feat: Add MySQL to PostgreSQL migration tool with JSONB transformation

Implement comprehensive migration solution with:
- Full and incremental migration modes
- JSONB schema transformation for RAWDATACOR and ELABDATADISP tables
- Native PostgreSQL partitioning (2014-2031)
- Optimized GIN indexes for JSONB queries
- Rich logging with progress tracking
- Complete benchmark system for MySQL vs PostgreSQL comparison
- CLI interface with multiple commands (setup, migrate, benchmark)
- Configuration management via .env file
- Error handling and retry logic
- Batch processing for performance (configurable batch size)

Database transformations:
- RAWDATACOR: 16 Val columns + units → single JSONB measurements
- ELABDATADISP: 25+ measurement fields → structured JSONB with categories

🤖 Generated with Claude Code

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>

.env.example

@@ -0,0 +1,22 @@
+# MySQL Source Database
+MYSQL_HOST=localhost
+MYSQL_PORT=3306
+MYSQL_USER=root
+MYSQL_PASSWORD=your_mysql_password
+MYSQL_DATABASE=your_database_name
+
+# PostgreSQL Target Database (container Incus)
+POSTGRES_HOST=localhost
+POSTGRES_PORT=5432
+POSTGRES_USER=postgres
+POSTGRES_PASSWORD=your_postgres_password
+POSTGRES_DATABASE=migrated_db
+
+# Migration Settings
+BATCH_SIZE=10000
+LOG_LEVEL=INFO
+DRY_RUN=false
+
+# Performance Testing
+BENCHMARK_OUTPUT_DIR=benchmark_results
+BENCHMARK_ITERATIONS=5

.gitignore

@@ -0,0 +1,32 @@
+# Environment variables
+.env
+.env.local
+.env.*.local
+
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+.DS_Store
+
+# Testing
+.pytest_cache/
+.coverage
+
+# Project specific
+*.log
+migration_state.json
+benchmark_results/

.python-version

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+3.14

config.py

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+"""Configuration management using Pydantic settings."""
+from pydantic_settings import BaseSettings
+from typing import Optional
+import os
+
+
+class DatabaseConfig(BaseSettings):
+    """Database configuration."""
+
+    host: str
+    port: int
+    user: str
+    password: str
+    database: str
+
+    class Config:
+        env_prefix: str = ""
+
+
+class MySQLConfig(DatabaseConfig):
+    """MySQL source database configuration."""
+
+    class Config:
+        env_prefix: str = "MYSQL_"
+
+
+class PostgreSQLConfig(DatabaseConfig):
+    """PostgreSQL target database configuration."""
+
+    class Config:
+        env_prefix: str = "POSTGRES_"
+
+
+class MigrationSettings(BaseSettings):
+    """Migration settings."""
+
+    batch_size: int = 10000
+    log_level: str = "INFO"
+    dry_run: bool = False
+
+    class Config:
+        env_file = ".env"
+        case_sensitive = False
+
+
+class BenchmarkSettings(BaseSettings):
+    """Benchmark settings."""
+
+    output_dir: str = "benchmark_results"
+    iterations: int = 5
+
+    class Config:
+        env_prefix: str = "BENCHMARK_"
+        env_file = ".env"
+        case_sensitive = False
+
+
+class Settings(BaseSettings):
+    """All application settings."""
+
+    mysql: MySQLConfig
+    postgres: PostgreSQLConfig
+    migration: MigrationSettings
+    benchmark: BenchmarkSettings
+
+    class Config:
+        env_file = ".env"
+        case_sensitive = False
+
+    @classmethod
+    def from_env(cls):
+        """Load settings from environment variables."""
+        return cls(
+            mysql=MySQLConfig(),
+            postgres=PostgreSQLConfig(),
+            migration=MigrationSettings(),
+            benchmark=BenchmarkSettings(),
+        )
+
+
+# Lazy load settings
+_settings: Optional[Settings] = None
+
+
+def get_settings() -> Settings:
+    """Get application settings, loading from .env if necessary."""
+    global _settings
+    if _settings is None:
+        _settings = Settings.from_env()
+    return _settings
+
+
+# Schema transformation definitions
+RAWDATACOR_COLUMNS = {
+    "val_columns": ["Val0", "Val1", "Val2", "Val3", "Val4", "Val5", "Val6", "Val7", "Val8", "Val9", "ValA", "ValB", "ValC", "ValD", "ValE", "ValF"],
+    "unit_columns": ["Val0_unitmisure", "Val1_unitmisure", "Val2_unitmisure", "Val3_unitmisure", "Val4_unitmisure", "Val5_unitmisure", "Val6_unitmisure", "Val7_unitmisure", "Val8_unitmisure", "Val9_unitmisure", "ValA_unitmisure", "ValB_unitmisure", "ValC_unitmisure", "ValD_unitmisure", "ValE_unitmisure", "ValF_unitmisure"],
+}
+
+ELABDATADISP_MEASUREMENT_FIELDS = {
+    "shifts": ["XShift", "YShift", "ZShift", "HShift", "HShiftDir", "HShift_local"],
+    "coordinates": ["X", "Y", "Z", "Xstar", "Zstar"],
+    "kinematics": ["speed", "speed_local", "acceleration", "acceleration_local"],
+    "sensors": ["T_node", "load_value", "water_level", "pressure"],
+    "calculated": ["AlfaX", "AlfaY", "Area"],
+}
+
+ELABDATADISP_FIELD_MAPPING = {
+    # shifts mapping (source -> (category, key))
+    "XShift": ("shifts", "x"),
+    "YShift": ("shifts", "y"),
+    "ZShift": ("shifts", "z"),
+    "HShift": ("shifts", "h"),
+    "HShiftDir": ("shifts", "h_dir"),
+    "HShift_local": ("shifts", "h_local"),
+    # coordinates mapping
+    "X": ("coordinates", "x"),
+    "Y": ("coordinates", "y"),
+    "Z": ("coordinates", "z"),
+    "Xstar": ("coordinates", "x_star"),
+    "Zstar": ("coordinates", "z_star"),
+    # kinematics mapping
+    "speed": ("kinematics", "speed"),
+    "speed_local": ("kinematics", "speed_local"),
+    "acceleration": ("kinematics", "acceleration"),
+    "acceleration_local": ("kinematics", "acceleration_local"),
+    # sensors mapping
+    "T_node": ("sensors", "t_node"),
+    "load_value": ("sensors", "load_value"),
+    "water_level": ("sensors", "water_level"),
+    "pressure": ("sensors", "pressure"),
+    # calculated mapping
+    "AlfaX": ("calculated", "alfa_x"),
+    "AlfaY": ("calculated", "alfa_y"),
+    "Area": ("calculated", "area"),
+}
+
+# PostgreSQL Partition years (from both tables)
+PARTITION_YEARS = list(range(2014, 2032))  # 2014-2031
+
+# Table configurations
+TABLE_CONFIGS = {
+    "rawdatacor": {
+        "mysql_table": "RAWDATACOR",
+        "postgres_table": "rawdatacor",
+        "primary_key": "id",
+        "partition_key": "event_date",
+    },
+    "elabdatadisp": {
+        "mysql_table": "ELABDATADISP",
+        "postgres_table": "elabdatadisp",
+        "primary_key": "idElabData",
+        "partition_key": "event_date",
+    },
+}

