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import unittest
import duckdb
import pandas as pd
from pandas.testing import assert_frame_equal
from sqlglot import exp, parse_one
from sqlglot.executor import execute
from sqlglot.executor.python import Python
from tests.helpers import FIXTURES_DIR, TPCH_SCHEMA, load_sql_fixture_pairs
DIR = FIXTURES_DIR + "/optimizer/tpc-h/"
class TestExecutor(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.conn = duckdb.connect()
for table in TPCH_SCHEMA:
cls.conn.execute(
f"""
CREATE VIEW {table} AS
SELECT *
FROM READ_CSV_AUTO('{DIR}{table}.csv.gz')
"""
)
cls.cache = {}
cls.sqls = [
(sql, expected)
for _, sql, expected in load_sql_fixture_pairs("optimizer/tpc-h/tpc-h.sql")
]
@classmethod
def tearDownClass(cls):
cls.conn.close()
def cached_execute(self, sql):
if sql not in self.cache:
self.cache[sql] = self.conn.execute(sql).fetchdf()
return self.cache[sql]
def rename_anonymous(self, source, target):
for i, column in enumerate(source.columns):
if "_col_" in column:
source.rename(columns={column: target.columns[i]}, inplace=True)
def test_py_dialect(self):
self.assertEqual(Python().generate(parse_one("'x '''")), r"'x \''")
def test_optimized_tpch(self):
for sql, optimized in self.sqls[0:20]:
a = self.cached_execute(sql)
b = self.conn.execute(optimized).fetchdf()
self.rename_anonymous(b, a)
assert_frame_equal(a, b)
def test_execute_tpch(self):
def to_csv(expression):
if isinstance(expression, exp.Table):
return parse_one(
f"READ_CSV('{DIR}{expression.name}.csv.gz', 'delimiter', '|') AS {expression.name}"
)
return expression
for sql, _ in self.sqls[0:3]:
a = self.cached_execute(sql)
sql = parse_one(sql).transform(to_csv).sql(pretty=True)
table = execute(sql, TPCH_SCHEMA)
b = pd.DataFrame(table.rows, columns=table.columns)
assert_frame_equal(a, b, check_dtype=False)
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