From 3ee757b949b7f31948270a1bdb7bc60ce82b031c Mon Sep 17 00:00:00 2001 From: Jothi Prakash Date: Mon, 19 May 2025 23:51:28 +0530 Subject: [PATCH 1/9] Support for complex params --- src/databricks/sqlalchemy/__init__.py | 10 +++- src/databricks/sqlalchemy/_types.py | 75 +++++++++++++++++++++++++++ 2 files changed, 83 insertions(+), 2 deletions(-) diff --git a/src/databricks/sqlalchemy/__init__.py b/src/databricks/sqlalchemy/__init__.py index 2a17ac3..81d35d6 100644 --- a/src/databricks/sqlalchemy/__init__.py +++ b/src/databricks/sqlalchemy/__init__.py @@ -1,4 +1,10 @@ from databricks.sqlalchemy.base import DatabricksDialect -from databricks.sqlalchemy._types import TINYINT, TIMESTAMP, TIMESTAMP_NTZ +from databricks.sqlalchemy._types import ( + TINYINT, + TIMESTAMP, + TIMESTAMP_NTZ, + DatabricksArray, + DatabricksMap, +) -__all__ = ["TINYINT", "TIMESTAMP", "TIMESTAMP_NTZ"] +__all__ = ["TINYINT", "TIMESTAMP", "TIMESTAMP_NTZ", "DatabricksArray", "DatabricksMap"] diff --git a/src/databricks/sqlalchemy/_types.py b/src/databricks/sqlalchemy/_types.py index 5fc14a7..1ba0c1e 100644 --- a/src/databricks/sqlalchemy/_types.py +++ b/src/databricks/sqlalchemy/_types.py @@ -5,6 +5,7 @@ import sqlalchemy from sqlalchemy.engine.interfaces import Dialect from sqlalchemy.ext.compiler import compiles +from sqlalchemy.types import TypeDecorator, UserDefinedType from databricks.sql.utils import ParamEscaper @@ -321,3 +322,77 @@ class TINYINT(sqlalchemy.types.TypeDecorator): @compiles(TINYINT, "databricks") def compile_tinyint(type_, compiler, **kw): return "TINYINT" + + +class DatabricksArray(UserDefinedType): + """ + A custom array type that can wrap any other SQLAlchemy type. + + Examples: + DatabricksArray(String) -> ARRAY + DatabricksArray(Integer) -> ARRAY + DatabricksArray(CustomType) -> ARRAY + """ + + def __init__(self, item_type): + self.item_type = item_type() if isinstance(item_type, type) else item_type + + def get_col_spec(self, **kw): + if isinstance(self.item_type, UserDefinedType): + # If it's a UserDefinedType, call its get_col_spec directly + inner_type = self.item_type.get_col_spec(**kw) + elif isinstance(self.item_type, TypeDecorator): + # If it's a TypeDecorator, we need to get its dialect implementation + dialect = kw.get("type_expression", None) + if dialect: + dialect = dialect.dialect + impl = self.item_type.load_dialect_impl(dialect) + # Compile the implementation type + inner_type = impl.compile(dialect=dialect) + else: + # Fallback if no dialect available + inner_type = self.item_type.impl.__class__.__name__.upper() + else: + # For basic SQLAlchemy types, use class name + inner_type = self.item_type.__class__.__name__.upper() + + return f"ARRAY<{inner_type}>" + + +class DatabricksMap(UserDefinedType): + """ + A custom map type that can wrap any other SQLAlchemy types for both key and value. + + Examples: + DatabricksMap(String, String) -> MAP + DatabricksMap(Integer, String) -> MAP + DatabricksMap(String, DatabricksArray(Integer)) -> MAP> + """ + + def __init__(self, key_type, value_type): + self.key_type = key_type() if isinstance(key_type, type) else key_type + self.value_type = value_type() if isinstance(value_type, type) else value_type + + def get_col_spec(self, **kw): + def process_type(type_obj): + if isinstance(type_obj, UserDefinedType): + # If it's a UserDefinedType, call its get_col_spec directly + return type_obj.get_col_spec(**kw) + elif isinstance(type_obj, TypeDecorator): + # If it's a TypeDecorator, we need to get its dialect implementation + dialect = kw.get("type_expression", None) + if dialect: + dialect = dialect.dialect + impl = type_obj.load_dialect_impl(dialect) + # Compile the implementation type + return impl.compile(dialect=dialect) + else: + # Fallback if no dialect available + return type_obj.impl.__class__.__name__.upper() + else: + # For basic SQLAlchemy types, use class name + return type_obj.__class__.