main.py

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+"""MySQL to PostgreSQL migration tool CLI."""
+import click
+import sys
+from pathlib import Path
+
+from config import get_settings
+from src.utils.logger import setup_logger, get_logger
+from src.transformers.schema_transformer import get_full_schema_script
+from src.migrator.full_migration import run_full_migration
+from src.migrator.incremental_migration import run_incremental_migration
+from src.benchmark.performance_test import run_benchmark
+from src.connectors.postgres_connector import PostgreSQLConnector
+
+logger = get_logger(__name__)
+
+
+@click.group()
+@click.pass_context
+def cli(ctx):
+    """MySQL to PostgreSQL migration tool with performance benchmarking."""
+    setup_logger(__name__)
+    ctx.ensure_object(dict)
+
+
+@cli.command()
+@click.option(
+    "--create-schema",
+    is_flag=True,
+    help="Create PostgreSQL schema and partitions"
+)
+def setup(create_schema):
+    """Setup PostgreSQL database."""
+    setup_logger(__name__)
+
+    if not create_schema:
+        click.echo("Usage: python main.py setup --create-schema")
+        click.echo("Create PostgreSQL schema and partitions")
+        return
+
+    try:
+        with PostgreSQLConnector() as pg_conn:
+            logger.info("Creating PostgreSQL schema...")
+            schema_script = get_full_schema_script()
+            pg_conn.execute_script(schema_script)
+            logger.info("✓ Schema creation complete")
+            click.echo("✓ PostgreSQL schema created successfully")
+
+    except Exception as e:
+        logger.error(f"Setup failed: {e}")
+        click.echo(f"✗ Setup failed: {e}", err=True)
+        sys.exit(1)
+
+
+@cli.group()
+def migrate():
+    """Migrate data from MySQL to PostgreSQL."""
+    pass
+
+
+@migrate.command()
+@click.option(
+    "--table",
+    type=click.Choice(["RAWDATACOR", "ELABDATADISP", "all"]),
+    default="all",
+    help="Table to migrate (default: all)"
+)
+@click.option(
+    "--dry-run",
+    is_flag=True,
+    help="Show what would be done without modifying data"
+)
+def full(table, dry_run):
+    """Perform full migration of all data."""
+    setup_logger(__name__)
+
+    tables = ["RAWDATACOR", "ELABDATADISP"] if table == "all" else [table]
+
+    try:
+        total_migrated = 0
+
+        for tbl in tables:
+            click.echo(f"\nMigrating {tbl}...")
+            migrated = run_full_migration(tbl, dry_run=dry_run)
+            total_migrated += migrated
+            click.echo(f"✓ {tbl}: {migrated} rows migrated")
+
+        click.echo(f"\n✓ Full migration complete: {total_migrated} total rows migrated")
+
+    except Exception as e:
+        logger.error(f"Migration failed: {e}")
+        click.echo(f"✗ Migration failed: {e}", err=True)
+        sys.exit(1)
+
+
+@migrate.command()
+@click.option(
+    "--table",
+    type=click.Choice(["RAWDATACOR", "ELABDATADISP", "all"]),
+    default="all",
+    help="Table to migrate (default: all)"
+)
+@click.option(
+    "--dry-run",
+    is_flag=True,
+    help="Show what would be done without modifying data"
+)
+@click.option(
+    "--state-file",
+    default="migration_state.json",
+    help="Path to migration state file"
+)
+def incremental(table, dry_run, state_file):
+    """Perform incremental migration since last sync."""
+    setup_logger(__name__)
+
+    tables = ["RAWDATACOR", "ELABDATADISP"] if table == "all" else [table]
+
+    try:
+        total_migrated = 0
+
+        for tbl in tables:
+            click.echo(f"\nIncremental migration for {tbl}...")
+            migrated = run_incremental_migration(tbl, dry_run=dry_run, state_file=state_file)
+            total_migrated += migrated
+            if migrated > 0:
+                click.echo(f"✓ {tbl}: {migrated} rows migrated")
+            else:
+                click.echo(f"ℹ {tbl}: No new rows to migrate")
+
+        if total_migrated == 0:
+            click.echo("\nℹ No rows to migrate")
+        else:
+            click.echo(f"\n✓ Incremental migration complete: {total_migrated} total rows migrated")
+
+    except Exception as e:
+        logger.error(f"Incremental migration failed: {e}")
+        click.echo(f"✗ Incremental migration failed: {e}", err=True)
+        sys.exit(1)
+
+
+@cli.command()
+@click.option(
+    "--iterations",
+    type=int,
+    default=None,
+    help="Number of iterations per query (default from config)"
+)
+@click.option(
+    "--output",
+    type=click.Path(),
+    default=None,
+    help="Output file path (default: benchmark_results/benchmark_TIMESTAMP.json)"
+)
+def benchmark(iterations, output):
+    """Run performance benchmarks comparing MySQL and PostgreSQL."""
+    setup_logger(__name__)
+
+    try:
+        click.echo("Running performance benchmarks...")
+        output_file = run_benchmark(iterations=iterations, output_file=output)
+        click.echo(f"✓ Benchmark complete: results saved to {output_file}")
+
+    except Exception as e:
+        logger.error(f"Benchmark failed: {e}")
+        click.echo(f"✗ Benchmark failed: {e}", err=True)
+        sys.exit(1)
+
+
+@cli.command()
+def info():
+    """Show configuration information."""
+    setup_logger(__name__)
+
+    settings = get_settings()
+
+    click.echo("\n[MySQL Configuration]")
+    click.echo(f"  Host: {settings.mysql.host}:{settings.mysql.port}")
+    click.echo(f"  Database: {settings.mysql.database}")
+    click.echo(f"  User: {settings.mysql.user}")
+
+    click.echo("\n[PostgreSQL Configuration]")
+    click.echo(f"  Host: {settings.postgres.host}:{settings.postgres.port}")
+    click.echo(f"  Database: {settings.postgres.database}")
+    click.echo(f"  User: {settings.postgres.user}")
+
+    click.echo("\n[Migration Settings]")
+    click.echo(f"  Batch Size: {settings.migration.batch_size}")
+    click.echo(f"  Log Level: {settings.migration.log_level}")
+    click.echo(f"  Dry Run: {settings.migration.dry_run}")
+
+    click.echo("\n[Benchmark Settings]")
+    click.echo(f"  Output Directory: {settings.benchmark.output_dir}")
+    click.echo(f"  Iterations: {settings.benchmark.iterations}")
+
+
+if __name__ == "__main__":
+    cli(obj={})

pyproject.toml

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+[project]
+name = "mysql2postgres"
+version = "0.1.0"
+description = "Robust MySQL to PostgreSQL migration tool with schema transformation and performance benchmarking"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "pymysql>=1.1.0",
+    "psycopg[binary]>=3.1.0",
+    "python-dotenv>=1.0.0",
+    "click>=8.1.0",
+    "rich>=13.0.0",
+    "pydantic>=2.5.0",
+    "pydantic-settings>=2.1.0",
+]

src/__init__.py

@@ -0,0 +1 @@
+"""MySQL to PostgreSQL migration tool."""

