spark-essentials | The official repository for the Rock the JVM Spark Essentials with Scala course

by rockthejvm Scala Version: 7.4-taxi-4 License: No License

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

kandi X-RAY | spark-essentials Summary

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

This repository contains the code we wrote during Rock the JVM's Spark Essentials with Scala (Udemy version here) Unless explicitly mentioned, the code in this repository is exactly what was caught on camera.

Support

Quality

Security

License

Reuse

Support

spark-essentials has a low active ecosystem.

It has 208 star(s) with 283 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 6 have been closed. On average issues are closed in 7 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spark-essentials is 7.4-taxi-4

Quality

spark-essentials has 0 bugs and 0 code smells.

Security

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

spark-essentials code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spark-essentials 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

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

Installation instructions, examples and code snippets are available.

It has 983 lines of code, 15 functions and 18 files.

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

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spark-essentials Key Features

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spark-essentials Examples and Code Snippets

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Community Discussions

Trending Discussions on spark-essentials

Can we create a table using spark.sql api from the IDE

QUESTION

Can we create a table using spark.sql api from the IDE

Asked 2020-Jun-05 at 19:00

I'm on IntelliJ and my spark session looks like this -

...

ANSWER

Answered 2020-Jun-05 at 15:52

Last line in the stacktrace --

Caused by: java.lang.IllegalArgumentException: java.net.URISyntaxException: Relative path in absolute URI: file:src/main/resources/warehouse

-- hints that the proper way to set spark.sql.warehouse.dir is to supply an absolute path for metastore directory, something like file:////src/main/resources/warehouse.

Source https://stackoverflow.com/questions/62217638

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

Vulnerabilities

No vulnerabilities reported

Install spark-essentials

install Docker
either clone the repo or download as zip
open with IntelliJ as an SBT project
in a terminal window, navigate to the folder where you downloaded this repo and run docker-compose up to build and start the PostgreSQL container - we will interact with it from Spark
in another terminal window, navigate to spark-cluster/ and build the Docker-based Spark cluster with
when prompted to start the Spark cluster, go to the spark-cluster folder and run docker-compose up --scale spark-worker=3 to spin up the Spark containers