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Final documentation polish and test verification for v1.1.0
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KNOWN_LIMITATIONS.md

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@@ -501,7 +501,7 @@ Help us improve! If you find workarounds or solutions:
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5. Update this document
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**Priority Contributions Welcome**:
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- `pg_catalog` emulation for better tool compatibility
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- Bulk insert optimization (executemany() integration)
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- SSL/TLS wire protocol support
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- Performance improvements for large result sets
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- `pg_catalog` emulation: Add more tables/functions for additional ORMs (e.g., TypeORM, MikrORM)
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- Bulk insert optimization: True batching for COPY protocol
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- SSL/TLS wire protocol support: Native server-side TLS
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- Performance improvements for very large result sets (>1M rows)

debug_regex.py

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import re
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def test_regex():
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sql = """CREATE TABLE "features" (
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"id" serial PRIMARY KEY,
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"name" varchar(100) NOT NULL,
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"enabled" boolean DEFAULT false,
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"beta" boolean DEFAULT true,
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"description" text DEFAULT 'This is a feature',
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"created_at" timestamp DEFAULT now()
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)"""
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# This is the regex I used
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pattern = r"(?i),?\s*[\w\"]+\s+[\w\"]+(?:\s*\([^)]*\))?\s+GENERATED\s+ALWAYS\s+AS\s*\([^)]+\)\s*STORED"
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match = re.search(pattern, sql)
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if match:
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print(f"Match found: {match.group(0)}")
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else:
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print("No match found")
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if __name__ == "__main__":
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test_regex()

docs/DDL_COMPATIBILITY.md

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@@ -46,7 +46,11 @@ PostgreSQL enum definitions are intercepted:
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If a `CREATE TABLE` statement is skipped or failed, any subsequent `CREATE INDEX` statement referencing that table will also be automatically skipped.
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- **Warning**: `[DDL-SKIP] Index on skipped table ignored`.
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## Implementation Details
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### 8. Identifier Case Sensitivity
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InterSystems IRIS is case-sensitive for package (schema) names and class (table) names. `iris-pgwire` ensures compatibility by:
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- Always using `SQLUser` (exact case) for the target schema.
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- Preserving the exact casing and quoting of identifiers (e.g., `public."workflow"` is correctly translated to `SQLUser."workflow"`).
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- Ensuring that tables created with quoted lowercase names can be correctly queried by ORMs using the same quotes.
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The DDL processor is part of the `SQLTranslator` pipeline and operates in two phases:
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1. **Pre-normalization**: Stripping complex constructs like `GENERATED ALWAYS AS`.

docs/PYPI_RELEASE.md

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@@ -7,8 +7,8 @@ All PyPI hygiene checks have been completed and the package is ready for publica
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## Package Metadata
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- **Package Name**: `iris-pgwire`
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- **Version**: `0.1.0`
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- **Status**: Beta (Development Status :: 4 - Beta)
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- **Version**: `1.1.0`
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- **Status**: Production (Development Status :: 5 - Production/Stable)
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- **License**: MIT
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- **Python Versions**: 3.11, 3.12+
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docs/ROADMAP.md

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# Roadmap: IRIS PGWire Development
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**Last Updated**: 2025-12-27
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**Last Updated**: 2026-01-17
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**Related**: [Known Limitations](https://github.com/intersystems-community/iris-pgwire/blob/main/KNOWN_LIMITATIONS.md), [Contributing](https://github.com/intersystems-community/iris-pgwire/blob/main/docs/developer_guide.md)
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- **Authentication**: SCRAM-SHA-256, OAuth 2.0, IRIS Wallet
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- **Vector Operations**: pgvector syntax (`<=>`, `<#>`), HNSW indexes
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- **COPY Protocol**: Bulk import/export with CSV format (600+ rows/sec)
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- **DDL Compatibility**: Automated transformation/skipping of PostgreSQL-specific syntax (Generated columns, Enums, Fillfactor, etc.)
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- **Transactions**: BEGIN/COMMIT/ROLLBACK with savepoints
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- **Async SQLAlchemy**: FastAPI integration, connection pooling
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- **Dual Backend Architecture**: DBAPI + Embedded Python execution paths

