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import unittest
from sqlglot import exp, parse_one, to_table
from sqlglot.errors import SchemaError
from sqlglot.schema import MappingSchema, ensure_schema
class TestSchema(unittest.TestCase):
def assert_column_names(self, schema, *table_results):
for table, result in table_results:
with self.subTest(f"{table} -> {result}"):
self.assertEqual(schema.column_names(to_table(table)), result)
def assert_column_names_raises(self, schema, *tables):
for table in tables:
with self.subTest(table):
with self.assertRaises(SchemaError):
schema.column_names(to_table(table))
def assert_column_names_empty(self, schema, *tables):
for table in tables:
with self.subTest(table):
self.assertEqual(schema.column_names(to_table(table)), [])
def test_schema(self):
schema = ensure_schema(
{
"x": {
"a": "uint64",
},
"y": {
"b": "uint64",
"c": "uint64",
},
},
)
self.assert_column_names(
schema,
("x", ["a"]),
("y", ["b", "c"]),
("z.x", ["a"]),
("z.x.y", ["b", "c"]),
)
self.assert_column_names_empty(
schema,
"z",
"z.z",
"z.z.z",
)
def test_schema_db(self):
schema = ensure_schema(
{
"d1": {
"x": {
"a": "uint64",
},
"y": {
"b": "uint64",
},
},
"d2": {
"x": {
"c": "uint64",
},
},
},
)
self.assert_column_names(
schema,
("d1.x", ["a"]),
("d2.x", ["c"]),
("y", ["b"]),
("d1.y", ["b"]),
("z.d1.y", ["b"]),
)
self.assert_column_names_raises(
schema,
"x",
)
self.assert_column_names_empty(
schema,
"z.x",
"z.y",
)
def test_schema_catalog(self):
schema = ensure_schema(
{
"c1": {
"d1": {
"x": {
"a": "uint64",
},
"y": {
"b": "uint64",
},
"z": {
"c": "uint64",
},
},
},
"c2": {
"d1": {
"y": {
"d": "uint64",
},
"z": {
"e": "uint64",
},
},
"d2": {
"z": {
"f": "uint64",
},
},
},
}
)
self.assert_column_names(
schema,
("x", ["a"]),
("d1.x", ["a"]),
("c1.d1.x", ["a"]),
("c1.d1.y", ["b"]),
("c1.d1.z", ["c"]),
("c2.d1.y", ["d"]),
("c2.d1.z", ["e"]),
("d2.z", ["f"]),
("c2.d2.z", ["f"]),
)
self.assert_column_names_raises(
schema,
"y",
"z",
"d1.y",
"d1.z",
)
self.assert_column_names_empty(
schema,
"q",
"d2.x",
"a.b.c",
)
def test_schema_add_table_with_and_without_mapping(self):
schema = MappingSchema()
schema.add_table("test")
self.assertEqual(schema.column_names("test"), [])
schema.add_table("test", {"x": "string"})
self.assertEqual(schema.column_names("test"), ["x"])
schema.add_table("test", {"x": "string", "y": "int"})
self.assertEqual(schema.column_names("test"), ["x", "y"])
schema.add_table("test")
self.assertEqual(schema.column_names("test"), ["x", "y"])
def test_schema_get_column_type(self):
schema = MappingSchema({"A": {"b": "varchar"}})
self.assertEqual(schema.get_column_type("a", "B").this, exp.DataType.Type.VARCHAR)
self.assertEqual(
schema.get_column_type(exp.table_("a"), exp.column("b")).this,
exp.DataType.Type.VARCHAR,
)
self.assertEqual(
schema.get_column_type("a", exp.column("b")).this, exp.DataType.Type.VARCHAR
)
self.assertEqual(
schema.get_column_type(exp.table_("a"), "b").this, exp.DataType.Type.VARCHAR
)
schema = MappingSchema({"a": {"b": {"c": "varchar"}}})
self.assertEqual(
schema.get_column_type(exp.table_("b", db="a"), exp.column("c")).this,
exp.DataType.Type.VARCHAR,
)
self.assertEqual(
schema.get_column_type(exp.table_("b", db="a"), "c").this, exp.DataType.Type.VARCHAR
)
schema = MappingSchema({"a": {"b": {"c": {"d": "varchar"}}}})
self.assertEqual(
schema.get_column_type(exp.table_("c", db="b", catalog="a"), exp.column("d")).this,
exp.DataType.Type.VARCHAR,
)
self.assertEqual(
schema.get_column_type(exp.table_("c", db="b", catalog="a"), "d").this,
exp.DataType.Type.VARCHAR,
)
schema = MappingSchema({"foo": {"bar": parse_one("INT", into=exp.DataType)}})
self.assertEqual(schema.get_column_type("foo", "bar").this, exp.DataType.Type.INT)
def test_schema_normalization(self):
