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87 lines
3.3 KiB
Python
87 lines
3.3 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 __future__ import annotations
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from datetime import datetime
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from typing import Any, Optional
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from sqlalchemy import types
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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 PhoenixEngineSpec(BaseEngineSpec): # pylint: disable=abstract-method
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"""Dialect for Apache Phoenix"""
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engine = "phoenix"
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engine_name = "Apache Phoenix"
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metadata = {
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"description": (
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"Apache Phoenix is a relational database layer over Apache HBase, "
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"providing low-latency SQL queries over HBase data."
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),
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"logo": "apache-phoenix.png",
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"homepage_url": "https://phoenix.apache.org/",
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"categories": [
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DatabaseCategory.APACHE_PROJECTS,
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DatabaseCategory.ANALYTICAL_DATABASES,
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DatabaseCategory.OPEN_SOURCE,
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],
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"pypi_packages": ["phoenixdb"],
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"connection_string": "phoenix://{hostname}:{port}/",
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"default_port": 8765,
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"notes": (
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"Phoenix provides a SQL interface to Apache HBase. "
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"The phoenixdb driver connects via the Phoenix Query Server "
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"and supports a subset of SQLAlchemy."
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),
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}
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_time_grain_expressions = {
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None: "{col}",
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TimeGrain.SECOND: (
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"CAST(TRUNC(CAST({col} AS TIMESTAMP), 'SECOND') AS TIMESTAMP)"
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),
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TimeGrain.MINUTE: (
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"CAST(TRUNC(CAST({col} AS TIMESTAMP), 'MINUTE') AS TIMESTAMP)"
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),
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TimeGrain.HOUR: ("CAST(TRUNC(CAST({col} AS TIMESTAMP), 'HOUR') AS TIMESTAMP)"),
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TimeGrain.DAY: "CAST(TRUNC(CAST({col} AS TIMESTAMP), 'DAY') AS DATE)",
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TimeGrain.WEEK: "CAST(TRUNC(CAST({col} AS TIMESTAMP), 'WEEK') AS DATE)",
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TimeGrain.MONTH: ("CAST(TRUNC(CAST({col} AS TIMESTAMP), 'MONTH') AS DATE)"),
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TimeGrain.QUARTER: ("CAST(TRUNC(CAST({col} AS TIMESTAMP), 'QUARTER') AS DATE)"),
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TimeGrain.YEAR: "CAST(TRUNC(CAST({col} AS TIMESTAMP), 'YEAR') AS DATE)",
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}
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@classmethod
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def convert_dttm(
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cls,
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target_type: str,
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dttm: datetime,
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db_extra: Optional[dict[str, Any]] = None,
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) -> Optional[str]:
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sqla_type = cls.get_sqla_column_type(target_type)
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if isinstance(sqla_type, types.Date):
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return f"TO_DATE('{dttm.date().isoformat()}', 'yyyy-MM-dd')"
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if isinstance(sqla_type, (types.DateTime, types.TIMESTAMP)):
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datetime_formatted = dttm.isoformat(sep=" ", timespec="seconds")
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return f"TO_TIMESTAMP('{datetime_formatted}', 'yyyy-MM-dd HH:mm:ss')"
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return None
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