__name__.upper() + + key_type = process_type(self.key_type) + value_type = process_type(self.value_type) + return f"MAP<{key_type},{value_type}>" From 7b4cfe005340efe097032d554e30110caf43c818 Mon Sep 17 00:00:00 2001 From: Jothi Prakash Date: Fri, 23 May 2025 21:39:35 +0530 Subject: [PATCH 2/9] More tests --- tests/test_local/test_ddl.py | 23 +++++++++++++++++++++-- 1 file changed, 21 insertions(+), 2 deletions(-) diff --git a/tests/test_local/test_ddl.py b/tests/test_local/test_ddl.py index f596dff..17a4c4e 100644 --- a/tests/test_local/test_ddl.py +++ b/tests/test_local/test_ddl.py @@ -1,5 +1,5 @@ import pytest -from sqlalchemy import Column, MetaData, String, Table, create_engine +from sqlalchemy import Column, MetaData, String, Table, Numeric, create_engine from sqlalchemy.schema import ( CreateTable, DropColumnComment, @@ -7,7 +7,7 @@ SetColumnComment, SetTableComment, ) - +from databricks.sqlalchemy import DatabricksArray,DatabricksMap class DDLTestBase: engine = create_engine( @@ -94,3 +94,22 @@ def test_alter_table_drop_comment(self, table_with_comment): stmt = DropTableComment(table_with_comment) output = self.compile(stmt) assert output == "COMMENT ON TABLE martin IS NULL" + +class TestTableComplexTypeDDL(DDLTestBase): + @pytest.fixture + def metadata(self) -> MetaData: + metadata = MetaData() + col1 = Column("array_array_string",DatabricksArray(DatabricksArray(String))) + col2 = Column("map_string_string",DatabricksMap(String,String)) + col3 = Column("array_array_decimal",DatabricksArray(DatabricksArray(Numeric(10,2)))) + table = Table("complex_type", metadata, col1,col2,col3) + return metadata + + def test_create_table_with_complex_type(self, metadata): + stmt = CreateTable(metadata.tables["complex_type"]) + output = self.compile(stmt) + + print(output) + assert "array_array_string ARRAY>" in output + assert "map_string_string MAP" in output + assert "array_array_decimal ARRAY>" in output \ No newline at end of file From ee8cc2932d88bb01e2a0ab6ff8928238d3945480 Mon Sep 17 00:00:00 2001 From: Jothi Prakash Date: Fri, 23 May 2025 22:52:52 +0530 Subject: [PATCH 3/9] Added better parsing --- src/databricks/sqlalchemy/_types.py | 51 ++++-------------- tests/test_local/test_ddl.py | 19 ++++--- tests/test_local/test_parsing.py | 84 +++++++++++++++++++++++++++++ 3 files changed, 103 insertions(+), 51 deletions(-) diff --git a/src/databricks/sqlalchemy/_types.py b/src/databricks/sqlalchemy/_types.py index 1ba0c1e..ad258f8 100644 --- a/src/databricks/sqlalchemy/_types.py +++ b/src/databricks/sqlalchemy/_types.py @@ -337,26 +337,12 @@ class DatabricksArray(UserDefinedType): def __init__(self, item_type): self.item_type = item_type() if isinstance(item_type, type) else item_type - def get_col_spec(self, **kw): - if isinstance(self.item_type, UserDefinedType): - # If it's a UserDefinedType, call its get_col_spec directly - inner_type = self.item_type.get_col_spec(**kw) - elif isinstance(self.item_type, TypeDecorator): - # If it's a TypeDecorator, we need to get its dialect implementation - dialect = kw.get("type_expression", None) - if dialect: - dialect = dialect.dialect - impl = self.item_type.load_dialect_impl(dialect) - # Compile the implementation type - inner_type = impl.compile(dialect=dialect) - else: - # Fallback if no dialect available - inner_type = self.item_type.impl.__class__.__name__.upper() - else: - # For basic SQLAlchemy types, use class name - inner_type = self.item_type.__class__.__name__.upper() - return f"ARRAY<{inner_type}>" +@compiles(DatabricksArray, "databricks") +def compile_databricks_array(type_, compiler, **kw): + inner = compiler.process(type_.item_type, **kw) + + return f"ARRAY<{inner}>" class DatabricksMap(UserDefinedType): @@ -373,26 +359,9 @@ def __init__(self, key_type, value_type): self.key_type = key_type() if isinstance(key_type, type) else key_type self.value_type = value_type() if isinstance(value_type, type) else value_type - def get_col_spec(self, **kw): - def process_type(type_obj): - if isinstance(type_obj, UserDefinedType): - # If it's a UserDefinedType, call its get_col_spec directly - return type_obj.get_col_spec(**kw) - elif isinstance(type_obj, TypeDecorator): - # If it's a TypeDecorator, we need to get its dialect implementation - dialect = kw.get("type_expression", None) - if dialect: - dialect = dialect.dialect - impl = type_obj.load_dialect_impl(dialect) - # Compile the implementation type - return impl.compile(dialect=dialect) - else: - # Fallback if no dialect available - return type_obj.impl.