r-dbi / backends Goto Github PK

• Get number of package downloads from cranlogs, https://cranlogs.r-pkg.org/#jsonapi
• Get number of GitHub stars via stargazers
• More compact table in README, add badges

or perhaps OpenAPI?

The table should show an example of how to instantiate the driver object.

• different orderings
• list of maintainers, with links to packages maintained by that author
• list of packages with links
• paging

Always update Swagger file (#1), consider API versioning.

from Travis CI.

Is the time of last update (=commit timestamp) available in the response?

Hello,

I've created a backend to add Spark connection support using the SparkR library.

There are actually two libraries which permit Spark connection with R: SparkR and Sparklyr.
Even if the Sparklyr interface exists, SparkR is the Spark official one and allow the user to follow Spark syntax and perform lazy and distributed computation before data retrieval.
I think it would be useful for users working with the SparkR library to have a DBI interface to keep compatibility with many R tools and packages.

My package repository is: https://github.com/alibell/SparkR-DBI

Related PR: #77

Thank you

Hi

Here are 2 backends for neo4j (https://neo4j.com/):

• https://github.com/patzaw/neo2R that I maintain
• https://github.com/neo4j-rstats/neo4r maintained by Colin Fay

Thank you

Patrice

Hi

Because we needed secure connection to our ClickHouse instances and since it is not yet supported by RClickhouse, I've developed a ClickHouse R DBI based on ClickHouse HTTP interface. It supports HTTP and HTTPS connections (with or without ssl peer verification).

It's available on CRAN (https://cran.r-project.org/package=ClickHouseHTTP) and github (https://github.com/patzaw/ClickHouseHTTP).

It is slower than RClickhouse (mainly because of data format transformation). Thus, if you don't need SSL, I recommend to still use RClickhouse package.

I hope it helps anyway