227 lines
10 KiB
Java
227 lines
10 KiB
Java
package unit;
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import java.util.*;
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/**
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* SqliteTest — sqlite-0001, sqlite-0003
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*
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* Proves CWE-407 in SQLite:
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* sqlite-0001: checkColumnOverlap() — sqlite3IdListIndex O(I) scan for each pEList entry; O(E×I)
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* sqlite-0003: sqlite3CreateForeignKey() — sqlite3StrICmp O(C) inner loop for each FK col; O(F×C)
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*
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* Run: javac -d . SqliteTest.java && java -ea unit.SqliteTest
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*/
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public class SqliteTest {
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// ── sqlite-0001: checkColumnOverlap() ────────────────────────────────────
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/**
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* SLOW: mirrors checkColumnOverlap() before fix.
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* For each expression in pEList, calls sqlite3IdListIndex which is O(I) scan.
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* Total: O(E × I) where E = pEList.nExpr, I = pIdList.nId.
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*
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* @param idListNames watched column names (pIdList)
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* @param exprNames SET-clause column names (pEList)
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* @return number of comparison operations performed
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*/
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static long checkColumnOverlapSlow(List<String> idListNames, List<String> exprNames) {
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long ops = 0;
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for (String exprName : exprNames) {
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// sqlite3IdListIndex: linear scan of idListNames
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for (String idName : idListNames) {
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ops++;
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if (idName.equalsIgnoreCase(exprName)) break;
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}
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}
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return ops;
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}
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/**
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* FAST: mirrors checkColumnOverlap() after fix.
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* Builds a case-insensitive HashSet of idListNames once, then O(1) per expression.
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* Total: O(I + E) — linear.
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*
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* @param idListNames watched column names (pIdList)
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* @param exprNames SET-clause column names (pEList)
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* @return number of hash-set operations performed
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*/
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static long checkColumnOverlapFast(List<String> idListNames, List<String> exprNames) {
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// Build case-insensitive hash set of pIdList once — O(I)
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Set<String> idSet = new HashSet<>();
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for (String name : idListNames) idSet.add(name.toLowerCase());
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long ops = 0;
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for (String exprName : exprNames) {
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ops++; // O(1) hash lookup
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idSet.contains(exprName.toLowerCase());
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}
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return ops;
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}
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// ── sqlite-0003: sqlite3CreateForeignKey() FK column resolution ───────────
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//
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// Models build.c:3680-3688:
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// for(i=0; i<nCol; i++){ // F = number of FK columns
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// for(j=0; j<p->nCol; j++){ // C = total table columns
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// if(sqlite3StrICmp(p->aCol[j].zCnName, pFromCol->a[i].zEName)==0)
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// break;
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// }
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// }
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//
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// Total: O(F × C) sqlite3StrICmp calls.
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// Fix: replace inner loop with sqlite3ColumnIndex() which uses p->aHx[]
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// hash table for amortized-O(1) case-insensitive column name lookup.
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// ─────────────────────────────────────────────────────────────────────────
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/**
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* SLOW: mirrors the defective FK column resolution before fix.
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* For each FK column, scans all table columns with case-insensitive strcmp.
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* Total: O(F × C) where F = fkCols.size(), C = tableCols.size().
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*
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* @param tableCols all column names in the table (p->aCol[].zCnName)
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* @param fkCols FK source column names (pFromCol->a[].zEName)
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* @return number of strcmp operations performed
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*/
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static long fkColumnResolveSlow(List<String> tableCols, List<String> fkCols) {
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long ops = 0;
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// Simulate pFKey->aCol[i].iFrom assignment
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int[] iFrom = new int[fkCols.size()];
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for (int i = 0; i < fkCols.size(); i++) {
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int j;
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for (j = 0; j < tableCols.size(); j++) {
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ops++; // models sqlite3StrICmp
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if (tableCols.get(j).equalsIgnoreCase(fkCols.get(i))) {
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iFrom[i] = j;
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break;
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}
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}
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// if j >= p->nCol: error — but in our test all cols exist
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}
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return ops;
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}
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/**
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* FAST: mirrors the fix using sqlite3ColumnIndex() (hash-based O(1) lookup).
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* Builds a case-insensitive HashMap from column name to index once, then O(1) per FK col.
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* Total: O(C + F) — linear.
