原始数据建表优化

This commit is contained in:
lhx
2025-11-18 09:54:15 +08:00
parent d8b6247094
commit 0e782baed9

View File

@@ -337,101 +337,46 @@ class OriginalDataService(BaseService[OriginalData]):
table_name = self._get_table_name(account_id)
for attempt in range(2): # 最多重试1次
# 检查是否已在事务中(避免重复开始事务)
in_transaction = db.in_transaction()
# 如果不在事务中,才需要手动管理事务
if not in_transaction:
for attempt in range(2): # 最多重试1次
try:
db.begin()
success_count = 0
failed_count = 0
failed_items = []
# 执行数据导入操作
success_count = self._execute_import(db, table_name, data, account_id)
db.commit()
logger.info(f"Batch import original data completed. Success: {success_count}, Failed: {failed_count}")
break
except Exception as e:
db.rollback()
logger.warning(f"Batch import attempt {attempt + 1} failed: {str(e)}")
if attempt == 1: # 最后一次重试失败
logger.error("Batch import original data failed after retries")
return {
'success': False,
'message': f'批量导入失败: {str(e)}',
'total_count': total_count,
'success_count': 0,
'failed_count': total_count,
'failed_items': failed_items
}
else:
# 如果已在事务中,直接执行操作(不管理事务)
try:
db.begin()
success_count = 0
failed_count = 0
failed_items = []
nyid = str(data[0].get('NYID')) # 统一转换为字符串
# 检查该期数数据是否已存在
check_query = text(f"SELECT COUNT(*) as cnt FROM `{table_name}` WHERE NYID = :nyid")
is_exists = db.execute(check_query, {"nyid": nyid}).fetchone()[0]
if is_exists > 0:
db.rollback()
return {
'success': True,
'message': '数据已存在',
'total_count': 0,
'success_count': success_count,
'failed_count': failed_count,
'failed_items': failed_items
}
# ===== 性能优化:批量查询沉降数据 =====
# 统一转换为字符串处理数据库NYID字段是VARCHAR类型
nyid_list = list(set(str(item.get('NYID')) for item in data if item.get('NYID')))
settlements = db.query(SettlementData).filter(SettlementData.NYID.in_(nyid_list)).all()
settlement_map = {s.NYID: s for s in settlements}
missing_nyids = set(nyid_list) - set(settlement_map.keys())
if missing_nyids:
logger.warning(f"[批量导入原始数据] 批量查询settlement数据失败 Nyid: {list(missing_nyids)}")
db.rollback()
return {
'success': False,
'message': f'以下期数在沉降表中不存在: {list(missing_nyids)}',
'total_count': total_count,
'success_count': 0,
'failed_count': total_count,
'failed_items': []
}
# ===== 性能优化:使用批量插入 =====
# 将数据分组每组1000条MySQL默认支持
batch_size = 1000
for i in range(0, len(data), batch_size):
batch_data = data[i:i + batch_size]
# 构建批量参数
values_list = []
params = {}
for idx, item_data in enumerate(batch_data):
values_list.append(
f"(:account_id_{idx}, :bfpcode_{idx}, :mtime_{idx}, :bffb_{idx}, "
f":bfpl_{idx}, :bfpvalue_{idx}, :NYID_{idx}, :sort_{idx})"
)
params.update({
f"account_id_{idx}": account_id,
f"bfpcode_{idx}": item_data.get('bfpcode'),
f"mtime_{idx}": item_data.get('mtime'),
f"bffb_{idx}": item_data.get('bffb'),
f"bfpl_{idx}": item_data.get('bfpl'),
f"bfpvalue_{idx}": item_data.get('bfpvalue'),
f"NYID_{idx}": item_data.get('NYID'),
f"sort_{idx}": item_data.get('sort')
})
# 批量插入SQL - 使用字符串拼接修复TextClause拼接问题
insert_sql = f"""
INSERT INTO `{table_name}`
(account_id, bfpcode, mtime, bffb, bfpl, bfpvalue, NYID, sort)
VALUES {", ".join(values_list)}
