RSQLite (version 2.2.14)

SQLite: Connect to an SQLite database


Together, SQLite() and dbConnect() allow you to connect to a SQLite database file. See DBI::dbSendQuery() for how to issue queries and receive results.



# S4 method for SQLiteConnection dbConnect(drv, ...)

# S4 method for SQLiteDriver dbConnect( drv, dbname = "", ..., loadable.extensions = TRUE, default.extensions = loadable.extensions, cache_size = NULL, synchronous = "off", flags = SQLITE_RWC, vfs = NULL, bigint = c("integer64", "integer", "numeric", "character"), extended_types = FALSE )

# S4 method for SQLiteConnection dbDisconnect(conn, ...)



In previous versions, SQLite() took arguments. These have now all been moved to dbConnect(), and any arguments here will be ignored with a warning.

drv, conn

An objected generated by SQLite(), or an existing '>SQLiteConnection. If an connection, the connection will be cloned.


The path to the database file. SQLite keeps each database instance in one single file. The name of the database is the file name, thus database names should be legal file names in the running platform. There are two exceptions:

  • "" will create a temporary on-disk database. The file will be deleted when the connection is closed.

  • ":memory:" or "file::memory:" will create a temporary in-memory database.


When TRUE (default) SQLite3 loadable extensions are enabled. Setting this value to FALSE prevents extensions from being loaded.


When TRUE (default) the initExtension() function will be called on the new connection.Setting this value to FALSE requires calling initExtension() manually.


Advanced option. A positive integer to change the maximum number of disk pages that SQLite holds in memory (SQLite's default is 2000 pages). See for details.


Advanced options. Possible values for synchronous are "off" (the default), "normal", or "full". Users have reported significant speed ups using sychronous = "off", and the SQLite documentation itself implies considerable improved performance at the very modest risk of database corruption in the unlikely case of the operating system (not the R application) crashing. See for details.


SQLITE_RWC: open the database in read/write mode and create the database file if it does not already exist; SQLITE_RW: open the database in read/write mode. Raise an error if the file does not already exist; SQLITE_RO: open the database in read only mode. Raise an error if the file does not already exist


Select the SQLite3 OS interface. See for details. Allowed values are "unix-posix", "unix-unix-afp", "unix-unix-flock", "unix-dotfile", and "unix-none".


The R type that 64-bit integer types should be mapped to, default is bit64::integer64, which allows the full range of 64 bit integers.


When TRUE columns of type DATE, DATETIME / TIMESTAMP, and TIME are mapped to corresponding R-classes, c.f. below for details. Defaults to FALSE.


SQLite() returns an object of class '>SQLiteDriver.

dbConnect() returns an object of class '>SQLiteConnection.

Extended Types

When parameter extended_types = TRUE date and time columns are directly mapped to corresponding R-types. How exactly depends on whether the actual value is a number or a string:

Column type Value is numeric Value is Text R-class
DATE Count of days since 1970-01-01 YMD formatted string (e.g. 2020-01-23) Date
TIME Count of (fractional) seconds HMS formatted string (e.g. 12:34:56) hms (and difftime)
DATETIME / TIMESTAMP Count of (fractional) seconds since midnight 1970-01-01 UTC DATE and TIME as above separated by a space POSIXct with time zone UTC

If a value cannot be mapped an NA is returned in its place with a warning.


Connections are automatically cleaned-up after they're deleted and reclaimed by the GC. You can use DBI::dbDisconnect() to terminate the connection early, but it will not actually close until all open result sets have been closed (and you'll get a warning message to this effect).

See Also

The corresponding generic functions DBI::dbConnect() and DBI::dbDisconnect().


Run this code
# Initialize a temporary in memory database and copy a data.frame into it
con <- dbConnect(RSQLite::SQLite(), ":memory:")
dbWriteTable(con, "USArrests", USArrests)

# Fetch all query results into a data frame:
dbGetQuery(con, "SELECT * FROM USArrests")

# Or do it in batches
rs <- dbSendQuery(con, "SELECT * FROM USArrests")
d1 <- dbFetch(rs, n = 10) # extract data in chunks of 10 rows
d2 <- dbFetch(rs, n = -1) # extract all remaining data

# clean up
# }

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