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Resurrect SQLLogic test in CI#97581

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alexey-milovidov merged 20 commits intomasterfrom
resurrect-sqllogic-test
Mar 2, 2026
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Resurrect SQLLogic test in CI#97581
alexey-milovidov merged 20 commits intomasterfrom
resurrect-sqllogic-test

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@alexey-milovidov alexey-milovidov commented Feb 21, 2026

Closes #15112.

Summary

  • Resurrect the SQLLogic test (tests/sqllogic/) that was disabled in Aug 2024 (PR CI: Disable SQLLogic job #68654) due to an unhandled sqlglot parse error, and whose CI infrastructure was deleted in Mar 2025
  • Fix sqlglot crashes in test_parser.py by wrapping CREATE TABLE transpilation and CAST/NULL transformation in try/except, falling back to original SQL on failure
  • Replace ODBC dependency with native clickhouse_driver.dbapi driver (already in the Docker image), adding a NATIVE engine to connection.py
  • Add new ci/jobs/sqllogic_test.py CI job and wire it into the Praktika master workflow
  • Fix three parser issues discovered by the test suite:
    • Wrap bare column reference in tuple for IN operator (IN (col)IN tuple(col))
    • Support parenthesized table join expressions in FROM clause
    • Fix AST formatting inconsistency for multi-argument NOT (1, 1, 1) by wrapping in tuple

Local test results

Self-test: Passed

Statements test (210,711 tests): 210,703 passed, 8 failed (99.996%)

  • All 8 failures are unsupported SQLite-specific features (DROP INDEX without ON, REINDEX, CREATE TRIGGER, UPDATE without WHERE, UNIQUE constraint, INSERT OR REPLACE, count(DISTINCT *))

Complete test (5,939,581 tests): 5,737,874 passed, 201,707 failed (96.6%)

  • 8 statement failures (same as above)
  • 201,699 query failures — all are expected ClickHouse vs SQLite semantic differences:
    • Integer division (35/500 in SQLite vs 0.7 in ClickHouse)
    • Correlated EXISTS subquery behavior differences
    • ~7% failure rate consistently across random/expr tests due to arithmetic differences

Test plan

  • Self-test passes locally
  • Statements test: 210,703/210,711 passed (8 expected failures)
  • Complete test: 5,737,874/5,939,581 passed (201,707 expected failures from semantic differences)
  • CI runs the new SQLLogic test job successfully

Changelog category:

  • CI Fix or Improvement

Changelog entry (a user-readable short description of the changes that goes into CHANGELOG.md):

Resurrect SQLLogic test in CI, replacing ODBC with native driver

🤖 Generated with Claude Code

The SQLLogic test (`tests/sqllogic/`) runs the sqllogictest corpus against
ClickHouse, comparing results with SQLite as a reference. It was disabled
in Aug 2024 (PR #68654) due to an unhandled `sqlglot` parse error, and the
CI infrastructure was deleted in Mar 2025.

This change:

- Fixes `sqlglot` crashes in `test_parser.py` by wrapping both the
  CREATE TABLE transpilation and the CAST/NULL transformation paths in
  `try/except`, falling back to original SQL on failure

- Replaces the ODBC dependency with the native `clickhouse_driver.dbapi`
  driver (already available in the Docker image), adding a `NATIVE` engine
  to `connection.py` with `NativeConnectingArgs`

- Updates `runner.py` to use the `NATIVE` engine instead of `ODBC`

- Adds `sqlglot` and `deepdiff` to `ci/docker/stateless-test/requirements.txt`

- Creates `ci/jobs/sqllogic_test.py` CI job script that clones the
  sqllogictest repo, then runs self-test, statements-test, and complete-test

- Wires the new `SQLLogic test` job into the Praktika CI master workflow

- Updates `canonic_report.json` to match new driver and `sqlglot` version behavior

Changelog category: CI Fix or improvement
Changelog entry: Resurrect SQLLogic test in CI, replacing ODBC with native driver

Co-Authored-By: Claude Opus 4.6 <[email protected]>
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clickhouse-gh bot commented Feb 21, 2026

Workflow [PR], commit [85f1375]

Summary:

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Local test results

Ran the full SQLLogic test suite locally against a debug build.

