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https://issues.apache.org/jira/browse/NIFI-3709?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16285293#comment-16285293
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ASF GitHub Bot commented on NIFI-3709:
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GitHub user ijokarumawak opened a pull request:
https://github.com/apache/nifi/pull/2335
NIFI-3709: Export NiFi flow dataset lineage to Apache Atlas
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This closes #2335
----
commit d710ceee0fd6076c9bac90f0e3b55f5bb990bd33
Author: Koji Kawamura <[email protected]>
Date: 2017-10-30T03:41:27Z
NIFI-3709: Export NiFi flow dataset lineage to Apache Atlas
----
> 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
>
> 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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