I want to analysis my pl/sql code from sonar cube which hosted in server with version 8.9.7
Could you please help me with the steps
Related
I have a R code and I want to perform static code analysis on the code and in turn want sonarqube to consume the report generated. I want to achieve this through Azure pipelines.
what are the steps to achieve this? I have found lintr which can be used for scanning R code.
Not sure how to execute the analysis in pipeline..should it be done in sonaranalysis step?
It is possible to run a R script with Pentaho, but instead of export the result as a csv file, insert the result directly into a table on a DB?
Using the Community Edition of Pentaho, you could use a script executor step to execute a shell script in your OS to do all the work, including inserting to the database, which is not much Pentaho related, all the work is done by the shell script and you just use Pentaho to call the execution of that script.
There's also a very old plugin available in Github that I don't know if it would work with modern versions of Pentaho and R, to execute R code within Pentaho and then continue the stream of data to "normal" steps like the table output to insert the data to a table.
These are the details to configure that plugin from the developers:
http://dekarlab.de/wp/?p=5
I have a dynamic code in a .sql file implementing which is kinda hard using RSQLite sqldf.
Can we do something that runs the entire code in SQL Server itself ? The only thing that happens through R is the activation of the code and the transfer of the first major dataset that into the SQL Server.
I have seen
sqlQuery()
and
sqldf()
But have not found any way to actually run the entire .sql file in SQL Server itself
Thanks
I wanted to execute R code from SSIS package. How can I add a data control step that executes R-code? SSIS supports only vb.net and asp.net.
SSIS has many data transformations available but R is very friendly when it comes to data manipulations.
I want to run a R-code from SSIS scripts or some other way.Basically, I'm trying to integrate R in ETL process.
I wanted to extract data(E) from from a CSV file.
Transform (T) it in R and load (L) it in Microsoft database.
Is it possible to get this workflow done in SSIS package by executing R-script using SSIS data control items? Thanks!
Here are a couple of ways you could integrate R into your ETL process.
Crude, fast and dirty - Execute Process Task in the Control Flow. This would be similar to calling RScript from the command line. You would likely make your transformation, save it to a file on disk, and get that filename from your Execute Process Task so you can feed it into a Data Flow task. Upside is you're keeping your R clean and separate from your C#/VB.
Integrated via Rdotnet - You could use the RDotNet library (I believe, haven't tried to integrate it). You would need to register the DLLs in the GAC, and then you can either work with .NET objects in your SSIS scripts or call R scripts directly.
Integrated in SQL Server 2016 - Microsoft has added R support via extended stored procedures. You call the R script via stored proc and use a sql query for input data and can store the output. See more detail here. This would mean utilizing an Execute SQL task in SSIS.
I hope it helps you or someone else, since you want data processing you might bring your dataset into a CSV file (throught a data flow task), execute the file using: "Rscript " (it might be executed as a command with the execute process task), inside the file you have to upload the dataset into a dataframe ( calling it with readLines() function), then do all the math/Calculation you request, write the data or calculation results into a CSV file an reading again it from SSIS.
It is not an elegant solution, but it works :), At least till microsoft integrates R as a control/data flow process.
CYA
PS. here you go how to execute files from the command line: Run R script from command line
Recently tableau gave the functionality of R connection in their release 8.1. I want to know if there is any way i can call an entire table created in R to tableau. Or an .rds object which contains the dataset into Tableau?
There is a tutorial on the Tableau website for this and a blog on r-bloggers which discuss. The tutorial has a number of comments and one of them (in early Dec I think) asks how to get an rds file in. You need to start Rserve and then execute a script on it to get your data.
Sorry I can't be more help as I only looked into it briefly and put it on the back-burner but if you get stuck they seem to come back quickly if you post a comment on the page:
http://www.tableausoftware.com/about/blog/2013/10/tableau-81-and-r-25327
Just pointing out that the Tableau Data Extract API might be useful here, even if the current version of R integration doesn't yet meet your needs. (Note, that link is to the version 8.1 docs released in late 2013 - so look for the latest version to see what functionality they've added since)
If what you want to do is to manipulate data in R and then send a table of data to Tableau for visualization, you could first try the simple step of exporting the data from R as a CSV file and then visualizing that data in Tableau. I know that's not sexy, but its always good to make sure you've got a way to get the output result you need before investing time in optimizing the process.
If that gets the effect you want, but you just want to automate more of the steps, then take a look at the Tableau Data Extract API. You could use that library to generate a Tableau Data Extract instead of a CSV file. If you have something in production that needs updates, then you could presumably create a python script or JVM program to read your RDS file periodically and generate a revised extract.
Let us assume your data.frame/ tibble etc (say dataset object) is ready in R/ RStudio and you want to connect it with Tableau
1. In RStudio (or R terminal), execute the following steps:
install.packages("Rserve")
library(Rserve)
Rserve() ##This gets the R connection service up and running
2. Now go to Tableau (I am using 10.3.2):
Help > Settings and Performances > Manage External Service Connection
Enter localhost in the Server field and click on Test Connection.
You have now established a connection between R and Tableau.
3. Come back to RStudio. Now we need a .rdatafile that will consist of our R object(s). In this case, dataset. This is the R object that we want to use in Tableau. Enter this in the R console:
save(dataset, file="objectName.rdata")
4. Switch to Tableau now.
Connect To a File > Statistical File
Go to your working directory where the newly created objectName.rdata resides. From the drop down list of file type, select R files (*.rdata, *.rda) and select your object. This will open the object you created in R in Tableau. Alternatively, you can drag and drop your object directly to Tableau's workspace.