Last week, we appear the GA of HDF 3.1, and to allotment added capacity about this anniversary absolution we started the HDF 3.1 Blog Series. In this chapter of the series, we’ll allocution about a net new action account we added to HDF: the Nifi Registry, powered by Apache NiFi registry.
With the alternate command and ascendancy capabilities, as one of the cornerstones of Apache NiFi project, NiFi users can administer and adapt their assembly flows in real-time. However, for those who adopt to go through a software development lifecycle (SDLC) breeze deployment action for affection control, it is not as convenient. NiFi had abutment for application breeze templates to facilitate SDLC use cases for a continued time, but templates weren’t designed/optimized for that use case in the aboriginal place: no accessible adaptation ascendancy mechanism, not convenient for administration amid assorted teams, no administration for acute properties, etc. But, now with the NiFi registry, you can get adaptation control, collaboration, and accessible deployment – decidedly abridgement the SDLC process, and accelerating breeze deployment to accomplish faster time to value.
In HDF 3.1, NiFi anthology facilitates breeze clearing use cases by managing the accomplished lifecycle of a versioned flow, affective from DEV to QA to PROD. NiFi anthology is advised to be doubter to the blazon of persisted artifacts. As allotment of the HDF 3.1 release, breeze is the alone accurate artifact, but processors/extensions/referenceable datasets could all be persisted in the NiFi anthology bottomward the lane. The NiFi anthology can be installed via Ambari or alfresco of Ambari depending on the adopted array accessories mechanism.
Let’s airing through a quick archetype to added accept the ability of the NiFi registry, and how absolutely this can change the development lifecycle of NiFi flows.
First of all, accessible the NiFi anthology UI, and you can see a account of accessible buckets (see Fig.1). The ambition abaft buckets – I can actualize a cardinal of buckets mapping to my adapted analysis and alignment in my organization. They could be mapped to altered teams, altered deployment environments, altered acceptance patterns, or altered business units. I accept all the adaptability I need.
Notice that the buckets are not displayed in a hierarchical anatomy on the landing page, and rather the apprehension is, I can appearance a account of ‘recently added/modified artifacts.’ Adaptation breeze is one blazon of artifacts, adaptation processors/components/referenceable datasets could all be accessible in a consecutive release.
Fig.1: NiFi anthology UI & the abstraction of buckets
Now let’s go advanced and actualize a new bucket: demo-bucket, with associated admission behavior (Fig.2). You can collaborate with a brazier via either web browser or REST API. In HDF 3.1, Ranger affiliation isn’t accurate yet, but absolutely article we may abode in a consecutive release. But, we do abutment a cardinal of affidavit mechanisms: LDAP, kerberos, certificates, etc.
Fig.2: new brazier and admission policies
Now let’s accept a attending at how a NIFI instance can collaborate with a breeze registry. Aboriginal of all, go add a NiFi anthology applicant beneath all-around ambassador settings in your NiFi instance (Fig.3):
Fig. 3: NiFi anthology applicant beneath all-around ambassador settings
Flow adaptation ascendancy is authentic at action accumulation level, to be accumbent with our PG akin multi-tenant allotment model. Actualize a simple flow, and accept to ‘start adaptation control’ on the accustomed action accumulation (Fig.4). Aback you save/update any adaptation flow, a adaptation cardinal would be automatically assigned (Fig.5)
Fig. 4: alpha adaptation ascendancy for a accustomed action group
Fig.5: save adaptation flow
Once a breeze is accurately configured beneath adaptation control, you can see a blooming analysis mark on the high larboard bend (Fig.6). The figure will change aback you accept uncommitted bounded edits.
Fig.6: blooming checkmark advertence a NiFi breeze is beneath adaptation control
Now you can go aback to analysis the anthology UI, accessible the change log (Fig.7) for added details. Not alone you apperceive absolutely who fabricated the change, aback the change was made, you can additionally booty some accomplishments on a adaptation flow.
Fig.7: changelog of a adaptation flow
Now you can go to any added NiFi environments, QA/STAGING/PROD, and acceptation that adaptation by artlessly boring and bottomward a action accumulation on the canvas, and allotment ‘import from…’.
Last but not least, NOT aggregate on your breeze would be persisted in the NiFi registry. Acute backdrop are a acceptable example, as best bodies wouldn’t appetite their acute backdrop (which are acceptable ecology specific meanwhile) to be pulled into accession ambiance by a altered aggregation during the breeze clearing process. Let’s bound airing through those exceptions, as able-bodied as the basal argumentation abaft the scene. Specifically, we are talking about the afterward categories:
PG akin ambassador casework will be persisted in the version-controlled PG, but college akin ambassador casework actuality referenced in a version-controlled PG will NOT be agitated over to the ambition NiFi environment.
In an archetype scenario, accept PG-A is placed on the basis canvas, with adaptation ascendancy angry on. There are two PutHiveQL processors in PG-A. PutHiveQL-1 references the Hive adapter authentic at basis akin (inherited in PG-A), and PutHiveQL-2 references the Hive adapter authentic aural PG-A. Aback PG-A gets alien to PROD, PutHiveQL-2 would backpack over the referenced Hive adapter ambassador service, but PutHiveQL-1 would not. But as continued as you manually specify the adapted Hive adapter in PROD, you do not accept to do it afresh aback advance PG-A to a newer adaptation in PROD. Notice that, alike if you accept a root-level Hive adapter in PROD with the exact aforementioned name, that Hive adapter will not be referenced in PutHiveQL-1, until you manually configure it. This is all-important to ensure the adherence of breeze clearing to PROD, alike aback names are not unique.
Unlike how ambassador casework are actuality handled, aback you accept a missing CS you can get a processor-level admonishing message, you won’t get any admonishing bulletin if a college PG akin capricious actuality referenced in a processor is missing in your ambition NiFi environment. Therefore, during breeze migration, all the variables actuality referenced in the adaptation breeze would be alien to your ambition NiFi environment, but their hierarchical levels would be bedfast out unless there is an absolute capricious with the aforementioned key in the ambition environment.
In the antecedent archetype scenario, aback PG-A gets alien to PROD, both root-level variables and PG-level variables would be alien to PROD as PG-level variables. But if you accept pre-defined college akin variables with the aforementioned name, and could be inherited, those would be acclimated instead.
Sensitive backdrop would not be persisted as allotment of a adaptation flow, as you appetite to abstain accepting added association accidentally affairs the acute advice into their NiFi instance in a aggregate multi-tenancy environment. You charge to manually configure those while importing a adaptation breeze for the aboriginal time, but don’t accept to do it afresh aback advance your breeze to a newer version.
Remote action accumulation URLs
RPG URLs would be persisted as allotment of a adaptation flow. The amount would be automatically agitated over while importing a adaptation breeze for the aboriginal time. You can adapt the URL in your ambition environment, and that amount will not be overwritten aback advance your breeze to a newer adaptation with a altered RPG URL.
In the abutting chapter of the HDF 3.1 Blog Series, we altercate the accession of Kafka 1.0 and the agitative new HDF and Kafka integrations added to HDF 3.1.
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