src/benchmark/performance_test.py

@@ -0,0 +1,263 @@
+"""Performance benchmarking for MySQL vs PostgreSQL."""
+import json
+import time
+from typing import Dict, List, Any, Optional, Tuple
+from pathlib import Path
+from datetime import datetime
+import statistics
+
+from config import get_settings
+from src.connectors.mysql_connector import MySQLConnector
+from src.connectors.postgres_connector import PostgreSQLConnector
+from src.benchmark.query_generator import BenchmarkQueryGenerator
+from src.utils.logger import get_logger, setup_logger
+
+logger = get_logger(__name__)
+
+
+class PerformanceBenchmark:
+    """Run performance benchmarks comparing MySQL and PostgreSQL."""
+
+    def __init__(self, iterations: int = 5):
+        """Initialize benchmark runner.
+
+        Args:
+            iterations: Number of times to run each query
+        """
+        self.iterations = iterations
+        self.settings = get_settings()
+        self.results = {}
+
+    def run_all_benchmarks(self) -> Dict[str, Any]:
+        """Run all benchmarks.
+
+        Returns:
+            Benchmark results dictionary
+        """
+        setup_logger(__name__)
+        logger.info(f"Starting performance benchmarks ({self.iterations} iterations per query)")
+
+        all_queries = BenchmarkQueryGenerator.get_all_benchmark_queries()
+        results = {
+            "timestamp": datetime.utcnow().isoformat(),
+            "iterations": self.iterations,
+            "tables": {},
+        }
+
+        for table_name, query_categories in all_queries.items():
+            logger.info(f"Benchmarking {table_name}...")
+            table_results = self._benchmark_table(table_name, query_categories)
+            results["tables"][table_name] = table_results
+
+        return results
+
+    def _benchmark_table(
+        self,
+        table: str,
+        query_categories: Dict[str, List[Tuple[str, str]]]
+    ) -> Dict[str, Any]:
+        """Benchmark queries for a specific table.
+
+        Args:
+            table: Table name
+            query_categories: Dictionary of query categories
+
+        Returns:
+            Benchmark results for the table
+        """
+        results = {}
+
+        try:
+            with MySQLConnector() as mysql_conn:
+                with PostgreSQLConnector() as pg_conn:
+                    for category, queries in query_categories.items():
+                        logger.debug(f"  Benchmarking {category}...")
+                        results[category] = self._benchmark_query_pair(
+                            mysql_conn,
+                            pg_conn,
+                            queries[0],
+                            category
+                        )
+
+        except Exception as e:
+            logger.error(f"Benchmark failed: {e}")
+            raise
+
+        return results
+
+    def _benchmark_query_pair(
+        self,
+        mysql_conn: MySQLConnector,
+        pg_conn: PostgreSQLConnector,
+        queries: Tuple[str, str],
+        category: str
+    ) -> Dict[str, Any]:
+        """Benchmark a pair of MySQL and PostgreSQL queries.
+
+        Args:
+            mysql_conn: MySQL connector
+            pg_conn: PostgreSQL connector
+            queries: Tuple of (mysql_query, postgres_query)
+            category: Query category name
+
+        Returns:
+            Benchmark results for the query pair
+        """
+        mysql_query, pg_query = queries
+        result = {
+            "category": category,
+            "mysql": None,
+            "postgres": None,
+        }
+
+        # Benchmark MySQL query
+        if mysql_query:
+            try:
+                times = []
+                for _ in range(self.iterations):
+                    start = time.perf_counter()
+                    with mysql_conn.connection.cursor() as cursor:
+                        cursor.execute(mysql_query)
+                        rows = cursor.fetchall()
+                    end = time.perf_counter()
+                    times.append((end - start) * 1000)  # Convert to ms
+
+                result["mysql"] = self._calculate_stats(times, len(rows) if rows else 0)
+                logger.debug(f"    MySQL {category}: {result['mysql']['mean']:.2f}ms")
+
+            except Exception as e:
+                logger.warning(f"MySQL query failed: {e}")
+                result["mysql"] = {"error": str(e)}
+
+        # Benchmark PostgreSQL query
+        if pg_query:
+            try:
+                times = []
+                for _ in range(self.iterations):
+                    start = time.perf_counter()
+                    with pg_conn.connection.cursor() as cursor:
+                        cursor.execute(pg_query)
+                        rows = cursor.fetchall()
+                    end = time.perf_counter()
+                    times.append((end - start) * 1000)  # Convert to ms
+
+                result["postgres"] = self._calculate_stats(times, len(rows) if rows else 0)
+                logger.debug(f"    PostgreSQL {category}: {result['postgres']['mean']:.2f}ms")
+
+            except Exception as e:
+                logger.warning(f"PostgreSQL query failed: {e}")
+                result["postgres"] = {"error": str(e)}
+
+        return result
+
+    @staticmethod
+    def _calculate_stats(times: List[float], row_count: int = 0) -> Dict[str, float]:
+        """Calculate statistics for a list of execution times.
+
+        Args:
+            times: List of execution times in milliseconds
+            row_count: Number of rows returned (for throughput calculation)
+
+        Returns:
+            Dictionary with statistics
+        """
+        if not times:
+            return {}
+
+        return {
+            "min": min(times),
+            "max": max(times),
+            "mean": statistics.mean(times),
+            "median": statistics.median(times),
+            "stdev": statistics.stdev(times) if len(times) > 1 else 0,
+            "p95": sorted(times)[int(len(times) * 0.95)] if len(times) > 1 else times[0],
+            "row_count": row_count,
+            "throughput": (row_count / (statistics.mean(times) / 1000)) if times and statistics.mean(times) > 0 else 0,
+        }
+
+    def save_results(self, results: Dict[str, Any], output_file: Optional[str] = None) -> str:
+        """Save benchmark results to file.
+
+        Args:
+            results: Benchmark results
+            output_file: Output file path (uses default from config if None)
+
+        Returns:
+            Path to output file
+        """
+        if output_file is None:
+            output_dir = Path(self.settings.benchmark.output_dir)
+            output_dir.mkdir(exist_ok=True)
+            timestamp = datetime.utcnow().strftime("%Y%m%d_%H%M%S")
+            output_file = output_dir / f"benchmark_{timestamp}.json"
+        else:
+            output_file = Path(output_file)
+            output_file.parent.mkdir(parents=True, exist_ok=True)
+
+        try:
+            with open(output_file, "w") as f:
+                json.dump(results, f, indent=2)
+            logger.info(f"Benchmark results saved to {output_file}")
+            return str(output_file)
+        except Exception as e:
+            logger.error(f"Failed to save results: {e}")
+            raise
+
+    @staticmethod
+    def print_results(results: Dict[str, Any]) -> None:
+        """Print benchmark results in a readable format.
+
+        Args:
+            results: Benchmark results
+        """
+        from rich.console import Console
+        from rich.table import Table
+
+        console = Console()
+
+        for table_name, table_results in results.get("tables", {}).items():
+            console.print(f"\n[bold]{table_name}[/bold]")
+
+            for category, query_result in table_results.items():
+                mysql_result = query_result.get("mysql")
+                pg_result = query_result.get("postgres")
+
+                console.print(f"\n  {category}:")
+
+                if mysql_result and "mean" in mysql_result:
+                    console.print(
+                        f"    MySQL: {mysql_result['mean']:.2f}ms "
+                        f"(min: {mysql_result['min']:.2f}ms, max: {mysql_result['max']:.2f}ms)"
+                    )
+
+                if pg_result and "mean" in pg_result:
+                    speedup = mysql_result['mean'] / pg_result['mean'] if mysql_result and 'mean' in mysql_result else 0
+                    console.print(
+                        f"    PostgreSQL: {pg_result['mean']:.2f}ms "
+                        f"(min: {pg_result['min']:.2f}ms, max: {pg_result['max']:.2f}ms)"
+                    )
+                    if speedup:
+                        if speedup > 1:
+                            console.print(f"    [green]✓ PostgreSQL is {speedup:.1f}x faster[/green]")
+                        else:
+                            console.print(f"    [yellow]⚠ MySQL is {1/speedup:.1f}x faster[/yellow]")
+
+
+def run_benchmark(iterations: Optional[int] = None, output_file: Optional[str] = None) -> str:
+    """Run performance benchmark and save results.
+
+    Args:
+        iterations: Number of iterations per query
+        output_file: Output file path
+
+    Returns:
+        Path to results file
+    """
+    if iterations is None:
+        settings = get_settings()
+        iterations = settings.benchmark.iterations
+
+    benchmark = PerformanceBenchmark(iterations=iterations)
+    results = benchmark.run_all_benchmarks()
+    benchmark.print_results(results)
+    return benchmark.save_results(results, output_file)

