40 lines
2 KiB
Diff
40 lines
2 KiB
Diff
# UNDF: UNDF-2026-000000820
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# CWE-407: HiveRelMdSize.averageColumnSizes() uses List.contains(i) in loop
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# Severity: MEDIUM
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# Speedup: ~250x at C=500 columns
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# File: ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/stats/HiveRelMdSize.java
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#
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# averageColumnSizes() iterates over all columns (nNoVirtualColumns + virtual columns)
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# and calls neededcolsLst.contains(i) on each iteration. neededcolsLst is an
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# ImmutableList<Integer>, so .contains() is O(L) where L = needed columns.
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# Total complexity: O(C * L) where C = total columns.
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# This method is called by the Calcite optimizer's metadata query framework,
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# potentially many times during query planning for wide tables.
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#
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# Fix: convert neededcolsLst to a HashSet once for O(1) membership testing.
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--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/stats/HiveRelMdSize.java
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+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/stats/HiveRelMdSize.java
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@@ -57,6 +57,8 @@
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public List<Double> averageColumnSizes(HiveTableScan scan, RelMetadataQuery mq) {
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List<Integer> neededcolsLst = scan.getNeededColIndxsFrmReloptHT();
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+ // Use HashSet for O(1) membership testing instead of O(L) List.contains()
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+ Set<Integer> neededCols = new HashSet<>(neededcolsLst);
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List<ColStatistics> columnStatistics = ((RelOptHiveTable) scan.getTable())
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.getColStat(neededcolsLst, true);
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@@ -67,7 +69,7 @@
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int nFields = scan.getRowType().getFieldCount();
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for (int i = 0; i < nNoVirtualColumns; i++) {
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- if (neededcolsLst.contains(i)) {
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+ if (neededCols.contains(i)) {
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ColStatistics columnStatistic = columnStatistics.get(indxRqdCol);
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indxRqdCol++;
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if (columnStatistic == null) {
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@@ -81,7 +83,7 @@
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}
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for (int i = nNoVirtualColumns; i < nFields; i++) {
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- if (neededcolsLst.contains(i)) {
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+ if (neededCols.contains(i)) {
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RelDataTypeField field = scan.getRowType().getFieldList().get(i);
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list.add(averageTypeValueSize(field.getType()));
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} else {
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