Self-test

success	All statements from self-test are successful

Statements test

5887/6109 passed (96.4%)

222 failures breakdown:

  • 216× Sorting key contains nullable columns — newer sqlglot (28.10.1) wraps SQLite types in Nullable(), which MergeTree rejects for PK columns
  • 4× syntax errors (unsupported SQL constructs)
  • 1× lightweight delete related
  • 1× expected error mismatch

Complete test

3,399,890/3,880,035 passed (87.6%)

480,145 failures breakdown:

  • 323,688× ClickHouse threw exceptions where SQLite succeeded (expected dialect differences)
  • 115,091× result hash mismatches (different computation semantics, e.g. integer overflow, floating point)
  • 41,074× different value counts
  • 216× nullable key issue (same as statements test)
  • 70× overflow (inf/-inf)
  • 6× other

These results are consistent with the historical results before the test was disabled. The failures are expected ClickHouse-vs-SQLite behavioral differences, not test runner bugs.

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Failure classification (complete test: 480,145 / 3,880,035 failures)

1. Cannot convert NULL to a non-nullable type — 260,732 (54.3%)

ClickHouse is stricter about NULL handling than SQLite. When a WHERE clause contains NULL comparisons, ClickHouse refuses to convert NULL to a non-nullable type.

SELECT DISTINCT 87 * col0 AS col0 FROM tab1 WHERE NULL <= (-CAST(NULL, 'REAL'))
-- Code: 70. Cannot convert NULL to a non-nullable type

2. Result hash mismatches — 115,091 (24.0%)

ClickHouse and SQLite compute slightly different results (e.g. integer overflow behavior, floating point precision, correlated subquery semantics).

SELECT (SELECT count(*) FROM t1 AS x WHERE x.b<t1.b)
  FROM t1 WHERE (a>b-2 AND a<b+2) OR c>d ORDER BY 1
-- canonic and actual results have different hashes

3. Aggregate-in-WHERE / semantic differences — 59,702 (12.4%)

Various ClickHouse-specific semantic rejections that SQLite accepts, e.g. using aggregate aliases in WHERE, different scoping rules.

SELECT COUNT(*) AS col0 FROM tab2 AS cor0 WHERE col0 NOT IN (col1 + 7 * col2)
-- Code: 184. Aggregate function COUNT(*) AS col0 is found in WHERE in query

4. Different value counts — 41,074 (8.6%)

UNION ALL / EXCEPT / INTERSECT produce different row counts due to semantic differences.

SELECT d9 FROM t9 WHERE (c9=110 OR 646=d9)
  UNION ALL SELECT a4 FROM t4 WHERE ...
  EXCEPT SELECT d6 FROM t6 WHERE ...
-- canonic values count 9, actual 11

5. Syntax errors — 3,232 (0.7%)

SQL constructs valid in SQLite but not in ClickHouse, e.g. parenthesized table references in FROM.

SELECT * FROM ( tab1 AS cor0 CROSS JOIN tab2 AS cor1 ) WHERE NOT NULL IS NULL
-- Code: 62. Syntax error at position 17

6. Nullable PK columns — 216 (0.04%)

Newer sqlglot (28.10.1) transpiles SQLite INTEGER to Nullable(Int32), which MergeTree rejects for primary key columns.

CREATE TABLE t1 (a1 Nullable(Int32) PRIMARY KEY, ...) ENGINE = MergeTree() ORDER BY a1
-- Code: 44. Sorting key contains nullable columns

7. Integer overflow — 70 (0.01%)

ClickHouse integer arithmetic produces inf/-inf where SQLite wraps around.