__class__.__name__.upper() - else: - # For basic SQLAlchemy types, use class name - return type_obj.__class__.__name__.upper() - key_type = process_type(self.key_type) - value_type = process_type(self.value_type) - return f"MAP<{key_type},{value_type}>" +@compiles(DatabricksMap, "databricks") +def compile_databricks_map(type_, compiler, **kw): + key_type = compiler.process(type_.key_type, **kw) + value_type = compiler.process(type_.value_type, **kw) + return f"MAP<{key_type},{value_type}>" diff --git a/tests/test_local/test_ddl.py b/tests/test_local/test_ddl.py index 17a4c4e..0b04c2e 100644 --- a/tests/test_local/test_ddl.py +++ b/tests/test_local/test_ddl.py @@ -1,5 +1,5 @@ import pytest -from sqlalchemy import Column, MetaData, String, Table, Numeric, create_engine +from sqlalchemy import Column, MetaData, String, Table, Numeric, Integer, create_engine from sqlalchemy.schema import ( CreateTable, DropColumnComment, @@ -7,7 +7,8 @@ SetColumnComment, SetTableComment, ) -from databricks.sqlalchemy import DatabricksArray,DatabricksMap +from databricks.sqlalchemy import DatabricksArray, DatabricksMap + class DDLTestBase: engine = create_engine( @@ -95,21 +96,19 @@ def test_alter_table_drop_comment(self, table_with_comment): output = self.compile(stmt) assert output == "COMMENT ON TABLE martin IS NULL" + class TestTableComplexTypeDDL(DDLTestBase): - @pytest.fixture + @pytest.fixture(scope="class") def metadata(self) -> MetaData: metadata = MetaData() - col1 = Column("array_array_string",DatabricksArray(DatabricksArray(String))) - col2 = Column("map_string_string",DatabricksMap(String,String)) - col3 = Column("array_array_decimal",DatabricksArray(DatabricksArray(Numeric(10,2)))) - table = Table("complex_type", metadata, col1,col2,col3) + col1 = Column("array_array_string", DatabricksArray(DatabricksArray(String))) + col2 = Column("map_string_string", DatabricksMap(String, String)) + table = Table("complex_type", metadata, col1, col2) return metadata - + def test_create_table_with_complex_type(self, metadata): stmt = CreateTable(metadata.tables["complex_type"]) output = self.compile(stmt) - print(output) assert "array_array_string ARRAY>" in output assert "map_string_string MAP" in output - assert "array_array_decimal ARRAY>" in output \ No newline at end of file diff --git a/tests/test_local/test_parsing.py b/tests/test_local/test_parsing.py index c8ab443..271abb6 100644 --- a/tests/test_local/test_parsing.py +++ b/tests/test_local/test_parsing.py @@ -9,7 +9,29 @@ get_comment_from_dte_output, DatabricksSqlAlchemyParseException, ) +from sqlalchemy import ( + BigInteger, + Boolean, + Column, + Date, + DateTime, + Integer, + Numeric, + String, + Time, + Uuid, +) + +from databricks.sqlalchemy import ( + DatabricksArray, + TIMESTAMP, + TINYINT, + DatabricksMap, + TIMESTAMP_NTZ, +) +from databricks.sqlalchemy import DatabricksDialect +dialect = DatabricksDialect() # These are outputs from DESCRIBE TABLE EXTENDED @pytest.mark.parametrize( @@ -158,3 +180,65 @@ def test_filter_dict_by_value(match, output): def test_get_comment_from_dte_output(): assert get_comment_from_dte_output(FMT_SAMPLE_DT_OUTPUT) == "some comment" + + +def get_databricks_non_compound_types(): + return [ + Integer, + String, + Boolean, + Date, + DateTime, + Time, + Uuid, + Numeric, + TINYINT, + TIMESTAMP, + TIMESTAMP_NTZ, + ] + + +@pytest.mark.parametrize("internal_type", get_databricks_non_compound_types()) +def test_array_parsing(internal_type): + array_type = DatabricksArray(internal_type()) + + actual_parsed = array_type.compile(dialect=dialect) + expected_parsed = "ARRAY<{}>".format(internal_type().compile(dialect=dialect)) + assert actual_parsed == expected_parsed + + +@pytest.mark.parametrize("internal_type_1", get_databricks_non_compound_types()) +@pytest.mark.parametrize("internal_type_2", get_databricks_non_compound_types()) +def test_map_parsing(internal_type_1, internal_type_2): + map_type = DatabricksMap(internal_type_1(), internal_type_2()) + + actual_parsed = map_type.compile(dialect=dialect) + expected_parsed = "MAP<{},{}>".format( + internal_type_1().compile(dialect=dialect), + internal_type_2().compile(dialect=dialect), + ) + assert actual_parsed == expected_parsed + + +@pytest.mark.parametrize("internal_type", get_databricks_non_compound_types()) +def test_multilevel_array_type_parsing(internal_type): + array_type = DatabricksArray(DatabricksArray(DatabricksArray(internal_type()))) + + actual_parsed = array_type.compile(dialect=dialect) + expected_parsed = "ARRAY>>".format( + internal_type().compile(dialect=dialect) + ) + assert actual_parsed == expected_parsed + + +@pytest.mark.parametrize("internal_type", get_databricks_non_compound_types()) +def test_multilevel_map_type_parsing(internal_type): + map_type = DatabricksMap( + String, DatabricksMap(String, DatabricksMap(String, internal_type())) + ) + + actual_parsed = map_type.compile(dialect=dialect) + expected_parsed = "MAP>>".format( + internal_type().compile(dialect=dialect) + ) + assert actual_parsed == expected_parsed From 50841bb87a7fc4e6a9f9dea2bd04a8949be7a5ae Mon Sep 17 00:00:00 2001 From: Jothi Prakash Date: Fri, 23 May 2025 23:57:48 +0530 Subject: [PATCH 4/9] nit --- tests/test_local/test_parsing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_local/test_parsing.py b/tests/test_local/test_parsing.py index 271abb6..77fd322 100644 --- a/tests/test_local/test_parsing.py +++ b/tests/test_local/test_parsing.py @@ -12,7 +12,6 @@ from sqlalchemy import ( BigInteger, Boolean, - Column, Date, DateTime, Integer, @@ -195,6 +194,7 @@ def get_databricks_non_compound_types(): TINYINT, TIMESTAMP, TIMESTAMP_NTZ, + BigInteger ] From dae6b3e3909849afd447055a4e2d2f20721197c5 Mon Sep 17 00:00:00 2001 From: Jothi Prakash Date: Sat, 7 Jun 2025 14:56:36 +0530 Subject: [PATCH 5/9] e2e tests --- src/databricks/sqlalchemy/_types.py | 32 +++ tests/test_local/e2e/__init__.py | 0 tests/test_local/e2e/test_complex_types.py | 214 +++++++++++++++++++++ tests/test_local/e2e/test_setup.py | 31 +++ tests/test_local/test_parsing.py | 2 +- 5 files changed, 278 insertions(+), 1 deletion(-) create mode 100644 tests/test_local/e2e/__init__.py create mode 100644 tests/test_local/e2e/test_complex_types.py create mode 100644 tests/test_local/e2e/test_setup.py diff --git a/src/databricks/sqlalchemy/_types.py b/src/databricks/sqlalchemy/_types.py index ad258f8..bc996bb 100644 --- a/src/databricks/sqlalchemy/_types.py +++ b/src/databricks/sqlalchemy/_types.py @@ -27,6 +27,11 @@ def process_literal_param_hack(value: Any): return value +def identity_processor(value): + """This method returns the value itself, when no other processor is provided""" + return value + + @compiles(sqlalchemy.types.Enum, "databricks") @compiles(sqlalchemy.types.String, "databricks") @compiles(sqlalchemy.types.Text, "databricks") @@ -337,6 +342,16 @@ class DatabricksArray(UserDefinedType): def __init__(self, item_type): self.item_type = item_type() if isinstance(item_type, type) else item_type + def bind_processor(self, dialect): + item_processor = self.item_type.bind_processor(dialect) + if item_processor is None: + item_processor = identity_processor + + def process(value): + return [item_processor(val) for val in value] + + return process + @compiles(DatabricksArray, "databricks") def compile_databricks_array(type_, compiler, **kw): @@ -359,6 +374,23 @@ def __init__(self, key_type, value_type): self.key_type = key_type() if isinstance(key_type, type) else key_type self.value_type = value_type() if isinstance(value_type, type) else