fix incremental

config.py

@@ -52,6 +52,7 @@ class MigrationSettings(BaseSettings):
     consolidation_group_limit: int = 10000
     log_level: str = "INFO"
     dry_run: bool = False
+    progress_log_interval: int = 50000
 
 
 class BenchmarkSettings(BaseSettings):
@@ -152,20 +153,32 @@ ELABDATADISP_FIELD_MAPPING = {
 # PostgreSQL Partition years (from both tables)
 PARTITION_YEARS = list(range(2014, 2032))  # 2014-2031
 
+# Consolidation key definition (same for both tables)
+# Multiple MySQL rows with same key but different NodeNum → 1 PostgreSQL row
+# MySQL source fields
+CONSOLIDATION_KEY_FIELDS = ["UnitName", "ToolNameID", "EventDate", "EventTime"]
+# Keys for tracking in migration_state.last_key (NOT actual PostgreSQL target columns)
+# Note: In PostgreSQL target, EventDate+EventTime become event_timestamp
+CONSOLIDATION_KEY_PG_FIELDS = ["unit_name", "tool_name_id", "event_date", "event_time"]
+
 # Table configurations - support both uppercase and lowercase keys
 _rawdatacor_config = {
     "mysql_table": "RAWDATACOR",
     "postgres_table": "rawdatacor",
-    "primary_key": "id",
+    "mysql_pk": "id",  # MySQL primary key
-    "postgres_pk": "id",  # Primary key column name in PostgreSQL
+    "postgres_pk": "id",  # PostgreSQL auto-increment primary key
-    "partition_key": "event_timestamp",
+    "mysql_max_id_field": "id",  # Field to track max ID from MySQL
+    "consolidation_key": CONSOLIDATION_KEY_FIELDS,
+    "consolidation_key_pg": CONSOLIDATION_KEY_PG_FIELDS,
 }
 _elabdatadisp_config = {
     "mysql_table": "ELABDATADISP",
     "postgres_table": "elabdatadisp",
-    "primary_key": "idElabData",
+    "mysql_pk": "idElabData",  # MySQL primary key
-    "postgres_pk": "id_elab_data",  # Primary key column name in PostgreSQL
+    "postgres_pk": "id",  # PostgreSQL auto-increment primary key
-    "partition_key": "event_timestamp",
+    "mysql_max_id_field": "idElabData",  # Field to track max ID from MySQL
+    "consolidation_key": CONSOLIDATION_KEY_FIELDS,
+    "consolidation_key_pg": CONSOLIDATION_KEY_PG_FIELDS,
 }
 
 TABLE_CONFIGS = {

main.py

@@ -6,8 +6,9 @@ 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.full_migrator import run_full_migration
-from src.migrator.incremental_migration import run_incremental_migration
+from src.migrator.incremental_migrator import run_incremental_migration
+from src.migrator.parallel_migrator import run_parallel_migration
 from src.benchmark.performance_test import run_benchmark
 from src.connectors.postgres_connector import PostgreSQLConnector
 
@@ -80,18 +81,36 @@ def migrate():
     default=None,
     help="Only migrate this partition (for testing/debugging)"
 )
-def full(table, dry_run, resume, partition):
+@click.option(
+    "--parallel",
+    type=int,
+    default=None,
+    help="Number of parallel workers (e.g., --parallel 5 for 5 workers)"
+)
+def full(table, dry_run, resume, partition, parallel):
     """Perform full migration of all data."""
     setup_logger(__name__)
 
     tables = ["RAWDATACOR", "ELABDATADISP"] if table == "all" else [table]
 
+    # Validate options
+    if parallel and partition:
+        click.echo("✗ Cannot use --parallel with --partition", err=True)
+        sys.exit(1)
+
     try:
         total_migrated = 0
 
         for tbl in tables:
-            click.echo(f"\nMigrating {tbl}" + (f" (partition {partition})" if partition else "") + "...")
+            if parallel:
-            migrated = run_full_migration(tbl, dry_run=dry_run, resume=resume, partition=partition)
+                # Parallel migration mode
+                click.echo(f"\nMigrating {tbl} with {parallel} parallel workers...")
+                migrated = run_parallel_migration(tbl, num_workers=parallel, dry_run=dry_run, resume=resume)
+            else:
+                # Sequential migration mode
+                click.echo(f"\nMigrating {tbl}" + (f" (partition {partition})" if partition else "") + "...")
+                migrated = run_full_migration(tbl, dry_run=dry_run, resume=resume, partition=partition)
+
             total_migrated += migrated
             click.echo(f"✓ {tbl}: {migrated} rows migrated")
 
@@ -115,14 +134,9 @@ def full(table, dry_run, resume, partition):
     is_flag=True,
     help="Show what would be done without modifying data"
 )
-@click.option(
+def incremental(table, dry_run):
-    "--state-file",
+    """Perform incremental migration since last sync (based on consolidation keys)."""
-    default="migration_state.json",
+    setup_logger("")  # Set up root logger so all child loggers work
-    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]
 
@@ -131,7 +145,7 @@ def incremental(table, dry_run, state_file):
 
         for tbl in tables:
             click.echo(f"\nIncremental migration for {tbl}...")
-            migrated = run_incremental_migration(tbl, dry_run=dry_run, state_file=state_file)
+            migrated = run_incremental_migration(tbl, dry_run=dry_run)
             total_migrated += migrated
             if migrated > 0:
                 click.echo(f"✓ {tbl}: {migrated} rows migrated")
@@ -196,6 +210,7 @@ def info():
 
     click.echo("\n[Migration Settings]")
     click.echo(f"  Batch Size: {settings.migration.batch_size}")
+    click.echo(f"  Consolidation Group Limit: {settings.migration.consolidation_group_limit}")
     click.echo(f"  Log Level: {settings.migration.log_level}")
     click.echo(f"  Dry Run: {settings.migration.dry_run}")
 

src/connectors/mysql_connector.py

@@ -1,6 +1,6 @@
 """MySQL database connector."""
 import pymysql
-from typing import List, Dict, Any, Optional, Generator
+from typing import List, Dict, Any, Optional, Generator, Iterator
 from config import get_settings
 from src.utils.logger import get_logger
 
@@ -10,6 +10,8 @@ logger = get_logger(__name__)
 class MySQLConnector:
     """Connector for MySQL database."""
 
+    MAX_RETRIES = 3  # Number of retries for transient connection errors
+
     def __init__(self):
         """Initialize MySQL connector with settings."""
         self.settings = get_settings()
@@ -38,6 +40,16 @@ class MySQLConnector:
             logger.error(f"Failed to connect to MySQL: {e}")
             raise
 
+    def _reconnect(self) -> None:
+        """Reconnect to MySQL database after connection loss."""
+        try:
+            self.disconnect()
+            self.connect()
+            logger.info("Successfully reconnected to MySQL")
+        except Exception as e:
+            logger.error(f"Failed to reconnect to MySQL: {e}")
+            raise
+
     def disconnect(self) -> None:
         """Close connection to MySQL database."""
         if self.connection:
@@ -62,14 +74,21 @@ class MySQLConnector:
         Returns:
             Number of rows in the table
         """
-        try:
+        retries = 0
-            with self.connection.cursor() as cursor:
+        while retries < self.MAX_RETRIES:
-                cursor.execute(f"SELECT COUNT(*) as count FROM `{table}`")
+            try:
-                result = cursor.fetchone()
+                with self.connection.cursor() as cursor:
-                return result["count"]
+                    cursor.execute(f"SELECT COUNT(*) as count FROM `{table}`")
-        except pymysql.Error as e:
+                    result = cursor.fetchone()
-            logger.error(f"Failed to get row count for {table}: {e}")
+                    return result["count"]
-            raise
+            except pymysql.Error as e:
+                retries += 1
+                if retries >= self.MAX_RETRIES:
+                    logger.error(f"Failed to get row count for {table} after {self.MAX_RETRIES} retries: {e}")
+                    raise
+                else:
+                    logger.warning(f"Get row count failed (retry {retries}/{self.MAX_RETRIES}): {e}")
+                    self._reconnect()
 
     def fetch_rows_since(
         self,
@@ -195,19 +214,26 @@ class MySQLConnector:
         Returns:
             List of partition names
         """
-        try:
+        retries = 0
-            with self.connection.cursor() as cursor:
+        while retries < self.MAX_RETRIES:
-                cursor.execute("""
+            try:
-                    SELECT PARTITION_NAME
+                with self.connection.cursor() as cursor:
-                    FROM INFORMATION_SCHEMA.PARTITIONS
+                    cursor.execute("""
-                    WHERE TABLE_NAME = %s
+                        SELECT PARTITION_NAME
-                      AND TABLE_SCHEMA = %s
+                        FROM INFORMATION_SCHEMA.PARTITIONS
-                    ORDER BY PARTITION_NAME
+                        WHERE TABLE_NAME = %s
-                """, (table, self.settings.mysql.database))
+                          AND TABLE_SCHEMA = %s
-                return [row["PARTITION_NAME"] for row in cursor.fetchall()]
+                        ORDER BY PARTITION_NAME
-        except pymysql.Error as e:
+                    """, (table, self.settings.mysql.database))
-            logger.error(f"Failed to get partitions for {table}: {e}")
+                    return [row["PARTITION_NAME"] for row in cursor.fetchall()]
-            raise
+            except pymysql.Error as e:
+                retries += 1
+                if retries >= self.MAX_RETRIES:
+                    logger.error(f"Failed to get partitions for {table} after {self.MAX_RETRIES} retries: {e}")
+                    raise
+                else:
+                    logger.warning(f"Get table partitions failed (retry {retries}/{self.MAX_RETRIES}): {e}")
+                    self._reconnect()
 
     def fetch_consolidation_groups_from_partition(
         self,
@@ -215,7 +241,8 @@ class MySQLConnector:
         partition: str,
         limit: Optional[int] = None,
         offset: int = 0,
-        start_id: Optional[int] = None
+        start_id: Optional[int] = None,
+        start_key: Optional[tuple] = None
     ) -> Generator[List[Dict[str, Any]], None, None]:
         """Fetch consolidation groups from a partition.
 
@@ -231,6 +258,8 @@ class MySQLConnector:
             limit: Batch size for consolidation (uses config default if None)
             offset: Starting offset for pagination (unused, kept for compatibility)
             start_id: Resume from this ID (fetch id > start_id). If None, starts from beginning
+            start_key: Resume AFTER this consolidation key (unit_name, tool_name_id, event_date, event_time).
+                      If provided, skips all keys <= start_key in MySQL query (efficient resume).
 
         Yields:
             Lists of rows grouped by consolidation key (complete groups only)
@@ -243,8 +272,9 @@ class MySQLConnector:
 
         # Determine ID column name
         id_column = "idElabData" if table == "ELABDATADISP" else "id"
-        max_retries = 3
+
-        last_completed_key = None  # Last key we fully yielded (not incomplete)
+        # Initialize last_completed_key with start_key for efficient resume
+        last_completed_key = start_key if start_key else None
 
         # CRITICAL: These must be OUTSIDE the while loop to persist across batch iterations
         # If they're inside the loop, buffered incomplete groups from previous batches get lost
@@ -253,7 +283,7 @@ class MySQLConnector:
 
         while True:
             retries = 0
-            while retries < max_retries:
+            while retries < self.MAX_RETRIES:
                 try:
                     with self.connection.cursor() as cursor:
                         # ORDER BY consolidation key
@@ -330,15 +360,391 @@ class MySQLConnector:
 
