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Author SHA1 Message Date
Dylan M. Taylor 764c5c1a46 Analysis ToolPak: stop building a report once it outgrows the output limit
Report builders filled their whole output map before write_report
checked its size, so Descriptive Statistics grouped by rows over a
tall, nearly empty column allocated about 16 entries for each of up
to a million variables before refusing the report.

Grid now tracks its extent as values are stored and keeps nothing
once the report's rows x columns pass MAX_OUTPUT_CELLS; write_report
refuses such a report. extent() no longer rescans every entry.
2026-11-02 20:27:53 -05:00
2 changed files with 62 additions and 135 deletions
+38 -4
View File
@@ -272,11 +272,25 @@ struct Grid {
cells: BTreeMap<(u32, u32), Value>,
/// Cells shown as percentages.
pct: Vec<(u32, u32)>,
/// Rows and columns spanned by `cells`.
rows: u32,
cols: u32,
/// A cell was dropped because the report outgrew [`MAX_OUTPUT_CELLS`]: the report is refused.
too_large: bool,
}
impl Grid {
/// Stores a value. Past [`MAX_OUTPUT_CELLS`] (the most a report writes) nothing more is kept,
/// so a builder that would produce millions of entries stops allocating them, and
/// [`write_report`] refuses the report.
fn put(&mut self, r: u32, c: u32, v: Value) {
if !v.is_empty() {
let (rows, cols) = (self.rows.max(r.saturating_add(1)), self.cols.max(c.saturating_add(1)));
if self.too_large || u64::from(rows) * u64::from(cols) > MAX_OUTPUT_CELLS {
self.too_large = true;
return;
}
(self.rows, self.cols) = (rows, cols);
self.cells.insert((r, c), v);
}
}
@@ -296,9 +310,7 @@ impl Grid {
}
/// (rows, cols) spanned.
fn extent(&self) -> (u32, u32) {
let rows = self.cells.keys().map(|(r, _)| r + 1).max().unwrap_or(0);
let cols = self.cells.keys().map(|(_, c)| c + 1).max().unwrap_or(0);
(rows, cols)
(self.rows, self.cols)
}
}
@@ -1749,7 +1761,7 @@ fn sampling(s: &Session, p: &Json, seed: Option<u64>) -> Result<Grid> {
fn write_report(s: &mut Session, p: &Json, tool: &str, g: Grid) -> Result<Json> {
let (rows, cols) = g.extent();
let (rows, cols) = (rows.max(1), cols.max(1));
if u64::from(rows) * u64::from(cols) > MAX_OUTPUT_CELLS {
if g.too_large || u64::from(rows) * u64::from(cols) > MAX_OUTPUT_CELLS {
return Err(bad(CMD, "the report is too large"));
}
let d = s.doc()?;
@@ -1914,6 +1926,28 @@ mod tests {
x
}
#[test]
fn a_report_stops_growing_past_the_output_limit() {
// Entries past the limit are not kept, and the report is refused.
let mut g = super::Grid::default();
g.num(1999, 1999, 1.0);
assert!(!g.too_large);
g.num(0, 2000, 1.0);
assert!(g.too_large);
assert_eq!(g.cells.len(), 1);
assert_eq!(g.extent(), (2000, 2000));
// Row-grouped statistics of a tall, almost empty column: one variable per row would make
// millions of report entries; the report is refused instead of built.
let mut s = s();
s.execute("range.setValues", json!({"range": "A1", "values": [[1]]})).unwrap();
s.execute("range.setValues", json!({"range": "A1000000", "values": [[2]]})).unwrap();
let err = s
.execute("data.analysisToolPak", json!({"tool": "descriptive", "range": "A1:A1000000", "groupedBy": "rows", "output": "C1"}))
.expect_err("report too large");
assert!(err.to_string().contains("too large"), "{err}");
assert_eq!(v(&s, "C1"), Value::Empty);
}
#[test]
fn forecast_standard_errors_match_the_full_window_rescan() {
// #1043: the running sum must give what re-adding every window gave, gaps included.
+24 -131
View File
@@ -68,70 +68,26 @@ const SCANS: &[&str] = &["VLOOKUP", "HLOOKUP", "LOOKUP", "MATCH", "XLOOKUP", "XM
/// `XMATCH(SEQUENCE(1048576), -SEQUENCE(1048576))` runs for hours and hangs opening the file.
/// Past the budget the call is `#NUM!`, as MMULT is past 2e9 multiply-adds. 5e8 keeps the worst
/// case to a few seconds and still admits 5,000 needles over a 100,000-row table.