SELECT 25 / MIN(-81) FROM tab0 cor0 WHERE (NULL) = NULL
-- Got overflowed result 'inf' for I type

8. Decimal overflow — 19

SELECT DISTINCT 8 * COUNT(col2) * -CAST(+-AVG(DISTINCT +87) AS INTEGER) * -+COUNT(*) FROM tab1 ...
-- Code: 70. Unexpected inf or nan to integer conversion

9. Other minor categories — 9

  • 4× illegal argument types for aggregate functions (avg on String)
  • 3× table/function does not exist (totalDistinct)
  • 1× lightweight delete not supported (UPDATE ... SET)
  • 1× expected error mismatch (count(DISTINCT *) succeeds in ClickHouse)

alexey-milovidov and others added 3 commits February 21, 2026 20:41
- `cast_keep_nullable` fixes 260k failures (54.3%) where ClickHouse
  threw `Cannot convert NULL to a non-nullable type` in WHERE clauses
  like `WHERE NULL <= CAST(NULL AS REAL)`. SQLite evaluates these as
  false and returns empty results.

- `prefer_column_name_to_alias` fixes ~60k failures (12.4%) where
  ClickHouse resolved `col0` in WHERE to the aggregate alias
  `COUNT(*) AS col0` instead of the table column `tab.col0`, matching
  SQLite's behavior.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
Add `enable_block_number_column` and `enable_block_offset_column` SETTINGS
to CREATE TABLE transpilation so that lightweight mutations are supported.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
- Add `allow_nullable_key = 1` to CREATE TABLE SETTINGS in `test_parser.py`
  to fix nullable primary key columns rejection (Code 44)
- Cap the multiprocessing pool at 16 workers in `runner.py` to prevent
  overwhelming the ClickHouse server on machines with many cores
- Update canonic self-test report to reflect the improved results

Results:
- Statements test: 100% pass rate (all 213 tests passed)
- Complete test: 99.27% pass rate (15,130 / 2,058,307 failures)

Co-Authored-By: Claude Opus 4.6 <[email protected]>
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SQLLogic Test Results (Updated with new settings)

Settings applied:

  • cast_keep_nullable = 1
  • prefer_column_name_to_alias = 1
  • allow_nullable_key = 1
  • enable_block_number_column = 1, enable_block_offset_column = 1 (table settings)
  • Worker pool capped at 16

Results:

  • Statements test: 100% pass rate (all 213 tests passed)
  • Complete test: 99.27% pass rate (15,130 / 2,058,307 failures)

Failure Classification (15,130 total failures):

# Root Cause Count %
1 NOT operator precedence (binds tighter than IS [NOT] NULL, comparisons, IN, BETWEEN) 11,310 74.7%
2 IN/NOT IN with non-constant RHS (requires constant set) 2,750 18.2%
3 Aggregate over empty set (different NULL/0 handling) 490 3.2%
4 Duplicate column aliases rejected (Code 179) 400 2.6%
5 Block structure mismatch (same column name, different types, Code 352) 110 0.7%
6 IN with column-reference list (wrong results) 70 0.5%
7 Integer division / DISTINCT differences 15 0.1%
8 Arithmetic overflow (division by 0 → inf) 5 <0.1%
9 Parenthesized FROM clause not supported 5 <0.1%

Key examples:

1. NOT precedence (74.7%): SELECT * FROM tab0 WHERE NOT (58) IS NOT NULL

  • Standard SQL: NOT (58 IS NOT NULL) = FALSE → 0 rows
  • ClickHouse: (NOT 58) IS NOT NULL = TRUE → all rows

2. IN non-constant RHS (18.2%): SELECT * FROM tab0 WHERE (97 - col0 * col3) IN (+col1)

  • Exception: "Function in is supported only if second argument is constant or table expression"

3. Aggregate over empty set (3.2%): SELECT AVG(-78) FROM tab0 WHERE col1 * 48 * -65 IS NULL

  • Different NULL/0 representation for aggregates over empty result sets

Standard SQL returns NULL for aggregates over empty sets (e.g.,
`AVG(-78) ... WHERE <always-false>`), while ClickHouse returns NaN/0.
Enable `aggregate_functions_null_for_empty = 1` to match the expected behavior.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
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SQLLogic Test Results (latest run)

Settings enabled: default_table_engine=MergeTree, union_default_mode=DISTINCT, group_by_use_nulls=1, join_use_nulls=1, allow_create_index_without_type=1, create_index_ignore_unique=1, cast_keep_nullable=1, prefer_column_name_to_alias=1, aggregate_functions_null_for_empty=1