                 except pymysql.Error as e:
                     retries += 1
-                    if retries >= max_retries:
+                    if retries >= self.MAX_RETRIES:
-                        logger.error(f"Failed to fetch consolidation groups from {table} partition {partition} after {max_retries} retries: {e}")
+                        logger.error(f"Failed to fetch consolidation groups from {table} partition {partition} after {self.MAX_RETRIES} retries: {e}")
                         raise
                     else:
-                        logger.warning(f"Fetch failed (retry {retries}/{max_retries}): {e}")
+                        logger.warning(f"Fetch consolidation groups failed (retry {retries}/{self.MAX_RETRIES}): {e}")
-                        # Reconnect and retry
+                        self._reconnect()
-                        try:
+
-                            self.disconnect()
+    def stream_partition_rows(
-                            self.connect()
+        self,
-                        except Exception as reconnect_error:
+        table: str,
-                            logger.error(f"Failed to reconnect: {reconnect_error}")
+        partition: str,
-                            raise
+        batch_size: int = 10000,
+        resume_from_key: Optional[Dict[str, Any]] = None
+    ) -> Iterator[Dict[str, Any]]:
+        """Stream all rows from a partition ordered by consolidation key.
+
+        This eliminates the N+1 query pattern by fetching all data in a single
+        streaming query ordered by consolidation key. Rows are yielded one at a time.
+
+        Query pattern:
+            SELECT *
+            FROM table PARTITION (partition)
+            WHERE (UnitName, ToolNameID, EventDate, EventTime) > (?, ?, ?, ?)  -- if resuming
+            ORDER BY UnitName, ToolNameID, EventDate, EventTime, NodeNum
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+            partition: Partition name (e.g., 'p2024')
+            batch_size: Number of rows to fetch at a time from server
+            resume_from_key: Last processed key to resume from (optional)
+                Format: {"unit_name": ..., "tool_name_id": ..., "event_date": ..., "event_time": ...}
+
+        Yields:
+            MySQL row dicts, ordered by consolidation key then NodeNum
+        """
+        if table not in ("RAWDATACOR", "ELABDATADISP"):
+            raise ValueError(f"Consolidation not supported for table {table}")
+
+        retries = 0
+        while retries < self.MAX_RETRIES:
+            try:
+                # Use regular DictCursor (client-side) to avoid filling /tmp on MySQL server
+                # SSCursor creates temp files on MySQL server which can fill /tmp
+                with self.connection.cursor() as cursor:
+                    # Build WHERE clause for resume
+                    where_clause = ""
+                    params = []
+
+                    if resume_from_key:
+                        # Resume from last key using tuple comparison
+                        where_clause = """
+                            WHERE (UnitName, ToolNameID, EventDate, EventTime) > (%s, %s, %s, %s)
+                        """
+                        params = [
+                            resume_from_key.get("unit_name"),
+                            resume_from_key.get("tool_name_id"),
+                            resume_from_key.get("event_date"),
+                            resume_from_key.get("event_time"),
+                        ]
+
+                    query = f"""
+                        SELECT *
+                        FROM `{table}` PARTITION (`{partition}`)
+                        {where_clause}
+                        ORDER BY UnitName, ToolNameID, EventDate, EventTime, NodeNum
+                    """
+
+                    logger.info(
+                        f"Starting stream from {table} partition {partition}"
+                        + (f" (resuming from key)" if resume_from_key else "")
+                    )
+
+                    cursor.execute(query, tuple(params) if params else None)
+
+                    # Fetch all rows (client-side cursor fetches to local memory)
+                    # This avoids creating temp files on MySQL server
+                    rows = cursor.fetchall()
+
+                    logger.info(f"Fetched {len(rows)} rows from partition {partition}")
+
+                    # Yield rows in batches for memory efficiency
+                    for i in range(0, len(rows), batch_size):
+                        batch = rows[i:i+batch_size]
+                        for row in batch:
+                            yield row
+
+                    logger.info(f"Finished streaming partition {partition}")
+                    return  # Success
+
+            except pymysql.Error as e:
+                retries += 1
+                if retries >= self.MAX_RETRIES:
+                    logger.error(
+                        f"Failed to stream from {table} partition {partition} "
+                        f"after {self.MAX_RETRIES} retries: {e}"
+                    )
+                    raise
+                else:
+                    logger.warning(
+                        f"Stream failed (retry {retries}/{self.MAX_RETRIES}): {e}"
+                    )
+                    self._reconnect()
+
+    def fetch_consolidation_keys_from_partition(
+        self,
+        table: str,
+        partition: str,
+        limit: Optional[int] = None,
+        offset: int = 0
+    ) -> List[Dict[str, Any]]:
+        """Fetch distinct consolidation keys from a partition.
+
+        Query pattern:
+            SELECT UnitName, ToolNameID, EventDate, EventTime
+            FROM table PARTITION (partition)
+            GROUP BY UnitName, ToolNameID, EventDate, EventTime
+            ORDER BY UnitName, ToolNameID, EventDate, EventTime
+            LIMIT X OFFSET Y
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+            partition: Partition name (e.g., 'p2024')
+            limit: Number of keys to fetch (uses CONSOLIDATION_GROUP_LIMIT if None)
+            offset: Starting offset for pagination
+
+        Returns:
+            List of dicts with keys: UnitName, ToolNameID, EventDate, EventTime
+        """
+        if table not in ("RAWDATACOR", "ELABDATADISP"):
+            raise ValueError(f"Consolidation not supported for table {table}")
+
+        if limit is None:
+            limit = self.settings.migration.consolidation_group_limit
+
+        retries = 0
+        while retries < self.MAX_RETRIES:
+            try:
+                with self.connection.cursor() as cursor:
+                    query = f"""
+                        SELECT UnitName, ToolNameID, EventDate, EventTime
+                        FROM `{table}` PARTITION (`{partition}`)
+                        GROUP BY UnitName, ToolNameID, EventDate, EventTime
+                        ORDER BY UnitName, ToolNameID, EventDate, EventTime
+                        LIMIT %s OFFSET %s
+                    """
+                    cursor.execute(query, (limit, offset))
+                    keys = cursor.fetchall()
+                    return keys
+
+            except pymysql.Error as e:
+                retries += 1
+                if retries >= self.MAX_RETRIES:
+                    logger.error(
+                        f"Failed to fetch consolidation keys from {table} "
+                        f"partition {partition} (offset={offset}) after {self.MAX_RETRIES} retries: {e}"
+                    )
+                    raise
+                else:
+                    logger.warning(
+                        f"Fetch consolidation keys failed (retry {retries}/{self.MAX_RETRIES}): {e}"
+                    )
+                    self._reconnect()
+
+    def fetch_records_for_key(
+        self,
+        table: str,
+        partition: str,
+        unit_name: Any,
+        tool_name_id: Any,
+        event_date: Any,
+        event_time: Any
+    ) -> List[Dict[str, Any]]:
+        """Fetch all records for a specific consolidation key.
+
+        Query pattern:
+            SELECT *
+            FROM table PARTITION (partition)
+            WHERE UnitName = ? AND ToolNameID = ?
+              AND EventDate = ? AND EventTime = ?
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+            partition: Partition name
+            unit_name: UnitName value
+            tool_name_id: ToolNameID value
+            event_date: EventDate value
+            event_time: EventTime value
+
+        Returns:
+            List of all MySQL rows matching the key (different NodeNum)
+        """
+        if table not in ("RAWDATACOR", "ELABDATADISP"):
+            raise ValueError(f"Consolidation not supported for table {table}")
+
+        retries = 0
+        while retries < self.MAX_RETRIES:
+            try:
+                with self.connection.cursor() as cursor:
+                    query = f"""
+                        SELECT *
+                        FROM `{table}` PARTITION (`{partition}`)
+                        WHERE UnitName = %s
+                          AND ToolNameID = %s
+                          AND EventDate = %s
+                          AND EventTime = %s
+                        ORDER BY NodeNum
+                    """
+                    cursor.execute(query, (unit_name, tool_name_id, event_date, event_time))
+                    rows = cursor.fetchall()
+                    return rows
+
+            except pymysql.Error as e:
+                retries += 1
+                if retries >= self.MAX_RETRIES:
+                    logger.error(
+                        f"Failed to fetch records for key "
+                        f"({unit_name}, {tool_name_id}, {event_date}, {event_time}) "
+                        f"from {table} partition {partition} after {self.MAX_RETRIES} retries: {e}"
+                    )
+                    raise
+                else:
+                    logger.warning(
+                        f"Fetch records for key failed (retry {retries}/{self.MAX_RETRIES}): {e}"
+                    )
+                    self._reconnect()
+
+    def fetch_consolidation_keys_after(
+        self,
+        table: str,
+        after_key: Optional[Dict[str, Any]] = None,
+        min_mysql_id: int = 0,
+        limit: Optional[int] = None,
+        offset: int = 0
+    ) -> List[Dict[str, Any]]:
+        """Fetch distinct consolidation keys after a specific key (for incremental migration).
+
+        Query pattern:
+            SELECT UnitName, ToolNameID, EventDate, EventTime
+            FROM table
+            WHERE id > min_mysql_id
+              AND (UnitName, ToolNameID, EventDate, EventTime) > (?, ?, ?, ?)
+            GROUP BY UnitName, ToolNameID, EventDate, EventTime
+            ORDER BY UnitName, ToolNameID, EventDate, EventTime
+            LIMIT X OFFSET Y
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+            after_key: Start after this key (dict with unit_name, tool_name_id, event_date, event_time)
+            min_mysql_id: Only fetch rows with id > this value (optimization to avoid scanning already migrated data)
+            limit: Number of keys to fetch (uses CONSOLIDATION_GROUP_LIMIT if None)
+            offset: Starting offset for pagination
+
+        Returns:
+            List of dicts with keys: UnitName, ToolNameID, EventDate, EventTime
+        """
+        if table not in ("RAWDATACOR", "ELABDATADISP"):
+            raise ValueError(f"Consolidation not supported for table {table}")
+
+        if limit is None:
+            limit = self.settings.migration.consolidation_group_limit
+
+        # Determine ID column name based on table
+        id_column = "idElabData" if table == "ELABDATADISP" else "id"
+
+        retries = 0
+        while retries < self.MAX_RETRIES:
+            try:
+                with self.connection.cursor() as cursor:
+                    if after_key:
+                        # Incremental: fetch keys AFTER the last migrated key
+                        # Filter by ID first for performance (uses PRIMARY KEY index)
+                        query = f"""
+                            SELECT UnitName, ToolNameID, EventDate, EventTime
+                            FROM `{table}`
+                            WHERE `{id_column}` > %s
+                              AND (UnitName, ToolNameID, EventDate, EventTime) > (%s, %s, %s, %s)
+                            GROUP BY UnitName, ToolNameID, EventDate, EventTime
+                            ORDER BY UnitName, ToolNameID, EventDate, EventTime
+                            LIMIT %s OFFSET %s
+                        """
+                        cursor.execute(
+                            query,
+                            (
+                                min_mysql_id,
+                                after_key.get("unit_name"),
+                                after_key.get("tool_name_id"),
+                                after_key.get("event_date"),
+                                after_key.get("event_time"),
+                                limit,
+                                offset
+                            )
+                        )
+                    else:
+                        # No after_key: fetch from beginning
+                        # Still filter by ID if min_mysql_id is provided
+                        if min_mysql_id > 0:
+                            query = f"""
+                                SELECT UnitName, ToolNameID, EventDate, EventTime
+                                FROM `{table}`
+                                WHERE `{id_column}` > %s
+                                GROUP BY UnitName, ToolNameID, EventDate, EventTime
+                                ORDER BY UnitName, ToolNameID, EventDate, EventTime
+                                LIMIT %s OFFSET %s
+                            """
+                            cursor.execute(query, (min_mysql_id, limit, offset))
+                        else:
+                            query = f"""
+                                SELECT UnitName, ToolNameID, EventDate, EventTime
+                                FROM `{table}`
+                                GROUP BY UnitName, ToolNameID, EventDate, EventTime
+                                ORDER BY UnitName, ToolNameID, EventDate, EventTime
+                                LIMIT %s OFFSET %s
+                            """
+                            cursor.execute(query, (limit, offset))
+
+                    keys = cursor.fetchall()
+                    return keys
+
+            except pymysql.Error as e:
+                retries += 1
+                if retries >= self.MAX_RETRIES:
+                    logger.error(
+                        f"Failed to fetch consolidation keys from {table} "
+                        f"(after_key={after_key}, offset={offset}) after {self.MAX_RETRIES} retries: {e}"
+                    )
+                    raise
+                else:
+                    logger.warning(
+                        f"Fetch consolidation keys after failed (retry {retries}/{self.MAX_RETRIES}): {e}"
+                    )
+                    self._reconnect()
+
+    def fetch_records_for_key_all_partitions(
+        self,
+        table: str,
+        unit_name: Any,
+        tool_name_id: Any,
+        event_date: Any,
+        event_time: Any
+    ) -> List[Dict[str, Any]]:
+        """Fetch all records for a specific consolidation key across all partitions.
+
+        Used for incremental migration where we don't know which partition the key is in.
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+            unit_name: UnitName value
+            tool_name_id: ToolNameID value
+            event_date: EventDate value
+            event_time: EventTime value
+
+        Returns:
+            List of all MySQL rows matching the key (different NodeNum)
+        """
+        if table not in ("RAWDATACOR", "ELABDATADISP"):
+            raise ValueError(f"Consolidation not supported for table {table}")
+
+        retries = 0
+        while retries < self.MAX_RETRIES:
+            try:
+                with self.connection.cursor() as cursor:
+                    query = f"""
+                        SELECT *
+                        FROM `{table}`
+                        WHERE UnitName = %s
+                          AND ToolNameID = %s
+                          AND EventDate = %s
+                          AND EventTime = %s
+                        ORDER BY NodeNum
+                    """
+                    cursor.execute(query, (unit_name, tool_name_id, event_date, event_time))
+                    rows = cursor.fetchall()
+                    return rows
+
+            except pymysql.Error as e:
+                retries += 1
+                if retries >= self.MAX_RETRIES:
+                    logger.error(
+                        f"Failed to fetch records for key "
+                        f"({unit_name}, {tool_name_id}, {event_date}, {event_time}) "
+                        f"from {table} after {self.MAX_RETRIES} retries: {e}"
+                    )
+                    raise
+                else:
+                    logger.warning(
+                        f"Fetch records for key (all partitions) failed (retry {retries}/{self.MAX_RETRIES}): {e}"
+                    )
+                    self._reconnect()

src/connectors/postgres_connector.py

@@ -1,7 +1,6 @@
 """PostgreSQL database connector."""
 import psycopg
-from typing import List, Dict, Any, Optional, Iterator
+from typing import List, Dict, Any
-from psycopg import sql
 import json
 from config import get_settings
 from src.utils.logger import get_logger
@@ -13,72 +12,151 @@ class PostgreSQLConnector:
     """Connector for PostgreSQL database."""
 
     def __init__(self):
-        """Initialize PostgreSQL connector with settings."""
+        """Initialize the PostgreSQL connector."""
         self.settings = get_settings()
         self.connection = None
 
-    def connect(self) -> None:
+    def connect(self):
-        """Establish connection to PostgreSQL database."""
+        """Connect to PostgreSQL."""
         try:
             self.connection = psycopg.connect(
                 host=self.settings.postgres.host,
                 port=self.settings.postgres.port,
+                dbname=self.settings.postgres.database,
                 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"Connected to PostgreSQL: {self.settings.postgres.host}:{self.settings.postgres.port}/{self.settings.postgres.database}"
-                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:
+    def disconnect(self):
-        """Close connection to PostgreSQL database."""
+        """Disconnect from PostgreSQL."""
         if self.connection:
             self.connection.close()
             logger.info("Disconnected from PostgreSQL")
 
     def __enter__(self):
-        """Context manager entry."""
+        """Context manager entry - connect to database."""
         self.connect()
         return self
 
     def __exit__(self, exc_type, exc_val, exc_tb):
-        """Context manager exit."""
+        """Context manager exit - disconnect from database."""
-        if exc_type is None:
-            # No exception, commit before closing
-            try:
-                self.connection.commit()
-            except Exception as e:
-                logger.warning(f"Failed to commit on exit: {e}")
-        else:
-            # Exception occurred, rollback
-            try:
-                self.connection.rollback()
-            except Exception as e:
-                logger.warning(f"Failed to rollback on exit: {e}")
         self.disconnect()
+        return False
 
-    def execute(self, query: str, params: Optional[tuple] = None) -> None:
+    def execute_query(
-        """Execute a query without returning results with retry logic.
+        self, query: str, params: tuple = None, fetch: bool = False
+    ) -> List[Dict[str, Any]]:
+        """Execute a query and optionally fetch results.
 
