create a sql query to a database that will parse 3 files in a folder and add info to a database in r

To create a SQL query that will parse 3 files in a folder and add info to a database in R, we can follow the steps below:

1. First, we need to connect to the database using R. We can use the DBI and odbc packages to do this.

library(DBI)
library(odbc)

conn <- dbConnect(odbc::odbc(), dsn = "dbname")
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2. Next, we need to read in the files from the folder using the list.files function in R. We can specify a pattern to match only the files we want to import.

file_pattern <- "*.csv"
folder_path <- "/path/to/folder"

file_list <- list.files(folder_path, pattern = file_pattern, full.names = TRUE)
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3. Once we have the list of files, we can use the read.csv function to read in each file as a data frame in R. We can then combine all the data frames using rbind and add a filename column to identify which file each row came from.

data_list <- lapply(file_list, read.csv)
data_full <- do.call(rbind, Map(cbind, filename = file_list, data_list))
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4. We can now use the dbWriteTable function in R to write the data to the database. We can also specify the table name and the database connection we established earlier.

table_name <- "my_table"

dbWriteTable(conn, table_name, data_full, overwrite = TRUE)
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5. Finally, we can close the database connection using the dbDisconnect function.

dbDisconnect(conn)
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Putting it all together, we have the following code:

library(DBI)
library(odbc)

conn <- dbConnect(odbc::odbc(), dsn = "dbname")

file_pattern <- "*.csv"
folder_path <- "/path/to/folder"

file_list <- list.files(folder_path, pattern = file_pattern, full.names = TRUE)

data_list <- lapply(file_list, read.csv)
data_full <- do.call(rbind, Map(cbind, filename = file_list, data_list))

table_name <- "my_table"
dbWriteTable(conn, table_name, data_full, overwrite = TRUE)

dbDisconnect(conn)
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This code will parse 3 csv files in a folder and add their content to a table named my_table in a database, assuming you have already created the table and the database connection.