Using SQLite in R

September 16, 2014

(This article was first published on Digital Hardcore » rbloggers, and kindly contributed to R-bloggers)

Working on big data requires a clean and robust approach on storing and accessing the data. SQLite is an all inclusive server-less database system in a single file. This is very convenient for data exchange between colleagues. Here is a workflow of SQLite data accessing and data storing in R.

Connect to an SQLite database file and get a table directly to a data.frame data-type. Useful when handling big chunks of data or when analyzing subsets of data which can be retrieved via an SQLite query.

Source code    
  1. library("RSQLite")
  2. # connect to the sqlite file
  3. con = dbConnect(drv="SQLite", dbname="country.sqlite")
  4. # get a list of all tables
  5. alltables = dbListTables(con)
  6. # get the populationtable as a data.frame
  7. p1 = dbGetQuery( con,'select * from populationtable' )
  8. # count the areas in the SQLite table
  9. p2 = dbGetQuery( con,'select count(*) from areastable' )
  10. # find entries of the DB from the last week
  11. p3 = dbGetQuery(con, "SELECT population WHERE DATE(timeStamp) < DATE('now', 'weekday 0', '-7 days')")
  12. #Clear the results of the last query
  13. dbClearResult(p3)
  14. #Select population with managerial type of job
  15. p4 = dbGetQuery(con, "select * from populationtable where jobdescription like '%manager%'")

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