Here is a more stripped down variant generates and error on OS X for me:
mkEg <- function(tm) list(scrunge = as.POSIXct(tm))
extract <- function(db) {
e<- new.env()
lazyLoad(db, e)
as.list( e)
}
eg <- mkEg("2009-11-04 12:49:53")
eg1 <- mkEg("2009-11-04 12:49:28")
tools:::makeLazyLoadDB( eg, '/tmp/ll')
extract('/tmp/ll') # force; OK
tools:::makeLazyLoadDB( eg1, '/tmp/ll')
extract('/tmp/ll')
Changing the second set of /tmp/ll makes the symptom go away.
I believe this comes down to unintended use of the lazyload mechanism
-- in particular it is not intended that a database be rewritten after
it has been loaded. There is a chaching mechanism for improved
performance on slow file systems, and I believe what is happening is
that the new indices are being used to look in the old chached
data. There might be some merit in having lazyLoad call
R_lazyLoadDBflush.
luke
On Tue, 3 Nov 2009, Seth Falcon wrote:
Hi,
On 11/3/09 6:51 PM, mark.braving...@csiro.au wrote:
file.copy( 'd:/temp/Rdiff.Rd', 'd:/temp/scrunge.Rd') # Rdiff.Rd from
'tools' package source
eglist<- list( scrunge=parse_Rd( 'd:/temp/scrunge.Rd'))
tools:::makeLazyLoadDB( eglist, 'd:/temp/ll')
e<- new.env()
lazyLoad( 'd:/temp/ll', e)
as.list( e) # force; OK
eglist1<- list( scrunge=parse_Rd( 'd:/temp/Rdiff.Rd'))
tools:::makeLazyLoadDB( eglist1, 'd:/temp/ll')
e<- new.env()
lazyLoad( 'd:/temp/ll', e)
as.list( e) # Splat
It doesn't make any difference which file I process first; the error comes
the second time round.
If I adjust this example in terms of paths and run on OS X, I get the
following error on the second run:
as.list(e) # Splat
Error in as.list.environment(e) : internal error -3 in R_decompress1
I haven't looked further yet.
+ seth
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Luke Tierney
Chair, Statistics and Actuarial Science
Ralph E. Wareham Professor of Mathematical Sciences
University of Iowa Phone: 319-335-3386
Department of Statistics and Fax: 319-335-3017
Actuarial Science
241 Schaeffer Hall email: l...@stat.uiowa.edu
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