mirror of https://github.com/apache/druid.git
Optimisations for LexicographicTopNs
initial review for perf optimizations for lexicographic TopNs fix compilation create map with proper size review comment review comment review comments
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@ -64,14 +64,14 @@ public class DimValHolder
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public static class Builder
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{
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private Object topNMetricVal;
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private String dirName;
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private String dimName;
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private Object dimValIndex;
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private Map<String, Object> metricValues;
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public Builder()
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{
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topNMetricVal = null;
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dirName = null;
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dimName = null;
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dimValIndex = null;
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metricValues = null;
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}
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@ -82,9 +82,9 @@ public class DimValHolder
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return this;
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}
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public Builder withDirName(String dirName)
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public Builder withDimName(String dimName)
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{
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this.dirName = dirName;
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this.dimName = dimName;
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return this;
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}
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@ -102,7 +102,7 @@ public class DimValHolder
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public DimValHolder build()
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{
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return new DimValHolder(topNMetricVal, dirName, dimValIndex, metricValues);
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return new DimValHolder(topNMetricVal, dimName, dimValIndex, metricValues);
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}
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}
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}
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@ -41,6 +41,10 @@ public class LexicographicTopNMetricSpec implements TopNMetricSpec
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@Override
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public int compare(String s, String s2)
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{
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// Avoid conversion to bytes for equal references
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if(s == s2){
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return 0;
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}
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// null first
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if (s == null) {
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return -1;
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@ -48,6 +52,7 @@ public class LexicographicTopNMetricSpec implements TopNMetricSpec
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if (s2 == null) {
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return 1;
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}
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return UnsignedBytes.lexicographicalComparator().compare(
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StringUtils.toUtf8(s),
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StringUtils.toUtf8(s2)
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@ -17,14 +17,16 @@
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package io.druid.query.topn;
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import com.google.common.base.Function;
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import com.google.common.collect.Lists;
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import com.google.common.collect.Maps;
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import com.google.common.collect.MinMaxPriorityQueue;
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import io.druid.query.Result;
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import io.druid.query.aggregation.AggregatorFactory;
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import io.druid.query.dimension.DimensionSpec;
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import java.util.Arrays;
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import java.util.PriorityQueue;
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import org.joda.time.DateTime;
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import java.util.ArrayList;
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import java.util.Comparator;
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import java.util.Iterator;
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import java.util.List;
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@ -34,12 +36,15 @@ import java.util.Map;
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*/
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public class TopNLexicographicResultBuilder implements TopNResultBuilder
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{
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private static final int LOOP_UNROLL_COUNT = 8;
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private final DateTime timestamp;
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private final DimensionSpec dimSpec;
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private final String previousStop;
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private final Comparator comparator;
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private final List<AggregatorFactory> aggFactories;
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private MinMaxPriorityQueue<DimValHolder> pQueue = null;
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private final String[] aggFactoryNames;
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private final PriorityQueue<DimValHolder> pQueue;
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private final int threshold;
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public TopNLexicographicResultBuilder(
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DateTime timestamp,
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@ -54,9 +59,22 @@ public class TopNLexicographicResultBuilder implements TopNResultBuilder
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this.dimSpec = dimSpec;
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this.previousStop = previousStop;
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this.comparator = comparator;
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this.aggFactories = aggFactories;
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instantiatePQueue(threshold, comparator);
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this.aggFactoryNames = TopNQueryQueryToolChest.extractFactoryName(aggFactories);
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this.threshold = threshold;
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this.pQueue = new PriorityQueue<>(
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threshold + 1,
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new Comparator<DimValHolder>()
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{
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@Override
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public int compare(
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DimValHolder o1,
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DimValHolder o2
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)
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{
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return comparator.compare(o2.getDimName(), o1.getDimName());
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}
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}
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);
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}
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@Override
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@ -66,16 +84,42 @@ public class TopNLexicographicResultBuilder implements TopNResultBuilder
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Object[] metricVals
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)
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{
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Map<String, Object> metricValues = Maps.newLinkedHashMap();
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final Map<String, Object> metricValues = Maps.newHashMapWithExpectedSize(metricVals.length + 1);
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if (comparator.compare(dimName, previousStop) > 0) {
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if (shouldAdd(dimName)) {
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metricValues.put(dimSpec.getOutputName(), dimName);
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Iterator<AggregatorFactory> aggsIter = aggFactories.iterator();
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for (Object metricVal : metricVals) {
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metricValues.put(aggsIter.next().getName(), metricVal);
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final int extra = metricVals.length % LOOP_UNROLL_COUNT;
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switch (extra) {
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case 7:
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metricValues.put(aggFactoryNames[6], metricVals[6]);
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case 6:
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metricValues.put(aggFactoryNames[5], metricVals[5]);
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case 5:
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metricValues.put(aggFactoryNames[4], metricVals[4]);
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case 4:
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metricValues.put(aggFactoryNames[3], metricVals[3]);