         Args:
-            query: SQL query
+            query: SQL query to execute
             params: Query parameters
+            fetch: Whether to fetch and return results
+
+        Returns:
+            List of result rows as dictionaries (if fetch=True)
         """
+        try:
+            with self.connection.cursor() as cursor:
+                cursor.execute(query, params)
+                if fetch:
+                    columns = [desc[0] for desc in cursor.description]
+                    rows = cursor.fetchall()
+                    return [dict(zip(columns, row)) for row in rows]
+                self.connection.commit()
+                return []
+        except psycopg.Error as e:
+            self.connection.rollback()
+            logger.error(f"Query execution failed: {e}")
+            raise
+
+    def execute_script(self, script: str):
+        """Execute a SQL script (multiple statements).
+
+        Args:
+            script: SQL script to execute
+        """
+        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 copy_from(
+        self,
+        table: str,
+        rows: List[Dict[str, Any]],
+        columns: List[str]
+    ) -> int:
+        """Insert a batch of rows using PostgreSQL COPY (10-100x faster than 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
+
         max_retries = 3
         retries = 0
 
         while retries < max_retries:
             try:
                 with self.connection.cursor() as cursor:
-                    cursor.execute(query, params)
+                    # Prepare data for COPY
+                    # COPY expects tab-separated text with one row per line
+                    from io import StringIO
+
+                    copy_data = StringIO()
+                    for row in rows:
+                        values = []
+                        for col in columns:
+                            val = row.get(col)
+                            # Handle None/NULL
+                            if val is None:
+                                values.append("\\N")
+                            # Convert JSONB dicts to JSON strings
+                            elif isinstance(val, (dict, list)):
+                                # Escape special characters in JSON
+                                json_str = json.dumps(val).replace("\\", "\\\\").replace("\n", "\\n").replace("\r", "\\r").replace("\t", "\\t")
+                                values.append(json_str)
+                            # Convert bool to PostgreSQL format
+                            elif isinstance(val, bool):
+                                values.append("t" if val else "f")
+                            # All other values as strings
+                            else:
+                                # Escape special characters
+                                str_val = str(val).replace("\\", "\\\\").replace("\n", "\\n").replace("\r", "\\r").replace("\t", "\\t")
+                                values.append(str_val)
+
+                        copy_data.write("\t".join(values) + "\n")
+
+                    copy_data.seek(0)
+
+                    # Use COPY command
+                    with cursor.copy(f"COPY {table} ({','.join(columns)}) FROM STDIN") as copy:
+                        copy.write(copy_data.getvalue())
+
                     self.connection.commit()
-                return  # Success
+
+                    logger.debug(f"COPY inserted {len(rows)} rows into {table}")
+                    return len(rows)
+
             except psycopg.Error as e:
                 try:
                     self.connection.rollback()
@@ -87,11 +165,129 @@ class PostgreSQLConnector:
 
                 retries += 1
                 if retries >= max_retries:
-                    logger.error(f"Query execution failed after {max_retries} retries: {e}\nQuery: {query}")
+                    logger.error(f"COPY insert failed after {max_retries} retries: {e}")
                     raise
                 else:
                     logger.warning(
-                        f"Query execution failed (retry {retries}/{max_retries}): {e}. "
+                        f"COPY insert failed (retry {retries}/{max_retries}): {e}. "
+                        f"Reconnecting and retrying..."
+                    )
+                    # Reconnect before retry
+                    try:
+                        self.disconnect()
+                    except Exception:
+                        pass
+                    try:
+                        self.connect()
+                    except Exception as reconnect_error:
+                        logger.error(f"Failed to reconnect: {reconnect_error}")
+                        if retries >= max_retries:
+                            raise
+
+    def copy_from_with_conflict(
+        self,
+        table: str,
+        rows: List[Dict[str, Any]],
+        columns: List[str],
+        conflict_columns: List[str]
+    ) -> int:
+        """Insert a batch of rows using COPY + ON CONFLICT for duplicate handling.
+
+        This method is fast (uses COPY) but handles UNIQUE constraint violations:
+        1. COPY data into a temporary table (fast bulk load)
+        2. INSERT from temp table with ON CONFLICT DO NOTHING (skip duplicates)
+
+        Args:
+            table: Target table name
+            rows: List of row dictionaries
+            columns: Column names in order
+            conflict_columns: Columns that form the UNIQUE constraint
+
+        Returns:
+            Number of rows inserted (excludes skipped duplicates)
+        """
+        if not rows:
+            return 0
+
+        max_retries = 3
+        retries = 0
+
+        while retries < max_retries:
+            try:
+                with self.connection.cursor() as cursor:
+                    # Create temporary table with same structure but without id column
+                    # The id column is auto-generated and shouldn't be in the COPY data
+                    temp_table = f"{table}_temp_{id(rows)}"
+                    cursor.execute(f"""
+                        CREATE TEMP TABLE {temp_table}
+                        (LIKE {table} INCLUDING DEFAULTS EXCLUDING IDENTITY)
+                        ON COMMIT DROP
+                    """)
+                    # Drop the id column from temp table since we don't provide it in COPY
+                    cursor.execute(f"ALTER TABLE {temp_table} DROP COLUMN IF EXISTS id")
+
+                    # COPY into temp table
+                    from io import StringIO
+
+                    copy_data = StringIO()
+                    for row in rows:
+                        values = []
+                        for col in columns:
+                            val = row.get(col)
+                            if val is None:
+                                values.append("\\N")
+                            elif isinstance(val, (dict, list)):
+                                json_str = json.dumps(val).replace("\\", "\\\\").replace("\n", "\\n").replace("\r", "\\r").replace("\t", "\\t")
+                                values.append(json_str)
+                            elif isinstance(val, bool):
+                                values.append("t" if val else "f")
+                            else:
+                                str_val = str(val).replace("\\", "\\\\").replace("\n", "\\n").replace("\r", "\\r").replace("\t", "\\t")
+                                values.append(str_val)
+
+                        copy_data.write("\t".join(values) + "\n")
+
+                    copy_data.seek(0)
+
+                    with cursor.copy(f"COPY {temp_table} ({','.join(columns)}) FROM STDIN") as copy:
+                        copy.write(copy_data.getvalue())
+
+                    # INSERT from temp table with ON CONFLICT
+                    conflict_clause = f"({','.join(conflict_columns)})"
+                    insert_sql = f"""
+                        INSERT INTO {table} ({','.join(columns)})
+                        SELECT {','.join(columns)}
+                        FROM {temp_table}
+                        ON CONFLICT {conflict_clause} DO NOTHING
+                    """
+                    cursor.execute(insert_sql)
+                    inserted_count = cursor.rowcount
+
+                    self.connection.commit()
+
+                    if inserted_count < len(rows):
+                        logger.debug(
+                            f"COPY+ON CONFLICT inserted {inserted_count}/{len(rows)} rows into {table} "
+                            f"({len(rows) - inserted_count} duplicates skipped)"
+                        )
+                    else:
+                        logger.debug(f"COPY+ON CONFLICT inserted {inserted_count} rows into {table}")
+
+                    return inserted_count
+
+            except psycopg.Error as e:
+                try:
+                    self.connection.rollback()
+                except Exception:
+                    pass
+
+                retries += 1
+                if retries >= max_retries:
+                    logger.error(f"COPY+ON CONFLICT insert failed after {max_retries} retries: {e}")
+                    raise
+                else:
+                    logger.warning(
+                        f"COPY+ON CONFLICT insert failed (retry {retries}/{max_retries}): {e}. "
                         f"Reconnecting and retrying..."
                     )
                     try:
@@ -105,22 +301,6 @@ class PostgreSQLConnector:
                         if retries >= max_retries:
                             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,
@@ -204,48 +384,21 @@ class PostgreSQLConnector:
             table: Table name
 
         Returns:
-            True if table exists, False otherwise
+            True if table exists
         """
         try:
             with self.connection.cursor() as cursor:
                 cursor.execute(
-                    "SELECT EXISTS("
+                    "SELECT EXISTS (SELECT 1 FROM information_schema.tables WHERE table_name = %s)",
-                    "  SELECT 1 FROM information_schema.tables "
+                    (table,),
-                    "  WHERE table_name = %s"
-                    ")",
-                    (table,)
                 )
                 return cursor.fetchone()[0]
         except psycopg.Error as e:
-            logger.error(f"Failed to check if table exists: {e}")
+            logger.error(f"Failed to check table existence: {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.
+        """Get the number of rows in a table.
 
         Args:
             table: Table name

src/migrator/__init__.py

@@ -0,0 +1,25 @@
+"""Migration modules for MySQL to PostgreSQL migration.
+
+New architecture:
+- consolidator: Consolidate MySQL rows by NodeNum into single PostgreSQL row
+- state_manager: Track migration progress in PostgreSQL migration_state table
+- partition_migrator: Migrate single MySQL partition
+- full_migrator: Orchestrate full migration of all partitions
+- incremental_migrator: Migrate only new data since last migration
+"""
+from src.migrator.consolidator import Consolidator, consolidate_rows
+from src.migrator.state_manager import StateManager
+from src.migrator.partition_migrator import PartitionMigrator
+from src.migrator.full_migrator import FullMigrator, run_full_migration
+from src.migrator.incremental_migrator import IncrementalMigrator, run_incremental_migration
+
+__all__ = [
+    "Consolidator",
+    "consolidate_rows",
+    "StateManager",
+    "PartitionMigrator",
+    "FullMigrator",
+    "run_full_migration",
+    "IncrementalMigrator",
+    "run_incremental_migration",
+]

src/migrator/consolidator.py

@@ -0,0 +1,330 @@
+"""Consolidation logic for MySQL to PostgreSQL migration.
+
+Consolidates multiple MySQL rows (different NodeNum) with same consolidation key
+into a single PostgreSQL row with measurements stored in JSONB.
+
+Consolidation key: (UnitName, ToolNameID, EventDate, EventTime)
+Multiple nodes → single JSONB structure with node_X keys
+"""
+from typing import List, Dict, Any, Optional
+from datetime import datetime, date, time, timedelta
+from decimal import Decimal
+
+from config import (
+    TABLE_CONFIGS,
+    RAWDATACOR_COLUMNS,
+    ELABDATADISP_FIELD_MAPPING,
+)
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+def _combine_datetime(event_date: Any, event_time: Any) -> Optional[datetime]:
+    """Combine MySQL EventDate and EventTime into a single datetime.
+
+    Args:
+        event_date: MySQL EventDate (date object or string)
+        event_time: MySQL EventTime (time object or string)
+
+    Returns:
+        Combined datetime or None if inputs are invalid
+    """
+    if event_date is None or event_time is None:
+        return None
+
+    try:
+        # Handle if already datetime objects
+        if isinstance(event_date, datetime):
+            event_date = event_date.date()
+        elif isinstance(event_date, str):
+            event_date = datetime.fromisoformat(event_date).date()
+
+        if isinstance(event_time, str):
+            event_time = datetime.strptime(event_time, "%H:%M:%S").time()
+        elif isinstance(event_time, datetime):
+            event_time = event_time.time()
+        elif isinstance(event_time, timedelta):
+            # Convert timedelta to time (MySQL TIME type returns timedelta)
+            total_seconds = int(event_time.total_seconds())
+            hours = total_seconds // 3600
+            minutes = (total_seconds % 3600) // 60
+            seconds = total_seconds % 60
+            event_time = time(hours, minutes, seconds)
+
+        # Combine date and time
+        return datetime.combine(event_date, event_time)
+    except Exception as e:
+        logger.warning(f"Failed to combine date {event_date} and time {event_time}: {e}")
+        return None
+
+
+class Consolidator:
+    """Consolidate MySQL rows into PostgreSQL format with node-based JSONB."""
+
+    @staticmethod
+    def consolidate_rawdatacor(mysql_rows: List[Dict[str, Any]]) -> Dict[str, Any]:
+        """Consolidate RAWDATACOR rows by NodeNum into single PostgreSQL row.
+
+        Args:
+            mysql_rows: List of MySQL rows with same (UnitName, ToolNameID, EventDate, EventTime)
+                       but different NodeNum
+
+        Returns:
+            Single PostgreSQL row dict with consolidated measurements
+
+        Example measurements structure:
+            {
+                "node_1": {
+                    "0": {"value": "123.45", "unit": "°C"},
+                    "1": {"value": "67.89", "unit": "bar"},
+                    ...
+                    "F": {"value": "11.22", "unit": "m/s"}
+                },
+                "node_2": { ... }
+            }
+        """
+        if not mysql_rows:
+            raise ValueError("Cannot consolidate empty row list")
+
+        # Get consolidation key from first row (all rows have same key)
+        first_row = mysql_rows[0]
+        config = TABLE_CONFIGS["RAWDATACOR"]
+
+        # Build measurements JSONB by node
+        measurements = {}
+        mysql_ids = []
+
+        for row in mysql_rows:
+            node_num = row.get("NodeNum")
+            if node_num is None:
+                logger.warning(f"Row missing NodeNum, skipping: {row.get(config['mysql_pk'])}")
+                continue
+
+            # Track MySQL IDs for max calculation
+            mysql_id = row.get(config["mysql_pk"])
+            if mysql_id:
+                mysql_ids.append(int(mysql_id))
+
+            # Create node key (e.g., "node_1", "node_2")
+            node_key = f"node_{node_num}"
+
+            # Build measurements for this node
+            node_measurements = {}
+            val_columns = RAWDATACOR_COLUMNS["val_columns"]
+            unit_columns = RAWDATACOR_COLUMNS["unit_columns"]
+
+            for idx, val_col in enumerate(val_columns):
+                unit_col = unit_columns[idx]
+                val = row.get(val_col)
+                unit = row.get(unit_col)
+
+                # Only include non-NULL values
+                if val is not None:
+                    # Get hex key (0, 1, 2, ..., F)
+                    hex_key = val_col.replace("Val", "")
+
+                    measurement = {}
+                    # Convert Decimal to float for JSON serialization
+                    if isinstance(val, Decimal):
+                        measurement["value"] = float(val)
+                    else:
+                        measurement["value"] = val
+
+                    if unit is not None and unit != "":
+                        measurement["unit"] = unit
+
+                    node_measurements[hex_key] = measurement
+
+            measurements[node_key] = node_measurements
+
+        # Calculate max MySQL ID
+        mysql_max_id = max(mysql_ids) if mysql_ids else 0
+
+        # Combine EventDate + EventTime into event_timestamp
+        event_timestamp = _combine_datetime(
+            first_row.get("EventDate"),
+            first_row.get("EventTime")
+        )
+
+        # Extract year from event_timestamp for partition key
+        event_year = event_timestamp.year if event_timestamp else None
+
+        # Calculate created_at (minimum from all rows)
+        # Note: RAWDATACOR does not have updated_at field
+        created_at_values = [row.get("created_at") for row in mysql_rows if row.get("created_at") is not None]
+        created_at = min(created_at_values) if created_at_values else None
+
+        # Build PostgreSQL row
+        pg_row = {
+            "mysql_max_id": mysql_max_id,
+            "unit_name": first_row.get("UnitName"),
+            "tool_name_id": first_row.get("ToolNameID"),
+            "event_timestamp": event_timestamp,
+            "event_year": event_year,
+            "measurements": measurements,
+            "bat_level": first_row.get("BatLevel"),
+            "temperature": first_row.get("Temperature"),
+            "bat_level_module": first_row.get("BatLevel_module"),
+            "temperature_module": first_row.get("Temperature_module"),
+            "rssi_module": first_row.get("RSSI_module"),
+            "created_at": created_at,
+        }
+
+        return pg_row
+
+    @staticmethod
+    def consolidate_elabdatadisp(mysql_rows: List[Dict[str, Any]]) -> Dict[str, Any]:
+        """Consolidate ELABDATADISP rows by NodeNum into single PostgreSQL row.
+
+        Args:
+            mysql_rows: List of MySQL rows with same (UnitName, ToolNameID, EventDate, EventTime)
+                       but different NodeNum
+
+        Returns:
+            Single PostgreSQL row dict with consolidated measurements
+
+        Example measurements structure:
+            {
+                "node_1": {
+                    "shifts": {"x": 1.234, "y": 2.345, "z": 3.456, ...},
+                    "coordinates": {"x": 10.123, "y": 20.234, ...},
+                    "kinematics": {"speed": 1.111, ...},
+                    "sensors": {"t_node": 25.5, ...},
+                    "calculated": {"alfa_x": 0.123, ...}
+                },
+                "node_2": { ... }
+            }
+        """
+        if not mysql_rows:
+            raise ValueError("Cannot consolidate empty row list")
+
+        # Get consolidation key from first row (all rows have same key)
+        first_row = mysql_rows[0]
+        config = TABLE_CONFIGS["ELABDATADISP"]
+
+        # Build measurements JSONB by node
+        measurements = {}
+        mysql_ids = []
+
+        for row in mysql_rows:
+            node_num = row.get("NodeNum")
+            if node_num is None:
+                logger.warning(f"Row missing NodeNum, skipping: {row.get(config['mysql_pk'])}")
+                continue
+
+            # Track MySQL IDs for max calculation
+            mysql_id = row.get(config["mysql_pk"])
+            if mysql_id:
+                mysql_ids.append(int(mysql_id))
+
+            # Create node key (e.g., "node_1", "node_2")
+            node_key = f"node_{node_num}"
+
+            # Build measurements for this node using field mapping
+            node_measurements = {
+                "shifts": {},
+                "coordinates": {},
+                "kinematics": {},
+                "sensors": {},
+                "calculated": {},
+            }
+
+            # Add state and calc_err if present
+            if "State" in row and row["State"] is not None:
+                node_measurements["state"] = row["State"]
+            # MySQL field is 'calcerr' (lowercase), not 'CalcErr'
+            if "calcerr" in row and row["calcerr"] is not None:
+                node_measurements["calc_err"] = row["calcerr"]
+
+            # Map MySQL fields to JSONB structure
+            for mysql_field, (category, json_key) in ELABDATADISP_FIELD_MAPPING.items():
+                value = row.get(mysql_field)
+
+                # Only include non-NULL values
+                if value is not None:
+                    # Convert Decimal to float for JSON serialization
+                    if isinstance(value, Decimal):
+                        value = float(value)
+
+                    node_measurements[category][json_key] = value
+
+            # Remove empty categories
+            node_measurements = {
+                k: v for k, v in node_measurements.items()
+                if v and (not isinstance(v, dict) or len(v) > 0)
+            }
+
+            measurements[node_key] = node_measurements
+
+        # Calculate max MySQL ID
+        mysql_max_id = max(mysql_ids) if mysql_ids else 0
+
+        # Combine EventDate + EventTime into event_timestamp
+        event_timestamp = _combine_datetime(
+            first_row.get("EventDate"),
+            first_row.get("EventTime")
+        )
+
+        # Extract year from event_timestamp for partition key
+        event_year = event_timestamp.year if event_timestamp else None
+
+        # Calculate created_at (minimum from all rows) and updated_at (maximum from all rows)
+        created_at_values = [row.get("created_at") for row in mysql_rows if row.get("created_at") is not None]
+        updated_at_values = [row.get("updated_at") for row in mysql_rows if row.get("updated_at") is not None]
+
+        created_at = min(created_at_values) if created_at_values else None
+        updated_at = max(updated_at_values) if updated_at_values else None
+
+        # Build PostgreSQL row
+        pg_row = {
+            "mysql_max_id": mysql_max_id,
+            "unit_name": first_row.get("UnitName"),
+            "tool_name_id": first_row.get("ToolNameID"),
+            "event_timestamp": event_timestamp,
+            "event_year": event_year,
+            "measurements": measurements,
+            "created_at": created_at,
+            "updated_at": updated_at,
+        }
+
+        return pg_row
+
+    @staticmethod
+    def consolidate(table: str, mysql_rows: List[Dict[str, Any]]) -> Dict[str, Any]:
+        """Consolidate rows for the specified table.
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+            mysql_rows: List of MySQL rows to consolidate
+
+        Returns:
+            Consolidated PostgreSQL row
+
+        Raises:
+            ValueError: If table is unknown or rows are empty
+        """
+        if not mysql_rows:
+            raise ValueError("Cannot consolidate empty row list")
+
+        table_upper = table.upper()
+
+        if table_upper == "RAWDATACOR":
+            return Consolidator.consolidate_rawdatacor(mysql_rows)
+        elif table_upper == "ELABDATADISP":
+            return Consolidator.consolidate_elabdatadisp(mysql_rows)
+        else:
+            raise ValueError(f"Unknown table: {table}")
+
+
+def consolidate_rows(table: str, mysql_rows: List[Dict[str, Any]]) -> Dict[str, Any]:
+    """Convenience function to consolidate rows.
+
+    Args:
+        table: Table name (RAWDATACOR or ELABDATADISP)
+        mysql_rows: List of MySQL rows with same consolidation key
+
+    Returns:
+        Single consolidated PostgreSQL row
+    """
+    return Consolidator.consolidate(table, mysql_rows)

