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Robust schema mapping and reserved word protection (v1.1.1)
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CHANGELOG.md

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@@ -5,6 +5,14 @@ All notable changes to this project will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [1.1.1] - 2026-01-17
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### Fixed
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- **Robust Schema Mapping**: Rewrote `translate_input_schema` to correctly handle double-quoted schema names (e.g., `"public"."table"`). Previously, word boundaries caused a dangling quote issue (e.g., `"SQLUser."table"`).
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- **Reserved Word Conflict Protection**: Added automatic quoting and uppercasing for unquoted table names during schema mapping. This ensures that tables like `user` (an IRIS reserved word) are correctly translated to `SQLUser."USER"`.
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- **Centralized Mapping in Executor**: Integrated the centralized `translate_input_schema` into `iris_executor.py`, ensuring consistent behavior between embedded and DBAPI modes.
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- **Robust Generated Column Stripping**: Updated regex to handle multiline column definitions and nested parentheses more reliably.
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## [1.1.0] - 2026-01-17
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### Added

reproduce_bug.py

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from iris_pgwire.schema_mapper import translate_input_schema
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import re
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def reproduce():
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test_cases = [
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('SELECT * FROM "public"."workflow"', 'SELECT * FROM SQLUser."workflow"'),
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("SELECT * FROM public.workflow", 'SELECT * FROM SQLUser."WORKFLOW"'),
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('SELECT * FROM "public".workflow', 'SELECT * FROM SQLUser."WORKFLOW"'),
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('SELECT * FROM public."workflow"', 'SELECT * FROM SQLUser."workflow"'),
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('SELECT * FROM "public"."user"', 'SELECT * FROM SQLUser."user"'),
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("SELECT * FROM public.user", 'SELECT * FROM SQLUser."USER"'),
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]
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for sql, expected in test_cases:
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translated = translate_input_schema(sql)
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print(f"Input: {sql}")
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print(f"Output: {translated}")
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assert translated == expected
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if __name__ == "__main__":
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reproduce()

reproduce_dangling_quote.py

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import re
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def test_bug():
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# My thought: \b matches at the transition between non-word and word.
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# In 'FROM "public"', the characters are F, R, O, M, space, ", p, u, b, l, i, c, "
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# Transitions:
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# space(non-word) to "(non-word) -> NO \b
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# "(non-word) to p(word) -> YES \b
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# c(word) to "(non-word) -> YES \b
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# So \bpublic\b matches exactly public.
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# If the input is "public"."table", the regex matches:
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# 1. (?:"public"|\bpublic\b) -> matches "public" (first branch) OR public (second branch)
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# 2. .
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# 3. "table"
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# If it matches "public" via the FIRST branch, then group(0) is "public"."table".
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# BUT, regex engines try to match greedily or in order.
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# Let's test if the second branch \bpublic\b matches part of "public"
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sql = 'SELECT * FROM "public"."workflow"'
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pattern_v110 = r'(?i)(?:"public"|\bpublic\b)\s*\.\s*(?:"(\w+)"|(\w+))'
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match = re.search(pattern_v110, sql)
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print(f"Match: {match.group(0)}")
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print(f"Start: {match.start()}")
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# Wait, if Match Start is 14, then it matched "public" correctly.
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# SELECT * FROM (14 chars)
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# 01234567890123
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# Let's check with a DIFFERENT string
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sql2 = 'SELECT "public"."user"."id" FROM "public"."user"'
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match2 = re.search(pattern_v110, sql2)
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print(f"Match2: {match2.group(0)}")
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# Ah! I think I see it. If I use \bpublic\b it might match the INNER part.
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# But wait, my output above says Match found: '"public"."workflow"'
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# So it IS matching the quotes.
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if __name__ == "__main__":
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test_bug()

src/iris_pgwire/__init__.py

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caretdev/sqlalchemy-iris.
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"""
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__version__ = "1.1.0"
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__version__ = "1.1.1"
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__author__ = "IRIS PGWire Team"
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# Don't import server/protocol in __init__ to avoid sys.modules conflicts

src/iris_pgwire/iris_executor.py

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)
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# CRITICAL: Translate PostgreSQL schema names to IRIS schema names
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# Prisma sends: "public"."tablename" but IRIS needs: SQLUser.TABLENAME
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import re
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# Prisma/Drizzle send: "public"."tablename" but IRIS needs: SQLUser.TABLENAME
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from .schema_mapper import translate_input_schema
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original_sql_for_log = optimized_sql[:80]
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# Use centralized schema mapper for robust translation (Feature 036 Fix)
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optimized_sql = translate_input_schema(optimized_sql)
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# CRITICAL: Normalize parameters for IRIS compatibility (timestamps, lists, etc.)
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if optimized_params:
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optimized_params = tuple(self._normalize_parameters(optimized_params))
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# Replace "public"."tablename" with SQLUser."tablename" (preserve quotes on tablename)
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# Ensure we use the correct SQLUser casing
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optimized_sql = re.sub(
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r'"public"\s*\.\s*"(\w+)"', r'SQLUser."\1"', optimized_sql, flags=re.IGNORECASE
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)
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# Also handle public."tablename" without quotes on public
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optimized_sql = re.sub(
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r'\bpublic\s*\.\s*"(\w+)"', r'SQLUser."\1"', optimized_sql, flags=re.IGNORECASE
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)
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if original_sql_for_log != optimized_sql[:80]:
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logger.info(
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"Schema translation applied: public -> SQLUser",

src/iris_pgwire/schema_mapper.py

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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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# Group 1: opening quote for schema
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# Group 2: opening quote for table, Group 3: table name
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pattern = r'(?i)(?:"public"|\bpublic\b)\s*\.\s*(?:"(\w+)"|(\w+))'
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def replace_schema(match):

src/iris_pgwire/sql_translator/identifier_normalizer.py

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# Feature 036: Pre-normalization transformations (before chunking)
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# 1. Strip GENERATED ALWAYS AS ... STORED column definitions
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# We do this before chunking to handle multiline/nested parens safely
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if "GENERATED ALWAYS AS" in sql.upper():
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# Robust extraction of columns to strip
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# Pattern: col_name type GENERATED ALWAYS AS (...) STORED
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# We use a non-greedy match for the column name/type part
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# and handled nested parens by matching until 'STORED'
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sql = re.sub(
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r"(?i),?\s*[\w\"]+\s+[\w\"]+(?:\s*\([^)]*\))?\s+GENERATED\s+ALWAYS\s+AS\s*\(.*?\)\s*STORED",
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"",
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sql,
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flags=re.DOTALL,
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)
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# Log warning
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import logging

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