knitr::opts_chunk$set(connection = "con", max.print = 5)
eval_dbi <- FALSE if(Sys.getenv("GLOBAL_EVAL") != "") eval_dbi <- Sys.getenv("GLOBAL_EVAL")
library(DBI)
DBIConnecting and adding data to a database
Load the DBI package
r
library(DBI)
Use dbConnect to open a database connection
r
con <- dbConnect(RSQLite::SQLite(), "mydatabase.sqlite")
Use dbListTables() to view existing tables, there should be 0 tables
r
dbListTables(con)
Use dbWriteTable() to create a new table using mtcars data. Name it db_mtcars
r
dbWriteTable(con, "db_mtcars", mtcars)
Use dbListTables() to view existing tables, it should return db_mtcars
r
dbListTables(con)
Use dbGetQuery() to pass a SQL query to the database
r
dbGetQuery(con, "select * from db_mtcars")
Close the database connection using dbDisconnect()
r
dbDisconnect(con)
Understand how certain arguments in dbWriteTable() work
Use dbConnect() to open a Database connection again
r
con <- dbConnect(RSQLite::SQLite(), "mydatabase.sqlite")
Use dbWriteTable() to re-create the db_mtcars table using mtcars data
r
dbWriteTable(con, "db_mtcars", mtcars)
Error: Table db_mtcars exists in database, and both overwrite and append are FALSE
Use the append argument in dbWriteTable() to add to the data in the db_mtcars table
r
dbWriteTable(con, "db_mtcars", mtcars, append = TRUE)
Using dbGetQuery(), check the current record count of db_mtcars with the following query: "select count() from db_mtcars"
r
dbGetQuery(con, "select count() from db_mtcars")
Use the overwrite argument to dbWriteTable() to replace the data in the db_mtcars table
r
dbWriteTable(con, "db_mtcars", mtcars, overwrite = TRUE)
Check the record count of db_mtcars again
r
dbGetQuery(con, "select count() from db_mtcars")
Understand how to use dbSendStatement() and dbExecute() to modify the database
Use dbSendStatement() to pass a SQL commands that deletes any automatic car from db_mtcars: "delete from db_mtcars where am = 1". Load the command to a variable called rs
r
rs <- dbSendStatement(con, "delete from db_mtcars where am = 1")
Call the rs variable to view information about the results of the requested change
r
rs
Use dbHasCompleted() to confirm that the job is complete
r
dbHasCompleted(rs)
Use dbGetRowsAffected() to see the number of rows that were affected by the request
r
dbGetRowsAffected(rs)
Clear the results using dbClearResult()
r
dbClearResult(rs)
Confirm that the result set has been removed by calling the rs variable once more
r
rs
Check the record count of db_mtcars again, the new count should be 19 (32 original records - 13 deleted records)
r
dbGetQuery(con, "select count() from db_mtcars")
Use dbWriteTable() to overwrite db_mtcars with the value of mtcars
r
dbWriteTable(con, "db_mtcars", mtcars, overwrite = TRUE)
Use dbExeceute() to delete rows where am = 1 using the same query as before. Load the results in a variable called rs
r
rs <- dbExecute(con, "delete from db_mtcars where am = 1")
rs contains the number of rows affected by the statement that was executed
r
rs
Check the record count of db_mtcars again.
r
dbGetQuery(con, "select count() from db_mtcars")
knitr SQL engineSee how to run SQL queries as code chunks
Start a new code chunk, but using sql instead of r as the first argument of the chunk. Also add connection=con as another argument of the chunk.
r ''````{sql, connection=con}
select * from db_mtcarsr ''````
```{sql, connection=con, echo = FALSE} select * from db_mtcars
1. Add the `max.print` options to the chunk, and set it to 5
`r ''````{sql, connection=con, max.print = 5}
select * from db_mtcars
`r ''````
```{sql, connection=con, echo = FALSE, max.print = 5}
select * from db_mtcars
Set defaults for the sql chunks by using the knitr::opts_chunk$set() command in the setup at the beginning of the document.
r ''````r
knitr::opts_chunk$set(connection = "con", max.print = 5)r ''````
Run the same query in a new sql chunk, but without any other argument
r ''````{sql}
select * from db_mtcarsr ''````
```{sql, echo = FALSE} select * from db_mtcars
1. Store the results of the query into an R object called `local_mtcars` using
the `output.var` option.
```{sql, output.var = "local_mtcars"}
select * from db_mtcars
local_mtcars
dbDisconnect()dbDisconnect(con)
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