Apache NiFi (Cloudera DataFlow) | Become an expert with Free Online Tutorial
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Apache NiFi (Cloudera DataFlow) | Become an expert with Free Online Tutorial

Last updated on 17th Jan 2022, Blog, Tutorials

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Smita Jhingran (Big Data Engineer )

Smita Jhingran provides in-depth presentations on various big data technologies. She specializes in Docker, Hadoop, Microservices, MiNiFi, Cloudera, Commvault, and BI tools with 5+ years of experience.

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    • What is Apache NiFi?
    • Why do we use Apache NiFi?
    • Elements of Apache NiFi
    • Apache NiFi Architecture
    • Key concepts of Apache NiFi
    • Apache NiFi User Interface
    • Processors Categorization in Apache NiFi
    • How to introduce Apache NiFi?
    • Advantages of Apache NiFi
    • Conclusion

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      What is Apache NiFi?

      Apache NiFi is a hearty, versatile, and dependable framework that is utilized to process and disperse information. It is worked to computerize the exchange of information between frameworks.

      NiFi offers an electronic User Interface for making, checking, and controlling information streams. NiFi represents Niagara Files that was created by National Security Agency (NSA) however presently it is kept up with by the Apache establishment.

      Apache NiFi
      Apache NiFi

      Apache NiFi is an electronic UI stage where we really want to characterize the source, objective, and processor for information assortment, information stockpiling, and information transmission, separately.

      Every processor in the NiFi has relations that are utilized while associating one processor to another.

      Why do we use Apache NiFi?

      Apache NiFi
      Apache NiFi

      Apache NiFi is open-source; along these lines, it is unreservedly accessible on the lookout. It upholds a few information designs, like social feeds, geological area, logs, and so forth Apache NiFi upholds a wide assortment of conventions like SFTP, KAFKA, HDFS, and so forth that makes this stage more famous in the IT business. There are such countless motivations to pick Apache NiFi. They are as per the following.

    • Apache NiFi assists associations with incorporating NiFi with their current framework.
    • It permits clients to utilize Java biological system works and existing libraries.
    • It gives ongoing control that empowers the client to deal with the progression of information between any source, processor, and objective.
    • It assists with picturing DataFlow at the undertaking level.
    • It assists with conglomerating, change, course, bring, tunes in, split, and simplified the information stream.
    • It permits clients to begin and stop parts at individual and gathering levels.
    • NiFi empowers clients to pull the information from different sources to NiFi and permits them to make stream documents.
    • It is intended to scale out in groups that give ensured conveyance of information.
    • Imagine and screen execution, conduct in the stream announcement that offers inline and understanding documentation.

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      Elements of Apache NiFi :-

      The elements of Apache NiFi are as per the following:

      Elements of Apache NiFi
      Elements of Apache NiFi
    • Apache NiFi is an online User Interface that offers a consistent encounter of configuration, screen, control, and input.
    • It even gives an information provenance module that assists with following and screen information from the source to the objective of the information stream.
    • Designers can make their modified processors and detailing undertakings according to the necessities.
    • It upholds investigating and stream advancement.
    • It empowers fast turn of events and testing viably.
    • It gives content encryption and correspondence over a safe convention.
    • It upholds buffering of all lined information and gives a capacity of backpressure as the lines can arrive at determined cutoff points.
    • Apache NiFi conveys a framework to the client, the client to the framework, and multi-occupant validation security highlights.

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      Apache NiFi Architecture :-

      Apache NiFi Architecture incorporates a web server, stream regulator, and processor that sudden spikes in demand for a Java Virtual Machine (JVM). It has three vaults like FlowFile Repository, Content Repository, and Provenance Repository.

      Web Server

      Web Server is utilized to have the HTTP-based order and control API.

      Stream Controller

      The stream regulator is the cerebrum of the activity. It offers strings for augmentations to run and deal with the timetable of when the expansions get assets to run.


      A few sorts of NiFi augmentations are characterized in different records. Expansions are utilized to work and execute inside the JVM.

      FlowFile Repository

      The FlowFile Repository incorporates the present status and quality of each FlowFile that goes through the information stream of NiFi.It monitors the express that is dynamic in the stream right now. The standard methodology is the nonstop Write-Ahead Log which is situated in a portrayed circle segment.

