blob: b036ba64c95c5fcd076e9a57526d34709abb5e4c [file] [log] [blame]
/*
* 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.topn;
import org.apache.druid.query.ColumnSelectorPlus;
import org.apache.druid.query.aggregation.Aggregator;
import org.apache.druid.segment.Cursor;
import org.apache.druid.segment.DimensionHandlerUtils;
import org.apache.druid.segment.DimensionSelector;
import org.apache.druid.segment.StorageAdapter;
import org.apache.druid.segment.column.ValueType;
import java.util.HashMap;
import java.util.Map;
import java.util.function.Function;
public class TimeExtractionTopNAlgorithm extends BaseTopNAlgorithm<int[], Map<Comparable<?>, Aggregator[]>, TopNParams>
{
private static final int[] EMPTY_INTS = new int[]{};
private final TopNQuery query;
private final Function<Object, Comparable<?>> dimensionValueConverter;
public TimeExtractionTopNAlgorithm(StorageAdapter storageAdapter, TopNQuery query)
{
super(storageAdapter);
this.query = query;
// This strategy is used for ExtractionFns on the __time column. They always return STRING, so we need to convert
// from STRING to the desired output type.
this.dimensionValueConverter = DimensionHandlerUtils.converterFromTypeToType(
ValueType.STRING,
query.getDimensionSpec().getOutputType()
);
}
@Override
@SuppressWarnings("unchecked")
public TopNParams makeInitParams(ColumnSelectorPlus selectorPlus, Cursor cursor)
{
return new TopNParams(
selectorPlus,
cursor,
Integer.MAX_VALUE
);
}
@Override
protected int[] makeDimValSelector(TopNParams params, int numProcessed, int numToProcess)
{
return EMPTY_INTS;
}
@Override
protected int[] updateDimValSelector(int[] dimValSelector, int numProcessed, int numToProcess)
{
return dimValSelector;
}
@Override
protected Map<Comparable<?>, Aggregator[]> makeDimValAggregateStore(TopNParams params)
{
return new HashMap<>();
}
@Override
protected long scanAndAggregate(
TopNParams params,
int[] dimValSelector,
Map<Comparable<?>, Aggregator[]> aggregatesStore
)
{
final Cursor cursor = params.getCursor();
final DimensionSelector dimSelector = params.getDimSelector();
long processedRows = 0;
while (!cursor.isDone()) {
final Comparable<?> key = dimensionValueConverter.apply(dimSelector.lookupName(dimSelector.getRow().get(0)));
Aggregator[] theAggregators = aggregatesStore.computeIfAbsent(
key,
k -> makeAggregators(cursor, query.getAggregatorSpecs())
);
for (Aggregator aggregator : theAggregators) {
aggregator.aggregate();
}
cursor.advance();
processedRows++;
}
return processedRows;
}
@Override
protected void updateResults(
TopNParams params,
int[] dimValSelector,
Map<Comparable<?>, Aggregator[]> aggregatesStore,
TopNResultBuilder resultBuilder
)
{
for (Map.Entry<Comparable<?>, Aggregator[]> entry : aggregatesStore.entrySet()) {
Aggregator[] aggs = entry.getValue();
if (aggs != null) {
Object[] vals = new Object[aggs.length];
for (int i = 0; i < aggs.length; i++) {
vals[i] = aggs[i].get();
}
resultBuilder.addEntry(
entry.getKey(),
entry.getKey(),
vals
);
}
}
}
@Override
protected void closeAggregators(Map<Comparable<?>, Aggregator[]> stringMap)
{
for (Aggregator[] aggregators : stringMap.values()) {
for (Aggregator agg : aggregators) {
agg.close();
}
}
}
@Override
public void cleanup(TopNParams params)
{
}
}