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

 by   nexr Java Version: Current License: Apache-2.0

 by   nexr Java Version: Current License: Apache-2.0

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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
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support 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 12 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.
hive-udf Support
Best in #Java
Average in #Java
hive-udf Support
Best in #Java
Average in #Java

quality kandi Quality

  • hive-udf has 0 bugs and 0 code smells.
hive-udf Quality
Best in #Java
Average in #Java
hive-udf Quality
Best in #Java
Average in #Java

securitySecurity

  • 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.
hive-udf Security
Best in #Java
Average in #Java
hive-udf Security
Best in #Java
Average in #Java

license 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.
hive-udf License
Best in #Java
Average in #Java
hive-udf License
Best in #Java
Average in #Java

buildReuse

  • 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.
hive-udf Reuse
Best in #Java
Average in #Java
hive-udf Reuse
Best in #Java
Average in #Java
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.

  • Initializes the object inspector .
    • Evaluates the argument and returns the result .
      • Get display string .
        • Process a forward request
          • Shortcut toString .
            • Closes the Hive .
              • Get an instance of the evaluator for the given parameter info .

                Get all kandi verified functions for this library.

                Get all kandi verified functions for this library.

                hive-udf Key Features

                NexR Hive UDFs

                Quickstart

                copy iconCopydownload iconDownload
                $ git clone https://github.com/nexr/hive-udf.git
                $ cd hive-udf
                $ mvn clean package
                or
                $ ant -Dhive.install.dir=../hive/build/dist clean package
                

                Run the tests using Hive PDK

                copy iconCopydownload iconDownload
                $ ant -Dhive.install.dir=../hive/build/dist test
                

                hive-site.xml

                copy iconCopydownload iconDownload
                <property>
                    <name>hive.aux.jars.path</name>
                    <value>file:///path/to/nexr-hive-udf-[VERSION].jar</value>
                </property>
                

                Registering the UDFs

                copy iconCopydownload iconDownload
                hive> add jar /path/to/nexr-hive-udf-[VERSION].jar;
                hive> CREATE TEMPORARY FUNCTION nvl AS 'com.nexr.platform.hive.udf.GenericUDFNVL';
                hive> CREATE TEMPORARY FUNCTION decode AS 'com.nexr.platform.hive.udf.GenericUDFDecode';
                hive> CREATE TEMPORARY FUNCTION nvl2 AS 'com.nexr.platform.hive.udf.GenericUDFNVL2';
                hive> CREATE TEMPORARY FUNCTION str_to_date AS 'com.nexr.platform.hive.udf.UDFStrToDate';
                hive> CREATE TEMPORARY FUNCTION date_format AS 'com.nexr.platform.hive.udf.UDFDateFormat';
                hive> CREATE TEMPORARY FUNCTION to_char AS 'com.nexr.platform.hive.udf.UDFToChar';
                hive> CREATE TEMPORARY FUNCTION instr4 AS 'com.nexr.platform.hive.udf.GenericUDFInstr';
                hive> CREATE TEMPORARY FUNCTION chr AS 'com.nexr.platform.hive.udf.UDFChr';
                hive> CREATE TEMPORARY FUNCTION last_day AS 'com.nexr.platform.hive.udf.UDFLastDay';
                hive> CREATE TEMPORARY FUNCTION greatest AS 'com.nexr.platform.hive.udf.GenericUDFGreatest';
                hive> CREATE TEMPORARY FUNCTION to_number AS 'com.nexr.platform.hive.udf.GenericUDFToNumber';
                hive> CREATE TEMPORARY FUNCTION trunc AS 'com.nexr.platform.hive.udf.GenericUDFTrunc';
                hive> CREATE TEMPORARY FUNCTION rank AS 'com.nexr.platform.hive.udf.GenericUDFRank';
                hive> CREATE TEMPORARY FUNCTION row_number AS 'com.nexr.platform.hive.udf.GenericUDFRowNumber';
                hive> CREATE TEMPORARY FUNCTION sysdate AS 'com.nexr.platform.hive.udf.UDFSysDate';
                hive> CREATE TEMPORARY FUNCTION populate AS 'com.nexr.platform.hive.udf.GenericUDTFPopulate';
                hive> CREATE TEMPORARY FUNCTION dedup AS 'com.nexr.platform.hive.udf.GenericUDAFDedup';
                hive> CREATE TEMPORARY FUNCTION lnnvl AS 'com.nexr.platform.hive.udf.GenericUDFLnnvl';
                hive> CREATE TEMPORARY FUNCTION substr AS 'com.nexr.platform.hive.udf.UDFSubstrForOracle';
                

                how to remove ADD jar statement in the start of beeline

                copy iconCopydownload iconDownload
                cat ~/.hiverc
                

                Community Discussions

                Trending Discussions on hive-udf
                • how to remove ADD jar statement in the start of beeline
                Trending Discussions on hive-udf

                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 :

                ADD JAR /usr/share/hive3-dim-lookup/dimlookup-hive-udf-1.1.....jar;
                Error: Error while processing statement{Failed in 10.35.144.186} : //usr/share/hive3-dim-lookup/dimlookup-hive-udf-1.1.....jar does not exist (state=,code=1)
                

                When I start beeline, how can I configure it to not start with beeline ?

                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:

                cat ~/.hiverc
                

                And remove ADD JAR from it

                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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