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https://issues.apache.org/jira/browse/NIFI-3709?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15982308#comment-15982308
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ASF GitHub Bot commented on NIFI-3709:
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Github user joewitt commented on the issue:
https://github.com/apache/nifi/pull/1676
@ijokarumawak so i see where this is heading and i get how it can help.
That said, given expression language and such things I'm concerned just how
much real flow information can be gleaned at design time (like this is looking
this in looking at the flow defn itself) versus runtime using the provenance
data itself. The current approach has some important limitations like the
processors which can be supported have to explicitly referenced in code for
now. The runtime approach using provenance events obviously has scale concerns
but perhaps that is more correct and warrants further review. What do you
think?
> Export NiFi flow dataset lineage to Apache Atlas
> ------------------------------------------------
>
> Key: NIFI-3709
> URL: https://issues.apache.org/jira/browse/NIFI-3709
> Project: Apache NiFi
> Issue Type: Improvement
> Components: Extensions
> Reporter: Koji Kawamura
> Assignee: Koji Kawamura
> Fix For: 1.2.0
>
>
> While Apache NiFi has provenance and event level lineage support within its
> data flow, Apache Atlas also does manage lineage between dataset and process
> those interacting with such data.
> It would be beneficial for users who use both NiFi and Atlas and if they can
> see end-to-end data lineage on Atlas lineage graph, as some type of dataset
> are processed by both NiFi and technologies around Atlas such as Storm,
> Falcon or Sqoop. For example, Kafka topics and Hive tables.
> In order to make this integration happen, I propose a NiFi reporting task
> that analyzes NiFi flow then creates DataSet and Process entities in Atlas.
> The challenge is how to design NiFi flow dataset level lineage within Atlas
> lineage graph.
> If we just add a single NiFi process and connect every DataSet from/to it, it
> would be too ambiguous since it won't be clear which part of a NiFi flow
> actually interact with certain dataset.
> But if we put every NiFi processor as independent process in Atlas, it would
> be too granular, too. Also, we already have detailed event level lineage in
> NiFi, we wouldn't need the same level in Atlas.
> If we can group certain processors in a NiFI flow as a process in Atlas, it
> would be a nice granularity.
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