      Content Repository

      The Content Repository is utilized to store every one of the information present in the stream documents. The default approach is a genuinely straightforward component that stores squares of information in the document framework.To decrease the dispute on any single volume, indicate more than one record framework stockpiling area to get various segments.

      Provenance Repository

      The Provenance Repository is that all the provenance occasion information is put away. The store build is pluggable to the default execution that utilizes at least one actual circle volumes.Occasion information is ordered and accessible in every area.

      Provenance vault

      From the NiFi 1.0 variant, a Zero-Leader Clustering design is joined. Each hub in the group executes comparative assignments on the information yet works on an alternate arrangement of information.Apache Zookeeper picks a solitary hub as a Cluster Coordinator. The Cluster Coordinator is utilized for associating and disengaging hubs. Additionally, every bunch has one Primary Node.

      Key concepts of Apache NiFi :-

      The critical ideas of Apache NiFi are as per the following:

      Key concepts of Apache NiFi
      Key concepts of Apache NiFi

      Stream: Flow is made to interface various processors to share and adjust information that is needed starting with one information source then onto the next objective.

      Association: Connection is utilized to interface the processors that go about as a line to hold the information in a line when required. It is otherwise called a limited support in Flow-based programming (FBP) terms. It permits a few cycles to connect at various rates.

      Processors: The processor is a Java module that is utilized to either get information from the source framework or to be put away in the objective framework. A few processors can be utilized to add a trait or adjust the substance in the FlowFile. It is liable for sending, consolidating, steering, changing, handling, making, parting, and getting stream records.

      FlowFile: FlowFile is the essential idea of NiFi that addresses a solitary object of the information chose from the source framework in NiFi. It permits clients to make changes to Flowfile when it moves from the source processor to the objective. Different occasions like Create, Receive, Clone, and so forth that are performed on Flowfile involving various processors in a stream.

      Occasion: An occasion addresses the adjustment in Flowfile while navigating by the NiFi Flow. Such occasions are observed in the information provenance.

      Information provenance: Data provenance is a vault that permits clients to check the information in regards to the Flowfile and helps in investigating assuming any issues emerge while handling the Flow record.

      Process bunch: The interaction bunch is a bunch of cycles and their individual associations that can get information from the info port and send it through yield ports.

      Apache NiFi User Interface :-

      Apache NiFi User Interface
      Apache NiFi User Interface
    • Apache NiFi is an online stage that can be gotten to by the client utilizing web UI. The NiFi User Interface permits components for making, picturing, checking, and altering the robotized information streams.
    • The UI is separated into a few sections, and each portion is liable for various elements of the application. These fragments incorporate different kinds of orders that are examined as follows:
    • At the point when a Data Flow Manager (DFM) explores to the User Interface (UI), a fresh start shows up on the screen, where it permits to fabricate an information stream.
    • In the figure, the Components Toolbar runs excessively left half of the screen. It incorporates the parts that can permit intuitive into the material to fabricate an information stream.
    • The Status Bar gives data in regards to the quantity of Active strings, measure of existing information, number of existing Remote Process Groups, number of existing processors, number of existing Versioned Process Groups, and timestamp at which all data was revived in conclusion.
    • The Global Menu is on the right half of the UI that incorporates choices used to control the current parts on the material.
    • The inquiry bar is utilized to allude to the data about the parts in DataFlow. The Navigate Palette is utilized to dish over the material and to zoom in and out.
    • The Birds Eye View in the Navigate range offers a significant level perspective on the information stream and permits it to length over huge segments of information stream.
    • The Operate range on the left-hand side of the screen incorporates different buttons that are utilized by DFMs to deal with the stream and to get to and arrange framework properties.

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      Processors Categorization in Apache NiFi :-

      Coming up next are the interaction order of Apache NiFi.

