Merge branch 'master' into feature/query-refactoring

core/licenses/HdrHistogram-2.1.5.jar.sha1

@@ -0,0 +1 @@
+d1831874fb3c769fd126c4826e69e6b40c703ee0

core/licenses/HdrHistogram-LICENSE.txt

@@ -0,0 +1,41 @@
+The code in this repository code was Written by Gil Tene, Michael Barker,
+and Matt Warren, and released to the public domain, as explained at
+http://creativecommons.org/publicdomain/zero/1.0/
+
+For users of this code who wish to consume it under the "BSD" license
+rather than under the public domain or CC0 contribution text mentioned
+above, the code found under this directory is *also* provided under the
+following license (commonly referred to as the BSD 2-Clause License). This
+license does not detract from the above stated release of the code into
+the public domain, and simply represents an additional license granted by
+the Author.
+
+-----------------------------------------------------------------------------
+** Beginning of "BSD 2-Clause License" text. **
+
+ Copyright (c) 2012, 2013, 2014 Gil Tene
+ Copyright (c) 2014 Michael Barker
+ Copyright (c) 2014 Matt Warren
+ All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions are met:
+
+ 1. Redistributions of source code must retain the above copyright notice,
+    this list of conditions and the following disclaimer.
+
+ 2. Redistributions in binary form must reproduce the above copyright notice,
+    this list of conditions and the following disclaimer in the documentation
+    and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
+ LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
+ THE POSSIBILITY OF SUCH DAMAGE.

core/pom.xml

@@ -178,6 +178,10 @@
             <groupId>com.tdunning</groupId>
             <artifactId>t-digest</artifactId>
         </dependency>
+        <dependency>
+            <groupId>org.hdrhistogram</groupId>
+            <artifactId>HdrHistogram</artifactId>
+        </dependency>
         <dependency>
             <groupId>org.apache.commons</groupId>
             <artifactId>commons-lang3</artifactId>

core/src/main/assemblies/common-bin.xml

@@ -26,6 +26,7 @@
                 <include>org.apache.commons:commons-lang3</include>
                 <include>commons-cli:commons-cli</include>
                 <include>com.twitter:jsr166e</include>
+                <include>org.hdrhistogram:HdrHistogram</include>
             </includes>
         </dependencySet>
         <dependencySet>

core/src/main/java/org/elasticsearch/search/aggregations/TransportAggregationModule.java

@@ -51,8 +51,10 @@ import org.elasticsearch.search.aggregations.metrics.cardinality.InternalCardina
 import org.elasticsearch.search.aggregations.metrics.geobounds.InternalGeoBounds;
 import org.elasticsearch.search.aggregations.metrics.max.InternalMax;
 import org.elasticsearch.search.aggregations.metrics.min.InternalMin;
-import org.elasticsearch.search.aggregations.metrics.percentiles.InternalPercentileRanks;
-import org.elasticsearch.search.aggregations.metrics.percentiles.InternalPercentiles;
+import org.elasticsearch.search.aggregations.metrics.percentiles.hdr.InternalHDRPercentileRanks;
+import org.elasticsearch.search.aggregations.metrics.percentiles.hdr.InternalHDRPercentiles;
+import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.InternalTDigestPercentileRanks;
+import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.InternalTDigestPercentiles;
 import org.elasticsearch.search.aggregations.metrics.scripted.InternalScriptedMetric;
 import org.elasticsearch.search.aggregations.metrics.stats.InternalStats;
 import org.elasticsearch.search.aggregations.metrics.stats.extended.InternalExtendedStats;
@@ -65,8 +67,8 @@ import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.avg.AvgBucke
 import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.max.MaxBucketPipelineAggregator;
 import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.min.MinBucketPipelineAggregator;
 import org.elasticsearch.search.aggregations.pipeline.bucketmetrics.sum.SumBucketPipelineAggregator;
-import org.elasticsearch.search.aggregations.pipeline.cumulativesum.CumulativeSumPipelineAggregator;
 import org.elasticsearch.search.aggregations.pipeline.bucketscript.BucketScriptPipelineAggregator;
+import org.elasticsearch.search.aggregations.pipeline.cumulativesum.CumulativeSumPipelineAggregator;
 import org.elasticsearch.search.aggregations.pipeline.derivative.DerivativePipelineAggregator;
 import org.elasticsearch.search.aggregations.pipeline.derivative.InternalDerivative;
 import org.elasticsearch.search.aggregations.pipeline.having.BucketSelectorPipelineAggregator;
@@ -90,8 +92,10 @@ public class TransportAggregationModule extends AbstractModule implements SpawnM
         InternalStats.registerStreams();
         InternalExtendedStats.registerStreams();
         InternalValueCount.registerStreams();
-        InternalPercentiles.registerStreams();
-        InternalPercentileRanks.registerStreams();
+        InternalTDigestPercentiles.registerStreams();
+        InternalTDigestPercentileRanks.registerStreams();
+        InternalHDRPercentiles.registerStreams();
+        InternalHDRPercentileRanks.registerStreams();
         InternalCardinality.registerStreams();
         InternalScriptedMetric.registerStreams();
 

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/AbstractPercentilesBuilder.java

