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59 lines
2.3 KiB
Python
59 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 __future__ import annotations
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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.hive import HiveEngineSpec
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time_grain_expressions: dict[str | None, str] = {
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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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TimeGrain.WEEK_ENDING_SATURDAY: (
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"date_trunc('week', {col} + interval '1 day') + interval '5 days'"
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),
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TimeGrain.WEEK_STARTING_SUNDAY: (
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"date_trunc('week', {col} + interval '1 day') - interval '1 day'"
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),
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}
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class SparkEngineSpec(HiveEngineSpec):
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_time_grain_expressions = time_grain_expressions
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engine_name = "Apache Spark SQL"
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metadata = {
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"description": "Apache Spark SQL is a module for structured data processing.",
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"logo": "apache-spark.png",
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"homepage_url": "https://spark.apache.org/sql/",
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"categories": [
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DatabaseCategory.APACHE_PROJECTS,
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DatabaseCategory.QUERY_ENGINES,
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DatabaseCategory.OPEN_SOURCE,
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],
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"pypi_packages": ["pyhive"],
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"connection_string": "hive://hive@{hostname}:{port}/{database}",
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"default_port": 10000,
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}
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