Harold,
I don't have much experience with ODBC/RODBC, but given that it's working on
Win, a driver problem seems plausible.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
Lab cell 925-724-7509
On 7/26/18, 9:37 AM, "Doran, Harold" <hdo...@air.org> wrote:
Thanks for this. I'm using the RODBC stuff now. It works well and is
currently embedded in a shiny app. So, the entire SQL stuff is transparent to
the user who simply interacts with the UI. It appears to be working in a local
windows version. That is, I can successfully open the connection, do my
sqlQuery, and save those data as objects in the R session.
But when I run the same code on my dev server (which runs Centos 7), the
code is breaking and it is seemingly related to the driver. It just cannot open
the connection. That portion of my code is (with certain things blanked out for
security):
cn <- odbcDriverConnect(connection="Driver={SQL Server Native Client 11.0};
server=1.1.1.1;
database=xyz;
uid=*****;
pwd=***;"
)
I'm doing my homework now on the right drivers that might be appropriate
for centos, but if anyone happens to know, hints are appreciated
Harold
-----Original Message-----
From: MacQueen, Don [mailto:macque...@llnl.gov]
Sent: Thursday, July 26, 2018 11:26 AM
To: Doran, Harold <hdo...@air.org>; 'r-help@r-project.org'
<r-help@r-project.org>
Subject: Re: [R] SQL Database
From my point of view, the logic is this:
If the external database is Oracle, use ROracle
If the external database is MySQL, use RMySQL and similarly for other
databases
If there is no R package specific to the database, then you drop back to
RODBC or RJDBC. Hopefully you can get the necessary drivers or java files to
support the database
Your steps look good (I do them all the time with Oracle and MySQL), and
realize that you don't have to grab an entire table; you can send SQL queries
that join tables and subset rows, etc. You can also write results back to the
database if that's useful.
I prefer to use packages that are based on the DBI package.
-Don
--
Don MacQueen
Lawrence Livermore National Laboratory
7000 East Ave., L-627
Livermore, CA 94550
925-423-1062
Lab cell 925-724-7509
On 7/25/18, 7:57 AM, "R-help on behalf of Doran, Harold"
<r-help-boun...@r-project.org on behalf of hdo...@air.org> wrote:
I'm doing some work now to learn which SQL database package is the most
optimal for the task I am working on. There are many packages, and I'm
reviewing the documentation on some of them now. I am seeking advice from those
of you who might suggest a package to use for the task I am currently working
with.
The work is currently as follows. My users currently use another tool
to extract tables from a server, save those tables as .csv files, and then
those csv files are read into R and stuff is done on the data in those files.
This adds overhead that can be bypassed if users instead can directly access
the database from within R and grab the tables they need and then those tables
are data frames in the R session and available to do stuff.
The sequence of work (I think) I just this:
Step 1: Connect to the remote server (connection string and
authenticate the user)
Step 2: Have a SQL query statement that grabs the tables from the
remote server
Step 3: Close the connection
The two packages I have narrowed my studies to are Dbplyr and RODBC,
both of which seem to be similar.
Any experiences out there to suggest these two packages are in fact
right for this task, or would there be other packages that might be more
optimal for this?
Thanks,
Harold
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