@@ -0,0 +1,87 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics.percentiles;
+
+import org.elasticsearch.common.xcontent.XContentBuilder;
+import org.elasticsearch.search.aggregations.metrics.ValuesSourceMetricsAggregationBuilder;
+
+import java.io.IOException;
+
+abstract class AbstractPercentilesBuilder<PB extends AbstractPercentilesBuilder<PB>> extends
+        ValuesSourceMetricsAggregationBuilder<PB> {
+
+    private Double compression;
+    private PercentilesMethod method;
+    private Integer numberOfSignificantValueDigits;
+
+    public AbstractPercentilesBuilder(String name, String type) {
+        super(name, type);
+    }
+
+    /**
+     * Expert: Set the method to use to compute the percentiles.
+     */
+    public PB method(PercentilesMethod method) {
+        this.method = method;
+        return (PB) this;
+    }
+
+    /**
+     * Expert: set the compression. Higher values improve accuracy but also
+     * memory usage. Only relevant when using {@link PercentilesMethod#TDIGEST}.
+     */
+    public PB compression(double compression) {
+        this.compression = compression;
+        return (PB) this;
+    }
+
+    /**
+     * Expert: set the number of significant digits in the values. Only relevant
+     * when using {@link PercentilesMethod#HDR}.
+     */
+    public PB numberOfSignificantValueDigits(int numberOfSignificantValueDigits) {
+        this.numberOfSignificantValueDigits = numberOfSignificantValueDigits;
+        return (PB) this;
+    }
+
+    @Override
+    protected void internalXContent(XContentBuilder builder, Params params) throws IOException {
+        super.internalXContent(builder, params);
+
+        doInternalXContent(builder, params);
+
+        if (method != null) {
+            builder.startObject(method.getName());
+
+            if (compression != null) {
+                builder.field(AbstractPercentilesParser.COMPRESSION_FIELD.getPreferredName(), compression);
+            }
+
+            if (numberOfSignificantValueDigits != null) {
+                builder.field(AbstractPercentilesParser.NUMBER_SIGNIFICANT_DIGITS_FIELD.getPreferredName(), numberOfSignificantValueDigits);
+            }
+
+            builder.endObject();
+        }
+    }
+
+    protected abstract void doInternalXContent(XContentBuilder builder, Params params) throws IOException;
+
+}

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/AbstractPercentilesParser.java

@@ -21,10 +21,12 @@ package org.elasticsearch.search.aggregations.metrics.percentiles;
 
 import com.carrotsearch.hppc.DoubleArrayList;
 
+import org.elasticsearch.common.ParseField;
 import org.elasticsearch.common.xcontent.XContentParser;
 import org.elasticsearch.search.SearchParseException;
 import org.elasticsearch.search.aggregations.Aggregator;
 import org.elasticsearch.search.aggregations.AggregatorFactory;
+import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.InternalTDigestPercentiles;
 import org.elasticsearch.search.aggregations.support.ValuesSource;
 import org.elasticsearch.search.aggregations.support.ValuesSource.Numeric;
 import org.elasticsearch.search.aggregations.support.ValuesSourceConfig;
@@ -36,6 +38,11 @@ import java.util.Arrays;
 
 public abstract class AbstractPercentilesParser implements Aggregator.Parser {
 
+    public static final ParseField KEYED_FIELD = new ParseField("keyed");
+    public static final ParseField METHOD_FIELD = new ParseField("method");
+    public static final ParseField COMPRESSION_FIELD = new ParseField("compression");
+    public static final ParseField NUMBER_SIGNIFICANT_DIGITS_FIELD = new ParseField("number_of_significant_value_digits");
+
     private boolean formattable;
 
     public AbstractPercentilesParser(boolean formattable) {
@@ -44,14 +51,16 @@ public abstract class AbstractPercentilesParser implements Aggregator.Parser {
 
     @Override
     public AggregatorFactory parse(String aggregationName, XContentParser parser, SearchContext context) throws IOException {
-    
-        ValuesSourceParser<ValuesSource.Numeric> vsParser = ValuesSourceParser.numeric(aggregationName, InternalPercentiles.TYPE, context)
+
+        ValuesSourceParser<ValuesSource.Numeric> vsParser = ValuesSourceParser.numeric(aggregationName, InternalTDigestPercentiles.TYPE, context)
                 .formattable(formattable).build();
-    
+
         double[] keys = null;
         boolean keyed = true;
-        double compression = 100;
-    
+        Double compression = null;
+        Integer numberOfSignificantValueDigits = null;
+        PercentilesMethod method = null;
+
         XContentParser.Token token;
         String currentFieldName = null;
         while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
@@ -60,7 +69,7 @@ public abstract class AbstractPercentilesParser implements Aggregator.Parser {
             } else if (vsParser.token(currentFieldName, token, parser)) {
                 continue;
             } else if (token == XContentParser.Token.START_ARRAY) {
-                if (keysFieldName().equals(currentFieldName)) {
+                if (context.parseFieldMatcher().match(currentFieldName, keysField())) {
                     DoubleArrayList values = new DoubleArrayList(10);
                     while ((token = parser.nextToken()) != XContentParser.Token.END_ARRAY) {
                         double value = parser.doubleValue();
@@ -73,30 +82,104 @@ public abstract class AbstractPercentilesParser implements Aggregator.Parser {
                             + currentFieldName + "].", parser.getTokenLocation());
                 }
             } else if (token == XContentParser.Token.VALUE_BOOLEAN) {
-                if ("keyed".equals(currentFieldName)) {
+                if (context.parseFieldMatcher().match(currentFieldName, KEYED_FIELD)) {
                     keyed = parser.booleanValue();
                 } else {
                     throw new SearchParseException(context, "Unknown key for a " + token + " in [" + aggregationName + "]: ["
                             + currentFieldName + "].", parser.getTokenLocation());
                 }
-            } else if (token == XContentParser.Token.VALUE_NUMBER) {
-                if ("compression".equals(currentFieldName)) {
-                    compression = parser.doubleValue();
+            } else if (token == XContentParser.Token.START_OBJECT) {
+                if (method != null) {
+                    throw new SearchParseException(context, "Found multiple methods in [" + aggregationName + "]: [" + currentFieldName
+                            + "]. only one of [" + PercentilesMethod.TDIGEST.getName() + "] and [" + PercentilesMethod.HDR.getName()
+                            + "] may be used.", parser.getTokenLocation());
+                }
+                method = PercentilesMethod.resolveFromName(currentFieldName);
+                if (method == null) {
+                    throw new SearchParseException(context, "Unexpected token " + token + " in [" + aggregationName + "].",
+                            parser.getTokenLocation());
                 } else {
-                    throw new SearchParseException(context, "Unknown key for a " + token + " in [" + aggregationName + "]: ["
-                            + currentFieldName + "].", parser.getTokenLocation());
+                    switch (method) {
+                    case TDIGEST:
+                        while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
+                            if (token == XContentParser.Token.FIELD_NAME) {
+                                currentFieldName = parser.currentName();
+                            } else if (token == XContentParser.Token.VALUE_NUMBER) {
+                                if (context.parseFieldMatcher().match(currentFieldName, COMPRESSION_FIELD)) {
+                                    compression = parser.doubleValue();
+                                } else {
+                                    throw new SearchParseException(context, "Unknown key for a " + token + " in [" + aggregationName
+                                            + "]: [" + currentFieldName + "].", parser.getTokenLocation());
+                                }
+                            } else {
+                                throw new SearchParseException(context, "Unknown key for a " + token + " in [" + aggregationName + "]: ["
+                                        + currentFieldName + "].", parser.getTokenLocation());
+                            }
+                        }
+                        break;
+                    case HDR:
+                        while ((token = parser.nextToken()) != XContentParser.Token.END_OBJECT) {
+                            if (token == XContentParser.Token.FIELD_NAME) {
+                                currentFieldName = parser.currentName();
+                            } else if (token == XContentParser.Token.VALUE_NUMBER) {
+                                if (context.parseFieldMatcher().match(currentFieldName, NUMBER_SIGNIFICANT_DIGITS_FIELD)) {
+                                    numberOfSignificantValueDigits = parser.intValue();
+                                } else {
+                                    throw new SearchParseException(context, "Unknown key for a " + token + " in [" + aggregationName
+                                            + "]: [" + currentFieldName + "].", parser.getTokenLocation());
+                                }
+                            } else {
+                                throw new SearchParseException(context, "Unknown key for a " + token + " in [" + aggregationName + "]: ["
+                                        + currentFieldName + "].", parser.getTokenLocation());
+                            }
+                        }
+                        break;
+                    }
                 }
             } else {
                 throw new SearchParseException(context, "Unexpected token " + token + " in [" + aggregationName + "].",
                         parser.getTokenLocation());
             }
         }
-        return buildFactory(context, aggregationName, vsParser.config(), keys, compression, keyed);
+
+        if (method == null) {
+            method = PercentilesMethod.TDIGEST;
+        }
+
+        switch (method) {
+        case TDIGEST:
+            if (numberOfSignificantValueDigits != null) {
+                throw new SearchParseException(context, "[number_of_significant_value_digits] cannot be used with method [tdigest] in ["
+                        + aggregationName + "].", parser.getTokenLocation());
+            }
+            if (compression == null) {
+                compression = 100.0;
+            }
+            break;
+        case HDR:
+            if (compression != null) {
+                throw new SearchParseException(context, "[compression] cannot be used with method [hdr] in [" + aggregationName + "].",
+                        parser.getTokenLocation());
+            }
+            if (numberOfSignificantValueDigits == null) {
+                numberOfSignificantValueDigits = 3;
+            }
+            break;
+
+        default:
+            // Shouldn't get here but if we do, throw a parse exception for
+            // invalid method
+            throw new SearchParseException(context, "Unknown value for [" + currentFieldName + "] in [" + aggregationName + "]: [" + method
+                    + "].", parser.getTokenLocation());
+        }
+
+        return buildFactory(context, aggregationName, vsParser.config(), keys, method, compression,
+                numberOfSignificantValueDigits, keyed);
     }
 
