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Change default number of sql handlers in pool

ogert 5 年之前
父节点
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f31ee9b791
共有 2 个文件被更改,包括 2 次插入2 次删除
  1. 1 1
      cdplib/db_handlers/SQLHandler.py
  2. 1 1
      cdplib/unit_tests/TestMongodbHandler.py

+ 1 - 1
cdplib/db_handlers/SQLHandler.py

@@ -23,7 +23,7 @@ class SQLHandlerPool(metaclass=SingletonThreadsafe):
     '''
     '''
     '''
     '''
 
 
-    def __init__(self, size: int = 1):
+    def __init__(self, size: int = 20):
         self._size = size
         self._size = size
         self._log = Log(name='SQLHandlerPool')
         self._log = Log(name='SQLHandlerPool')
         self._sql_handlers = [SQLHandler() for _ in range(size)]
         self._sql_handlers = [SQLHandler() for _ in range(size)]

+ 1 - 1
cdplib/unit_tests/TestMongodbHandler.py

@@ -81,7 +81,7 @@ class TestMongodbHandler(unittest.TestCase):
         Fetch data and confirms thats it is the same as was entered into the database
         Fetch data and confirms thats it is the same as was entered into the database
         Do the same with more specific query
         Do the same with more specific query
         '''
         '''
-        self.assertEqual(self.mongodb_handler.query_data_and_generate_dataframe(self.first_collection_name).to_dict()['test_value_double'][0], self.valid_input['test_value_double'])
+        self.assertEqual(self.mongodb_handler.query_data_and_generate_dataframe(self.first_collection_name).to_dict()['test_value_double'][0], self.valid_input['test_value_double'])git 
         self.assertEqual(self.mongodb_handler.query_data_and_generate_dataframe(self.first_collection_name, 'test_value_string', 'test_value').to_dict()['test_value_double'][0], self.valid_input['test_value_double'])
         self.assertEqual(self.mongodb_handler.query_data_and_generate_dataframe(self.first_collection_name, 'test_value_string', 'test_value').to_dict()['test_value_double'][0], self.valid_input['test_value_double'])
     
     
     def test_F_aggregate_data_and_generate_dataframe(self):
     def test_F_aggregate_data_and_generate_dataframe(self):