How to configure Kafka Connect API for Dynamic Index Elasticsearch?

Question

Hello Everyone I have a case when I am using Kafka Connect API for sinking my data to an Elasticsearch. Right now I have a problem with this. My configuration file is very simple

name=elasticsearch-sink
connector.class=io.confluent.connect.elasticsearch.ElasticsearchSinkConnector
tasks.max=5
topics=myTopicKafka
topic.index.map=myTopicKafka:myIndexES-1
schema.ignore=true
key.ignore=true
connection.url=http://elasticsearch:9200
type.name=kafka-connect
batch.size=200
#linger.ms=500

But in ES I am using Curator for roll over the index

actions:
  # 1:
  #   action: create_index
  #   description: 'Create mwe.resource.locate index'
  #   options:
  #     name: 'myIndexES-1-%Y-%m-%d-1'
  2:
    action: rollover
    description: >-
      Rollover the index associated with alias 'myIndexES', after exceeds 500MB memory or is a day old
    options:
      name: all_myIndexES
      conditions:
        max_age: 1d
        max_size: 500mb

This is creating a new Index every 500MB but with the Index name with myIndexES-00002, myIndexES-00003 and so on. So my question in here is how to support this with Kafka Connect API

Answer 1

When using the Rollover API , you're supposed to write to an alias pointing at a single index.

This means that in your elasticsearch-sink configuration, you should have this instead:

topic.index.map=myTopicKafka:myIndexES-write

And in your Curator configuration , you should have a name property with the name of your alias.

options:
  name: 'myIndexES-write'