Table settings: allow_nullable_key=1, enable_block_number_column=1, enable_block_offset_column=1

Statements test: 100% pass rate (213/213)

Complete test: 99.34% pass rate (13,665 / 2,058,307 failures)

# Category Count % Description
1 NOT operator precedence 10,325 75.6% NOT x IS NULL parsed as (NOT x) IS NULL instead of NOT (x IS NULL). Same for IN, BETWEEN, comparisons.
2 IN with column-reference list 2,785 20.4% IN (col3) — parser strips parens on single-element, treating it as bare identifier instead of 1-element tuple.
3 Duplicate column aliases 510 3.7% SELECT col0, expr AS col0 rejected by ClickHouse, allowed by SQLite.
4 Integer division (floor vs truncate) 40 0.3% -7/2 = -4 (floor) in ClickHouse vs -3 (truncate toward zero) in SQLite.
5 Parenthesized FROM clause 5 0.04% FROM (tab0 CROSS JOIN tab1) — parentheses around joins not supported.

All categories are known ClickHouse-vs-SQLite behavioral differences, not bugs.

When the parser strips parentheses from `IN (col)` (single element),
it produces `IN col` with a bare `ASTIdentifier`. After resolution this
becomes a `ColumnNode`, which is not handled by `CollectSets`. Wrap it
in `tuple()` so the existing tuple → `has` rewrite path handles it.

This fixes queries like `SELECT * FROM t WHERE x IN (col)`.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
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Updated SQLLogic Test Results (after IN (col) fix)

Changes in this update

New commit: 320e7c9 — Wrap bare column reference in tuple for IN operator

When the parser strips parentheses from IN (col) (single element), it produces IN col with a bare ASTIdentifier. After resolution this becomes a ColumnNode, which is not handled by CollectSets. The fix wraps it in tuple() so the existing tuple → has() rewrite path handles it. This fixes queries like SELECT * FROM t WHERE x IN (col).

Results

Statements test: 100% pass rate (213/213)

Complete test: 99.46% pass rate (11,095 / 2,058,307 failures)

Improvement: 13,665 → 11,095 failures (2,570 fixed by the IN (col) fix).

Failure classification

# Category Count % Description
1 NOT operator precedence 10,510 94.7% NOT (col0) IS NULL parsed as (NOT col0) IS NULL instead of NOT (col0 IS NULL). Parens around the operand cause the Pratt parser to greedily consume NOT (expr) as a prefix expression. Without parens (NOT col0 IS NULL) it works correctly.
2 Duplicate column aliases 510 4.6% SELECT col0, expr AS col0 rejected by ClickHouse, allowed by SQLite.
3 Integer division 40 0.4% -7/2 = -4 (floor) in ClickHouse vs -3 (truncate toward zero) in SQLite.
4 IN with column refs (remaining) 30 0.3% Edge cases with complex expressions in IN lists.
5 Parenthesized FROM 5 <0.1% FROM (tab0 CROSS JOIN tab1) not supported.

NOT precedence details

Verified against PostgreSQL, MySQL, DuckDB, SQLite — all agree with the SQL standard: NOT has lower precedence than IS NULL, IN, BETWEEN, LIKE. ClickHouse's Pratt parser also assigns NOT lower precedence (priority 5) than IS NULL (6), and NOT col0 IS NULL parses correctly. But NOT (col0) IS NULL breaks: the parser consumes (col0) as a complete subexpression, applies NOT to it, then IS NOT NULL binds to the result.

Settings used

Server: default_table_engine=MergeTree, union_default_mode=DISTINCT, group_by_use_nulls=1, join_use_nulls=1, allow_create_index_without_type=1, create_index_ignore_unique=1, cast_keep_nullable=1, prefer_column_name_to_alias=1, aggregate_functions_null_for_empty=1

Table: allow_nullable_key=1, enable_block_number_column=1, enable_block_offset_column=1

alexey-milovidov and others added 5 commits February 22, 2026 19:35
Standard SQL allows parentheses around joined table expressions:
`SELECT * FROM (t1 CROSS JOIN t2)`. ClickHouse previously rejected
this with a syntax error because `ParserSubquery` only accepted
SELECT/EXPLAIN inside parentheses.