-    protected abstract AggregatorFactory buildFactory(SearchContext context, String aggregationName, ValuesSourceConfig<Numeric> config, double[] cdfValues,
-            double compression, boolean keyed);
+    protected abstract AggregatorFactory buildFactory(SearchContext context, String aggregationName, ValuesSourceConfig<Numeric> config,
+            double[] cdfValues, PercentilesMethod method, Double compression, Integer numberOfSignificantValueDigits, boolean keyed);
 
-    protected abstract String keysFieldName();
+    protected abstract ParseField keysField();
 
 }

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/InternalPercentile.java

@@ -19,12 +19,12 @@
 
 package org.elasticsearch.search.aggregations.metrics.percentiles;
 
-class InternalPercentile implements Percentile {
+public class InternalPercentile implements Percentile {
 
     private final double percent;
     private final double value;
 
-    InternalPercentile(double percent, double value) {
+    public InternalPercentile(double percent, double value) {
         this.percent = percent;
         this.value = value;
     }

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/PercentileRanks.java

@@ -26,6 +26,8 @@ import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation;
  */
 public interface PercentileRanks extends NumericMetricsAggregation.MultiValue, Iterable<Percentile> {
 
+    public static final String TYPE_NAME = "percentile_ranks";
+
     /**
      * Return the percentile for the given value.
      */

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/PercentileRanksBuilder.java

@@ -19,23 +19,21 @@
 package org.elasticsearch.search.aggregations.metrics.percentiles;
 
 import org.elasticsearch.common.xcontent.XContentBuilder;
-import org.elasticsearch.search.aggregations.metrics.ValuesSourceMetricsAggregationBuilder;
 
 import java.io.IOException;
 
 /**
  * Builder for the {@link PercentileRanks} aggregation.
  */
-public class PercentileRanksBuilder extends ValuesSourceMetricsAggregationBuilder<PercentileRanksBuilder> {
+public class PercentileRanksBuilder extends AbstractPercentilesBuilder<PercentileRanksBuilder> {
 
     private double[] values;
-    private Double compression;
 
     /**
      * Sole constructor.
      */
     public PercentileRanksBuilder(String name) {
-        super(name, InternalPercentileRanks.TYPE.name());
+        super(name, PercentileRanks.TYPE_NAME);
     }
 
     /**
@@ -46,24 +44,11 @@ public class PercentileRanksBuilder extends ValuesSourceMetricsAggregationBuilde
         return this;
     }
 
-    /**
-     * Expert: set the compression. Higher values improve accuracy but also memory usage.
-     */
-    public PercentileRanksBuilder compression(double compression) {
-        this.compression = compression;
-        return this;
-    }
-
     @Override
-    protected void internalXContent(XContentBuilder builder, Params params) throws IOException {
-        super.internalXContent(builder, params);
+    protected void doInternalXContent(XContentBuilder builder, Params params) throws IOException {
 
         if (values != null) {
-            builder.field("values", values);
-        }
-
-        if (compression != null) {
-            builder.field("compression", compression);
+            builder.field(PercentileRanksParser.VALUES_FIELD.getPreferredName(), values);
         }
     }
 }

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/PercentileRanksParser.java

@@ -18,8 +18,12 @@
  */
 package org.elasticsearch.search.aggregations.metrics.percentiles;
 
+import org.elasticsearch.common.ParseField;
 import org.elasticsearch.search.SearchParseException;
 import org.elasticsearch.search.aggregations.AggregatorFactory;
+import org.elasticsearch.search.aggregations.metrics.percentiles.hdr.HDRPercentileRanksAggregator;
+import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.InternalTDigestPercentileRanks;
+import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.TDigestPercentileRanksAggregator;
 import org.elasticsearch.search.aggregations.support.ValuesSource.Numeric;
 import org.elasticsearch.search.aggregations.support.ValuesSourceConfig;
 import org.elasticsearch.search.internal.SearchContext;
@@ -29,26 +33,36 @@ import org.elasticsearch.search.internal.SearchContext;
  */
 public class PercentileRanksParser extends AbstractPercentilesParser {
 
+    public static final ParseField VALUES_FIELD = new ParseField("values");
+
     public PercentileRanksParser() {
         super(false);
     }
 
     @Override
     public String type() {
-        return InternalPercentileRanks.TYPE.name();
+        return InternalTDigestPercentileRanks.TYPE.name();
     }
 
     @Override
-    protected String keysFieldName() {
-        return "values";
+    protected ParseField keysField() {
+        return VALUES_FIELD;
     }
-    
+
     @Override
-    protected AggregatorFactory buildFactory(SearchContext context, String aggregationName, ValuesSourceConfig<Numeric> valuesSourceConfig, double[] keys, double compression, boolean keyed) {
+    protected AggregatorFactory buildFactory(SearchContext context, String aggregationName, ValuesSourceConfig<Numeric> valuesSourceConfig,
+            double[] keys, PercentilesMethod method, Double compression, Integer numberOfSignificantValueDigits, boolean keyed) {
         if (keys == null) {
             throw new SearchParseException(context, "Missing token values in [" + aggregationName + "].", null);
         }
-        return new PercentileRanksAggregator.Factory(aggregationName, valuesSourceConfig, keys, compression, keyed);
+        if (method == PercentilesMethod.TDIGEST) {
+            return new TDigestPercentileRanksAggregator.Factory(aggregationName, valuesSourceConfig, keys, compression, keyed);
+        } else if (method == PercentilesMethod.HDR) {
+            return new HDRPercentileRanksAggregator.Factory(aggregationName, valuesSourceConfig, keys, numberOfSignificantValueDigits,
+                    keyed);
+        } else {
+            throw new AssertionError();
+        }
     }
 
 }

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/Percentiles.java

@@ -25,6 +25,8 @@ import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregation;
  */
 public interface Percentiles extends NumericMetricsAggregation.MultiValue, Iterable<Percentile> {
 
+    public static final String TYPE_NAME = "percentiles";
+
     /**
      * Return the value associated with the provided percentile.
      */

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/PercentilesBuilder.java

@@ -19,23 +19,21 @@
 package org.elasticsearch.search.aggregations.metrics.percentiles;
 
 import org.elasticsearch.common.xcontent.XContentBuilder;
-import org.elasticsearch.search.aggregations.metrics.ValuesSourceMetricsAggregationBuilder;
 
 import java.io.IOException;
 
+
 /**
  * Builder for the {@link Percentiles} aggregation.
  */
-public class PercentilesBuilder extends ValuesSourceMetricsAggregationBuilder<PercentilesBuilder> {
-
-    private double[] percentiles;
-    private Double compression;
+public class PercentilesBuilder extends AbstractPercentilesBuilder<PercentilesBuilder> {
 
+    double[] percentiles;
     /**
      * Sole constructor.
      */
     public PercentilesBuilder(String name) {
-        super(name, InternalPercentiles.TYPE.name());
+        super(name, Percentiles.TYPE_NAME);
     }
 
     /**
@@ -52,24 +50,11 @@ public class PercentilesBuilder extends ValuesSourceMetricsAggregationBuilder<Pe
         return this;
     }
 
-    /**
-     * Expert: set the compression. Higher values improve accuracy but also memory usage.
-     */
-    public PercentilesBuilder compression(double compression) {
-        this.compression = compression;
-        return this;
-    }
-
     @Override
-    protected void internalXContent(XContentBuilder builder, Params params) throws IOException {
-        super.internalXContent(builder, params);
-
+    protected void doInternalXContent(XContentBuilder builder, Params params) throws IOException {
         if (percentiles != null) {
-            builder.field("percents", percentiles);
-        }
-
-        if (compression != null) {
-            builder.field("compression", compression);
+            builder.field(PercentilesParser.PERCENTS_FIELD.getPreferredName(), percentiles);
         }
     }
+
 }

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/PercentilesMethod.java

@@ -0,0 +1,61 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics.percentiles;
+
+
+/**
+ * An enum representing the methods for calculating percentiles
+ */
+public enum PercentilesMethod {
+    /**
+     * The TDigest method for calculating percentiles
+     */
+    TDIGEST("tdigest"),
+    /**
+     * The HDRHistogram method of calculating percentiles
+     */
+    HDR("hdr");
+
+    private String name;
+
+    private PercentilesMethod(String name) {
+        this.name = name;
+    }
+
+    /**
+     * @return the name of the method
+     */
+    public String getName() {
+        return name;
+    }
+
+    /**
+     * Returns the {@link PercentilesMethod} for this method name. returns
+     * <code>null</code> if no {@link PercentilesMethod} exists for the name.
+     */
+    public static PercentilesMethod resolveFromName(String name) {
+        for (PercentilesMethod method : values()) {
+            if (method.name.equalsIgnoreCase(name)) {
+                return method;
+            }
+        }
+        return null;
+    }
+}

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/PercentilesParser.java

@@ -18,7 +18,11 @@
  */
 package org.elasticsearch.search.aggregations.metrics.percentiles;
 
+import org.elasticsearch.common.ParseField;
 import org.elasticsearch.search.aggregations.AggregatorFactory;
+import org.elasticsearch.search.aggregations.metrics.percentiles.hdr.HDRPercentilesAggregator;
+import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.InternalTDigestPercentiles;
+import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.TDigestPercentilesAggregator;
 import org.elasticsearch.search.aggregations.support.ValuesSource.Numeric;
 import org.elasticsearch.search.aggregations.support.ValuesSourceConfig;
 import org.elasticsearch.search.internal.SearchContext;
@@ -28,6 +32,8 @@ import org.elasticsearch.search.internal.SearchContext;
  */
 public class PercentilesParser extends AbstractPercentilesParser {
 