value_type + def bind_processor(self, dialect): + key_processor = self.key_type.bind_processor(dialect) + value_processor = self.value_type.bind_processor(dialect) + + if key_processor is None: + key_processor = identity_processor + if value_processor is None: + value_processor = identity_processor + + def process(value): + return { + key_processor(key): value_processor(value) + for key, value in value.items() + } + + return process + @compiles(DatabricksMap, "databricks") def compile_databricks_map(type_, compiler, **kw): diff --git a/tests/test_local/e2e/__init__.py b/tests/test_local/e2e/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_local/e2e/test_complex_types.py b/tests/test_local/e2e/test_complex_types.py new file mode 100644 index 0000000..4d51b85 --- /dev/null +++ b/tests/test_local/e2e/test_complex_types.py @@ -0,0 +1,214 @@ +from .test_setup import TestSetup +from sqlalchemy import ( + Column, + BigInteger, + String, + Integer, + Numeric, + Boolean, + Date, + TIMESTAMP, + DateTime, +) +from collections.abc import Sequence +from databricks.sqlalchemy import TIMESTAMP, TINYINT, DatabricksArray, DatabricksMap +from sqlalchemy.orm import DeclarativeBase, Session +from sqlalchemy import select +from datetime import date, datetime, time, timedelta, timezone +import pandas as pd +import numpy as np +import decimal + + +class TestComplexTypes(TestSetup): + def _parse_to_common_type(self, value): + """ + Function to convert the :value passed into a common python datatype for comparison + + Convertion fyi + MAP Datatype on server is returned as a list of tuples + Ex: + {"a":1,"b":2} -> [("a",1),("b",2)] + + ARRAY Datatype on server is returned as a numpy array + Ex: + ["a","b","c"] -> np.array(["a","b","c"],dtype=object) + + Primitive datatype on server is returned as a numpy primitive + Ex: + 1 -> np.int64(1) + 2 -> np.int32(2) + """ + if value is None: + return None + elif isinstance(value, (Sequence, np.ndarray)) and not isinstance( + value, (str, bytes) + ): + return tuple(value) + elif isinstance(value, dict): + return tuple(value.items()) + elif isinstance(value, np.generic): + return value.item() + elif isinstance(value, decimal.Decimal): + return float(value) + else: + return value + + def _recursive_compare(self, actual, expected): + """ + Function to compare the :actual and :expected values, recursively checks and ensures that all the data matches till the leaf level + + Note: Complex datatype like MAP is not returned as a dictionary but as a list of tuples + """ + actual_parsed = self._parse_to_common_type(actual) + expected_parsed = self._parse_to_common_type(expected) + + print("LINE 66") + print(actual_parsed, expected_parsed) + print(type(actual_parsed), type(expected_parsed)) + # Check if types are the same + if type(actual_parsed) != type(expected_parsed): + return False + + # Handle lists or tuples + if isinstance(actual_parsed, (list, tuple)): + if len(actual_parsed) != len(expected_parsed): + return False + return all( + self._recursive_compare(o1, o2) + for o1, o2 in zip(actual_parsed, expected_parsed) + ) + + return actual_parsed == expected_parsed + + def sample_array_table(self) -> tuple[DeclarativeBase, dict]: + class Base(DeclarativeBase): + pass + + class ArrayTable(Base): + __tablename__ = "sqlalchemy_array_table" + + int_col = Column(Integer, primary_key=True) + array_int_col = Column(DatabricksArray(Integer)) + array_bigint_col = Column(DatabricksArray(BigInteger)) + array_numeric_col = Column(DatabricksArray(Numeric(10, 2))) + array_string_col = Column(DatabricksArray(String)) + array_boolean_col = Column(DatabricksArray(Boolean)) + array_date_col = Column(DatabricksArray(Date)) + array_datetime_col = Column(DatabricksArray(TIMESTAMP)) + array_datetime_col_ntz = Column(DatabricksArray(DateTime)) + array_tinyint_col = Column(DatabricksArray(TINYINT)) + + sample_data = { + "int_col": 1, + "array_int_col": [1, 2], + "array_bigint_col": [1234567890123456789, 