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chore: add SQLFluff configuration and enhance testing utilities
- Introduced a new `.sqlfluff` configuration file to enforce SQL formatting standards for the Gold Digger project, ensuring consistent SQL code style. - Updated `Cargo.toml` to include the `regex` dependency for enhanced functionality in test support utilities. - Enhanced the `justfile` with new targets for linting and fixing SQL files using SQLFluff, improving the development workflow. - Added comprehensive integration tests and support utilities for managing database containers, ensuring robust testing capabilities. These changes improve code quality and streamline the testing process for SQL queries in the Gold Digger project.
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.kiro/specs/integration-testing-enhancement/tasks.md

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- Verify both MySQL and MariaDB containers can be started successfully
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- _Requirements: 1.1, 1.2_
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- [ ] 1.1 Create integration test module structure and dependencies
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- [x] 1.1 Create integration test module structure and dependencies
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- Create `tests/integration/mod.rs` with common test utilities and setup functions
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- Add `tests/integration_tests.rs` as main entry point for integration tests

.sqlfluff

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# sqlfluff configuration for Gold Digger
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#
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# This configuration enforces SQL formatting standards for the Gold Digger
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# MySQL/MariaDB query tool. To use:
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#
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# sqlfluff lint tests/fixtures/**/*.sql
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# sqlfluff fix tests/fixtures/**/*.sql
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#
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# Or add to your development workflow via justfile/Makefile.
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[sqlfluff]
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# SQL dialect for Gold Digger - MySQL/MariaDB database tool
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dialect = mysql
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# Template processor (raw for no templating)
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templater = raw
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# Line length limit
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max_line_length = 80
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[sqlfluff:indentation]
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# Use spaces for indentation (4 spaces per indent level)
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indent_unit = space
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tab_space_size = 4
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[sqlfluff:rules:capitalisation.keywords]
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# Enforce uppercase keywords (SELECT, AS, FROM, WHERE, etc.)
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capitalisation_policy = upper
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[sqlfluff:rules:layout.long_lines]
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# Line length configuration - ignore long lines in comments
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ignore_comment_lines = true
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ignore_comment_clauses = true
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# Note: The tests/fixtures/test_queries/invalid.sql file
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# intentionally contains invalid SQL syntax for testing error handling.
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# The AM04 and parsing errors from this file are expected and correct.

Cargo.lock

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Cargo.toml

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assert_cmd = "2.0.17"
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insta = "1.43.1"
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temp-env = "0.3.6"
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regex = "1.11.1"
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[profile.release]
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lto = true

justfile

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cargo clippy --all-targets --release -- -D warnings
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cargo clippy --all-targets --no-default-features --features "json csv additional_mysql_types verbose" -- -D warnings
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# Lint SQL files with sqlfluff
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lint-sql:
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cd {{justfile_dir()}}
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@if command -v sqlfluff >/dev/null 2>&1; then \
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echo "Linting SQL files..."; \
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sqlfluff lint tests/fixtures/**/*.sql || echo "Note: Expected errors from invalid.sql test file are normal"; \
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else \
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echo "sqlfluff not installed - install with 'pip install sqlfluff'"; \
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exit 1; \
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fi
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# Fix SQL formatting with sqlfluff
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fix-sql:
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cd {{justfile_dir()}}
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@if command -v sqlfluff >/dev/null 2>&1; then \
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echo "Fixing SQL formatting..."; \
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sqlfluff fix tests/fixtures/**/*.sql; \
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else \
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echo "sqlfluff not installed - install with 'pip install sqlfluff'"; \
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exit 1; \
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fi
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# Run clippy with fixes
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fix:
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cargo clippy --fix --allow-dirty --allow-staged
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just test-no-docker
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# Quality gates (CI equivalent)
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ci-check: check fmt-check test validate-deps deny-check
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ci-check: check fmt-check lint-sql test validate-deps deny-check
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# Full CI workflow equivalent - mirrors .github/workflows/ci.yml exactly
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ci-full:
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@echo " format Format code"
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@echo " fmt-check Check formatting"
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@echo " lint Run clippy linting"
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@echo " lint-sql Lint SQL files with sqlfluff"
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@echo " fix Run clippy with automatic fixes"
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@echo " fix-sql Fix SQL formatting with sqlfluff"
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@echo " check Quick development checks"
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@echo " ci-check Full CI equivalent checks"
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@echo " ci-check Full CI equivalent checks (includes SQL linting)"
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@echo " ci-full Complete CI workflow equivalent (mirrors .github/workflows/ci.yml)"
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@echo " full-checks Comprehensive validation (all non-destructive checks)"
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@echo " deny-check Run cargo-deny checks (license & duplicates)"

