| /* |
| * 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.db.mpp.aggregation; |
| |
| import org.apache.iotdb.tsfile.exception.write.UnSupportedDataTypeException; |
| import org.apache.iotdb.tsfile.file.metadata.enums.TSDataType; |
| import org.apache.iotdb.tsfile.file.metadata.statistics.Statistics; |
| import org.apache.iotdb.tsfile.read.common.TimeRange; |
| import org.apache.iotdb.tsfile.read.common.block.column.Column; |
| import org.apache.iotdb.tsfile.read.common.block.column.ColumnBuilder; |
| import org.apache.iotdb.tsfile.utils.Binary; |
| import org.apache.iotdb.tsfile.utils.TsPrimitiveType; |
| |
| import static com.google.common.base.Preconditions.checkArgument; |
| |
| public class FirstValueAccumulator implements Accumulator { |
| |
| protected final TSDataType seriesDataType; |
| protected boolean hasCandidateResult; |
| protected TsPrimitiveType firstValue; |
| protected long minTime = Long.MAX_VALUE; |
| |
| public FirstValueAccumulator(TSDataType seriesDataType) { |
| this.seriesDataType = seriesDataType; |
| firstValue = TsPrimitiveType.getByType(seriesDataType); |
| } |
| |
| // Column should be like: | Time | Value | |
| @Override |
| public int addInput(Column[] column, TimeRange timeRange) { |
| switch (seriesDataType) { |
| case INT32: |
| return addIntInput(column, timeRange); |
| case INT64: |
| return addLongInput(column, timeRange); |
| case FLOAT: |
| return addFloatInput(column, timeRange); |
| case DOUBLE: |
| return addDoubleInput(column, timeRange); |
| case TEXT: |
| return addBinaryInput(column, timeRange); |
| case BOOLEAN: |
| return addBooleanInput(column, timeRange); |
| default: |
| throw new UnSupportedDataTypeException( |
| String.format("Unsupported data type in FirstValue: %s", seriesDataType)); |
| } |
| } |
| |
| // partialResult should be like: | FirstValue | MinTime | |
| @Override |
| public void addIntermediate(Column[] partialResult) { |
| checkArgument(partialResult.length == 2, "partialResult of FirstValue should be 2"); |
| if (partialResult[0].isNull(0)) { |
| return; |
| } |
| switch (seriesDataType) { |
| case INT32: |
| updateIntFirstValue(partialResult[0].getInt(0), partialResult[1].getLong(0)); |
| break; |
| case INT64: |
| updateLongFirstValue(partialResult[0].getLong(0), partialResult[1].getLong(0)); |
| break; |
| case FLOAT: |
| updateFloatFirstValue(partialResult[0].getFloat(0), partialResult[1].getLong(0)); |
| break; |
| case DOUBLE: |
| updateDoubleFirstValue(partialResult[0].getDouble(0), partialResult[1].getLong(0)); |
| break; |
| case TEXT: |
| updateBinaryFirstValue(partialResult[0].getBinary(0), partialResult[1].getLong(0)); |
| break; |
| case BOOLEAN: |
| updateBooleanFirstValue(partialResult[0].getBoolean(0), partialResult[1].getLong(0)); |
| break; |
| default: |
| throw new UnSupportedDataTypeException( |
| String.format("Unsupported data type in FirstValue: %s", seriesDataType)); |
| } |
| } |
| |
| @Override |
| public void addStatistics(Statistics statistics) { |
| if (statistics == null) { |
| return; |
| } |
| switch (seriesDataType) { |
| case INT32: |
| updateIntFirstValue((int) statistics.getFirstValue(), statistics.getStartTime()); |
| break; |
| case INT64: |
| updateLongFirstValue((long) statistics.getFirstValue(), statistics.getStartTime()); |
| break; |
| case FLOAT: |
| updateFloatFirstValue((float) statistics.getFirstValue(), statistics.getStartTime()); |
| break; |
| case DOUBLE: |
| updateDoubleFirstValue((double) statistics.getFirstValue(), statistics.getStartTime()); |
| break; |
| case TEXT: |
| updateBinaryFirstValue((Binary) statistics.getFirstValue(), statistics.getStartTime()); |
| break; |
| case BOOLEAN: |