src/benchmark/query_generator.py

@@ -0,0 +1,173 @@
+"""Benchmark query generator for MySQL and PostgreSQL."""
+from typing import List, Dict, Tuple, Any
+from datetime import datetime, timedelta
+import random
+
+
+class BenchmarkQueryGenerator:
+    """Generate benchmark queries for performance testing."""
+
+    @staticmethod
+    def generate_rawdatacor_queries() -> Dict[str, List[Tuple[str, str]]]:
+        """Generate benchmark queries for RAWDATACOR table.
+
+        Returns:
+            Dictionary with query categories and (mysql_query, postgres_query) tuples
+        """
+        # Sample data for queries
+        sample_unit_name = "Unit1"
+        sample_tool_name = "Tool1"
+        sample_node_num = 1
+        sample_date_start = "2024-01-01"
+        sample_date_end = "2024-01-31"
+
+        queries = {
+            "select_by_pk": [
+                (
+                    "SELECT * FROM `RAWDATACOR` WHERE `id` = 1000 AND `EventDate` = '2024-01-15'",
+                    "SELECT * FROM rawdatacor WHERE id = 1000 AND event_date = '2024-01-15'"
+                )
+            ],
+            "select_by_date_range": [
+                (
+                    f"SELECT * FROM `RAWDATACOR` WHERE `EventDate` BETWEEN '{sample_date_start}' AND '{sample_date_end}'",
+                    f"SELECT * FROM rawdatacor WHERE event_date BETWEEN '{sample_date_start}' AND '{sample_date_end}'"
+                )
+            ],
+            "select_by_unit_tool": [
+                (
+                    f"SELECT * FROM `RAWDATACOR` WHERE `UnitName` = '{sample_unit_name}' AND `ToolNameID` = '{sample_tool_name}'",
+                    f"SELECT * FROM rawdatacor WHERE unit_name = '{sample_unit_name}' AND tool_name_id = '{sample_tool_name}'"
+                )
+            ],
+            "select_count_by_unit": [
+                (
+                    f"SELECT COUNT(*) FROM `RAWDATACOR` WHERE `UnitName` = '{sample_unit_name}'",
+                    f"SELECT COUNT(*) FROM rawdatacor WHERE unit_name = '{sample_unit_name}'"
+                )
+            ],
+            "jsonb_filter_value": [
+                (
+                    None,  # Not applicable for MySQL
+                    f"SELECT * FROM rawdatacor WHERE measurements->>'0'->>'value' IS NOT NULL LIMIT 1000"
+                )
+            ],
+            "jsonb_contains": [
+                (
+                    None,  # Not applicable for MySQL
+                    f"SELECT * FROM rawdatacor WHERE measurements ? '0' LIMIT 1000"
+                )
+            ],
+            "aggregate_by_date": [
+                (
+                    "SELECT `EventDate`, COUNT(*) as count FROM `RAWDATACOR` GROUP BY `EventDate` ORDER BY `EventDate`",
+                    "SELECT event_date, COUNT(*) as count FROM rawdatacor GROUP BY event_date ORDER BY event_date"
+                )
+            ],
+            "aggregate_with_filter": [
+                (
+                    f"SELECT `UnitName`, `ToolNameID`, COUNT(*) as count FROM `RAWDATACOR` WHERE `EventDate` >= '{sample_date_start}' GROUP BY `UnitName`, `ToolNameID`",
+                    f"SELECT unit_name, tool_name_id, COUNT(*) as count FROM rawdatacor WHERE event_date >= '{sample_date_start}' GROUP BY unit_name, tool_name_id"
+                )
+            ],
+        }
+
+        return queries
+
+    @staticmethod
+    def generate_elabdatadisp_queries() -> Dict[str, List[Tuple[str, str]]]:
+        """Generate benchmark queries for ELABDATADISP table.
+
+        Returns:
+            Dictionary with query categories and (mysql_query, postgres_query) tuples
+        """
+        sample_unit_name = "Unit1"
+        sample_tool_name = "Tool1"
+        sample_date_start = "2024-01-01"
+        sample_date_end = "2024-01-31"
+
+        queries = {
+            "select_by_pk": [
+                (
+                    "SELECT * FROM `ELABDATADISP` WHERE `idElabData` = 5000 AND `EventDate` = '2024-01-15'",
+                    "SELECT * FROM elabdatadisp WHERE id_elab_data = 5000 AND event_date = '2024-01-15'"
+                )
+            ],
+            "select_by_date_range": [
+                (
+                    f"SELECT * FROM `ELABDATADISP` WHERE `EventDate` BETWEEN '{sample_date_start}' AND '{sample_date_end}'",
+                    f"SELECT * FROM elabdatadisp WHERE event_date BETWEEN '{sample_date_start}' AND '{sample_date_end}'"
+                )
+            ],
+            "select_by_unit_tool": [
+                (
+                    f"SELECT * FROM `ELABDATADISP` WHERE `UnitName` = '{sample_unit_name}' AND `ToolNameID` = '{sample_tool_name}'",
+                    f"SELECT * FROM elabdatadisp WHERE unit_name = '{sample_unit_name}' AND tool_name_id = '{sample_tool_name}'"
+                )
+            ],
+            "jsonb_filter_speed": [
+                (
+                    None,
+                    f"SELECT * FROM elabdatadisp WHERE measurements->'kinematics'->>'speed' IS NOT NULL LIMIT 1000"
+                )
+            ],
+            "jsonb_range_query": [
+                (
+                    None,
+                    f"SELECT * FROM elabdatadisp WHERE (measurements->'kinematics'->>'speed')::NUMERIC > 1.0 LIMIT 1000"
+                )
+            ],
+            "jsonb_nested_contains": [
+                (
+                    None,
+                    f"SELECT * FROM elabdatadisp WHERE measurements @> '{{\"kinematics\"{{}}}}' LIMIT 1000"
+                )
+            ],
+            "aggregate_measurements": [
+                (
+                    None,
+                    f"SELECT unit_name, AVG((measurements->'kinematics'->>'speed')::NUMERIC) as avg_speed FROM elabdatadisp WHERE event_date >= '{sample_date_start}' GROUP BY unit_name LIMIT 100"
+                )
+            ],
+            "count_by_state": [
+                (
+                    f"SELECT `State`, COUNT(*) as count FROM `ELABDATADISP` GROUP BY `State`",
+                    f"SELECT state, COUNT(*) as count FROM elabdatadisp GROUP BY state"
+                )
+            ],
+        }
+
+        return queries
+
+    @staticmethod
+    def generate_insert_queries() -> Dict[str, Tuple[str, str]]:
+        """Generate INSERT benchmark queries.
+
+        Returns:
+            Dictionary with (mysql_query, postgres_query) tuples
+        """
+        # These are placeholders - actual queries would be generated based on schema
+        queries = {
+            "insert_single_rawdatacor": (
+                "INSERT INTO `RAWDATACOR` (`UnitName`, `ToolNameID`, `NodeNum`, `EventDate`, `EventTime`, `BatLevel`, `Temperature`) VALUES ('Unit1', 'Tool1', 1, '2024-01-01', '12:00:00', 3.5, 25.5)",
+                "INSERT INTO rawdatacor (unit_name, tool_name_id, node_num, event_date, event_time, bat_level, temperature, measurements) VALUES ('Unit1', 'Tool1', 1, '2024-01-01', '12:00:00', 3.5, 25.5, '{}')"
+            ),
+            "insert_single_elabdatadisp": (
+                "INSERT INTO `ELABDATADISP` (`UnitName`, `ToolNameID`, `NodeNum`, `EventDate`, `EventTime`) VALUES ('Unit1', 'Tool1', 1, '2024-01-01', '12:00:00')",
+                "INSERT INTO elabdatadisp (unit_name, tool_name_id, node_num, event_date, event_time, measurements) VALUES ('Unit1', 'Tool1', 1, '2024-01-01', '12:00:00', '{}')"
+            ),
+        }
+
+        return queries
+
+    @staticmethod
+    def get_all_benchmark_queries() -> Dict[str, Dict[str, List[Tuple[str, str]]]]:
+        """Get all benchmark queries organized by table.
+
+        Returns:
+            Dictionary with table names as keys and query dictionaries as values
+        """
+        return {
+            "RAWDATACOR": BenchmarkQueryGenerator.generate_rawdatacor_queries(),
+            "ELABDATADISP": BenchmarkQueryGenerator.generate_elabdatadisp_queries(),
+        }

src/connectors/mysql_connector.py

@@ -0,0 +1,166 @@
+"""MySQL database connector."""
+import pymysql
+from typing import List, Dict, Any, Optional, Generator
+from config import get_settings
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class MySQLConnector:
+    """Connector for MySQL database."""
+
+    def __init__(self):
+        """Initialize MySQL connector with settings."""
+        self.settings = get_settings()
+        self.connection = None
+
+    def connect(self) -> None:
+        """Establish connection to MySQL database."""
+        try:
+            self.connection = pymysql.connect(
+                host=self.settings.mysql.host,
+                port=self.settings.mysql.port,
+                user=self.settings.mysql.user,
+                password=self.settings.mysql.password,
+                database=self.settings.mysql.database,
+                charset="utf8mb4",
+                cursorclass=pymysql.cursors.DictCursor,
+            )
+            logger.info(
+                f"Connected to MySQL: {self.settings.mysql.host}:"
+                f"{self.settings.mysql.port}/{self.settings.mysql.database}"
+            )
+        except pymysql.Error as e:
+            logger.error(f"Failed to connect to MySQL: {e}")
+            raise
+
+    def disconnect(self) -> None:
+        """Close connection to MySQL database."""
+        if self.connection:
+            self.connection.close()
+            logger.info("Disconnected from MySQL")
+
+    def __enter__(self):
+        """Context manager entry."""
+        self.connect()
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        """Context manager exit."""
+        self.disconnect()
+
+    def get_row_count(self, table: str) -> int:
+        """Get total row count for a table.
+
+        Args:
+            table: Table name
+
+        Returns:
+            Number of rows in the table
+        """
+        try:
+            with self.connection.cursor() as cursor:
+                cursor.execute(f"SELECT COUNT(*) as count FROM `{table}`")
+                result = cursor.fetchone()
+                return result["count"]
+        except pymysql.Error as e:
+            logger.error(f"Failed to get row count for {table}: {e}")
+            raise
+
+    def fetch_all_rows(
+        self,
+        table: str,
+        batch_size: Optional[int] = None
+    ) -> Generator[List[Dict[str, Any]], None, None]:
+        """Fetch all rows from a table in batches.
+
+        Args:
+            table: Table name
+            batch_size: Number of rows per batch (uses config default if None)
+
+        Yields:
+            Batches of row dictionaries
+        """
+        if batch_size is None:
+            batch_size = self.settings.migration.batch_size
+
+        offset = 0
+        while True:
+            try:
+                with self.connection.cursor() as cursor:
+                    query = f"SELECT * FROM `{table}` LIMIT %s OFFSET %s"
+                    cursor.execute(query, (batch_size, offset))
+                    rows = cursor.fetchall()
+
+                    if not rows:
+                        break
+
+                    yield rows
+                    offset += len(rows)
+
+            except pymysql.Error as e:
+                logger.error(f"Failed to fetch rows from {table}: {e}")
+                raise
+
+    def fetch_rows_since(
+        self,
+        table: str,
+        since_timestamp: str,
+        batch_size: Optional[int] = None
+    ) -> Generator[List[Dict[str, Any]], None, None]:
+        """Fetch rows modified since a timestamp.
+
+        Args:
+            table: Table name
+            since_timestamp: ISO format timestamp (e.g., '2024-01-01T00:00:00')
+            batch_size: Number of rows per batch (uses config default if None)
+
+        Yields:
+            Batches of row dictionaries
+        """
+        if batch_size is None:
+            batch_size = self.settings.migration.batch_size
+
+        offset = 0
+        timestamp_col = "updated_at" if table == "ELABDATADISP" else "created_at"
+
+        while True:
+            try:
+                with self.connection.cursor() as cursor:
+                    query = (
+                        f"SELECT * FROM `{table}` "
+                        f"WHERE `{timestamp_col}` > %s "
+                        f"ORDER BY `{timestamp_col}` ASC "
+                        f"LIMIT %s OFFSET %s"
+                    )
+                    cursor.execute(query, (since_timestamp, batch_size, offset))
+                    rows = cursor.fetchall()
+
+                    if not rows:
+                        break
+
+                    yield rows
+                    offset += len(rows)
+
+            except pymysql.Error as e:
+                logger.error(f"Failed to fetch rows from {table}: {e}")
+                raise
+
+    def get_table_structure(self, table: str) -> Dict[str, Any]:
+        """Get table structure (column info).
+
+        Args:
+            table: Table name
+
+        Returns:
+            Dictionary with column information
+        """
+        try:
+            with self.connection.cursor() as cursor:
+                cursor.execute(f"DESCRIBE `{table}`")
+                columns = cursor.fetchall()
+                return {col["Field"]: col for col in columns}
+        except pymysql.Error as e:
+            logger.error(f"Failed to get structure for {table}: {e}")
+            raise