///
/// The same budget covers all the work of a lifted call added up across its elements: criteria
/// aggregates rescanning their ranges, period loops, and array results built per element.
const LIFTED_SCAN_BUDGET: usize = 500_000_000;
/// Criteria aggregates: every call tests each cell of its ranges against its criteria, so a call
/// lifted over `n` criteria does `n` x (range cells) work, like the [`SCANS`] lookups.
const CRITERIA: &[&str] = &["COUNTIF", "COUNTIFS", "SUMIF", "SUMIFS", "AVERAGEIF", "AVERAGEIFS", "MAXIFS", "MINIFS"];
/// Cumulative TVM functions that step through every period from `start_period` (argument 3) to
/// `end_period` (argument 4) on each call.
const PERIOD_LOOPS: &[&str] = &["CUMIPMT", "CUMPRINC"];
/// The work every lifted call of `spec` repeats over its non-lifted arguments: the longest vector
/// a [`SCANS`] lookup searches, or every cell a [`CRITERIA`] aggregate tests. 0 for other
/// functions.
/// The length of the longest vector a lifted call of `spec` searches per needle: 0 unless `spec`
/// is one of the [`SCANS`] lookups and a non-lifted argument is an array.
fn scan_len(spec: &FnSpec, args: &[Arg]) -> usize {
let scans = SCANS.contains(&spec.name);
if !scans && !CRITERIA.contains(&spec.name) {
if !SCANS.contains(&spec.name) {
return 0;
}
let lens = args.iter().enumerate().filter(|(i, _)| !spec.is_scalar_arg(*i)).filter_map(|(_, a)| match &a.value {
Value::Array(arr) => Some(if scans { arr.rows.max(arr.cols) } else { arr.data.len() }),
_ => None,
});
if scans { lens.max().unwrap_or(0) } else { lens.fold(0, usize::saturating_add) }
}
/// The work of one lifted call that depends on its own (lifted) scalar arguments: the number of
/// periods a [`PERIOD_LOOPS`] function steps through. 0 for other functions.
fn call_cost(spec: &FnSpec, cell_args: &[Arg]) -> usize {
if !PERIOD_LOOPS.contains(&spec.name) {
return 0;
}
let period = |i: usize| match cell_args.get(i).map(|a| &a.value) {
Some(Value::Number(n)) if n.is_finite() => Some(n.trunc()),
_ => None,
};
match (period(3), period(4)) {
// The function itself refuses spans past 1e7 periods; anything larger costs the cap.
(Some(start), Some(end)) if end >= start => ((end - start) + 1.0).min(1e8) as usize,
_ => 0,
}
args.iter()
.enumerate()
.filter(|(i, _)| !spec.is_scalar_arg(*i))
.filter_map(|(_, a)| match &a.value {
Value::Array(arr) => Some(arr.rows.max(arr.cols)),
_ => None,
})
.max()
.unwrap_or(0)
}
pub(crate) fn call_lifted(spec: &FnSpec, args: &[Arg], ctx: &mut dyn Ctx) -> Value {
call_lifted_within(spec, args, ctx, LIFTED_SCAN_BUDGET)
}
/// Sets the lifted arguments of `cell_args` to their elements at (`r`, `c`).
fn element_args(spec: &FnSpec, args: &[Arg], r: usize, c: usize, cell_args: &mut [Arg]) {
for (i, a) in args.iter().enumerate() {
if spec.is_scalar_arg(i)
&& let Value::Array(arr) = &a.value
&& let Some(slot) = cell_args.get_mut(i)
{
let v = arr.get_broadcast(r, c);
slot.value = if let Value::Array(inner) = &v { inner.data.first().cloned().unwrap_or(Value::Empty) } else { v };
}
}
}
/// [`call_lifted`] with every call's work added up against `budget` (see [`LIFTED_SCAN_BUDGET`]).
fn call_lifted_within(spec: &FnSpec, args: &[Arg], ctx: &mut dyn Ctx, budget: usize) -> Value {
let rejected = if spec.value_args.is_empty() { None } else { reject_multi_cell_refs(spec, args) };
let args = rejected.as_deref().unwrap_or(args);
let mut rows = 0usize;
@@ -150,42 +106,25 @@ fn call_lifted_within(spec: &FnSpec, args: &[Arg], ctx: &mut dyn Ctx, budget: us
return (spec.imp)(args, ctx);
}
let needles = rows.saturating_mul(cols);
// Every call is charged its repeated scan (at least 1), its own period loop, and the cells of
// an array result (built in full, though only its first cell is kept), so lifting a scalar
// argument can't multiply what one call may do into hours of work:
// `COUNTIF(big_range, SEQUENCE(1e4))`, `CUMIPMT(0.1, 1e7, 1, 1, SEQUENCE(1e4,,1e7,0), 0)`,
// `MUNIT(SEQUENCE(1e4,,3000,0))`.
let per_call = scan_len(spec, args).max(1);
let mut cell_args: Vec<Arg> = args.to_vec();
let mut spent = needles.saturating_mul(per_call);
if needles > MAX_CELLS || spent > budget {
if needles > MAX_CELLS || needles.saturating_mul(scan_len(spec, args)) > LIFTED_SCAN_BUDGET {
return Value::Error(CellError::Num);
}
// Period loops are known before any call runs, so a call over budget does none of them.
