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import os
FILE_DIR = os.path.dirname(__file__)
FIXTURES_DIR = os.path.join(FILE_DIR, "fixtures")
def _filter_comments(s):
return "\n".join([line for line in s.splitlines() if line and not line.startswith("--")])
def _extract_meta(sql):
meta = {}
sql_lines = sql.split("\n")
i = 0
while sql_lines[i].startswith("#"):
key, val = sql_lines[i].split(":", maxsplit=1)
meta[key.lstrip("#").strip()] = val.strip()
i += 1
sql = "\n".join(sql_lines[i:])
return sql, meta
def assert_logger_contains(message, logger, level="error"):
output = "\n".join(str(args[0][0]) for args in getattr(logger, level).call_args_list)
assert message in output
def load_sql_fixtures(filename):
with open(os.path.join(FIXTURES_DIR, filename), encoding="utf-8") as f:
for sql in _filter_comments(f.read()).splitlines():
yield sql
def load_sql_fixture_pairs(filename):
with open(os.path.join(FIXTURES_DIR, filename), encoding="utf-8") as f:
statements = _filter_comments(f.read()).split(";")
size = len(statements)
for i in range(0, size, 2):
if i + 1 < size:
sql = statements[i].strip()
sql, meta = _extract_meta(sql)
expected = statements[i + 1].strip()
yield meta, sql, expected
def string_to_bool(string):
if string is None:
return False
if string in (True, False):
return string
return string and string.lower() in ("true", "1")
TPCH_SCHEMA = {
"lineitem": {
"l_orderkey": "uint64",
"l_partkey": "uint64",
"l_suppkey": "uint64",
"l_linenumber": "uint64",
"l_quantity": "float64",
"l_extendedprice": "float64",
"l_discount": "float64",
"l_tax": "float64",
"l_returnflag": "string",
"l_linestatus": "string",
"l_shipdate": "date32",
"l_commitdate": "date32",
"l_receiptdate": "date32",
"l_shipinstruct": "string",
"l_shipmode": "string",
"l_comment": "string",
},
"orders": {
"o_orderkey": "uint64",
"o_custkey": "uint64",
"o_orderstatus": "string",
"o_totalprice": "float64",
"o_orderdate": "date32",
"o_orderpriority": "string",
"o_clerk": "string",
"o_shippriority": "int32",
"o_comment": "string",
},
"customer": {
"c_custkey": "uint64",
"c_name": "string",
"c_address": "string",
"c_nationkey": "uint64",
"c_phone": "string",
"c_acctbal": "float64",
"c_mktsegment": "string",
"c_comment": "string",
},
"part": {
"p_partkey": "uint64",
"p_name": "string",
"p_mfgr": "string",
"p_brand": "string",
"p_type": "string",
"p_size": "int32",
"p_container": "string",
"p_retailprice": "float64",
"p_comment": "string",
},
"supplier": {
"s_suppkey": "uint64",
"s_name": "string",
"s_address": "string",
"s_nationkey": "uint64",
"s_phone": "string",
"s_acctbal": "float64",
"s_comment": "string",
},
"partsupp": {
"ps_partkey": "uint64",
"ps_suppkey": "uint64",
"ps_availqty": "int32",
"ps_supplycost": "float64",
"ps_comment": "string",
},
"nation": {
"n_nationkey": "uint64",
"n_name": "string",
"n_regionkey": "uint64",
"n_comment": "string",
},
"region": {
"r_regionkey": "uint64",
"r_name": "string",
"r_comment": "string",
},
}
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