src/connectors/postgres_connector.py

@@ -0,0 +1,200 @@
+"""PostgreSQL database connector."""
+import psycopg
+from typing import List, Dict, Any, Optional, Iterator
+from psycopg import sql
+import json
+from config import get_settings
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class PostgreSQLConnector:
+    """Connector for PostgreSQL database."""
+
+    def __init__(self):
+        """Initialize PostgreSQL connector with settings."""
+        self.settings = get_settings()
+        self.connection = None
+
+    def connect(self) -> None:
+        """Establish connection to PostgreSQL database."""
+        try:
+            self.connection = psycopg.connect(
+                host=self.settings.postgres.host,
+                port=self.settings.postgres.port,
+                user=self.settings.postgres.user,
+                password=self.settings.postgres.password,
+                dbname=self.settings.postgres.database,
+                autocommit=False,
+            )
+            logger.info(
+                f"Connected to PostgreSQL: {self.settings.postgres.host}:"
+                f"{self.settings.postgres.port}/{self.settings.postgres.database}"
+            )
+        except psycopg.Error as e:
+            logger.error(f"Failed to connect to PostgreSQL: {e}")
+            raise
+
+    def disconnect(self) -> None:
+        """Close connection to PostgreSQL database."""
+        if self.connection:
+            self.connection.close()
+            logger.info("Disconnected from PostgreSQL")
+
+    def __enter__(self):
+        """Context manager entry."""
+        self.connect()
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        """Context manager exit."""
+        self.disconnect()
+
+    def execute(self, query: str, params: Optional[tuple] = None) -> None:
+        """Execute a query without returning results.
+
+        Args:
+            query: SQL query
+            params: Query parameters
+        """
+        try:
+            with self.connection.cursor() as cursor:
+                cursor.execute(query, params)
+                self.connection.commit()
+        except psycopg.Error as e:
+            self.connection.rollback()
+            logger.error(f"Query execution failed: {e}\nQuery: {query}")
+            raise
+
+    def execute_script(self, script: str) -> None:
+        """Execute multiple SQL statements (script).
+
+        Args:
+            script: SQL script with multiple statements
+        """
+        try:
+            with self.connection.cursor() as cursor:
+                cursor.execute(script)
+                self.connection.commit()
+            logger.debug("Script executed successfully")
+        except psycopg.Error as e:
+            self.connection.rollback()
+            logger.error(f"Script execution failed: {e}")
+            raise
+
+    def insert_batch(
+        self,
+        table: str,
+        rows: List[Dict[str, Any]],
+        columns: List[str]
+    ) -> int:
+        """Insert a batch of rows using COPY (fast bulk insert).
+
+        Args:
+            table: Table name
+            rows: List of row dictionaries
+            columns: Column names in order
+
+        Returns:
+            Number of rows inserted
+        """
+        if not rows:
+            return 0
+
+        try:
+            with self.connection.cursor() as cursor:
+                # Prepare COPY data
+                copy_data = []
+                for row in rows:
+                    values = []
+                    for col in columns:
+                        val = row.get(col)
+                        if val is None:
+                            values.append("\\N")  # NULL representation
+                        elif isinstance(val, (dict, list)):
+                            values.append(json.dumps(val))
+                        elif isinstance(val, str):
+                            # Escape special characters
+                            val = val.replace("\\", "\\\\").replace("\n", "\\n").replace("\t", "\\t")
+                            values.append(val)
+                        else:
+                            values.append(str(val))
+                    copy_data.append("\t".join(values))
+
+                # Use COPY for fast insert
+                copy_sql = f"COPY {table} ({','.join(columns)}) FROM STDIN"
+                cursor.copy(copy_sql, "\n".join(copy_data).encode())
+                self.connection.commit()
+
+                logger.debug(f"Inserted {len(rows)} rows into {table}")
+                return len(rows)
+
+        except psycopg.Error as e:
+            self.connection.rollback()
+            logger.error(f"Batch insert failed: {e}")
+            raise
+
+    def table_exists(self, table: str) -> bool:
+        """Check if a table exists.
+
+        Args:
+            table: Table name
+
+        Returns:
+            True if table exists, False otherwise
+        """
+        try:
+            with self.connection.cursor() as cursor:
+                cursor.execute(
+                    "SELECT EXISTS("
+                    "  SELECT 1 FROM information_schema.tables "
+                    "  WHERE table_name = %s"
+                    ")",
+                    (table,)
+                )
+                return cursor.fetchone()[0]
+        except psycopg.Error as e:
+            logger.error(f"Failed to check if table exists: {e}")
+            raise
+
+    def get_max_timestamp(
+        self,
+        table: str,
+        timestamp_col: str = "created_at"
+    ) -> Optional[str]:
+        """Get the maximum timestamp from a table.
+
+        Args:
+            table: Table name
+            timestamp_col: Timestamp column name
+
+        Returns:
+            ISO format timestamp or None if table is empty
+        """
+        try:
+            with self.connection.cursor() as cursor:
+                query = f"SELECT MAX({timestamp_col})::text FROM {table}"
+                cursor.execute(query)
+                result = cursor.fetchone()
+                return result[0] if result and result[0] else None
+        except psycopg.Error as e:
+            logger.error(f"Failed to get max timestamp: {e}")
+            raise
+
+    def get_row_count(self, table: str) -> int:
+        """Get row count for a table.
+
+        Args:
+            table: Table name
+
+        Returns:
+            Number of rows in the table
+        """
+        try:
+            with self.connection.cursor() as cursor:
+                cursor.execute(f"SELECT COUNT(*) FROM {table}")
+                return cursor.fetchone()[0]
+        except psycopg.Error as e:
+            logger.error(f"Failed to get row count: {e}")
+            raise

