Remote-Spark | Remote Starter example that 's a customize-able simple | Frontend Framework library

by technobly JavaScript Version: Current License: No License

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kandi X-RAY | Remote-Spark Summary

Remote-Spark is a JavaScript library typically used in User Interface, Frontend Framework, React applications. Remote-Spark has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A Remote Starter example that’s a customize-able simple Spark Core web app controller with feedback through Variables.

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Quality

Security

License

Reuse

Support

Remote-Spark has a low active ecosystem.

It has 26 star(s) with 31 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

Remote-Spark has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Remote-Spark is current.

Quality

Remote-Spark has 0 bugs and 0 code smells.

Security

Remote-Spark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Remote-Spark code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Remote-Spark 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

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

Remote-Spark saves you 261 person hours of effort in developing the same functionality from scratch.

It has 633 lines of code, 0 functions and 5 files.

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

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Remote-Spark Key Features

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Remote-Spark Examples and Code Snippets

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Community Discussions

Trending Discussions on Remote-Spark

Connecting to remote Dataproc master in SparkSession

No remote Sparkclr jar found; please specify one with --remote-sparkclr-jar

Submit a Spark application that connects to a Cassandra database from IntelliJ IDEA

QUESTION

Connecting to remote Dataproc master in SparkSession

Asked 2019-Nov-13 at 21:55

I created a 3 node (1 master, 2 workers) Apache Spark cluster in on Google Cloud Dataproc. I'm able to submit jobs to the cluster when connecting through ssh with the master, however I can't get it work remotely. I can't find any documentation about how to do this except for a similar issue on AWS but that isn't working for me.

Here is what I am trying

...

ANSWER

Answered 2019-Nov-13 at 21:55

So there is a few things to unpack here.

The first thing I want to make sure you understand is when exposing your distributed computing framework to ingress traffic you should be very careful. If Dataproc exposed a Spark-Standalone cluster on port 7077, you would want to make sure that you lock down that ingress traffic. Sounds like you know that by wanting a VM on a shared VPC, but this is pretty important even when testing if you open up firewalls.

The main problem it looks like you're having though is that you appear to be trying to connect as if it was a Spark-Standalone cluster. Dataproc actually uses Spark on YARN. To connect, you will need to set the Spark Cluster Manager type to "yarn" and correctly configure your local machine to talk to a remote YARN cluster, either by setting up a yarn-site.xml and having the HADOOP_CONF_DIR point to it or by directly setting YARN properties like yarn.resourcemanager.address via spark-submit --conf.

Also note this is similar to this question once you know that Dataproc uses YARN: Scala Spark connect to remote cluster

Source https://stackoverflow.com/questions/58838594

QUESTION

No remote Sparkclr jar found; please specify one with --remote-sparkclr-jar

Asked 2017-Jul-20 at 06:33

I am submitting an application using sparkclr-submit to spark standalone cluster using

...

ANSWER

Answered 2017-Jul-20 at 06:33

I got an answer from the repository itself of Mobius on GitHub Microsoft/Mobius about this sparkclr-jar

i need to pass a jar file available in dependencies of that directory.

it was inside

Source https://stackoverflow.com/questions/45190854

QUESTION

Submit a Spark application that connects to a Cassandra database from IntelliJ IDEA

Asked 2017-Apr-26 at 13:25

I found a similar question here: How to submit code to a remote Spark cluster from IntelliJ IDEA

I want to submit a Spark application to a cluster on which Spark and Cassandra are installed.

My Application is on a Windows OS. The application is written in IntelliJ using:

Maven
Scala
Spark

Below is a code snippet:

...

ANSWER

Answered 2017-Apr-26 at 13:25

In order to launch your application it should persist on cluster in other words your packaged jar should reside or in HDFS or in every node of your cluster at same path. Then you can use ssh client or RESTfull interface or whatever enables triggering spark-submit command.

Source https://stackoverflow.com/questions/43634388

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

Vulnerabilities

No vulnerabilities reported

Install Remote-Spark

You can download it from GitHub.

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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