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case 3:
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metricValues.put(aggFactoryNames[2], metricVals[2]);
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case 2:
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metricValues.put(aggFactoryNames[1], metricVals[1]);
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case 1:
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metricValues.put(aggFactoryNames[0], metricVals[0]);
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}
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for (int i = extra; i < metricVals.length; i += LOOP_UNROLL_COUNT) {
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metricValues.put(aggFactoryNames[i + 0], metricVals[i + 0]);
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metricValues.put(aggFactoryNames[i + 1], metricVals[i + 1]);
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metricValues.put(aggFactoryNames[i + 2], metricVals[i + 2]);
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metricValues.put(aggFactoryNames[i + 3], metricVals[i + 3]);
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metricValues.put(aggFactoryNames[i + 4], metricVals[i + 4]);
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metricValues.put(aggFactoryNames[i + 5], metricVals[i + 5]);
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metricValues.put(aggFactoryNames[i + 6], metricVals[i + 6]);
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metricValues.put(aggFactoryNames[i + 7], metricVals[i + 7]);
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}
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pQueue.add(new DimValHolder.Builder().withDirName(dimName).withMetricValues(metricValues).build());
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pQueue.add(new DimValHolder.Builder().withDimName(dimName).withMetricValues(metricValues).build());
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if (pQueue.size() > threshold) {
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pQueue.poll();
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}
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}
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return this;
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@ -84,12 +128,18 @@ public class TopNLexicographicResultBuilder implements TopNResultBuilder
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@Override
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public TopNResultBuilder addEntry(DimensionAndMetricValueExtractor dimensionAndMetricValueExtractor)
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{
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pQueue.add(
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new DimValHolder.Builder().withDirName(dimensionAndMetricValueExtractor.getStringDimensionValue(dimSpec.getOutputName()))
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.withMetricValues(dimensionAndMetricValueExtractor.getBaseObject())
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.build()
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);
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String dimensionValue = dimensionAndMetricValueExtractor.getStringDimensionValue(dimSpec.getOutputName());
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if (shouldAdd(dimensionValue)) {
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pQueue.add(
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new DimValHolder.Builder().withDimName(dimensionValue)
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.withMetricValues(dimensionAndMetricValueExtractor.getBaseObject())
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.build()
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);
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if (pQueue.size() > threshold) {
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pQueue.poll();
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}
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}
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return this;
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}
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@ -103,28 +153,43 @@ public class TopNLexicographicResultBuilder implements TopNResultBuilder
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public Result<TopNResultValue> build()
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{
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// Pull out top aggregated values
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List<Map<String, Object>> values = new ArrayList<Map<String, Object>>(pQueue.size());
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while (!pQueue.isEmpty()) {
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values.add(pQueue.remove().getMetricValues());
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}
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return new Result<TopNResultValue>(timestamp, new TopNResultValue(values));
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}
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private void instantiatePQueue(int threshold, final Comparator comparator)
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{
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this.pQueue = MinMaxPriorityQueue.orderedBy(
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final DimValHolder[] holderValueArray = pQueue.toArray(new DimValHolder[0]);
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Arrays.sort(
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holderValueArray,
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new Comparator<DimValHolder>()
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{
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@Override
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public int compare(
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DimValHolder o1,
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DimValHolder o2
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)
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public int compare(DimValHolder o1, DimValHolder o2)
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{
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return comparator.compare(o1.getDimName(), o2.getDimName());
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}
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}
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).maximumSize(threshold).create();
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);
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return new Result(
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timestamp, new TopNResultValue(
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Lists.transform(
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Arrays.asList(holderValueArray),
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new Function<DimValHolder, Object>()
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{
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@Override
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public Object apply(DimValHolder dimValHolder)
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{
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return dimValHolder.getMetricValues();
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}
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}
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)
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)
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);
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}
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private boolean shouldAdd(String dimName)
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{
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final boolean belowThreshold = pQueue.size() < threshold;
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final boolean belowMax = belowThreshold
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|| comparator.compare(pQueue.peek().getTopNMetricVal(), dimName) < 0;
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// Only add if dimName is after previousStop
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return belowMax && (previousStop == null || comparator.compare(dimName, previousStop) > 0);
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}
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}
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@ -41,7 +41,6 @@ import java.util.PriorityQueue;
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*/
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public class TopNNumericResultBuilder implements TopNResultBuilder
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{
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private final DateTime timestamp;
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private final DimensionSpec dimSpec;
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private final String metricName;
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@ -166,7 +165,7 @@ public class TopNNumericResultBuilder implements TopNResultBuilder
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if (shouldAdd(topNMetricVal)) {
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DimValHolder dimValHolder = new DimValHolder.Builder()
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.withTopNMetricVal(topNMetricVal)
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.withDirName(dimName)
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.withDimName(dimName)
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.withDimValIndex(dimValIndex)
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.withMetricValues(metricValues)
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.build();
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@ -195,7 +194,7 @@ public class TopNNumericResultBuilder implements TopNResultBuilder
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if (shouldAdd(dimValue)) {
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final DimValHolder valHolder = new DimValHolder.Builder()
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.withTopNMetricVal(dimValue)
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.withDirName(dimensionAndMetricValueExtractor.getStringDimensionValue(dimSpec.getOutputName()))
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.withDimName(dimensionAndMetricValueExtractor.getStringDimensionValue(dimSpec.getOutputName()))
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.withMetricValues(dimensionAndMetricValueExtractor.getBaseObject())
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.build();
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pQueue.add(valHolder);
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