    • AWS Processors: AWS processors are liable for speaking with the Amazon web administrations framework. Such class processors are PutSNS, FetchS3Object, GetSQS,PutS3Object, and so forth
    • Attribute Extraction Processors: Attribute Extraction Processors are liable for removing, changing, and examining FlowFile credits handling in the NiFi information stream.Models are ExtractText, EvaluateJSONPath, AttributeToJSON, UpdateAttribute, and so on
    • Database Access Processors: The Database Access processors are utilized to choose or embed information or execute and plan other SQL articulations from the data set.Such processors utilize the information association regulator settings of Apache NiFi. Models are PutSQL, ListDatabaseTables, ExecuteSQL, PutDatabaseRecord, and so forth
    • Data Ingestion Processors: The Data Ingestion processors are utilized to ingest information into the information stream, for example, a beginning stage of any information stream in Apache NiFi. Models are GetFile, GetFTP, GetKAFKA,GetHTTP, and so forth
    • Data Transformation Processors: Data Transformation Processors are utilized for modifying the substance of the FlowFiles.These can be utilized to supplant the information of the FlowFile when the client needs to send FlowFile as a HTTP organization to conjure a HTTP processor. Models are JoltTransformJSON ReplaceText, and so forth
    • HTTP Processors: The HTTP processors work with the HTTP and HTTPS calls. Models are InvokeHTTP, ListenHTTP, PostHTTP, and so forth
    • Routing and Mediation Processors: Routing and Mediation Processors are utilized to course the FlowFiles to various processors relying upon the data in qualities of the FlowFiles.It is liable for controlling the NiFi information streams. Models are RouteOnContent, RouteText, RouteOnAttribute, and so forth
    • Sending Data Processors: Sending Data Processors are the end processors in the Data stream. It is answerable for putting away or sending information to the objective.In the wake of sending the information, the processor DROP the FlowFile with a fruitful relationship. Models are PutKAFKA, PutFTP, PutSFTP, PutEmail, and so on
    • Splitting and Aggregation Processors: The Splitting and Aggregation processors are utilized to part and consolidation the substance accessible in the Dataflow. Models are SplitXML, SplitJSON, SplitContent, MergeContent, and so forth
    • System Interaction Processors: The framework connection processors are utilized to run the cycle in any working framework. It additionally runs scripts in different dialects with various frameworks.Models are ExecuteScript, ExecuteStreamCommand, ExecuteGroovyScript, ExecuteProcess, and so forth.

      How to introduce Apache NiFi?

      To introduce Apache NiFi, do the accompanying advances.

      How to introduce Apache NiFi

      1. Click on the connection and download the most recent variant of Apache NiFi.

      2. Under the Binaries area, click on the compress document of the NiFi application arrangement for Windows OS.

      3. Most recent variant of apache nifi3 The above connect diverts you to another page. Here, you will get a connection to download Apache NiFi.

      4. In the wake of downloading the document, separate the record.

      5. Open the canister organizer (i.e., nifi-1.12.1 > container) and snap run-nifi and race to begin.

      6. The dashboard of NiFi will send off on the program on effective establishment. The dashboard of Apache is known as material, where we make the dataflows.

      Advantages of Apache NiFi :-

      The Advantages of Apache NiFi are as per the following:

    • Apache NiFi offers an online User Interface (UI). So it can run on an internet browser utilizing port and localhost.
    • On an internet browser, Apache NiFi utilizes the HTTPS convention to guarantee secure client connection.
    • It upholds the SFTP convention that empowers information getting from remote machines.
    • It likewise gives security arrangements at the interaction bunch level, client level, and different modules.
    • NiFi upholds every one of the gadgets that run Java.
    • It gives ongoing control that facilitates the development of information among source and objective.
    • Apache NiFi upholds grouping so it can chip away at various hubs with a similar stream handling various information, which builds the exhibition of information handling.
    • NiFi upholds north of 188 processors, and a client can make custom modules to help different sorts of information frameworks.

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      Conclusion :-

      Apache nifi

      On a last note, Apache NiFi is utilized for mechanizing and dealing with the information streams between the frameworks. When the information is brought from the outer source, it is addressed as a FlowFile inside the design of Apache NiFi.

      I trust this instructional exercise assists you with driving a method for planning and design your information streams in Apache NiFi. Presently, it’s your chance to investigate the NiFi. Assuming that any questions are set off, go ahead and drop your inquiry in the remark meeting.

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