duckdb/arrow: CWE-407 scan — 4 DuckDB defects, 2 Arrow defects

DuckDB (C++ query engine):
- duckdb-0001: Binder::AddCorrelatedColumn vector dedup O(C²) MEDIUM 200x
- duckdb-0002: HasCorrelatedExpressions vector scan O(N×M) MEDIUM 100x
- duckdb-0003: ComputeOverlappingBindings vector scan O(N×H) MEDIUM 219x
- duckdb-0004: Deliminator group-join binding check O(G×J) MEDIUM 125x

Apache Arrow (C++ analytics):
- arrow-0001: AsofJoin IsTimeOrKeyColumn vector scan O(F×K) MEDIUM 114x
- arrow-0002: Scanner AddFieldsNeededForFilter vector dedup O(F×C) MEDIUM 250x

All 6/6 unit tests PASS.
This commit is contained in:
russell@unturf.com 2026-03-30 10:10:27 -04:00
parent 0772cf539a
commit 6b975a3b9e
13 changed files with 959 additions and 184 deletions

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import java.util.*;
/**
* CWE-407 unit tests for DuckDB defects.
*
* duckdb-0001: src/planner/binder.cpp Binder::AddCorrelatedColumn()
* std::find over correlated_columns vector -> O(C²) dedup.
* Fix: shadow HashSet for O(1) Contains().
*
* duckdb-0002: src/planner/subquery/has_correlated_expressions.cpp
* outer loop over correlated_columns × inner std::find -> O(N×M).
* Fix: use CorrelatedColumns::Contains() O(1).
*
* duckdb-0003: src/optimizer/build_probe_side_optimizer.cpp
* ComputeOverlappingBindings: for each needle, std::find in haystack -> O(N×H).
* Fix: unordered_set for haystack -> O(N+H).
*
* duckdb-0004: src/optimizer/deliminator.cpp
* For each aggregate group, std::find in join_bindings -> O(G×J).
* Fix: unordered_set for join_bindings -> O(G+J).
*/
public class DuckDBTest {
// --- Simulate ColumnBinding ---
static class ColumnBinding {
final long tableIndex;
final long columnIndex;
ColumnBinding(long t, long c) { this.tableIndex = t; this.columnIndex = c; }
@Override public boolean equals(Object o) {
if (!(o instanceof ColumnBinding)) return false;
ColumnBinding b = (ColumnBinding) o;
return tableIndex == b.tableIndex && columnIndex == b.columnIndex;
}
@Override public int hashCode() { return Objects.hash(tableIndex, columnIndex); }
}
// =========================================================
// duckdb-0001: AddCorrelatedColumn O(C²) vs O(C)
// =========================================================
static class CorrelatedColumnsVector {
List<Integer> cols = new ArrayList<>();
void addColumn(int binding) {
if (!cols.contains(binding)) { cols.add(0, binding); }
}
int size() { return cols.size(); }
}
static class CorrelatedColumnsHashSet {
List<Integer> cols = new ArrayList<>();
Set<Integer> bindingSet = new HashSet<>();
void addColumn(int binding) {
if (!bindingSet.contains(binding)) { cols.add(0, binding); bindingSet.add(binding); }
}
int size() { return cols.size(); }
}
static long mergeCorrelatedVector(List<Integer> other, CorrelatedColumnsVector dst) {
long ops = 0;
for (int b : other) { ops += dst.cols.size(); dst.addColumn(b); }
return ops;
}
static long mergeCorrelatedHashSet(List<Integer> other, CorrelatedColumnsHashSet dst) {
long ops = 0;
for (int b : other) { ops += 1; dst.addColumn(b); }
return ops;
}
static boolean testDuckDB0001() {
System.out.println("=== duckdb-0001: AddCorrelatedColumn O(C^2) vs O(C) ===");
int C = 400;
List<Integer> other = new ArrayList<>();
for (int i = 0; i < C; i++) other.add(i);
CorrelatedColumnsVector vec = new CorrelatedColumnsVector();
CorrelatedColumnsHashSet hset = new CorrelatedColumnsHashSet();
long opsVec = mergeCorrelatedVector(other, vec);
long opsHash = mergeCorrelatedHashSet(other, hset);
double ratio = (double) opsVec / opsHash;
System.out.printf(" C=%d vector_ops=%,d hashset_ops=%,d ratio=%.1fx%n", C, opsVec, opsHash, ratio);
assert vec.size() == C && hset.size() == C : "size mismatch";
boolean pass = ratio > 10.0;
System.out.println(" " + (pass ? "PASS" : "FAIL"));
return pass;
}
// =========================================================
// duckdb-0002: HasCorrelatedExpressions O(N×M) vs O(N+M)
// =========================================================
static long hasCorrelatedVector(List<Integer> correlatedCols, List<Integer> binderCols) {
long ops = 0;
for (int b : correlatedCols) {
for (int bc : binderCols) { ops++; if (bc == b) break; }
}
return ops;
}
static long hasCorrelatedHashSet(List<Integer> correlatedCols, List<Integer> binderCols) {
