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Merging upstream version 18.2.0.

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Signed-off-by: Daniel Baumann <daniel@debian.org>
This commit is contained in:
Daniel Baumann 2025-02-13 20:58:22 +01:00
parent 985db29269
commit 53cf4a81a6
Signed by: daniel
GPG key ID: FBB4F0E80A80222F
124 changed files with 60313 additions and 50346 deletions
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81
tests/dataframe/unit/test_session_case_sensitivity.py Normal file
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import sqlglot
from sqlglot.dataframe.sql import functions as F
from sqlglot.dataframe.sql.session import SparkSession
from sqlglot.errors import OptimizeError
from tests.dataframe.unit.dataframe_test_base import DataFrameTestBase
class TestSessionCaseSensitivity(DataFrameTestBase):
def setUp(self) -> None:
super().setUp()
self.spark = SparkSession.builder.config("sqlframe.dialect", "snowflake").getOrCreate()
tests = [
(
"All lower no intention of CS",
"test",
"test",
{"name": "VARCHAR"},
"name",
'''SELECT "TEST"."NAME" AS "NAME" FROM "TEST" AS "TEST"''',
),
(
"Table has CS while column does not",
'"Test"',
'"Test"',
{"name": "VARCHAR"},
"name",
'''SELECT "TEST"."NAME" AS "NAME" FROM "Test" AS "TEST"''',
),
(
"Column has CS while table does not",
"test",
"test",
{'"Name"': "VARCHAR"},
'"Name"',
'''SELECT "TEST"."Name" AS "Name" FROM "TEST" AS "TEST"''',
),
(
"Both Table and column have CS",
'"Test"',
'"Test"',
{'"Name"': "VARCHAR"},
'"Name"',
'''SELECT "TEST"."Name" AS "Name" FROM "Test" AS "TEST"''',
),
(
"Lowercase CS table and column",
'"test"',
'"test"',
{'"name"': "VARCHAR"},
'"name"',
'''SELECT "TEST"."name" AS "name" FROM "test" AS "TEST"''',
),
(
"CS table and column and query table but no CS in query column",
'"test"',
'"test"',
{'"name"': "VARCHAR"},
"name",
OptimizeError(),
),
(
"CS table and column and query column but no CS in query table",
'"test"',
"test",
{'"name"': "VARCHAR"},
'"name"',
OptimizeError(),
),
]
def test_basic_case_sensitivity(self):
for test_name, table_name, spark_table, schema, spark_column, expected in self.tests:
with self.subTest(test_name):
sqlglot.schema.add_table(table_name, schema, dialect=self.spark.dialect)
df = self.spark.table(spark_table).select(F.col(spark_column))
if isinstance(expected, OptimizeError):
with self.assertRaises(OptimizeError):
df.sql()
else:
self.compare_sql(df, expected)