| updateBooleanFirstValue((boolean) statistics.getFirstValue(), statistics.getStartTime()); |
| break; |
| default: |
| throw new UnSupportedDataTypeException( |
| String.format("Unsupported data type in FirstValue: %s", seriesDataType)); |
| } |
| } |
| |
| // finalResult should be single column, like: | finalFirstValue | |
| @Override |
| public void setFinal(Column finalResult) { |
| reset(); |
| hasCandidateResult = true; |
| firstValue.setObject(finalResult.getObject(0)); |
| } |
| |
| // columnBuilder should be double in FirstValueAccumulator |
| @Override |
| public void outputIntermediate(ColumnBuilder[] columnBuilders) { |
| checkArgument(columnBuilders.length == 2, "partialResult of FirstValue should be 2"); |
| if (!hasCandidateResult) { |
| columnBuilders[0].appendNull(); |
| columnBuilders[1].appendNull(); |
| return; |
| } |
| switch (seriesDataType) { |
| case INT32: |
| columnBuilders[0].writeInt(firstValue.getInt()); |
| break; |
| case INT64: |
| columnBuilders[0].writeLong(firstValue.getLong()); |
| break; |
| case FLOAT: |
| columnBuilders[0].writeFloat(firstValue.getFloat()); |
| break; |
| case DOUBLE: |
| columnBuilders[0].writeDouble(firstValue.getDouble()); |
| break; |
| case TEXT: |
| columnBuilders[0].writeBinary(firstValue.getBinary()); |
| break; |
| case BOOLEAN: |
| columnBuilders[0].writeBoolean(firstValue.getBoolean()); |
| break; |
| default: |
| throw new UnSupportedDataTypeException( |
| String.format("Unsupported data type in Extreme: %s", seriesDataType)); |
| } |
| columnBuilders[1].writeLong(minTime); |
| } |
| |
| @Override |
| public void outputFinal(ColumnBuilder columnBuilder) { |
| if (!hasCandidateResult) { |
| columnBuilder.appendNull(); |
| return; |
| } |
| switch (seriesDataType) { |
| case INT32: |
| columnBuilder.writeInt(firstValue.getInt()); |
| break; |
| case INT64: |
| columnBuilder.writeLong(firstValue.getLong()); |
| break; |
| case FLOAT: |
| columnBuilder.writeFloat(firstValue.getFloat()); |
| break; |
| case DOUBLE: |
| columnBuilder.writeDouble(firstValue.getDouble()); |
| break; |
| case TEXT: |
| columnBuilder.writeBinary(firstValue.getBinary()); |
| break; |
| case BOOLEAN: |
| columnBuilder.writeBoolean(firstValue.getBoolean()); |
| break; |
| default: |
| throw new UnSupportedDataTypeException( |
| String.format("Unsupported data type in Extreme: %s", seriesDataType)); |
| } |
| } |
| |
| @Override |
| public void reset() { |
| hasCandidateResult = false; |
| this.minTime = Long.MAX_VALUE; |
| this.firstValue.reset(); |
| } |
| |
| @Override |
| public boolean hasFinalResult() { |
| return hasCandidateResult; |
| } |
| |
| @Override |
| public TSDataType[] getIntermediateType() { |
| return new TSDataType[] {firstValue.getDataType(), TSDataType.INT64}; |
| } |
| |
| @Override |
| public TSDataType getFinalType() { |
| return firstValue.getDataType(); |
| } |
| |
| protected int addIntInput(Column[] column, TimeRange timeRange) { |
| int curPositionCount = column[0].getPositionCount(); |
| long curMinTime = timeRange.getMin(); |
| long curMaxTime = timeRange.getMax(); |
| for (int i = 0; i < curPositionCount; i++) { |
| long curTime = column[0].getLong(i); |
| if (curTime > curMaxTime || curTime < curMinTime) { |
| return i; |
| } |
| if (!column[1].isNull(i)) { |
| updateIntFirstValue(column[1].getInt(i), curTime); |
| return i; |
| } |
| } |
| return column[0].getPositionCount(); |
| } |
| |
| protected void updateIntFirstValue(int value, long curTime) { |
| hasCandidateResult = true; |
| if (curTime < minTime) { |
| minTime = curTime; |
| firstValue.setInt(value); |
| } |
| } |
| |
| protected int addLongInput(Column[] column, TimeRange timeRange) { |
