<div>
I strongly suggest you start with Ubuntu Bionic + then install the standard Kylin packages.<br />
<br />
This will save you massive amounts of time, as normally Ubuntu Kylin packages start correctly, after install.<br />
<br />
If you use another Distro or install from source, you'll likely have to interact with the Kylin user community (mailing list) for assistance.
</div>


I strongly suggest you start with Ubuntu Bionic + then install the standard Kylin packages.

This will save you massive amounts of time, as normally Ubuntu Kylin packages start correctly, after install.

If you use another Distro or install from source, you'll likely have to interact with the Kylin user community (mailing list) for assistance.

<div>
Kylin was running before, when i stop and start the kylin throws the above error.
</div>


Kylin was running before, when i stop and start the kylin throws the above error.

DevOps Engineer

Prabhin MP

<div>
So something was changed, that would make my comment the solution, right?
</div>


So something was changed, that would make my comment the solution, right?

<div>
<div class="content wysiwyg-content">
Kylin not getting started<br />
<br />
here is the below error which I'm getting<br />
<br />

<blockquote>
<br />
kafka dependency is /opt/apache-kylin-2.2.0-bi<wbr />n/lib/kafk<wbr />a-clients-<wbr />1.0.0.jar<br />
Retrieving Spark dependency...<br />
Error: Could not find or load main class exists<br />
ERROR: Unknown error. Please check full log.
</blockquote>
</div>
</div>


Kylin not getting started

here is the below error which I'm getting


kafka dependency is /opt/apache-kylin-2.2.0-bin/lib/kafka-clients-1.0.0.jar
Retrieving Spark dependency...
Error: Could not find or load main class exists
ERROR: Unknown error. Please check full log.

Kylin not getting start

Linux is a UNIX-like open source operating system with hundreds of distinct distributions, including: Fedora, openSUSE, Ubuntu, Debian, Slackware, Gentoo, CentOS, and Arch Linux. Linux is generally associated with web and database servers, but has become popular in many niche industries and applications.

Linux

Big data describes data sets that are so large or complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy. The term often refers simply to the use of predictive analytics or certain other advanced methods to extract value from data, and seldom to a particular size of data set.

Big Data

Analytics is the discovery and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance. Specifically, areas within analytics include predictive analytics, prescriptive analytics, enterprise decision management, retail analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, sales force sizing and optimization, price and promotion modeling, predictive science, credit risk analysis, and fraud analytics.

Analytics

Apache™ Hadoop® is an  open-source framework that allows large data sets to be processed and distributed across commodity cluster computers.