schema = MappingSchema(
schema={"x": {"`y`": {"Z": {"a": "INT", "`B`": "VARCHAR"}, "w": {"C": "INT"}}}},
dialect="clickhouse",
)
table_z = exp.table_("Z", db="y", catalog="x")
table_w = exp.table_("w", db="y", catalog="x")
self.assertEqual(schema.column_names(table_z), ["a", "B"])
self.assertEqual(schema.column_names(table_w), ["C"])
schema = MappingSchema(schema={"x": {"`y`": "INT"}}, dialect="clickhouse")
self.assertEqual(schema.column_names(exp.table_("x")), ["y"])
# Check that add_table normalizes both the table and the column names to be added / updated
schema = MappingSchema()
schema.add_table("Foo", {"SomeColumn": "INT", '"SomeColumn"': "DOUBLE"})
self.assertEqual(schema.column_names(exp.table_("fOO")), ["somecolumn", "SomeColumn"])
# Check that names are normalized to uppercase for Snowflake
schema = MappingSchema(schema={"x": {"foo": "int", '"bLa"': "int"}}, dialect="snowflake")
self.assertEqual(schema.column_names(exp.table_("x")), ["FOO", "bLa"])
# Check that switching off the normalization logic works as expected
schema = MappingSchema(schema={"x": {"foo": "int"}}, normalize=False, dialect="snowflake")
self.assertEqual(schema.column_names(exp.table_("x")), ["foo"])
# Check that the correct dialect is used when calling schema methods
# Note: T-SQL is case-insensitive by default, so `fo` in clickhouse will match the normalized table name
schema = MappingSchema(schema={"[Fo]": {"x": "int"}}, dialect="tsql")
self.assertEqual(
schema.column_names("[Fo]"), schema.column_names("`fo`", dialect="clickhouse")
)
# Check that all column identifiers are normalized to lowercase for BigQuery, even quoted
# ones. Also, ensure that tables aren't normalized, since they're case-sensitive by default.
schema = MappingSchema(schema={"Foo": {"`BaR`": "int"}}, dialect="bigquery")
self.assertEqual(schema.column_names("Foo"), ["bar"])
self.assertEqual(schema.column_names("foo"), [])
# Check that the schema's normalization setting can be overridden
schema = MappingSchema(schema={"X": {"y": "int"}}, normalize=False, dialect="snowflake")
self.assertEqual(schema.column_names("x", normalize=True), ["y"])
def test_same_number_of_qualifiers(self):
schema = MappingSchema({"x": {"y": {"c1": "int"}}})
with self.assertRaises(SchemaError) as ctx:
schema.add_table("z", {"c2": "int"})
self.assertEqual(
str(ctx.exception),
"Table z must match the schema's nesting level: 2.",
)
schema = MappingSchema()
schema.add_table("x.y", {"c1": "int"})
with self.assertRaises(SchemaError) as ctx:
schema.add_table("z", {"c2": "int"})
self.assertEqual(
str(ctx.exception),
"Table z must match the schema's nesting level: 2.",
)
with self.assertRaises(SchemaError) as ctx:
MappingSchema({"x": {"y": {"c1": "int"}}, "z": {"c2": "int"}})
self.assertEqual(
str(ctx.exception),
"Table z must match the schema's nesting level: 2.",
)
with self.assertRaises(SchemaError) as ctx:
MappingSchema(
{
"catalog": {
"db": {"tbl": {"col": "a"}},
},
"tbl2": {"col": "b"},
},
)
self.assertEqual(
str(ctx.exception),
"Table tbl2 must match the schema's nesting level: 3.",
)
with self.assertRaises(SchemaError) as ctx:
MappingSchema(
{
"tbl2": {"col": "b"},
"catalog": {
"db": {"tbl": {"col": "a"}},
},
},
)
self.assertEqual(
str(ctx.exception),
"Table catalog.db.tbl must match the schema's nesting level: 1.",
)
def test_has_column(self):
schema = MappingSchema({"x": {"c": "int"}})
self.assertTrue(schema.has_column("x", exp.column("c")))
self.assertFalse(schema.has_column("x", exp.column("k")))
def test_find(self):
schema = MappingSchema({"x": {"c": "int"}})
found = schema.find(exp.to_table("x"))
self.assertEqual(found, {"c": "int"})
found = schema.find(exp.to_table("x"), ensure_data_types=True)
self.assertEqual(found, {"c": exp.DataType.build("int")})
|