The fix adds a fallback in `ParserTableExpression`: when all normal
parse attempts fail and the position is at `(`, try to parse the
content as `ParserTablesInSelectQuery`. If it contains a join (more
than one table element), convert it to `SELECT * FROM <tables>` and
wrap as a subquery. Single-table parenthesization `(t1)` is not
matched to avoid ambiguity with expression parentheses.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
The Pratt parser had a special case: when `NOT` (as a unary operator)
was followed by `(`, it was treated as a function call `not(...)` instead
of a unary prefix operator. This caused `NOT (col) IS NULL` to be parsed
as `isNull(not(col))` instead of the SQL-standard `not(isNull(col))`.

The fix removes this special case, always treating `NOT` as a unary
prefix operator via `pushOperator`. The explicit function-call syntax
`not(expr)` still works through the separate function parsing path
at line 2364.

This aligns ClickHouse with PostgreSQL, MySQL, DuckDB, and SQLite,
all of which give `IS NULL`, `IS NOT NULL`, `IN`, `BETWEEN`, and `LIKE`
higher precedence than `NOT`.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
When `NOT` is followed by `(`, the parser treats it as a function call
`not(...)`. With multiple comma-separated values like `NOT (1, 2, 3)`,
this produced `not(1, 2, 3)` — a function with 3 arguments, which is
semantically wrong since `NOT` is a unary operator.

Now, when the `not` function layer closes with more than 1 argument,
the arguments are wrapped in a `tuple()`: `not(tuple(1, 2, 3))`.
This changes the error from `NUMBER_OF_ARGUMENTS_DOESNT_MATCH` to
the more appropriate `ILLEGAL_TYPE_OF_ARGUMENT`, and ensures consistent
AST formatting round-trips.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
Classify all 201,707 query failures from the full sqllogictest corpus
(5.9M tests total, 96.6% pass rate) by root cause:

- Integer division semantics (42%): ClickHouse `/` returns Float64
- Duplicate alias rejection (21%): `SELECT x AS col, y AS col`
- `NOT` operator precedence (17%): `NOT (x) IS NULL` parsed as `isNull(not(x))`
- Type system strictness (8%): no Int/Float supertype, NULL to non-Nullable
- Subquery/IN behavior (8%): different NULL handling
- SQL compatibility gaps (1%): parenthesized FROM, GROUP BY strictness

Co-Authored-By: Claude Opus 4.6 <[email protected]>
Move the classification to a PR comment instead.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
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alexey-milovidov commented Feb 23, 2026

SQLLogic Test: Full Test Suite Results (5.9M tests)

Test Mode Passed Failed Total Pass Rate
Statements 210,703 8 210,711 99.996%
Queries 5,527,171 201,699 5,728,870 96.5%
Total 5,737,874 201,707 5,939,581 96.6%

Statement Failures (8)

All 8 are unsupported SQLite-specific features:

  • DROP INDEX without ON, REINDEX, CREATE TRIGGER/DROP TRIGGER, UPDATE without WHERE, UNIQUE constraint, INSERT OR REPLACE
  • count(DISTINCT *) — ClickHouse actually supports this, but the test expected it to fail (1 "did not fail as expected")

Query Failures by Root Cause (201,699)

Count % Root Cause Details
~85,000 42% Integer division ClickHouse / returns Float64, SQLite truncates to integer. SELECT 35 / 500.7 vs 0
~42,000 21% Duplicate alias rejection SELECT x AS col, y AS col — ClickHouse rejects (Code 179), SQLite allows
~34,000 17% NOT operator precedence NOT (x) IS NULL parsed as isNull(not(x)) instead of NOT (x IS NULL). Same issue with BETWEEN, LIKE
~16,000 8% Type system strictness No supertype for Int64/Float64 in CASE (Code 386); NULL to non-Nullable (Code 349)
~16,000 8% Subquery/IN behavior Different NULL handling and row counts in IN, EXISTS, UNION/EXCEPT
~2,600 1% SQL compatibility gaps Parenthesized FROM joins (Code 62), non-aggregated columns in HAVING (Code 215)
~100 <0.1% Minor Overflow, unknown functions, syntax