src/migrator/full_migrator.py

@@ -0,0 +1,240 @@
+"""Full migration orchestrator for MySQL to PostgreSQL.
+
+Coordinates migration of all partitions or a specific partition.
+"""
+from typing import Optional, List
+
+from config import get_settings, TABLE_CONFIGS
+from src.connectors.mysql_connector import MySQLConnector
+from src.connectors.postgres_connector import PostgreSQLConnector
+from src.migrator.partition_migrator import PartitionMigrator
+from src.migrator.state_manager import StateManager
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class FullMigrator:
+    """Orchestrate full migration of all partitions."""
+
+    def __init__(self, table: str):
+        """Initialize full migrator.
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+        """
+        if table.upper() not in ("RAWDATACOR", "ELABDATADISP"):
+            raise ValueError(f"Unknown table: {table}")
+
+        self.table = table.upper()
+        self.config = TABLE_CONFIGS[self.table]
+        self.settings = get_settings()
+        self.partition_migrator = PartitionMigrator(table)
+
+    def migrate(
+        self,
+        partition: Optional[str] = None,
+        dry_run: bool = False,
+        resume: bool = False
+    ) -> int:
+        """Perform full migration.
+
+        Args:
+            partition: If specified, migrate only this partition (for testing)
+            dry_run: If True, log what would be done without modifying data
+            resume: If True, resume from last checkpoint
+
+        Returns:
+            Total number of PostgreSQL rows migrated
+        """
+        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:
+                with PostgreSQLConnector() as pg_conn:
+                    # Check PostgreSQL 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."
+                        )
+
+                    # Initialize state manager (using _global for table-level state)
+                    global_state_mgr = StateManager(pg_conn, pg_table, "_global")
+
+                    # Get partitions to migrate
+                    if partition:
+                        # Single partition mode
+                        partitions = [partition]
+                        # Check if this partition is in-progress and should be resumed
+                        in_progress_partitions = global_state_mgr.get_in_progress_partitions()
+                        should_resume = resume and partition in in_progress_partitions
+                        logger.info(f"Single partition mode: {partition}" +
+                                   (f" (resuming from checkpoint)" if should_resume else ""))
+                    else:
+                        # Full migration: all partitions
+                        all_partitions = mysql_conn.get_table_partitions(mysql_table)
+                        logger.info(f"Found {len(all_partitions)} partitions: {all_partitions}")
+
+                        # Check resume - get list of completed and in-progress partitions
+                        if resume:
+                            completed_partitions = global_state_mgr.get_completed_partitions()
+                            in_progress_partitions = global_state_mgr.get_in_progress_partitions()
+
+                            # Skip partitions already completed
+                            partitions = [p for p in all_partitions if p not in completed_partitions]
+
+                            logger.info(
+                                f"Resuming migration. Completed: {len(completed_partitions)}, "
+                                f"In-progress: {len(in_progress_partitions)}, "
+                                f"Remaining: {len(partitions)} partitions"
+                            )
+
+                            if in_progress_partitions:
+                                logger.info(f"Will resume in-progress partitions: {in_progress_partitions}")
+                        else:
+                            partitions = all_partitions
+                            in_progress_partitions = []
+
+                    if dry_run:
+                        logger.info(
+                            f"[DRY RUN] Would migrate {len(partitions)} partition(s): "
+                            f"{partitions}"
+                        )
+                        return 0
+
+                    # Migrate each partition
+                    total_migrated = 0
+                    for idx, part_name in enumerate(partitions, 1):
+                        # Determine if this partition should be resumed
+                        # In single partition mode, use should_resume from above
+                        # In full mode, check if partition is in-progress
+                        if partition:
+                            # Single partition mode - use the should_resume flag set earlier
+                            do_resume = should_resume
+                        else:
+                            # Full migration mode - resume if partition is in-progress
+                            do_resume = resume and part_name in in_progress_partitions
+
+                        resume_msg = " (resuming from checkpoint)" if do_resume else ""
+                        logger.info(
+                            f"[{idx}/{len(partitions)}] Migrating partition: {part_name}{resume_msg}"
+                        )
+
+                        try:
+                            migrated = self.partition_migrator.migrate_partition(
+                                mysql_conn,
+                                pg_conn,
+                                part_name,
+                                dry_run=dry_run,
+                                resume=do_resume
+                            )
+                            total_migrated += migrated
+                            logger.info(
+                                f"✓ Partition {part_name} complete: "
+                                f"{migrated} rows, total: {total_migrated}"
+                            )
+
+                        except Exception as e:
+                            logger.error(
+                                f"Failed to migrate partition {part_name}: {e}"
+                            )
+                            raise
+
+                    # Get final row count from PostgreSQL
+                    final_count = pg_conn.get_row_count(pg_table)
+
+                    # Only mark global migration complete if ALL partitions are completed
+                    # Check if there are any in-progress or pending partitions remaining
+                    if partition:
+                        # Single partition mode - don't update global state
+                        logger.info(
+                            f"✓ Partition migration complete: {total_migrated:,} rows migrated in this run, "
+                            f"{final_count:,} total rows in {pg_table}"
+                        )
+                    else:
+                        # Full migration mode - check if everything is really done
+                        completed_partitions = global_state_mgr.get_completed_partitions()
+                        in_progress_check = global_state_mgr.get_in_progress_partitions()
+                        all_partitions_check = mysql_conn.get_table_partitions(mysql_table)
+
+                        if len(completed_partitions) == len(all_partitions_check) and len(in_progress_check) == 0:
+                            # All partitions are completed - mark global as complete
+                            # Get the maximum last_key across all partitions for incremental migration
+                            max_last_key = global_state_mgr.get_max_last_key_across_partitions()
+                            if max_last_key:
+                                logger.info(
+                                    f"Setting global last_key: "
+                                    f"({max_last_key.get('unit_name')}, {max_last_key.get('tool_name_id')}, "
+                                    f"{max_last_key.get('event_date')}, {max_last_key.get('event_time')})"
+                                )
+                                global_state_mgr.update_state(last_key=max_last_key)
+
+                            global_state_mgr.mark_completed(final_count)
+                            logger.info(
+                                f"✓ Full migration complete: {total_migrated:,} rows migrated in this run, "
+                                f"{final_count:,} total rows in {pg_table}"
+                            )
+                        else:
+                            logger.info(
+                                f"✓ Migration batch complete: {total_migrated:,} rows migrated in this run, "
+                                f"{final_count:,} total rows in {pg_table}. "
+                                f"{len(completed_partitions)}/{len(all_partitions_check)} partitions completed."
+                            )
+
+                    return total_migrated
+
+        except Exception as e:
+            logger.error(f"Full migration failed: {e}")
+            raise
+
+    def _get_remaining_partitions(
+        self,
+        all_partitions: List[str],
+        last_completed: str
+    ) -> List[str]:
+        """Get list of partitions that still need to be migrated.
+
+        Args:
+            all_partitions: All partition names from MySQL
+            last_completed: Last partition that was completed
+
+        Returns:
+            List of partition names to migrate
+        """
+        try:
+            # Find index of last completed partition
+            idx = all_partitions.index(last_completed)
+            # Return partitions after it
+            return all_partitions[idx + 1:]
+        except ValueError:
+            # last_completed not in list, return all
+            logger.warning(
+                f"Last completed partition {last_completed} not found in partition list. "
+                "Starting from beginning."
+            )
+            return all_partitions
+
+
+def run_full_migration(
+    table: str,
+    partition: Optional[str] = None,
+    dry_run: bool = False,
+    resume: bool = False
+) -> int:
+    """Run full migration for a table.
+
+    Args:
+        table: Table name to migrate (RAWDATACOR or ELABDATADISP)
+        partition: If specified, migrate only this partition
+        dry_run: If True, show what would be done without modifying data
+        resume: If True, resume from last checkpoint
+
+    Returns:
+        Number of rows migrated
+    """
+    migrator = FullMigrator(table)
+    return migrator.migrate(partition=partition, dry_run=dry_run, resume=resume)

