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https://issues.apache.org/jira/browse/FLINK-17961?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17118740#comment-17118740
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Etienne Chauchot commented on FLINK-17961:
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A question: I'm wondering if the source needs to implement
_CheckpointedFunction or related._ ES source will be of batch type, executing
an ES query storing the results and serving them one by one via the
context.collect. For such a source, is this important to store the elements
read so far in a checkpointed state in case of failure or should we just ignore
the checkpointing mechanism and re-read from ES in case of error?
> Create an Elasticsearch source
> ------------------------------
>
> Key: FLINK-17961
> URL: https://issues.apache.org/jira/browse/FLINK-17961
> Project: Flink
> Issue Type: New Feature
> Components: Connectors / ElasticSearch
> Reporter: Etienne Chauchot
> Priority: Minor
>
> There is only an Elasticsearch sink available. There are opensource github
> repos such as [this
> one|[https://github.com/mnubo/flink-elasticsearch-source-connector]]. Also
> the apache bahir project does not provide an Elasticsearch source connector
> for flink either. IMHO I think the project would benefit from having an
> bundled source connector for ES alongside with the available sink connector.
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