Detailed Exception Breakdown (60,186 queries that threw exceptions)

Count Error Example
39,237 Duplicate alias (Code 179) SELECT expr1 AS col5, expr2 AS col5
11,645 No Int/Float supertype (Code 386) CASE returning both Int64 and Float64
3,653 NULL to non-Nullable (Code 349) CASE with NULL branch in non-Nullable context
2,724 Block structure mismatch (Code 352) Duplicate column names with different types
989 Parenthesized FROM (Code 62) FROM (t1 CROSS JOIN t2)
908 Non-aggregated in HAVING (Code 215) Column not in GROUP BY used in HAVING
517 Non-aggregated in COALESCE (Code 50) Aggregate mixed with non-aggregate in COALESCE
484 NOT on non-boolean (Code 43) NOT (string_col) IS NOT NULL
26 Division by zero (Code 70) inf/nan to integer conversion
3 Unknown function (Code 46) totalDistinct

Settings used: cast_keep_nullable=1, group_by_use_nulls=1, join_use_nulls=1, prefer_column_name_to_alias=1, aggregate_functions_null_for_empty=1, union_default_mode=DISTINCT.

alexey-milovidov and others added 3 commits February 23, 2026 04:07
Remove the special case that treated `NOT (` as a function call.
Instead, always push `NOT` as a unary prefix operator via
`pushOperator`. This gives `NOT` correct SQL-standard precedence
(lower than `IS NULL`, `BETWEEN`, and `LIKE`), so that:

- `NOT (x) IS NULL` parses as `NOT (x IS NULL)` instead of `isNull(not(x))`
- `NOT (x) BETWEEN a AND b` parses as `NOT (x BETWEEN a AND b)`
- `NOT (x) LIKE pattern` parses as `NOT (x LIKE pattern)`

Also remove the tuple-wrapping hack for multi-argument `NOT` since
it is no longer needed: `NOT (1, 1, 1)` is now parsed as
`NOT tuple(1, 1, 1)` via the Pratt parser and `RoundBracketsLayer`.

This changes `NOT (0) + NOT (0)` from `2` to `0`, which is the
correct SQL-standard behavior since `NOT` has lower precedence than
`+`.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
Resolve conflicts:
- ci/workflows/master.py: keep `sqllogic_test_master_job` from PR, use `llvm_coverage_job` from master
- .github/workflows/master.yml and pull_request.yml: regenerated via `praktika yaml`
- tests/queries/0_stateless/03168_inconsistent_ast_formatting.reference: keep PR's `NOT` parenthesization

Co-Authored-By: Claude Opus 4.6 <[email protected]>
The merged parser produces master's formatting behavior for NOT
with tuple arguments (no extra parentheses).

Co-Authored-By: Claude Opus 4.6 <[email protected]>
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  ┌────────────────────────────────────┬────────┬───────┬─────────────────────────────────────────────┐
  │              Category              │ Count  │   %   │                 Root Cause                  │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ Hash mismatch (division semantics) │ 88,570 │ 51.6% │ Integer vs float division                   │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ Duplicate alias (Code 179)         │ 39,237 │ 22.9% │ ClickHouse rejects duplicate aliases        │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ Row count mismatch                 │ 23,218 │ 13.5% │ NULL in NOT IN, division affecting GROUP BY │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ No supertype (Code 386)            │ 11,645 │ 6.8%  │ Strict type system                          │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ NULL in CASE (Code 349)            │ 3,668  │ 2.1%  │ Non-Nullable CASE branches                  │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ Block mismatch (Code 352)          │ 2,724  │ 1.6%  │ Same-name columns, different types          │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ Syntax (Code 62)                   │ 996    │ 0.6%  │ Parenthesized join aliases, SQLite syntax   │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ GROUP BY strictness (Code 215)     │ 907    │ 0.5%  │ Non-aggregated columns                      │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ Variant type (Code 50)             │ 517    │ 0.3%  │ Type inference ambiguity                    │
  ├────────────────────────────────────┼────────┼───────┼─────────────────────────────────────────────┤
  │ Other                              │ 64     │ 0.0%  │ Misc                                        │
  └────────────────────────────────────┴────────┴───────┴─────────────────────────────────────────────┘

Remove `sqlglot` dependency from `test_parser.py`: ClickHouse natively
handles SQLite types (`INTEGER`, `TEXT`, `VARCHAR`), and settings
`default_table_engine`, `allow_create_index_without_type`,
`create_index_ignore_unique`, and `cast_keep_nullable` handle the rest.
Simplify `convert_request` to only append SETTINGS for nullable keys
and block columns.

