set automatically allocates new column slots if needed

NEWS.md

@@ -24,6 +24,8 @@
 
 1. `fread()` with `skip=0` and `(header=TRUE|FALSE)` no longer skips the first row when it has fewer fields than subsequent rows, [#7463](https://github.com/Rdatatable/data.table/issues/7463). Thanks @emayerhofer for the report and @ben-schwen for the fix.
 
+2. `set()` now automatically pre-allocates new column slots if needed, similar to what `:=` already does, [#1831](https://github.com/Rdatatable/data.table/issues/1831) [#4100](https://github.com/Rdatatable/data.table/issues/4100). Thanks to @zachokeeffe and @tyner for the report and @ben-schwen for the fix.
+
 ## data.table [v1.18.0](https://github.com/Rdatatable/data.table/milestone/37?closed=1)  23 December 2025
 
 ### BREAKING CHANGE

R/data.table.R

@@ -2857,7 +2857,8 @@ setcolorder = function(x, neworder=key(x), before=NULL, after=NULL, skip_absent=
 set = function(x,i=NULL,j,value)  # low overhead, loopable
 {
   # If removing columns from a table that's not selfrefok, need to call setalloccol first, #7488
-  if ((is.null(value) || (is.list(value) && any(vapply_1b(value, is.null)))) && selfrefok(x, verbose=FALSE) < 1L) {
+  if (((is.null(value) || (is.list(value) && any(vapply_1b(value, is.null)))) && selfrefok(x, verbose=FALSE) < 1L) ||
+    truelength(x) <= length(x)) { # automatically allocate more space when tl <= ncol (either full or loaded from disk)
     name = substitute(x)
     setalloccol(x, verbose=FALSE)
     if (is.name(name)) {

inst/tests/froll.Rraw

@@ -2084,7 +2084,8 @@ if (use.fork) {
   test(6010.772, .selfref.ok(ans[[2L]]))
   ans = frollapply(1:2, 2, function(x) list(data.table(x)), fill=list(data.table(NA)), simplify=FALSE)
   test(6010.773, !.selfref.ok(ans[[2L]][[1L]]))
-  test(6010.7731, set(ans[[2L]][[1L]],, "newcol", 1L), error="data.table has either been loaded from disk")
+  # deactivated by #5443
+  # test(6010.7731, set(ans[[2L]][[1L]],, "newcol", 1L), error="data.table has either been loaded from disk")
   ans = lapply(ans, lapply, setDT)
   test(6010.774, .selfref.ok(ans[[2L]][[1L]])) ## fix after
   ans = frollapply(1:2, 2, function(x) list(data.table(x)), fill=list(data.table(NA)), simplify=function(x) lapply(x, lapply, setDT))

inst/tests/tests.Rraw

@@ -14797,7 +14797,7 @@ test(2016.1, name, "DT")
 test(2016.2, DT, data.table(a=1:3))
 test(2016.3, DT[2,a:=4L], data.table(a=INT(1,4,3)))        # no error for := when existing column
 test(2016.4, set(DT,3L,1L,5L), data.table(a=INT(1,4,5)))   # no error for set() when existing column
-test(2016.5, set(DT,2L,"newCol",5L), error="either been loaded from disk.*or constructed manually.*Please run setDT.*setalloccol.*on it first")   # just set()
+test(2016.5, set(DT,2L,"newCol",5L), data.table(a=INT(1,4,5), newCol=INT(NA,5L,NA)))   # works since set overallocates #4100
 test(2016.6, DT[2,newCol:=6L], data.table(a=INT(1,4,5), newCol=INT(NA,6L,NA)))  # := ok (it changes DT in caller)
 unlink(tt)
 
@@ -19478,7 +19478,7 @@ test(2290.4, DT[, `:=`(a = 2, c := 3)], error="It looks like you re-used `:=` in
 df = data.frame(a=1:3)
 setDT(df)
 attr(df, "att") = 1
-test(2291.1, set(df, NULL, "new", "new"), error="either been loaded from disk.*or constructed manually.*Please run setDT.*setalloccol.*on it first")
+test(2291.1, set(df, NULL, "new", "new"), setattr(data.table(a=1:3, new="new"), "att", 1)) # fixed when calling setalloccol before set #4100
 
 # ns-qualified bysub error, #6493
 DT = data.table(a = 1)
@@ -21959,3 +21959,12 @@ test(2355.1, fread(txt, skip=0),              data.table(V1 = c("b1", "c1"), a1
 test(2355.2, fread(txt, skip=0, header=TRUE), data.table(V1 = c("b1", "c1"), a1 = c("b2", "c2"), a2 = c("b3", "c3")), warning="Added an extra default column name")
 test(2355.3, fread(txt, skip=0, header=FALSE), data.table(V1=character(), V2=character(), V3=character()), warning="Consider fill=TRUE")
 test(2355.4, fread(txt, skip=0, fill=TRUE), data.table(V1 = c("a1", "b1", "c1"), V2 = c("a2", "b2", "c2"), V3 = c("", "b3", "c3")))
+
+# re-overallocate in set if quota is reached #496 #1831 #4100
+DT = data.table()
+test(2356.1, options=c(datatable.alloccol=1L), {for (i in seq(10L)) set(DT, j = paste0("V",i), value = i); ncol(DT)}, 10L)
+DT = structure(list(a = 1, b = 2), class = c("data.table", "data.frame"))
+test(2356.2, options=c(datatable.alloccol=1L), set(DT, j="c", value=3), data.table(a=1, b=2, c=3))
+# ensure := and set are consistent if they need to overallocate
+DT = data.table(); DT2 = data.table()
+test(2356.3, options=c(datatable.alloccol=1L), {for (i in seq(10L)) set(DT, j = paste0("V",i), value = i)}, {for (i in seq(10)) DT2[, sprintf("V%d",i) := i]})