RMySQL | Legacy DBI interface for MySQL | Database library
kandi X-RAY | RMySQL Summary
kandi X-RAY | RMySQL Summary
this package is being phased out in favor of the new [RMariaDB] package. [CRAN RStudio mirror downloads] RMySQL is a database interface and MySQL driver for R. This version complies with the database interface definition as implemented in the package DBI 0.2-2.
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RMySQL Examples and Code Snippets
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Trending Discussions on RMySQL
QUESTION
Trying to have a pie (or preferably, donut) chart that displays totals per category and that allows a drilldown to display specifics per category when clicked. Make sense?
I think I might not have every system setting correct, since also copy/paste standard examples render an empty page. Unless that's somehow outdated or something. My system: Ubuntu 20.04, R 4.0.5, packageVersion("shiny") 1.6.0, shiny-server --version 1.5.16.958 Blank examples: https://plotly-r.com/linking-views-with-shiny.html#drill-down and Creating drill down report in R Shiny (amongst others)
My current attempt (not reactive yet because I can't for the life of me figure it out):
...ANSWER
Answered 2021-May-11 at 07:19The key is to use input$donut_selected, the automatically generated _selected-suffixed input, see https://davidgohel.github.io/ggiraph/articles/offcran/shiny.html#access-the-selected-values.
Like so:
QUESTION
I have following DF:
DF<-
...ANSWER
Answered 2021-Feb-12 at 08:52Create three intermediate objects (df1, df2 and df3) and proceed as follows
QUESTION
I am trying to run MySQL in an R script running inside a Docker (actually Rocker) container, but am getting an error on the “install_packages(…” step. The only solution I found that was somewhat similar was specific to running RedHat Linux (I am running Mac OS X 10.15) and the solution included pointing to several directories that I do not have. Running under RStudio or from the command line, RMySQL loads without a problem.
Dockerfile:
...ANSWER
Answered 2021-Feb-11 at 20:13I believe that rocker/r-dev does not include the libraries you need to get this to run. Untested, but try something like this.
Dockerfile
QUESTION
I have a weird problem: Using RMySQL from Shiny (running locally) I have no problem to retrieve data from MySQL database (small table, few rows only). But once the app is deployed (shinyapps.io) the query result contains zero rows (but column names are fine). Looking at the shinyapps.io log:
...ANSWER
Answered 2021-Jan-14 at 16:23Ok, I have no idea why, but looks like changing table engine fix the issue
ALTER TABLE table_name ENGINE = InnoDB
QUESTION
I have a below mentioned dataframe in R which I'm fetching from database using RMySQL on interval of 3 hours.
Query:
...ANSWER
Answered 2020-Dec-20 at 20:05*Edited to add: I understand your question better now; you just want to append the new entries because someone else with access to your google sheet may have reviewed and made edits to previously uploaded entries. Most of my answer will remain the same as before.
Try using the googlesheets4 package instead of googlesheets.
This is what worked for me.
QUESTION
I am relatively new to R language and I'm facing difficulty doing hash password. The one that I,ve done only manage to hash the first column. I want to hash each column respectively.
...ANSWER
Answered 2020-Dec-14 at 10:47You use the data.frame you are building from query result as column in your final expression.
A data.frame is a list of columns. data.frame function when given a list of columns (this is what happens when you provide user=(sqluser)) is able to cope with and will handle this a individual columns in the final data.frame (that is user will get the single column in sqluser). The problem is in your call to sapply((sqlpassword), ...) that will not iterate on individual passwords but on columns of sqlpassword data.frame) which combined with the fact that when provided a vector of string, sodium::password_store will return a single value. Not what you expect !
so the better code is
QUESTION
I want to set up a RDBMS for structured time series data of limited size (about 6000 series, 50mb of data) at various frequencies (daily, monthly, quarterly, annual CY and annual FY), and I want to run SQL queries on the database (mostly join various tables by time). The database is updated once a month. The variable names of the tables in this database are rather technical not very informative. The raw data is labeled as shown in the table below (example of a monthly table).
I started setting this up in MySQL and figured that just equipping tables with appropriate temporal identifiers gives me the join functionality I want. I could however not find out how to store the variable labels appropriately. Is it possible to somehow add attributes to the columns? Or can I link a table to the table mapping labels to the column names, such that it is carried along in joins? Or should I set this up using a different kind of database? (database must be easy to set up and host though, and SQL is strongly preferred). I am grateful for any advice.
Update: I figured you can add comments to MySQL columns and tables, but it seems these cannot be queried in a standard way or carried along in joins. Is it possible to retrieve the information in the comments along with the queried data from a standard database connector (like this one for the R language: https://github.com/r-dbi/RMySQL)? Below a DDL example for tables with variable labels as comments.
...ANSWER
Answered 2020-Nov-27 at 13:42I would structure your data differently. I would put all your measures in a single table and have a single measure per row. I would then add a DATE table (so that you have the week/month/quarter/year values for each metric date) and a METRIC_TYPE table that holds the labels for each metric code.
By normalising the data like this I think you have a more flexible design and it'll allow you to do what you want.
This is only for illustration of what I mean - it is not meant to be a definitive design:
QUESTION
I want to fetch data from mysql with seqlpro in R but when I run the query it takes ages. here is my code :
...ANSWER
Answered 2020-Sep-30 at 16:33I think an alternative is to upload the ids you need into a temporary table, and query for everything at once.
QUESTION
I have a dataset in DB, and based on user selection, I'd like to build a bar plot using render plot in r shiny. I was able to get the data and display it as a table using renderTable, but I was not able to create renderPlot. I'm also trying to get the data from server to UI in the form of dataframe, currently, I'm getting it as dataTable.
P.S: This is my first time learning R Shiny. Just trying to understand the dynamics of this language.
Here is my code.
...ANSWER
Answered 2020-Aug-04 at 09:31First you need to render your chart to output$protein_data not to output$data as it doesn't exist anymore on your second script.
Then change the barplot arguments to barplot(age~name, data = df)
QUESTION
Recently my R on Windows 10 breaks down when trying to connect to a MySQL database using RMariaDB. The same error occurs when using RMySQL drivers as well. The error just appeared. The exact same code worked flawlessly about a year ago.
I am using the following code:
...ANSWER
Answered 2020-Jul-18 at 00:30default.file is a configuration file, not a certificate.
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