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test_relation.py
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422 lines (361 loc) · 14.6 KB
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import pytest
from dbt_common.contracts.constraints import ConstraintType
from dbt_common.exceptions import DbtRuntimeError
from dbt.adapters.databricks import relation
from dbt.adapters.databricks.constraints import (
CheckConstraint,
CustomConstraint,
PrimaryKeyConstraint,
)
from dbt.adapters.databricks.relation import (
MAX_CHARACTERS_IN_IDENTIFIER,
DatabricksQuotePolicy,
DatabricksRelation,
DatabricksRelationType,
DatabricksTableType,
)
class TestDatabricksRelation:
def test_pre_deserialize__all_present(self):
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.database == "some_database"
assert relation.schema == "some_schema"
assert relation.identifier == "some_table"
def test_pre_deserialize__empty_database(self):
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"database": None,
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.database is None
assert relation.schema, "some_schema"
assert relation.identifier, "some_table"
def test_pre_deserialize__missing_database(self):
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.database is None
assert relation.schema, "some_schema"
assert relation.identifier, "some_table"
def test_pre_deserialize__external_type_migration(self):
"""Test that 'external' as type is converted to table with databricks_table_type."""
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": "external",
}
relation = DatabricksRelation.from_dict(data)
assert relation.type == DatabricksRelationType.Table
assert relation.databricks_table_type == DatabricksTableType.External
assert relation.is_external_table
def test_pre_deserialize__managed_type_migration(self):
"""Test that 'managed' as type is converted to table with databricks_table_type."""
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": "managed",
}
relation = DatabricksRelation.from_dict(data)
assert relation.type == DatabricksRelationType.Table
assert relation.databricks_table_type == DatabricksTableType.Managed
def test_pre_deserialize__external_with_existing_table_type(self):
"""Test that existing databricks_table_type is preserved."""
data = {
"quote_policy": {"database": False, "schema": False, "identifier": False},
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": "external",
"databricks_table_type": "external_shallow_clone",
}
relation = DatabricksRelation.from_dict(data)
assert relation.type == DatabricksRelationType.Table
# Should preserve the existing databricks_table_type
assert relation.databricks_table_type == DatabricksTableType.ExternalShallowClone
def test_render__all_present(self):
data = {
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.get_default_quote_policy() == DatabricksQuotePolicy(True, True, True)
assert relation.render() == "`some_database`.`some_schema`.`some_table`"
def test_render__database_missing(self):
data = {
"path": {
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.render() == "`some_schema`.`some_table`"
def test_matches__exact_match(self):
data = {
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.matches("some_database", "some_schema", "some_table")
def test_matches__capitalization_mismatch(self):
data = {
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "SOME_TABLE",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.matches("some_database", "some_schema", "some_table")
def test_matches__other_capitalization_mismatch(self):
data = {
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.matches("some_database", "some_schema", "SOME_TABLE")
def test_matches__capitalization_mismatch_all(self):
data = {
"path": {
"database": "SOME_DATABASE",
"schema": "SOME_SCHEMA",
"identifier": "SOME_TABLE",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.matches("some_database", "some_schema", "some_table")
def test_matches__capitalization_mismatch_all_other(self):
data = {
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert relation.matches("SOME_DATABASE", "SOME_SCHEMA", "SOME_TABLE")
def test_matches__mismatched_table(self):
data = {
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert not relation.matches("SOME_DATABASE", "SOME_SCHEMA", "TABLE")
def test_matches__other_mismatched_table(self):
data = {
"path": {
"database": "some_database",
"schema": "some_schema",
"identifier": "some_table",
},
"type": None,
}
relation = DatabricksRelation.from_dict(data)
assert not relation.matches("some_database", "some_schema", "table")
class TestRelationsFunctions:
@pytest.mark.parametrize(
"database, expected",
[(None, True), ("hive_metastore", True), ("not_hive", False)],
)
def test_is_hive_metastore(self, database, expected):
assert relation.is_hive_metastore(database) is expected
def test_is_external_table(self):
relation = DatabricksRelation.create(
identifier="external_table", databricks_table_type="external"
)
assert relation.is_external_table is True
def test_is_iceberg(self):
relation = DatabricksRelation.create(
identifier="iceberg_table",