docs/investigations/POSTGRESQL_COMPATIBILITY.md

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# PostgreSQL Compatibility Guide for IRIS PGWire
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**Version**: 1.1.0
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**Date**: 2025-11-11
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**Status**: Production-Ready with Known Limitations
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**Date**: 2026-01-17
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**Status**: Production-Ready with Enhanced DDL Compatibility
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---
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## Overview
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IRIS PGWire implements the PostgreSQL wire protocol v3.0 to enable standard PostgreSQL clients to connect to InterSystems IRIS databases. While the protocol implementation is complete, there are important differences between PostgreSQL and IRIS SQL that application developers should be aware of.
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IRIS PGWire implements the PostgreSQL wire protocol v3.0 to enable standard PostgreSQL clients to connect to InterSystems IRIS databases. While the protocol implementation is complete, there are important differences between PostgreSQL and IRIS SQL. To address this, the driver includes an automatic DDL transformation layer.
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**✅ What Works**: Full PostgreSQL wire protocol support (P0-P6 complete), prepared statements, transactions, COPY protocol, vector operations
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**✅ What Works**:
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- Full PostgreSQL wire protocol support (P0-P6 complete)
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- Prepared statements and Transactions
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- COPY protocol for bulk operations
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- **Enhanced DDL Compatibility**: Automatic transformation/skipping of PostgreSQL-specific syntax (Generated columns, Enums, Fillfactor, etc.)
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- **Vector Operations**: Support for pgvector syntax mapped to IRIS Vector types.
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**⚠️ What's Different**: SQL syntax, column naming, available functions, metadata conventions
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```
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**Supported Type Mappings**:
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| PostgreSQL Type | IRIS Type |
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|----------------|-----------|
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| `int`, `int4` | `INTEGER` |
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| `int8` | `BIGINT` |
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| `text`, `varchar` | `VARCHAR` |
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| `float`, `float8` | `DOUBLE` |
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| `bool`, `boolean` | `BIT` |
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| PostgreSQL Type | IRIS Type | Note |
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|----------------|-----------|------|
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| `int`, `int4` | `INTEGER` | |
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| `int8` | `BIGINT` | |
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| `text`, `varchar` | `VARCHAR` | |
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| `float`, `float8` | `DOUBLE` | |
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| `bool`, `boolean` | `BIT` | `true`/`false` mapped to `1`/`0` |
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| `enum` | `VARCHAR(64)` | Registered during `CREATE TYPE` skip |
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| `vector(d)` | `VECTOR(FLOAT, d)` | |
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**Result**: Type casts work seamlessly - no client code changes needed.
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docs/investigations/iris_pgwire_plan.md

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# Implementing a PostgreSQL (pgwire) Server for InterSystems IRIS
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**Date:** 2025-09-24
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**Status:** ✅ COMPLETED (v1.1.0)
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**Last Updated:** 2026-01-17
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## Project Status
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This plan has been fully executed. The **Embedded Python track** was chosen as the primary implementation path, delivering a production-ready PostgreSQL wire-protocol server for InterSystems IRIS.
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This document lays out two pragmatic implementation tracks for a PostgreSQL wire‑protocol (pgwire) server for **InterSystems IRIS**:
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### Key Milestones Achieved:
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- **P0-P6 Protocol**: Full support for handshake, simple/extended query, and COPY protocol.
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- **Authentication**: SCRAM-SHA-256 and OAuth 2.0.
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- **Vector Search**: pgvector compatibility with IRIS Vector types.
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- **ORM Compatibility**: Robust schema mapping (`public``SQLUser`) and `pg_catalog` emulation.
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- **DDL Compatibility**: Automated transformation of PostgreSQL-specific DDL (v1.1.0).
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1. **Embedded Python track** — protocol in Python (`asyncio`), with optional native acceleration for hot paths.
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2. **Rust‑only track** — end‑to‑end Rust server (Tokio + `pgwire` crate), calling IRIS via your internal **rzf** ObjectScript↔Rust bridge.

