diff --git a/README.md b/README.md index 45251507..b2b50ab8 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ [![PyPI](https://img.shields.io/pypi/v/databricks-sql-connector?style=flat-square)](https://pypi.org/project/databricks-sql-connector/) [![Downloads](https://pepy.tech/badge/databricks-sql-connector)](https://pepy.tech/project/databricks-sql-connector) -The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or JDBC. It conforms to the [Python DB API 2.0 specification](https://www.python.org/dev/peps/pep-0249/). +The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or JDBC. It conforms to the [Python DB API 2.0 specification](https://www.python.org/dev/peps/pep-0249/) and exposes a [SQLAlchemy](https://www.sqlalchemy.org/) dialect for use with tools like `pandas` and `alembic` which use SQLAlchemy to execute DDL. This connector uses Arrow as the data-exchange format, and supports APIs to directly fetch Arrow tables. Arrow tables are wrapped in the `ArrowQueue` class to provide a natural API to get several rows at a time. @@ -24,16 +24,27 @@ For the latest documentation, see Install the library with `pip install databricks-sql-connector` -Example usage: +Note: Don't hard-code authentication secrets into your Python. Use environment variables + +```bash +export DATABRICKS_HOST=********.databricks.com +export DATABRICKS_HTTP_PATH=/sql/1.0/endpoints/**************** +export DATABRICKS_TOKEN=dapi******************************** +``` +Example usage: ```python +import os from databricks import sql -connection = sql.connect( - server_hostname='********.databricks.com', - http_path='/sql/1.0/endpoints/****************', - access_token='dapi********************************') +host = os.getenv("DATABRICKS_HOST) +http_path = os.getenv("DATABRICKS_HTTP_PATH) +access_token = os.getenv("DATABRICKS_ACCESS_TOKEN) +connection = sql.connect( + server_hostname=host, + http_path=http_path, + access_token=access_token) cursor = connection.cursor() diff --git a/examples/README.md b/examples/README.md index c4fe8ad6..d931e564 100644 --- a/examples/README.md +++ b/examples/README.md @@ -36,4 +36,5 @@ To run all of these examples you can clone the entire repository to your disk. O - **`persistent_oauth.py`** shows a more advanced example of authenticating by OAuth while Bring Your Own IDP is in public preview. In this case, it shows how to use a sublcass of `OAuthPersistence` to reuse an OAuth token across script executions. - **`set_user_agent.py`** shows how to customize the user agent header used for Thrift commands. In this example the string `ExamplePartnerTag` will be added to the the user agent on every request. -- **`staging_ingestion.py`** shows how the connector handles Databricks' experimental staging ingestion commands `GET`, `PUT`, and `REMOVE`. \ No newline at end of file +- **`staging_ingestion.py`** shows how the connector handles Databricks' experimental staging ingestion commands `GET`, `PUT`, and `REMOVE`. +- **`sqlalchemy.py`** shows a basic example of connecting to Databricks with [SQLAlchemy](https://www.sqlalchemy.org/). diff --git a/examples/sqlalchemy.py b/examples/sqlalchemy.py new file mode 100644 index 00000000..b45d2aa4 --- /dev/null +++ b/examples/sqlalchemy.py @@ -0,0 +1,92 @@ +""" +databricks-sql-connector includes a SQLAlchemy dialect compatible with Databricks SQL. +It aims to be a drop-in replacement for the crflynn/sqlalchemy-databricks project, that implements +more of the Databricks API, particularly around table reflection, Alembic usage, and data +ingestion with pandas. + +Because of the extent of SQLAlchemy's capabilities it isn't feasible to provide examples of every +usage in a single script, so we only provide a basic one here. More examples are found in our test +suite at tests/e2e/sqlalchemy/test_basic.py and in the PR that implements this change: + +https://github.com/databricks/databricks-sql-python/pull/57 + +# What's already supported + +Most of the functionality is demonstrated in the e2e tests mentioned above. The below list we +derived from those test method names: + + - Create and drop tables with SQLAlchemy Core + - Create and drop tables with SQLAlchemy ORM + - Read created tables via reflection + - Modify column nullability + - Insert records manually + - Insert records with pandas.to_sql (note that this does not work for DataFrames with indexes) + +This connector also aims to support Alembic for programmatic delta table schema