+    public static final ParseField PERCENTS_FIELD = new ParseField("percents");
+
     public PercentilesParser() {
         super(true);
     }
@@ -36,20 +42,27 @@ public class PercentilesParser extends AbstractPercentilesParser {
 
     @Override
     public String type() {
-        return InternalPercentiles.TYPE.name();
+        return InternalTDigestPercentiles.TYPE.name();
     }
 
     @Override
-    protected String keysFieldName() {
-        return "percents";
+    protected ParseField keysField() {
+        return PERCENTS_FIELD;
     }
-    
+
     @Override
-    protected AggregatorFactory buildFactory(SearchContext context, String aggregationName, ValuesSourceConfig<Numeric> valuesSourceConfig, double[] keys, double compression, boolean keyed) {
+    protected AggregatorFactory buildFactory(SearchContext context, String aggregationName, ValuesSourceConfig<Numeric> valuesSourceConfig,
+            double[] keys, PercentilesMethod method, Double compression, Integer numberOfSignificantValueDigits, boolean keyed) {
         if (keys == null) {
             keys = DEFAULT_PERCENTS;
         }
-        return new PercentilesAggregator.Factory(aggregationName, valuesSourceConfig, keys, compression, keyed);
+        if (method == PercentilesMethod.TDIGEST) {
+            return new TDigestPercentilesAggregator.Factory(aggregationName, valuesSourceConfig, keys, compression, keyed);
+        } else if (method == PercentilesMethod.HDR) {
+            return new HDRPercentilesAggregator.Factory(aggregationName, valuesSourceConfig, keys, numberOfSignificantValueDigits, keyed);
+        } else {
+            throw new AssertionError();
+        }
     }
 
 }

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/hdr/AbstractHDRPercentilesAggregator.java

@@ -0,0 +1,125 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics.percentiles.hdr;
+
+import org.HdrHistogram.DoubleHistogram;
+import org.apache.lucene.index.LeafReaderContext;
+import org.elasticsearch.common.lease.Releasables;
+import org.elasticsearch.common.util.ArrayUtils;
+import org.elasticsearch.common.util.BigArrays;
+import org.elasticsearch.common.util.ObjectArray;
+import org.elasticsearch.index.fielddata.SortedNumericDoubleValues;
+import org.elasticsearch.search.aggregations.Aggregator;
+import org.elasticsearch.search.aggregations.LeafBucketCollector;
+import org.elasticsearch.search.aggregations.LeafBucketCollectorBase;
+import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregator;
+import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
+import org.elasticsearch.search.aggregations.support.AggregationContext;
+import org.elasticsearch.search.aggregations.support.ValuesSource;
+import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.Map;
+
+public abstract class AbstractHDRPercentilesAggregator extends NumericMetricsAggregator.MultiValue {
+
+    private static int indexOfKey(double[] keys, double key) {
+        return ArrayUtils.binarySearch(keys, key, 0.001);
+    }
+
+    protected final double[] keys;
+    protected final ValuesSource.Numeric valuesSource;
+    protected final ValueFormatter formatter;
+    protected ObjectArray<DoubleHistogram> states;
+    protected final int numberOfSignificantValueDigits;
+    protected final boolean keyed;
+
+    public AbstractHDRPercentilesAggregator(String name, ValuesSource.Numeric valuesSource, AggregationContext context, Aggregator parent,
+            double[] keys, int numberOfSignificantValueDigits, boolean keyed, ValueFormatter formatter,
+            List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) throws IOException {
+        super(name, context, parent, pipelineAggregators, metaData);
+        this.valuesSource = valuesSource;
+        this.keyed = keyed;
+        this.formatter = formatter;
+        this.states = context.bigArrays().newObjectArray(1);
+        this.keys = keys;
+        this.numberOfSignificantValueDigits = numberOfSignificantValueDigits;
+    }
+
+    @Override
+    public boolean needsScores() {
+        return valuesSource != null && valuesSource.needsScores();
+    }
+
+    @Override
+    public LeafBucketCollector getLeafCollector(LeafReaderContext ctx,
+            final LeafBucketCollector sub) throws IOException {
+        if (valuesSource == null) {
+            return LeafBucketCollector.NO_OP_COLLECTOR;
+        }
+        final BigArrays bigArrays = context.bigArrays();
+        final SortedNumericDoubleValues values = valuesSource.doubleValues(ctx);
+        return new LeafBucketCollectorBase(sub, values) {
+            @Override
+            public void collect(int doc, long bucket) throws IOException {
+                states = bigArrays.grow(states, bucket + 1);
+
+                DoubleHistogram state = states.get(bucket);
+                if (state == null) {
+                    state = new DoubleHistogram(numberOfSignificantValueDigits);
+                    // Set the histogram to autosize so it can resize itself as
+                    // the data range increases. Resize operations should be
+                    // rare as the histogram buckets are exponential (on the top
+                    // level). In the future we could expose the range as an
+                    // option on the request so the histogram can be fixed at
+                    // initialisation and doesn't need resizing.
+                    state.setAutoResize(true);
+                    states.set(bucket, state);
+                }
+
+                values.setDocument(doc);
+                final int valueCount = values.count();
+                for (int i = 0; i < valueCount; i++) {
+                    state.recordValue(values.valueAt(i));
+                }
+            }
+        };
+    }
+
+    @Override
+    public boolean hasMetric(String name) {
+        return indexOfKey(keys, Double.parseDouble(name)) >= 0;
+    }
+
+    protected DoubleHistogram getState(long bucketOrd) {
+        if (bucketOrd >= states.size()) {
+            return null;
+        }
+        final DoubleHistogram state = states.get(bucketOrd);
+        return state;
+    }
+
+    @Override
+    protected void doClose() {
+        Releasables.close(states);
+    }
+
+}

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/hdr/AbstractInternalHDRPercentiles.java

@@ -0,0 +1,144 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics.percentiles.hdr;
+
+import org.HdrHistogram.DoubleHistogram;
+import org.elasticsearch.common.io.stream.StreamInput;
+import org.elasticsearch.common.io.stream.StreamOutput;
+import org.elasticsearch.common.xcontent.XContentBuilder;
+import org.elasticsearch.search.aggregations.InternalAggregation;
+import org.elasticsearch.search.aggregations.metrics.InternalNumericMetricsAggregation;
+import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
+import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
+import org.elasticsearch.search.aggregations.support.format.ValueFormatterStreams;
+
+import java.io.IOException;
+import java.nio.ByteBuffer;
+import java.util.List;
+import java.util.Map;
+import java.util.zip.DataFormatException;
+
+abstract class AbstractInternalHDRPercentiles extends InternalNumericMetricsAggregation.MultiValue {
+
+    protected double[] keys;
+    protected DoubleHistogram state;
+    private boolean keyed;
+
+    AbstractInternalHDRPercentiles() {} // for serialization
+
+    public AbstractInternalHDRPercentiles(String name, double[] keys, DoubleHistogram state, boolean keyed, ValueFormatter formatter,
+            List<PipelineAggregator> pipelineAggregators,
+            Map<String, Object> metaData) {
+        super(name, pipelineAggregators, metaData);
+        this.keys = keys;
+        this.state = state;
+        this.keyed = keyed;
+        this.valueFormatter = formatter;
+    }
+
+    @Override
+    public double value(String name) {
+        return value(Double.parseDouble(name));
+    }
+
+    public abstract double value(double key);
+
+    public long getEstimatedMemoryFootprint() {
+        return state.getEstimatedFootprintInBytes();
+    }
+
+    @Override
+    public AbstractInternalHDRPercentiles doReduce(List<InternalAggregation> aggregations, ReduceContext reduceContext) {
+        DoubleHistogram merged = null;
+        for (InternalAggregation aggregation : aggregations) {
+            final AbstractInternalHDRPercentiles percentiles = (AbstractInternalHDRPercentiles) aggregation;
+            if (merged == null) {
+                merged = new DoubleHistogram(percentiles.state);
+                merged.setAutoResize(true);
+            }
+            merged.add(percentiles.state);
+        }
+        return createReduced(getName(), keys, merged, keyed, pipelineAggregators(), getMetaData());
+    }
+
+    protected abstract AbstractInternalHDRPercentiles createReduced(String name, double[] keys, DoubleHistogram merged, boolean keyed,
+            List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData);
+
+    @Override
+    protected void doReadFrom(StreamInput in) throws IOException {
+        valueFormatter = ValueFormatterStreams.readOptional(in);
+        keys = new double[in.readInt()];
+        for (int i = 0; i < keys.length; ++i) {
+            keys[i] = in.readDouble();
+        }
+        long minBarForHighestToLowestValueRatio = in.readLong();
+        ByteBuffer stateBuffer = ByteBuffer.wrap(in.readByteArray());
+        try {
+            state = DoubleHistogram.decodeFromCompressedByteBuffer(stateBuffer, minBarForHighestToLowestValueRatio);
+        } catch (DataFormatException e) {
+            throw new IOException("Failed to decode DoubleHistogram for aggregation [" + name + "]", e);
+        }
+        keyed = in.readBoolean();
+    }
+
+    @Override
+    protected void doWriteTo(StreamOutput out) throws IOException {
+        ValueFormatterStreams.writeOptional(valueFormatter, out);
+        out.writeInt(keys.length);
+        for (int i = 0 ; i < keys.length; ++i) {
+            out.writeDouble(keys[i]);
+        }
+        out.writeLong(state.getHighestToLowestValueRatio());
+        ByteBuffer stateBuffer = ByteBuffer.allocate(state.getNeededByteBufferCapacity());
+        state.encodeIntoCompressedByteBuffer(stateBuffer);
+        out.writeByteArray(stateBuffer.array());
+        out.writeBoolean(keyed);
+    }
+
+    @Override
+    public XContentBuilder doXContentBody(XContentBuilder builder, Params params) throws IOException {
+        if (keyed) {
+            builder.startObject(CommonFields.VALUES);
+            for(int i = 0; i < keys.length; ++i) {
+                String key = String.valueOf(keys[i]);
+                double value = value(keys[i]);
+                builder.field(key, value);
+                if (!(valueFormatter instanceof ValueFormatter.Raw)) {
+                    builder.field(key + "_as_string", valueFormatter.format(value));
+                }
+            }
+            builder.endObject();
+        } else {
+            builder.startArray(CommonFields.VALUES);
+            for (int i = 0; i < keys.length; i++) {
+                double value = value(keys[i]);
+                builder.startObject();
+                builder.field(CommonFields.KEY, keys[i]);
+                builder.field(CommonFields.VALUE, value);
+                if (!(valueFormatter instanceof ValueFormatter.Raw)) {
+                    builder.field(CommonFields.VALUE_AS_STRING, valueFormatter.format(value));
+                }
+                builder.endObject();
+            }
+            builder.endArray();
+        }
+        return builder;
+    }
+}

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/hdr/HDRPercentileRanksAggregator.java