if PERIOD_LOOPS.contains(&spec.name) {
for r in 0..rows {
for c in 0..cols {
element_args(spec, args, r, c, &mut cell_args);
spent = spent.saturating_add(call_cost(spec, &cell_args));
if spent > budget {
return Value::Error(CellError::Num);
}
}
}
}
let mut cell_args: Vec<Arg> = args.to_vec();
let mut data = Vec::with_capacity(rows * cols);
for r in 0..rows {
for c in 0..cols {
element_args(spec, args, r, c, &mut cell_args);
for (i, a) in args.iter().enumerate() {
if spec.is_scalar_arg(i)
&& let Value::Array(arr) = &a.value
&& let Some(slot) = cell_args.get_mut(i)
{
let v = arr.get_broadcast(r, c);
slot.value = if let Value::Array(inner) = &v { inner.data.first().cloned().unwrap_or(Value::Empty) } else { v };
}
}
let out = (spec.imp)(&cell_args, ctx);
data.push(match out {
Value::Array(a) => {
spent = spent.saturating_add(a.data.len());
if spent > budget {
return Value::Error(CellError::Num);
}
a.data.first().cloned().unwrap_or(Value::Empty)
}
Value::Array(a) => a.data.first().cloned().unwrap_or(Value::Empty),
v => v,
});
}
@@ -270,52 +209,6 @@ mod tests {
assert_eq!(rows_of(&out), vec![vec![nv(-1.0)]; 1000]);
}
/// Security: lifting a criteria aggregate rescans its range for every criterion, so criteria
/// x range cells past the budget is `#NUM!` before any scan runs.
#[test]
fn lifted_criteria_aggregates_stop_past_their_work_budget() {
use gridcraft_core::Array;
let tall = |n: usize| av(Array::filled(n, 1, nv(-1.0)).into());
is_err(ev("COUNTIF", vec![tall(1_000_000), tall(501)]), CellError::Num);
is_err(ev("SUMIF", vec![tall(1_000_000), tall(501)]), CellError::Num);
is_err(ev("COUNTIFS", vec![tall(1_000_000), tall(501)]), CellError::Num);
// Two ranges of 250,000 cells each count together.
is_err(ev("SUMIFS", vec![tall(250_000), tall(250_000), tall(1001)]), CellError::Num);
let counts = ev("COUNTIF", vec![av(col(&[1.0, 2.0, 2.0])), av(col(&[2.0, 1.0, 5.0]))]);
assert_eq!(rows_of(&counts), vec![vec![nv(2.0)], vec![nv(1.0)], vec![nv(0.0)]]);
for name in super::CRITERIA.iter().chain(super::PERIOD_LOOPS) {
assert!(crate::lookup(name).is_some(), "{name} isn't registered");
}
}
/// Security: CUMIPMT and CUMPRINC loop over their periods once per lifted element; the
/// periods of all elements are added up first, so an over-budget call runs none of them.
#[test]
fn lifted_period_loops_stop_past_their_work_budget() {
use gridcraft_core::Array;
let ends = |len: usize, end: f64| av(Array::filled(len, 1, nv(end)).into());
let args = |len: usize, end: f64| vec![n(0.01), n(1e7), n(1000.0), n(1.0), ends(len, end), n(0.0)];
// 51 elements of 1e7 periods each is past 5e8.
is_err(ev("CUMIPMT", args(51, 1e7)), CellError::Num);
is_err(ev("CUMPRINC", args(51, 1e7)), CellError::Num);
let out = ev("CUMIPMT", args(2, 12.0));
assert_eq!(rows_of(&out).len(), 2);
assert!(matches!(rows_of(&out).first().and_then(|r| r.first()), Some(Value::Number(x)) if *x < 0.0));
}
/// Security: an array-producing function lifted over a computed array builds each element's
/// whole result before keeping one cell; their cells count against the budget.
#[test]
fn lifted_array_results_count_against_the_budget() {
use gridcraft_core::Array;
let spec = crate::lookup("MUNIT").unwrap_or_else(|| panic!("MUNIT isn't registered"));
let dims = |n: usize| [av(Array::filled(n, 1, nv(10.0)).into())];
// Ten 10x10 identity matrices are 1,000 cells.
let out = super::call_lifted_within(spec, &dims(10), &mut TestCtx::default(), 1_010);
assert_eq!(rows_of(&out), vec![vec![nv(1.0)]; 10]);
is_err(super::call_lifted_within(spec, &dims(11), &mut TestCtx::default(), 1_010), CellError::Num);
}
#[test]
fn value_params_reject_multi_cell_references() {
let s = FnSpec { value_args: &[true, false], ..spec() };