spark-compaction | File compaction tool that runs on top of the Spark framework

by KeithSSmith Java Version: Current License: Apache-2.0

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

kandi X-RAY | spark-compaction Summary

spark-compaction is a Java library. spark-compaction 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.

When streaming data into HDFS, small messages are written to a large number of files that if left unchecked will cause unnecessary strain on the HDFS NameNode. To handle this situation, it is good practice to run a compaction job on directories that contain many small files to help reduce the resource strain of the NameNode by ensuring HDFS blocks are filled efficiently. It is common practice to do this type of compaction with MapReduce or on Hive tables / partitions and this tool is designed to accomplish the same type of task utilizing Spark.

Support

Quality

Security

License

Reuse

Support

spark-compaction has a low active ecosystem.

It has 58 star(s) with 36 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 941 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of spark-compaction is current.

Quality

spark-compaction has 0 bugs and 0 code smells.

Security

spark-compaction has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

spark-compaction code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spark-compaction 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

spark-compaction 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.

Installation instructions are not available. Examples and code snippets are available.

spark-compaction saves you 253 person hours of effort in developing the same functionality from scratch.

It has 615 lines of code, 49 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 spark-compaction and discovered the below as its top functions. This is intended to give you an instant insight into spark-compaction implemented functionality, and help decide if they suit your requirements.

Main method
Set the output compression properties
Validates compression and serialization options
Initialize options

Get all kandi verified functions for this library.

spark-compaction Key Features

No Key Features are available at this moment for spark-compaction.

spark-compaction Examples and Code Snippets

No Code Snippets are available at this moment for spark-compaction.

Community Discussions

No Community Discussions are available at this moment for spark-compaction.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install spark-compaction

You can download it from GitHub.
You can use spark-compaction 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 spark-compaction 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 .

Find more information at: