# 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 superset.constants import TimeGrain from superset.db_engine_specs.base import BaseEngineSpec, DatabaseCategory class MonetDbEngineSpec(BaseEngineSpec): """Engine spec for MonetDB MonetDB is an open-source column-oriented relational database management system designed for high performance on complex queries against large databases. """ engine = "monetdb" engine_name = "MonetDB" default_driver = "pymonetdb" metadata = { "description": ( "MonetDB is an open-source column-oriented relational database " "for high-performance analytics." ), "logo": "monet-db.png", "homepage_url": "https://www.monetdb.org/", "categories": [ DatabaseCategory.TRADITIONAL_RDBMS, DatabaseCategory.OPEN_SOURCE, ], "pypi_packages": ["sqlalchemy-monetdb", "pymonetdb"], "connection_string": "monetdb://{username}:{password}@{host}:{port}/{database}", "default_port": 50000, "parameters": { "username": "Database username (default: monetdb)", "password": "Database password (default: monetdb)", "host": "MonetDB server host", "port": "Default 50000", "database": "Database name", }, "docs_url": "https://www.monetdb.org/documentation/", } _time_grain_expressions = { None: "{col}", TimeGrain.SECOND: "CAST(FLOOR(EXTRACT(EPOCH FROM {col})) AS TIMESTAMP)", TimeGrain.MINUTE: ( "CAST({col} AS TIMESTAMP) - " "CAST(EXTRACT(SECOND FROM {col}) AS INTERVAL SECOND)" ), TimeGrain.HOUR: ( "CAST({col} AS TIMESTAMP) - " "CAST(EXTRACT(MINUTE FROM {col}) AS INTERVAL MINUTE) - " "CAST(EXTRACT(SECOND FROM {col}) AS INTERVAL SECOND)" ), TimeGrain.DAY: "CAST({col} AS DATE)", TimeGrain.MONTH: ( "CAST(EXTRACT(YEAR FROM {col}) || '-' || " "LPAD(CAST(EXTRACT(MONTH FROM {col}) AS VARCHAR), 2, '0') || '-01' AS DATE)" ), TimeGrain.YEAR: "CAST(EXTRACT(YEAR FROM {col}) || '-01-01' AS DATE)", }