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Home/ Questions/Q 995801
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Editorial Team
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Editorial Team
Asked: May 16, 20262026-05-16T06:46:44+00:00 2026-05-16T06:46:44+00:00

I am using a the RSQLite library in R in to manage a data

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I am using a the RSQLite library in R in to manage a data set that is too large for RAM. For each regression I query the database to retrieve a fiscal year at a time. Now I have the fiscal year hard-coded:

data.annual <- dbGetQuery(db, "SELECT * FROM annual WHERE fyear==2008")

I would like to make the fiscal year (2008 above) to make changes a bit easier (and fool-proof). Is there a way that I can pass a variable into SQL query string? I would love to use:

fiscal.year <- 2008
data.annual <- dbGetQuery(db, "SELECT * FROM annual WHERE fyear==fiscal.year")
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  1. Editorial Team
    Editorial Team
    2026-05-16T06:46:44+00:00Added an answer on May 16, 2026 at 6:46 am

    SQLite will only see the string passed down for the query, so what you do is something like

      sqlcmd <- paste("SELECT * FROM annual WHERE fiscal=", fiscal.year, sep="")
      data.annual <- dbGetQuery(db, sqlcmd)
    

    The nice thing is that you can use this the usual way to unwind loops. Forgetting for a second that you have ram restrictions, conceptually you can do

      years <- seq(2000,2010)
      data <- lapply(years, function(y) {
         dbGetQuery(db, paste("SELECT * FROM annual WHERE fiscal=", y, sep="")
      }
    

    and now data is a list containing all your yearly data sets. Or you could keep the data, run your regression and only store the summary object.

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