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lz_db
313
utils/batch_order_sync.py
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313
utils/batch_order_sync.py
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from typing import List, Dict, Any, Tuple
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from loguru import logger
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from sqlalchemy import text
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import time
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class BatchOrderSync:
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"""订单数据批量同步工具（最高性能）"""
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def __init__(self, db_manager, batch_size: int = 1000):
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self.db_manager = db_manager
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self.batch_size = batch_size
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def sync_orders_batch(self, all_orders: List[Dict]) -> Tuple[bool, int]:
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"""批量同步订单数据"""
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if not all_orders:
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return True, 0
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session = self.db_manager.get_session()
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try:
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start_time = time.time()
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# 方法1：使用临时表（性能最好）
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processed_count = self._sync_using_temp_table(session, all_orders)
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elapsed = time.time() - start_time
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logger.info(f"订单批量同步完成: 处理 {processed_count} 条订单，耗时 {elapsed:.2f}秒")
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return True, processed_count
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except Exception as e:
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logger.error(f"订单批量同步失败: {e}")
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return False, 0
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finally:
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session.close()
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def _sync_using_temp_table(self, session, all_orders: List[Dict]) -> int:
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"""使用临时表批量同步订单"""
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try:
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# 1. 创建临时表
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session.execute(text("""
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CREATE TEMPORARY TABLE IF NOT EXISTS temp_orders (
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st_id INT,
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k_id INT,
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asset VARCHAR(32),
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order_id VARCHAR(765),
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symbol VARCHAR(120),
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side VARCHAR(120),
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price FLOAT,
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time INT,
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order_qty FLOAT,
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last_qty FLOAT,
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avg_price FLOAT,
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exchange_id INT,
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UNIQUE KEY idx_unique_order (order_id, symbol, k_id, side)
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)
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"""))
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# 2. 清空临时表
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session.execute(text("TRUNCATE TABLE temp_orders"))
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# 3. 批量插入数据到临时表（分块）
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inserted_count = self._batch_insert_to_temp_table(session, all_orders)
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if inserted_count == 0:
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session.execute(text("DROP TEMPORARY TABLE IF EXISTS temp_orders"))
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return 0
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# 4. 使用临时表更新主表
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# 更新已存在的记录（只更新需要比较的字段）
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update_result = session.execute(text("""
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UPDATE deh_strategy_order_new main
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INNER JOIN temp_orders temp
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ON main.order_id = temp.order_id
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AND main.symbol = temp.symbol
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AND main.k_id = temp.k_id
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AND main.side = temp.side
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SET main.side = temp.side,
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main.price = temp.price,
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main.time = temp.time,
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main.order_qty = temp.order_qty,
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main.last_qty = temp.last_qty,
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main.avg_price = temp.avg_price
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WHERE main.side != temp.side
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OR main.price != temp.price
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OR main.time != temp.time
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OR main.order_qty != temp.order_qty
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OR main.last_qty != temp.last_qty
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OR main.avg_price != temp.avg_price
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"""))
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updated_count = update_result.rowcount
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# 插入新记录
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insert_result = session.execute(text("""
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INSERT INTO deh_strategy_order_new
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(st_id, k_id, asset, order_id, symbol, side, price, time,
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order_qty, last_qty, avg_price, exchange_id)
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SELECT
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st_id, k_id, asset, order_id, symbol, side, price, time,
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order_qty, last_qty, avg_price, exchange_id
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FROM temp_orders temp
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WHERE NOT EXISTS (
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SELECT 1 FROM deh_strategy_order_new main
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WHERE main.order_id = temp.order_id
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AND main.symbol = temp.symbol
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AND main.k_id = temp.k_id
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AND main.side = temp.side
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)
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"""))
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inserted_count = insert_result.rowcount
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# 5. 删除临时表
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session.execute(text("DROP TEMPORARY TABLE IF EXISTS temp_orders"))
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session.commit()
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total_processed = updated_count + inserted_count
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logger.info(f"订单批量同步: 更新 {updated_count} 条，插入 {inserted_count} 条")
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return total_processed
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except Exception as e:
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session.rollback()
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logger.error(f"临时表同步订单失败: {e}")
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raise
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def _batch_insert_to_temp_table(self, session, all_orders: List[Dict]) -> int:
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"""批量插入数据到临时表"""
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total_inserted = 0
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try:
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# 分块处理
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for i in range(0, len(all_orders), self.batch_size):
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chunk = all_orders[i:i + self.batch_size]
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values_list = []
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for order in chunk:
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try:
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# 处理NULL值
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price = order.get('price')
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time_val = order.get('time')
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order_qty = order.get('order_qty')
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last_qty = order.get('last_qty')
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avg_price = order.get('avg_price')
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# 转义单引号
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symbol = order.get('symbol').replace("'", "''") if order.get('symbol') else ''
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order_id = order.get('order_id').replace("'", "''") if order.get('order_id') else ''
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values = (
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f"({order['st_id']}, {order['k_id']}, '{order.get('asset', 'USDT')}', "
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f"'{order_id}', "
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f"'{symbol}', "
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f"'{order['side']}', "
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f"{price if price is not None else 'NULL'}, "
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f"{time_val if time_val is not None else 'NULL'}, "
