Исправление индикатора верхней границы

app/migrator.py

@@ -1429,7 +1429,7 @@ class DatabaseMigrator:
                         f"Таблица {pg_table} содержит {pg_count} строк без watermark — "
                         f"автоопределение watermark из {table_config.life_table}"
                     )
-                    detected = self._get_watermark_for_pg_data(table_config, find_min=True)
+                    detected = self._get_watermark_for_pg_data(table_config)
                     if detected['last_x_datetime'] is not None:
                         self.save_watermark(
                             pg_table,
@@ -1683,12 +1683,12 @@ class DatabaseMigrator:
             return '0x' + value.hex()
         return "'" + str(value).replace("'", "''") + "'"
 
-    def _get_watermark_for_pg_data(self, table_config: TableMigrationConfig, find_min: bool = False) -> Dict[str, Any]:
+    def _get_watermark_for_pg_data(self, table_config: TableMigrationConfig) -> Dict[str, Any]:
-        """Поиск watermark в MSSQL Life_ для строк, уже имеющихся в PostgreSQL.
+        """Поиск watermark в MSSQL Life_ по максимальному PK из PostgreSQL.
 
-        Читает PK из PG потоком (без загрузки всей таблицы в память), батчами
+        Берёт MAX(pk) из PG (1 запрос), затем ищет соответствующее insert-событие
-        запрашивает MSSQL Life_ и находит минимальную или максимальную (datetime, sequence) пару
+        в Life_-таблице MSSQL (1 запрос). Работает только для одиночного целочисленного PK.
-        среди событий, относящихся к уже реплицированным строкам.
+        Для составного PK возвращает верхнюю границу Life_.
         """
         empty: Dict[str, Any] = {'last_x_datetime': None, 'last_sequence_value': None}
         pk_cols = table_config.primary_key
@@ -1696,14 +1696,29 @@ class DatabaseMigrator:
         if not pk_cols or not table_config.life_table:
             return self.get_incremental_upper_bound(table_config)
 
-        LOOKUP_BATCH = 500
+        if len(pk_cols) != 1:
+            self.logger.log_info(
+                f"Составной PK для {table_config.pg_table}, watermark берётся из верхней границы Life_"
+            )
+            return self.get_incremental_upper_bound(table_config)
 
-        direction = 'ASC' if find_min else 'DESC'
+        pk_col = pk_cols[0]
-        order_parts = [f"{self.quote_mssql_identifier(table_config.datetime_column)} {direction}"]
-        if table_config.sequence_column:
-            order_parts.append(f"{self.quote_mssql_identifier(table_config.sequence_column)} {direction}")
-        order_clause = ', '.join(order_parts)
 
+        # 1. MAX PK из PG
+        with self.dst_engine.connect() as conn:
+            max_pk = conn.execute(
+                text(f"SELECT MAX({self.quote_identifier(pk_col)}) FROM {self.quote_identifier(table_config.pg_table)}")
+            ).scalar()
+
+        if max_pk is None:
+            return empty
+
+        self.logger.log_info(
+            f"MAX {pk_col} в {table_config.pg_table}: {max_pk}, "
+            f"поиск insert-события в {table_config.life_table}"
+        )
+
+        # 2. insert-событие для этого PK в Life_ MSSQL
         select_parts = [
             f"{self.quote_mssql_identifier(table_config.datetime_column)} AS max_dt",
         ]
@@ -1711,88 +1726,41 @@ class DatabaseMigrator:
             select_parts.append(
                 f"{self.quote_mssql_identifier(table_config.sequence_column)} AS max_seq"
             )
+        else:
+            select_parts.append("CAST(NULL AS bigint) AS max_seq")
         select_clause = ', '.join(select_parts)
 
-        max_datetime = None
+        order_parts = [f"{self.quote_mssql_identifier(table_config.datetime_column)} DESC"]
-        max_sequence = None
+        if table_config.sequence_column:
-        total_rows = 0
+            order_parts.append(f"{self.quote_mssql_identifier(table_config.sequence_column)} DESC")
-        batch_num = 0
+        order_clause = ', '.join(order_parts)
 
