hadoop-mapreduce-examples | complex examples of mapreduce tasks

 by   ZuInnoTe Java Version: Current License: MIT

kandi X-RAY | hadoop-mapreduce-examples Summary

kandi X-RAY | hadoop-mapreduce-examples Summary

hadoop-mapreduce-examples is a Java library typically used in Big Data, Spark, Hadoop applications. hadoop-mapreduce-examples has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Some simple and complex examples of mapreduce tasks for Hadoop. The main idea is to use a build tool (Gradle) and to show how standard map/reduce tasks can be executed on Hadoop2. You should have Hadoop installed locally, run it on a cluster or leverage a cloud service, such as Amazon EMR, Google Compute or Microsoft Azure.
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            kandi-support Support

              hadoop-mapreduce-examples has a low active ecosystem.
              It has 6 star(s) with 5 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              hadoop-mapreduce-examples has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hadoop-mapreduce-examples is current.

            kandi-Quality Quality

              hadoop-mapreduce-examples has 0 bugs and 12 code smells.

            kandi-Security Security

              hadoop-mapreduce-examples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              hadoop-mapreduce-examples code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              hadoop-mapreduce-examples is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              hadoop-mapreduce-examples releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              hadoop-mapreduce-examples saves you 43 person hours of effort in developing the same functionality from scratch.
              It has 115 lines of code, 6 functions and 6 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hadoop-mapreduce-examples and discovered the below as its top functions. This is intended to give you an instant insight into hadoop-mapreduce-examples implemented functionality, and help decide if they suit your requirements.
            • Main command line
            • Main entry point for testing
            • Writes a word to the output collector
            • Maps the given value to the output collector
            • Computes the sum of the values
            Get all kandi verified functions for this library.

            hadoop-mapreduce-examples Key Features

            No Key Features are available at this moment for hadoop-mapreduce-examples.

            hadoop-mapreduce-examples Examples and Code Snippets

            No Code Snippets are available at this moment for hadoop-mapreduce-examples.

            Community Discussions

            QUESTION

            Copy a file from local machine to docker container
            Asked 2021-Jul-15 at 11:41

            I am following this example:

            I find the namenode as follows:

            ...

            ANSWER

            Answered 2021-Jul-15 at 11:38

            Remove the $ at the beginning. That's what $: command not found means. Easy to miss when copy pasting code

            Source https://stackoverflow.com/questions/68393052

            QUESTION

            Apache Oozie throws ClassNotFoundException (org.apache.hadoop.conf.Configuration) during startup
            Asked 2021-May-09 at 23:25

            I built the Apache Oozie 5.2.1 from the source code in my MacOS and currently having trouble running it. The ClassNotFoundException indicates a missing class org.apache.hadoop.conf.Configuration but it is available in both libext/ and the Hadoop file system.

            I followed the 1st approach given here to copy Hadoop libraries to Oozie binary distro. https://oozie.apache.org/docs/5.2.1/DG_QuickStart.html

            I downloaded Hadoop 2.6.0 distro and copied all the jars to libext before running Oozie in addition to other configs, etc as specified in the following blog.

            https://www.trytechstuff.com/how-to-setup-apache-hadoop-2-6-0-version-single-node-on-ubuntu-mac/

            This is how I installed Hadoop in MacOS. Hadoop 2.6.0 is working fine. http://zhongyaonan.com/hadoop-tutorial/setting-up-hadoop-2-6-on-mac-osx-yosemite.html

            This looks pretty basic issue but could not find why the jar/class in libext is not loaded.

            • OS: MacOS 10.14.6 (Mojave)
            • JAVA: 1.8.0_191
            • Hadoop: 2.6.0 (running in the Mac)
            ...

            ANSWER

            Answered 2021-May-09 at 23:25

            I was able to sort the above issue and few other ClassNotFoundException by copying the following jar files from extlib to lib. Both folder are in oozie_install/oozie-5.2.1.

            • libext/hadoop-common-2.6.0.jar
            • libext/commons-configuration-1.6.jar
            • libext/hadoop-mapreduce-client-core-2.6.0.jar
            • libext/hadoop-hdfs-2.6.0.jar

            While I am not sure how many more jars need to be moved from libext to lib while I try to run an example workflow/job in oozie. This fix brought up Oozie web site at http://localhost:11000/oozie/

            I am also not sure why Oozie doesn't load the libraries in the libext/ folder.

            Source https://stackoverflow.com/questions/67462448

            QUESTION

            Clear or delete YARN (MR2) application queue
            Asked 2020-Jul-08 at 05:39

            I am using Cloudera Hadoop (CDH 5.16.2) for testing purpose. I ran the following map-reduce application two days ago:

            ...

            ANSWER

            Answered 2020-Jul-08 at 05:39

            In my case, I finally figured out that my cluster was actually attacked. It happened because the Azure Network Security Group (NSG) was not configured properly. This also resulted in high-bandwidth charges (data transfer out) though I got that waived-off after requesting Azure team. After I restricted both the inbound and outbound traffic, everything got sorted. I killed the applications that were in queue and then they never appeared again.

            I was checking online and it seems Hadoop YARN-based remote code execution (RCE) are actually quite common. So kindly make sure your NSG is configured properly.

            Ref:

            Source https://stackoverflow.com/questions/62216568

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

            Vulnerabilities

            No vulnerabilities reported

            Install hadoop-mapreduce-examples

            You can download it from GitHub.
            You can use hadoop-mapreduce-examples 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 hadoop-mapreduce-examples 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 .

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            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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