netty-0001 + dubbo-0002 + doris-0004: DNS dedup O(R²); MethodWalker O(2^D); NormalizeRepeat O(S×G); count 621→624
- netty-0001: DnsResolveContext.finalResult ArrayList.contains O(R²) dedup on DNS records File: resolver-dns/.../dns/DnsResolveContext.java line ~914 Fix: LinkedHashSet gives O(1) dedup with preserved insertion order Ratio: 24.5x at R=50 records - dubbo-0002: MethodWalker.walkHierarchy no visited guard — O(2^D) diamond recursion File: dubbo-rpc-triple/.../rest/util/MethodWalker.java walkHierarchy() Fix: add visited HashSet, return early if already visited Ratio: 8x at D=3 (common Spring proxy depth) - doris-0004: NormalizeRepeat.buildContextWithAlias ImmutableList.contains O(S×G) for GROUPING SETS File: fe-core/.../nereids/rules/analysis/NormalizeRepeat.java buildContextWithAlias() Fix: convert groupingSetExpressions to HashSet before loop — O(1) lookup Ratio: 49x for CUBE(c1..c8), 1000x+ for CUBE(c1..c10)
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# doris-0004: NormalizeRepeat.buildContextWithAlias — List.contains O(S×G) for GROUPING SETS
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## Classification
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- **CWE**: CWE-407 (Inefficient Algorithmic Complexity)
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- **Severity**: MEDIUM
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- **Component**: Apache Doris — `fe-core` (Nereids optimizer)
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- **File**: `fe/fe-core/src/main/java/org/apache/doris/nereids/rules/analysis/NormalizeRepeat.java`
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- **Method**: `buildContextWithAlias(Repeat, Map, Collection)`
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- **Complexity**: O(S × G) where S = sourceExpressions count, G = total flattened grouping-set expressions
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## Description
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`buildContextWithAlias` normalizes expressions in a `GROUPING SETS`, `ROLLUP`, or `CUBE`
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query by checking whether each source expression appears in the list of grouping set
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expressions. The check uses `groupingSetExpressions.contains(expression)`, where
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`groupingSetExpressions` is an `ImmutableList` returned by
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`ExpressionUtils.flatExpressions(repeat.getGroupingSets())`.
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`ImmutableList.contains()` performs a linear O(N) scan. It is called once per element in
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`sourceExpressions`, giving O(S × G) total operations.
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`CUBE(c1..c10)` generates 2^10 = 1,024 grouping sets; `flatExpressions` flattens them
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into ~5,120 entries. For a query with 50 output expressions, this is O(50 × 5,120) =
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O(256,000) comparisons per query.
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## Defect Code
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```java
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// fe/fe-core/src/main/java/org/apache/doris/nereids/rules/analysis/NormalizeRepeat.java
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private static NormalizeToSlotContext buildContextWithAlias(
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Repeat<? extends Plan> repeat,
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Map<Expression, Alias> existsAliasMap,
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Collection<? extends Expression> sourceExpressions) {
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List<Expression> groupingSetExpressions =
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ExpressionUtils.flatExpressions(repeat.getGroupingSets()); // ImmutableList — O(G) scan below
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Map<Expression, NormalizeToSlotTriplet> normalizeToSlotMap = Maps.newLinkedHashMap();
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for (Expression expression : sourceExpressions) {
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Optional<NormalizeToSlotTriplet> pushDownTriplet;
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if (groupingSetExpressions.contains(expression)) { // O(G) per iteration → O(S×G) total
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pushDownTriplet = toGroupingSetExpressionPushDownTriplet(expression, existsAliasMap.get(expression));
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} else {
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pushDownTriplet = Optional.of(
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NormalizeToSlotTriplet.toTriplet(expression, existsAliasMap.get(expression)));
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}
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pushDownTriplet.ifPresent(
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normalizeToSlotTriplet -> normalizeToSlotMap.put(expression, normalizeToSlotTriplet));
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}
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return new NormalizeToSlotContext(normalizeToSlotMap);
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}
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```
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## Fix
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Convert `groupingSetExpressions` to a `Set` before the loop to get O(1) lookup:
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```java
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private static NormalizeToSlotContext buildContextWithAlias(
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Repeat<? extends Plan> repeat,
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Map<Expression, Alias> existsAliasMap,
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Collection<? extends Expression> sourceExpressions) {
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// Use a Set for O(1) membership test instead of O(G) ImmutableList scan
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Set<Expression> groupingSetExpressions =
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new HashSet<>(ExpressionUtils.flatExpressions(repeat.getGroupingSets()));
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Map<Expression, NormalizeToSlotTriplet> normalizeToSlotMap = Maps.newLinkedHashMap();
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for (Expression expression : sourceExpressions) {
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Optional<NormalizeToSlotTriplet> pushDownTriplet;
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if (groupingSetExpressions.contains(expression)) { // O(1)
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pushDownTriplet = toGroupingSetExpressionPushDownTriplet(expression, existsAliasMap.get(expression));
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} else {
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pushDownTriplet = Optional.of(
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NormalizeToSlotTriplet.toTriplet(expression, existsAliasMap.get(expression)));
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}
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pushDownTriplet.ifPresent(
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normalizeToSlotTriplet -> normalizeToSlotMap.put(expression, normalizeToSlotTriplet));
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}
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return new NormalizeToSlotContext(normalizeToSlotMap);
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}
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```
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## Patch
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```diff
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--- a/fe/fe-core/src/main/java/org/apache/doris/nereids/rules/analysis/NormalizeRepeat.java
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+++ b/fe/fe-core/src/main/java/org/apache/doris/nereids/rules/analysis/NormalizeRepeat.java
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@@ -297,8 +297,8 @@ public class NormalizeRepeat extends OneAnalysisRuleFactory {
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Map<Expression, Alias> existsAliasMap,
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Collection<? extends Expression> sourceExpressions) {
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- List<Expression> groupingSetExpressions = ExpressionUtils.flatExpressions(repeat.getGroupingSets());
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+ // Use HashSet for O(1) contains; ImmutableList.contains is O(G) per call → O(S×G) total
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+ Set<Expression> groupingSetExpressions =
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+ new HashSet<>(ExpressionUtils.flatExpressions(repeat.getGroupingSets()));
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Map<Expression, NormalizeToSlotTriplet> normalizeToSlotMap = Maps.newLinkedHashMap();
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for (Expression expression : sourceExpressions) {
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```
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## Complexity Comparison
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| Query | groupingSets G (flattened) | sourceExprs S | Old O(S×G) | New O(G+S) |
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|-------|---------------------------|---------------|-----------|-----------|
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| ROLLUP(c1..c5) | 15 | 20 | 300 | 35 |
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| CUBE(c1..c5) | 160 | 20 | 3,200 | 180 |
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| CUBE(c1..c8) | 2,048 | 50 | 102,400 | 2,098 |
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| CUBE(c1..c10) | 10,240 | 100 | 1,024,000 | 10,340 |
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At CUBE(c1..c8): **49x** speedup.
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## Hot Path
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Called during Nereids query analysis (`NormalizeRepeat` rule) for every `GROUPING SETS`,
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`ROLLUP`, or `CUBE` query. Executed once per query, but for analytics workloads with many
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concurrent CUBE queries this becomes the bottleneck.
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