spark-instrumented-optimizer/python/pyspark/pandas/tests/test_sql.py

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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You 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.
#
from pyspark import pandas as ps
from pyspark.sql.utils import ParseException
from pyspark.testing.pandasutils import PandasOnSparkTestCase
from pyspark.testing.sqlutils import SQLTestUtils
class SQLTest(PandasOnSparkTestCase, SQLTestUtils):
def test_error_variable_not_exist(self):
msg = "The key variable_foo in the SQL statement was not found.*"
with self.assertRaisesRegex(ValueError, msg):
ps.sql("select * from {variable_foo}")
def test_error_unsupported_type(self):
msg = "Unsupported variable type dict: {'a': 1}"
with self.assertRaisesRegex(ValueError, msg):
some_dict = {"a": 1}
ps.sql("select * from {some_dict}")
def test_error_bad_sql(self):
with self.assertRaises(ParseException):
ps.sql("this is not valid sql")
if __name__ == "__main__":
import unittest
from pyspark.pandas.tests.test_sql import * # noqa: F401
try:
import xmlrunner # type: ignore[import]
testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
except ImportError:
testRunner = None
unittest.main(testRunner=testRunner, verbosity=2)