spark-instrumented-optimizer/python/pyspark/pandas/tests/test_sql.py
Xinrong Meng 4d2b559d92 [SPARK-34999][PYTHON] Consolidate PySpark testing utils
### What changes were proposed in this pull request?
Consolidate PySpark testing utils by removing `python/pyspark/pandas/testing`, and then creating a file `pandasutils` under `python/pyspark/testing` for test utilities used in `pyspark/pandas`.

### Why are the changes needed?

`python/pyspark/pandas/testing` hold test utilites for pandas-on-spark, and `python/pyspark/testing` contain test utilities for pyspark. Consolidating them makes code cleaner and easier to maintain.

Updated import statements are as shown below:
- from pyspark.testing.sqlutils import SQLTestUtils
- from pyspark.testing.pandasutils import PandasOnSparkTestCase, TestUtils
(PandasOnSparkTestCase is the original ReusedSQLTestCase in `python/pyspark/pandas/testing/utils.py`)

Minor improvements include:
- Usage of missing library's requirement_message
- `except ImportError` rather than `except`
- import pyspark.pandas alias as `ps` rather than `pp`

### Does this PR introduce _any_ user-facing change?

No.

### How was this patch tested?

Unit tests under python/pyspark/pandas/tests.

Closes #32177 from xinrong-databricks/port.merge_utils.

Authored-by: Xinrong Meng <xinrong.meng@databricks.com>
Signed-off-by: Takuya UESHIN <ueshin@databricks.com>
2021-04-22 13:07:35 -07:00

51 lines
1.9 KiB
Python

#
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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)