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75 lines
2.8 KiB
Python
75 lines
2.8 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 superset.db_engine_specs.base import BaseEngineSpec, DatabaseCategory
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class TeradataEngineSpec(BaseEngineSpec):
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"""Dialect for Teradata DB."""
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engine = "teradatasql"
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engine_name = "Teradata"
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metadata = {
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"description": "Teradata is an enterprise data warehouse platform.",
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"logo": "teradata.png",
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"homepage_url": "https://www.teradata.com/",
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"categories": [
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DatabaseCategory.TRADITIONAL_RDBMS,
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DatabaseCategory.PROPRIETARY,
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],
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"pypi_packages": ["teradatasqlalchemy"],
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"connection_string": "teradatasql://{user}:{password}@{host}",
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"default_port": 1025,
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"drivers": [
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{
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"name": "teradatasqlalchemy (Recommended)",
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"pypi_package": "teradatasqlalchemy",
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"connection_string": "teradatasql://{user}:{password}@{host}",
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"is_recommended": True,
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"notes": "No ODBC drivers required.",
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},
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{
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"name": "sqlalchemy-teradata (ODBC)",
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"pypi_package": "sqlalchemy-teradata",
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"is_recommended": False,
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"notes": "Requires ODBC driver installation.",
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"docs_url": "https://downloads.teradata.com/download/connectivity/odbc-driver/linux",
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},
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],
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}
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max_column_name_length = 30 # since 14.10 this is 128
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_time_grain_expressions = {
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None: "{col}",
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"PT1M": "TRUNC(CAST({col} as DATE), 'MI')",
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"PT1H": "TRUNC(CAST({col} as DATE), 'HH')",
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"P1D": "TRUNC(CAST({col} as DATE), 'DDD')",
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"P1W": "TRUNC(CAST({col} as DATE), 'WW')",
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"P1M": "TRUNC(CAST({col} as DATE), 'MONTH')",
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"P3M": "TRUNC(CAST({col} as DATE), 'Q')",
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"P1Y": "TRUNC(CAST({col} as DATE), 'YEAR')",
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}
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@classmethod
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def epoch_to_dttm(cls) -> str:
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return (
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"CAST(((CAST(DATE '1970-01-01' + ({col} / 86400) AS TIMESTAMP(0) "
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"AT 0)) AT 0) + (({col} MOD 86400) * INTERVAL '00:00:01' "
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"HOUR TO SECOND) AS TIMESTAMP(0))"
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)
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