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https://issues.apache.org/jira/browse/GORA-546?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16806180#comment-16806180
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Kevin Ratnasekera commented on GORA-546:
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[~LahiruJayasekara] We use Hazelcast as the JCache provider in JCache Module.
That is why we have added that dependency to tutorial. Right now Hazelcast
JCache provider is tightly coupled to Gora. So we cannot use other JCache
providers available at least for now. This will be fixed later release. There s
already logged Jira for that.
Regarding your dependency issue, I think hazelcast-jet may have transitive
dependencies from hazelcast-all. You may end up with conflicts if you import
both. For now what I can suggest is create a new module and add only jet
dependencies to that new module. When you define jet dependencies, use
dependency management section in gora parent pom, then only refer only what is
required in you new module dependencies section.
Also do your research on why we end up with that error and how we can properly
fix this dependency issue for both JCache module and new module later. :)
I think you should now invest your time on the proposal and April 9 is
deadline.
Regards
Kevin
> Hazelcast Jet execution engine support
> --------------------------------------
>
> Key: GORA-546
> URL: https://issues.apache.org/jira/browse/GORA-546
> Project: Apache Gora
> Issue Type: New Feature
> Reporter: Kevin Ratnasekera
> Priority: Major
> Labels: gsoc2019
>
> Now Apache Gora supports Map Reduce and Spark engines. May we should extend
> this with Hazelcast Jet. [1][2] Feature should include writing custom source
> and sink connectors [3] which can write / read data from / to Apache Gora
> data stores.
> [1] [https://jet.hazelcast.org/use-cases/fast-batch-processing/]
> [2] [https://github.com/hazelcast/hazelcast-jet]
> [3] https://jet.hazelcast.org/connectors/batch-connectors/
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