I think you can do this: ids <- dbGetQuery(conn, "SELECT id FROM my_table") other_table <- dbGetQuery(conn, sprintf("SELECT * FROM my_other_table WHERE t1_id in (%s)", paste(ids, collapse = ",")))
On Wed, Jun 9, 2010 at 11:24 PM, Ted Byers <r.ted.by...@gmail.com> wrote: > I have not found anything about this except the following from the DBI > documentation : > > Bind variables: the interface is heavily biased towards queries, as opposed > > to general > > purpose database development. In particular we made no attempt to define > > bind > > variables; this is a mechanism by which the contents of R/S objects are > > implicitly > > moved to the database during SQL execution. For instance, the following > > embedded SQL statement > > /* SQL */ > > SELECT * from emp_table where emp_id = :sampleEmployee > > would take the vector sampleEmployee and iterate over each of its > elements > > to get the result. Perhaps the DBI could at some point in the future > > implement > > this feature. > > > > I can connect, and execute a SQL query such as "SELECT id FROM my_table", > and display a frame with all the IDs from my_table. But I need also to do > something like "SELECT * FROM my_other_table WHERE t1_id = x" where 'x' is > one of the IDs returned by the first select statement. Actually, I have to > do this in two contexts, one where the data are not ordered by time and one > where it is (and thus where I'd have to use TSMySQL to execute something > like "SELECT record_datetime,value FROM my_ts_table WHERE t2_id = x"). > > I'd like to embed this in a loop where I iterate over the IDs returned by > the first select, get the appropriate data from the second for each ID, > analyze that data and store results in another table in the DB, and then > proceed to the next ID in the list. I suppose an alternative would be to > get all the data at once, but the resulting resultset would be huge, and I > don't (yet) know how to take a subset of the data in a frame based on a > given value in one ot the fields and analyze that. Can you point me to an > example of how this is done, or do I have to use a mix of perl (to get the > data) and R (to do the analysis)? > > Any insights on how to proceed would be appreciated. Thanks. > > Ted > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O [[alternative HTML version deleted]]
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