Set<Integer> binderSet = new HashSet<>(binderCols);
long ops = binderCols.size();
for (int b : correlatedCols) { ops += 1; binderSet.contains(b); }
return ops;
}
static boolean testDuckDB0002() {
System.out.println("=== duckdb-0002: HasCorrelatedExpressions O(N*M) vs O(N+M) ===");
int N = 200;
List<Integer> correlatedCols = new ArrayList<>();
List<Integer> binderCols = new ArrayList<>();
for (int i = 0; i < N; i++) correlatedCols.add(i);
for (int i = 0; i < N; i++) binderCols.add(i + N); // non-overlapping worst case
long opsVec = hasCorrelatedVector(correlatedCols, binderCols);
long opsHash = hasCorrelatedHashSet(correlatedCols, binderCols);
double ratio = (double) opsVec / opsHash;
System.out.printf(" N=M=%d vector_ops=%,d hashset_ops=%,d ratio=%.1fx%n", N, opsVec, opsHash, ratio);
boolean pass = ratio > 10.0;
System.out.println(" " + (pass ? "PASS" : "FAIL"));
return pass;
}
// =========================================================
// duckdb-0003: ComputeOverlappingBindings O(N×H) vs O(N+H)
// =========================================================
static long computeOverlappingDefective(List<ColumnBinding> haystack, List<ColumnBinding> needles) {
long ops = 0;
for (ColumnBinding needle : needles) {
for (ColumnBinding h : haystack) { ops++; if (h.equals(needle)) break; }
}
return ops;
}
static long computeOverlappingFixed(List<ColumnBinding> haystack, List<ColumnBinding> needles) {
Set<ColumnBinding> haystackSet = new HashSet<>(haystack);
long ops = haystack.size(); // build set
for (ColumnBinding needle : needles) { ops++; haystackSet.contains(needle); }
return ops;
}
static boolean testDuckDB0003() {
System.out.println("=== duckdb-0003: ComputeOverlappingBindings O(N*H) vs O(N+H) ===");
int N = 500;
List<ColumnBinding> haystack = new ArrayList<>();
List<ColumnBinding> needles = new ArrayList<>();
for (int i = 0; i < N; i++) {
haystack.add(new ColumnBinding(0, i));
needles.add(new ColumnBinding(0, i + N / 2)); // half overlap, worst-case scan
}
long opsDefective = computeOverlappingDefective(haystack, needles);
long opsFixed = computeOverlappingFixed(haystack, needles);
double ratio = (double) opsDefective / opsFixed;
System.out.printf(" N=H=%d defective_ops=%,d fixed_ops=%,d ratio=%.1fx%n",
N, opsDefective, opsFixed, ratio);
boolean pass = ratio > 10.0;
System.out.println(" " + (pass ? "PASS" : "FAIL"));
return pass;
}
// =========================================================
// duckdb-0004: Deliminator group-join binding check O(G×J)
// =========================================================
static long checkGroupsDefective(List<ColumnBinding> joinBindings, long groupIndex, int groupCount) {
long ops = 0;
for (int g = 0; g < groupCount; g++) {
ColumnBinding target = new ColumnBinding(groupIndex, g);
for (ColumnBinding jb : joinBindings) { ops++; if (jb.equals(target)) break; }
}
return ops;
}
static long checkGroupsFixed(List<ColumnBinding> joinBindings, long groupIndex, int groupCount) {
Set<ColumnBinding> joinSet = new HashSet<>(joinBindings);
long ops = joinBindings.size(); // build set
for (int g = 0; g < groupCount; g++) {
ops++; joinSet.contains(new ColumnBinding(groupIndex, g));
}
return ops;
}
static boolean testDuckDB0004() {
System.out.println("=== duckdb-0004: Deliminator group-join check O(G*J) vs O(G+J) ===");
int N = 500;
List<ColumnBinding> joinBindings = new ArrayList<>();
for (int i = 0; i < N; i++) joinBindings.add(new ColumnBinding(42, i));
long opsDefective = checkGroupsDefective(joinBindings, 42, N);
long opsFixed = checkGroupsFixed(joinBindings, 42, N);
double ratio = (double) opsDefective / opsFixed;
System.out.printf(" G=J=%d defective_ops=%,d fixed_ops=%,d ratio=%.1fx%n",
N, opsDefective, opsFixed, ratio);
boolean pass = ratio > 10.0;
System.out.println(" " + (pass ? "PASS" : "FAIL"));
return pass;
}
// =========================================================
public static void main(String[] args) {
int pass = 0, fail = 0;
if (testDuckDB0001()) pass++; else fail++;
if (testDuckDB0002()) pass++; else fail++;
if (testDuckDB0003()) pass++; else fail++;
if (testDuckDB0004()) pass++; else fail++;
System.out.printf("%nDuckDB CWE-407: %d/%d PASS%n", pass, pass + fail);
if (fail > 0) System.exit(1);
}
}