hive-jdbc-uber-jar | Hive JDBC uber '' or standalone '' jar

by timveil Java Version: v1.9-2.6.5 License: No License

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

kandi X-RAY | hive-jdbc-uber-jar Summary

hive-jdbc-uber-jar is a Java library typically used in Big Data, Spark, Hadoop applications. hive-jdbc-uber-jar has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Sometimes you want to connect your favorite database query or visualization tool to Hive. I've found that this can be quite cumbersome, typically requiring you to copy jars from the Hadoop cluster to some place locally that can be read by your tool. Recent versions of Hive include a "standalone" jar, but even this does not include all required dependencies. The goal of this simple maven project is to easily pull the required jars into a single place locally and create an "uber" or "standalone" jar that can be referenced by any JDBC compliant tool. Please note this jar works with both kerberized and non-kerberized clusters. Configuring tools to work against kerberized clusters is typically more involved and requires an understanding of Kerberos. A full explanation of configuring Kerberos is outside the scope of this project. You can download the latest binaries from the releases page:

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Quality

Security

License

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Support

hive-jdbc-uber-jar has a low active ecosystem.

It has 226 star(s) with 79 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 12 have been closed. On average issues are closed in 108 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hive-jdbc-uber-jar is v1.9-2.6.5

Quality

hive-jdbc-uber-jar has 0 bugs and 0 code smells.

Security

hive-jdbc-uber-jar has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

hive-jdbc-uber-jar code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hive-jdbc-uber-jar 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

hive-jdbc-uber-jar releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

hive-jdbc-uber-jar saves you 112 person hours of effort in developing the same functionality from scratch.

It has 283 lines of code, 21 functions and 3 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Prints information about this version
Returns the url to use for this plugin
Gets the user
Get the sub version URL
Get the checksum of the Hadoop file
Get the sub - version number
Returns the version
Gets the compilation date
Get the protocol version
Returns the protocol version
Retrieves the date
Get user name
Get source checksum
Get the revision
Get the Hadoop version
Gets the branch name
Get branch branch
Get the build version
Get the build version
Prints version information

Get all kandi verified functions for this library.

hive-jdbc-uber-jar Key Features

No Key Features are available at this moment for hive-jdbc-uber-jar.

hive-jdbc-uber-jar Examples and Code Snippets

No Code Snippets are available at this moment for hive-jdbc-uber-jar.

Community Discussions

Trending Discussions on hive-jdbc-uber-jar

Hive connection to dbvisualizer using Kerberos Authentication

QUESTION

Hive connection to dbvisualizer using Kerberos Authentication

Asked 2018-Feb-09 at 03:26

I am using windows machine and trying to setup hive with DbVisualizer using hive uber jar. However getting the error as mentioed below. Not sure why ? https://github.com/timveil/hive-jdbc-uber-jar

I am using following exe to generate keytab file on windows. http://web.mit.edu/KERBEROS/dist/index.html

And All the steps mentioned on the github page.

If I use user principal, I am getting following error.

dbc:hive2://aaa.corp.ad.abc:2181,bbbb.corp.ad.abc:2181,ccc.corp.ad.abc:2181/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=hiveserver2;principal=gaurang.shah@CORP.AD.ABC

Error Message

...

ANSWER

Answered 2018-Feb-09 at 03:26

Answer provided by Samson in the comment worked for me.

using prinicpal as hive/_HOST@CORP.AD.ABC resolved the issue.

Source https://stackoverflow.com/questions/48669013

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

Vulnerabilities

No vulnerabilities reported

Install hive-jdbc-uber-jar

Connecting a JDBC tool to a kerberized cluster is a bit more complicated than connecting to a non-kerberized cluster. Before getting started, ensure the following:.
The krb5.conf file on your workstation matches the one on your cluster
You have a valid kerberos principal that can access the appropriate services your custer
You can successfully kinit from your workstation against the realm specified in your krb5.conf file # for example, from my Mac, i execute the following command kinit -t /[path to my keytab]/tveil.keytab
You have installed the JCE jars in the correct place. The latest JCE jars have a modified date of 12/20/2013. In DbVisualizer go to "Help" > "About" > "System Properties" and look for the java.home entry. This should point to the JRE used by the tool. Make sure the updated JCE jars are the lib/security directory under this folder. In DataGrip - todo
To build locally, you must have Maven installed and properly configured. After that it's as simple as running mvn clean package. A file called hive-jdbc-uber-x.jar will be created in your target directory. The newly created jar will have the Hive JDBC driver as well as all required dependencies.

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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