| int curPositionCount = column[0].getPositionCount(); |
| long curMinTime = timeRange.getMin(); |
| long curMaxTime = timeRange.getMax(); |
| for (int i = 0; i < curPositionCount; i++) { |
| long curTime = column[0].getLong(i); |
| if (curTime > curMaxTime || curTime < curMinTime) { |
| return i; |
| } |
| if (!column[1].isNull(i)) { |
| updateLongFirstValue(column[1].getLong(i), curTime); |
| return i; |
| } |
| } |
| return column[0].getPositionCount(); |
| } |
| |
| protected void updateLongFirstValue(long value, long curTime) { |
| hasCandidateResult = true; |
| if (curTime < minTime) { |
| minTime = curTime; |
| firstValue.setLong(value); |
| } |
| } |
| |
| protected int addFloatInput(Column[] column, TimeRange timeRange) { |
| int curPositionCount = column[0].getPositionCount(); |
| long curMinTime = timeRange.getMin(); |
| long curMaxTime = timeRange.getMax(); |
| for (int i = 0; i < curPositionCount; i++) { |
| long curTime = column[0].getLong(i); |
| if (curTime > curMaxTime || curTime < curMinTime) { |
| return i; |
| } |
| if (!column[1].isNull(i)) { |
| updateFloatFirstValue(column[1].getFloat(i), curTime); |
| return i; |
| } |
| } |
| return column[0].getPositionCount(); |
| } |
| |
| protected void updateFloatFirstValue(float value, long curTime) { |
| hasCandidateResult = true; |
| if (curTime < minTime) { |
| minTime = curTime; |
| firstValue.setFloat(value); |
| } |
| } |
| |
| protected int addDoubleInput(Column[] column, TimeRange timeRange) { |
| int curPositionCount = column[0].getPositionCount(); |
| long curMinTime = timeRange.getMin(); |
| long curMaxTime = timeRange.getMax(); |
| for (int i = 0; i < curPositionCount; i++) { |
| long curTime = column[0].getLong(i); |
| if (curTime > curMaxTime || curTime < curMinTime) { |
| return i; |
| } |
| if (!column[1].isNull(i)) { |
| updateDoubleFirstValue(column[1].getDouble(i), curTime); |
| return i; |
| } |
| } |
| return column[0].getPositionCount(); |
| } |
| |
| protected void updateDoubleFirstValue(double value, long curTime) { |
| hasCandidateResult = true; |
| if (curTime < minTime) { |
| minTime = curTime; |
| firstValue.setDouble(value); |
| } |
| } |
| |
| protected int addBooleanInput(Column[] column, TimeRange timeRange) { |
| int curPositionCount = column[0].getPositionCount(); |
| long curMinTime = timeRange.getMin(); |
| long curMaxTime = timeRange.getMax(); |
| for (int i = 0; i < curPositionCount; i++) { |
| long curTime = column[0].getLong(i); |
| if (curTime > curMaxTime || curTime < curMinTime) { |
| return i; |
| } |
| if (!column[1].isNull(i)) { |
| updateBooleanFirstValue(column[1].getBoolean(i), curTime); |
| return i; |
| } |
| } |
| return column[0].getPositionCount(); |
| } |
| |
| protected void updateBooleanFirstValue(boolean value, long curTime) { |
| hasCandidateResult = true; |
| if (curTime < minTime) { |
| minTime = curTime; |
| firstValue.setBoolean(value); |
| } |
| } |
| |
| protected int addBinaryInput(Column[] column, TimeRange timeRange) { |
| int curPositionCount = column[0].getPositionCount(); |
| long curMinTime = timeRange.getMin(); |
| long curMaxTime = timeRange.getMax(); |
| for (int i = 0; i < curPositionCount; i++) { |
| long curTime = column[0].getLong(i); |
| if (curTime > curMaxTime || curTime < curMinTime) { |
| return i; |
| } |
| if (!column[1].isNull(i)) { |
| updateBinaryFirstValue(column[1].getBinary(i), curTime); |
| return i; |
| } |
| } |
| return column[0].getPositionCount(); |
| } |
| |
| protected void updateBinaryFirstValue(Binary value, long curTime) { |
| hasCandidateResult = true; |
| if (curTime < minTime) { |
| minTime = curTime; |
| firstValue.setBinary(value); |
| } |
| } |
| } |