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76 lines (63 loc) · 2.72 KB
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# Copyright 2020 The SQLFlow Authors. All rights reserved.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License
import unittest
from unittest import TestCase
from runtime import testing
from runtime.dbapi.hive import HiveConnection
@unittest.skipUnless(testing.get_driver() == "hive", "Skip non-hive test")
class TestHiveConnection(TestCase):
def test_connecion(self):
try:
conn = HiveConnection(testing.get_datasource())
conn.close()
except: # noqa: E722
self.fail()
def test_query(self):
conn = HiveConnection(testing.get_datasource())
try:
conn.query("select * from notexist limit 1")
self.assertTrue(False)
except Exception as e:
self.assertTrue("Table not found" in str(e))
rs = conn.query("select * from train limit 1")
self.assertTrue(rs.success())
rows = [r for r in rs]
self.assertEqual(1, len(rows))
rs = conn.query("select * from train limit 20")
self.assertTrue(rs.success())
col_info = rs.column_info()
self.assertEqual([('sepal_length', 'FLOAT'), ('sepal_width', 'FLOAT'),
('petal_length', 'FLOAT'), ('petal_width', 'FLOAT'),
('class', 'INT')], col_info)
rows = [r for r in rs]
self.assertTrue(20, len(rows))
def test_exec(self):
conn = HiveConnection(testing.get_datasource())
rs = conn.execute("create table test_exec(a int)")
self.assertTrue(rs)
rs = conn.execute("insert into test_exec values(1), (2)")
self.assertTrue(rs)
rs = conn.query("select * from test_exec")
self.assertTrue(rs.success())
rows = [r for r in rs]
self.assertTrue(2, len(rows))
rs = conn.execute("drop table test_exec")
self.assertTrue(rs)
def test_get_table_schema(self):
conn = HiveConnection(testing.get_datasource())
col_info = conn.get_table_schema("iris.train")
self.assertEqual([('sepal_length', 'FLOAT'), ('sepal_width', 'FLOAT'),
('petal_length', 'FLOAT'), ('petal_width', 'FLOAT'),
('class', 'INT')], col_info)
if __name__ == "__main__":
unittest.main()