-        quoted_pk = ', '.join(self.quote_identifier(c) for c in pk_cols)
+        where = f"{self.quote_mssql_identifier(pk_col)} = {self._format_mssql_literal(max_pk)}"
-        pk_sql = text(f'SELECT {quoted_pk} FROM {self.quote_identifier(table_config.pg_table)}')
+        if table_config.operation_column:
-
+            where = f"({where}) AND LOWER({self.quote_mssql_identifier(table_config.operation_column)}) = 'i'"
-        self.logger.log_info(
-            f"Потоковое чтение PK из {table_config.pg_table}, "
-            f"поиск watermark в {table_config.life_table} батчами по {LOOKUP_BATCH}"
-        )
-
-        with self.dst_engine.connect().execution_options(
-            stream_results=True, yield_per=LOOKUP_BATCH
-        ) as conn:
-            for batch in conn.execute(pk_sql).partitions(LOOKUP_BATCH):
-                if not batch:
-                    continue
-
-                batch_num += 1
-                total_rows += len(batch)
-
-                if len(pk_cols) == 1:
-                    col = pk_cols[0]
-                    values_str = ', '.join(self._format_mssql_literal(row[0]) for row in batch)
-                    where = f"{self.quote_mssql_identifier(col)} IN ({values_str})"
-                else:
-                    conditions = []
-                    for row in batch:
-                        parts = [
-                            f"{self.quote_mssql_identifier(col)} = {self._format_mssql_literal(row[i])}"
-                            for i, col in enumerate(pk_cols)
-                        ]
-                        conditions.append(f"({' AND '.join(parts)})")
-                    where = ' OR '.join(conditions)
 
         sql = text(f"""
             SELECT TOP 1 {select_clause}
-                    FROM {self.quote_mssql_identifier(table_config.life_table)}
+            FROM {self.quote_mssql_identifier(table_config.life_table)} WITH (NOLOCK)
             WHERE {where}
             ORDER BY {order_clause}
         """)
 
-                try:
         with self.src_engine.connect() as src_conn:
             row = src_conn.execute(sql).mappings().first()
 
-                    if row and row['max_dt'] is not None:
+        if not row or row['max_dt'] is None:
-                        batch_dt = row['max_dt']
-                        batch_seq = row['max_seq'] if table_config.sequence_column else None
-
-                        is_better = (
-                            max_datetime is None
-                            or (find_min and (
-                                batch_dt < max_datetime
-                                or (batch_dt == max_datetime and batch_seq is not None and (max_sequence is None or batch_seq < max_sequence))
-                            ))
-                            or (not find_min and (
-                                batch_dt > max_datetime
-                                or (batch_dt == max_datetime and batch_seq is not None and (max_sequence is None or batch_seq > max_sequence))
-                            ))
-                        )
-                        if is_better:
-                            max_datetime = batch_dt
-                            max_sequence = batch_seq
-
-                except Exception as e:
             self.logger.log_warning(
-                        f"Ошибка при поиске watermark батч #{batch_num} "
+                f"Insert-событие для {pk_col}={max_pk} не найдено в {table_config.life_table}"
-                        f"(строки {total_rows - len(batch) + 1}–{total_rows}): {e}"
             )
+            return empty
 
-        direction_label = 'минимальный' if find_min else 'максимальный'
+        result = {
-        self.logger.log_info(
+            'last_x_datetime': row['max_dt'],
-            f"Обработано {total_rows} PK из {table_config.pg_table} "
+            'last_sequence_value': row['max_seq'],
-            f"в {batch_num} батчах, {direction_label} watermark: {max_datetime}"
+        }
-        )
+        self.logger.log_info(f"Watermark по MAX PK: {result}")
-
+        return result
-        return {'last_x_datetime': max_datetime, 'last_sequence_value': max_sequence}
 
     def backfill_state_from_pg(
         self,