Do you know how they are overriding the method? Are they building their own
distribution of Flink with their own implementation of that method? I'd like to
avoid having to build that myself. I'd be interested in a solution in the
official release.
Von: Meissner, Dylan <dylan.t.meiss...@nordstrom.com>
Gesendet: Freitag, 30. Juni 2023 17:26
An: Martijn Visser <martijnvis...@apache.org>; Schmeier, Jannik
<j.schme...@fraport.de>
Cc: Schwalbe Matthias <matthias.schwa...@viseca.ch>; user@flink.apache.org
Betreff: Re: Using pre-registered schemas with avro-confluent-registry format
is not possible
This comes up when the Schema Registry has authorization capabilities.
A producing application may not be authorized to call “register” when another
principal owns the schema subject, for example in organizations with strong
schema governance practices. When ConfluentSchemaRegistryCoder.writeSchema is
invoked, these producers will receive HTTP 403 failures.
In these unfortunate cases, they are overriding writeSchema…
@Override
public void writeSchema(Schema schema, OutputStream out) throws IOException {
int registeredId = schemaRegistryClient.register(subject, schema);
out.write(CONFLUENT_MAGIC_BYTE);
byte[] schemaIdBytes = ByteBuffer.allocate(4).putInt(registeredId).array();
out.write(schemaIdBytes);
}
…by replacing “register()” with the schema lookup call, “getId()”
@Override
public void writeSchema(Schema schema, OutputStream out) throws IOException {
int registeredId = schemaRegistryClient.getId(subject, schema);
out.write(CONFLUENT_MAGIC_BYTE);
byte[] schemaIdBytes = ByteBuffer.allocate(4).putInt(registeredId).array();
out.write(schemaIdBytes);
}
Dylan
From: Martijn Visser <martijnvis...@apache.org<mailto:martijnvis...@apache.org>>
Date: Monday, June 5, 2023 at 7:45 AM
To: Schmeier, Jannik <j.schme...@fraport.de<mailto:j.schme...@fraport.de>>
Cc: Schwalbe Matthias
<matthias.schwa...@viseca.ch<mailto:matthias.schwa...@viseca.ch>>,
user@flink.apache.org<mailto:user@flink.apache.org>
<user@flink.apache.org<mailto:user@flink.apache.org>>
Subject: Re: Using pre-registered schemas with avro-confluent-registry format
is not possible
Caution: EXTERNAL EMAIL ALERT. This sender is not from your organization. If
you do not recognize the sender, DO NOT CLICK on links or attachments.
Hi Jannik,
Can you share how you've set those properties, because I've been able to use
this without any problems.
Best regards,
Martijn
On Thu, Jun 1, 2023 at 2:43 PM Schmeier, Jannik
<j.schme...@fraport.de<mailto:j.schme...@fraport.de>> wrote:
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<mailto:matthias.schwa...@viseca.ch>>
Gesendet: Mittwoch, 31. Mai 2023 13:33
An: Schmeier, Jannik <j.schme...@fraport.de<mailto:j.schme...@fraport.de>>;
user@flink.apache.org<mailto: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://protect2.fireeye.com/v1/url?k=31323334-501cfaeb-3130e0a1-454455535732-7390c701ed1b735f&q=1&e=10d0bc8a-494c-411b-8ee0-ba0c9041d581&u=https%3A%2F%2Fgithub.com%2Fapache%2Fflink%2Fblob%2Frelease-1.17.1%2Fflink-formats%2Fflink-avro%2Fsrc%2Fmain%2Fjava%2Forg%2Fapache%2Fflink%2Fformats%2Favro%2FRegistryAvroSerializationSchema.java%23L85>
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<https://protect2.fireeye.com/v1/url?k=31323334-501cfaeb-3130e0a1-454455535732-e472ad0314ef54c8&q=1&e=10d0bc8a-494c-411b-8ee0-ba0c9041d581&u=https%3A%2F%2Fgithub.com%2Fapache%2Fflink%2Fblob%2Frelease-1.17.1%2Fflink-formats%2Fflink-avro-confluent-registry%2Fsrc%2Fmain%2Fjava%2Forg%2Fapache%2Fflink%2Fformats%2Favro%2Fregistry%2Fconfluent%2FConfluentSchemaRegistryCoder.java%23L85>
Is there a particular reason for this or would you be interested in adding a
configuration option to disable this behavior?
Best regards,
Jannik
Diese Nachricht ist ausschliesslich für den Adressaten bestimmt und beinhaltet
unter Umständen vertrauliche Mitteilungen. Da die Vertraulichkeit von
e-Mail-Nachrichten nicht gewährleistet werden kann, übernehmen wir keine
Haftung für die Gewährung der Vertraulichkeit und Unversehrtheit dieser
Mitteilung. Bei irrtümlicher Zustellung bitten wir Sie um Benachrichtigung per
e-Mail und um Löschung dieser Nachricht sowie eventueller Anhänge. Jegliche
unberechtigte Verwendung oder Verbreitung dieser Informationen ist streng
verboten.
This message is intended only for the named recipient and may contain
confidential or privileged information. As the confidentiality of email
communication cannot be guaranteed, we do not accept any responsibility for the
confidentiality and the intactness of this message. If you have received it in
error, please advise the sender by return e-mail and delete this message and
any attachments. Any unauthorised use or dissemination of this information is
strictly prohibited.
