如何使用 confluent 从 kafka 主题到 elasticsearch？
How get the stream from kafka topic to elasticsearch with confluent?
我从机器读取数据并将其作为 JSON 流式传输到 kafka 主题。我想阅读此主题并将流数据存储到 elasticsearch 中。
我的步骤：
1. 创建 KSQL Streams 以从 JSON 转换为 AVRO
json 流：
CREATE STREAM source_json_pressure
(
timestamp BIGINT,
opcuaObject VARCHAR,
value DOUBLE
)
WITH (KAFKA_TOPIC='7d12h100mbpressure',
VALUE_FORMAT='JSON');
avro 流：
CREATE STREAM target_avro_pressure
WITH (
KAFKA_TOPIC='7d12h100mbpressure_avro',
VALUE_FORMAT='AVRO'
) AS
SELECT * FROM source_json_pressure;
在此之后我得到了这个 avro 流：
ksql> print "7d12h100mbpressure_avro";
Format:AVRO
23.04.19 19:29:58 MESZ, jK?C, {"TIMESTAMP": 1556040449728, "OPCUAOBJECT": "DatLuDrUeb.EinDru", "VALUE": 7.42}
我的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
在此之后我期待 ES 中的流，但我得到的是没有流数据的索引。
我哪里弄错了？
来自合流日志连接的错误：
[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$convertAndTransformRecord[=14=](WorkerSinkTask.java:484)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)
... 13 more
Caused by: org.apache.kafka.common.errors.SerializationException: Error retrieving Avro schema for id 92747
Caused by: io.confluent.kafka.schemaregistry.client.rest.exceptions.RestClientException: Schema not found; error code: 40403
at io.confluent.kafka.schemaregistry.client.rest.RestService.sendHttpRequest(RestService.java:226)
at io.confluent.kafka.schemaregistry.client.rest.RestService.httpRequest(RestService.java:252)
at io.confluent.kafka.schemaregistry.client.rest.RestService.getId(RestService.java:482)
at io.confluent.kafka.schemaregistry.client.rest.RestService.getId(RestService.java:475)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getSchemaByIdFromRegistry(CachedSchemaRegistryClient.java:151)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getBySubjectAndId(CachedSchemaRegistryClient.java:230)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.getById(CachedSchemaRegistryClient.java:209)
at io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer.deserialize(AbstractKafkaAvroDeserializer.java:116)
at io.confluent.kafka.serializers.AbstractKafkaAvroDeserializer.deserializeWithSchemaAndVersion(AbstractKafkaAvroDeserializer.java:215)
at io.confluent.connect.avro.AvroConverter$Deserializer.deserialize(AvroConverter.java:145)
at io.confluent.connect.avro.AvroConverter.toConnectData(AvroConverter.java:90)
at org.apache.kafka.connect.runtime.WorkerSinkTask.lambda$convertAndTransformRecord[=14=](WorkerSinkTask.java:484)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndRetry(RetryWithToleranceOperator.java:128)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execAndHandleError(RetryWithToleranceOperator.java:162)
at org.apache.kafka.connect.runtime.errors.RetryWithToleranceOperator.execute(RetryWithToleranceOperator.java:104)
at org.apache.kafka.connect.runtime.WorkerSinkTask.convertAndTransformRecord(WorkerSinkTask.java:484)
at org.apache.kafka.connect.runtime.WorkerSinkTask.convertMessages(WorkerSinkTask.java:464)
at org.apache.kafka.connect.runtime.WorkerSinkTask.poll(WorkerSinkTask.java:320)
at org.apache.kafka.connect.runtime.WorkerSinkTask.iteration(WorkerSinkTask.java:224)
at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:192)
at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:175)
at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:219)
at java.util.concurrent.Executors$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)
我的 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
您从 Elasticsink 设置了 key.ignore=true，但是，这不会阻止 Connect 尝试反序列化记录。
当您只执行 confluent start 时，它将始终对键和值转换器使用 AvroConverter。
值得一提的是，我认为，KSQL 中的VALUE_FORMAT='AVRO' 仅使value 成为Avro，而不是密钥。
其中一个原因可能解释了为什么您会看到
- 未找到主题
- 未找到架构
- 检索 id 的 Avro 架构时出错
要解决此问题，在您的 elasticsearch.properties 中，您可以将 key.converter 覆盖为其他内容，例如 org.apache.kafka.connect.storage.StringConverter
此外，我建议使用 kafka-avro-console-consumer 并包括 --property print.key=true 选项，而不是使用 Connect+KSQL 进行调试，以查看您是否会遇到类似的错误。
我从机器读取数据并将其作为 JSON 流式传输到 kafka 主题。我想阅读此主题并将流数据存储到 elasticsearch 中。
我的步骤： 1. 创建 KSQL Streams 以从 JSON 转换为 AVRO
json 流：
CREATE STREAM source_json_pressure
(
timestamp BIGINT,
opcuaObject VARCHAR,
value DOUBLE
)
WITH (KAFKA_TOPIC='7d12h100mbpressure',
VALUE_FORMAT='JSON');
avro 流：
CREATE STREAM target_avro_pressure
WITH (
KAFKA_TOPIC='7d12h100mbpressure_avro',
VALUE_FORMAT='AVRO'
) AS
SELECT * FROM source_json_pressure;
在此之后我得到了这个 avro 流：
ksql> print "7d12h100mbpressure_avro";
Format:AVRO
23.04.19 19:29:58 MESZ, jK?C, {"TIMESTAMP": 1556040449728, "OPCUAOBJECT": "DatLuDrUeb.EinDru", "VALUE": 7.42}
我的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
在此之后我期待 ES 中的流，但我得到的是没有流数据的索引。
我哪里弄错了？
来自合流日志连接的错误：
[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[=14=](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[=14=](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)
我的 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
您从 Elasticsink 设置了 key.ignore=true，但是，这不会阻止 Connect 尝试反序列化记录。
当您只执行 confluent start 时，它将始终对键和值转换器使用 AvroConverter。
值得一提的是，我认为，KSQL 中的VALUE_FORMAT='AVRO' 仅使value 成为Avro，而不是密钥。
其中一个原因可能解释了为什么您会看到
- 未找到主题
- 未找到架构
- 检索 id 的 Avro 架构时出错
要解决此问题，在您的 elasticsearch.properties 中，您可以将 key.converter 覆盖为其他内容，例如 org.apache.kafka.connect.storage.StringConverter
此外，我建议使用 kafka-avro-console-consumer 并包括 --property print.key=true 选项，而不是使用 Connect+KSQL 进行调试，以查看您是否会遇到类似的错误。