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https://issues.apache.org/jira/browse/HIVE-30147?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ryu Kobayashi updated HIVE-30147:
---------------------------------
    Description: 
h2. Summary

The Iceberg copy-on-write MERGE rewrite does not fully preserve the semantics 
of the native MERGE implementation.

The affected areas include NULL-key handling, source-only row detection, SQL 
three-valued predicate evaluation, `WHEN MATCHED` clause ordering, and 
cardinality-violation handling. These issues should be corrected so that 
copy-on-write MERGE behaves consistently with native MERGE.
h2. Root cause

The current implementation in `CopyOnWriteMergeRewriter` rewrites MERGE 
statements into a source CTE and multiple `UNION ALL` branches.

Several parts of the rewrite rely on derived predicates and string-level 
predicate composition:
 - `MergeSemanticAnalyzer.OnClauseAnalyzer` derives source-only predicates from 
NULL checks on target join columns.
 - `CopyOnWriteMergeRewriter` reuses those predicates for the INSERT and 
carry-over branches.
 - Target/source presence is not represented by an explicit join-side marker 
such as the target file path.
 - Multiple predicates are concatenated with `AND` and `OR`, which can change 
their effective precedence when the original expressions contain OR operators.
 - Later `WHEN MATCHED` clauses are gated with `NOT(previousPredicate)`, which 
does not implement SQL `IS NOT TRUE` semantics when the previous predicate 
evaluates to `UNKNOWN`.
 - The copy-on-write rewrite does not currently use the standard 
cardinality-violation branch implemented by `MergeRewriter`.

h2. Repeated source evaluation and duplicated execution work

The current CoW rewrite also evaluates the same source relation and match 
predicate multiple times. The marker CTE contains separate representative-row 
and grouped-count scans, and the cardinality-validation branch independently 
evaluates the MERGE source relation.

This can produce inconsistent results for non-deterministic or stateful 
predicates such as `rand()`, because the scans may observe different row sets. 
It also adds a second full scan, aggregation, join, and shuffle to CoW DML, and 
can duplicate the work for MERGE source relations.

The follow-up design should evaluate the source relation and match disposition 
once through a shared execution stream, while preserving native MERGE semantics 
and avoiding duplicated window/aggregation pipelines.
h2. Confirmed / observed behavior

The following cases require regression coverage and correction:

1. A target row whose join key is NULL can be mistaken for a source-only row 
when another row in the same data file is matched and the file is rewritten.
2. A target-only row with NULL join keys can satisfy the derived source-only 
predicate and produce an unintended INSERT.
3. A matched predicate that evaluates to `UNKNOWN` can prevent a later `WHEN 
MATCHED` clause from executing.
4. Unparenthesized combinations of `ON` predicates and clause predicates can 
cause source-only rows or unrelated target rows to enter the replacement-marker 
path.
5. Multiple source rows matching the same target row can produce duplicate CoW 
updates or incorrect affected-row behavior instead of the standard cardinality 
violation.
6. On constrained targets, the full-width CoW cardinality branch may interact 
with NOT NULL/CHECK enforcement before the intended cardinality error is 
reported. This requires explicit validation with both CBO enabled and disabled.
h2. Impact / exposure

These issues affect the correctness and compatibility of Iceberg copy-on-write 
MERGE statements.

Potential effects include:
 - Silent loss of legitimate target rows.
 - Unintended insertion of NULL or source-derived rows.
 - Different results from native MERGE for predicates involving NULL or OR 
expressions.
 - Duplicate or nondeterministic updates when source cardinality is invalid.
 - Cardinality errors being masked by constraint violations.
 - Inconsistent behavior depending on CBO configuration.

This issue is separate from HIVE-30064's affected-row reporting scope. 
HIVE-30064 tracks logical affected-row counts for CoW DML; this issue tracks 
the broader correctness and semantic alignment of CoW MERGE rewriting.

The implementation should preserve native MERGE semantics and include 
regression coverage for the affected cases.

  was:
h2. Summary

The Iceberg copy-on-write MERGE rewrite does not fully preserve the semantics 
of the native MERGE implementation.

The affected areas include NULL-key handling, source-only row detection, SQL 
three-valued predicate evaluation, `WHEN MATCHED` clause ordering, and 
cardinality-violation handling. These issues should be corrected so that 
copy-on-write MERGE behaves consistently with native MERGE.
h2. Root cause

The current implementation in `CopyOnWriteMergeRewriter` rewrites MERGE 
statements into a source CTE and multiple `UNION ALL` branches.

Several parts of the rewrite rely on derived predicates and string-level 
predicate composition:
 - `MergeSemanticAnalyzer.OnClauseAnalyzer` derives source-only predicates from 
NULL checks on target join columns.
 - `CopyOnWriteMergeRewriter` reuses those predicates for the INSERT and 
carry-over branches.
 - Target/source presence is not represented by an explicit join-side marker 
such as the target file path.
 - Multiple predicates are concatenated with `AND` and `OR`, which can change 
their effective precedence when the original expressions contain OR operators.
 - Later `WHEN MATCHED` clauses are gated with `NOT(previousPredicate)`, which 
does not implement SQL `IS NOT TRUE` semantics when the previous predicate 
evaluates to `UNKNOWN`.
 - The copy-on-write rewrite does not currently use the standard 
cardinality-violation branch implemented by `MergeRewriter`.

h2. Confirmed / observed behavior

The following cases require regression coverage and correction:

1. A target row whose join key is NULL can be mistaken for a source-only row 
when another row in the same data file is matched and the file is rewritten.
2. A target-only row with NULL join keys can satisfy the derived source-only 
predicate and produce an unintended INSERT.
3. A matched predicate that evaluates to `UNKNOWN` can prevent a later `WHEN 
MATCHED` clause from executing.
4. Unparenthesized combinations of `ON` predicates and clause predicates can 
cause source-only rows or unrelated target rows to enter the replacement-marker 
path.
5. Multiple source rows matching the same target row can produce duplicate CoW 
updates or incorrect affected-row behavior instead of the standard cardinality 
violation.
6. On constrained targets, the full-width CoW cardinality branch may interact 
with NOT NULL/CHECK enforcement before the intended cardinality error is 
reported. This requires explicit validation with both CBO enabled and disabled.
h2. Impact / exposure

These issues affect the correctness and compatibility of Iceberg copy-on-write 
MERGE statements.