src/migrator/full_migration.py

@@ -0,0 +1,149 @@
+"""Full migration from MySQL to PostgreSQL."""
+from typing import Optional
+from datetime import datetime
+import json
+
+from config import get_settings, TABLE_CONFIGS
+from src.connectors.mysql_connector import MySQLConnector
+from src.connectors.postgres_connector import PostgreSQLConnector
+from src.transformers.data_transformer import DataTransformer
+from src.utils.logger import get_logger, setup_logger
+from src.utils.progress import ProgressTracker
+
+logger = get_logger(__name__)
+
+
+class FullMigrator:
+    """Perform full migration of a table from MySQL to PostgreSQL."""
+
+    def __init__(self, table: str):
+        """Initialize migrator for a table.
+
+        Args:
+            table: Table name to migrate ('RAWDATACOR' or 'ELABDATADISP')
+        """
+        if table not in TABLE_CONFIGS:
+            raise ValueError(f"Unknown table: {table}")
+
+        self.table = table
+        self.config = TABLE_CONFIGS[table]
+        self.settings = get_settings()
+
+    def migrate(self, dry_run: bool = False) -> int:
+        """Perform full migration of the table.
+
+        Args:
+            dry_run: If True, log what would be done but don't modify data
+
+        Returns:
+            Total number of rows migrated
+        """
+        setup_logger(__name__)
+
+        mysql_table = self.config["mysql_table"]
+        pg_table = self.config["postgres_table"]
+
+        logger.info(f"Starting full migration of {mysql_table} -> {pg_table}")
+
+        try:
+            with MySQLConnector() as mysql_conn:
+                # Get total row count
+                total_rows = mysql_conn.get_row_count(mysql_table)
+                logger.info(f"Total rows to migrate: {total_rows}")
+
+                if dry_run:
+                    logger.info("[DRY RUN] Would migrate all rows")
+                    return total_rows
+
+                with PostgreSQLConnector() as pg_conn:
+                    # Check if table exists
+                    if not pg_conn.table_exists(pg_table):
+                        raise ValueError(
+                            f"PostgreSQL table {pg_table} does not exist. "
+                            "Run 'setup --create-schema' first."
+                        )
+
+                    migrated = 0
+
+                    with ProgressTracker(
+                        total_rows,
+                        f"Migrating {mysql_table}"
+                    ) as progress:
+                        # Fetch and migrate rows in batches
+                        for batch in mysql_conn.fetch_all_rows(mysql_table):
+                            # Transform batch
+                            transformed = DataTransformer.transform_batch(
+                                mysql_table,
+                                batch
+                            )
+
+                            # Insert batch
+                            columns = DataTransformer.get_column_order(pg_table)
+                            inserted = pg_conn.insert_batch(
+                                pg_table,
+                                transformed,
+                                columns
+                            )
+
+                            migrated += inserted
+                            progress.update(inserted)
+
+                    logger.info(
+                        f"✓ Migration complete: {migrated} rows migrated "
+                        f"to {pg_table}"
+                    )
+
+                    # Update migration state
+                    self._update_migration_state(pg_conn, migrated)
+
+                    return migrated
+
+        except Exception as e:
+            logger.error(f"Migration failed: {e}")
+            raise
+
+    def _update_migration_state(
+        self,
+        pg_conn: PostgreSQLConnector,
+        rows_migrated: int
+    ) -> None:
+        """Update migration state tracking table.
+
+        Args:
+            pg_conn: PostgreSQL connection
+            rows_migrated: Number of rows migrated
+        """
+        try:
+            pg_table = self.config["postgres_table"]
+            query = f"""
+                INSERT INTO migration_state
+                (table_name, last_migrated_timestamp, total_rows_migrated, migration_completed_at, status)
+                VALUES (%s, %s, %s, %s, %s)
+                ON CONFLICT (table_name) DO UPDATE SET
+                    last_migrated_timestamp = EXCLUDED.last_migrated_timestamp,
+                    total_rows_migrated = EXCLUDED.total_rows_migrated,
+                    migration_completed_at = EXCLUDED.migration_completed_at,
+                    status = EXCLUDED.status
+            """
+            now = datetime.utcnow()
+            pg_conn.execute(query, (pg_table, now, rows_migrated, now, "completed"))
+            logger.debug("Migration state updated")
+        except Exception as e:
+            logger.warning(f"Failed to update migration state: {e}")
+
+
+def run_full_migration(
+    table: str,
+    dry_run: bool = False
+) -> int:
+    """Run full migration for a table.
+
+    Args:
+        table: Table name to migrate
+        dry_run: If True, show what would be done without modifying data
+
+    Returns:
+        Number of rows migrated
+    """
+    migrator = FullMigrator(table)
+    return migrator.migrate(dry_run=dry_run)

src/migrator/incremental_migration.py

@@ -0,0 +1,155 @@
+"""Incremental migration from MySQL to PostgreSQL based on timestamps."""
+from datetime import datetime
+from typing import Optional
+
+from config import get_settings, TABLE_CONFIGS
+from src.connectors.mysql_connector import MySQLConnector
+from src.connectors.postgres_connector import PostgreSQLConnector
+from src.transformers.data_transformer import DataTransformer
+from src.utils.logger import get_logger, setup_logger
+from src.utils.progress import ProgressTracker
+from src.migrator.state import MigrationState
+
+logger = get_logger(__name__)
+
+
+class IncrementalMigrator:
+    """Perform incremental migration based on timestamps."""
+
+    def __init__(self, table: str, state_file: str = "migration_state.json"):
+        """Initialize incremental migrator.
+
+        Args:
+            table: Table name to migrate
+            state_file: Path to migration state file
+        """
+        if table not in TABLE_CONFIGS:
+            raise ValueError(f"Unknown table: {table}")
+
+        self.table = table
+        self.config = TABLE_CONFIGS[table]
+        self.settings = get_settings()
+        self.state = MigrationState(state_file)
+
+    def migrate(self, dry_run: bool = False) -> int:
+        """Perform incremental migration since last sync.
+
+        Args:
+            dry_run: If True, log what would be done but don't modify data
+
+        Returns:
+            Number of rows migrated
+        """
+        setup_logger(__name__)
+
+        mysql_table = self.config["mysql_table"]
+        pg_table = self.config["postgres_table"]
+
+        # Get last migration timestamp
+        last_timestamp = self.state.get_last_timestamp(pg_table)
+
+        if last_timestamp is None:
+            logger.info(
+                f"No previous migration found for {pg_table}. "
+                "Use 'migrate --full' for initial migration."
+            )
+            return 0
+
+        logger.info(
+            f"Starting incremental migration of {mysql_table} -> {pg_table} "
+            f"since {last_timestamp}"
+        )
+
+        try:
+            with MySQLConnector() as mysql_conn:
+                # Count rows to migrate
+                timestamp_col = "updated_at" if mysql_table == "ELABDATADISP" else "created_at"
+
+                with PostgreSQLConnector() as pg_conn:
+                    # Get max timestamp from PostgreSQL
+                    pg_max_timestamp = pg_conn.get_max_timestamp(
+                        pg_table,
+                        timestamp_col
+                    )
+
+                    logger.info(f"Last timestamp in PostgreSQL: {pg_max_timestamp}")
+
+                    if dry_run:
+                        logger.info("[DRY RUN] Would migrate rows after timestamp")
+                        return 0
+
+                    migrated = 0
+                    migration_start_time = datetime.utcnow().isoformat()
+
+                    # Fetch and migrate rows in batches
+                    batch_count = 0
+                    for batch in mysql_conn.fetch_rows_since(
+                        mysql_table,
+                        last_timestamp
+                    ):
+                        batch_count += 1
+
+                        if batch_count == 1:
+                            # Create progress tracker with unknown total
+                            progress = ProgressTracker(
+                                len(batch),
+                                f"Migrating {mysql_table} (incremental)"
+                            )
+                            progress.__enter__()
+
+                        # Transform batch
+                        transformed = DataTransformer.transform_batch(
+                            mysql_table,
+                            batch
+                        )
+
+                        # Insert batch
+                        columns = DataTransformer.get_column_order(pg_table)
+                        inserted = pg_conn.insert_batch(
+                            pg_table,
+                            transformed,
+                            columns
+                        )
+
+                        migrated += inserted
+                        progress.update(inserted)
+
+                    if batch_count == 0:
+                        logger.info(f"No new rows to migrate for {mysql_table}")
+                        return 0
+
+                    progress.__exit__(None, None, None)
+
+                    # Update migration state
+                    self.state.set_last_timestamp(pg_table, migration_start_time)
+                    self.state.increment_migration_count(pg_table, migrated)
+
+                    logger.info(
+                        f"✓ Incremental migration complete: {migrated} rows migrated "
+                        f"to {pg_table}"
+                    )
+
+                    return migrated
+
+        except Exception as e:
+            logger.error(f"Incremental migration failed: {e}")
+            raise
+
+
+def run_incremental_migration(
+    table: str,
+    dry_run: bool = False,
+    state_file: str = "migration_state.json"
+) -> int:
+    """Run incremental migration for a table.
+
+    Args:
+        table: Table name to migrate
+        dry_run: If True, show what would be done without modifying data
+        state_file: Path to migration state file
+
+    Returns:
+        Number of rows migrated
+    """
+    migrator = IncrementalMigrator(table, state_file)
+    return migrator.migrate(dry_run=dry_run)

