
io.questdb.griffin.engine.groupby.vect.KSumDoubleVectorAggregateFunction Maven / Gradle / Ivy
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* Copyright (c) 2014-2019 Appsicle
* Copyright (c) 2019-2022 QuestDB
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* 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
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* http://www.apache.org/licenses/LICENSE-2.0
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package io.questdb.griffin.engine.groupby.vect;
import io.questdb.cairo.ArrayColumnTypes;
import io.questdb.cairo.ColumnType;
import io.questdb.cairo.sql.Record;
import io.questdb.griffin.engine.functions.DoubleFunction;
import io.questdb.std.Misc;
import io.questdb.std.Rosti;
import io.questdb.std.Unsafe;
import io.questdb.std.Vect;
import java.util.Arrays;
import static io.questdb.griffin.SqlCodeGenerator.GKK_HOUR_INT;
public class KSumDoubleVectorAggregateFunction extends DoubleFunction implements VectorAggregateFunction {
// We're using two double values per worker, hence +1 element in the padding.
private static final int SUM_PADDING = (Misc.CACHE_LINE_SIZE / Double.BYTES) + 1;
private static final int COUNT_PADDING = Misc.CACHE_LINE_SIZE / Long.BYTES;
private final int columnIndex;
private final double[] sum;
private final long[] count;
private final int workerCount;
private final DistinctFunc distinctFunc;
private final KeyValueFunc keyValueFunc;
private int valueOffset;
public KSumDoubleVectorAggregateFunction(int keyKind, int columnIndex, int workerCount) {
this.columnIndex = columnIndex;
this.sum = new double[workerCount * SUM_PADDING];
this.count = new long[workerCount * COUNT_PADDING];
this.workerCount = workerCount;
if (keyKind == GKK_HOUR_INT) {
this.distinctFunc = Rosti::keyedHourDistinct;
this.keyValueFunc = Rosti::keyedHourKSumDouble;
} else {
this.keyValueFunc = Rosti::keyedIntKSumDouble;
this.distinctFunc = Rosti::keyedIntDistinct;
}
}
@Override
public void aggregate(long address, long addressSize, int columnSizeHint, int workerId) {
if (address != 0) {
// Kahan compensated summation
final double x = Vect.sumDoubleKahan(address, addressSize / Double.BYTES);
if (x == x) {
final int sumOffset = workerId * SUM_PADDING;
final double sum = this.sum[sumOffset];
final double y = x - this.sum[sumOffset + 1]; // y = x - c
final double t = sum + y; // t = sum + y
this.sum[sumOffset + 1] = t - sum - y; // c = t - sum - y
this.sum[sumOffset] = t; // sum = t
this.count[workerId * COUNT_PADDING]++;
}
}
}
@Override
public void aggregate(long pRosti, long keyAddress, long valueAddress, long valueAddressSize, int columnSizeShr, int workerId) {
if (valueAddress == 0) {
distinctFunc.run(pRosti, keyAddress, valueAddressSize / Double.BYTES);
} else {
keyValueFunc.run(pRosti, keyAddress, valueAddress, valueAddressSize / Double.BYTES, valueOffset);
}
}
@Override
public int getColumnIndex() {
return columnIndex;
}
@Override
public int getValueOffset() {
return valueOffset;
}
@Override
public void initRosti(long pRosti) {
Unsafe.getUnsafe().putDouble(Rosti.getInitialValueSlot(pRosti, valueOffset), 0.0);
Unsafe.getUnsafe().putDouble(Rosti.getInitialValueSlot(pRosti, valueOffset + 1), 0.0);
Unsafe.getUnsafe().putLong(Rosti.getInitialValueSlot(pRosti, valueOffset + 2), 0);
}
@Override
public void merge(long pRostiA, long pRostiB) {
Rosti.keyedIntKSumDoubleMerge(pRostiA, pRostiB, valueOffset);
}
@Override
public void pushValueTypes(ArrayColumnTypes types) {
this.valueOffset = types.getColumnCount();
types.add(ColumnType.DOUBLE); // sum
types.add(ColumnType.DOUBLE); // c
types.add(ColumnType.LONG); // count
}
@Override
public void wrapUp(long pRosti) {
double sum = 0;
long count = 0;
double c = 0;
for (int i = 0; i < workerCount; i++) {
double y = this.sum[i * SUM_PADDING] - c;
double t = sum + y;
c = t - sum - y;
sum = t;
count += this.count[i * COUNT_PADDING];
}
Rosti.keyedIntKSumDoubleWrapUp(pRosti, valueOffset, sum, count);
}
@Override
public void clear() {
Arrays.fill(sum, 0);
Arrays.fill(count, 0);
}
@Override
public double getDouble(Record rec) {
double sum = 0;
long count = 0;
double c = 0;
for (int i = 0; i < workerCount; i++) {
double y = this.sum[i * SUM_PADDING] - c;
double t = sum + y;
c = t - sum - y;
sum = t;
count += this.count[i * COUNT_PADDING];
}
return count > 0 ? sum : Double.NaN;
}
@Override
public boolean isReadThreadSafe() {
return false;
}
}
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