r-dbi

For instance, how to execute the equivalent following SQL (which inserts into a BINARY(16) field) INSERT INTO Table1 (MD5) VALUES (X'6717f2823d3202449201145073ab871A'),(X'6717f2823d3202449301145073ab371A') using dbWriteTable() ? Doing dbWriteTable(db, "Table1", data.frame(MD5 = "X'6717f2823d3202449201145073ab871A'", ...), append = T, row.names = F) doesn't seem to work - it writes the values as text. In the end, I'm going to have a big data.frame of hashes that I want to write, and so perfect for using dbWriteTable . But I just can't figure out how to INSERT the data.frame into binary database

I can not connect to MSSQL using DBI package. I am trying the way shown in package itself m <- dbDriver("RODBC") # error Error: could not find function "RODBC" # open the connection using user, passsword, etc., as # specified in the file \file{\$HOME/.my.cnf} con <- dbConnect(m, dsn="data.source", uid="user", pwd="password")) Any help appreciated. Thanks It looks like there used to be a RODBC driver for DBI, but not any more: http://cran.r-project.org/src/contrib/Archive/DBI.RODBC/ A bit of tweaking has got this to install in a version 3 R but I don't have any ODBC sources to test it on. But m

I am working with large datasets and tidyr's spread usually gives me error messages suggesting failure to obtain memory to perform the operation. Therefore, I have been exploring dbplyr . However, as it says here , and also shown below, dbplyr::spread() does not work. My question here is whether there is another way to accomplish what tidyr::spread does while working with tbl_dbi and tbl_sql data without downloading to local memory. Using sample data from here , below I present what I get and what I would like to do and get. #sample tbl_dbi and tbl_sql data df_sample <- tribble(~group1,

I recently installed MySQL on my computer and am trying to connect RStudio to MySQL. I followed instructions in a book as well as instructions here . However, whenever I use dbConnect() or src_mysql in RStudio , I get this error message: Error in .local(drv, ...) : Failed to connect to database: Error: Plugin caching_sha2_password could not be loaded: The specified module could not be found For example, I might login to MySQL using the command prompt in Windows mysql -u username -p and create a database as follows CREATE DATABASE myDatabase; and then in RStudio: library(RMySQL) db <- dbConnect

I need to update column values conditionnaly on other columns in some PostgreSQL database table. I managed to do it writing an SQL statement in R and executing it with dbExecute from DBI package. library(dplyr) library(DBI) # Establish connection with database con <- dbConnect(RPostgreSQL::PostgreSQL(), dbname = "myDb", host="localhost", port= 5432, user="me",password = myPwd) # Write SQL update statement request <- paste("UPDATE table_to_update", "SET var_to_change = 'new value' ", "WHERE filter_var = 'filter' ") # Back-end execution con %>% dbExecute(request) Is it possible to do so using

My R workflow now involves dealing with a lot of queries ( RPostgreSQL library). I really want to make code easy to maintain and manage in the future. I started loading large queries from separate .SQL files ( this helped) and it worked great. Then I started using interpolated values ( that helped) which means that I can write SELECT * FROM table WHERE value = ?my_value; and (after loading it into R) interpolate it using sqlInterpolate(ANSI(), query, value = "stackoverflow") . What happens now is I want to use something like this SELECT count(*) FROM ?my_table; but how can I make it work?