2345678901234567890], + "array_numeric_col": [1.1, 2.2], + "array_string_col": ["a", "b"], + "array_boolean_col": [True, False], + "array_date_col": [date(2020, 12, 25), date(2021, 1, 2)], + "array_datetime_col": [ + datetime(1991, 8, 3, 21, 30, 5, tzinfo=timezone(timedelta(hours=-8))), + datetime(1991, 8, 3, 21, 30, 5, tzinfo=timezone(timedelta(hours=-8))), + ], + "array_datetime_col_ntz": [ + datetime(1990, 12, 4, 6, 33, 41), + datetime(1990, 12, 4, 6, 33, 41), + ], + "array_tinyint_col": [-100, 100], + } + + return ArrayTable, sample_data + + def sample_map_table(self) -> tuple[DeclarativeBase, dict]: + class Base(DeclarativeBase): + pass + + class MapTable(Base): + __tablename__ = "sqlalchemy_map_table" + + int_col = Column(Integer, primary_key=True) + map_int_col = Column(DatabricksMap(Integer, Integer)) + map_bigint_col = Column(DatabricksMap(Integer, BigInteger)) + map_numeric_col = Column(DatabricksMap(Integer, Numeric(10, 2))) + map_string_col = Column(DatabricksMap(Integer, String)) + map_boolean_col = Column(DatabricksMap(Integer, Boolean)) + map_date_col = Column(DatabricksMap(Integer, Date)) + map_datetime_col = Column(DatabricksMap(Integer, TIMESTAMP)) + map_datetime_col_ntz = Column(DatabricksMap(Integer, DateTime)) + map_tinyint_col = Column(DatabricksMap(Integer, TINYINT)) + + sample_data = { + "int_col": 1, + "map_int_col": {1: 1}, + "map_bigint_col": {1: 1234567890123456789}, + "map_numeric_col": {1: 1.1}, + "map_string_col": {1: "a"}, + "map_boolean_col": {1: True}, + "map_date_col": {1: date(2020, 12, 25)}, + "map_datetime_col": { + 1: datetime(1991, 8, 3, 21, 30, 5, tzinfo=timezone(timedelta(hours=-8))) + }, + "map_datetime_col_ntz": {1: datetime(1990, 12, 4, 6, 33, 41)}, + "map_tinyint_col": {1: -100}, + } + + return MapTable, sample_data + + def test_insert_array_table_sqlalchemy(self): + table, sample_data = self.sample_array_table() + + with self.table_context(table) as engine: + sa_obj = table(**sample_data) + session = Session(engine) + session.add(sa_obj) + session.commit() + + stmt = select(table).where(table.int_col == 1) + + result = session.scalar(stmt) + + compare = {key: getattr(result, key) for key in sample_data.keys()} + assert self._recursive_compare(compare, sample_data) + + def test_insert_map_table_sqlalchemy(self): + table, sample_data = self.sample_map_table() + + with self.table_context(table) as engine: + sa_obj = table(**sample_data) + session = Session(engine) + session.add(sa_obj) + session.commit() + + stmt = select(table).where(table.int_col == 1) + + result = session.scalar(stmt) + + compare = {key: getattr(result, key) for key in sample_data.keys()} + assert self._recursive_compare(compare, sample_data) + + def test_array_table_creation_pandas(self): + table, sample_data = self.sample_array_table() + + with self.table_context(table) as engine: + # Insert the data into the table + df = pd.DataFrame([sample_data]) + df.to_sql(table.__tablename__, engine, if_exists="append", index=False) + + # Read the data from the table + stmt = select(table) + df_result = pd.read_sql(stmt, engine) + assert self._recursive_compare(df_result.iloc[0].to_dict(), sample_data) + + def test_map_table_creation_pandas(self): + table, sample_data = self.sample_map_table() + + with self.table_context(table) as engine: + # Insert the data into the table + df = pd.DataFrame([sample_data]) + df.to_sql(table.__tablename__, engine, if_exists="append", index=False) + + # Read the data from the table + stmt = select(table) + df_result = pd.read_sql(stmt, engine) + assert self._recursive_compare(df_result.iloc[0].to_dict(), sample_data) diff --git a/tests/test_local/e2e/test_setup.py b/tests/test_local/e2e/test_setup.py new file mode 100644 index 0000000..94a37aa --- /dev/null +++ b/tests/test_local/e2e/test_setup.py @@ -0,0 +1,31 @@ +import pytest +from sqlalchemy import create_engine, Engine +from contextlib import contextmanager +from sqlalchemy.orm import DeclarativeBase, Session + + +class TestSetup: + @pytest.fixture(autouse=True) + def get_details(self, connection_details): + self.arguments = connection_details.copy() + + def db_engine(self) -> Engine: + HOST = self.arguments["host"] + HTTP_PATH = self.arguments["http_path"] + ACCESS_TOKEN = self.arguments["access_token"] + CATALOG = self.arguments["catalog"] + SCHEMA = self.arguments["schema"] + + connect_args = {"_user_agent_entry": "SQLAlchemy e2e Tests"} + + conn_string = f"databricks://token:{ACCESS_TOKEN}@{HOST}?http_path={HTTP_PATH}&catalog={CATALOG}&schema={SCHEMA}" + return create_engine(conn_string, connect_args=connect_args) + + @contextmanager + def table_context(self, table: DeclarativeBase): + engine = self.db_engine() + table.metadata.create_all(engine) + try: + yield engine + finally: + table.metadata.drop_all(engine) diff --git a/tests/test_local/test_parsing.py b/tests/test_local/test_parsing.py index 77fd322..b2ebbda 100644 --- a/tests/test_local/test_parsing.py +++ b/tests/test_local/test_parsing.py @@ -194,7 +194,7 @@ def get_databricks_non_compound_types(): TINYINT, TIMESTAMP, TIMESTAMP_NTZ, - BigInteger + BigInteger, ] From 514cfbca9d5c035664d61cd3a37716fac57adf50 Mon Sep 17 00:00:00 2001 From: Jothi Prakash Date: Sat, 7 Jun 2025 14:58:32 +0530 Subject: [PATCH 6/9] nit --- tests/test_local/e2e/test_complex_types.py | 3 --- 1 file changed, 3 deletions(-) diff --git a/tests/test_local/e2e/test_complex_types.py b/tests/test_local/e2e/test_complex_types.py index 4d51b85..22cc57a 100644 --- a/tests/test_local/e2e/test_complex_types.py +++ b/tests/test_local/e2e/test_complex_types.py @@ -63,9 +63,6 @@ def _recursive_compare(self, actual, expected): actual_parsed = self._parse_to_common_type(actual) expected_parsed = self._parse_to_common_type(expected) - print("LINE 66") - print(actual_parsed, expected_parsed) - print(type(actual_parsed), type(expected_parsed)) # Check if types are the same if type(actual_parsed) != type(expected_parsed): return False From 192df144fb7663b95d23f374905d9bfe1dd541e7 Mon Sep 17 00:00:00 2001 From: Jothi Prakash Date: Mon, 16 Jun 2025 16:40:39 +0530 Subject: [PATCH 7/9] Updated poetry.lock --- poetry.lock | 603 +++++++++++++++++++++++----------------------------- 1 file changed, 268 insertions(+), 335 deletions(-) diff --git a/poetry.lock b/poetry.lock index 4d7ae9e..0b4d905 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "astroid" @@ -6,7 +6,6 @@ version = "3.2.4" description = "An abstract syntax tree for Python with inference support." optional = false python-versions = ">=3.8.0" -groups = ["dev"] files = [ {file = "astroid-3.2.4-py3-none-any.whl", hash = "sha256:413658a61eeca6202a59231abb473f932038fbcbf1666587f66d482083413a25"}, {file = "astroid-3.2.4.tar.gz", hash = "sha256:0e14202810b30da1b735827f78f5157be2bbd4a7a59b7707ca0bfc2fb4c0063a"}, @@ -21,7 +20,6 @@ version = "22.12.0" description = "The uncompromising code formatter." optional = false python-versions = ">=3.7" -groups = ["dev"] files = [ {file = "black-22.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9eedd20838bd5d75b80c9f5487dbcb06836a43833a37846cf1d8c1cc01cef59d"}, {file = "black-22.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:159a46a4947f73387b4d83e87ea006dbb2337eab6c879620a3ba52699b1f4351"}, @@ -53,116 +51,114 @@ uvloop = ["uvloop (>=0.15.2)"] [[package]] name = "certifi" -version = "2024.12.14" +version = "2025.6.15" description = "Python package for providing Mozilla's CA Bundle." optional = false -python-versions = ">=3.6" -groups = ["main"] +python-versions = ">=3.7" files = [ - {file = "certifi-2024.12.14-py3-none-any.whl", hash = "sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"}, - {file = "certifi-2024.12.14.tar.gz", hash = "sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"}, + {file = "certifi-2025.6.15-py3-none-any.whl", hash = "sha256:2e0c7ce7cb5d8f8634ca55d2ba7e6ec2689a2fd6537d8dec1296a477a4910057"}, + {file = "certifi-2025.6.15.tar.gz", hash = "sha256:d747aa5a8b9bbbb1bb8c22bb13e22bd1f18e9796defa16bab421f7f7a317323b"}, ] [[package]] name = "charset-normalizer" -version = "3.4.1" +version = "3.4.2" description = "The Real First Universal Charset Detector. 