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Aiven Connector issue with Elastic Search Version 7.4.0 #11

@sumeethtewar

Description

@sumeethtewar

Hello,

I deployed Elastic search version 7.4.0 on Azure, and I am using Aiven Kafka + Aiven Schema Registry + Aiven Kafka Connect for copying my messages from Kafka topic to the deployed Elastic Search.

connector configuration:

{
    "name": "engagement-aggregate-sink",
    "connector.class": "io.confluent.connect.elasticsearch.ElasticsearchSinkConnector",
    "tasks.max": "24",
    "key.converter": "org.apache.kafka.connect.storage.StringConverter",
    "value.converter": "io.confluent.connect.avro.AvroConverter",
    "transforms": "ExtractTenantId,IndexRouter",
    "errors.retry.timeout": "0",
    "errors.retry.delay.max.ms": "60000",
    "errors.tolerance": "all",
    "errors.log.enable": "true",
    "errors.log.include.messages": "true",
    "topics": "customer-journey-engagement-aggregate",
    "errors.deadletterqueue.topic.name": "customer-journey-engagement-aggregate-deadletterqueue",
    "errors.deadletterqueue.topic.replication.factor": "1",
    "errors.deadletterqueue.context.headers.enable": "true",
    "connection.url": "ES_URL",
    "connection.username":"USERNAME",
    "connection.password":"PASSWORD",
    "batch.size": "10000",
    "max.in.flight.requests": "3",
    "max.buffered.records": "1000",
    "linger.ms": "100",
    "flush.timeout.ms": "20000",
    "max.retries": "10",
    "retry.backoff.ms": "1000",
    "connection.timeout.ms": "1000",
    "read.timeout.ms": "1000",
    "type.name": "_doc",
    "key.ignore": "false",
    "schema.ignore": "true",
    "compact.map.entries": "false",
    "drop.invalid.message": "true",
    "behavior.on.null.values": "ignore",
    "behavior.on.malformed.documents": "warn",
    "transforms.IndexRouter.timestamp.format": "YYYYMM",
    "transforms.ExtractTenantId.type": "io.aiven.kafka.connect.transforms.ExtractTopic$Value",
    "transforms.ExtractTenantId.skip.missing.or.null": "false",
    "transforms.ExtractTenantId.field.name": "tenantId",
    "transforms.IndexRouter.topic.format": "engagement-${topic}-${timestamp}",
    "transforms.IndexRouter.type": "org.apache.kafka.connect.transforms.TimestampRouter",
    "value.converter.schema.registry.url": "KAFKA_URL",
    "value.converter.basic.auth.credentials.source":"USER_INFO",
    "value.converter.basic.auth.user.info":"UNM:PWD",
    "value.converter.max.schemas.per.subject": "1000",
    "value.converter.value.subject.name.strategy": "io.confluent.kafka.serializers.subject.RecordNameStrategy",
    "value.converter.auto.register.schemas": "false"
}

Even if I use both the sink connector versions 5.0.3 and 6.0.3 it throws the same exception as shown below:

java.lang.NullPointerException
	at io.confluent.connect.elasticsearch.jest.JestElasticsearchClient.getServerVersion(JestElasticsearchClient.java:179)
	at io.confluent.connect.elasticsearch.jest.JestElasticsearchClient.<init>(JestElasticsearchClient.java:148)
	at io.confluent.connect.elasticsearch.jest.JestElasticsearchClient.<init>(JestElasticsearchClient.java:117)
	at io.confluent.connect.elasticsearch.ElasticsearchSinkTask.start(ElasticsearchSinkTask.java:123)
	at io.confluent.connect.elasticsearch.ElasticsearchSinkTask.start(ElasticsearchSinkTask.java:52)
	at org.apache.kafka.connect.runtime.WorkerSinkTask.initializeAndStart(WorkerSinkTask.java:304)
	at org.apache.kafka.connect.runtime.WorkerSinkTask.execute(WorkerSinkTask.java:195)
	at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:184)
	at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:234)
	at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515)
	at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264)
	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128)
	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628)
	at java.base/java.lang.Thread.run(Thread.java:834)

If I use the Aiven Managed Elastic Search everything works fine.
Could you please help figure out, what is the issue in using a elastic search service deployed on Azure?

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