mirror of
https://github.com/apache/superset.git
synced 2026-04-11 04:15:33 +00:00
* Enable running of tests in tests/db_engine_specs * Resolve application context errors * Refactor and add tests for pyodbc.Row conversion * Appease isort, regardless of isort:skip
46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
# 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 List, Tuple
|
|
|
|
from superset.db_engine_specs.base import BaseEngineSpec
|
|
|
|
|
|
class ExasolEngineSpec(BaseEngineSpec): # pylint: disable=abstract-method
|
|
"""Engine spec for Exasol"""
|
|
|
|
engine = "exa"
|
|
max_column_name_length = 128
|
|
|
|
# Exasol's DATE_TRUNC function is PostgresSQL compatible
|
|
_time_grain_functions = {
|
|
None: "{col}",
|
|
"PT1S": "DATE_TRUNC('second', {col})",
|
|
"PT1M": "DATE_TRUNC('minute', {col})",
|
|
"PT1H": "DATE_TRUNC('hour', {col})",
|
|
"P1D": "DATE_TRUNC('day', {col})",
|
|
"P1W": "DATE_TRUNC('week', {col})",
|
|
"P1M": "DATE_TRUNC('month', {col})",
|
|
"P0.25Y": "DATE_TRUNC('quarter', {col})",
|
|
"P1Y": "DATE_TRUNC('year', {col})",
|
|
}
|
|
|
|
@classmethod
|
|
def fetch_data(cls, cursor, limit: int) -> List[Tuple]:
|
|
data = super().fetch_data(cursor, limit)
|
|
# Lists of `pyodbc.Row` need to be unpacked further
|
|
return cls.pyodbc_rows_to_tuples(data)
|