src/migrator/incremental_migrator.py

@@ -0,0 +1,324 @@
+"""Incremental migration from MySQL to PostgreSQL.
+
+Migrates only new data since last full/incremental migration based on consolidation keys.
+"""
+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.migrator.consolidator import consolidate_rows
+from src.migrator.state_manager import StateManager
+from src.utils.logger import get_logger
+from src.utils.progress import ProgressTracker
+
+logger = get_logger(__name__)
+
+
+class IncrementalMigrator:
+    """Perform incremental migration based on consolidation keys."""
+
+    def __init__(self, table: str):
+        """Initialize incremental migrator.
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+        """
+        if table.upper() not in ("RAWDATACOR", "ELABDATADISP"):
+            raise ValueError(f"Unknown table: {table}")
+
+        self.table = table.upper()
+        self.config = TABLE_CONFIGS[self.table]
+        self.settings = get_settings()
+
+    def migrate(self, dry_run: bool = False) -> int:
+        """Perform incremental migration since last migration.
+
+        Migrates only consolidation keys that come AFTER the last migrated key.
+
+        Args:
+            dry_run: If True, log what would be done without modifying data
+
+        Returns:
+            Number of PostgreSQL rows migrated
+        """
+        mysql_table = self.config["mysql_table"]
+        pg_table = self.config["postgres_table"]
+
+        logger.info(f"Starting incremental migration of {mysql_table} -> {pg_table}")
+
+        try:
+            with MySQLConnector() as mysql_conn:
+                with PostgreSQLConnector() as pg_conn:
+                    # Check PostgreSQL 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."
+                        )
+
+                    # Initialize state manager
+                    state_mgr = StateManager(pg_conn, pg_table)
+
+                    # Get last migrated key from migration_state
+                    # This was saved during the last full/incremental migration
+                    last_key = state_mgr.get_last_key()
+
+                    if last_key is None:
+                        logger.info(
+                            f"No previous migration found for {pg_table}. "
+                            "Run 'migrate full' for initial migration."
+                        )
+                        return 0
+
+                    logger.info(
+                        f"Last migrated key (from migration_state): "
+                        f"({last_key.get('unit_name')}, {last_key.get('tool_name_id')}, "
+                        f"{last_key.get('event_date')}, {last_key.get('event_time')})"
+                    )
+
+                    # Get max MySQL ID already migrated to optimize query performance
+                    cursor = pg_conn.connection.cursor()
+                    cursor.execute(f"SELECT MAX(mysql_max_id) FROM {pg_table}")
+                    result = cursor.fetchone()
+                    max_mysql_id = result[0] if result and result[0] else 0
+
+                    logger.info(f"Max MySQL ID already migrated: {max_mysql_id}")
+
+                    if dry_run:
+                        # In dry-run, check how many new keys exist in MySQL
+                        logger.info("[DRY RUN] Checking for new keys in MySQL...")
+
+                        # Sample first 100 keys to check if there are new records
+                        sample_keys = mysql_conn.fetch_consolidation_keys_after(
+                            mysql_table,
+                            after_key=last_key,
+                            min_mysql_id=max_mysql_id,
+                            limit=100,
+                            offset=0
+                        )
+
+                        if sample_keys:
+                            # If we found 100 keys in the sample, there might be many more
+                            # Try to get a rough count by checking larger offsets
+                            if len(sample_keys) == 100:
+                                # There are at least 100 keys, check if there are more
+                                logger.info(
+                                    f"[DRY RUN] Found at least 100 new keys, checking total count..."
+                                )
+                                # Sample at different offsets to estimate total
+                                test_batch = mysql_conn.fetch_consolidation_keys_after(
+                                    mysql_table,
+                                    after_key=last_key,
+                                    min_mysql_id=max_mysql_id,
+                                    limit=1,
+                                    offset=1000
+                                )
+                                if test_batch:
+                                    logger.info(f"[DRY RUN] Estimated: More than 1000 new keys to migrate")
+                                else:
+                                    logger.info(f"[DRY RUN] Estimated: Between 100-1000 new keys to migrate")
+                            else:
+                                logger.info(f"[DRY RUN] Found {len(sample_keys)} new keys to migrate")
+
+                            logger.info("[DRY RUN] First 3 keys:")
+                            for i, key in enumerate(sample_keys[:3]):
+                                logger.info(
+                                    f"  {i+1}. ({key.get('UnitName')}, {key.get('ToolNameID')}, "
+                                    f"{key.get('EventDate')}, {key.get('EventTime')})"
+                                )
+                            logger.info(
+                                f"[DRY RUN] Run without --dry-run to perform actual migration"
+                            )
+                            # Return a positive number to indicate there's data to migrate
+                            return len(sample_keys)
+                        else:
+                            logger.info("[DRY RUN] No new keys found - database is up to date")
+                            return 0
+
+                    # Migrate new keys
+                    migrated_rows = 0
+                    offset = 0
+                    insert_buffer = []
+                    buffer_size = self.settings.migration.consolidation_group_limit // 10
+
+                    with ProgressTracker(
+                        total=None,  # Unknown total
+                        description=f"Incremental migration of {mysql_table}"
+                    ) as progress:
+
+                        # Get column order for PostgreSQL insert
+                        pg_columns = self._get_pg_columns()
+
+                        while True:
+                            # Fetch batch of consolidation keys AFTER last_key
+                            logger.debug(f"Fetching keys after last_key with offset={offset}")
+                            keys = mysql_conn.fetch_consolidation_keys_after(
+                                mysql_table,
+                                after_key=last_key,
+                                min_mysql_id=max_mysql_id,
+                                limit=self.settings.migration.consolidation_group_limit,
+                                offset=offset
+                            )
+
+                            if not keys:
+                                logger.info("No more new keys to migrate")
+                                break
+
+                            logger.info(f"Processing {len(keys)} new keys (offset={offset})")
+
+                            # Process each consolidation key
+                            keys_processed = 0
+                            for key in keys:
+                                keys_processed += 1
+                                # Log progress every 1000 keys
+                                if keys_processed % 1000 == 0:
+                                    logger.info(f"  Processed {keys_processed}/{len(keys)} keys in this batch...")
+                                unit_name = key.get("UnitName")
+                                tool_name_id = key.get("ToolNameID")
+                                event_date = key.get("EventDate")
+                                event_time = key.get("EventTime")
+
+                                # Fetch all MySQL rows for this key (all nodes, all partitions)
+                                mysql_rows = mysql_conn.fetch_records_for_key_all_partitions(
+                                    mysql_table,
+                                    unit_name,
+                                    tool_name_id,
+                                    event_date,
+                                    event_time
+                                )
+
+                                if not mysql_rows:
+                                    logger.warning(
+                                        f"No records found for key: "
+                                        f"({unit_name}, {tool_name_id}, {event_date}, {event_time})"
+                                    )
+                                    continue
+
+                                # Consolidate into single PostgreSQL row
+                                try:
+                                    pg_row = consolidate_rows(self.table, mysql_rows)
+                                except Exception as e:
+                                    logger.error(
+                                        f"Failed to consolidate key "
+                                        f"({unit_name}, {tool_name_id}, {event_date}, {event_time}): {e}"
+                                    )
+                                    continue
+
+                                # Add to insert buffer
+                                insert_buffer.append(pg_row)
+
+                                # Flush buffer when full
+                                if len(insert_buffer) >= buffer_size:
+                                    # Use COPY with ON CONFLICT to handle duplicates
+                                    inserted = pg_conn.copy_from_with_conflict(
+                                        pg_table,
+                                        insert_buffer,
+                                        pg_columns,
+                                        conflict_columns=["unit_name", "tool_name_id", "event_timestamp", "event_year"]
+                                    )
+                                    migrated_rows += inserted
+                                    progress.update(inserted)
+
+                                    # Update state with last key
+                                    last_processed_key = {
+                                        "unit_name": unit_name,
+                                        "tool_name_id": tool_name_id,
+                                        "event_date": str(event_date) if event_date else None,
+                                        "event_time": str(event_time) if event_time else None,
+                                    }
+                                    state_mgr.update_state(
+                                        last_key=last_processed_key,
+                                        total_rows_migrated=state_mgr.get_total_rows_migrated() + migrated_rows
+                                    )
+
+                                    logger.debug(
+                                        f"Flushed {inserted} rows, total new: {migrated_rows}"
+                                    )
+                                    insert_buffer = []
+
+                            # Move to next batch of keys
+                            offset += len(keys)
+
+                            # If we got fewer keys than requested, we're done
+                            if len(keys) < self.settings.migration.consolidation_group_limit:
+                                break
+
+                        # Flush remaining buffer
+                        if insert_buffer:
+                            # Use COPY with ON CONFLICT to handle duplicates
+                            inserted = pg_conn.copy_from_with_conflict(
+                                pg_table,
+                                insert_buffer,
+                                pg_columns,
+                                conflict_columns=["unit_name", "tool_name_id", "event_timestamp", "event_year"]
+                            )
+                            migrated_rows += inserted
+                            progress.update(inserted)
+                            logger.debug(f"Final flush: {inserted} rows")
+
+                    # Get final row count
+                    final_count = pg_conn.get_row_count(pg_table)
+                    logger.info(f"Total PostgreSQL rows: {final_count}")
+
+                    logger.info(
+                        f"✓ Incremental migration complete: "
+                        f"{migrated_rows} new rows migrated to {pg_table}"
+                    )
+
+                    return migrated_rows
+
+        except Exception as e:
+            logger.error(f"Incremental migration failed: {e}")
+            raise
+
+    def _get_pg_columns(self) -> list[str]:
+        """Get PostgreSQL column names in insertion order.
+
+        Returns:
+            List of column names
+        """
+        # Base columns for both tables
+        columns = [
+            "mysql_max_id",
+            "unit_name",
+            "tool_name_id",
+            "event_timestamp",
+            "event_year",
+            "measurements",
+        ]
+
+        # Add table-specific columns
+        if self.table == "RAWDATACOR":
+            columns.extend([
+                "bat_level",
+                "temperature",
+                "bat_level_module",
+                "temperature_module",
+                "rssi_module",
+                "created_at",
+            ])
+        elif self.table == "ELABDATADISP":
+            columns.extend([
+                "created_at",
+                "updated_at",
+            ])
+
+        return columns
+
+
+def run_incremental_migration(
+    table: str,
+    dry_run: bool = False
+) -> int:
+    """Run incremental migration for a table.
+
+    Args:
+        table: Table name to migrate (RAWDATACOR or ELABDATADISP)
+        dry_run: If True, show what would be done without modifying data
+
+    Returns:
+        Number of rows migrated
+    """
+    migrator = IncrementalMigrator(table)
+    return migrator.migrate(dry_run=dry_run)

src/migrator/parallel_migrator.py

@@ -0,0 +1,220 @@
+"""Parallel migration orchestrator for MySQL to PostgreSQL.
+
+Runs multiple partition migrations in parallel using multiprocessing.
+Each process migrates a different partition independently.
+"""
+import multiprocessing as mp
+from typing import Optional, List
+import sys
+
+from config import get_settings, TABLE_CONFIGS
+from src.connectors.mysql_connector import MySQLConnector
+from src.connectors.postgres_connector import PostgreSQLConnector
+from src.migrator.partition_migrator import PartitionMigrator
+from src.migrator.state_manager import StateManager
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+def migrate_partition_worker(table: str, partition_name: str, dry_run: bool = False, resume: bool = False) -> tuple[str, int, bool]:
+    """Worker function to migrate a single partition.
+
+    Runs in a separate process.
+
+    Args:
+        table: Table name (RAWDATACOR or ELABDATADISP)
+        partition_name: Partition to migrate
+        dry_run: If True, simulate without writing
+        resume: If True, resume from last checkpoint if exists
+
+    Returns:
+        Tuple of (partition_name, rows_migrated, success)
+    """
+    # Configure logging for this worker process (multiprocessing requires per-process setup)
+    # Set up root logger so all child loggers (PartitionMigrator, ProgressTracker, etc.) work
+    from src.utils.logger import setup_logger
+    setup_logger("")  # Configure root logger for this process
+
+    # Now get a logger for this worker
+    from src.utils.logger import get_logger
+    worker_logger = get_logger(f"worker.{partition_name}")
+
+    try:
+        resume_msg = " (resuming)" if resume else ""
+        worker_logger.info(f"Worker starting: {partition_name}{resume_msg}")
+
+        with MySQLConnector() as mysql_conn:
+            with PostgreSQLConnector() as pg_conn:
+                migrator = PartitionMigrator(table)
+                rows = migrator.migrate_partition(
+                    mysql_conn,
+                    pg_conn,
+                    partition_name,
+                    dry_run=dry_run,
+                    resume=resume
+                )
+
+                worker_logger.info(f"Worker completed: {partition_name} ({rows} rows)")
+                return (partition_name, rows, True)
+
+    except Exception as e:
+        worker_logger.error(f"Worker failed for {partition_name}: {e}")
+        return (partition_name, 0, False)
+
+
+class ParallelMigrator:
+    """Orchestrate parallel migration of multiple partitions."""
+
+    def __init__(self, table: str):
+        """Initialize parallel migrator.
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+        """
+        if table.upper() not in ("RAWDATACOR", "ELABDATADISP"):
+            raise ValueError(f"Unknown table: {table}")
+
+        self.table = table.upper()
+        self.config = TABLE_CONFIGS[self.table]
+        self.settings = get_settings()
+
+    def migrate(
+        self,
+        num_workers: int = 5,
+        dry_run: bool = False,
+        resume: bool = False
+    ) -> int:
+        """Perform parallel migration of all partitions.
+
+        Args:
+            num_workers: Number of parallel workers
+            dry_run: If True, log what would be done without modifying data
+            resume: If True, skip already completed partitions
+
+        Returns:
+            Total number of PostgreSQL rows migrated
+        """
+        mysql_table = self.config["mysql_table"]
+        pg_table = self.config["postgres_table"]
+
+        logger.info(
+            f"Starting parallel migration of {mysql_table} -> {pg_table} "
+            f"with {num_workers} workers"
+        )
+
+        try:
+            with MySQLConnector() as mysql_conn:
+                with PostgreSQLConnector() as pg_conn:
+                    # Check PostgreSQL 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."
+                        )
+
+                    # Get all partitions
+                    all_partitions = mysql_conn.get_table_partitions(mysql_table)
+                    logger.info(f"Found {len(all_partitions)} partitions: {all_partitions}")
+
+                    # Filter out completed partitions if resuming
+                    partitions_to_migrate = all_partitions
+                    if resume:
+                        state_mgr = StateManager(pg_conn, pg_table, "_global")
+                        completed = state_mgr.get_completed_partitions()
+                        if completed:
+                            partitions_to_migrate = [p for p in all_partitions if p not in completed]
+                            logger.info(
+                                f"Resuming: {len(completed)} partitions already completed, "
+                                f"{len(partitions_to_migrate)} remaining"
+                            )
+
+                    if not partitions_to_migrate:
+                        logger.info("All partitions already migrated")
+                        return 0
+
+                    if dry_run:
+                        logger.info(
+                            f"[DRY RUN] Would migrate {len(partitions_to_migrate)} partitions "
+                            f"in parallel with {num_workers} workers"
+                        )
+                        return 0
+
+            # Run migrations in parallel using multiprocessing pool
+            logger.info(f"Launching {num_workers} worker processes...")
+
+            with mp.Pool(processes=num_workers) as pool:
+                # Create tasks for each partition
+                tasks = [
+                    (self.table, partition_name, dry_run, resume)
+                    for partition_name in partitions_to_migrate
+                ]
+
+                # Run migrations in parallel
+                results = pool.starmap(migrate_partition_worker, tasks)
+
+            # Collect results
+            total_migrated = 0
+            failed_partitions = []
+
+            for partition_name, rows, success in results:
+                if success:
+                    total_migrated += rows
+                    logger.info(f"✓ {partition_name}: {rows} rows")
+                else:
+                    failed_partitions.append(partition_name)
+                    logger.error(f"✗ {partition_name}: FAILED")
+
+            if failed_partitions:
+                raise Exception(
+                    f"Migration failed for {len(failed_partitions)} partitions: "
+                    f"{', '.join(failed_partitions)}"
+                )
+
+            # Only mark global migration complete if ALL partitions are completed
+            with PostgreSQLConnector() as pg_conn:
+                final_count = pg_conn.get_row_count(pg_table)
+                global_state_mgr = StateManager(pg_conn, pg_table, "_global")
+
+                # Verify all partitions are actually completed
+                completed = global_state_mgr.get_completed_partitions()
+                in_progress = global_state_mgr.get_in_progress_partitions()
+
+                if len(in_progress) == 0:
+                    # All partitions completed successfully
+                    global_state_mgr.mark_completed(final_count)
+                    logger.info(
+                        f"✓ Parallel migration complete: {final_count} total rows in {pg_table}"
+                    )
+                else:
+                    logger.warning(
+                        f"Migration finished but {len(in_progress)} partitions still in-progress: {in_progress}. "
+                        f"Not marking global as completed."
+                    )
+
+            return final_count
+
+        except Exception as e:
+            logger.error(f"Parallel migration failed: {e}")
+            raise
+
+
+def run_parallel_migration(
+    table: str,
+    num_workers: int = 5,
+    dry_run: bool = False,
+    resume: bool = False
+) -> int:
+    """Run parallel migration for a table.
+
+    Args:
+        table: Table name to migrate (RAWDATACOR or ELABDATADISP)
+        num_workers: Number of parallel workers
+        dry_run: If True, show what would be done without modifying data
+        resume: If True, skip already completed partitions
+
+    Returns:
+        Number of rows migrated
+    """
+    migrator = ParallelMigrator(table)
+    return migrator.migrate(num_workers=num_workers, dry_run=dry_run, resume=resume)

