hadoop-tools | Tools for Hadoop -

 by   don9z Python Version: Current License: No License

kandi X-RAY | hadoop-tools Summary

kandi X-RAY | hadoop-tools Summary

hadoop-tools is a Python library typically used in Big Data, Hadoop applications. hadoop-tools has no bugs, it has no vulnerabilities and it has low support. However hadoop-tools build file is not available. You can download it from GitHub.

Tools for Hadoop
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            kandi-support Support

              hadoop-tools has a low active ecosystem.
              It has 24 star(s) with 8 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              hadoop-tools has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hadoop-tools is current.

            kandi-Quality Quality

              hadoop-tools has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              hadoop-tools 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

              hadoop-tools releases are not available. You will need to build from source code and install.
              hadoop-tools has no build file. You will be need to create the build yourself to build the component from source.
              hadoop-tools saves you 218 person hours of effort in developing the same functionality from scratch.
              It has 533 lines of code, 57 functions and 2 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hadoop-tools and discovered the below as its top functions. This is intended to give you an instant insight into hadoop-tools implemented functionality, and help decide if they suit your requirements.
            • Initialize the database .
            • Fetch information from a Hive hive .
            • Generate new hive meta data .
            • Add partitions to hive
            • Command - line entry point .
            • Delete a database entry .
            • Generate the sql list for a hive .
            • Execute a SQLAlchemy SQL statement .
            • Print Hive meta data .
            • Generate an ALTER statement .
            Get all kandi verified functions for this library.

            hadoop-tools Key Features

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

            hadoop-tools Examples and Code Snippets

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

            Community Discussions

            QUESTION

            apache hadoop-tools installation in cloudera
            Asked 2019-Apr-24 at 14:11

            I have cloudera 5.14 development environment. I want to install apache hadoop-tools(link) in the cloudera distribution . Specifically I need hadoop-resourceestimator (link).

            There is no documentation available how to install the same .

            Any leads will be highly appreciated.

            ...

            ANSWER

            Answered 2019-Apr-24 at 14:11

            AFAIK cdh5.14.x is based on the old hadoop version 2.6.0 which does not have resourceestimator tool. It is available but is not supported in CDH6 ("not supported" is not the same as "not available"). You can find resourceestimator in CDH6.x distribution,

            -rw-r--r-- 1 root root 71105 Dec 6 03:13 /opt/cloudera/parcels/CDH/jars/hadoop-resourceestimator-3.0.0-cdh6.0.x-SNAPSHOT.jar

            and you're free to use it, but Cloudera Support won't provide any help.

            Source https://stackoverflow.com/questions/55797014

            QUESTION

            gradle transitive dependency conflict
            Asked 2018-Oct-05 at 08:14

            I've a typical transitive dependency problem for which I couldn't find a resolution.

            My project uses spark and hadoop-tools dependencies. spark uses hadoop-mapreduce-client-core and hadoop-tools uses hadoop-core

            hadoop-core and hadoop-mapreduce-client-core conflicts with each other. In other words, hadoop-mapreduce-client-core is a newer version (mapreduce2) of hadoop-core (mapreduce1).

            In this project, I will have some executables that runs spark jobs and some that runs Distcp (depends on hadoop-tools). How do I specify this relationship/dependency/force in build.gradle so both spark flows and hadoop-tools flows finds their own dependencies at runtime.

            ...

            ANSWER

            Answered 2018-Oct-05 at 08:14

            If you have classes with same FQCN in 2 different jars and you want to keep using both in different scenarios (as they different by their Artifact Id), then best and clean way you can a achieve this is by breaking down into a separate module.

            Please refer to Gradle Multi-Project builds

            https://docs.gradle.org/current/userguide/multi_project_builds.html

            Source https://stackoverflow.com/questions/52652424

            QUESTION

            spring dependency-management gradle plugin doesn't download dependency
            Asked 2018-Aug-28 at 08:56

            I'm using spring dependency-management gradle plugin on IntelliJ. I've a root module with following

            ...

            ANSWER

            Answered 2018-Aug-28 at 08:56

            In order to understand this behavior you need to understand how Spring DependencyManagement plugin works (see this section in the official documentation ):

            • the dependencyManagement { } block is used to configure the contraints that will apply to the dependencies (version to use, exclusions for transitive dependencies, etc..) but this block will not apply itself these dependencies to you project,
            • the dependencies of your project must be configured using the dependencies{ } block

            In your example:

            • first you have configured the dependencyManagement block in root project with constraints on "hadoop-common" and "hadoop-hdfs" modules, then you added contraint on "hadoop-tools" (using "dependency" or "dependencySet" in the dependencyManagement block): at this stage, you have not explicitly added any dependencies to your projects, but only configured the dependencies contraints

              ==> this explains why "hadoop-tools" dependency is not added/downloaded to your project.

            • then you added a "compile" dependency on "hadoop-tools" using the dependencies block , which is the correct way to declare dependencies, and this made the "hadoop-tools" lib available in your project.

            If I understand well your requirement, based on the source code you provided in the question: you could configure your projects as follow:

            root project's script

            Source https://stackoverflow.com/questions/51988922

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

            Vulnerabilities

            No vulnerabilities reported

            Install hadoop-tools

            You can download it from GitHub.
            You can use hadoop-tools like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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