MySQL Data Type Mapping in R

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There was a recent question in the /r/Rlanguage subreddit which piqued my interest. They asked how to find the right mapping, and with the large number of data types I wondered if there was a good way to dynamically discover how fields are cast.

First step is to decide how to communicate with the database. I used the package RMySQL for this.


Now to connect to the DB. I am running this locally. Make sure to use a password, even locally.


I included two different queries. The one below grabs all of the rows from the table.

q <- "SELECT * FROM main"
rows <- dbGetQuery(db_sql, q)

We get a couple warnings with the current table.

Warning messages:
1: In .local(conn, statement, ...) :
  Unsigned INTEGER in col 0 imported as numeric
2: In .local(conn, statement, ...) :
  unrecognized MySQL field type 7 in column 5 imported as character

We can use this loop to get the column name and data type for the imported dataframe.

for(column in names(rows)) {
  print(paste0(column,": ",typeof(rows[[column]])))

We get this nice output.

[1] "id: double"
[1] "char_test: character"
[1] "float_test: double"
[1] "bool_test: integer"
[1] "double_test: double"
[1] "timestamp_test: character"
[1] "datetime_test: character"
[1] "date_test: character"

The column names in MySQL were the data type followed by _test. As you can see, they were not all imported with a matching data type.

We can get a 1:1 mapping of the column type in MySQL and imported data type in R with the following piece of code.

schema <- dbGetQuery(db_sql, q)
print(data.frame(SQL = schema$DATA_TYPE, R = as.vector(sapply(rows,typeof))))

This gives us a nice printout of a new dataframe created on the fly.

SQL         R
1       int    double
2      char character
3     float    double
4   tinyint   integer
5    double    double
6 timestamp character
7  datetime character
8      date character

And of course we need to close the connection if no more queries need to be made.


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