src/migrator/partition_migrator.py

@@ -0,0 +1,355 @@
+"""Partition-based migration for MySQL to PostgreSQL.
+
+Streaming Strategy:
+1. Stream all rows from partition ordered by consolidation key (single query)
+2. Group rows by consolidation key as they arrive
+3. Validate and consolidate each group
+4. Batch insert using PostgreSQL COPY (10-100x faster than INSERT)
+5. Log invalid keys to error file
+6. Update migration state periodically with resume support
+"""
+from typing import Optional, List, Dict, Any
+from datetime import datetime
+
+from config import get_settings, TABLE_CONFIGS
+from src.connectors.mysql_connector import MySQLConnector
+from src.connectors.postgres_connector import PostgreSQLConnector
+from src.migrator.consolidator import consolidate_rows
+from src.migrator.state_manager import StateManager
+from src.utils.logger import get_logger
+from src.utils.progress import ProgressTracker
+from src.utils.validation import validate_consolidation_key, ErrorLogger
+
+logger = get_logger(__name__)
+
+
+class PartitionMigrator:
+    """Migrate a single MySQL partition to PostgreSQL with consolidation."""
+
+    def __init__(self, table: str):
+        """Initialize partition migrator.
+
+        Args:
+            table: Table name (RAWDATACOR or ELABDATADISP)
+        """
+        if table.upper() not in ("RAWDATACOR", "ELABDATADISP"):
+            raise ValueError(f"Unknown table: {table}")
+
+        self.table = table.upper()
+        self.config = TABLE_CONFIGS[self.table]
+        self.settings = get_settings()
+
+    def migrate_partition_streaming(
+        self,
+        mysql_conn: MySQLConnector,
+        pg_conn: PostgreSQLConnector,
+        partition_name: str,
+        dry_run: bool = False,
+        resume: bool = False
+    ) -> int:
+        """Migrate a partition using streaming (OPTIMIZED - eliminates N+1 queries).
+
+        This method streams all rows from the partition in a single query,
+        groups them by consolidation key, and uses PostgreSQL COPY for fast inserts.
+
+        Performance improvement: 10-100x faster than old N+1 query approach.
+
+        Args:
+            mysql_conn: MySQL connector (already connected)
+            pg_conn: PostgreSQL connector (already connected)
+            partition_name: MySQL partition name (e.g., 'p2024')
+            dry_run: If True, log what would be done without modifying data
+            resume: If True, resume from last checkpoint
+
+        Returns:
+            Number of PostgreSQL rows inserted (consolidated)
+        """
+        mysql_table = self.config["mysql_table"]
+        pg_table = self.config["postgres_table"]
+
+        logger.info(f"Starting STREAMING migration of partition {partition_name} from {mysql_table}")
+
+        # Initialize state manager for this partition
+        state_mgr = StateManager(pg_conn, pg_table, partition_name)
+
+        # Initialize error logger
+        error_logger = ErrorLogger(pg_table, partition_name)
+
+        # Check resume state
+        resume_from_key = None
+        start_key_tuple = None
+        if resume:
+            last_key = state_mgr.get_last_key()
+            if last_key:
+                resume_from_key = last_key
+                # Convert to tuple for MySQL query
+                start_key_tuple = (
+                    last_key.get("unit_name"),
+                    last_key.get("tool_name_id"),
+                    last_key.get("event_date"),
+                    last_key.get("event_time")
+                )
+                logger.info(
+                    f"Resuming AFTER last key: "
+                    f"({start_key_tuple[0]}, {start_key_tuple[1]}, "
+                    f"{start_key_tuple[2]}, {start_key_tuple[3]})"
+                )
+
+        if dry_run:
+            logger.info(f"[DRY RUN] Would stream partition {partition_name}")
+            return 0
+
+        # Track migration
+        state_mgr.mark_in_progress()
+        migrated_rows = 0
+        insert_buffer = []
+        buffer_size = 10000  # Larger buffer for COPY performance
+
+        # Get column order for PostgreSQL insert
+        pg_columns = self._get_pg_columns()
+
+        # Group rows by consolidation key
+        current_group: List[Dict[str, Any]] = []
+        current_key = None
+        rows_processed = 0
+
+        migration_completed = False
+        try:
+            with ProgressTracker(
+                total=None,  # Unknown total
+                description=f"Streaming {mysql_table} partition {partition_name}"
+            ) as progress:
+
+                # Use fetch_consolidation_groups_from_partition with start_key for efficient resume
+                # MySQL will skip all keys <= start_key using WHERE clause (no unnecessary data transfer)
+                for group in mysql_conn.fetch_consolidation_groups_from_partition(
+                    mysql_table,
+                    partition_name,
+                    limit=self.settings.migration.consolidation_group_limit,
+                    offset=0,
+                    start_key=start_key_tuple  # Resume AFTER this key
+                ):
+                    rows_processed += len(group)
+
+                    # Extract consolidation key from first row
+                    if not group:
+                        continue
+
+                    first_row = group[0]
+                    key = (
+                        first_row.get("UnitName"),
+                        first_row.get("ToolNameID"),
+                        first_row.get("EventDate"),
+                        first_row.get("EventTime")
+                    )
+
+                    # No need to skip here anymore - MySQL query already handles resume
+                    # (keys are filtered in the database with WHERE clause)
+
+                    # Validate and process group
+                    self._process_group(
+                        group,
+                        key,
+                        insert_buffer,
+                        buffer_size,
+                        pg_conn,
+                        pg_table,
+                        pg_columns,
+                        state_mgr,
+                        error_logger,
+                        progress
+                    )
+
+                    # Update migrated count
+                    if len(insert_buffer) == 0:  # Just flushed
+                        migrated_rows = state_mgr.get_state().get("total_rows_migrated", migrated_rows)
+
+                # Flush remaining buffer
+                if insert_buffer:
+                    inserted = pg_conn.copy_from_with_conflict(
+                        pg_table,
+                        insert_buffer,
+                        pg_columns,
+                        conflict_columns=["unit_name", "tool_name_id", "event_timestamp", "event_year"]
+                    )
+                    migrated_rows += inserted
+                    progress.update(inserted)
+                    logger.debug(f"Final flush: {inserted} rows")
+
+            # If we reach here, migration completed successfully
+            migration_completed = True
+
+        finally:
+            # Close error logger
+            error_logger.close()
+
+            # Only mark as completed if migration actually finished
+            if migration_completed:
+                state_mgr.update_state(
+                    total_rows_migrated=migrated_rows,
+                    status="completed",
+                    mark_completed=True
+                )
+            else:
+                # Migration was interrupted - save progress but keep status as in_progress
+                logger.warning(f"Migration of partition {partition_name} was interrupted")
+                state_mgr.update_state(
+                    total_rows_migrated=migrated_rows,
+                    status="in_progress"
+                )
+
+        logger.info(
+            f"✓ Partition {partition_name} STREAMING migration complete: "
+            f"{migrated_rows} PostgreSQL rows inserted, "
+            f"{rows_processed} MySQL rows processed, "
+            f"{error_logger.get_error_count()} invalid keys skipped"
+        )
+
+        return migrated_rows
+
+    def _process_group(
+        self,
+        mysql_rows: List[Dict[str, Any]],
+        key: tuple,
+        insert_buffer: List[Dict[str, Any]],
+        buffer_size: int,
+        pg_conn: PostgreSQLConnector,
+        pg_table: str,
+        pg_columns: List[str],
+        state_mgr: StateManager,
+        error_logger: ErrorLogger,
+        progress: ProgressTracker
+    ) -> None:
+        """Process a consolidation group: validate, consolidate, and buffer.
+
+        Args:
+            mysql_rows: List of MySQL rows with same consolidation key
+            key: Consolidation key tuple (unit_name, tool_name_id, event_date, event_time)
+            insert_buffer: Buffer to add consolidated row to
+            buffer_size: Max buffer size before flush
+            pg_conn: PostgreSQL connector
+            pg_table: PostgreSQL table name
+            pg_columns: Column names for insert
+            state_mgr: State manager
+            error_logger: Error logger
+            progress: Progress tracker
+        """
+        unit_name, tool_name_id, event_date, event_time = key
+
+        # Validate consolidation key
+        is_valid, error_reason = validate_consolidation_key(
+            unit_name, tool_name_id, event_date, event_time
+        )
+
+        if not is_valid:
+            # Log invalid key and skip
+            error_logger.log_invalid_key(
+                unit_name, tool_name_id, event_date, event_time, error_reason
+            )
+            return
+
+        # Consolidate into single PostgreSQL row
+        try:
+            pg_row = consolidate_rows(self.table, mysql_rows)
+        except Exception as e:
+            logger.error(
+                f"Failed to consolidate key "
+                f"({unit_name}, {tool_name_id}, {event_date}, {event_time}): {e}"
+            )
+            error_logger.log_invalid_key(
+                unit_name, tool_name_id, event_date, event_time,
+                f"Consolidation failed: {e}"
+            )
+            return
+
+        # Add to insert buffer
+        insert_buffer.append(pg_row)
+
+        # Flush buffer when full
+        if len(insert_buffer) >= buffer_size:
+            # Use COPY with ON CONFLICT to handle UNIQUE constraint
+            # (unit_name, tool_name_id, event_timestamp, event_year)
+            inserted = pg_conn.copy_from_with_conflict(
+                pg_table,
+                insert_buffer,
+                pg_columns,
+                conflict_columns=["unit_name", "tool_name_id", "event_timestamp", "event_year"]
+            )
+            progress.update(inserted)
+
+            # Update state with last key
+            last_processed_key = {
+                "unit_name": unit_name,
+                "tool_name_id": tool_name_id,
+                "event_date": str(event_date) if event_date else None,
+                "event_time": str(event_time) if event_time else None,
+            }
+            current_total = state_mgr.get_state().get("total_rows_migrated", 0)
+            state_mgr.update_state(
+                last_key=last_processed_key,
+                total_rows_migrated=current_total + inserted
+            )
+
+            logger.debug(
+                f"Flushed {inserted} rows using COPY, "
+                f"total migrated: {current_total + inserted}"
+            )
+            insert_buffer.clear()
+
+    def migrate_partition(
+        self,
+        mysql_conn: MySQLConnector,
+        pg_conn: PostgreSQLConnector,
+        partition_name: str,
+        dry_run: bool = False,
+        resume: bool = False
+    ) -> int:
+        """Migrate a single partition from MySQL to PostgreSQL using streaming.
+
+        Args:
+            mysql_conn: MySQL connector (already connected)
+            pg_conn: PostgreSQL connector (already connected)
+            partition_name: MySQL partition name (e.g., 'p2024')
+            dry_run: If True, log what would be done without modifying data
+            resume: If True, resume from last checkpoint
+
+        Returns:
+            Number of PostgreSQL rows inserted (consolidated)
+        """
+        return self.migrate_partition_streaming(
+            mysql_conn, pg_conn, partition_name, dry_run, resume
+        )
+
+    def _get_pg_columns(self) -> list[str]:
+        """Get PostgreSQL column names in insertion order.
+
+        Returns:
+            List of column names
+        """
+        # Base columns for both tables
+        columns = [
+            "mysql_max_id",
+            "unit_name",
+            "tool_name_id",
+            "event_timestamp",
+            "event_year",
+            "measurements",
+        ]
+
+        # Add table-specific columns
+        if self.table == "RAWDATACOR":
+            columns.extend([
+                "bat_level",
+                "temperature",
+                "bat_level_module",
+                "temperature_module",
+                "rssi_module",
+                "created_at",
+            ])
+        elif self.table == "ELABDATADISP":
+            columns.extend([
+                "created_at",
+                "updated_at",
+            ])
+
+        return columns

