Java Code Examples for org.apache.kylin.metadata.model.FunctionDesc#getReturnDataType()
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org.apache.kylin.metadata.model.FunctionDesc#getReturnDataType() .
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Example 1
Source File: FunctionRule.java From Kylin with Apache License 2.0 | 6 votes |
private void validateReturnType(ValidateContext context, CubeDesc cube, FunctionDesc funcDesc) { String func = funcDesc.getExpression(); DataType rtype = funcDesc.getReturnDataType(); if (funcDesc.isCount()) { if (rtype.isIntegerFamily() == false) { context.addResult(ResultLevel.ERROR, "Return type for function " + func + " must be one of " + DataType.INTEGER_FAMILY); } } else if (funcDesc.isCountDistinct()) { if (rtype.isHLLC() == false && funcDesc.isHolisticCountDistinct() == false) { context.addResult(ResultLevel.ERROR, "Return type for function " + func + " must be hllc(10), hllc(12) etc."); } } else if (funcDesc.isMax() || funcDesc.isMin() || funcDesc.isSum()) { if (rtype.isNumberFamily() == false) { context.addResult(ResultLevel.ERROR, "Return type for function " + func + " must be one of " + DataType.NUMBER_FAMILY); } } else { if (StringUtils.equalsIgnoreCase(KylinConfig.getInstanceFromEnv().getProperty(KEY_IGNORE_UNKNOWN_FUNC, "false"), "false")) { context.addResult(ResultLevel.ERROR, "Unrecognized function: [" + func + "]"); } } }
Example 2
Source File: ResponseResultSchema.java From kylin-on-parquet-v2 with Apache License 2.0 | 5 votes |
private void init(Set<TblColRef> selectedDimensions, Set<FunctionDesc> selectedMetrics) { this.dimensions = new TblColRef[selectedDimensions.size()]; this.metrics = new FunctionDesc[selectedMetrics.size()]; this.measures = new MeasureDesc[selectedMetrics.size()]; this.dimDataTypes = new DataType[dimensions.length]; this.metricsDataTypes = new DataType[metrics.length]; // sort dimensions according to the rowKey definition dimColIdxMap = Maps.newHashMap(); RowKeyDesc rowKeyDesc = cubeDesc.getRowkey(); int colIdx = 0; for (RowKeyColDesc rowKeyColDesc : rowKeyDesc.getRowKeyColumns()) { TblColRef dimension = rowKeyColDesc.getColRef(); if (selectedDimensions.contains(dimension)) { dimensions[colIdx] = dimension; dimDataTypes[colIdx] = dimension.getType(); dimColIdxMap.put(dimension, colIdx); colIdx++; } } nDimensions = colIdx; colIdx = 0; // metrics metricsColIdxMap = Maps.newHashMap(); for (MeasureDesc measure : cubeDesc.getMeasures()) { FunctionDesc func = measure.getFunction(); if (selectedMetrics.contains(func)) { metrics[colIdx] = func; measures[colIdx] = measure; metricsColIdxMap.put(func.getParameter().getColRef(), colIdx); metricsDataTypes[colIdx] = func.getReturnDataType(); colIdx++; } } nMetrics = colIdx; }
Example 3
Source File: ResponseResultSchema.java From kylin with Apache License 2.0 | 5 votes |
private void init(Set<TblColRef> selectedDimensions, Set<FunctionDesc> selectedMetrics) { this.dimensions = new TblColRef[selectedDimensions.size()]; this.metrics = new FunctionDesc[selectedMetrics.size()]; this.measures = new MeasureDesc[selectedMetrics.size()]; this.dimDataTypes = new DataType[dimensions.length]; this.metricsDataTypes = new DataType[metrics.length]; // sort dimensions according to the rowKey definition dimColIdxMap = Maps.newHashMap(); RowKeyDesc rowKeyDesc = cubeDesc.getRowkey(); int colIdx = 0; for (RowKeyColDesc rowKeyColDesc : rowKeyDesc.getRowKeyColumns()) { TblColRef dimension = rowKeyColDesc.getColRef(); if (selectedDimensions.contains(dimension)) { dimensions[colIdx] = dimension; dimDataTypes[colIdx] = dimension.getType(); dimColIdxMap.put(dimension, colIdx); colIdx++; } } nDimensions = colIdx; colIdx = 0; // metrics metricsColIdxMap = Maps.newHashMap(); for (MeasureDesc measure : cubeDesc.getMeasures()) { FunctionDesc func = measure.getFunction(); if (selectedMetrics.contains(func)) { metrics[colIdx] = func; measures[colIdx] = measure; metricsColIdxMap.put(func.getParameter().getColRef(), colIdx); metricsDataTypes[colIdx] = func.getReturnDataType(); colIdx++; } } nMetrics = colIdx; }