tests/fixtures/schema.sql

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-- Basic test table
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CREATE TABLE IF NOT EXISTS test_basic (
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id INT PRIMARY KEY AUTO_INCREMENT,
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item_name VARCHAR(255),
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table_value INT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Comprehensive data types test table
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CREATE TABLE IF NOT EXISTS test_data_types (
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id INT PRIMARY KEY AUTO_INCREMENT,
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varchar_col VARCHAR(255),
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text_col TEXT,
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int_col INT,
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bigint_col BIGINT,
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decimal_col DECIMAL(10, 2),
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float_col FLOAT,
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double_col DOUBLE,
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date_col DATE,
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datetime_col DATETIME,
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timestamp_col TIMESTAMP,
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time_col TIME,
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year_col YEAR,
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binary_col BINARY(16),
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varbinary_col VARBINARY(255),
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blob_col BLOB,
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json_col JSON,
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enum_col ENUM('small', 'medium', 'large'),
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set_col SET('red', 'green', 'blue'),
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bool_col BOOLEAN
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);
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-- Edge cases test table
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CREATE TABLE IF NOT EXISTS test_edge_cases (
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id INT PRIMARY KEY,
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null_varchar VARCHAR(255),
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empty_string VARCHAR(255),
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unicode_text TEXT CHARACTER SET utf8mb4,
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large_text LONGTEXT,
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special_chars VARCHAR(255),
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numeric_string VARCHAR(50),
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zero_values INT,
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negative_values INT
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);
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-- Performance test table (for large datasets)
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CREATE TABLE IF NOT EXISTS test_performance (
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id INT PRIMARY KEY AUTO_INCREMENT,
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data_column VARCHAR(1000),
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numeric_column DECIMAL(15, 5),
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timestamp_column TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);

tests/fixtures/seed_data.sql

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-- Basic test data
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INSERT INTO test_basic (item_name, table_value)
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VALUES ('test1', 100)
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ON DUPLICATE KEY UPDATE table_value = VALUES (table_value);
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INSERT INTO test_basic (item_name, table_value)
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VALUES ('test2', 200)
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ON DUPLICATE KEY UPDATE table_value = VALUES (table_value);
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INSERT INTO test_basic (item_name, table_value)
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VALUES ('test3', 300)
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ON DUPLICATE KEY UPDATE table_value = VALUES (table_value);
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-- Comprehensive data types test data
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INSERT INTO test_data_types (
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varchar_col,
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text_col,
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int_col,
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bigint_col,
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decimal_col,
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float_col,
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double_col,
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date_col,
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datetime_col,
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timestamp_col,
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time_col,
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year_col,
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binary_col,
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varbinary_col,
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blob_col,
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json_col,
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enum_col,
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set_col,
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bool_col
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)
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VALUES (
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'Sample text',
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'Longer text content',
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42,
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9223372036854775807,
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123.45,
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3.14159,
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2.718281828,
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'2024-01-01',
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'2024-01-01 12:00:00',
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'2024-01-01 12:00:00',
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'12:00:00',
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2024,
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UNHEX('48656C6C6F20576F726C64210000000000'),
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UNHEX('48656C6C6F'),
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UNHEX('48656C6C6F20576F726C6421'),
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'{"key": "value", "number": 42}',
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'medium',
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'red,blue',
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TRUE
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)
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ON DUPLICATE KEY UPDATE varchar_col = VALUES (varchar_col);
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-- Edge cases test data
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INSERT INTO test_edge_cases (
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id,
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null_varchar,
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empty_string,
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unicode_text,
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large_text,
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special_chars,
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numeric_string,
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zero_values,
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negative_values
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)
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VALUES (
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1,
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NULL,
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'',
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'Hello 世界 🚀',
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REPEAT('Large text content ', 1000),
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'Special: ",\n\t',
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'12345',
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0,
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-42
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)
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ON DUPLICATE KEY UPDATE unicode_text = VALUES (unicode_text);
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INSERT INTO test_edge_cases (
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id,
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null_varchar,
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empty_string,
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unicode_text,
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large_text,
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special_chars,
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numeric_string,
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zero_values,
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negative_values
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)
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VALUES (
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2,
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NULL,
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'',
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'Café Ñoño',
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'Normal text',
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'Quotes: "Hello"',
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'67890',
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0,
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-100
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)
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ON DUPLICATE KEY UPDATE unicode_text = VALUES (unicode_text);
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SELECT
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1 AS id,
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'test' AS item_name,
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NOW() AS created_at
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SELECT
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'test string' AS varchar_col,
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1 AS int_col,
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123.45 AS decimal_col,
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TRUE AS bool_col,
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NULL AS null_col,
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NOW() AS datetime_col
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SELECT 1 AS id
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WHERE 1 = 0

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