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@finos/legend-data-cube

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/** * Copyright (c) 2020-present, Goldman Sachs * * Licensed 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. */ import { DataCubeQueryAggregateOperation } from './DataCubeQueryAggregateOperation.js'; import { DataCubeQueryAggregateOperator, DataCubeColumnDataType, DataCubeFunction, ofDataType, } from '../DataCubeQueryEngine.js'; import { _aggCol_base } from '../DataCubeQueryBuilderUtils.js'; import { _agg_base } from '../DataCubeSnapshotBuilderUtils.js'; export class DataCubeQueryAggregateOperation__Count extends DataCubeQueryAggregateOperation { get label() { return 'count'; } get textLabel() { return 'count'; } get description() { return 'count'; } get operator() { return DataCubeQueryAggregateOperator.COUNT; } isCompatibleWithColumn(column) { return ofDataType(column.type, [ // NOTE: technically all data types are suported, // but we can't because we must preserve the type // of the original column // // typically, what users usually do is to create a "dummy" // extended column of value=1 and aggregate on that for the count DataCubeColumnDataType.NUMBER, ]); } isCompatibleWithParameterValues(values) { return !values.length; } generateDefaultParameterValues(column) { return []; } buildAggregateColumnSnapshot(colSpec, columnGetter) { return this._finalizeAggregateColumnSnapshot(_agg_base(colSpec, DataCubeFunction.COUNT, columnGetter)); } buildAggregateColumnExpression(column) { return _aggCol_base(column, DataCubeFunction.COUNT); } } //# sourceMappingURL=DataCubeQueryAggregateOperation__Count.js.map