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I'm trying to create a web service for My R Script that takes a CSV as an input and does analytics on it and then returns it. I am a complete beginner at this and have found out a couple of ways for doing this would be to use OpenCPU or Plumber. Is there any advantage of choosing one over the other?
OpenCPU is surely a good option. But, as you mentioned above you are a beginner, thus I will suggest you use Plumber. Plumber is less complex to understand, and it surely is quite powerful to read CSV files and run analytics smoothly.
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I‘m a new to clickhouse, and already read "druid vs clickhouse", but still don't know which situation can use clickhouse. I know they are good OLAP engines。
Druid is an excellent timing database。 At large data scale, it can provide ad-hoc aggregate queries，clickhouse too；
They have similar disadvantages, such as slow data writing。
Which engine should I do with OLAP？
This is the great article https://leventov.medium.com/comparison-of-the-open-source-olap-systems-for-big-data-clickhouse-druid-and-pinot-8e042a5ed1c7
Either your organization should have engineers who are able to read, understand and modify the source code of the chosen system, and have capacity to do that. Note that ClickHouse is written in C++, Druid and Pinot — in Java.
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I have a R script written for some analytical application. I wanted to make it as launch-able service which can run run periodically on Cloudera cluster. I know for Python we can run it via spark-submit but I need it for R.
Any help or pointers would be appreciated.
Same as Python or Scala or Java programs, SparkR programs can be submitted via spark-submit:
spark-submit /path/to/your/script.R
so you can use the same methods that you'd use for any other supported language.
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I am trying to benchmark some R code, which will be run on several machines with very different levels of perforamnce to more fully understand its behavior. I am writing log files, but I would like to include in those log files the system specifications of the machine running the code. Sys.info() does not provide the information I'm looking for which would be things like available RAM, processor type, etc. Is there an alternate command or package I should look at to get this information?
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I wrote a simple R program and want to share it with my office. Most people in my office are not familiar with R and I imagine it could be kind of confusing for them to install R and all the required packages.
Is there an easy way I can share an R script that can take user inputs & share output that doesn't require R installation on the user's end? I'm thinking something like Shiny, but for desktop use.
Your users can run R in an R jupyter notebook that you have set up in advance on some server. Then it's not a "desktop app" per se but it's going to look like it is running in their local web browser like Firefox or Chrome etc. Sharing R code you wrote will work excellently this way.
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In some crucial projects I relelized that time is one of the biggest concern while developing a project, specially a web application.
Specifically about ASP.NET, does any Open Source tools exists for generating code for helping developers [like codesmith] to work smarter rather than work harder?
I think T4 templates is what you need.
Check this out: http://msdn.microsoft.com/en-us/library/bb126445.aspx
I'm not sure if your problem is that you want a code generator or something to help you generate automated tests to be run in different browsers. Since codesmith does .NET I'll assume you wanted automated tests for various browsers.
Check out selenium