hadoop-utils | Hadoop utilities to make

by alexholmes Java Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | hadoop-utils Summary

hadoop-utils is a Java library typically used in Big Data, Kafka, Spark, Hadoop applications. hadoop-utils 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.

A set of Hadoop utilities to make working with Hadoop a little easier. The utilities can be called from your Hadoop application code, and in addition some can be called directly from the command-line.

Support

Quality

Security

License

Reuse

Support

hadoop-utils has a low active ecosystem.

It has 26 star(s) with 28 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 3 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hadoop-utils is current.

Quality

hadoop-utils has 0 bugs and 0 code smells.

Security

hadoop-utils has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hadoop-utils code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hadoop-utils is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

hadoop-utils 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.

Top functions reviewed by kandi - BETA

kandi has reviewed hadoop-utils and discovered the below as its top functions. This is intended to give you an instant insight into hadoop-utils implemented functionality, and help decide if they suit your requirements.

Generate split splits
Organizes the splits by location
Pushes a list of split splits
Compute the total size of all splits
Overrides the superclass method
Overrides the default list of FileStatus
Move the next line to the next line
Extracts the key from a sort line
Initialize the writer
Moves the reader to the next split
Runs the sort job
Creates an avro container file
Return the progress within the input split
Run the sort program
Create a record reader
Generate a sequence file
Generate sequence file
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Get all kandi verified functions for this library.

hadoop-utils Key Features

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

hadoop-utils Examples and Code Snippets

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

Community Discussions

Trending Discussions on hadoop-utils

Oozie 4.3.0 build failed on Hadoop 2.9.0

QUESTION

Oozie 4.3.0 build failed on Hadoop 2.9.0

Asked 2017-Dec-29 at 04:49

I ran the build with commands like this:

...

ANSWER

Answered 2017-Dec-29 at 04:49

watch it my newly created blog to install oozie-4.3.0 on combination of hadoop-2.9.0 step by step,

Installing apache oozie-4.3.0 on existing apache hadoop-2.9.0

hope this will help you.

Source https://stackoverflow.com/questions/47966666

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

Vulnerabilities

No vulnerabilities reported

Install hadoop-utils

You can download it from GitHub.
You can use hadoop-utils 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-utils 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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