src/migrator/state_manager.py

@@ -0,0 +1,347 @@
+"""Migration state management using PostgreSQL migration_state table.
+
+Tracks migration progress with:
+- last_key: Last consolidation key migrated (UnitName, ToolNameID, EventDate, EventTime)
+- last_completed_partition: Last partition that was fully migrated
+- total_rows_migrated: Count of PostgreSQL rows (consolidated)
+- status: pending, in_progress, completed
+"""
+from typing import Optional, Dict, Any
+from datetime import datetime
+import json
+
+from src.connectors.postgres_connector import PostgreSQLConnector
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class StateManager:
+    """Manage migration state in PostgreSQL migration_state table.
+
+    Supports per-partition state tracking for parallel migration.
+    """
+
+    def __init__(self, pg_conn: PostgreSQLConnector, table_name: str, partition_name: str = "_global"):
+        """Initialize state manager.
+
+        Args:
+            pg_conn: PostgreSQL connector
+            table_name: PostgreSQL table name (rawdatacor or elabdatadisp)
+            partition_name: MySQL partition name (e.g., 'd0', 'part0') or '_global' for global state
+        """
+        self.pg_conn = pg_conn
+        self.table_name = table_name
+        self.partition_name = partition_name
+
+    def get_last_key(self) -> Optional[Dict[str, Any]]:
+        """Get last consolidation key that was migrated for this partition.
+
+        Returns:
+            Dict with keys: unit_name, tool_name_id, event_date, event_time
+            Or None if no previous migration
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                cursor.execute(
+                    "SELECT last_key FROM migration_state WHERE table_name = %s AND partition_name = %s",
+                    (self.table_name, self.partition_name)
+                )
+                result = cursor.fetchone()
+                if result and result[0]:
+                    # last_key is stored as JSONB, psycopg returns it as dict
+                    return result[0]
+                return None
+        except Exception as e:
+            logger.debug(f"Could not get last_key from migration_state: {e}")
+            return None
+
+    def get_total_rows_migrated(self) -> int:
+        """Get total rows migrated for this partition.
+
+        Returns:
+            Count of PostgreSQL rows (consolidated)
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                cursor.execute(
+                    "SELECT total_rows_migrated FROM migration_state WHERE table_name = %s AND partition_name = %s",
+                    (self.table_name, self.partition_name)
+                )
+                result = cursor.fetchone()
+                return result[0] if result and result[0] else 0
+        except Exception as e:
+            logger.debug(f"Could not get total_rows_migrated from migration_state: {e}")
+            return 0
+
+    def get_status(self) -> str:
+        """Get migration status for this partition.
+
+        Returns:
+            Status string: pending, in_progress, or completed
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                cursor.execute(
+                    "SELECT status FROM migration_state WHERE table_name = %s AND partition_name = %s",
+                    (self.table_name, self.partition_name)
+                )
+                result = cursor.fetchone()
+                return result[0] if result and result[0] else "pending"
+        except Exception as e:
+            logger.debug(f"Could not get status from migration_state: {e}")
+            return "pending"
+
+    def get_state(self) -> Dict[str, Any]:
+        """Get complete migration state for this partition.
+
+        Returns:
+            Dict with keys: last_key, total_rows_migrated, status, migration_completed_at
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                cursor.execute(
+                    "SELECT last_key, total_rows_migrated, status, migration_completed_at "
+                    "FROM migration_state WHERE table_name = %s AND partition_name = %s",
+                    (self.table_name, self.partition_name)
+                )
+                result = cursor.fetchone()
+                if result:
+                    return {
+                        "last_key": result[0],
+                        "total_rows_migrated": result[1] if result[1] else 0,
+                        "status": result[2] if result[2] else "pending",
+                        "migration_completed_at": result[3]
+                    }
+                return {
+                    "last_key": None,
+                    "total_rows_migrated": 0,
+                    "status": "pending",
+                    "migration_completed_at": None
+                }
+        except Exception as e:
+            logger.debug(f"Could not get state from migration_state: {e}")
+            return {
+                "last_key": None,
+                "total_rows_migrated": 0,
+                "status": "pending",
+                "migration_completed_at": None
+            }
+
+    def get_completed_partitions(self) -> list[str]:
+        """Get list of all completed partitions for this table.
+
+        Returns:
+            List of partition names that have been completed
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                cursor.execute(
+                    "SELECT partition_name FROM migration_state WHERE table_name = %s AND status = 'completed'",
+                    (self.table_name,)
+                )
+                results = cursor.fetchall()
+                return [row[0] for row in results if row[0] != "_global"]
+        except Exception as e:
+            logger.debug(f"Could not get completed partitions from migration_state: {e}")
+            return []
+
+    def get_in_progress_partitions(self) -> list[str]:
+        """Get list of all in-progress partitions for this table.
+
+        Returns:
+            List of partition names that are currently in progress
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                cursor.execute(
+                    "SELECT partition_name FROM migration_state WHERE table_name = %s AND status = 'in_progress'",
+                    (self.table_name,)
+                )
+                results = cursor.fetchall()
+                return [row[0] for row in results if row[0] != "_global"]
+        except Exception as e:
+            logger.debug(f"Could not get in-progress partitions from migration_state: {e}")
+            return []
+
+    def update_state(
+        self,
+        last_key: Optional[Dict[str, Any]] = None,
+        total_rows_migrated: Optional[int] = None,
+        status: Optional[str] = None,
+        mark_completed: bool = False
+    ) -> None:
+        """Update migration state for this partition.
+
+        Args:
+            last_key: Last consolidation key migrated
+            total_rows_migrated: Total PostgreSQL rows migrated for this partition
+            status: Migration status (pending, in_progress, completed)
+            mark_completed: If True, mark migration as completed with timestamp
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                # Build dynamic UPDATE based on provided parameters
+                updates = []
+                params = []
+
+                if last_key is not None:
+                    updates.append("last_key = %s::jsonb")
+                    params.append(json.dumps(last_key))
+
+                if total_rows_migrated is not None:
+                    updates.append("total_rows_migrated = %s")
+                    params.append(total_rows_migrated)
+
+                if status is not None:
+                    updates.append("status = %s")
+                    params.append(status)
+
+                if mark_completed:
+                    updates.append("migration_completed_at = %s")
+                    params.append(datetime.utcnow())
+                    if status is None:
+                        updates.append("status = 'completed'")
+
+                if not updates:
+                    logger.warning("update_state called with no parameters to update")
+                    return
+
+                # Upsert: INSERT or UPDATE
+                query = f"""
+                    INSERT INTO migration_state (table_name, partition_name, {', '.join([u.split('=')[0].strip() for u in updates])})
+                    VALUES (%s, %s, {', '.join(['%s'] * len(updates))})
+                    ON CONFLICT (table_name, partition_name) DO UPDATE SET
+                        {', '.join(updates)}
+                """
+
+                all_params = [self.table_name, self.partition_name] + params + params
+                cursor.execute(query, tuple(all_params))
+                self.pg_conn.connection.commit()
+
+                logger.debug(
+                    f"Migration state updated for {self.table_name}/{self.partition_name}: "
+                    f"last_key={last_key}, total={total_rows_migrated}, status={status}"
+                )
+
+        except Exception as e:
+            logger.error(f"Failed to update migration state: {e}")
+            self.pg_conn.connection.rollback()
+            raise
+
+    def reset_state(self) -> None:
+        """Reset migration state for this partition.
+
+        Deletes the state record for this specific partition.
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                cursor.execute(
+                    "DELETE FROM migration_state WHERE table_name = %s AND partition_name = %s",
+                    (self.table_name, self.partition_name)
+                )
+                self.pg_conn.connection.commit()
+                logger.info(f"Migration state reset for {self.table_name}/{self.partition_name}")
+        except Exception as e:
+            logger.error(f"Failed to reset migration state: {e}")
+            self.pg_conn.connection.rollback()
+            raise
+
+    def mark_in_progress(self) -> None:
+        """Mark migration as in progress."""
+        self.update_state(status="in_progress")
+
+    def mark_completed(self, total_rows: int) -> None:
+        """Mark migration as completed.
+
+        Args:
+            total_rows: Final count of migrated rows
+        """
+        self.update_state(
+            total_rows_migrated=total_rows,
+            status="completed",
+            mark_completed=True
+        )
+
+    def get_max_last_key_across_partitions(self) -> Optional[Dict[str, Any]]:
+        """Get the maximum (latest) last_key across all partitions for this table.
+
+        Used when completing full migration to set the global last_key for incremental migration.
+
+        The consolidation key ordering is: (UnitName, ToolNameID, EventDate, EventTime)
+        To find the maximum, we order by these fields in DESC order.
+
+        Returns:
+            The latest last_key across all partitions, or None if no partitions have keys
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                # Order by the full consolidation key (UnitName, ToolNameID, EventDate, EventTime) DESC
+                # This matches the ordering used in MySQL fetch_consolidation_keys_after
+                cursor.execute(
+                    """
+                    SELECT last_key
+                    FROM migration_state
+                    WHERE table_name = %s AND partition_name != '_global' AND last_key IS NOT NULL
+                    ORDER BY
+                        last_key->>'unit_name' DESC,
+                        last_key->>'tool_name_id' DESC,
+                        (last_key->>'event_date')::date DESC,
+                        (last_key->>'event_time')::time DESC
+                    LIMIT 1
+                    """,
+                    (self.table_name,)
+                )
+                result = cursor.fetchone()
+                if result and result[0]:
+                    return result[0]
+                return None
+        except Exception as e:
+            logger.debug(f"Could not get max last_key across partitions: {e}")
+            return None
+
+    def get_max_last_key_from_data(self) -> Optional[Dict[str, Any]]:
+        """Get the consolidation key of the most recent event in PostgreSQL.
+
+        This queries the target table directly (not migration_state) to find the row with
+        the maximum event_timestamp (most recent event), then returns its consolidation key.
+
+        We order by event_timestamp only (not the full consolidation key) because:
+        1. Ordering by unit_name can pick up corrupted data (Java error strings)
+        2. event_timestamp represents the actual chronological order of events
+        3. This avoids re-processing old data that happens to sort later alphabetically
+
+        Corrupted data (like '[Ljava.lang.String;@...' in unit_name) is explicitly excluded.
+
+        Returns:
+            The consolidation key of the most recent event, or None if table is empty
+        """
+        try:
+            with self.pg_conn.connection.cursor() as cursor:
+                # Find the row with maximum event_timestamp (most recent event)
+                # We use ONLY event_timestamp because ordering by unit_name can pick up
+                # corrupted data (like Java error strings) which sort incorrectly
+                cursor.execute(
+                    f"""
+                    SELECT unit_name, tool_name_id,
+                           DATE(event_timestamp)::text as event_date,
+                           event_timestamp::time::text as event_time,
+                           event_timestamp
+                    FROM {self.table_name}
+                    WHERE unit_name NOT LIKE '[L%'  -- Exclude corrupted Java strings
+                    ORDER BY event_timestamp DESC
+                    LIMIT 1
+                    """
+                )
+                result = cursor.fetchone()
+                if result:
+                    return {
+                        "unit_name": result[0],
+                        "tool_name_id": result[1],
+                        "event_date": result[2],
+                        "event_time": result[3]
+                    }
+                return None
+        except Exception as e:
+            logger.error(f"Could not get max last_key from data table {self.table_name}: {e}")
+            return None

src/transformers/schema_transformer.py

@@ -1,4 +1,12 @@
-"""PostgreSQL schema creation from MySQL structure."""
+"""PostgreSQL schema creation for MySQL to PostgreSQL migration.
+
+New design:
+- id: BIGSERIAL PRIMARY KEY (auto-increment)
+- mysql_max_id: max(idElabData) from consolidated MySQL records
+- event_timestamp: TIMESTAMP created from MySQL EventDate + EventTime
+- Consolidation key MySQL: (UnitName, ToolNameID, EventDate, EventTime)
+- NodeNum consolidated in measurements JSONB
+"""
 from config import PARTITION_YEARS
 from src.utils.logger import get_logger
 
@@ -8,31 +16,37 @@ logger = get_logger(__name__)
 def create_rawdatacor_schema() -> str:
     """Create PostgreSQL schema for RAWDATACOR table.
 
+    Schema design:
+    - id: Auto-increment primary key (PostgreSQL sequence)
+    - mysql_max_id: Max ID from MySQL records that were consolidated
+    - Consolidation: Multiple MySQL rows (different NodeNum) → 1 PostgreSQL row
+    - measurements JSONB structure:
+      {
+        "node_1": {"0": {"value": "123.45", "unit": "°C"}, ...},
+        "node_2": {"0": {"value": "67.89", "unit": "bar"}, ...},
+        ...
+      }
+
     Returns:
         SQL script to create the table with partitions
     """
     sql = """
--- Create sequence for id auto-increment
+-- Create RAWDATACOR table with partitioning by year
-CREATE SEQUENCE IF NOT EXISTS rawdatacor_id_seq;
-
--- Create RAWDATACOR table with partitioning
--- Note: node_num is stored in measurements JSONB, not as a separate column
 CREATE TABLE IF NOT EXISTS rawdatacor (
-    id BIGINT NOT NULL DEFAULT nextval('rawdatacor_id_seq'),
+    id bigint GENERATED BY DEFAULT AS IDENTITY,
-    unit_name VARCHAR(32),
+    mysql_max_id INTEGER,
-    tool_name_id VARCHAR(32) NOT NULL,
+    unit_name VARCHAR(50) NOT NULL,
+    tool_name_id VARCHAR(50) NOT NULL,
     event_timestamp TIMESTAMP NOT NULL,
-    bat_level NUMERIC(4,2) NOT NULL,
+    event_year smallint NOT NULL,
-    temperature NUMERIC(5,2) NOT NULL,
+    measurements JSONB NOT NULL,
-    measurements JSONB,
+    bat_level NUMERIC(4,2),
-    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+    temperature NUMERIC(5,2),
     bat_level_module NUMERIC(4,2),
     temperature_module NUMERIC(5,2),
-    rssi_module INTEGER
+    rssi_module INTEGER,
-) PARTITION BY RANGE (EXTRACT(YEAR FROM event_timestamp));
+    created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-
+) PARTITION BY RANGE (event_year);
--- Note: PostgreSQL doesn't support PRIMARY KEY or UNIQUE constraints
--- with RANGE partitioning on expressions. Using sequence for id auto-increment.
 
 -- Create partitions for each year
 """
@@ -54,21 +68,21 @@ CREATE TABLE IF NOT EXISTS rawdatacor_default
 
     # Add indexes
     sql += """
--- Create indexes
+-- Create indexes for efficient queries
-CREATE INDEX IF NOT EXISTS idx_unit_tool_datetime_raw
+-- UNIQUE constraint on (id, event_year) for partitioned table primary key
-    ON rawdatacor(unit_name, tool_name_id, event_timestamp);
+CREATE UNIQUE INDEX IF NOT EXISTS rawdatacor_pkey
+    ON rawdatacor(id, event_year);
 
-CREATE INDEX IF NOT EXISTS idx_unit_tool_raw
+-- UNIQUE constraint on consolidation key to prevent duplicates
+-- This is the key used to consolidate MySQL rows (UnitName, ToolNameID, EventDate, EventTime)
+CREATE UNIQUE INDEX IF NOT EXISTS rawdatacor_consolidation_key_unique
+    ON rawdatacor(unit_name, tool_name_id, event_timestamp, event_year);
+
+CREATE INDEX IF NOT EXISTS idx_rawdatacor_unit_tool
     ON rawdatacor(unit_name, tool_name_id);
 
-CREATE INDEX IF NOT EXISTS idx_measurements_gin_raw
+CREATE INDEX IF NOT EXISTS idx_rawdatacor_measurements_gin
     ON rawdatacor USING GIN (measurements);
-
-CREATE INDEX IF NOT EXISTS idx_event_timestamp_raw
-    ON rawdatacor(event_timestamp);
-
-CREATE INDEX IF NOT EXISTS idx_id_raw
-    ON rawdatacor(id);
 """
 
     return sql
@@ -77,27 +91,39 @@ CREATE INDEX IF NOT EXISTS idx_id_raw
 def create_elabdatadisp_schema() -> str:
     """Create PostgreSQL schema for ELABDATADISP table.
 