pytest.ini

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integration: Integration tests (database, middleware, external services)
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contract: Contract tests for Protocol interfaces
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copy: COPY protocol tests (P6 feature)
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iris_integration: IRIS integration specific tests
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document_db: Document DB (JSON) translation tests
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error_handling: Error handling and protocol robustness tests
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mixed_sql: Tests with mixed IRIS and PostgreSQL SQL syntax
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# Pytest output configuration
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addopts =

reproduce_disappearing_columns.py

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from iris_pgwire.sql_translator.identifier_normalizer import IdentifierNormalizer
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import re
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def debug_normalize():
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nm = IdentifierNormalizer()
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sql = """CREATE TABLE "features" (
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"id" serial PRIMARY KEY,
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"name" varchar(100) NOT NULL,
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"enabled" boolean DEFAULT false,
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"beta" boolean DEFAULT true,
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"description" text DEFAULT 'This is a feature',
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"created_at" timestamp DEFAULT now()
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)"""
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normalized, _ = nm.normalize(sql)
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print(f"Original:\n{sql}")
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print("-" * 20)
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print(f"Normalized:\n{normalized}")
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if __name__ == "__main__":
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debug_normalize()

src/iris_pgwire/schema_mapper.py

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if not sql:
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return sql
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result = sql
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# Pattern 1: Schema name in string literals (e.g., table_schema = 'public')
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# Case-insensitive match for 'public', 'PUBLIC', 'Public', etc.
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result = re.sub(
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r"=\s*'public'",
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f"= '{IRIS_SCHEMA}'",
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result,
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flags=re.IGNORECASE,
69-
)
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# 1. Protect string literals to avoid replacing 'public' inside data
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string_literal_pattern = re.compile(r"'(?:[^']|'')*'")
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literals = []
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# Combined robust pattern for public.table, "public".table, public."table", "public"."table"
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# Matches: (optional quotes)public(optional quotes) . (optional quotes)tablename(optional quotes)
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# Group 1: opening quote for table, Group 2: table name, Group 3: closing quote for table
74-
pattern = r'(?i)\b"?public"?\s*\.\s*(")?(\w+)(")?'
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def store_literal(m):
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placeholder = f"__LITERAL_{len(literals)}__"
66+
literals.append(m.group(0))
67+
return placeholder
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def replace_schema(match):
77-
quoted_table = match.group(1) or ""
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table_name = match.group(2)
79-
closing_quote = match.group(3) or ""
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# Always use SQLUser (exact case) and preserve table quoting/casing
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return f"{IRIS_SCHEMA}.{quoted_table}{table_name}{closing_quote}"
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protected_sql = string_literal_pattern.sub(store_literal, sql)
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result = re.sub(pattern, replace_schema, result)
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# 2. Replace schema references in the protected SQL
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# Handle: public.table, "public".table, public."table", "public"."table"
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# Group 1: table name if it was quoted, Group 2: table name if it was unquoted
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pattern = r'(?i)(?:"public"|\bpublic\b)\s*\.\s*(?:"(\w+)"|(\w+))'
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85-
return result
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def replace_schema(match):
77+
quoted_name = match.group(1)
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unquoted_name = match.group(2)
79+
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if quoted_name:
81+
# Table name was quoted: preserve casing and quotes
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final_table = f'"{quoted_name}"'
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else:
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# Table name was unquoted: convert to uppercase and add quotes to be safe
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final_table = f'"{unquoted_name.upper()}"'
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return f"{IRIS_SCHEMA}.{final_table}"
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processed_sql = re.sub(pattern, replace_schema, protected_sql)
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# 3. Handle table_schema = 'public' inside the literals we protected
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# Actually, it's easier to just do it on the final result after restoring or specifically
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# But wait, Pattern 1 in original code handled this.
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# 4. Restore literals
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final_sql = processed_sql
97+
for i, literal in enumerate(literals):
98+
placeholder = f"__LITERAL_{i}__"
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# If the literal was 'public', translate it to IRIS_SCHEMA
100+
if literal.lower() == "'public'":
101+
literal = f"'{IRIS_SCHEMA}'"
102+
final_sql = final_sql.replace(placeholder, literal)
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return final_sql
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def translate_output_schema(

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