Before starting the upgrade of Apache NiFi, read the release notes to know about the changes and additions. A user needs to evaluate the impact of these additions and changes in his/her current NiFi installation. Below is the link to get the release notes for the new releases of Apache NiFi.

https://cwiki.apache.org/confluence/display/NIFI/Release+Notes

In a cluster setup, a user needs to upgrade NiFi installation of every Node in a cluster. Follow the steps given below to upgrade the Apache NiFi.

Backup all the custom NARs present in your current NiFi or lib or any other folder.
Download the new version of Apache NiFi. Below is the link to download the source and binaries of latest NiFi version.

https://nifi.apache.org/download.html

Create a new directory within the same installation directory of current NiFi and extract the new version of Apache NiFi.
Stop the NiFi gracefully. First stop all the processors and let all the flowfiles present within the flow get processed. Once, no more flowfile is there, stop the NiFi.
Copy the configuration of authorizers.xml from current NiFi installation to the new version.
Update the values in bootstrap-notification-services.xml, and bootstrap.conf of new NiFi version from the current one.
Add the custom logging from logback.xml to the new NiFi installation.
Configure the login identity provider in login-identity-providers.xml from the current version.
Update all the properties in nifi.properties of the new NiFi installation from current version.
Please make sure that the group and user of new version is same as the current version, to avoid any permission denied errors.
Copy the configuration from state-management.xml of current version to the new version.
Copy the contents of the subsequent directories from current version of NiFi installation to the same directories within the new version.
- ./conf/flow.xml.gz
- Also flow.xml.gz from the archive directory.
- For provenance and content repositories change the values in nifi. properties file to the current repositories.
- copy state from ./state/local or change in nifi.properties if any other external directory is specified.
Recheck all the changes performed and check if they have an impact on any new changes added within the new NiFi version. If there is any impact, check for the solutions.
Start all the NiFi nodes and verify if all the flows are working correctly and repositories are storing data and Ui is retrieving it with any errors.
Monitor bulletins for some time to check for any new errors.
If the new version is working correctly, then the current version can be archived and deleted from the directories.

Apache NiFi – Remote Process Group

Apache NiFi Remote Process Group or RPG enables flow to direct the FlowFiles in a flow to different NiFi instances using Site-to-Site protocol. As of version 1.7.1, NiFi does not offer balanced relationships, so RPG is employed for load balancing in a NiFi data flow.

A developer can add the RPG from the top toolbar of NiFi UI by dragging the icon as shown within the above picture to canvas. To configure an RPG, a Developer has to add the subsequent fields −

S.No.	Field Name	Description
1	URLs	To specify comma separated remote target NiFi URLs.
2	Transport Protocol	To specify the transport protocol for remote NiFi instances. It’s either RAW or HTTP.
3	Local Network Interface	To specify the local network interface to send/receive data.
4	HTTP Proxy Server Hostname	To specify the proxy server’s hostname for the purpose of transport in RPG.
5	HTTP Proxy Server Port	To specify the proxy server’s port for the purpose of transport in RPG.
6	HTTP Proxy User	It is an optional field to specify the username for HTTP proxy.
7	HTTP Proxy Password	It is an optional field to specify the password for above username.

A developer needs to enable it, before using it like we start processors before using them.

6.1

So, this brings us to the end of Deep Dive into Apache NiFi User Interface blog. This Tecklearn ‘How to upgrade Apache NiFi Installation and Remote Process Group in Apache NiFi’ helps you with commonly asked questions if you are looking out for a job in Apache NiFi and Big Data Domain.

If you wish to learn Apache NiFi and build a career in Apache NiFi or Big Data domain, then check out our interactive, Apace NiFi Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

https://www.tecklearn.com/course/apache-nifi-training/

Apache NiFi Training

About the Course

Tecklearn Apache NiFi Training makes you an expert in Cluster integration and the challenges associated, Usefulness of Automation, Apache NiFi configuration challenges and etc. Apache NiFi that helps you master various aspects of automating dataflow, managing flow of information between systems, streaming analytics, the concepts of data lake and constructs, various methods of data ingestion and real-world Apache NiFi projects .Transforming the databases is becoming a challenge for many organizations and thus they often look for those who have certification in Apache NiFi to help them in automating the flow of data between the systems.

Why Should you take Apache NiFi Training?

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Micron, Macquarie Telecom Group , Dovestech, Payoff, Flexilogix , Hashmap Inc. & many other MNC’s worldwide use Ansible across industries.
Apache NiFi is an open source software for automating and managing the flow of data between systems. It is a powerful and reliable system to process and distribute data. It provides a web-based User Interface for creating, monitoring, & controlling data flows.

What you will Learn in this Course?

Overview of Apache NiFi and its capabilities

Understanding the Apache NiFi
Apache NiFi most interesting features and capabilities

High Level Overview of Key Apache NiFi Features

Key features categories: Flow management, Ease of use, Security, Extensible architecture and Flexible scaling model

Advantages of Apache NiFi over other traditional ETL tools

Features of NiFi which make it different form traditional ETL tool and gives NiFi an edge over them

Apache NiFi as a Data Ingestion Tool

Introduction to Apache NiFi for data ingestion
Apache NiFi Processor : Data ingestion tools available for transferring , importing , loading and processing of data

Data Lake Concepts and Constructs (Big Data & Hadoop Environment)

Concept of data lake and its attributes
Support for colocation of data in various formats and overcoming the problem of data silos

Apache NiFi capabilities in Big Data and Hadoop Environment

Introduction to NiFi processors which sync with data lake and Hadoop ecosystem
An overview of the various components of the Hadoop ecosystem and data lake

Installation Requirements and Cluster Integration

Apache NiFi installation requirements and cluster integration
Successfully running Apache NiFi and addition of processor to NiFi
Working with attributes and Process of scaling up and down
Hands On

Apache NiFi Core Concepts

Apache NiFi fundamental concepts
Overview of FlowFile, Flow Controller ,FlowFile Processor, and their attributes
Functions in dataflow

Architecture of Apache NiFi

Architecture of Apache NiFi
Various components including FlowFile Repository, Content Repository, Provenance Repository and web-based user interface
Hands On

Performance Expectation and Characteristics of NiFi

How to utilize maximization of resources is particularly strong with respect to CPU and disk
Understand the best practices and configuration tips

Queuing and Buffering Data

Buffering of Data in Apache NiFi
Concept of queuing, recovery and latency
Working with controller services and directed graphs
Data transformation and routing
Processor connection, addition and configuration
Hands On

Database Connection with Apache NiFi

Apache NiFi Connection with database
Data Splitting, Transforming and Aggregation
Monitoring of NiFi and process of data egress
Reporting and Data lineage
Expression language and Administration of Apache NiFi
Hands On

Apache NiFi Configuration Best Practices

Apache NiFi configuration Best Practices
ZooKeeper access, properties, custom properties and encryption
Guidelines for developers
Security of Data in Hadoop and NiFi Kerberos interface
Hands On

Apache NiFi Project

Apache NiFi Installation
Configuration and Deployment of toolbar
Building a dataflow using NiFi
Creating, importing and exporting various templates to construct a dataflow
Deploying Real-time ingestion and Batch ingestion in NiFi
Hands On

Got a question for us? Please mention it in the comments section and we will get back to you.

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