type="table",
metadata={"Provider": "iceberg"},
)
assert relation.is_iceberg is True
def test_is_iceberg_false_for_delta(self):
relation = DatabricksRelation.create(
identifier="delta_table",
type="table",
metadata={"Provider": "delta"},
)
assert relation.is_iceberg is False
def test_is_iceberg_no_metadata(self):
relation = DatabricksRelation.create(
identifier="no_metadata_iceberg_table",
type="table",
metadata=None,
)
assert relation.is_iceberg is False
def test_is_hudi_no_metadata(self):
relation = DatabricksRelation.create(
identifier="no_metadata_hudi_table",
type="table",
metadata=None,
)
assert relation.is_hudi is False
@pytest.mark.parametrize(
"type_, is_delta, is_iceberg, expected_can_be_replaced",
[
("table", True, False, True), # Delta table
("table", False, True, True), # Iceberg table
("table", True, True, True), # Both (shouldn't happen in practice)
("table", False, False, False), # Other table format
("view", False, False, True), # View
("materialized_view", False, False, True), # Materialized view
],
)
def test_can_be_replaced(self, type_, is_delta, is_iceberg, expected_can_be_replaced):
metadata = {}
if is_delta:
metadata["Provider"] = "delta"
elif is_iceberg:
metadata["Provider"] = "iceberg"
else:
metadata["Provider"] = "parquet"
relation = DatabricksRelation.create(
identifier="test_table",
type=type_,
is_delta=is_delta,
metadata=metadata,
)
assert relation.can_be_replaced is expected_can_be_replaced
@pytest.mark.parametrize(
"input, expected",
[
([], set()),
([DatabricksRelation.create(identifier=None)], set()),
(
[
DatabricksRelation.create(identifier=None),
DatabricksRelation.create(identifier="test"),
],
{"test"},
),
(
[
DatabricksRelation.create(identifier="test"),
DatabricksRelation.create(identifier="test"),
],
{"test"},
),
],
)
def test_extract_identifiers(self, input, expected):
assert relation.extract_identifiers(input) == expected
class TestConstraints:
@pytest.fixture
def relation(self):
return DatabricksRelation.create()
@pytest.fixture
def custom_constraint(self):
return CustomConstraint(type=ConstraintType.custom, expression="a > 1")
@pytest.fixture
def check_constraint(self):
return CheckConstraint(type=ConstraintType.check, expression="a > 1")
@pytest.fixture
def pk_constraint(self):
return PrimaryKeyConstraint(type=ConstraintType.primary_key, columns=["a"])
def test_add_constraint__check_is_an_alter_constraint(self, relation, check_constraint):
relation.add_constraint(check_constraint)
assert relation.alter_constraints == [check_constraint]
assert relation.create_constraints == []
def test_add_constraint__other_constraints_are_create_constraints(
self, relation, check_constraint, custom_constraint, pk_constraint
):
relation.add_constraint(check_constraint)
relation.add_constraint(custom_constraint)
relation.add_constraint(pk_constraint)
assert relation.alter_constraints == [check_constraint]
assert relation.create_constraints == [custom_constraint, pk_constraint]
def test_enrich_relation__returns_a_copy(self, relation):
enriched = relation.enrich([])
assert id(enriched) != id(relation)
def test_enrich_relation__adds_constraints(self, relation, check_constraint, custom_constraint):
enriched = relation.enrich([check_constraint, custom_constraint])
assert enriched.alter_constraints == [check_constraint]
assert enriched.create_constraints == [custom_constraint]
def test_render_constraints_for_create__no_constraints(self, relation):
assert relation.render_constraints_for_create() == ""
def test_render_constraints_for_create__check_is_ignored(self, relation, check_constraint):
relation.add_constraint(check_constraint)
assert relation.render_constraints_for_create() == ""
def test_render_constraints_for_create__with_constraints(
self, relation, custom_constraint, pk_constraint
):
relation.add_constraint(custom_constraint)
relation.add_constraint(pk_constraint)
assert relation.render_constraints_for_create() == "a > 1, PRIMARY KEY (a)"
class TestIdentifierLengthValidation:
def test_valid_identifier_length(self):
identifier = "a" * MAX_CHARACTERS_IN_IDENTIFIER
rel = DatabricksRelation.create(identifier=identifier, type="table")
assert rel.identifier == identifier
def test_identifier_too_long_raises(self):
identifier = "a" * (MAX_CHARACTERS_IN_IDENTIFIER + 1)
with pytest.raises(DbtRuntimeError, match="maximum identifier length of 255 characters"):
DatabricksRelation.create(identifier=identifier, type="table")
def test_long_identifier_without_type_is_allowed(self):
identifier = "a" * (MAX_CHARACTERS_IN_IDENTIFIER + 1)
rel = DatabricksRelation.create(identifier=identifier)
assert rel.identifier == identifier
def test_none_identifier_is_allowed(self):
rel = DatabricksRelation.create(identifier=None, type="table")
assert rel.identifier is None
class TestDatabricksRenderLimited:
def test_render_limited_with_empty_no_alias(self):
relation = DatabricksRelation.create(
database="test_catalog",
schema="test_schema",
identifier="test_model",
limit=0,
)
result = relation.render_limited()
expected = "(select * from `test_catalog`.`test_schema`.`test_model` where false limit 0)"
assert result == expected