"""
final_sql = text(insert_sql)
db.execute(final_sql, params)
success_count += len(batch_data)
logger.info(f"Inserted batch {i//batch_size + 1}: {len(batch_data)} records")
db.commit()
logger.info(f"Batch import original data completed. Success: {success_count}, Failed: {failed_count}")
break
success_count = self._execute_import(db, table_name, data, account_id)
logger.info(f"Batch import original data completed in existing transaction. Success: {success_count}")
except Exception as e:
db.rollback()
logger.warning(f"Batch import attempt {attempt + 1} failed: {str(e)}")
if attempt == 1: # 最后一次重试失败
logger.error("Batch import original data failed after retries")
return {
'success': False,
'message': f'批量导入失败: {str(e)}',
'total_count': total_count,
'success_count': 0,
'failed_count': total_count,
'failed_items': failed_items
}
logger.error(f"Batch import failed in existing transaction: {str(e)}")
# 抛出异常,让外部处理事务回滚
raise
return {
'success': True,
@@ -440,4 +385,64 @@ class OriginalDataService(BaseService[OriginalData]):
'success_count': success_count,
'failed_count': failed_count,
'failed_items': failed_items
}
}
def _execute_import(self, db: Session, table_name: str, data: List, account_id: int) -> int:
"""执行数据导入操作(抽取的公共逻辑)"""
nyid = str(data[0].get('NYID')) # 统一转换为字符串
# 检查该期数数据是否已存在
check_query = text(f"SELECT COUNT(*) as cnt FROM `{table_name}` WHERE NYID = :nyid")
is_exists = db.execute(check_query, {"nyid": nyid}).fetchone()[0]
if is_exists > 0:
return 0
# ===== 性能优化:批量查询沉降数据 =====
# 统一转换为字符串处理数据库NYID字段是VARCHAR类型
nyid_list = list(set(str(item.get('NYID')) for item in data if item.get('NYID')))
from ..models.settlement_data import SettlementData
settlements = db.query(SettlementData).filter(SettlementData.NYID.in_(nyid_list)).all()
settlement_map = {s.NYID: s for s in settlements}
missing_nyids = set(nyid_list) - set(settlement_map.keys())
if missing_nyids:
raise Exception(f'以下期数在沉降表中不存在: {list(missing_nyids)}')
# ===== 性能优化:使用批量插入 =====
# 将数据分组每组1000条MySQL默认支持
batch_size = 1000
total_inserted = 0
for i in range(0, len(data), batch_size):
batch_data = data[i:i + batch_size]
# 构建批量参数
values_list = []
params = {}
for idx, item_data in enumerate(batch_data):
values_list.append(
f"(:account_id_{idx}, :bfpcode_{idx}, :mtime_{idx}, :bffb_{idx}, "
f":bfpl_{idx}, :bfpvalue_{idx}, :NYID_{idx}, :sort_{idx})"
)
params.update({
f"account_id_{idx}": account_id,
f"bfpcode_{idx}": item_data.get('bfpcode'),
f"mtime_{idx}": item_data.get('mtime'),
f"bffb_{idx}": item_data.get('bffb'),
f"bfpl_{idx}": item_data.get('bfpl'),
f"bfpvalue_{idx}": item_data.get('bfpvalue'),
f"NYID_{idx}": item_data.get('NYID'),
f"sort_{idx}": item_data.get('sort')
})
# 批量插入SQL - 使用字符串拼接修复TextClause拼接问题
insert_sql = f"""
INSERT INTO `{table_name}`
(account_id, bfpcode, mtime, bffb, bfpl, bfpvalue, NYID, sort)
VALUES {", ".join(values_list)}
"""
final_sql = text(insert_sql)
db.execute(final_sql, params)
total_inserted += len(batch_data)
logger.info(f"Inserted batch {i//batch_size + 1}: {len(batch_data)} records")
return total_inserted