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description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "urllib3-2.2.3-py3-none-any.whl", hash = "sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"}, {file = "urllib3-2.2.3.tar.gz", hash = "sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"}, ] [package.extras] -brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = "^3.8.0" content-hash = "e5696664110f4ef1f07b0592e54e60b9945ab9e39a4a07e3d8b315de284b7ed7" From 264c1fdf0ee8baf8eb328a95de5e1b928ea9a9da Mon Sep 17 00:00:00 2001 From: Jothi Prakash Date: Tue, 17 Jun 2025 13:02:00 +0530 Subject: [PATCH 9/9] more tests --- tests/test_local/test_parsing.py | 56 +++++++++++++++++++------------- 1 file changed, 33 insertions(+), 23 deletions(-) diff --git a/tests/test_local/test_parsing.py b/tests/test_local/test_parsing.py index b2ebbda..026b6a4 100644 --- a/tests/test_local/test_parsing.py +++ b/tests/test_local/test_parsing.py @@ -183,62 +183,72 @@ def test_get_comment_from_dte_output(): def get_databricks_non_compound_types(): return [ - Integer, - String, - Boolean, - Date, - DateTime, - Time, - Uuid, - Numeric, - TINYINT, - TIMESTAMP, - TIMESTAMP_NTZ, - BigInteger, + Integer(), + String(), + Boolean(), + Date(), + DateTime(), + Time(), + Uuid(), + Numeric(), + TINYINT(), + TIMESTAMP(), + TIMESTAMP_NTZ(), + BigInteger(), ] +def get_databricks_compound_types(): + return [DatabricksArray(String), DatabricksMap(String, String)] + + @pytest.mark.parametrize("internal_type", get_databricks_non_compound_types()) def test_array_parsing(internal_type): - array_type = DatabricksArray(internal_type()) + array_type = DatabricksArray(internal_type) actual_parsed = array_type.compile(dialect=dialect) - expected_parsed = "ARRAY<{}>".format(internal_type().compile(dialect=dialect)) + expected_parsed = "ARRAY<{}>".format(internal_type.compile(dialect=dialect)) assert actual_parsed == expected_parsed @pytest.mark.parametrize("internal_type_1", get_databricks_non_compound_types()) @pytest.mark.parametrize("internal_type_2", get_databricks_non_compound_types()) def test_map_parsing(internal_type_1, internal_type_2): - map_type = DatabricksMap(internal_type_1(), internal_type_2()) + map_type = DatabricksMap(internal_type_1, internal_type_2) actual_parsed = map_type.compile(dialect=dialect) expected_parsed = "MAP<{},{}>".format( - internal_type_1().compile(dialect=dialect), - internal_type_2().compile(dialect=dialect), + internal_type_1.compile(dialect=dialect), + internal_type_2.compile(dialect=dialect), ) assert actual_parsed == expected_parsed -@pytest.mark.parametrize("internal_type", get_databricks_non_compound_types()) +@pytest.mark.parametrize( + "internal_type", + get_databricks_non_compound_types() + get_databricks_compound_types(), +) def test_multilevel_array_type_parsing(internal_type): - array_type = DatabricksArray(DatabricksArray(DatabricksArray(internal_type()))) + array_type = DatabricksArray(DatabricksArray(DatabricksArray(internal_type))) actual_parsed = array_type.compile(dialect=dialect) expected_parsed = "ARRAY>>".format( - internal_type().compile(dialect=dialect) + internal_type.compile(dialect=dialect) ) assert actual_parsed == expected_parsed -@pytest.mark.parametrize("internal_type", get_databricks_non_compound_types()) +@pytest.mark.parametrize( + "internal_type", + get_databricks_non_compound_types() + get_databricks_compound_types(), +) def test_multilevel_map_type_parsing(internal_type): map_type = DatabricksMap( - String, DatabricksMap(String, DatabricksMap(String, internal_type())) + String, DatabricksMap(String, DatabricksMap(String, internal_type)) ) actual_parsed = map_type.compile(dialect=dialect) expected_parsed = "MAP>>".format( - internal_type().compile(dialect=dialect) + internal_type.compile(dialect=dialect) ) assert actual_parsed == expected_parsed