本文整理汇总了Python中airflow.hooks.hive_hooks.HiveCliHook.load_df方法的典型用法代码示例。如果您正苦于以下问题：Python HiveCliHook.load_df方法的具体用法？Python HiveCliHook.load_df怎么用？Python HiveCliHook.load_df使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类airflow.hooks.hive_hooks.HiveCliHook的用法示例。
在下文中一共展示了HiveCliHook.load_df方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_load_df_with_data_types
# 需要导入模块: from airflow.hooks.hive_hooks import HiveCliHook [as 别名]
# 或者: from airflow.hooks.hive_hooks.HiveCliHook import load_df [as 别名]
def test_load_df_with_data_types(self, mock_run_cli):
d = OrderedDict()
d['b'] = [True]
d['i'] = [-1]
d['t'] = [1]
d['f'] = [0.0]
d['c'] = ['c']
d['M'] = [datetime.datetime(2018, 1, 1)]
d['O'] = [object()]
d['S'] = ['STRING'.encode('utf-8')]
d['U'] = ['STRING']
d['V'] = [None]
df = pd.DataFrame(d)
hook = HiveCliHook()
hook.load_df(df, 't')
query = """
CREATE TABLE IF NOT EXISTS t (
b BOOLEAN,
i BIGINT,
t BIGINT,
f DOUBLE,
c STRING,
M TIMESTAMP,
O STRING,
S STRING,
U STRING,
V STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS textfile
;
"""
assertEqualIgnoreMultipleSpaces(self, mock_run_cli.call_args_list[0][0][0], query)示例2: test_load_df_with_optional_parameters
# 需要导入模块: from airflow.hooks.hive_hooks import HiveCliHook [as 别名]
# 或者: from airflow.hooks.hive_hooks.HiveCliHook import load_df [as 别名]
def test_load_df_with_optional_parameters(self, mock_to_csv, mock_load_file):
hook = HiveCliHook()
b = (True, False)
for create, recreate in itertools.product(b, b):
mock_load_file.reset_mock()
hook.load_df(df=pd.DataFrame({"c": range(0, 10)}),
table="t",
create=create,
recreate=recreate)
mock_load_file.assert_called_once()
kwargs = mock_load_file.call_args[1]
self.assertEqual(kwargs["create"], create)
self.assertEqual(kwargs["recreate"], recreate)示例3: test_load_df
# 需要导入模块: from airflow.hooks.hive_hooks import HiveCliHook [as 别名]
# 或者: from airflow.hooks.hive_hooks.HiveCliHook import load_df [as 别名]
def test_load_df(self, mock_to_csv, mock_load_file):
df = pd.DataFrame({"c": ["foo", "bar", "baz"]})
table = "t"
delimiter = ","
encoding = "utf-8"
hook = HiveCliHook()
hook.load_df(df=df,
table=table,
delimiter=delimiter,
encoding=encoding)
mock_to_csv.assert_called_once()
kwargs = mock_to_csv.call_args[1]
self.assertEqual(kwargs["header"], False)
self.assertEqual(kwargs["index"], False)
self.assertEqual(kwargs["sep"], delimiter)
mock_load_file.assert_called_once()
kwargs = mock_load_file.call_args[1]
self.assertEqual(kwargs["delimiter"], delimiter)
self.assertEqual(kwargs["field_dict"], {"c": u"STRING"})
self.assertTrue(isinstance(kwargs["field_dict"], OrderedDict))
self.assertEqual(kwargs["table"], table)