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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.druid.query.groupby.epinephelinae.column;
import com.google.common.annotations.VisibleForTesting;
import it.unimi.dsi.fastutil.objects.Object2IntMap;
import org.apache.druid.query.groupby.ResultRow;
import org.apache.druid.query.groupby.epinephelinae.DictionaryBuilding;
import org.apache.druid.query.groupby.epinephelinae.Grouper;
import org.apache.druid.query.ordering.StringComparator;
import org.apache.druid.query.ordering.StringComparators;
import org.apache.druid.segment.ColumnValueSelector;
import org.apache.druid.segment.column.ColumnType;
import javax.annotation.Nullable;
import java.nio.ByteBuffer;
import java.util.List;
public abstract class ArrayNumericGroupByColumnSelectorStrategy
implements GroupByColumnSelectorStrategy
{
protected static final int GROUP_BY_MISSING_VALUE = -1;
private final List<Object[]> dictionary;
private final Object2IntMap<Object[]> reverseDictionary;
private long estimatedFootprint = 0L;
private final int valueFootprint;
public ArrayNumericGroupByColumnSelectorStrategy(final int valueFootprint, final ColumnType arrayType)
{
this.dictionary = DictionaryBuilding.createDictionary();
this.reverseDictionary = DictionaryBuilding.createReverseDictionaryForPrimitiveArray(arrayType);
this.valueFootprint = valueFootprint;
}
@Override
public int getGroupingKeySize()
{
return Integer.BYTES;
}
@Override
public void processValueFromGroupingKey(
GroupByColumnSelectorPlus selectorPlus,
ByteBuffer key,
ResultRow resultRow,
int keyBufferPosition
)
{
final int id = key.getInt(keyBufferPosition);
// GROUP_BY_MISSING_VALUE is used to indicate empty rows, which are omitted from the result map.
if (id != GROUP_BY_MISSING_VALUE) {
final Object[] value = dictionary.get(id);
resultRow.set(selectorPlus.getResultRowPosition(), value);
} else {
resultRow.set(selectorPlus.getResultRowPosition(), null);
}
}
@Override
public int initColumnValues(ColumnValueSelector selector, int columnIndex, Object[] valuess)
{
final long priorFootprint = estimatedFootprint;
valuess[columnIndex] = computeDictionaryId(selector);
return (int) (estimatedFootprint - priorFootprint);
}
@Override
public void initGroupingKeyColumnValue(
int keyBufferPosition,
int dimensionIndex,
Object rowObj,
ByteBuffer keyBuffer,
int[] stack
)
{
final int groupingKey = (int) rowObj;
writeToKeyBuffer(keyBufferPosition, groupingKey, keyBuffer);
if (groupingKey == GROUP_BY_MISSING_VALUE) {
stack[dimensionIndex] = 0;
} else {
stack[dimensionIndex] = 1;
}
}
@Override
public boolean checkRowIndexAndAddValueToGroupingKey(
int keyBufferPosition,
Object rowObj,
int rowValIdx,
ByteBuffer keyBuffer
)
{
return false;
}
protected abstract int computeDictionaryId(ColumnValueSelector selector);
@Override
public int writeToKeyBuffer(int keyBufferPosition, ColumnValueSelector selector, ByteBuffer keyBuffer)
{
final long priorFootprint = estimatedFootprint;
// computeDictionaryId updates estimatedFootprint
keyBuffer.putInt(keyBufferPosition, computeDictionaryId(selector));
return (int) (estimatedFootprint - priorFootprint);
}
protected int addToIndexedDictionary(Object[] t)
{
final int dictId = reverseDictionary.getInt(t);
if (dictId < 0) {
final int size = dictionary.size();
dictionary.add(t);
reverseDictionary.put(t, size);
// Footprint estimate: one pointer, one value per list entry.
estimatedFootprint += DictionaryBuilding.estimateEntryFootprint(t.length * (Long.BYTES + valueFootprint));
return size;
}
return dictId;
}
@Override
public Grouper.BufferComparator bufferComparator(int keyBufferPosition, @Nullable StringComparator stringComparator)
{
StringComparator comparator = stringComparator == null ? StringComparators.NUMERIC : stringComparator;
return (lhsBuffer, rhsBuffer, lhsPosition, rhsPosition) -> {
Object[] lhs = dictionary.get(lhsBuffer.getInt(lhsPosition + keyBufferPosition));
Object[] rhs = dictionary.get(rhsBuffer.getInt(rhsPosition + keyBufferPosition));
int minLength = Math.min(lhs.length, rhs.length);
//noinspection ArrayEquality
if (lhs == rhs) {
return 0;
} else {
for (int i = 0; i < minLength; i++) {
final Object left = lhs[i];
final Object right = rhs[i];
final int cmp;
if (left == null && right == null) {
cmp = 0;
} else if (left == null) {
cmp = -1;
} else {
cmp = comparator.compare(String.valueOf(left), String.valueOf(right));
}
if (cmp == 0) {
continue;
}
return cmp;
}
if (lhs.length == rhs.length) {
return 0;
} else if (lhs.length < rhs.length) {
return -1;
}
return 1;
}
};
}
@Override
public void reset()
{
dictionary.clear();
reverseDictionary.clear();
estimatedFootprint = 0;
}
@VisibleForTesting
void writeToKeyBuffer(int keyBufferPosition, int groupingKey, ByteBuffer keyBuffer)
{
keyBuffer.putInt(keyBufferPosition, groupingKey);
}
}