@@ -0,0 +1,106 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics.percentiles.hdr;
+
+import org.HdrHistogram.DoubleHistogram;
+import org.elasticsearch.search.aggregations.Aggregator;
+import org.elasticsearch.search.aggregations.InternalAggregation;
+import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
+import org.elasticsearch.search.aggregations.support.AggregationContext;
+import org.elasticsearch.search.aggregations.support.ValuesSource;
+import org.elasticsearch.search.aggregations.support.ValuesSource.Numeric;
+import org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory;
+import org.elasticsearch.search.aggregations.support.ValuesSourceConfig;
+import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.Map;
+
+/**
+ *
+ */
+public class HDRPercentileRanksAggregator extends AbstractHDRPercentilesAggregator {
+
+    public HDRPercentileRanksAggregator(String name, Numeric valuesSource, AggregationContext context, Aggregator parent,
+            double[] percents, int numberOfSignificantValueDigits, boolean keyed, ValueFormatter formatter,
+            List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) throws IOException {
+        super(name, valuesSource, context, parent, percents, numberOfSignificantValueDigits, keyed, formatter, pipelineAggregators,
+                metaData);
+    }
+
+    @Override
+    public InternalAggregation buildAggregation(long owningBucketOrdinal) {
+        DoubleHistogram state = getState(owningBucketOrdinal);
+        if (state == null) {
+            return buildEmptyAggregation();
+        } else {
+            return new InternalHDRPercentileRanks(name, keys, state, keyed, formatter, pipelineAggregators(), metaData());
+        }
+    }
+
+    @Override
+    public InternalAggregation buildEmptyAggregation() {
+        DoubleHistogram state;
+        state = new DoubleHistogram(numberOfSignificantValueDigits);
+        state.setAutoResize(true);
+        return new InternalHDRPercentileRanks(name, keys, state,
+                keyed, formatter, pipelineAggregators(), metaData());
+    }
+
+    @Override
+    public double metric(String name, long bucketOrd) {
+        DoubleHistogram state = getState(bucketOrd);
+        if (state == null) {
+            return Double.NaN;
+        } else {
+            return InternalHDRPercentileRanks.percentileRank(state, Double.valueOf(name));
+        }
+    }
+
+    public static class Factory extends ValuesSourceAggregatorFactory.LeafOnly<ValuesSource.Numeric> {
+
+        private final double[] values;
+        private final int numberOfSignificantValueDigits;
+        private final boolean keyed;
+
+        public Factory(String name, ValuesSourceConfig<ValuesSource.Numeric> valuesSourceConfig, double[] values,
+                int numberOfSignificantValueDigits, boolean keyed) {
+            super(name, InternalHDRPercentiles.TYPE.name(), valuesSourceConfig);
+            this.values = values;
+            this.numberOfSignificantValueDigits = numberOfSignificantValueDigits;
+            this.keyed = keyed;
+        }
+
+        @Override
+        protected Aggregator createUnmapped(AggregationContext aggregationContext, Aggregator parent,
+                List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) throws IOException {
+            return new HDRPercentileRanksAggregator(name, null, aggregationContext, parent, values, numberOfSignificantValueDigits, keyed,
+                    config.formatter(), pipelineAggregators, metaData);
+        }
+
+        @Override
+        protected Aggregator doCreateInternal(ValuesSource.Numeric valuesSource, AggregationContext aggregationContext, Aggregator parent,
+                boolean collectsFromSingleBucket, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData)
+                throws IOException {
+            return new HDRPercentileRanksAggregator(name, valuesSource, aggregationContext, parent, values, numberOfSignificantValueDigits,
+                    keyed, config.formatter(), pipelineAggregators, metaData);
+        }
+    }
+}

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/hdr/HDRPercentilesAggregator.java

@@ -0,0 +1,108 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics.percentiles.hdr;
+
+import org.HdrHistogram.DoubleHistogram;
+import org.elasticsearch.search.aggregations.Aggregator;
+import org.elasticsearch.search.aggregations.InternalAggregation;
+import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.InternalTDigestPercentiles;
+import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
+import org.elasticsearch.search.aggregations.support.AggregationContext;
+import org.elasticsearch.search.aggregations.support.ValuesSource;
+import org.elasticsearch.search.aggregations.support.ValuesSource.Numeric;
+import org.elasticsearch.search.aggregations.support.ValuesSourceAggregatorFactory;
+import org.elasticsearch.search.aggregations.support.ValuesSourceConfig;
+import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.Map;
+
+/**
+ *
+ */
+public class HDRPercentilesAggregator extends AbstractHDRPercentilesAggregator {
+
+    public HDRPercentilesAggregator(String name, Numeric valuesSource, AggregationContext context, Aggregator parent, double[] percents,
+            int numberOfSignificantValueDigits, boolean keyed, ValueFormatter formatter,
+            List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) throws IOException {
+        super(name, valuesSource, context, parent, percents, numberOfSignificantValueDigits, keyed, formatter,
+                pipelineAggregators, metaData);
+    }
+
+    @Override
+    public InternalAggregation buildAggregation(long owningBucketOrdinal) {
+        DoubleHistogram state = getState(owningBucketOrdinal);
+        if (state == null) {
+            return buildEmptyAggregation();
+        } else {
+            return new InternalHDRPercentiles(name, keys, state, keyed, formatter, pipelineAggregators(), metaData());
+        }
+    }
+
+    @Override
+    public double metric(String name, long bucketOrd) {
+        DoubleHistogram state = getState(bucketOrd);
+        if (state == null) {
+            return Double.NaN;
+        } else {
+            return state.getValueAtPercentile(Double.parseDouble(name));
+        }
+    }
+
+    @Override
+    public InternalAggregation buildEmptyAggregation() {
+        DoubleHistogram state;
+        state = new DoubleHistogram(numberOfSignificantValueDigits);
+        state.setAutoResize(true);
+        return new InternalHDRPercentiles(name, keys, state,
+                keyed,
+                formatter, pipelineAggregators(), metaData());
+    }
+
+    public static class Factory extends ValuesSourceAggregatorFactory.LeafOnly<ValuesSource.Numeric> {
+
+        private final double[] percents;
+        private final int numberOfSignificantValueDigits;
+        private final boolean keyed;
+
+        public Factory(String name, ValuesSourceConfig<ValuesSource.Numeric> valuesSourceConfig, double[] percents,
+                int numberOfSignificantValueDigits, boolean keyed) {
+            super(name, InternalTDigestPercentiles.TYPE.name(), valuesSourceConfig);
+            this.percents = percents;
+            this.numberOfSignificantValueDigits = numberOfSignificantValueDigits;
+            this.keyed = keyed;
+        }
+
+        @Override
+        protected Aggregator createUnmapped(AggregationContext aggregationContext, Aggregator parent,
+                List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) throws IOException {
+            return new HDRPercentilesAggregator(name, null, aggregationContext, parent, percents, numberOfSignificantValueDigits, keyed,
+                    config.formatter(), pipelineAggregators, metaData);
+        }
+
+        @Override
+        protected Aggregator doCreateInternal(ValuesSource.Numeric valuesSource, AggregationContext aggregationContext, Aggregator parent,
+                boolean collectsFromSingleBucket, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData)
+                throws IOException {
+            return new HDRPercentilesAggregator(name, valuesSource, aggregationContext, parent, percents, numberOfSignificantValueDigits,
+                    keyed, config.formatter(), pipelineAggregators, metaData);
+        }
+    }
+}

