hive-udf | NexR Hive UDFs is a collection of user defined functions

by nexr Java Version: Current License: Apache-2.0

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

kandi X-RAY | hive-udf Summary

hive-udf is a Java library typically used in Big Data, React, Hadoop applications. hive-udf has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.

NexR Hive UDFs is a collection of user defined functions for Hive.

Support

Quality

Security

License

Reuse

Support

hive-udf has a highly active ecosystem.

It has 106 star(s) with 97 fork(s). There are 64 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 1170 days. There are 1 open pull requests and 0 closed requests.

It has a negative sentiment in the developer community.

The latest version of hive-udf is current.

Quality

hive-udf has 0 bugs and 0 code smells.

Security

hive-udf has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hive-udf code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hive-udf 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

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

Evaluates the integer
Evaluate a short
Evaluate a byteWritable
Evaluate a byte
Evaluates date and pattern
Evaluate the text based on the format
Evaluates the floatWritable to the given format
Evaluate a text value
Evaluate the sequence
Evaluate a long writable
Evaluate a double write
Evaluate a number of days
Evaluate the date
Evaluates the text and returns the text
Evaluates the input
Gets the display string for a list of strings
Get display string representation
Get a human - readable display string
Evaluate EXTERNATE mode
Initialize the function
This method is called to determine if the maximum value is the maximum
Initializes the function inspector
Initializes the object inspector
Evaluates the input
This method is used to compare two objects
Evaluates the field values and return the result
Evaluates min and max
This method compares two arguments
Performs the actual comparison
Evaluates the given text
Initialize the object inspector

Get all kandi verified functions for this library.

hive-udf Key Features

No Key Features are available at this moment for hive-udf.

hive-udf Examples and Code Snippets

No Code Snippets are available at this moment for hive-udf.

Community Discussions

Trending Discussions on hive-udf

how to remove ADD jar statement in the start of beeline

QUESTION

how to remove ADD jar statement in the start of beeline

Asked 2021-Jan-29 at 08:37

How can I remove statement that happened when beeline terminal start? I have AD jar statement by default when I start beeline and I don't have this jar which case error message :

...

ANSWER

Answered 2021-Jan-27 at 08:34

It is possible using .hiverc file in users home dir. See HIVE-5160

Check your .hiverc file content:

Source https://stackoverflow.com/questions/65913498

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

Vulnerabilities

No vulnerabilities reported

Install hive-udf

You can download it from GitHub.
You can use hive-udf 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 hive-udf 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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