Henry Luan
This RShiny app summarizes large tables stored in database servers. It allows large, high-dimensional datasets to be summarized in R (size of local RAM <<< size of tables) in a way that R can’t handle with your computer’s local RAM.
If you want to understand the core functions used to create this web
app, you can go to my other github
page for understanding
the package sql.mechanic that I created.
To use the RShiny app, just download this folder and run “table-summarizer.R”.
-
You probably want to understand how Example 2 (part of my package called “sql.mechanic”) affects the CPU and disk usage of your database server, to avoid bad surprises on your server’s resource usage.
-
If you use the setup of Example 2 (part of my package called “sql.mechanic”) on a cloud database, you MUST do some testing, to understand how the example affects the CPU and disk usage of your cloud resource. Please avoid potentially expensive mistakes.
-
Currently, I designed the app to work only with Microsoft SQL Server and Netezza databases. Feel free to contribute to the codes, if interested.