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307 changes: 307 additions & 0 deletions
307
...b/db/queryengine/execution/operator/source/relational/aggregation/ExtremeAccumulator.java
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| /* | ||
| * 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.queryengine.execution.operator.source.relational.aggregation; | ||
|
|
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| import org.apache.tsfile.block.column.Column; | ||
| import org.apache.tsfile.block.column.ColumnBuilder; | ||
| import org.apache.tsfile.enums.TSDataType; | ||
| import org.apache.tsfile.file.metadata.statistics.Statistics; | ||
| import org.apache.tsfile.utils.RamUsageEstimator; | ||
| import org.apache.tsfile.utils.TsPrimitiveType; | ||
| import org.apache.tsfile.write.UnSupportedDataTypeException; | ||
|
|
||
| public class ExtremeAccumulator implements TableAccumulator { | ||
| private static final long INSTANCE_SIZE = | ||
| RamUsageEstimator.shallowSizeOfInstance(ExtremeAccumulator.class); | ||
| private final TSDataType seriesDataType; | ||
| private final TsPrimitiveType extremeResult; | ||
| private boolean initResult; | ||
|
|
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| public ExtremeAccumulator(TSDataType seriesDataType) { | ||
| this.seriesDataType = seriesDataType; | ||
| this.extremeResult = TsPrimitiveType.getByType(seriesDataType); | ||
| } | ||
|
|
||
| @Override | ||
| public long getEstimatedSize() { | ||
| return INSTANCE_SIZE; | ||
| } | ||
|
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| @Override | ||
| public TableAccumulator copy() { | ||
| return new ExtremeAccumulator(seriesDataType); | ||
| } | ||
|
|
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| @Override | ||
| public void addInput(Column[] arguments) { | ||
| switch (seriesDataType) { | ||
| case INT32: | ||
| addIntInput(arguments[0]); | ||
| return; | ||
| case INT64: | ||
| addLongInput(arguments[0]); | ||
| return; | ||
| case FLOAT: | ||
| addFloatInput(arguments[0]); | ||
| return; | ||
| case DOUBLE: | ||
| addDoubleInput(arguments[0]); | ||
| return; | ||
| case TEXT: | ||
| case STRING: | ||
| case BLOB: | ||
| case BOOLEAN: | ||
| case DATE: | ||
| case TIMESTAMP: | ||
| default: | ||
| throw new UnSupportedDataTypeException( | ||
| String.format("Unsupported data type in Extreme: %s", seriesDataType)); | ||
| } | ||
| } | ||
|
|
||
| // partialResult should be like: | PartialExtremeValue | | ||
| @Override | ||
| public void addIntermediate(Column argument) { | ||
| for (int i = 0; i < argument.getPositionCount(); i++) { | ||
| if (argument.isNull(i)) { | ||
| continue; | ||
| } | ||
|
|
||
| switch (seriesDataType) { | ||
| case INT32: | ||
| updateIntResult(argument.getInt(i)); | ||
| break; | ||
| case INT64: | ||
| updateLongResult(argument.getLong(i)); | ||
| break; | ||
| case FLOAT: | ||
| updateFloatResult(argument.getFloat(i)); | ||
| break; | ||
| case DOUBLE: | ||
| updateDoubleResult(argument.getDouble(i)); | ||
| break; | ||
| case TEXT: | ||
| case STRING: | ||
| case BLOB: | ||
| case BOOLEAN: | ||
| case DATE: | ||
| case TIMESTAMP: | ||
| default: | ||
| throw new UnSupportedDataTypeException( | ||
| String.format("Unsupported data type in Extreme: %s", seriesDataType)); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| @Override | ||
| public void addStatistics(Statistics[] statistics) { | ||
| if (statistics == null || statistics[0] == null) { | ||
| return; | ||
| } | ||
|
|
||
| switch (seriesDataType) { | ||
| case INT32: | ||
| updateIntResult((int) statistics[0].getMaxValue()); | ||
| updateIntResult((int) statistics[0].getMinValue()); | ||
| break; | ||
| case INT64: | ||
| updateLongResult((long) statistics[0].getMaxValue()); | ||
| updateLongResult((long) statistics[0].getMinValue()); | ||
| break; | ||
| case FLOAT: | ||
| updateFloatResult((float) statistics[0].getMaxValue()); | ||
| updateFloatResult((float) statistics[0].getMinValue()); | ||
| break; | ||
| case DOUBLE: | ||
| updateDoubleResult((double) statistics[0].getMaxValue()); | ||
| updateDoubleResult((double) statistics[0].getMinValue()); | ||
| break; | ||
| case TEXT: | ||
| case STRING: | ||
| case BLOB: | ||
| case BOOLEAN: | ||
| case DATE: | ||
| case TIMESTAMP: | ||
| default: | ||
| throw new UnSupportedDataTypeException( | ||
| String.format("Unsupported data type in Extreme: %s", seriesDataType)); | ||
| } | ||
| } | ||
|
|
||
| // columnBuilder should be single in ExtremeAccumulator | ||
| @Override | ||
| public void evaluateIntermediate(ColumnBuilder columnBuilder) { | ||
| if (!initResult) { | ||
| columnBuilder.appendNull(); | ||
| return; | ||
| } | ||
|
|
||
| switch (seriesDataType) { | ||
| case INT32: | ||
