HadoopHiveHLLCardinality | Calculating the cardinality using HLL

by claymodel Java Version: Current License: No License

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kandi X-RAY | HadoopHiveHLLCardinality Summary

HadoopHiveHLLCardinality is a Java library. HadoopHiveHLLCardinality has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Hive User-defined Aggregation Function (UDAF). HyperLogLog approximate cardinality estimation algorithm which involves Linear Counting.

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Quality

Security

License

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Support

HadoopHiveHLLCardinality has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

HadoopHiveHLLCardinality has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of HadoopHiveHLLCardinality is current.

Quality

HadoopHiveHLLCardinality has no bugs reported.

Security

HadoopHiveHLLCardinality has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

HadoopHiveHLLCardinality does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

HadoopHiveHLLCardinality 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.

Top functions reviewed by kandi - BETA

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

Reads a histogram from a byte buffer
Adds the given data point to the group
Removes the given element from this set
Adds a new group
Gathers the cardinality estimate
Merges this hyperlogPlus into another one
Merges the sparse set into the given temporary set
Returns the hash value of the given character sequence
Returns the hash code for a given key
Deserialize a sketch from a byte array
Returns a string representation of this object
Evaluator implementation
The number of registers
Removes a random element
Inserts the specified object into this buffer
Serializes a given sketch into a byte array
Calls the super method and writes the data to the specified stream
Deserializes the byte array
Merges the given estimators into a new CountMin Sketch
Serialize to a byte array
Utility function for testing
Returns a string representation of the histogram
Compute the quantile of a given value
Calls the super method
Auxiliary method to get a StreamSummary
Computes the CDF value for the given value

Get all kandi verified functions for this library.

HadoopHiveHLLCardinality Key Features

No Key Features are available at this moment for HadoopHiveHLLCardinality.

HadoopHiveHLLCardinality Examples and Code Snippets

No Code Snippets are available at this moment for HadoopHiveHLLCardinality.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install HadoopHiveHLLCardinality

You can download it from GitHub.
You can use HadoopHiveHLLCardinality 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 HadoopHiveHLLCardinality 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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