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https://github.com/r-dbi/rpostgres
A DBI-compliant interface to PostgreSQL
https://github.com/r-dbi/rpostgres
database postgres postgresql r
Last synced: 6 days ago
JSON representation
A DBI-compliant interface to PostgreSQL
- Host: GitHub
- URL: https://github.com/r-dbi/rpostgres
- Owner: r-dbi
- License: other
- Created: 2015-01-05T17:43:02.000Z (almost 10 years ago)
- Default Branch: main
- Last Pushed: 2024-10-28T02:05:09.000Z (9 days ago)
- Last Synced: 2024-10-29T20:56:01.568Z (7 days ago)
- Topics: database, postgres, postgresql, r
- Language: R
- Homepage: https://rpostgres.r-dbi.org
- Size: 13.4 MB
- Stars: 334
- Watchers: 25
- Forks: 79
- Open Issues: 24
-
Metadata Files:
- Readme: README.md
- Contributing: .github/CONTRIBUTING.md
- License: LICENSE
- Code of conduct: .github/CODE_OF_CONDUCT.md
- Security: .github/security.md
Awesome Lists containing this project
README
# RPostgres
[](https://github.com/r-dbi/RPostgres/actions)
[](https://app.codecov.io/gh/r-dbi/RPostgres?branch=main)
[](https://CRAN.R-project.org/package=RPostgres)
RPostgres is an DBI-compliant interface to the postgres database. It's a ground-up rewrite using C++ and [cpp11](https://github.com/r-lib/cpp11). Compared to RPostgreSQL, it:
* Has full support for parameterised queries via `dbSendQuery()`, and `dbBind()`.
* Automatically cleans up open connections and result sets, ensuring that you
don't need to worry about leaking connections or memory.
* Is a little faster, saving ~5 ms per query. (For reference, it takes around 5ms
to retrieve a 1000 x 25 result set from a local database, so this is
decent speed up for smaller queries.)
* A simplified build process that relies on system libpq.
## Installation
```R
# Install the latest RPostgres release from CRAN:
install.packages("RPostgres")
# Or the the development version from GitHub:
# install.packages("remotes")
remotes::install_github("r-dbi/RPostgres")
```
Discussions associated with DBI and related database packages take place on [R-SIG-DB](https://stat.ethz.ch/mailman/listinfo/r-sig-db).
The website [Databases using R](https://db.rstudio.com/) describes the tools and best practices in this ecosystem.
## Basic usage
```R
library(DBI)
# Connect to the default postgres database
con <- dbConnect(RPostgres::Postgres())
dbListTables(con)
dbWriteTable(con, "mtcars", mtcars)
dbListTables(con)
dbListFields(con, "mtcars")
dbReadTable(con, "mtcars")
# You can fetch all results:
res <- dbSendQuery(con, "SELECT * FROM mtcars WHERE cyl = 4")
dbFetch(res)
dbClearResult(res)
# Or a chunk at a time
res <- dbSendQuery(con, "SELECT * FROM mtcars WHERE cyl = 4")
while(!dbHasCompleted(res)){
chunk <- dbFetch(res, n = 5)
print(nrow(chunk))
}
# Clear the result
dbClearResult(res)
# Disconnect from the database
dbDisconnect(con)
```
## Connecting to a specific Postgres instance
```R
library(DBI)
# Connect to a specific postgres database i.e. Heroku
con <- dbConnect(RPostgres::Postgres(),dbname = 'DATABASE_NAME',
host = 'HOST', # i.e. 'ec2-54-83-201-96.compute-1.amazonaws.com'
port = 5432, # or any other port specified by your DBA
user = 'USERNAME',
password = 'PASSWORD')
```
## Design notes
The original DBI design imagined that each package could instantiate X drivers, with each driver having Y connections and each connection having Z results. This turns out to be too general: a driver has no real state, for PostgreSQL each connection can only have one result set. In the RPostgres package there's only one class on the C side: a connection, which optionally contains a result set. On the R side, the driver class is just a dummy class with no contents (used only for dispatch), and both the connection and result objects point to the same external pointer.
---
Please note that the 'RPostgres' project is released with a
[Contributor Code of Conduct](https://rpostgres.r-dbi.org/CODE_OF_CONDUCT.html).
By contributing to this project, you agree to abide by its terms.