src/migrator/state.py

@@ -0,0 +1,105 @@
+"""Migration state management."""
+import json
+from pathlib import Path
+from datetime import datetime
+from typing import Optional, Dict, Any
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class MigrationState:
+    """Manage migration state for incremental migrations."""
+
+    DEFAULT_STATE_FILE = "migration_state.json"
+
+    def __init__(self, state_file: str = DEFAULT_STATE_FILE):
+        """Initialize migration state.
+
+        Args:
+            state_file: Path to state file
+        """
+        self.state_file = Path(state_file)
+        self.state = self._load_state()
+
+    def _load_state(self) -> Dict[str, Any]:
+        """Load state from file."""
+        if self.state_file.exists():
+            try:
+                with open(self.state_file, "r") as f:
+                    return json.load(f)
+            except Exception as e:
+                logger.warning(f"Failed to load state file: {e}")
+                return {}
+        return {}
+
+    def _save_state(self) -> None:
+        """Save state to file."""
+        try:
+            with open(self.state_file, "w") as f:
+                json.dump(self.state, f, indent=2)
+        except Exception as e:
+            logger.error(f"Failed to save state file: {e}")
+            raise
+
+    def get_last_timestamp(self, table: str) -> Optional[str]:
+        """Get last migration timestamp for a table.
+
+        Args:
+            table: Table name
+
+        Returns:
+            ISO format timestamp or None if not found
+        """
+        return self.state.get(table, {}).get("last_timestamp")
+
+    def set_last_timestamp(self, table: str, timestamp: str) -> None:
+        """Set last migration timestamp for a table.
+
+        Args:
+            table: Table name
+            timestamp: ISO format timestamp
+        """
+        if table not in self.state:
+            self.state[table] = {}
+
+        self.state[table]["last_timestamp"] = timestamp
+        self.state[table]["last_updated"] = datetime.utcnow().isoformat()
+        self._save_state()
+
+    def get_migration_count(self, table: str) -> int:
+        """Get total migration count for a table.
+
+        Args:
+            table: Table name
+
+        Returns:
+            Total rows migrated
+        """
+        return self.state.get(table, {}).get("total_migrated", 0)
+
+    def increment_migration_count(self, table: str, count: int) -> None:
+        """Increment migration count for a table.
+
+        Args:
+            table: Table name
+            count: Number of rows to add
+        """
+        if table not in self.state:
+            self.state[table] = {}
+
+        current = self.state[table].get("total_migrated", 0)
+        self.state[table]["total_migrated"] = current + count
+        self._save_state()
+
+    def reset(self, table: Optional[str] = None) -> None:
+        """Reset migration state.
+
+        Args:
+            table: Table name to reset, or None to reset all
+        """
+        if table:
+            self.state[table] = {}
+        else:
+            self.state = {}
+        self._save_state()

src/transformers/data_transformer.py

@@ -0,0 +1,178 @@
+"""Data transformation from MySQL to PostgreSQL format."""
+from typing import Dict, Any, List
+from datetime import datetime
+from config import (
+    RAWDATACOR_COLUMNS,
+    ELABDATADISP_FIELD_MAPPING,
+    TABLE_CONFIGS,
+)
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class DataTransformer:
+    """Transform MySQL data to PostgreSQL format."""
+
+    @staticmethod
+    def transform_rawdatacor_row(mysql_row: Dict[str, Any]) -> Dict[str, Any]:
+        """Transform a RAWDATACOR row from MySQL to PostgreSQL format.
+
+        Args:
+            mysql_row: Row dictionary from MySQL
+
+        Returns:
+            Transformed row dictionary for PostgreSQL
+        """
+        # Create measurements JSONB
+        measurements = {}
+
+        # Map Val0-ValF with their units
+        for i, val_col in enumerate(RAWDATACOR_COLUMNS["val_columns"]):
+            unit_col = RAWDATACOR_COLUMNS["unit_columns"][i]
+
+            value = mysql_row.get(val_col)
+            unit = mysql_row.get(unit_col)
+
+            # Only add to JSONB if value is not None
+            if value is not None:
+                measurements[str(i)] = {
+                    "value": str(value),
+                    "unit": unit if unit else None,
+                }
+
+        # Create PostgreSQL row
+        pg_row = {
+            "id": mysql_row["id"],
+            "unit_name": mysql_row.get("UnitName"),
+            "tool_name_id": mysql_row["ToolNameID"],
+            "node_num": mysql_row["NodeNum"],
+            "event_date": mysql_row["EventDate"],
+            "event_time": mysql_row["EventTime"],
+            "bat_level": mysql_row["BatLevel"],
+            "temperature": mysql_row["Temperature"],
+            "measurements": measurements,
+            "created_at": mysql_row.get("created_at"),
+            "bat_level_module": mysql_row.get("BatLevelModule"),
+            "temperature_module": mysql_row.get("TemperatureModule"),
+            "rssi_module": mysql_row.get("RssiModule"),
+        }
+
+        return pg_row
+
+    @staticmethod
+    def transform_elabdatadisp_row(mysql_row: Dict[str, Any]) -> Dict[str, Any]:
+        """Transform an ELABDATADISP row from MySQL to PostgreSQL format.
+
+        Args:
+            mysql_row: Row dictionary from MySQL
+
+        Returns:
+            Transformed row dictionary for PostgreSQL
+        """
+        # Create measurements JSONB with structured categories
+        measurements = {
+            "shifts": {},
+            "coordinates": {},
+            "kinematics": {},
+            "sensors": {},
+            "calculated": {},
+        }
+
+        # Map all measurement fields using the configuration
+        for mysql_col, (category, pg_key) in ELABDATADISP_FIELD_MAPPING.items():
+            value = mysql_row.get(mysql_col)
+            if value is not None:
+                measurements[category][pg_key] = float(value) if isinstance(value, str) else value
+
+        # Remove empty categories
+        measurements = {
+            k: v for k, v in measurements.items() if v
+        }
+
+        # Create PostgreSQL row
+        pg_row = {
+            "id_elab_data": mysql_row["idElabData"],
+            "unit_name": mysql_row.get("UnitName"),
+            "tool_name_id": mysql_row["ToolNameID"],
+            "node_num": mysql_row["NodeNum"],
+            "event_date": mysql_row["EventDate"],
+            "event_time": mysql_row["EventTime"],
+            "state": mysql_row.get("State"),
+            "calc_err": mysql_row.get("calcerr", 0),
+            "measurements": measurements,
+            "created_at": mysql_row.get("created_at"),
+            "updated_at": mysql_row.get("updated_at"),
+        }
+
+        return pg_row
+
+    @staticmethod
+    def transform_batch(
+        table: str,
+        rows: List[Dict[str, Any]]
+    ) -> List[Dict[str, Any]]:
+        """Transform a batch of rows from MySQL to PostgreSQL format.
+
+        Args:
+            table: Table name ('RAWDATACOR' or 'ELABDATADISP')
+            rows: List of row dictionaries from MySQL
+
+        Returns:
+            List of transformed row dictionaries for PostgreSQL
+        """
+        if table == "RAWDATACOR":
+            return [
+                DataTransformer.transform_rawdatacor_row(row)
+                for row in rows
+            ]
+        elif table == "ELABDATADISP":
+            return [
+                DataTransformer.transform_elabdatadisp_row(row)
+                for row in rows
+            ]
+        else:
+            raise ValueError(f"Unknown table: {table}")
+
+    @staticmethod
+    def get_column_order(table: str) -> List[str]:
+        """Get the column order for inserting into PostgreSQL.
+
+        Args:
+            table: PostgreSQL table name
+
+        Returns:
+            List of column names in order
+        """
+        if table == "rawdatacor":
+            return [
+                "id",
+                "unit_name",
+                "tool_name_id",
+                "node_num",
+                "event_date",
+                "event_time",
+                "bat_level",
+                "temperature",
+                "measurements",
+                "created_at",
+                "bat_level_module",
+                "temperature_module",
+                "rssi_module",
+            ]
+        elif table == "elabdatadisp":
+            return [
+                "id_elab_data",
+                "unit_name",
+                "tool_name_id",
+                "node_num",
+                "event_date",
+                "event_time",
+                "state",
+                "calc_err",
+                "measurements",
+                "created_at",
+                "updated_at",
+            ]
+        else:
+            raise ValueError(f"Unknown table: {table}")

