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95 lines
3.6 KiB
Python
95 lines
3.6 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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from superset.constants import TimeGrain
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from superset.db_engine_specs.base import BaseEngineSpec, DatabaseCategory
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class ExasolEngineSpec(BaseEngineSpec): # pylint: disable=abstract-method
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"""Engine spec for Exasol"""
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engine = "exa"
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engine_name = "Exasol"
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max_column_name_length = 128
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metadata = {
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"description": (
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"Exasol is a high-performance, in-memory, MPP analytical database."
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),
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"logo": "exasol.png",
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"homepage_url": "https://www.exasol.com/",
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"categories": [
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DatabaseCategory.ANALYTICAL_DATABASES,
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DatabaseCategory.PROPRIETARY,
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],
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"pypi_packages": ["sqlalchemy-exasol"],
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"connection_string": "exa+pyodbc://{username}:{password}@{dsn}",
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"default_port": 8563,
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"parameters": {
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"username": "Database username",
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"password": "Database password",
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"dsn": "DSN name configured in odbc.ini",
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},
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"drivers": [
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{
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"name": "pyodbc",
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"pypi_package": "sqlalchemy-exasol",
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"connection_string": "exa+pyodbc://{username}:{password}@{dsn}",
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"is_recommended": True,
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"notes": "Requires ODBC driver and DSN configuration.",
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},
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{
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"name": "turbodbc",
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"pypi_package": "sqlalchemy-exasol[turbodbc]",
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"connection_string": "exa+turbodbc://{username}:{password}@{dsn}",
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"is_recommended": False,
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"notes": "Faster but requires additional dependencies.",
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},
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{
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"name": "websocket",
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"pypi_package": "sqlalchemy-exasol[websocket]",
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"connection_string": (
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"exa+websocket://{username}:{password}@{host}:{port}/{schema}"
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),
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"is_recommended": False,
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"notes": "Pure Python, no ODBC required.",
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},
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],
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}
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# Exasol's DATE_TRUNC function is PostgresSQL compatible
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_time_grain_expressions = {
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None: "{col}",
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TimeGrain.SECOND: "DATE_TRUNC('second', {col})",
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TimeGrain.MINUTE: "DATE_TRUNC('minute', {col})",
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TimeGrain.HOUR: "DATE_TRUNC('hour', {col})",
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TimeGrain.DAY: "DATE_TRUNC('day', {col})",
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TimeGrain.WEEK: "DATE_TRUNC('week', {col})",
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TimeGrain.MONTH: "DATE_TRUNC('month', {col})",
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TimeGrain.QUARTER: "DATE_TRUNC('quarter', {col})",
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TimeGrain.YEAR: "DATE_TRUNC('year', {col})",
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}
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@classmethod
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def fetch_data(
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cls, cursor: Any, limit: Optional[int] = None
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) -> list[tuple[Any, ...]]:
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data = super().fetch_data(cursor, limit)
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# Lists of `pyodbc.Row` need to be unpacked further
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return cls.pyodbc_rows_to_tuples(data)
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