#Open sqlite file in r code#

#Open sqlite file in r code#

This package is widely used because it needs the same R code to import data from different database system. RODBC package provides an interface to database sources supporting on ODBC interface. >dbGetQuery(Connection, paste(Row_Name, Variable_Name, Condition)) Using RODBC # Selecting from the loaded table as a query

>dbWriteTable(connection, “Column1”, Sample_Data, overwrite=True) dbReadTable and dbWriteTable functions are used to read and write the tables in Database from an R data frame.

dbHasCompleted is used to check is all the rows are retrieved.

fetch returns few or all rows that were asked in query.

dbClearResult removes the result from cache memory.

dbSendQuery only sends the query and returns an object of class inheriting from “DBIResult”, this object of class can be used to fetch the required result.

dbGetQuery sends the queries and fetches results as the data frame.

Learn Data Science by working on interesting Data Science Projects Packages such as RSQLite, RPostgreSQL and ROracle needs to be installed before working on these DBMS using their respective call functions, dbDriver(“SQLite”), dbDriver(“RPostgreSQL”), dbDriver(“Oracle”). The function dbDriver(“MySQL”) returns the database connection manager object, which can be followed up by functions like dbConnect and dbDisconnect to open a database connection and close the connection, respectively. The current version of this package requires DBI package to be pre-installed. RMySQL package is an interface to MySQL DBMS.

RMongo (This is an R interface for Java Client with MongoDB).RJDBC (This package uses Java and can connect to any DBMS with a JDBC driver).RSQLite (This packages is used for bundled DBMS SQLite).Some of the packages available on CRAN for importing data from Relational Database are: Some of these packages have the functionality of copying entire data frames to and from databases. A Relational Database Management System on the other hand is capable of providing fast access to selected portions of the big data, and can provide concurrent access from multiple users running on various hosts. There are various R packages that can be used to communicate with RDBMS, each with a different level of abstraction. R has certain limitation regarding the processing of extremely large dataset and doesn’t support concurrent access to data.