maintenance. This +behaviour is not yet backed by integration tests, which will follow in a subsequent PR as we learn +more about customer use cases there. That said, the following behaviours have been tested manually: + + - Autogenerate revisions with alembic revision --autogenerate + - Upgrade and downgrade between revisions with `alembic upgrade ` and + `alembic downgrade ` + +# Known Gaps + - MAP, ARRAY, and STRUCT types: this dialect can read these types out as strings. But you cannot + define a SQLAlchemy model with databricks.sqlalchemy.dialect.types.DatabricksMap (e.g.) because + we haven't implemented them yet. + - Constraints: with the addition of information_schema to Unity Catalog, Databricks SQL supports + foreign key and primary key constraints. This dialect can write these constraints but the ability + for alembic to reflect and modify them programmatically has not been tested. +""" + +import os +from sqlalchemy.orm import declarative_base, Session +from sqlalchemy import Column, String, Integer, BOOLEAN, create_engine, select + +host = os.getenv("DATABRICKS_SERVER_HOSTNAME") +http_path = os.getenv("DATABRICKS_HTTP_PATH") +access_token = os.getenv("DATABRICKS_TOKEN") +catalog = os.getenv("DATABRICKS_CATALOG") +schema = os.getenv("DATABRICKS_SCHEMA") + + +# Extra arguments are passed untouched to the driver +# See thrift_backend.py for complete list +extra_connect_args = { + "_tls_verify_hostname": True, + "_user_agent_entry": "PySQL Example Script", +} + +engine = create_engine( + f"databricks://token:{access_token}@{host}?http_path={http_path}&catalog={catalog}&schema={schema}", + connect_args=extra_connect_args, +) +session = Session(bind=engine) +base = declarative_base(bind=engine) + + +class SampleObject(base): + + __tablename__ = "mySampleTable" + + name = Column(String(255), primary_key=True) + episodes = Column(Integer) + some_bool = Column(BOOLEAN) + + +base.metadata.create_all() + +sample_object_1 = SampleObject(name="Bim Adewunmi", episodes=6, some_bool=True) +sample_object_2 = SampleObject(name="Miki Meek", episodes=12, some_bool=False) + +session.add(sample_object_1) +session.add(sample_object_2) + +session.commit() + +stmt = select(SampleObject).where(SampleObject.name.in_(["Bim Adewunmi", "Miki Meek"])) + +output = [i for i in session.scalars(stmt)] +assert len(output) == 2 + +base.metadata.drop_all() diff --git a/poetry.lock b/poetry.lock index 3ab1c15b..44a151df 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,3 +1,20 @@ +[[package]] +name = "alembic" +version = "1.9.4" +description = "A database migration tool for SQLAlchemy." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +importlib-metadata = {version = "*", markers = "python_version < \"3.9\""} +importlib-resources = {version = "*", markers = "python_version < \"3.9\""} +Mako = "*" +SQLAlchemy = ">=1.3.0" + +[package.extras] +tz = ["python-dateutil"] + [[package]] name = "astroid" version = "2.11.7" @@ -61,14 +78,11 @@ python-versions = ">=3.6" [[package]] name = "charset-normalizer" -version = "2.1.1" +version = "3.0.1" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." category = "main" optional = false -python-versions = ">=3.6.0" - -[package.extras] -unicode-backport = ["unicodedata2"] +python-versions = "*" [[package]] name = "click" @@ -101,6 +115,14 @@ python-versions = ">=3.7" [package.extras] graph = ["objgraph (>=1.7.2)"] +[[package]] +name = "et-xmlfile" +version = "1.1.0" +description = "An implementation of lxml.xmlfile for the standard library" +category = "main" +optional = false +python-versions = ">=3.6" + [[package]] name = "exceptiongroup" version = "1.1.0" @@ -112,6 +134,18 @@ python-versions = ">=3.7" [package.extras] test = ["pytest (>=6)"] +[[package]] +name = "greenlet" +version = "2.0.2" +description = "Lightweight in-process concurrent programming" +category = "main" +optional = false +python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*" + +[package.extras] +docs = ["Sphinx", "docutils (<0.18)"] +test = ["objgraph", "psutil"] + [[package]] name = "idna" version = "3.4" @@ -124,7 +158,7 @@ python-versions = ">=3.5" name = "importlib-metadata" version = "6.0.0" description = "Read metadata from Python packages" -category = "dev" +category = "main" optional = false python-versions = ">=3.7" @@ -137,6 +171,21 @@ docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker perf = ["ipython"] testing = ["flake8 (<5)", "flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)"] +[[package]] +name = "importlib-resources" +version = "5.12.0" +description = "Read resources from Python packages" +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""} + +[package.extras] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["flake8 (<5)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] + [[package]] name = "iniconfig" version = "2.0.0" @@ -147,7 +196,7 @@ python-versions = ">=3.7" [[package]] name = "isort" -version = "5.11.4" +version = "5.11.5" description = "A Python utility / library to sort Python imports." category = "dev" optional = false @@ -155,7 +204,7 @@ python-versions = ">=3.7.0" [package.extras] colors = ["colorama (>=0.4.3,<0.5.0)"] -pipfile-deprecated-finder = ["pipreqs", "requirementslib"] +pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"] plugins = ["setuptools"] requirements-deprecated-finder = ["pip-api", "pipreqs"] @@ -180,6 +229,31 @@ docs = ["sphinx (>=1.6.0)", "sphinx-bootstrap-theme"] flake8 = ["flake8"] tests = ["psutil", "pytest (!=3.3.0)", "pytest-cov"] +[[package]] +name = "mako" +version = "1.2.4" +description = "A super-fast templating language that borrows the best ideas from the existing templating languages." +category = "main" +optional = false +python-versions = ">=3.7" + +[package.dependencies] +importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} +MarkupSafe = ">=0.9.2" + +[package.extras] +babel = ["Babel"] +lingua = ["lingua"] +testing = ["pytest"] + +[[package]] +name = "markupsafe" +version = "2.1.2" +description = "Safely add untrusted strings to HTML/XML markup." +category = "main" +optional = false +python-versions = ">=3.7" + [[package]] name = "mccabe" version = "0.7.0" @@ -209,11 +283,11 @@ reports = ["lxml"] [[package]] name = "mypy-extensions" -version = "0.4.3" -description = "Experimental type system extensions for programs checked with the mypy typechecker." +version = "1.0.0" +description = "Type system extensions for programs checked with the mypy type checker." category = "dev" optional = false -python-versions = "*" +python-versions = ">=3.5" [[package]] name = "numpy" @@ -244,6 +318,17 @@ rsa = ["cryptography (>=3.0.0)"] signals = ["blinker (>=1.4.0)"] signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"] +[[package]] +name = "openpyxl" +version = "3.1.1" +description = "A Python library to read/write Excel 2010 xlsx/xlsm files" +category = "main" +optional = false +python-versions = ">=3.6" + +[package.dependencies] +et-xmlfile = "*" + [[package]] name = "packaging" version = "23.0" @@ -275,7 +360,7 @@ test = ["hypothesis (>=3.58)", "pytest (>=6.0)", "pytest-xdist"] [[package]] name = "pathspec" -version = "0.10.3" +version = "0.11.0" description = "Utility library for gitignore style pattern matching of file paths." category = "dev" optional = false @@ -283,7 +368,7 @@ python-versions = ">=3.7" [[package]] name = "platformdirs" -version = "2.6.2" +version = "3.0.0" description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"." category = "dev" optional = false @@ -293,8 +378,8 @@ python-versions = ">=3.7" typing-extensions = {version = ">=4.4", markers = "python_version < \"3.8\""} [package.extras] -docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=5.3)", "sphinx-autodoc-typehints (>=1.19.5)"] -test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"] +docs = ["furo (>=2022.12.7)", "proselint (>=0.13)", "sphinx (>=6.1.3)", "sphinx-autodoc-typehints (>=1.22,!=1.23.4)"] +test = ["appdirs (==1.4.4)", "covdefaults (>=2.2.2)", "pytest (>=7.2.1)", "pytest-cov (>=4)", "pytest-mock (>=3.10)"] [[package]] name = "pluggy" @@ -313,7 +398,7 @@ testing = ["pytest", "pytest-benchmark"] [[package]] name = "pyarrow" -version = "10.0.1" +version = "11.0.0" description = "Python library for Apache Arrow" category = "main" optional = false @@ -345,7 +430,7 @@ testutil = ["gitpython (>3)"] [[package]] name = "pytest" -version = "7.2.0" +version = "7.2.1" description = "pytest: simple powerful testing with Python" category = "dev" optional = false @@ -377,7 +462,7 @@ six = ">=1.5" [[package]] name = "pytz" -version = "2022.7" +version = "2022.7.1" description = "World timezone definitions, modern and historical" category = "main" optional = false @@ -385,7 +470,7 @@ python-versions = "*" [[package]] name = "requests" -version = "2.28.1" +version = "2.28.2" description = "Python HTTP for Humans." category = "main" optional = false @@ -393,7 +478,7 @@ python-versions = ">=3.7, <4" [package.dependencies] certifi = ">=2017.4.17" -charset-normalizer = ">=2,<3" +charset-normalizer = ">=2,<4" idna = ">=2.5,<4" urllib3 = ">=1.21.1,<1.27" @@ -403,14 +488,14 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"] [[package]] name = "setuptools" -version = "65.6.3" +version = "67.3.2" description = "Easily download, build, install, upgrade, and uninstall Python packages" category = "dev" optional = false python-versions = ">=3.7" [package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] +docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (==0.8.3)", "sphinx-reredirects", "sphinxcontrib-towncrier"] testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8 (<5)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pip-run (>=8.8)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"] testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"] @@ -422,6 +507,39 @@ category = "main" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*" +[[package]] +name = "sqlalchemy" +version = "1.4.46" +description = "Database Abstraction Library" +category = "main" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" + +[package.dependencies] +greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"} +importlib-metadata = {version = "*", markers = "python_version < \"3.8\""} + +[package.extras] +aiomysql = ["aiomysql", "greenlet (!=0.4.17)"] +aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"] +asyncio = ["greenlet (!=0.4.17)"] +asyncmy = ["asyncmy (>=0.2.3,!=0.2.4)", "greenlet (!=0.4.17)"] +mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2)"] +mssql = ["pyodbc"] +mssql-pymssql = ["pymssql"] +mssql-pyodbc = ["pyodbc"] +mypy = ["mypy (>=0.910)", "sqlalchemy2-stubs"] +mysql = ["mysqlclient (>=1.4.0)", "mysqlclient (>=1.4.0,<2)"] +mysql-connector = ["mysql-connector-python"] +oracle = ["cx_oracle (>=7)", "cx_oracle (>=7,<8)"] +postgresql = ["psycopg2 (>=2.7)"] +postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"] +postgresql-pg8000 = ["pg8000 (>=1.16.6,!=1.29.0)"] +postgresql-psycopg2binary = ["psycopg2-binary"] +postgresql-psycopg2cffi = ["psycopg2cffi"] +pymysql = ["pymysql", "pymysql (<1)"] +sqlcipher = ["sqlcipher3_binary"] + [[package]] name = "thrift" version = "0.16.0" @@ -456,15 +574,15 @@ python-versions = 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+alembic = "^1.8.1" [tool.poetry.dev-dependencies] pytest = "^7.1.2" @@ -34,6 +37,9 @@ black = "^22.3.0" "Homepage" = "https://github.com/databricks/databricks-sql-python" "Bug Tracker" = "https://github.com/databricks/databricks-sql-python/issues" +[tool.poetry.plugins."sqlalchemy.dialects"] +"databricks" = "databricks.sqlalchemy:DatabricksDialect" + [build-system] requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api" diff --git a/src/databricks/sql/utils.py b/src/databricks/sql/utils.py index ae411c7d..ed558136 100644 --- a/src/databricks/sql/utils.py +++ b/src/databricks/sql/utils.py @@ -1,10 +1,12 @@ from collections import namedtuple, OrderedDict from collections.abc import Iterable -import datetime +import datetime, decimal from enum import Enum from typing import Dict import pyarrow +from databricks.sql import exc + class ArrowQueue: def __init__( @@ -157,6 +159,9 @@ def escape_datetime(self, item, format, cutoff=0): formatted = dt_str[:-cutoff] if cutoff and format.endswith(".%f") else dt_str return "'{}'".format(formatted) + def escape_decimal(self, item): + return str(item) + def escape_item(self, item): if item is None: return "NULL" @@ -170,6 +175,8 @@ def escape_item(self, item): return self.escape_datetime(item, self._DATETIME_FORMAT) elif isinstance(item, datetime.date): return self.escape_datetime(item, self._DATE_FORMAT) + elif isinstance(item, decimal.Decimal): + return self.escape_decimal(item) else: raise exc.ProgrammingError("Unsupported object {}".format(item)) diff --git a/src/databricks/sqlalchemy/__init__.py b/src/databricks/sqlalchemy/__init__.py new file mode 100644 index 00000000..1df1e1d4 --- /dev/null +++ b/src/databricks/sqlalchemy/__init__.py @@ -0,0 +1 @@ +from databricks.sqlalchemy.dialect import DatabricksDialect diff --git a/src/databricks/sqlalchemy/dialect/__init__.py b/src/databricks/sqlalchemy/dialect/__init__.py new file mode 100644 index 00000000..bc30723a --- /dev/null +++ b/src/databricks/sqlalchemy/dialect/__init__.py @@ -0,0 +1,316 @@ +"""This module's layout loosely follows example of SQLAlchemy's postgres dialect +""" + +import decimal, re, datetime +from dateutil.parser import parse + +from sqlalchemy import types, processors, event +from sqlalchemy.engine import default, Engine +from sqlalchemy.exc import DatabaseError +from sqlalchemy.engine import reflection + +from databricks import sql + + +from databricks.sqlalchemy.dialect.base import ( + DatabricksDDLCompiler, + DatabricksIdentifierPreparer, +) +from databricks.sqlalchemy.dialect.compiler import DatabricksTypeCompiler + +try: + import alembic +except ImportError: + pass +else: + from alembic.ddl import DefaultImpl + + class DatabricksImpl(DefaultImpl): + __dialect__ = "databricks" + + +class DatabricksDecimal(types.TypeDecorator): + """Translates strings to decimals""" + + impl = types.DECIMAL + + def process_result_value(self, value, dialect): + if value is not None: + return decimal.Decimal(value) + else: + return None + + +class DatabricksTimestamp(types.TypeDecorator): + """Translates timestamp strings to datetime objects""" + + impl = types.TIMESTAMP + + def process_result_value(self, value, dialect): + return processors.str_to_datetime(value) + + def adapt(self, impltype, **kwargs): + return self.impl + + +class DatabricksDate(types.TypeDecorator): + """Translates date strings to date objects""" + + impl = types.DATE + + def process_result_value(self, value, dialect): + return processors.str_to_date(value) + + def adapt(self, impltype, **kwargs): + return self.impl + + +class DatabricksDialect(default.DefaultDialect): + """This dialect implements only those methods required to pass our e2e tests""" + + # Possible attributes are defined here: https://docs.sqlalchemy.org/en/14/core/internals.html#sqlalchemy.engine.Dialect + name: str = "databricks" + driver: str = "databricks-sql-python" + default_schema_name: str = "default" + + preparer = DatabricksIdentifierPreparer + type_compiler = DatabricksTypeCompiler + ddl_compiler = DatabricksDDLCompiler + supports_statement_cache: bool = True + supports_multivalues_insert: bool = True + supports_native_decimal: bool = True + supports_sane_rowcount: bool = False + + @classmethod + def dbapi(cls): + return sql + + def create_connect_args(self, url): + # TODO: can schema be provided after HOST? + # Expected URI format is: databricks+thrift://token:dapi***@***.cloud.databricks.com?http_path=/sql/*** + + kwargs = { + "server_hostname": url.host, + "access_token": url.password, + "http_path": url.query.get("http_path"), + "catalog": url.query.get("catalog"), + "schema": url.query.get("schema"), + } + + self.schema = kwargs["schema"] + self.catalog = kwargs["catalog"] + + return [], kwargs + + def get_columns(self, connection, table_name, schema=None, **kwargs): + """Return information about columns in `table_name`. + + Given a :class:`_engine.Connection`, a string + `table_name`, and an optional string `schema`, return column + information as a list of dictionaries with these keys: + + name + the column's name + + type + [sqlalchemy.types#TypeEngine] + + nullable + boolean + + default + the column's default value + + autoincrement + boolean + + sequence + a dictionary of the form + {'name' : str, 'start' :int, 'increment': int, 'minvalue': int, + 'maxvalue': int, 'nominvalue': bool, 'nomaxvalue': bool, + 'cycle': bool, 'cache': int, 'order': bool} + + Additional column attributes may be present. + """ + + _type_map = { + "boolean": types.Boolean, + "smallint": types.SmallInteger, + "int": types.Integer, + "bigint": types.BigInteger, + "float": types.Float, + "double": types.Float, + "string": types.String, + "varchar": types.String, + "char": types.String, + "binary": types.String, + "array": types.String, + "map": types.String, + "struct": types.String, + "uniontype": types.String, + "decimal": DatabricksDecimal, + "timestamp": DatabricksTimestamp, + "date": DatabricksDate, + } + + with self.get_driver_connection( + connection + )._dbapi_connection.dbapi_connection.cursor() as cur: + resp = cur.columns( + catalog_name=self.catalog, + schema_name=schema or self.schema, + table_name=table_name, + ).fetchall() + + columns = [] + + for col in resp: + + # Taken from PyHive. This removes added type info from decimals and maps + _col_type = re.search(r"^\w+", col.TYPE_NAME).group(0) + this_column = { + "name": col.COLUMN_NAME, + "type": _type_map[_col_type.lower()], + "nullable": bool(col.NULLABLE), + "default": col.COLUMN_DEF, + "autoincrement": False if col.IS_AUTO_INCREMENT == "NO" else