HiveUDFs | My Personal Collection of Hive UDFs

by petrabarus Java Version: Current License: No License

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

kandi X-RAY | HiveUDFs Summary

HiveUDFs is a Java library typically used in Big Data, React applications. HiveUDFs has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

My Personal Collection of Hive UDFs.

Support

Quality

Security

License

Reuse

Support

HiveUDFs has a low active ecosystem.

It has 32 star(s) with 22 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 3 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of HiveUDFs is current.

Quality

HiveUDFs has 0 bugs and 0 code smells.

Security

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

HiveUDFs code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

HiveUDFs 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

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

Evaluate the UDF
Get dns attributes
Returns the region name by country code and region
Get a Location from the database
Reads the metadata from the database
Finds the country index value for an IP address
Convert a string to a Location
Returns information about the database
Returns the organization name or null if not found
Returns the long representation of an InetAddress object
Check if GeoIP file has changed
Returns the ID associated with an IP address
Returns the date of the database
Returns the query map as a String
Returns timezone based on the country and region
Returns the great circle distance from the given location
Initialize this UDF
Parse a query string

Get all kandi verified functions for this library.

HiveUDFs Key Features

No Key Features are available at this moment for HiveUDFs.

HiveUDFs Examples and Code Snippets

No Code Snippets are available at this moment for HiveUDFs.

Community Discussions

Trending Discussions on HiveUDFs

Making Spark functions accessible from within a bespoke function in mutate

QUESTION

Making Spark functions accessible from within a bespoke function in mutate

Asked 2017-Sep-21 at 01:17

While working with Spark RDD via sparklyr, I would like to wrap some of the common transformations to pass them more convientntly to mutate syntax.

Example

For instance, while working with a data with the following timestamps:

...

ANSWER

Answered 2017-Sep-21 at 01:17

the issue is that the function needs to be passed un-evaluated to the mutate() function. The rlang package can be done to accomplish this, here is an example:

Source https://stackoverflow.com/questions/46318820

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

Vulnerabilities

No vulnerabilities reported

Install HiveUDFs

You can download it from GitHub.
You can use HiveUDFs 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 HiveUDFs 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: