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https://issues.apache.org/jira/browse/COMDEV-349?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17049976#comment-17049976
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Kirill Yankov commented on COMDEV-349:
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I would like to work on this as part of GSoC project.
> RocketMQ Connect Elasticsearch
> ------------------------------
>
> Key: COMDEV-349
> URL: https://issues.apache.org/jira/browse/COMDEV-349
> Project: Community Development
> Issue Type: Wish
> Components: GSoC/Mentoring ideas
> Reporter: duheng
> Priority: Major
> Labels: RocketMQ, gsoc2020
>
> h3. Content
> The Elasticsearch sink connector allows moving data from Apache RocketMQ to
> Elasticsearch 6.x, and 7.x. It writes data from a topic in Apache RocketMQ to
> an index in Elasticsearch and all data for a topic have the same type.
> [Elasticsearch|https://www.elastic.co/] is often used for text queries,
> analytics and as an key-value store (use cases). The connector covers both
> the analytics and key-value store use cases.
> For the analytics use case, each message is in RocketMQ is treated as an
> event and the connector uses topic+message queue+offset as a unique
> identifier for events, which then converted to unique documents in
> Elasticsearch. For the key-value store use case, it supports using keys from
> RocketMQ messages as document ids in Elasticsearch and provides
> configurations ensuring that updates to a key are written to Elasticsearch in
> order.
> So, in this project, you need to implement a sink connector based on
> OpenMessaging connect API, and will executed on RocketMQ connect runtime.
> h3. You should learn before applying for this topic
> [Elasticsearch|https://www.elastic.co/]/[Apache
> RocketMQ|https://rocketmq.apache.org/]/[Apache RocketMQ
> Connect|https://github.com/apache/rocketmq-externals/tree/master/rocketmq-connect]/
> [OpenMessaging Connect
> API|https://github.com/openmessaging/openmessaging-connect]
> h3. Mentor
> [[email protected]|mailto:[email protected]],
> [[email protected]|mailto:[email protected]]
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