True, + } + columns.append(this_column) + + return columns + + def get_pk_constraint(self, connection, table_name, schema=None, **kw): + """Return information about the primary key constraint on + table_name`. + + Given a :class:`_engine.Connection`, a string + `table_name`, and an optional string `schema`, return primary + key information as a dictionary with these keys: + + constrained_columns + a list of column names that make up the primary key + + name + optional name of the primary key constraint. + + """ + # TODO: implement this behaviour + return {"constrained_columns": []} + + def get_foreign_keys(self, connection, table_name, schema=None, **kw): + """Return information about foreign_keys in `table_name`. + + Given a :class:`_engine.Connection`, a string + `table_name`, and an optional string `schema`, return foreign + key information as a list of dicts with these keys: + + name + the constraint's name + + constrained_columns + a list of column names that make up the foreign key + + referred_schema + the name of the referred schema + + referred_table + the name of the referred table + + referred_columns + a list of column names in the referred table that correspond to + constrained_columns + """ + # TODO: Implement this behaviour + return [] + + def get_indexes(self, connection, table_name, schema=None, **kw): + """Return information about indexes in `table_name`. + + Given a :class:`_engine.Connection`, a string + `table_name` and an optional string `schema`, return index + information as a list of dictionaries with these keys: + + name + the index's name + + column_names + list of column names in order + + unique + boolean + """ + # TODO: Implement this behaviour + return [] + + def get_table_names(self, connection, schema=None, **kwargs): + TABLE_NAME = 1 + with self.get_driver_connection( + connection + )._dbapi_connection.dbapi_connection.cursor() as cur: + sql_str = "SHOW TABLES FROM {}".format( + ".".join([self.catalog, schema or self.schema]) + ) + data = cur.execute(sql_str).fetchall() + _tables = [i[TABLE_NAME] for i in data] + + return _tables + + def get_view_names(self, connection, schema=None, **kwargs): + VIEW_NAME = 1 + with self.get_driver_connection( + connection + )._dbapi_connection.dbapi_connection.cursor() as cur: + sql_str = "SHOW VIEWS FROM {}".format( + ".".join([self.catalog, schema or self.schema]) + ) + data = cur.execute(sql_str).fetchall() + _tables = [i[VIEW_NAME] for i in data] + + return _tables + + def do_rollback(self, dbapi_connection): + # Databricks SQL Does not support transactions + pass + + def has_table(self, connection, table_name, schema=None, **kwargs) -> bool: + """SQLAlchemy docstrings say dialect providers must implement this method""" + + schema = schema or "default" + + # DBR >12.x uses underscores in error messages + DBR_LTE_12_NOT_FOUND_STRING = "Table or view not found" + DBR_GT_12_NOT_FOUND_STRING = "TABLE_OR_VIEW_NOT_FOUND" + + try: + res = connection.execute(f"DESCRIBE TABLE {table_name}") + return True + except DatabaseError as e: + if DBR_GT_12_NOT_FOUND_STRING in str( + e + ) or DBR_LTE_12_NOT_FOUND_STRING in str(e): + return False + else: + raise e + + @reflection.cache + def get_schema_names(self, connection, **kw): + # Equivalent to SHOW DATABASES + + # TODO: replace with call to cursor.schemas() once its performance matches raw SQL + return [row[0] for row in connection.execute("SHOW SCHEMAS")] + + +@event.listens_for(Engine, "do_connect") +def receive_do_connect(dialect, conn_rec, cargs, cparams): + """Helpful for DS on traffic from clients using SQLAlchemy in particular""" + + # Ignore connect invocations that don't use our dialect + if not dialect.name == "databricks": + return + + if "_user_agent_entry" in cparams: + new_user_agent = f"sqlalchemy + {cparams['_user_agent_entry']}" + else: + new_user_agent = "sqlalchemy" + + cparams["_user_agent_entry"] = new_user_agent diff --git a/src/databricks/sqlalchemy/dialect/base.py b/src/databricks/sqlalchemy/dialect/base.py new file mode 100644 index 00000000..080f0410 --- /dev/null +++ b/src/databricks/sqlalchemy/dialect/base.py @@ -0,0 +1,17 @@ +import re +from sqlalchemy.sql import compiler + + +class DatabricksIdentifierPreparer(compiler.IdentifierPreparer): + # SparkSQL identifier specification: + # ref: https://spark.apache.org/docs/latest/sql-ref-identifier.html + + legal_characters = re.compile(r"^[A-Z0-9_]+$", re.I) + + def __init__(self, dialect): + super().