pagerank-example-spark2.0-deep-dive | Tutorial 101 : PageRank Example

 by   abbas-taher Scala Version: Current License: No License

kandi X-RAY | pagerank-example-spark2.0-deep-dive Summary

kandi X-RAY | pagerank-example-spark2.0-deep-dive Summary

pagerank-example-spark2.0-deep-dive is a Scala library typically used in Big Data, Spark, Example Codes applications. pagerank-example-spark2.0-deep-dive has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Tutorial 101: PageRank Example in Spark 2.0 : Understanding the Algorithm & Spark Implementation Code
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              pagerank-example-spark2.0-deep-dive has a low active ecosystem.
              It has 28 star(s) with 15 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              pagerank-example-spark2.0-deep-dive has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pagerank-example-spark2.0-deep-dive is current.

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              pagerank-example-spark2.0-deep-dive has no bugs reported.

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              pagerank-example-spark2.0-deep-dive has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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              pagerank-example-spark2.0-deep-dive does not have a standard license declared.
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              pagerank-example-spark2.0-deep-dive releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            Community Discussions

            Trending Discussions on pagerank-example-spark2.0-deep-dive

            QUESTION

            How to fix 'Error: Could not find or load main class' on scala application in Intellij?
            Asked 2019-Nov-15 at 08:54

            I tried to make a simple scala application, Page Rank, and I can't run it.

            The source from which I got the code : https://github.com/abbas-taher/pagerank-example-spark2.0-deep-dive

            I created a new scala project in Intellij, the package com.scalaproj and added the code from the source into the scala object, SparkPageRank. I also added the external jars for spark-2.1.0-bin-hadoop2.7, as it said in the tutorial.

            ...

            ANSWER

            Answered 2019-Nov-15 at 08:54

            I am able to reproduce the error. You just have to mark the directory containing your SparkPageRank object as Sources root in Intellij. (the directory must be in blue)

            Right click on the directory -> Mark Directory as -> Sources Root

            Hope this work for you !

            ======= Update after discussion ======

            Since this Solution is not working, You have to create a maven project, And add spark and scala dependencies. In github link, I am not sure that your code work without a pom.xml, or build.sbt.

            ======= Update of 11/13 =======

            Code worked with build.sbt

            Source https://stackoverflow.com/questions/58807246

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pagerank-example-spark2.0-deep-dive

            You can download it from GitHub.

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            This part is the heart of the PageRank algorithm. In each iteration, the contributions are calculated and the ranks are recalculated based on those contributions. The algorithm has 4 steps:   1- Start the algorithm with each page at rank 1   2- Calculate URL contribution: contrib = rank/size   3- Set each URL new rank = 0.15 + 0.85 x contrib   4- Iterate to step 2 with the new rank.
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