+    Schema design:
+    - id: Auto-increment primary key (PostgreSQL sequence)
+    - mysql_max_id: Max idElabData from MySQL records that were consolidated
+    - Consolidation: Multiple MySQL rows (different NodeNum) → 1 PostgreSQL row
+    - measurements JSONB structure:
+      {
+        "node_1": {
+          "shifts": {"x": 1.234, "y": 2.345, ...},
+          "coordinates": {"x": 10.123, "y": 20.234, ...},
+          "kinematics": {...},
+          "sensors": {...},
+          "calculated": {...}
+        },
+        "node_2": { ... },
+        ...
+      }
+
     Returns:
         SQL script to create the table with partitions
     """
     sql = """
--- Create sequence for id_elab_data auto-increment
+-- Create ELABDATADISP table with partitioning by year
-CREATE SEQUENCE IF NOT EXISTS elabdatadisp_id_seq;
-
--- Create ELABDATADISP table with partitioning
--- Note: node_num, state, and calc_err are stored in measurements JSONB, not as separate columns
 CREATE TABLE IF NOT EXISTS elabdatadisp (
-    id_elab_data BIGINT NOT NULL DEFAULT nextval('elabdatadisp_id_seq'),
+    id bigint GENERATED BY DEFAULT AS IDENTITY,
-    unit_name VARCHAR(32),
+    mysql_max_id INTEGER NOT NULL,
-    tool_name_id VARCHAR(32) NOT NULL,
+    unit_name VARCHAR(50),
+    tool_name_id VARCHAR(50),
     event_timestamp TIMESTAMP NOT NULL,
-    measurements JSONB,
+    event_year smallint NOT NULL,
+    measurements JSONB NOT NULL,
     created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
     updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
-) PARTITION BY RANGE (EXTRACT(YEAR FROM event_timestamp));
+) PARTITION BY RANGE (event_year);
-
--- Note: PostgreSQL doesn't support PRIMARY KEY or UNIQUE constraints
--- with RANGE partitioning on expressions. Using sequence for id_elab_data auto-increment.
 
 -- Create partitions for each year
 """
@@ -119,21 +145,21 @@ CREATE TABLE IF NOT EXISTS elabdatadisp_default
 
     # Add indexes
     sql += """
--- Create indexes
+-- Create indexes for efficient queries
-CREATE INDEX IF NOT EXISTS idx_unit_tool_datetime_elab
+-- UNIQUE constraint on (id, event_year) for partitioned table primary key
-    ON elabdatadisp(unit_name, tool_name_id, event_timestamp);
+CREATE UNIQUE INDEX IF NOT EXISTS elabdatadisp_pkey
+    ON elabdatadisp(id, event_year);
 
-CREATE INDEX IF NOT EXISTS idx_unit_tool_elab
+-- UNIQUE constraint on consolidation key to prevent duplicates
+-- This is the key used to consolidate MySQL rows (UnitName, ToolNameID, EventDate, EventTime)
+CREATE UNIQUE INDEX IF NOT EXISTS elabdatadisp_consolidation_key_unique
+    ON elabdatadisp(unit_name, tool_name_id, event_timestamp, event_year);
+
+CREATE INDEX IF NOT EXISTS idx_elabdatadisp_unit_tool
     ON elabdatadisp(unit_name, tool_name_id);
 
-CREATE INDEX IF NOT EXISTS idx_measurements_gin_elab
+CREATE INDEX IF NOT EXISTS idx_elabdatadisp_measurements_gin
     ON elabdatadisp USING GIN (measurements);
-
-CREATE INDEX IF NOT EXISTS idx_event_timestamp_elab
-    ON elabdatadisp(event_timestamp);
-
-CREATE INDEX IF NOT EXISTS idx_id_elab_data
-    ON elabdatadisp(id_elab_data);
 """
 
     return sql
@@ -142,21 +168,42 @@ CREATE INDEX IF NOT EXISTS idx_id_elab_data
 def create_migration_state_table() -> str:
     """Create table to track migration state.
 
+    Tracks migration progress per partition for parallel processing:
+    - table_name + partition_name: Composite primary key for per-partition tracking
+    - last_key: Last consolidated key migrated (unit_name, tool_name_id, event_date, event_time)
+    - total_rows_migrated: Count of PostgreSQL rows (consolidated) for this partition
+    - status: pending, in_progress, completed
+
     Returns:
         SQL to create migration_state table
     """
     sql = """
--- Create table to track migration state
+-- Create table to track migration state (supports parallel partition migration)
 CREATE TABLE IF NOT EXISTS migration_state (
-    table_name VARCHAR(255) PRIMARY KEY,
+    table_name VARCHAR(255) NOT NULL,
-    last_migrated_timestamp TIMESTAMP,
+    partition_name VARCHAR(255) NOT NULL,
-    last_migrated_id BIGINT,
+    last_key JSONB,
     migration_started_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
     migration_completed_at TIMESTAMP,
     total_rows_migrated BIGINT DEFAULT 0,
     status VARCHAR(32) DEFAULT 'pending',
-    last_completed_partition VARCHAR(255)
+    PRIMARY KEY (table_name, partition_name),
+    CONSTRAINT last_key_structure CHECK (
+        last_key IS NULL OR (
+            last_key ? 'unit_name' AND
+            last_key ? 'tool_name_id' AND
+            last_key ? 'event_date' AND
+            last_key ? 'event_time'
+        )
+    )
 );
+
+-- Index for querying migration state
+CREATE INDEX IF NOT EXISTS idx_migration_state_status
+    ON migration_state(table_name, status);
+
+CREATE INDEX IF NOT EXISTS idx_migration_state_partition
+    ON migration_state(partition_name);
 """
     return sql
 

src/utils/progress.py

@@ -1,73 +1,109 @@
-"""Progress tracking utility."""
+"""Progress tracking utility - lightweight logging version."""
-from rich.progress import (
-    Progress,
-    SpinnerColumn,
-    BarColumn,
-    TaskProgressColumn,
-    TimeRemainingColumn,
-    TimeElapsedColumn,
-    TransferSpeedColumn,
-)
-from rich.console import Console
 import time
+from typing import Optional
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
 
 
 class ProgressTracker:
-    """Track migration progress with Rich progress bar."""
+    """Track migration progress with periodic text logging (lightweight)."""
 
-    def __init__(self, total: int, description: str = "Migrating"):
+    def __init__(self, total: Optional[int] = None, description: str = "Migrating", log_interval: Optional[int] = None):
         """Initialize progress tracker.
 
         Args:
-            total: Total number of items to process
+            total: Total number of items to process (None if unknown)
             description: Description of the task
+            log_interval: Log progress every N items (if None, reads from config)
         """
         self.total = total
         self.description = description
-        self.progress = Progress(
+
-            SpinnerColumn(),
+        # Read log_interval from config if not provided
-            BarColumn(),
+        if log_interval is None:
-            TaskProgressColumn(),
+            from config import get_settings
-            TimeElapsedColumn(),
+            self.log_interval = get_settings().migration.progress_log_interval
-            TimeRemainingColumn(),
+        else:
-            TransferSpeedColumn(),
+            self.log_interval = log_interval
-            console=Console(),
+
-        )
-        self.task_id = None
         self.start_time = None
         self.processed = 0
+        self.last_log_count = 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()
+        logger.info(f"Starting: {self.description}")
         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 "
+            # Format elapsed time
-                f"in {elapsed:.2f}s ({rate:.0f} items/sec)[/green]"
+            if elapsed < 60:
-            )
+                elapsed_str = f"{elapsed:.1f}s"
+            elif elapsed < 3600:
+                elapsed_str = f"{elapsed/60:.1f}m"
+            else:
+                elapsed_str = f"{elapsed/3600:.1f}h"
+
+            if self.total is not None:
+                logger.info(
+                    f"✓ Completed: {self.processed:,}/{self.total:,} items "
+                    f"in {elapsed_str} ({rate:.0f} items/sec)"
+                )
+            else:
+                logger.info(
+                    f"✓ Completed: {self.processed:,} items "
+                    f"in {elapsed_str} ({rate:.0f} items/sec)"
+                )
 
     def update(self, advance: int = 1):
-        """Update progress.
+        """Update progress and log periodically.
 
         Args:
             advance: Number of items processed
         """
-        if self.task_id is not None:
+        self.processed += advance
-            self.progress.update(self.task_id, advance=advance)
+
-            self.processed += advance
+        # Log every log_interval items
+        if self.processed - self.last_log_count >= self.log_interval:
+            self._log_progress()
+            self.last_log_count = self.processed
+
+    def _log_progress(self):
+        """Log current progress."""
+        elapsed = time.time() - self.start_time
+        rate = self.processed / elapsed if elapsed > 0 else 0
+
+        # Format elapsed time
+        if elapsed < 60:
+            elapsed_str = f"{elapsed:.0f}s"
+        elif elapsed < 3600:
+            mins = int(elapsed / 60)
+            secs = int(elapsed % 60)
+            elapsed_str = f"{mins}m {secs}s"
+        else:
+            hours = int(elapsed / 3600)
+            mins = int((elapsed % 3600) / 60)
+            elapsed_str = f"{hours}h {mins}m"
+
+        if self.total is not None:
+            progress_pct = (self.processed / self.total) * 100
+            logger.info(
+                f"{self.description}: {self.processed:,}/{self.total:,} items "
+                f"({progress_pct:.1f}%) - elapsed: {elapsed_str} - rate: {rate:.0f} items/sec"
+            )
+        else:
+            logger.info(
+                f"{self.description}: {self.processed:,} items "
+                f"- elapsed: {elapsed_str} - rate: {rate:.0f} items/sec"
+            )
 
     def print_status(self, message: str):
-        """Print a status message without interrupting progress bar."""
+        """Print a status message."""
-        if self.task_id is not None:
+        logger.info(message)
-            self.progress.print(message)

src/utils/validation.py

@@ -0,0 +1,157 @@
+"""Data validation utilities for migration."""
+from typing import Dict, Any, Optional, Tuple
+from datetime import datetime, date
+import os
+from src.utils.logger import get_logger
+
+logger = get_logger(__name__)
+
+
+class ErrorLogger:
+    """Log invalid migration keys to a file."""
+
+    def __init__(self, table: str, partition: str):
+        """Initialize error logger.
+
+        Args:
+            table: Table name
+            partition: Partition name
+        """
+        self.table = table
+        self.partition = partition
+        self.error_file = f"migration_errors_{table}_{partition}.log"
+        self.error_count = 0
+
+        # Create error file with header
+        with open(self.error_file, "w") as f:
+            f.write(f"# Migration errors for {table} partition {partition}\n")
+            f.write("# Format: UnitName|ToolNameID|EventDate|EventTime|Reason\n\n")
+
+        logger.info(f"Error log file created: {self.error_file}")
+
+    def log_invalid_key(
+        self,
+        unit_name: Any,
+        tool_name_id: Any,
+        event_date: Any,
+        event_time: Any,
+        reason: str
+    ) -> None:
+        """Log an invalid consolidation key.
+
+        Args:
+            unit_name: UnitName value
+            tool_name_id: ToolNameID value
+            event_date: EventDate value
+            event_time: EventTime value
+            reason: Reason for rejection
+        """
+        with open(self.error_file, "a") as f:
+            f.write(f"{unit_name}|{tool_name_id}|{event_date}|{event_time}|{reason}\n")
+
+        self.error_count += 1
+
+        if self.error_count % 100 == 0:
+            logger.warning(f"Logged {self.error_count} invalid keys to {self.error_file}")
+
+    def get_error_count(self) -> int:
+        """Get total number of errors logged.
+
+        Returns:
+            Number of errors logged
+        """
+        return self.error_count
+
+    def close(self) -> None:
+        """Close error logger and log summary."""
+        if self.error_count > 0:
+            logger.warning(
+                f"Total invalid keys for {self.table} partition {self.partition}: "
+                f"{self.error_count} (see {self.error_file})"
+            )
+        else:
+            logger.info(f"No invalid keys found for {self.table} partition {self.partition}")
+            # Remove empty error file
+            if os.path.exists(self.error_file):
+                os.remove(self.error_file)
+
+
+def validate_consolidation_key(
+    unit_name: Any,
+    tool_name_id: Any,
+    event_date: Any,
+    event_time: Any
+) -> Tuple[bool, Optional[str]]:
+    """Validate a consolidation key.
+
+    Args:
+        unit_name: UnitName value
+        tool_name_id: ToolNameID value
+        event_date: EventDate value
+        event_time: EventTime value
+
+    Returns:
+        Tuple of (is_valid, error_reason)
+        If valid: (True, None)
+        If invalid: (False, "reason description")
+    """
+    # Check for NULL unit_name or tool_name_id
+    if unit_name is None or unit_name == "":
+        return False, "UnitName is NULL or empty"
+
+    if tool_name_id is None or tool_name_id == "":
+        return False, "ToolNameID is NULL or empty"
+
+    # Check for NULL or invalid dates
+    if event_date is None:
+        return False, "EventDate is NULL"
+
+    # Check for invalid date like '0000-00-00'
+    try:
+        if isinstance(event_date, str):
+            if event_date.startswith("0000-00-00"):
+                return False, f"EventDate is invalid: {event_date}"
+            # Try to parse
+            parsed_date = datetime.strptime(event_date, "%Y-%m-%d").date()
+        elif isinstance(event_date, (date, datetime)):
+            parsed_date = event_date if isinstance(event_date, date) else event_date.date()
+            # Check for zero date
+            if parsed_date.year == 0:
+                return False, f"EventDate year is 0: {event_date}"
+        else:
+            return False, f"EventDate has invalid type: {type(event_date)}"
+    except (ValueError, AttributeError) as e:
+        return False, f"EventDate parsing failed: {event_date} ({e})"
+
+    # Check for NULL event_time
+    if event_time is None:
+        return False, "EventTime is NULL"
+
+    return True, None
+
+
+def validate_mysql_row(row: Dict[str, Any]) -> Tuple[bool, Optional[str]]:
+    """Validate a complete MySQL row for migration.
+
+    Args:
+        row: MySQL row dictionary
+
+    Returns:
+        Tuple of (is_valid, error_reason)
+    """
+    # Validate consolidation key
+    is_valid, reason = validate_consolidation_key(
+        row.get("UnitName"),
+        row.get("ToolNameID"),
+        row.get("EventDate"),
+        row.get("EventTime")
+    )
+
+    if not is_valid:
+        return False, reason
+
+    # Check for NodeNum
+    if row.get("NodeNum") is None:
+        return False, "NodeNum is NULL"
+
+    return True, None