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61 lines
2.3 KiB
Python
61 lines
2.3 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 sqlalchemy.dialects import registry
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from superset.constants import TimeGrain
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from superset.db_engine_specs.base import DatabaseCategory
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from superset.db_engine_specs.impala import ImpalaEngineSpec
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class AscendEngineSpec(ImpalaEngineSpec):
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"""Engine spec for Ascend.io (Hive2+TLS) using Cloudera's Impala"""
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engine = "ascend"
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registry.register("ascend", "impala.sqlalchemy", "ImpalaDialect")
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engine_name = "Ascend"
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metadata = {
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"description": (
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"Ascend.io is a data automation platform for building data pipelines."
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),
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"logo": "ascend.webp",
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"homepage_url": "https://www.ascend.io/",
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"categories": [
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DatabaseCategory.CLOUD_DATA_WAREHOUSES,
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DatabaseCategory.ANALYTICAL_DATABASES,
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DatabaseCategory.HOSTED_OPEN_SOURCE,
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],
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"pypi_packages": ["impyla"],
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"connection_string": (
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"ascend://{username}:{password}@{hostname}:{port}/{database}"
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"?auth_mechanism=PLAIN;use_ssl=true"
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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: "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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