__init__(dialect, initial_quote="`") + + +class DatabricksDDLCompiler(compiler.DDLCompiler): + def post_create_table(self, table): + return " USING DELTA" diff --git a/src/databricks/sqlalchemy/dialect/compiler.py b/src/databricks/sqlalchemy/dialect/compiler.py new file mode 100644 index 00000000..f77807ed --- /dev/null +++ b/src/databricks/sqlalchemy/dialect/compiler.py @@ -0,0 +1,38 @@ +from sqlalchemy.sql import compiler + + +class DatabricksTypeCompiler(compiler.GenericTypeCompiler): + """Originally forked from pyhive""" + + def visit_INTEGER(self, type_): + return "INT" + + def visit_NUMERIC(self, type_): + return "DECIMAL" + + def visit_CHAR(self, type_): + return "STRING" + + def visit_VARCHAR(self, type_): + return "STRING" + + def visit_NCHAR(self, type_): + return "STRING" + + def visit_TEXT(self, type_): + return "STRING" + + def visit_CLOB(self, type_): + return "STRING" + + def visit_BLOB(self, type_): + return "BINARY" + + def visit_TIME(self, type_): + return "TIMESTAMP" + + def visit_DATE(self, type_): + return "DATE" + + def visit_DATETIME(self, type_): + return "TIMESTAMP" diff --git a/tests/e2e/sqlalchemy/test_basic.py b/tests/e2e/sqlalchemy/test_basic.py new file mode 100644 index 00000000..4f4df91b --- /dev/null +++ b/tests/e2e/sqlalchemy/test_basic.py @@ -0,0 +1,254 @@ +import os, datetime, decimal +import pytest +from unittest import skipIf +from sqlalchemy import create_engine, select, insert, Column, MetaData, Table +from sqlalchemy.orm import declarative_base, Session +from sqlalchemy.types import SMALLINT, Integer, BOOLEAN, String, DECIMAL, Date + + +USER_AGENT_TOKEN = "PySQL e2e Tests" + + +@pytest.fixture +def db_engine(): + + HOST = os.environ.get("host") + HTTP_PATH = os.environ.get("http_path") + ACCESS_TOKEN = os.environ.get("access_token") + CATALOG = os.environ.get("catalog") + SCHEMA = os.environ.get("schema") + + connect_args = {"_user_agent_entry": USER_AGENT_TOKEN} + + engine = create_engine( + f"databricks://token:{ACCESS_TOKEN}@{HOST}?http_path={HTTP_PATH}&catalog={CATALOG}&schema={SCHEMA}", + connect_args=connect_args, + ) + return engine + + +@pytest.fixture() +def base(db_engine): + return declarative_base(bind=db_engine) + + +@pytest.fixture() +def session(db_engine): + return Session(bind=db_engine) + + +@pytest.fixture() +def metadata_obj(db_engine): + return MetaData(bind=db_engine) + + +def test_can_connect(db_engine): + simple_query = "SELECT 1" + result = db_engine.execute(simple_query).fetchall() + assert len(result) == 1 + + +def test_connect_args(db_engine): + """Verify that extra connect args passed to sqlalchemy.create_engine are passed to DBAPI + + This will most commonly happen when partners supply a user agent entry + """ + + conn = db_engine.connect() + connection_headers = conn.connection.thrift_backend._transport._headers + user_agent = connection_headers["User-Agent"] + + expected = f"(sqlalchemy + {USER_AGENT_TOKEN})" + assert expected in user_agent + + +def test_pandas_upload(db_engine, metadata_obj): + + import pandas as pd + + SCHEMA = os.environ.get("schema") + try: + df = pd.read_excel("tests/sqlalchemy/demo_data/MOCK_DATA.xlsx") + df.to_sql( + "mock_data", + db_engine, + schema=SCHEMA, + index=False, + method="multi", + if_exists="replace", + ) + + df_after = pd.read_sql_table("mock_data", db_engine, schema=SCHEMA) + assert len(df) == len(df_after) + except Exception as e: + raise e + finally: + db_engine.execute("DROP TABLE mock_data") + + +def test_create_table_not_null(db_engine, metadata_obj): + + table_name = "PySQLTest_{}".format(datetime.datetime.utcnow().strftime("%s")) + + SampleTable = Table( + table_name, + metadata_obj, + Column("name", String(255)), + Column("episodes", Integer), + Column("some_bool", BOOLEAN, nullable=False), + ) + + metadata_obj.create_all() + + columns = db_engine.dialect.get_columns( + connection=db_engine.connect(), table_name=table_name + ) + + name_column_description = columns[0] + some_bool_column_description = columns[2] + + assert name_column_description.get("nullable") is True + assert some_bool_column_description.get("nullable") is False + + metadata_obj.drop_all() + + +def test_bulk_insert_with_core(db_engine, metadata_obj, session): + + import random + + num_to_insert = random.choice(range(10_000, 20_000)) + + table_name = "PySQLTest_{}".format(datetime.datetime.utcnow().strftime("%s")) + + names = ["Bim", "Miki", "Sarah", "Ira"] + + SampleTable = Table( + table_name, metadata_obj, Column("name", String(255)), Column("number", Integer) + ) + + rows = [ + {"name": names[i % 3], "number": random.choice(range(10000))} + for i in range(num_to_insert) + ] + + metadata_obj.create_all() + db_engine.execute(insert(SampleTable).values(rows)) + + rows = db_engine.execute(select(SampleTable)).fetchall() + + assert len(rows) == num_to_insert + + +def test_create_insert_drop_table_core(base, db_engine, metadata_obj: MetaData): + """ """ + + SampleTable = Table( + "PySQLTest_{}".format(datetime.datetime.utcnow().strftime("%s")), + metadata_obj, + Column("name", String(255)), + Column("episodes", Integer), + Column("some_bool", BOOLEAN), + Column("dollars", DECIMAL(10, 2)), + ) + + metadata_obj.create_all() + + insert_stmt = insert(SampleTable).values( + name="Bim Adewunmi", episodes=6, some_bool=True, dollars=decimal.Decimal(125) + ) + + with db_engine.connect() as conn: + conn.execute(insert_stmt) + + select_stmt = select(SampleTable) + resp = db_engine.execute(select_stmt) + + result = resp.fetchall() + + assert len(result) == 1 + + metadata_obj.drop_all() + + +# ORM tests are made following this tutorial +# https://docs.sqlalchemy.org/en/14/orm/quickstart.html + + +@skipIf(False, "Unity catalog must be supported") +def test_create_insert_drop_table_orm(base, session: Session): + """ORM classes built on the declarative base class must have a primary key. + This is restricted to Unity Catalog. + """ + + class SampleObject(base): + + __tablename__ = "PySQLTest_{}".format(datetime.datetime.utcnow().strftime("%s")) + + name = Column(String(255), primary_key=True) + episodes = Column(Integer) + some_bool = Column(BOOLEAN) + + base.metadata.create_all() + + sample_object_1 = SampleObject(name="Bim Adewunmi", episodes=6, some_bool=True) + sample_object_2 = SampleObject(name="Miki Meek", episodes=12, some_bool=False) + session.add(sample_object_1) + session.add(sample_object_2) + session.commit() + + stmt = select(SampleObject).where( + SampleObject.name.in_(["Bim Adewunmi", "Miki Meek"]) + ) + + output = [i for i in session.scalars(stmt)] + assert len(output) == 2 + + base.metadata.drop_all() + + +def test_dialect_type_mappings(base, db_engine, metadata_obj: MetaData): + """Confirms that we get back the same time we declared in a model and inserted using Core""" + + SampleTable = Table( + "PySQLTest_{}".format(datetime.datetime.utcnow().strftime("%s")), + metadata_obj, + Column("string_example", String(255)), + Column("integer_example", Integer), + Column("boolean_example", BOOLEAN), + Column("decimal_example", DECIMAL(10, 2)), + Column("date_example", Date), + ) + + string_example = "" + integer_example = 100 + boolean_example = True + decimal_example = decimal.Decimal(125) + date_example = datetime.date(2013, 1, 1) + + metadata_obj.create_all() + + insert_stmt = insert(SampleTable).values( + string_example=string_example, + integer_example=integer_example, + boolean_example=boolean_example, + decimal_example=decimal_example, + date_example=date_example, + ) + + with db_engine.connect() as conn: + conn.execute(insert_stmt) + + select_stmt = select(SampleTable) + resp = db_engine.execute(select_stmt) + + result = resp.fetchall() + this_row = result[0] + + assert this_row["string_example"] == string_example + assert this_row["integer_example"] == integer_example + assert this_row["boolean_example"] == boolean_example + assert this_row["decimal_example"] == decimal_example + assert this_row["date_example"] == date_example + + metadata_obj.drop_all() diff --git a/tests/sqlalchemy/demo_data/MOCK_DATA.xlsx b/tests/sqlalchemy/demo_data/MOCK_DATA.xlsx new file mode 100644 index 00000000..e080689a Binary files /dev/null and b/tests/sqlalchemy/demo_data/MOCK_DATA.xlsx differ diff --git a/tests/unit/test_param_escaper.py b/tests/unit/test_param_escaper.py index cb5758aa..6c1f1770 100644 --- a/tests/unit/test_param_escaper.py +++ b/tests/unit/test_param_escaper.py @@ -1,5 +1,5 @@ from datetime import date, datetime -import unittest, pytest +import unittest, pytest, decimal from databricks.sql.utils import ParamEscaper, inject_parameters @@ -18,6 +18,11 @@ def test_escape_number_float(self): """ assert pe.escape_number(100.1234) == 100.1234 + def test_escape_number_decimal(self): + """This behaviour uses the string representation of a decimal + """ + assert pe.escape_decimal(decimal.Decimal("124.32")) == "124.32" + def test_escape_string_normal(self): """ """