spark-hyperloglog | Algebird 's HyperLogLog support for Apache Spark

by vitillo Scala Version: Current License: Apache-2.0

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

kandi X-RAY | spark-hyperloglog Summary

spark-hyperloglog is a Scala library typically used in Big Data, Spark applications. spark-hyperloglog has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Algebird's HyperLogLog support for Apache Spark.

Support

Quality

Security

License

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Support

spark-hyperloglog has a low active ecosystem.

It has 9 star(s) with 13 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

spark-hyperloglog has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of spark-hyperloglog is current.

Quality

spark-hyperloglog has 0 bugs and 0 code smells.

Security

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

spark-hyperloglog code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spark-hyperloglog 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-hyperloglog releases are not available. You will need to build from source code and install.

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

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spark-hyperloglog Key Features

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spark-hyperloglog Examples and Code Snippets

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

Community Discussions

Trending Discussions on spark-hyperloglog

Exact quantiles instead or approximate ones in Spark?

QUESTION

Exact quantiles instead or approximate ones in Spark?

Asked 2019-Sep-25 at 12:07

To calculate quantiles, I use approxQuantile method accessible from the stat() function in any Dataset or Dataframe of Spark. The way it approximate them is explained by in this post.

...

ANSWER

Answered 2019-Sep-23 at 06:06

The approxQuantile function in Spark can be used to calculate exact quantiles. From the documentation we see that there are 3 parameters:

Source https://stackoverflow.com/questions/58055807

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

Vulnerabilities

No vulnerabilities reported

Install spark-hyperloglog

You can download it from GitHub.

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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