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kandi X-RAY | hadoop-tools Summary
kandi X-RAY | hadoop-tools Summary
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Top functions reviewed by kandi - BETA
- 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 .
hadoop-tools Key Features
hadoop-tools Examples and Code Snippets
Community Discussions
Trending Discussions on hadoop-tools
QUESTION
ANSWER
Answered 2019-Apr-24 at 14:11AFAIK 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.
QUESTION
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 08:14If 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
QUESTION
I'm using spring dependency-management gradle plugin on IntelliJ. I've a root module with following
...ANSWER
Answered 2018-Aug-28 at 08:56In 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
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Install hadoop-tools
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.
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