| /* |
| * 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. |
| */ |
| |
| package org.apache.iotdb.commons.udf.builtin; |
| |
| import org.apache.iotdb.commons.exception.MetadataException; |
| import org.apache.iotdb.commons.udf.utils.UDFDataTypeTransformer; |
| import org.apache.iotdb.tsfile.file.metadata.enums.TSDataType; |
| import org.apache.iotdb.tsfile.read.common.block.column.Column; |
| import org.apache.iotdb.tsfile.read.common.block.column.ColumnBuilder; |
| import org.apache.iotdb.udf.api.UDTF; |
| import org.apache.iotdb.udf.api.access.Row; |
| import org.apache.iotdb.udf.api.collector.PointCollector; |
| import org.apache.iotdb.udf.api.customizer.config.UDTFConfigurations; |
| import org.apache.iotdb.udf.api.customizer.parameter.UDFParameterValidator; |
| import org.apache.iotdb.udf.api.customizer.parameter.UDFParameters; |
| import org.apache.iotdb.udf.api.customizer.strategy.MappableRowByRowAccessStrategy; |
| import org.apache.iotdb.udf.api.exception.UDFException; |
| import org.apache.iotdb.udf.api.exception.UDFInputSeriesDataTypeNotValidException; |
| import org.apache.iotdb.udf.api.type.Type; |
| |
| import java.io.IOException; |
| |
| public class UDTFOnOff implements UDTF { |
| |
| protected double threshold; |
| |
| private TSDataType dataType; |
| |
| @Override |
| public void validate(UDFParameterValidator validator) throws UDFException { |
| validator |
| .validateInputSeriesNumber(1) |
| .validateInputSeriesDataType(0, Type.INT32, Type.INT64, Type.FLOAT, Type.DOUBLE) |
| .validateRequiredAttribute("threshold"); |
| } |
| |
| @Override |
| public void beforeStart(UDFParameters parameters, UDTFConfigurations configurations) |
| throws MetadataException { |
| threshold = parameters.getDouble("threshold"); |
| dataType = UDFDataTypeTransformer.transformToTsDataType(parameters.getDataType(0)); |
| configurations |
| .setAccessStrategy(new MappableRowByRowAccessStrategy()) |
| .setOutputDataType(Type.BOOLEAN); |
| } |
| |
| @Override |
| public void transform(Row row, PointCollector collector) |
| throws UDFInputSeriesDataTypeNotValidException, IOException { |
| long time = row.getTime(); |
| switch (dataType) { |
| case INT32: |
| collector.putBoolean(time, row.getInt(0) >= threshold); |
| break; |
| case INT64: |
| collector.putBoolean(time, (row.getLong(0) >= threshold)); |
| break; |
| case FLOAT: |
| collector.putBoolean(time, (row.getFloat(0) >= threshold)); |
| break; |
| case DOUBLE: |
| collector.putBoolean(time, (row.getDouble(0) >= threshold)); |
| break; |
| default: |
| // This will not happen. |
| throw new UDFInputSeriesDataTypeNotValidException( |
| 0, |
| UDFDataTypeTransformer.transformToUDFDataType(dataType), |
| Type.INT32, |
| Type.INT64, |
| Type.FLOAT, |
| Type.DOUBLE); |
| } |
| } |
| |
| @Override |
| public Object transform(Row row) throws IOException { |
| if (row.isNull(0)) { |
| return null; |
| } |
| switch (dataType) { |
| case INT32: |
| return row.getInt(0) >= threshold; |
| case INT64: |
| return row.getLong(0) >= threshold; |
| case FLOAT: |
| return row.getFloat(0) >= threshold; |
| case DOUBLE: |
| return row.getDouble(0) >= threshold; |
| default: |
| // This will not happen. |
| throw new UDFInputSeriesDataTypeNotValidException( |
| 0, |
| UDFDataTypeTransformer.transformToUDFDataType(dataType), |
| Type.INT32, |
| Type.INT64, |
| Type.FLOAT, |
| Type.DOUBLE); |
| } |
| } |
| |
| @Override |
| public void transform(Column[] columns, ColumnBuilder builder) throws Exception { |
| switch (dataType) { |
| case INT32: |
| transformInt(columns, builder); |
| return; |
| case INT64: |
| transformLong(columns, builder); |
| return; |
| case FLOAT: |
| transformFloat(columns, builder); |
| return; |
| case DOUBLE: |
| transformDouble(columns, builder); |
| return; |
| default: |
| // This will not happen. |
| throw new UDFInputSeriesDataTypeNotValidException( |
| 0, |
| UDFDataTypeTransformer.transformToUDFDataType(dataType), |
| Type.INT32, |
| Type.INT64, |
| Type.FLOAT, |
| Type.DOUBLE); |
| } |
| } |
| |
| private void transformInt(Column[] columns, ColumnBuilder builder) { |
| int[] inputs = columns[0].getInts(); |
| boolean[] isNulls = columns[0].isNull(); |
| |
| int count = columns[0].getPositionCount(); |
| for (int i = 0; i < count; i++) { |
| if (isNulls[i]) { |
| builder.appendNull(); |
| } else { |
| builder.writeBoolean(inputs[i] >= threshold); |
| } |
| } |
| } |
| |
| private void transformLong(Column[] columns, ColumnBuilder builder) { |
| long[] inputs = columns[0].getLongs(); |
| boolean[] isNulls = columns[0].isNull(); |
| |
| int count = columns[0].getPositionCount(); |
| for (int i = 0; i < count; i++) { |
| if (isNulls[i]) { |
| builder.appendNull(); |
| } else { |
| builder.writeBoolean(inputs[i] >= threshold); |
| } |
| } |
| } |
| |
| private void transformFloat(Column[] columns, ColumnBuilder builder) { |
| float[] inputs = columns[0].getFloats(); |
| boolean[] isNulls = columns[0].isNull(); |
| |
| int count = columns[0].getPositionCount(); |
| for (int i = 0; i < count; i++) { |
| if (isNulls[i]) { |
| builder.appendNull(); |
| } else { |
| builder.writeBoolean(inputs[i] >= threshold); |
| } |
| } |
| } |
| |
| private void transformDouble(Column[] columns, ColumnBuilder builder) { |
| double[] inputs = columns[0].getDoubles(); |
| boolean[] isNulls = columns[0].isNull(); |
| |
| int count = columns[0].getPositionCount(); |
| for (int i = 0; i < count; i++) { |
| if (isNulls[i]) { |
| builder.appendNull(); |
| } else { |
| builder.writeBoolean(inputs[i] >= threshold); |
| } |
| } |
| } |
| } |