I'd like to pull some data from a sql server with a dynamic filter. I'm using the great R package dplyr in the following way:
#Create the filter filter_criteria = ~ column1 %in% some_vector #Connect to the database connection <- src_mysql(dbname <- "mydbname", user <- "myusername", password <- "mypwd", host <- "myhost") #Get data data <- connection %>% tbl("mytable") %>% #Specify which table filter_(.dots = filter_criteria) %>% #non standard evaluation filter collect() #Pull data
This piece of code works fine but now I'd like to loop it somehow on all the columns of my table, thus I'd like to write the filter as:
#Dynamic filter i <- 2 #With a loop on this i for instance which_column <- paste0("column",i) filter_criteria <- ~ which_column %in% some_vector
And then reapply the first code with the updated filter.
Unfortunately this approach doesn't give the expected results. In fact it does not give any error but doesn't even pull any result into R. In particular, I looked a bit into the SQL query generated by the two pieces of code and there is one important difference.
While the first, working, code generates a query of the form:
SELECT ... FROM ... WHERE `column1` IN ....
(` sign in the column name), the second one generates a query of the form:
SELECT ... FROM ... WHERE 'column1' IN ....
(' sign in the column name)
Does anyone have any suggestion on how to formulate the filtering condition to make it work?
It's not really related to SQL. This example in R does not work either:
df <- data.frame( v1 = sample(5, 10, replace = TRUE), v2 = sample(5,10, replace = TRUE) ) df %>% filter_(~ "v1" == 1)
It does not work because you need to pass to filter_
the expression ~ v1 == 1
— not the expression ~ "v1" == 1
.
To solve the problem, simply use the quoting operator quo
and the dequoting operator !!
library(dplyr) which_column = quot(v1) df %>% filter(!!which_column == 1)
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