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Joseph Witt commented on MINIFI-244: ------------------------------------ Ah ok yeah now I'm tracking on where you're heading. - i'm good with the point about consistency being good but not required between processors in minifi/nifi. And actually i can see why in minifi this processor could be the difference between being able to do a certain flow or not within a given resource constraint whereas in nifi it would be more useful than required. - the notion of this in general does make sense too. It is for when we just want to learn/understand/extract something buried inside a given archive to help us decide we want to route something a certain way for followon action (transformation/send/drop/etc..). And this could indeed be far faster for the cases it targets. - the downside of this is that it really struggles against the notion of highly cohesive processors. It would require a set of components which do lens type operations on a certain set of archive types which would duplicate other similar ones which expect the data already split out. We could possibly have a ControllerService instead which defines the lens and understands a given archive type and then have the base processors built to utilize that lens instead of just going after the raw object. Not sure but I think there is a concept there to play with. Anyway - this is pretty cool/innovative thinking. Glad you brought it up > Create ArchiveLens processor > ---------------------------- > > Key: MINIFI-244 > URL: https://issues.apache.org/jira/browse/MINIFI-244 > Project: Apache NiFi MiNiFi > Issue Type: Task > Components: C++, Extensions > Reporter: Andrew Christianson > Assignee: Andrew Christianson > Priority: Minor > > Create an ArchiveLens processor. A concise, though informal, definition of a > lens is as follows: > "Essentially, they represent the act of “peering into” or “focusing in on” > some particular piece/path of a complex data object such that you can more > precisely target particular operations without losing the context or > structure of the overall data you’re working with." > https://medium.com/@dtipson/functional-lenses-d1aba9e52254#.hdgsvbraq > Why an ArchiveLens in MiNiFi? Simply put, it will enable us to "focus in on" > an entry in the archive, perform processing *in-context* of that entry, then > re-focus on the overall archive. This allows for transformation or other > processing of an entry in the archive without losing the overall context of > the archive. > Initial format support is tar, due to its simplicity and ubiquity. -- This message was sent by Atlassian JIRA (v6.3.15#6346)