feat: Add Apache Doris support (#24714)

Co-authored-by: Evan Rusackas <evan@preset.io>
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Jiwen liu 2023-11-22 03:42:10 +08:00 committed by GitHub
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@ -130,6 +130,7 @@ Here are some of the major database solutions that are supported:
<img src="superset-frontend/src/assets/images/yugabyte.png" alt="yugabyte" border="0" width="200" height="80"/>
<img src="superset-frontend/src/assets/images/databend.png" alt="databend" border="0" width="200" height="80"/>
<img src="superset-frontend/src/assets/images/starrocks.png" alt="starrocks" border="0" width="200" height="80"/>
<img src="superset-frontend/src/assets/images/doris.png" alt="doris" border="0" width="200" height="80"/>
</p>
**A more comprehensive list of supported databases** along with the configuration instructions can be found [here](https://superset.apache.org/docs/databases/installing-database-drivers).

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@ -0,0 +1,26 @@
---
title: Apache Doris
hide_title: true
sidebar_position: 5
version: 1
---
## Doris
The [sqlalchemy-doris](https://pypi.org/project/pydoris/) library is the recommended way to connect to Apache Doris through SQLAlchemy.
You'll need the following setting values to form the connection string:
- **User**: User Name
- **Password**: Password
- **Host**: Doris FE Host
- **Port**: Doris FE port
- **Catalog**: Catalog Name
- **Database**: Database Name
Here's what the connection string looks like:
```
doris://<User>:<Password>@<Host>:<Port>/<Catalog>.<Database>
```

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@ -25,6 +25,7 @@ Some of the recommended packages are shown below. Please refer to [setup.py](htt
| Database | PyPI package | Connection String |
| --------------------------------------------------------- | ---------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------ |
| [Amazon Athena](/docs/databases/athena) | `pip install pyathena[pandas]` , `pip install PyAthenaJDBC` | `awsathena+rest://{aws_access_key_id}:{aws_secret_access_key}@athena.{region_name}.amazonaws.com/{schema_name}?s3_staging_dir={s3_staging_dir}&... ` |
| [Apache Doris](/docs/databases/doris) | `pip install pydoris` | `doris://<User>:<Password>@<Host>:<Port>/<Catalog>.<Database>` |
| [Amazon DynamoDB](/docs/databases/dynamodb) | `pip install pydynamodb` | `dynamodb://{access_key_id}:{secret_access_key}@dynamodb.{region_name}.amazonaws.com?connector=superset` |
| [Amazon Redshift](/docs/databases/redshift) | `pip install sqlalchemy-redshift` | ` redshift+psycopg2://<userName>:<DBPassword>@<AWS End Point>:5439/<Database Name>` |
| [Apache Drill](/docs/databases/drill) | `pip install sqlalchemy-drill` | `drill+sadrill:// For JDBC drill+jdbc://` |

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@ -117,4 +117,9 @@ export const Databases = [
href: 'https://www.microsoft.com/en-us/sql-server',
imgName: 'msql.png',
},
{
title: 'Apache Doris',
href: 'https://doris.apache.org/',
imgName: 'doris.png',
},
];

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@ -205,6 +205,7 @@ setup(
"vertica": ["sqlalchemy-vertica-python>=0.5.9, < 0.6"],
"netezza": ["nzalchemy>=11.0.2"],
"starrocks": ["starrocks>=1.0.0"],
"doris": ["pydoris>=1.0.0, <2.0.0"],
},
python_requires="~=3.9",
author="Apache Software Foundation",

