sbt-spark | Simple SBT plugin to configure Spark applications

by alonsodomin Scala Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | sbt-spark Summary

sbt-spark is a Scala library typically used in Big Data, Spark applications. sbt-spark has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is a very simple plugin focused on adding all the boilerplate that you need to configure a Spark application in SBT so you do not have to.

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Quality

Security

License

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Support

sbt-spark has a low active ecosystem.

It has 25 star(s) with 4 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 688 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sbt-spark is current.

Quality

sbt-spark has 0 bugs and 0 code smells.

Security

sbt-spark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

sbt-spark code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sbt-spark is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

sbt-spark releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

It has 186 lines of code, 10 functions and 6 files.

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

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sbt-spark Key Features

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sbt-spark Examples and Code Snippets

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Community Discussions

Trending Discussions on sbt-spark

SBT run with provided works under the '.' projects but fails with no mercy under any subprojects

Unable to instantiate external Hive Metastore in Postgres / driver not found in classpath

QUESTION

SBT run with provided works under the '.' projects but fails with no mercy under any subprojects

Asked 2021-Dec-29 at 08:55

I'm working with latest sbt.version=1.5.7.

My assembly.sbt is nothing more than addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "1.1.0") .

I have to work with a subprojects due to requirement need.

I am facing the Spark dependencies with provided scope similar to this post: How to work efficiently with SBT, Spark and "provided" dependencies?

As the above post said, I can manage to Compile / run under the root project but fails when Compile / run in the subproject.

Here's my build.sbt detail:

...

ANSWER

Answered 2021-Dec-27 at 04:45

Please try to add dependsOn

Source https://stackoverflow.com/questions/70485137

QUESTION

Unable to instantiate external Hive Metastore in Postgres / driver not found in classpath

Asked 2020-Apr-19 at 22:15

I am using Cloudera CDH 6.3 with Spark 2.4.4. SparkConf() has config that connects to external Hive Postgres Metastore. Upon running below Scala code

...

ANSWER

Answered 2020-Apr-17 at 15:06

Solved by including postgres library to build.sbt file as dependency

https://mvnrepository.com/artifact/org.postgresql/postgresql/42.2.12

Pyspark doesnot need explicit addition of dependencies like scala. Hence the same program ran successfully with python spark.sql api.

Error of unable to instantiate hive metastore in the starting was misleading. Had to read complete error log to find out the exact cause. Keeping postgres library in spar/conf folder or setting class path to postgres driver in basrc is of no use.

Source https://stackoverflow.com/questions/61259975

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