Potential effects include:
 - Silent loss of legitimate target rows.
 - Unintended insertion of NULL or source-derived rows.
 - Different results from native MERGE for predicates involving NULL or OR 
expressions.
 - Duplicate or nondeterministic updates when source cardinality is invalid.
 - Cardinality errors being masked by constraint violations.
 - Inconsistent behavior depending on CBO configuration.

This issue is separate from HIVE-30064's affected-row reporting scope. 
HIVE-30064 tracks logical affected-row counts for CoW DML; this issue tracks 
the broader correctness and semantic alignment of CoW MERGE rewriting.

The implementation should preserve native MERGE semantics and include 
regression coverage for the affected cases.


> Align Iceberg copy-on-write MERGE semantics with native MERGE
> -------------------------------------------------------------
>
>                 Key: HIVE-30147
>                 URL: https://issues.apache.org/jira/browse/HIVE-30147
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Ryu Kobayashi
>            Assignee: Ryu Kobayashi
>            Priority: Major
>
> h2. Summary
> The Iceberg copy-on-write MERGE rewrite does not fully preserve the semantics 
> of the native MERGE implementation.
> The affected areas include NULL-key handling, source-only row detection, SQL 
> three-valued predicate evaluation, `WHEN MATCHED` clause ordering, and 
> cardinality-violation handling. These issues should be corrected so that 
> copy-on-write MERGE behaves consistently with native MERGE.
> h2. Root cause
> The current implementation in `CopyOnWriteMergeRewriter` rewrites MERGE 
> statements into a source CTE and multiple `UNION ALL` branches.
> Several parts of the rewrite rely on derived predicates and string-level 
> predicate composition:
>  - `MergeSemanticAnalyzer.OnClauseAnalyzer` derives source-only predicates 
> from NULL checks on target join columns.
>  - `CopyOnWriteMergeRewriter` reuses those predicates for the INSERT and 
> carry-over branches.
>  - Target/source presence is not represented by an explicit join-side marker 
> such as the target file path.
>  - Multiple predicates are concatenated with `AND` and `OR`, which can change 
> their effective precedence when the original expressions contain OR operators.
>  - Later `WHEN MATCHED` clauses are gated with `NOT(previousPredicate)`, 
> which does not implement SQL `IS NOT TRUE` semantics when the previous 
> predicate evaluates to `UNKNOWN`.
>  - The copy-on-write rewrite does not currently use the standard 
> cardinality-violation branch implemented by `MergeRewriter`.
> h2. Repeated source evaluation and duplicated execution work
> The current CoW rewrite also evaluates the same source relation and match 
> predicate multiple times. The marker CTE contains separate representative-row 
> and grouped-count scans, and the cardinality-validation branch independently 
> evaluates the MERGE source relation.
> This can produce inconsistent results for non-deterministic or stateful 
> predicates such as `rand()`, because the scans may observe different row 
> sets. It also adds a second full scan, aggregation, join, and shuffle to CoW 
> DML, and can duplicate the work for MERGE source relations.
> The follow-up design should evaluate the source relation and match 
> disposition once through a shared execution stream, while preserving native 
> MERGE semantics and avoiding duplicated window/aggregation pipelines.
> h2. Confirmed / observed behavior
> The following cases require regression coverage and correction:
> 1. A target row whose join key is NULL can be mistaken for a source-only row 
> when another row in the same data file is matched and the file is rewritten.
> 2. A target-only row with NULL join keys can satisfy the derived source-only 
> predicate and produce an unintended INSERT.
> 3. A matched predicate that evaluates to `UNKNOWN` can prevent a later `WHEN 
> MATCHED` clause from executing.
> 4. Unparenthesized combinations of `ON` predicates and clause predicates can 
> cause source-only rows or unrelated target rows to enter the 
> replacement-marker path.
> 5. Multiple source rows matching the same target row can produce duplicate 
> CoW updates or incorrect affected-row behavior instead of the standard 
> cardinality violation.
> 6. On constrained targets, the full-width CoW cardinality branch may interact 
> with NOT NULL/CHECK enforcement before the intended cardinality error is 
> reported. This requires explicit validation with both CBO enabled and 
> disabled.
> h2. Impact / exposure
> These issues affect the correctness and compatibility of Iceberg 
> copy-on-write MERGE statements.
> Potential effects include:
>  - Silent loss of legitimate target rows.
>  - Unintended insertion of NULL or source-derived rows.
>  - Different results from native MERGE for predicates involving NULL or OR 
> expressions.
>  - Duplicate or nondeterministic updates when source cardinality is invalid.
>  - Cardinality errors being masked by constraint violations.
>  - Inconsistent behavior depending on CBO configuration.
> This issue is separate from HIVE-30064's affected-row reporting scope. 
> HIVE-30064 tracks logical affected-row counts for CoW DML; this issue tracks 
> the broader correctness and semantic alignment of CoW MERGE rewriting.
> The implementation should preserve native MERGE semantics and include 
> regression coverage for the affected cases.



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