I'm read data from machine and stream it as JSON to a kafka topic. I would like to read this topic and store the streamdata into elasticsearch with confluent.
My steps: 1. Create KSQL Streams to convert from JSON to AVRO
json stream:
CREATE STREAM source_json_pressure
(
timestamp BIGINT,
opcuaObject VARCHAR,
value DOUBLE
)
WITH (KAFKA_TOPIC='7d12h100mbpressure',
VALUE_FORMAT='JSON');
avro stream:
CREATE STREAM target_avro_pressure
WITH (
KAFKA_TOPIC='7d12h100mbpressure_avro',
VALUE_FORMAT='AVRO'
) AS
SELECT * FROM source_json_pressure;
after this i get this avro stream:
ksql> print "7d12h100mbpressure_avro";
Format:AVRO
23.04.19 19:29:58 MESZ, jK?C, {"TIMESTAMP": 1556040449728, "OPCUAOBJECT": "DatLuDrUeb.EinDru", "VALUE": 7.42}
My elasticsearch.properties:
15 name=elasticsearch-sink
16 connector.class=io.confluent.connect.elasticsearch.ElasticsearchSinkConnector
17 tasks.max=1
18 topics=7d12h100mbpressure_avro
19 key.ignore=true
20 connection.url=http://localhost:9200
21 type.name=kafka-connect
After this i expect the stream in ES but i get the indices without the streamdata.
Where i make mistake?
ERRORS from confluent log connect:
[2019-04-24 11:01:29,316] INFO [Consumer clientId=consumer-4, groupId=connect-elasticsearch-sink] Setting newly assigned partitions: 7d12h100mbpressure_avro-3, 7d12h100mbpressure_avro-2, 7d12h100mbpressure_avro-1, 7d12h100mbpressure_avro-0 (org.apache.kafka.clients.consumer.internals.ConsumerCoordinator:290)
[2019-04-24 11:01:29,327] INFO [Consumer clientId=consumer-4, groupId=connect-elasticsearch-sink] Resetting offset for partition 7d12h100mbpressure_avro-3 to offset 0. (org.apache.kafka.clients.consumer.internals.Fetcher:584)
[2019-04-24 11:01:29,327] INFO [Consumer clientId=consumer-4, groupId=connect-elasticsearch-sink] Resetting offset for partition 7d12h100mbpressure_avro-2 to offset 0. (org.apache.kafka.clients.consumer.internals.Fetcher:584)
[2019-04-24 11:01:29,327] INFO [Consumer clientId=consumer-4, groupId=connect-elasticsearch-sink] Resetting offset for partition 7d12h100mbpressure_avro-1 to offset 0. (org.apache.kafka.clients.consumer.internals.Fetcher:584)
[2019-04-24 11:01:29,328] INFO [Consumer clientId=consumer-4, groupId=connect-elasticsearch-sink] Resetting offset for partition 7d12h100mbpressure_avro-0 to offset 0. (org.apache.kafka.clients.consumer.internals.Fetcher:584)
[2019-04-24 11:01:29,667] ERROR WorkerSinkTask{id=elasticsearch-sink-0} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask:177)
org.apache.kafka.connect.errors.ConnectException: Tolerance exceeded in error handler
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:178)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)
at org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:484)
at org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:464)
at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:320)
at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:224)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:192)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.kafka.connect.errors.DataException: Failed to deserialize data for topic 7d12h100mbpressure_avro to Avro:
at io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:107)
at org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$0(WorkerSinkTask.java:484)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)
... 13 more
Caused by: org.apache.kafka.common.errors.SerializationException: Error retrieving Avro schema for id 92747
Caused by: io.confluent.kafka.schemaregistry.client.rest.exceptions.RestClientException: Schema not found; error code: 40403
at io.confluent.kafka.schemaregistry.client.rest.RestService.sendHttpRequest(RestService.java:226)
at io.confluent.kafka.schemaregistry.client.rest.RestService.httpRequest(RestService.java:252)
at io.confluent.kafka.schemaregistry.client.rest.RestService.getId(RestService.java:482)
at io.confluent.kafka.schemaregistry.client.rest.RestService.getId(RestService.java:475)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaByIdFromRegistry(CachedSchemaRegistryClient.java:151)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getBySubjectAndId(CachedSchemaRegistryClient.java:230)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getById(CachedSchemaRegistryClient.java:209)
at io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer.deserialize(AbstractKafkaAvroDeserializer.java:116)
at io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer.deserializeWithSchemaAndVersion(AbstractKafkaAvroDeserializer.java:215)
at io.confluent.connect.avro.AvroConverter$Deserializer.deserialize(AvroConverter.java:145)
at io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:90)
at org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord$0(WorkerSinkTask.java:484)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)
at org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:484)
at org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:464)
at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:320)
at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:224)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:192)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
[2019-04-24 11:01:29,668] ERROR WorkerSinkTask{id=elasticsearch-sink-0} Task is being killed and will not recover until manually restarted (org.apache.kafka.connect.runtime.WorkerTask:178)
My connect-avro-distributed.properties:
# Bootstrap Kafka servers. If multiple servers are specified, they should be comma-separated.
bootstrap.servers=localhost:9092
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
config.storage.topic=connect-configs
offset.storage.topic=connect-offsets
status.storage.topic=connect-statuses
config.storage.replication.factor=1
offset.storage.replication.factor=1
status.storage.replication.factor=1
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
You set key.ignore=true from the Elasticsink, however, that doesn't stop Connect from try to deserialize the record.
When you just do confluent start, it'll always uses AvroConverter for both key and value converters.
It's worth mentioning that, VALUE_FORMAT='AVRO' in KSQL only makes the value as Avro, I believe, not the key.
One of those reasons might explain why you see one of
To workaround this, in your elasticsearch.properties you can override key.converter to be something else like org.apache.kafka.connect.storage.StringConverter
Also, rather than debugging with Connect+KSQL, I suggest using kafka-avro-console-consumer and including the --property print.key=true option to see if you get a similar error.