Hi,
so I'm a confluent newbie and this is what I'm trying to do:
Kafka topic on remote server encoded as schema-less JSON* => Confluent Kafka S3 Connector => convert to Avro => save to S3
*example: {"timestamp":"1497347711"}
So, basically I'm reading plain JSON from Kafka and I want to store the data as Avro in S3.
These are my configs:
etc/kafka-connect-s3/quickstart-s3.properties:
name=s3-sink
connector.class=io.confluent.connect.s3.S3SinkConnector
tasks.max=1
topics=json-timestamp
s3.region=eu-west-1
s3.bucket.name=ccp-confluent-kafka-connect-s3-testing
s3.part.size=5242880
flush.size=3
storage.class=io.confluent.connect.s3.storage.S3Storage
format.class=io.confluent.connect.s3.format.avro.AvroFormat
schema.generator.class=io.confluent.connect.storage.hive.schema.DefaultSchemaGenerator
partitioner.class=io.confluent.connect.storage.partitioner.DefaultPartitioner
key.converter.schemas.enable=false
value.converter.schemas.enable=false
schema.ignore=true
schema.compatibility=NONE
etc/schema-registry/connect-avro-standalone.properties:
key.converter=io.confluent.connect.avro.AvroConverter
key.converter.schema.registry.url=http://localhost:8081
value.converter=io.confluent.connect.avro.AvroConverter
value.converter.schema.registry.url=http://localhost:8081
internal.key.converter=org.apache.kafka.connect.json.JsonConverter
internal.value.converter=org.apache.kafka.connect.json.JsonConverter
internal.key.converter.schemas.enable=false
internal.value.converter.schemas.enable=false
offset.storage.file.filename=/tmp/connect.offsets
However, I'm getting an error (io.confluent.kafka.serializers.NonRecordContainer cannot be cast to org.apache.avro.generic.IndexedRecord):
bin/connect-standalone etc/schema-registry/connect-json-standalone.properties etc/kafka-connect-s3/quickstart-s3.properties:
[2017-06-13 12:19:38,959] ERROR Task s3-sink-0 threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerSinkTask:449)
org.apache.avro.file.DataFileWriter$AppendWriteException: java.lang.ClassCastException: io.confluent.kafka.serializers.NonRecordContainer cannot be cast to org.apache.avro.generic.IndexedRecord
at org.apache.avro.file.DataFileWriter.append(DataFileWriter.java:296)
at io.confluent.connect.s3.format.avro.AvroRecordWriterProvider$1.write(AvroRecordWriterProvider.java:77)
at io.confluent.connect.s3.TopicPartitionWriter.writeRecord(TopicPartitionWriter.java:328)
at io.confluent.connect.s3.TopicPartitionWriter.write(TopicPartitionWriter.java:191)
at io.confluent.connect.s3.S3SinkTask.put(S3SinkTask.java:163)
at org.apache.kafka.connect.runtime.WorkerSinkTask.deliverMessages(WorkerSinkTask.java:429)
at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:250)
at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:179)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:148)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:139)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:182)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:473)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.ClassCastException: io.confluent.kafka.serializers.NonRecordContainer cannot be cast to org.apache.avro.generic.IndexedRecord
at org.apache.avro.generic.GenericData.getField(GenericData.java:580)
at org.apache.avro.generic.GenericData.getField(GenericData.java:595)
at org.apache.avro.generic.GenericDatumWriter.writeField(GenericDatumWriter.java:112)
at org.apache.avro.generic.GenericDatumWriter.writeRecord(GenericDatumWriter.java:104)
at org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:66)
at org.apache.avro.generic.GenericDatumWriter.write(GenericDatumWriter.java:58)
at org.apache.avro.file.DataFileWriter.append(DataFileWriter.java:290)
... 15 more
I assume, that the message should have a schema ID and that the schema should be registered in the schema registry, I just don't know how to do this, since I cannot find proper code samples.
Any help is highly appreciated.
Best,
David