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