Preserve exact decimal aggregate precision - #365
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📝 WalkthroughWalkthroughThe change preserves exact NUMERIC and DECIMAL aggregate values on dialects with native exact-decimal support. It normalizes ClickHouse metadata, carries preservation state through planning, keeps SQLite casts, and adds regression coverage and specifications. ChangesDecimal precision preservation
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: 🟡 Moderate · up to This change preserves native decimal aggregates, but non-native dialects may still omit an expected inferred integer cast, which can alter aggregate result semantics. The SQLite regression also does not verify the aggregate value, so this should be resolved before merge. Sequence Diagram(s)sequenceDiagram
participant Database
participant Ingestion
participant StagePlanner
participant ValueRegistry
participant SQLGenerator
Database->>Ingestion: expose exact numeric type
Ingestion->>StagePlanner: provide logical type and normalized db_type
StagePlanner->>ValueRegistry: register preserve_native_type
ValueRegistry->>SQLGenerator: provide planned slot
SQLGenerator-->>Database: emit native aggregate or dialect-specific cast
🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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Inline comments:
In `@tests/integration/test_decimal_aggregate_precision.py`:
- Line 32: Update the assertion for amount.db_type to expect the canonical
spaced representation DECIMAL(18, 2), or compare its precision and scale
instead; preserve validation of the same decimal type without relying on the
whitespace-free form.
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docs/concepts/models.mdslayer/core/models.pyslayer/engine/ingestion.pyslayer/engine/introspect_utils.pyslayer/engine/planned.pyslayer/engine/planning.pyslayer/engine/prebound.pyslayer/engine/stage_planner.pytests/integration/test_decimal_aggregate_precision.pytests/test_ingestion.py
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…ed/short decimals preserve native precision (MotleyAI#364)
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Inline comments:
In `@slayer/engine/introspect_utils.py`:
- Line 312: The `_get_columns_fallback` path must normalize wrapped ClickHouse
types before calling `_info_schema_type` and `is_exact_numeric_db_type`. Unwrap
wrappers such as `Nullable(...)` and `LowCardinality(...)` while preserving the
inner type, use the normalized value for both mapped data type and `db_type`,
and add a regression test covering wrapped decimal metadata.
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openspec/changes/preserve-inferred-decimal-precision/.openspec.yamlopenspec/changes/preserve-inferred-decimal-precision/design.mdopenspec/changes/preserve-inferred-decimal-precision/proposal.mdopenspec/changes/preserve-inferred-decimal-precision/specs/aggregations/native-type-preservation/spec.mdopenspec/changes/preserve-inferred-decimal-precision/tasks.mdslayer/engine/ingestion.pyslayer/engine/introspect_utils.pyslayer/engine/planning.pyslayer/engine/prebound.pyslayer/engine/stage_planner.pytests/integration/test_integration_clickhouse.pytests/test_ingestion.pytests/test_ingestion_clickhouse.pytests/test_native_type_preservation.py
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…rap ClickHouse wrapper text in the info-schema fallback, clear Sonar S107/S9073
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slayer/sql/generator.py (1)
2458-2458: 📐 Maintainability & Code Quality | 🔵 Trivial | ⚡ Quick winUse keyword arguments for
_wrap_cast_for_type.The production guideline requires keyword arguments for functions with more than one parameter. Rewrite these calls as
_wrap_cast_for_type(expr=..., dt=...).🤖 Prompt for AI Agents
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Inline comments:
In `@slayer/sql/generator.py`:
- Around line 789-790: The native-preservation fallback in the slot cast-type
logic should return slot.type instead of the model’s cast_type after disabling
preserve_native_type, ensuring inferred DataType.INT aggregates still emit
CAST(... AS INT) for non-row phases on SQLite. Keep explicit and row-phase
behavior unchanged, and add a regression test covering this inferred aggregate
case.
In `@tests/test_native_type_preservation.py`:
- Line 112: Update the SQL assertion in the native type preservation test to
require that the rendered SUM expression casts to DOUBLE, while retaining the
existing checks for the CAST(SUM( pattern and non-integer result.
---
Nitpick comments:
In `@slayer/sql/generator.py`:
- Line 2458: Update the _wrap_cast_for_type call in the composite expression
path to pass both parameters by keyword, using expr for the composite value and
dt for self._slot_cast_type(slot).
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docs/concepts/models.mdopenspec/changes/preserve-inferred-decimal-precision/design.mdopenspec/changes/preserve-inferred-decimal-precision/specs/aggregations/native-type-preservation/spec.mdslayer/engine/ingestion.pyslayer/engine/introspect_utils.pyslayer/engine/planning.pyslayer/sql/dialects/base.pyslayer/sql/dialects/sqlite.pyslayer/sql/generator.pytests/integration/test_integration_clickhouse.pytests/test_dev1777_emit_step_cte.pytests/test_ingestion.pytests/test_native_type_preservation.py
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- tests/integration/test_integration_clickhouse.py
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…rap_cast_for_type args by keyword
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Inline comments:
In `@tests/test_native_type_preservation.py`:
- Line 113: Add a value assertion alongside the existing type check for
result.data[0]["orders.amount_sum"], verifying the aggregate equals 3.0 while
preserving the current float-type assertion.
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Summary
NUMERIC/DECIMALdatabase type provenance when ingestion maps it to SLayer's coarserINT/DOUBLElogical typesCloses #364.
Why
DuckDB natively evaluates the issue's
DECIMAL(18,2)sum as exactDECIMAL(38,2)value90071992547409.93. Currentmainchanges it to90071992547409.94by renderingCAST(SUM(amount) AS DOUBLE)from inferred metadata.The fix keeps SLayer's existing public
DOUBLEclassification and does not add a new numeric type system. It retains only the physical provenance that the planner needs to distinguish an exact database value from an ordinary floating-point source. Explicittype: DOUBLEstill renders the requested cast.Validation
ruff 0.15.6 check slayer/ tests/— passedpoetryexecutable was missing from this host; 100 expected skipstest_integration.py,test_integration_duckdb.py,test_integration_postgres.py, and the new decimal regression — 246 passedPATH— 2 passed after rerun with the installedslayercommand exposedThe broad integration discovery run additionally produced 470 passes and 186 expected skips. Docker-only Metabase tests could not start because no Docker daemon is running, and Flight JDBC tests could not start because this host's JPype installation resolves the JDK home directory instead of
libjvm.dylib; neither unavailable fixture touches this change.AI assistance
Codex assisted with public-history checking, reproduction, implementation, and validation. The reported commands and outcomes were executed against this branch.
Summary by CodeRabbit
Bug Fixes
Documentation
Tests