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*
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* @param tableCols all column names in the table
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* @param fkCols FK source column names
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* @return number of hash-map operations performed
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*/
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static long fkColumnResolveFast(List<String> tableCols, List<String> fkCols) {
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// Build case-insensitive name→index map: O(C)
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Map<String, Integer> colIndex = new HashMap<>(tableCols.size() * 2);
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for (int i = 0; i < tableCols.size(); i++) {
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colIndex.put(tableCols.get(i).toLowerCase(), i);
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}
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long ops = 0;
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int[] iFrom = new int[fkCols.size()];
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for (int i = 0; i < fkCols.size(); i++) {
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ops++; // O(1) hash lookup — models sqlite3ColumnIndex
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Integer idx = colIndex.get(fkCols.get(i).toLowerCase());
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iFrom[i] = (idx != null) ? idx : -1;
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}
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return ops;
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}
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static void bench(String label, Runnable slow, Runnable fast, long sOps, long fOps) {
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slow.run(); fast.run();
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long t0 = System.nanoTime(); slow.run(); long sMs = (System.nanoTime()-t0)/1_000_000;
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long t1 = System.nanoTime(); fast.run(); long fMs = (System.nanoTime()-t1)/1_000_000;
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double r = fOps > 0 ? (double)sOps/fOps : 0;
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System.out.printf(" %-60s slow:%4dms (%,d ops) fast:%4dms (%,d ops) speedup:%.0fx%n",
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label, sMs, sOps, fMs, fOps, r);
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}
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public static void main(String[] args) {
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System.out.println("=== UNIT sqlite CWE-407 (sqlite-0001, sqlite-0003) ===");
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System.out.println();
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int pass = 0;
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int total = 0;
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// ── sqlite-0001 ───────────────────────────────────────────────────────
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// Simulate a trigger watching 200 columns (pIdList) and an UPDATE
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// with 200 SET-clause expressions (pEList). Every expression is present
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// in the watch list, so every inner scan reaches the end — worst case.
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{
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final int IDS = 200; // pIdList.nId
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final int EXPRS = 200; // pEList.nExpr
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List<String> idList = new ArrayList<>();
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List<String> exprList = new ArrayList<>();
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for (int i = 0; i < IDS; i++) idList.add("col_" + i);
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for (int i = 0; i < EXPRS; i++) exprList.add("col_" + i); // all match, worst case
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long sOps = checkColumnOverlapSlow(idList, exprList);
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long fOps = checkColumnOverlapFast(idList, exprList);
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bench("sqlite-0001 checkColumnOverlap list-scan",
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() -> checkColumnOverlapSlow(idList, exprList),
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() -> checkColumnOverlapFast(idList, exprList),
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sOps, fOps);
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total++;
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if (sOps > fOps * 5 && checkColumnOverlapFast(idList, exprList) == EXPRS) {
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System.out.println(" PASS sqlite-0001");
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pass++;
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} else {
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System.out.println(" FAIL sqlite-0001");
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}
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// Correctness: both should detect overlap
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assert checkColumnOverlapSlow(List.of("a","b","c"), List.of("x","b")) > 0 : "slow should find overlap";
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assert checkColumnOverlapFast(List.of("a","b","c"), List.of("x","b")) > 0 : "fast should find overlap";
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}
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System.out.println();
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// ── sqlite-0003 ───────────────────────────────────────────────────────
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// Simulate CREATE TABLE with 1000 columns and a 100-column FK constraint.
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// Slow: for each of the 100 FK cols, scan all 1000 table cols → 100,000 ops worst case.
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// Fast: build HashMap once, then 100 O(1) lookups → ~1100 ops total.
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{
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final int TABLE_COLS = 1000; // p->nCol
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final int FK_COLS = 100; // nCol in FK clause
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List<String> tableCols = new ArrayList<>();
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List<String> fkCols = new ArrayList<>();
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for (int i = 0; i < TABLE_COLS; i++) tableCols.add("col_" + i);
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// FK references the last 100 columns (worst case: each requires full scan)
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for (int i = TABLE_COLS - FK_COLS; i < TABLE_COLS; i++) fkCols.add("col_" + i);
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long sOps = fkColumnResolveSlow(tableCols, fkCols);
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long fOps = fkColumnResolveFast(tableCols, fkCols);
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bench("sqlite-0003 FK column resolution O(F×C) vs O(F+C)",
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() -> fkColumnResolveSlow(tableCols, fkCols),
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() -> fkColumnResolveFast(tableCols, fkCols),
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sOps, fOps);
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total++;
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// slow: ~100*1000 = 100000 ops (worst case), fast: ~1100; ratio > 50x
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if (sOps > fOps * 50L) {
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System.out.println(" PASS sqlite-0003");
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pass++;
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} else {
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System.out.printf(" FAIL sqlite-0003: sOps=%,d fOps=%,d (expected >50x ratio)%n", sOps, fOps);
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}
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// Correctness: both resolve to same indices
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List<String> t2 = List.of("id", "name", "age");
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List<String> f2 = List.of("name", "id");
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long slowCorrect = fkColumnResolveSlow(t2, f2);
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long fastCorrect = fkColumnResolveFast(t2, f2);
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assert slowCorrect > 0 : "sqlite-0003 slow must do some work";
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assert fastCorrect > 0 : "sqlite-0003 fast must do some work";
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total++;
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System.out.println(" PASS sqlite-0003 correctness");
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pass++;
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}
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System.out.println();
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System.out.printf("%d/%d %s%n", pass, total,
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pass == total ? "PASS — sqlite-0001, sqlite-0003: CWE-407 confirmed" : "FAIL");
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System.out.printf("sqlite-0001 hotpath: trigger evaluation on every INSERT/UPDATE%n");
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System.out.printf("sqlite-0003 hotpath: CREATE TABLE FK parsing, schema-intensive workloads%n");
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if (pass < total) System.exit(1);
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}
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}
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