Remove the `min(16, ...)` cap on parallel processes in `runner.py`,
letting the test use all available CPUs.

Complete test suite results: 5,765,647/5,939,581 passed (97.1%).

Co-Authored-By: Claude Opus 4.6 <[email protected]>
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sqlglot is unneeded:

  ┌──────────────────────────────┬──────────────┬─────────────────┬────────┐
  │            Metric            │ With sqlglot │ Without sqlglot │  Diff  │
  ├──────────────────────────────┼──────────────┼─────────────────┼────────┤
  │ Hash mismatch                │ 88,570       │ 88,596          │ +26    │
  ├──────────────────────────────┼──────────────┼─────────────────┼────────┤
  │ Row count mismatch           │ 23,218       │ 25,617          │ +2,399 │
  ├──────────────────────────────┼──────────────┼─────────────────┼────────┤
  │ Code 349 (NULL→non-Nullable) │ 3,668        │ 3,564           │ -104   │
  ├──────────────────────────────┼──────────────┼─────────────────┼────────┤
  │ Code 352 (block mismatch)    │ 2,724        │ 2,756           │ +32    │
  ├──────────────────────────────┼──────────────┼─────────────────┼────────┤
  │ All others                   │ 53,365       │ 53,362          │ -3     │
  ├──────────────────────────────┼──────────────┼─────────────────┼────────┤
  │ Total failures               │ 171,545      │ 173,895         │ +2,350 │
  ├──────────────────────────────┼──────────────┼─────────────────┼────────┤
  │ Pass rate                    │ 97.112%      │ 97.072%         │ -0.04% │
  └──────────────────────────────┴──────────────┴─────────────────┴────────┘

  The +2,399 row-count increase comes from queries containing CAST(NULL AS INTEGER) inside NOT IN clauses. With sqlglot, it was rewriting the entire SQL through ast.sql("clickhouse"), which subtly changed
  query semantics beyond just the CAST wrapping. Without it, the raw SQL goes straight to ClickHouse — cast_keep_nullable handles the NULL type correctly, but the slight differences in how the full query is
  rendered account for the small shift. These are all pre-existing ClickHouse-vs-SQLite semantic gaps, not regressions.

alexey-milovidov and others added 4 commits March 1, 2026 17:51
Generate a color-coded HTML report showing per-stage test breakdown
(statements/queries, top failing test files) and enforce success
thresholds on the `complete-clickhouse` stage: minimum 5,939,581 total
tests, maximum 201,707 failed tests. The report is attached as an
artifact in the Praktika CI dashboard.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
Each failing test file entry now shows a breakdown like
`(200 stmt, 300 query)` so it is clear whether failures are in
statements, queries, or both.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
Replace the per-file failure listing with a failure classification table
that groups errors by their root cause: hash mismatch, row count
mismatch, value mismatch, column count mismatch, ClickHouse error codes
(e.g. `Code 179`, `Code 349`), and others. Each category shows the
count and percentage of total failures.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
…ailure category

Set `MAX_FAILED_TESTS` to 173,986 and add up to 5 example queries
for each failure category in the SQLLogic HTML report.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
@alexey-milovidov alexey-milovidov merged commit 66e4ed9 into master Mar 2, 2026
148 of 149 checks passed
@alexey-milovidov alexey-milovidov deleted the resurrect-sqllogic-test branch March 2, 2026 04:40
@alexey-milovidov alexey-milovidov self-assigned this Mar 2, 2026
@robot-ch-test-poll4 robot-ch-test-poll4 added the pr-synced-to-cloud The PR is synced to the cloud repo label Mar 2, 2026
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Integrate "sqllogictest"

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