HadoopTutorial | kmeans

 by   malli3131 Java Version: Current License: No License

kandi X-RAY | HadoopTutorial Summary

kandi X-RAY | HadoopTutorial Summary

HadoopTutorial is a Java library. HadoopTutorial has no vulnerabilities and it has low support. However HadoopTutorial has 27 bugs and it build file is not available. You can download it from GitHub.

The List of Projects and their Hierarchy defined in the file TutorialInfo. We are cleaning project for better readability You will latest Tutorials very soon.
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            kandi-support Support

              HadoopTutorial has a low active ecosystem.
              It has 60 star(s) with 98 fork(s). There are 21 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 600 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of HadoopTutorial is current.

            kandi-Quality Quality

              OutlinedDot
              HadoopTutorial has 27 bugs (11 blocker, 5 critical, 6 major, 5 minor) and 469 code smells.

            kandi-Security Security

              HadoopTutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              HadoopTutorial code analysis shows 0 unresolved vulnerabilities.
              There are 16 security hotspots that need review.

            kandi-License License

              HadoopTutorial does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              HadoopTutorial releases are not available. You will need to build from source code and install.
              HadoopTutorial has no build file. You will be need to create the build yourself to build the component from source.
              HadoopTutorial saves you 2683 person hours of effort in developing the same functionality from scratch.
              It has 5817 lines of code, 296 functions and 91 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed HadoopTutorial and discovered the below as its top functions. This is intended to give you an instant insight into HadoopTutorial implemented functionality, and help decide if they suit your requirements.
            • Main launcher
            • The data from a table
            • Command line
            • Main method to run the analysis
            • Demonstrates how to start a single volume
            • Starts the analysis
            • Joins the message and producer fields
            • Demonstrates how to find the stock volume
            • Starts the Stocks MR
            • Demonstrates how to search the content
            • Starts a MRReduce job
            • Starts the producer
            • The main method
            • Main method for testing
            • The main entry point
            • Starts the jobtracker
            • Main entry point
            • Demonstrates how to run a daily sequence file
            • Main entry point for testing
            • The main class
            Get all kandi verified functions for this library.

            HadoopTutorial Key Features

            No Key Features are available at this moment for HadoopTutorial.

            HadoopTutorial Examples and Code Snippets

            No Code Snippets are available at this moment for HadoopTutorial.

            Community Discussions

            QUESTION

            Dask Yarn failed to allocate number of workers
            Asked 2019-Dec-11 at 12:40

            We have a CDH cluster (version 5.14.4) with 6 worker servers with a total of 384 vcores (64 cores per server).
            We are running some ETL processes using dask version 2.8.1, dask-yarn version 0.8 with skein 0.8 .
            Currently we are having problem allocating the maximum number of workers .
            We are not able to run a job with more the 18 workers! (we can see the actual number of workers in the dask dashboad.
            The definition of the cluster is as follows:

            ...

            ANSWER

            Answered 2019-Dec-09 at 15:20

            There are many reasons why a job may be denied more containers. Do you have enough memory across your cluster to allocate that many 64 GiB chunks? Further, does 64 GiB tile evenly across your cluster nodes? Is your YARN cluster configured to allow jobs that large in this queue? Are there competing jobs that are also taking resources?

            You can see the status of all containers using the ApplicationClient.get_containers method.

            Source https://stackoverflow.com/questions/59245196

            QUESTION

            Simple Kafka Consumer Example not working through java api
            Asked 2019-Jun-27 at 11:15

            I am writing the java api to create kafka consumer I have an error:

            ...

            ANSWER

            Answered 2019-Jun-27 at 10:51

            Make sure that in you POM file you have the following dependencies:

            Source https://stackoverflow.com/questions/56787740

            QUESTION

            I Am creating the java api to conncet kafka
            Asked 2019-Jun-26 at 13:41

            I am writing the java api to create kafka producer I have an error:

            Exception in thread "main" java.lang.NoSuchMethodError: org.apache.kafka.clients.producer.ProducerConfig.(Ljava/util/Properties;)V at in.co.hadooptutorials.data.generator.cdr.kafka.main(kafka.java:65)

            Below is my code

            ...

            ANSWER

            Answered 2019-Jun-26 at 12:20

            Here:

            java.lang.NoSuchMethodError:

            That always means: some class wants to use something from another class, and at runtime, that other thing isn't there.

            This has always the same root cause: incompatible code levels. Meaning: you are running libA in version n, and libA uses libB. Now libA needs libB to be version m, but because of an inconsistent setup, your libB has a different version that isn't compatible to version m.

            Long story short: look into the way you setup your dependencies. Ensure that they are consistent, and reflect what kafka claims to be supported.

            Source https://stackoverflow.com/questions/56772560

            QUESTION

            Compilation of Hadoop Java program with additional dependencies
            Asked 2017-Oct-03 at 22:31

            I'm attempting to build a Hadoop program, the purpose of which is to cat files that I've previously uploaded to HDFS, based largely on this tutorial, the program looks like this:

            ...

            ANSWER

            Answered 2017-Sep-28 at 05:11

            Necessary appendix to ~/.bashrc:

            Source https://stackoverflow.com/questions/46457737

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

            Vulnerabilities

            No vulnerabilities reported

            Install HadoopTutorial

            You can download it from GitHub.
            You can use HadoopTutorial like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the HadoopTutorial component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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