| columnBuilder.writeInt(extremeResult.getInt()); | ||
| break; | ||
| case INT64: | ||
| columnBuilder.writeLong(extremeResult.getLong()); | ||
| break; | ||
| case FLOAT: | ||
| columnBuilder.writeFloat(extremeResult.getFloat()); | ||
| break; | ||
| case DOUBLE: | ||
| columnBuilder.writeDouble(extremeResult.getDouble()); | ||
| break; | ||
| case TEXT: | ||
| case STRING: | ||
| case BLOB: | ||
| case BOOLEAN: | ||
| case DATE: | ||
| case TIMESTAMP: | ||
| default: | ||
| throw new UnSupportedDataTypeException( | ||
| String.format("Unsupported data type in Extreme: %s", seriesDataType)); | ||
| } | ||
| } | ||
|
|
||
| @Override | ||
| public void evaluateFinal(ColumnBuilder columnBuilder) { | ||
| if (!initResult) { | ||
| columnBuilder.appendNull(); | ||
| return; | ||
| } | ||
|
|
||
| switch (seriesDataType) { | ||
| case INT32: | ||
| columnBuilder.writeInt(extremeResult.getInt()); | ||
| break; | ||
| case INT64: | ||
| columnBuilder.writeLong(extremeResult.getLong()); | ||
| break; | ||
| case FLOAT: | ||
| columnBuilder.writeFloat(extremeResult.getFloat()); | ||
| break; | ||
| case DOUBLE: | ||
| columnBuilder.writeDouble(extremeResult.getDouble()); | ||
| break; | ||
| case TEXT: | ||
| case STRING: | ||
| case BLOB: | ||
| case BOOLEAN: | ||
| case DATE: | ||
| case TIMESTAMP: | ||
| default: | ||
| throw new UnSupportedDataTypeException( | ||
| String.format("Unsupported data type in Extreme: %s", seriesDataType)); | ||
| } | ||
| } | ||
|
|
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| @Override | ||
| public void reset() { | ||
| initResult = false; | ||
| extremeResult.reset(); | ||
| } | ||
|
|
||
| @Override | ||
| public boolean hasFinalResult() { | ||
| return false; | ||
| } | ||
|
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| private void addIntInput(Column column) { | ||
| for (int i = 0; i < column.getPositionCount(); i++) { | ||
| if (!column.isNull(i)) { | ||
| updateIntResult(column.getInt(i)); | ||
| } | ||
| } | ||
| } | ||
|
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| private void updateIntResult(int val) { | ||
| int absExtVal = Math.abs(val); | ||
| int candidateResult = extremeResult.getInt(); | ||
| int absCandidateResult = Math.abs(extremeResult.getInt()); | ||
|
|
||
| if (!initResult | ||
| || (absExtVal > absCandidateResult) | ||
| || (absExtVal == absCandidateResult) && val > candidateResult) { | ||
| initResult = true; | ||
| extremeResult.setInt(val); | ||
| } | ||
| } | ||
|
|
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| private void addLongInput(Column column) { | ||
| for (int i = 0; i < column.getPositionCount(); i++) { | ||
| if (!column.isNull(i)) { | ||
| updateLongResult(column.getLong(i)); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| private void updateLongResult(long val) { | ||
| long absExtVal = Math.abs(val); | ||
| long candidateResult = extremeResult.getLong(); | ||
| long absCandidateResult = Math.abs(extremeResult.getLong()); | ||
|
|
||
| if (!initResult | ||
| || (absExtVal > absCandidateResult) | ||
| || (absExtVal == absCandidateResult) && val > candidateResult) { | ||
| initResult = true; | ||
| extremeResult.setLong(val); | ||
| } | ||
| } | ||
|
|
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| private void addFloatInput(Column column) { | ||
| for (int i = 0; i < column.getPositionCount(); i++) { | ||
| if (!column.isNull(i)) { | ||
| updateFloatResult(column.getFloat(i)); | ||
| } | ||
| } | ||
| } | ||
|
|
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| private void updateFloatResult(float val) { | ||
| float absExtVal = Math.abs(val); | ||
| float candidateResult = extremeResult.getFloat(); | ||
| float absCandidateResult = Math.abs(extremeResult.getFloat()); | ||
|
|
||
| if (!initResult | ||
| || (absExtVal > absCandidateResult) | ||
| || (absExtVal == absCandidateResult) && val > candidateResult) { | ||
| initResult = true; | ||
| extremeResult.setFloat(val); | ||
| } | ||
| } | ||
|
|
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| private void addDoubleInput(Column column) { | ||
| for (int i = 0; i < column.getPositionCount(); i++) { | ||
| if (!column.isNull(i)) { | ||
| updateDoubleResult(column.getDouble(i)); | ||
| } | ||
| } | ||
| } | ||
|
|
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| private void updateDoubleResult(double val) { | ||
| double absExtVal = Math.abs(val); | ||
| double candidateResult = extremeResult.getDouble(); | ||
| double absCandidateResult = Math.abs(extremeResult.getDouble()); | ||
|
|
||
| if (!initResult | ||
| || (absExtVal > absCandidateResult) | ||
| || (absExtVal == absCandidateResult) && val > candidateResult) { | ||
| initResult = true; | ||
| extremeResult.setDouble(val); | ||
| } | ||
| } | ||
| } |