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@ -0,0 +1,278 @@
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import logging
import re
from re import Pattern
from typing import Any, Optional
from urllib import parse
from flask_babel import gettext as __
from sqlalchemy import Float, Integer, Numeric, String, TEXT, types
from sqlalchemy.engine.url import URL
from sqlalchemy.sql.type_api import TypeEngine
from superset.db_engine_specs.mysql import MySQLEngineSpec
from superset.errors import SupersetErrorType
from superset.utils.core import GenericDataType
# Regular expressions to catch custom errors
CONNECTION_ACCESS_DENIED_REGEX = re.compile(
"Access denied for user '(?P<username>.*?)'"
)
CONNECTION_INVALID_HOSTNAME_REGEX = re.compile(
"Unknown Doris server host '(?P<hostname>.*?)'"
)
CONNECTION_UNKNOWN_DATABASE_REGEX = re.compile("Unknown database '(?P<database>.*?)'")
CONNECTION_HOST_DOWN_REGEX = re.compile(
"Can't connect to Doris server on '(?P<hostname>.*?)'"
)
SYNTAX_ERROR_REGEX = re.compile(
"check the manual that corresponds to your MySQL server "
"version for the right syntax to use near '(?P<server_error>.*)"
)
logger = logging.getLogger(__name__)
class TINYINT(Integer):
__visit_name__ = "TINYINT"
class LARGEINT(Integer):
__visit_name__ = "LARGEINT"
class DOUBLE(Float):
__visit_name__ = "DOUBLE"
class HLL(Numeric):
__visit_name__ = "HLL"
class BITMAP(Numeric):
__visit_name__ = "BITMAP"
class QuantileState(Numeric):
__visit_name__ = "QUANTILE_STATE"
class AggState(Numeric):
__visit_name__ = "AGG_STATE"
class ARRAY(TypeEngine):
__visit_name__ = "ARRAY"
@property
def python_type(self) -> Optional[type[list[Any]]]:
return list
class MAP(TypeEngine):
__visit_name__ = "MAP"
@property
def python_type(self) -> Optional[type[dict[Any, Any]]]:
return dict
class STRUCT(TypeEngine):
__visit_name__ = "STRUCT"
@property
def python_type(self) -> Optional[type[Any]]:
return None
class DorisEngineSpec(MySQLEngineSpec):
engine = "pydoris"
engine_aliases = {"doris"}
engine_name = "Apache Doris"
max_column_name_length = 64
default_driver = "pydoris"
sqlalchemy_uri_placeholder = (
"doris://user:password@host:port/catalog.db[?key=value&key=value...]"
)
encryption_parameters = {"ssl": "0"}
supports_dynamic_schema = True
column_type_mappings = ( # type: ignore
(
re.compile(r"^tinyint", re.IGNORECASE),
TINYINT(),
GenericDataType.NUMERIC,
),
(
re.compile(r"^largeint", re.IGNORECASE),
LARGEINT(),
GenericDataType.NUMERIC,
),
(
re.compile(r"^decimal.*", re.IGNORECASE),
types.DECIMAL(),
GenericDataType.NUMERIC,
),
(
re.compile(r"^double", re.IGNORECASE),
DOUBLE(),
GenericDataType.NUMERIC,
),
(
re.compile(r"^varchar(\((\d+)\))*$", re.IGNORECASE),
types.VARCHAR(),
GenericDataType.STRING,
),
(
re.compile(r"^char(\((\d+)\))*$", re.IGNORECASE),
types.CHAR(),
GenericDataType.STRING,
),
(
re.compile(r"^json.*", re.IGNORECASE),
types.JSON(),
GenericDataType.STRING,
),
(
re.compile(r"^binary.*", re.IGNORECASE),
types.BINARY(),
GenericDataType.STRING,
),
(
re.compile(r"^quantile_state", re.IGNORECASE),
QuantileState(),
GenericDataType.STRING,
),
(
re.compile(r"^agg_state.*", re.IGNORECASE),
AggState(),
GenericDataType.STRING,
),
(re.compile(r"^hll", re.IGNORECASE), HLL(), GenericDataType.STRING),
(
re.compile(r"^bitmap", re.IGNORECASE),
BITMAP(),
GenericDataType.STRING,
),
(
re.compile(r"^array.*", re.IGNORECASE),
ARRAY(),
GenericDataType.STRING,
),
(
re.compile(r"^map.*", re.IGNORECASE),
MAP(),
GenericDataType.STRING,
),
(
re.compile(r"^struct.*", re.IGNORECASE),
STRUCT(),
GenericDataType.STRING,
),
(
re.compile(r"^datetime.*", re.IGNORECASE),
types.DATETIME(),
GenericDataType.STRING,
),
(
re.compile(r"^date.*", re.IGNORECASE),
types.DATE(),
GenericDataType.STRING,
),
(
re.compile(r"^text.*", re.IGNORECASE),
TEXT(),
GenericDataType.STRING,
),
(
re.compile(r"^string.*", re.IGNORECASE),
String(),
GenericDataType.STRING,
),
)
custom_errors: dict[Pattern[str], tuple[str, SupersetErrorType, dict[str, Any]]] = {
CONNECTION_ACCESS_DENIED_REGEX: (
__('Either the username "%(username)s" or the password is incorrect.'),
SupersetErrorType.CONNECTION_ACCESS_DENIED_ERROR,
{"invalid": ["username", "password"]},
),
CONNECTION_INVALID_HOSTNAME_REGEX: (
__('Unknown Doris server host "%(hostname)s".'),
SupersetErrorType.CONNECTION_INVALID_HOSTNAME_ERROR,
{"invalid": ["host"]},
),
CONNECTION_HOST_DOWN_REGEX: (
__('The host "%(hostname)s" might be down and can\'t be reached.'),
SupersetErrorType.CONNECTION_HOST_DOWN_ERROR,
{"invalid": ["host", "port"]},
),
CONNECTION_UNKNOWN_DATABASE_REGEX: (
__('Unable to connect to database "%(database)s".'),
SupersetErrorType.CONNECTION_UNKNOWN_DATABASE_ERROR,
{"invalid": ["database"]},
),
SYNTAX_ERROR_REGEX: (
__(
'Please check your query for syntax errors near "%(server_error)s". '
"Then, try running your query again."
),
SupersetErrorType.SYNTAX_ERROR,
{},
),
}
@classmethod
def adjust_engine_params(
cls,
uri: URL,
connect_args: dict[str, Any],
catalog: Optional[str] = None,
schema: Optional[str] = None,
) -> tuple[URL, dict[str, Any]]:
database = uri.database
if schema and database:
schema = parse.quote(schema, safe="")
if "." in database:
database = database.split(".")[0] + "." + schema
else:
database = "internal." + schema
uri = uri.set(database=database)
return uri, connect_args
@classmethod
def get_schema_from_engine_params(
cls,
sqlalchemy_uri: URL,
connect_args: dict[str, Any],
) -> Optional[str]:
"""
Return the configured schema.
For doris the SQLAlchemy URI looks like this:
doris://localhost:9030/catalog.database
"""
database = sqlalchemy_uri.database.strip("/")
if "." not in database:
return None
return parse.unquote(database.split(".")[1])

