java:283)
~[?:?]
at
io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.register(CachedSchemaRegistryClient.java:259)
~[?:?]
at
io.confluent.kafka.schemaregistry.client.SchemaRegistryClient.register(SchemaRegistryClient.java:42)
~[?:?]
at
org.apache.flink.formats.avro.registry.confluent.ConfluentSchemaRegistryCoder.writeSchema(ConfluentSchemaRegistryCoder.java:85)
~[?:?]
at
org.apache.flink.formats.avro.RegistryAvroSerializationSchema.serialize(RegistryAvroSerializationSchema.java:85)
~[?:?]
at
org.apache.flink.formats.avro.AvroRowDataSerializationSchema.serialize(AvroRowDataSerializationSchema.java:88)
~[?:?]
... 44 more
I've inspected the code of the avro-confluent-registry format and it seems like
there is now way to disable this behavior. The format will always try to
register a schema when serializing a row:
https://github.com/apache/flink/blob/release-1.17.1/flink-formats/flink-avro/src/main/java/org/apache/flink/formats/avro/RegistryAvroSerializationSchema.java#L85
https://github.com/apache/flink/blob/release-1.17.1/flink-formats/flink-avro-confluent-registry/src/main/java/org/apache/flink/formats/avro/registry/confluent/ConfluentSchemaRegistryCoder.java#L85
Is there a particular reason for this or would you be interested in adding a
configuration option to disable this behavior?
Best regards,
Jannik
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