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f"{order_qty if order_qty is not None else 'NULL'}, "
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f"{last_qty if last_qty is not None else 'NULL'}, "
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f"{avg_price if avg_price is not None else 'NULL'}, "
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"NULL)"
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)
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values_list.append(values)
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except Exception as e:
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logger.error(f"构建订单值失败: {order}, error={e}")
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continue
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if values_list:
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values_str = ", ".join(values_list)
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sql = f"""
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INSERT INTO temp_orders
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(st_id, k_id, asset, order_id, symbol, side, price, time,
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order_qty, last_qty, avg_price, exchange_id)
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VALUES {values_str}
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"""
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result = session.execute(text(sql))
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total_inserted += len(chunk)
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return total_inserted
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except Exception as e:
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logger.error(f"批量插入临时表失败: {e}")
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raise
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def _batch_insert_to_temp_table1(self, session, all_orders: List[Dict]) -> int:
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"""批量插入数据到临时表（使用参数化查询）temp_orders"""
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total_inserted = 0
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try:
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# 分块处理
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for i in range(0, len(all_orders), self.batch_size):
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chunk = all_orders[i:i + self.batch_size]
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# 准备参数化数据
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insert_data = []
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for order in chunk:
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try:
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insert_data.append({
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'st_id': order['st_id'],
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'k_id': order['k_id'],
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'asset': order.get('asset', 'USDT'),
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'order_id': order['order_id'],
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'symbol': order['symbol'],
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'side': order['side'],
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'price': order.get('price'),
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'time': order.get('time'),
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'order_qty': order.get('order_qty'),
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'last_qty': order.get('last_qty'),
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'avg_price': order.get('avg_price')
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# exchange_id 留空，使用默认值NULL
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})
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except KeyError as e:
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logger.error(f"订单数据缺少必要字段: {order}, missing={e}")
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continue
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except Exception as e:
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logger.error(f"处理订单数据失败: {order}, error={e}")
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continue
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if insert_data:
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sql = text(f"""
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INSERT INTO {self.temp_table_name}
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(st_id, k_id, asset, order_id, symbol, side, price, time,
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order_qty, last_qty, avg_price)
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VALUES
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(:st_id, :k_id, :asset, :order_id, :symbol, :side, :price, :time,
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:order_qty, :last_qty, :avg_price)
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""")
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try:
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session.execute(sql, insert_data)
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session.commit()
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total_inserted += len(insert_data)
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logger.debug(f"插入 {len(insert_data)} 条数据到临时表")
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except Exception as e:
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session.rollback()
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logger.error(f"执行批量插入失败: {e}")
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raise
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logger.info(f"总共插入 {total_inserted} 条数据到临时表")
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return total_inserted
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except Exception as e:
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logger.error(f"批量插入临时表失败: {e}")
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session.rollback()
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raise
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def _sync_using_on_duplicate(self, session, all_orders: List[Dict]) -> int:
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"""使用ON DUPLICATE KEY UPDATE批量同步（简化版）"""
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try:
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total_processed = 0
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# 分块执行
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for i in range(0, len(all_orders), self.batch_size):
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chunk = all_orders[i:i + self.batch_size]
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values_list = []
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for order in chunk:
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try:
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# 处理NULL值
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price = order.get('price')
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time_val = order.get('time')
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order_qty = order.get('order_qty')
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last_qty = order.get('last_qty')
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avg_price = order.get('avg_price')
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symbol = order.get('symbol').replace("'", "''") if order.get('symbol') else ''
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order_id = order.get('order_id').replace("'", "''") if order.get('order_id') else ''
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values = (
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f"({order['st_id']}, {order['k_id']}, '{order.get('asset', 'USDT')}', "
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f"'{order_id}', "
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f"'{symbol}', "
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f"'{order['side']}', "
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f"{price if price is not None else 'NULL'}, "
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f"{time_val if time_val is not None else 'NULL'}, "
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f"{order_qty if order_qty is not None else 'NULL'}, "
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f"{last_qty if last_qty is not None else 'NULL'}, "
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f"{avg_price if avg_price is not None else 'NULL'}, "
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"NULL)"
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)
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values_list.append(values)
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except Exception as e:
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logger.error(f"构建订单值失败: {order}, error={e}")
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continue
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if values_list:
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values_str = ", ".join(values_list)
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sql = f"""
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INSERT INTO deh_strategy_order_new
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(st_id, k_id, asset, order_id, symbol, side, price, time,
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order_qty, last_qty, avg_price, exchange_id)
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VALUES {values_str}
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ON DUPLICATE KEY UPDATE
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side = VALUES(side),
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price = VALUES(price),
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time = VALUES(time),
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order_qty = VALUES(order_qty),
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last_qty = VALUES(last_qty),
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avg_price = VALUES(avg_price)
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"""
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session.execute(text(sql))
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total_processed += len(chunk)
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session.commit()
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return total_processed
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except Exception as e:
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session.rollback()
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logger.error(f"ON DUPLICATE同步订单失败: {e}")
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raise
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