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@ -0,0 +1,147 @@
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from typing import Any, Optional
import pytest
from sqlalchemy import JSON, types
from sqlalchemy.engine.url import make_url
from superset.db_engine_specs.doris import (
AggState,
ARRAY,
BITMAP,
DOUBLE,
HLL,
LARGEINT,
MAP,
QuantileState,
STRUCT,
TINYINT,
)
from superset.utils.core import GenericDataType
from tests.unit_tests.db_engine_specs.utils import assert_column_spec
@pytest.mark.parametrize(
"native_type,sqla_type,attrs,generic_type,is_dttm",
[
# Numeric
("tinyint", TINYINT, None, GenericDataType.NUMERIC, False),
("largeint", LARGEINT, None, GenericDataType.NUMERIC, False),
("decimal(38,18)", types.DECIMAL, None, GenericDataType.NUMERIC, False),
("decimalv3(38,18)", types.DECIMAL, None, GenericDataType.NUMERIC, False),
("double", DOUBLE, None, GenericDataType.NUMERIC, False),
# String
("char(10)", types.CHAR, None, GenericDataType.STRING, False),
("varchar(65533)", types.VARCHAR, None, GenericDataType.STRING, False),
("binary", types.BINARY, None, GenericDataType.STRING, False),
("text", types.TEXT, None, GenericDataType.STRING, False),
("string", types.String, None, GenericDataType.STRING, False),
# Date
("datetimev2", types.DateTime, None, GenericDataType.STRING, False),
("datev2", types.Date, None, GenericDataType.STRING, False),
# Complex type
("array<varchar(65533)>", ARRAY, None, GenericDataType.STRING, False),
("map<string,int>", MAP, None, GenericDataType.STRING, False),
("struct<int,string>", STRUCT, None, GenericDataType.STRING, False),
("json", JSON, None, GenericDataType.STRING, False),
("jsonb", JSON, None, GenericDataType.STRING, False),
("bitmap", BITMAP, None, GenericDataType.STRING, False),
("hll", HLL, None, GenericDataType.STRING, False),
("quantile_state", QuantileState, None, GenericDataType.STRING, False),
("agg_state", AggState, None, GenericDataType.STRING, False),
],
)
def test_get_column_spec(
native_type: str,
sqla_type: type[types.TypeEngine],
attrs: Optional[dict[str, Any]],
generic_type: GenericDataType,
is_dttm: bool,
) -> None:
from superset.db_engine_specs.doris import DorisEngineSpec as spec
assert_column_spec(spec, native_type, sqla_type, attrs, generic_type, is_dttm)
@pytest.mark.parametrize(
"sqlalchemy_uri,connect_args,return_schema,return_connect_args",
[
(
"doris://user:password@host/db1",
{"param1": "some_value"},
"db1",
{"param1": "some_value"},
),
(
"pydoris://user:password@host/db1",
{"param1": "some_value"},
"db1",
{"param1": "some_value"},
),
(
"doris://user:password@host/catalog1.db1",
{"param1": "some_value"},
"catalog1.db1",
{"param1": "some_value"},
),
(
"pydoris://user:password@host/catalog1.db1",
{"param1": "some_value"},
"catalog1.db1",
{"param1": "some_value"},
),
],
)
def test_adjust_engine_params(
sqlalchemy_uri: str,
connect_args: dict[str, Any],
return_schema: str,
return_connect_args: dict[str, Any],
) -> None:
from superset.db_engine_specs.doris import DorisEngineSpec
url = make_url(sqlalchemy_uri)
returned_url, returned_connect_args = DorisEngineSpec.adjust_engine_params(
url, connect_args
)
assert returned_url.database == return_schema
assert returned_connect_args == return_connect_args
def test_get_schema_from_engine_params() -> None:
"""
Test the ``get_schema_from_engine_params`` method.
"""
from superset.db_engine_specs.doris import DorisEngineSpec
assert (
DorisEngineSpec.get_schema_from_engine_params(
make_url("doris://localhost:9030/hive.test"),
{},
)
== "test"
)
assert (
DorisEngineSpec.get_schema_from_engine_params(
make_url("doris://localhost:9030/hive"),
{},
)
is None
)