store_in_DB | R Documentation |
Write, read and delete tables from SQLite database.
list_DB(database) write_to_DB( database, data, table, overwrite = FALSE, append = FALSE, verbose = TRUE ) index_DB(database, table, index.unique, index.column.name, verbose = TRUE) read_from_DB( database, table, choose.columns = FALSE, column.names, select = FALSE, select.column.name, select.val, unique = FALSE ) delete_from_DB(database, table, verbose = TRUE)
database |
character; SQLite database name and path. |
data |
data frame that should be stored as database table. |
table |
character; table name. |
overwrite |
logical; use |
append |
logical; append rows to table |
verbose |
logical; show messages |
index.unique |
logical; vector of indicators to create unique or not unique indexes |
index.column.name |
vector of indexed columns' names |
choose.columns |
logical; return chosen columns only |
column.names |
character; vector of name of columns that are chosen to be returned |
select |
logical; return only rows that contain selected values in one column |
select.column.name |
character; name of column that contains selected values |
select.val |
vector of values that define rows that should be returned |
unique |
logical; delete duplicated rows |
This functions help to store big data frames in SQLite database which makes it faster to save and read the data.
This function creates SQLlite connection to database, fulfills the task and then disconnects. If no database has been created yet, creates one.
Do not use overwrite = TRUE
if table does not exists.
Do not use append = TRUE
and overwrite = TRUE
at the same time, no append is possible while overwriting.
If multiple indexes are created in one table, they are unrelated.
Do not use dots in data frame character variables, use underscore.
Parameters choose.columns=FALSE, column.names, select, select.column.name, select.val, unique
are only used with
linkread_from_DB function. Those parameters define rows and columns that will be returned.
list_DB
returns character vector of names of database tables.
read_from_DB
returns a data frame with the content of SQLite table.
list_DB
: Lists all tables from SQLite database
write_to_DB
: Writes data frame into SQLite database table
index_DB
: Creates SQLite indexes in database table
read_from_DB
: Reads table from SQLite database and writes it into data frame.
delete_from_DB
: Deletes table from SQLite database.
Elena N. Filatova
mydata <- as.data.frame (matrix(1:10, 2, 5)) database <- tempfile() write_to_DB (database, data = mydata, table = "table1", overwrite = FALSE) list_DB (database) mydata2 <- as.data.frame (matrix(11:20, 2, 5)) write_to_DB (database, data = mydata2, table = "table1", overwrite = TRUE) mydata3 <- read_from_DB (database, table = "table1") delete_from_DB (database, table = "table1") file.remove (database) # example with reading table with restricted columns and rows. mydata <- data.frame(ids = c(1:6), titles = c("A", "B", "C", "D", "E", "E"), other = rep("other", 6)) database <- tempfile() write_to_DB (database, data = mydata, table = "table1", overwrite = FALSE) read_from_DB(database, "table1", choose.columns = TRUE, column.names = c("ids", "titles", "other"), select = TRUE, select.column.name = "ids", select.val = 3:6, unique = TRUE) read_from_DB(database, "table1", choose.columns = TRUE, column.names = c("titles", "other"), select = TRUE, select.column.name = "ids", select.val = 3:6, unique = TRUE) file.remove (database)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.