src/transformers/schema_transformer.py

@@ -0,0 +1,149 @@
+"""PostgreSQL schema creation from MySQL structure."""
+from config import PARTITION_YEARS
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+def create_rawdatacor_schema() -> str:
+    """Create PostgreSQL schema for RAWDATACOR table.
+
+    Returns:
+        SQL script to create the table with partitions
+    """
+    sql = """
+-- Create RAWDATACOR table with partitioning
+CREATE TABLE IF NOT EXISTS rawdatacor (
+    id BIGSERIAL NOT NULL,
+    unit_name VARCHAR(32),
+    tool_name_id VARCHAR(32) NOT NULL,
+    node_num INTEGER NOT NULL,
+    event_date DATE NOT NULL,
+    event_time TIME NOT NULL,
+    bat_level NUMERIC(4,2) NOT NULL,
+    temperature NUMERIC(5,2) NOT NULL,
+    measurements JSONB,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    bat_level_module NUMERIC(4,2),
+    temperature_module NUMERIC(5,2),
+    rssi_module INTEGER,
+    PRIMARY KEY (id, event_date)
+) PARTITION BY RANGE (EXTRACT(YEAR FROM event_date));
+
+-- Create partitions for each year
+"""
+    # Add partition creation statements
+    for year in PARTITION_YEARS:
+        next_year = year + 1
+        sql += f"""
+CREATE TABLE IF NOT EXISTS rawdatacor_{year}
+    PARTITION OF rawdatacor
+    FOR VALUES FROM ({year}) TO ({next_year});
+"""
+
+    # Add indexes
+    sql += """
+-- Create indexes
+CREATE INDEX IF NOT EXISTS idx_unit_tool_node_datetime_raw
+    ON rawdatacor(unit_name, tool_name_id, node_num, event_date, event_time);
+
+CREATE INDEX IF NOT EXISTS idx_unit_tool_raw
+    ON rawdatacor(unit_name, tool_name_id);
+
+CREATE INDEX IF NOT EXISTS idx_measurements_gin_raw
+    ON rawdatacor USING GIN (measurements);
+
+CREATE INDEX IF NOT EXISTS idx_event_date_raw
+    ON rawdatacor(event_date);
+"""
+
+    return sql
+
+
+def create_elabdatadisp_schema() -> str:
+    """Create PostgreSQL schema for ELABDATADISP table.
+
+    Returns:
+        SQL script to create the table with partitions
+    """
+    sql = """
+-- Create ELABDATADISP table with partitioning
+CREATE TABLE IF NOT EXISTS elabdatadisp (
+    id_elab_data BIGSERIAL NOT NULL,
+    unit_name VARCHAR(32),
+    tool_name_id VARCHAR(32) NOT NULL,
+    node_num INTEGER NOT NULL,
+    event_date DATE NOT NULL,
+    event_time TIME NOT NULL,
+    state VARCHAR(32),
+    calc_err INTEGER DEFAULT 0,
+    measurements JSONB,
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    PRIMARY KEY (id_elab_data, event_date)
+) PARTITION BY RANGE (EXTRACT(YEAR FROM event_date));
+
+-- Create partitions for each year
+"""
+    # Add partition creation statements
+    for year in PARTITION_YEARS:
+        next_year = year + 1
+        sql += f"""
+CREATE TABLE IF NOT EXISTS elabdatadisp_{year}
+    PARTITION OF elabdatadisp
+    FOR VALUES FROM ({year}) TO ({next_year});
+"""
+
+    # Add indexes
+    sql += """
+-- Create indexes
+CREATE INDEX IF NOT EXISTS idx_unit_tool_node_datetime_elab
+    ON elabdatadisp(unit_name, tool_name_id, node_num, event_date, event_time);
+
+CREATE INDEX IF NOT EXISTS idx_unit_tool_elab
+    ON elabdatadisp(unit_name, tool_name_id);
+
+CREATE INDEX IF NOT EXISTS idx_measurements_gin_elab
+    ON elabdatadisp USING GIN (measurements);
+
+CREATE INDEX IF NOT EXISTS idx_event_date_elab
+    ON elabdatadisp(event_date);
+"""
+
+    return sql
+
+
+def create_migration_state_table() -> str:
+    """Create table to track migration state.
+
+    Returns:
+        SQL to create migration_state table
+    """
+    sql = """
+-- Create table to track migration state
+CREATE TABLE IF NOT EXISTS migration_state (
+    table_name VARCHAR(255) PRIMARY KEY,
+    last_migrated_timestamp TIMESTAMP,
+    last_migrated_id BIGINT,
+    migration_started_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    migration_completed_at TIMESTAMP,
+    total_rows_migrated BIGINT DEFAULT 0,
+    status VARCHAR(32) DEFAULT 'pending'
+);
+"""
+    return sql
+
+
+def get_full_schema_script() -> str:
+    """Get complete schema creation script for PostgreSQL.
+
+    Returns:
+        Full SQL script to create all tables and indexes
+    """
+    return (
+        create_rawdatacor_schema() +
+        "\n\n" +
+        create_elabdatadisp_schema() +
+        "\n\n" +
+        create_migration_state_table()
+    )

src/utils/logger.py

@@ -0,0 +1,42 @@
+"""Logging utility with Rich integration."""
+import logging
+import sys
+from pathlib import Path
+from rich.logging import RichHandler
+from rich.console import Console
+from config import get_settings
+
+
+def setup_logger(name: str) -> logging.Logger:
+    """Set up a logger with Rich handler."""
+    settings = get_settings()
+
+    logger = logging.getLogger(name)
+    logger.setLevel(getattr(logging, settings.migration.log_level))
+
+    # Remove existing handlers
+    logger.handlers.clear()
+
+    # Create console handler with Rich
+    handler = RichHandler(
+        console=Console(file=sys.stderr),
+        show_time=True,
+        show_level=True,
+        show_path=False,
+    )
+    handler.setLevel(getattr(logging, settings.migration.log_level))
+
+    # Create formatter
+    formatter = logging.Formatter(
+        "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+    )
+    handler.setFormatter(formatter)
+
+    logger.addHandler(handler)
+
+    return logger
+
+
+def get_logger(name: str) -> logging.Logger:
+    """Get or create a logger."""
+    return logging.getLogger(name)

src/utils/progress.py

@@ -0,0 +1,73 @@
+"""Progress tracking utility."""
+from rich.progress import (
+    Progress,
+    SpinnerColumn,
+    BarColumn,
+    TaskProgressColumn,
+    TimeRemainingColumn,
+    TimeElapsedColumn,
+    TransferSpeedColumn,
+)
+from rich.console import Console
+import time
+
+
+class ProgressTracker:
+    """Track migration progress with Rich progress bar."""
+
+    def __init__(self, total: int, description: str = "Migrating"):
+        """Initialize progress tracker.
+
+        Args:
+            total: Total number of items to process
+            description: Description of the task
+        """
+        self.total = total
+        self.description = description
+        self.progress = Progress(
+            SpinnerColumn(),
+            BarColumn(),
+            TaskProgressColumn(),
+            TimeElapsedColumn(),
+            TimeRemainingColumn(),
+            TransferSpeedColumn(),
+            console=Console(),
+        )
+        self.task_id = None
+        self.start_time = None
+        self.processed = 0
+
+    def __enter__(self):
+        """Context manager entry."""
+        self.progress.start()
+        self.task_id = self.progress.add_task(
+            self.description, total=self.total
+        )
+        self.start_time = time.time()
+        return self
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        """Context manager exit."""
+        self.progress.stop()
+        if exc_type is None:
+            elapsed = time.time() - self.start_time
+            rate = self.processed / elapsed if elapsed > 0 else 0
+            self.progress.console.print(
+                f"[green]✓ Completed: {self.processed}/{self.total} items "
+                f"in {elapsed:.2f}s ({rate:.0f} items/sec)[/green]"
+            )
+
+    def update(self, advance: int = 1):
+        """Update progress.
+
+        Args:
+            advance: Number of items processed
+        """
+        if self.task_id is not None:
+            self.progress.update(self.task_id, advance=advance)
+            self.processed += advance
+
+    def print_status(self, message: str):
+        """Print a status message without interrupting progress bar."""
+        if self.task_id is not None:
+            self.progress.print(message)