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/hdr/InternalHDRPercentileRanks.java

@@ -0,0 +1,133 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics.percentiles.hdr;
+
+import com.google.common.collect.UnmodifiableIterator;
+
+import org.HdrHistogram.DoubleHistogram;
+import org.elasticsearch.common.io.stream.StreamInput;
+import org.elasticsearch.search.aggregations.AggregationStreams;
+import org.elasticsearch.search.aggregations.metrics.percentiles.InternalPercentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.PercentileRanks;
+import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
+import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
+
+import java.io.IOException;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+
+/**
+*
+*/
+public class InternalHDRPercentileRanks extends AbstractInternalHDRPercentiles implements PercentileRanks {
+
+    public final static Type TYPE = new Type(PercentileRanks.TYPE_NAME, "hdr_percentile_ranks");
+
+    public final static AggregationStreams.Stream STREAM = new AggregationStreams.Stream() {
+        @Override
+        public InternalHDRPercentileRanks readResult(StreamInput in) throws IOException {
+            InternalHDRPercentileRanks result = new InternalHDRPercentileRanks();
+            result.readFrom(in);
+            return result;
+        }
+    };
+
+    public static void registerStreams() {
+        AggregationStreams.registerStream(STREAM, TYPE.stream());
+    }
+
+    InternalHDRPercentileRanks() {
+    } // for serialization
+
+    public InternalHDRPercentileRanks(String name, double[] cdfValues, DoubleHistogram state, boolean keyed, ValueFormatter formatter,
+            List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
+        super(name, cdfValues, state, keyed, formatter, pipelineAggregators, metaData);
+    }
+
+    @Override
+    public Iterator<Percentile> iterator() {
+        return new Iter(keys, state);
+    }
+
+    @Override
+    public double percent(double value) {
+        return percentileRank(state, value);
+    }
+
+    @Override
+    public String percentAsString(double value) {
+        return valueAsString(String.valueOf(value));
+    }
+
+    @Override
+    public double value(double key) {
+        return percent(key);
+    }
+
+    @Override
+    protected AbstractInternalHDRPercentiles createReduced(String name, double[] keys, DoubleHistogram merged, boolean keyed,
+            List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
+        return new InternalHDRPercentileRanks(name, keys, merged, keyed, valueFormatter, pipelineAggregators, metaData);
+    }
+
+    @Override
+    public Type type() {
+        return TYPE;
+    }
+
+    static double percentileRank(DoubleHistogram state, double value) {
+        if (state.getTotalCount() == 0) {
+            return Double.NaN;
+        }
+        double percentileRank = state.getPercentileAtOrBelowValue(value);
+        if (percentileRank < 0) {
+            percentileRank = 0;
+        } else if (percentileRank > 100) {
+            percentileRank = 100;
+        }
+        return percentileRank;
+    }
+
+    public static class Iter extends UnmodifiableIterator<Percentile> {
+
+        private final double[] values;
+        private final DoubleHistogram state;
+        private int i;
+
+        public Iter(double[] values, DoubleHistogram state) {
+            this.values = values;
+            this.state = state;
+            i = 0;
+        }
+
+        @Override
+        public boolean hasNext() {
+            return i < values.length;
+        }
+
+        @Override
+        public Percentile next() {
+            final Percentile next = new InternalPercentile(percentileRank(state, values[i]), values[i]);
+            ++i;
+            return next;
+        }
+    }
+}

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/hdr/InternalHDRPercentiles.java

@@ -0,0 +1,123 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics.percentiles.hdr;
+
+import com.google.common.collect.UnmodifiableIterator;
+
+import org.HdrHistogram.DoubleHistogram;
+import org.elasticsearch.common.io.stream.StreamInput;
+import org.elasticsearch.search.aggregations.AggregationStreams;
+import org.elasticsearch.search.aggregations.metrics.percentiles.InternalPercentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.Percentiles;
+import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
+import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
+
+import java.io.IOException;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+
+/**
+*
+*/
+public class InternalHDRPercentiles extends AbstractInternalHDRPercentiles implements Percentiles {
+
+    public final static Type TYPE = new Type(Percentiles.TYPE_NAME, "hdr_percentiles");
+
+    public final static AggregationStreams.Stream STREAM = new AggregationStreams.Stream() {
+        @Override
+        public InternalHDRPercentiles readResult(StreamInput in) throws IOException {
+            InternalHDRPercentiles result = new InternalHDRPercentiles();
+            result.readFrom(in);
+            return result;
+        }
+    };
+
+    public static void registerStreams() {
+        AggregationStreams.registerStream(STREAM, TYPE.stream());
+    }
+
+    InternalHDRPercentiles() {
+    } // for serialization
+
+    public InternalHDRPercentiles(String name, double[] percents, DoubleHistogram state, boolean keyed, ValueFormatter formatter,
+            List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
+        super(name, percents, state, keyed, formatter, pipelineAggregators, metaData);
+    }
+
+    @Override
+    public Iterator<Percentile> iterator() {
+        return new Iter(keys, state);
+    }
+
+    @Override
+    public double percentile(double percent) {
+        if (state.getTotalCount() == 0) {
+            return Double.NaN;
+        }
+        return state.getValueAtPercentile(percent);
+    }
+
+    @Override
+    public String percentileAsString(double percent) {
+        return valueAsString(String.valueOf(percent));
+    }
+
+    @Override
+    public double value(double key) {
+        return percentile(key);
+    }
+
+    @Override
+    protected AbstractInternalHDRPercentiles createReduced(String name, double[] keys, DoubleHistogram merged, boolean keyed,
+            List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
+        return new InternalHDRPercentiles(name, keys, merged, keyed, valueFormatter, pipelineAggregators, metaData);
+    }
+
+    @Override
+    public Type type() {
+        return TYPE;
+    }
+
+    public static class Iter extends UnmodifiableIterator<Percentile> {
+
+        private final double[] percents;
+        private final DoubleHistogram state;
+        private int i;
+
+        public Iter(double[] percents, DoubleHistogram state) {
+            this.percents = percents;
+            this.state = state;
+            i = 0;
+        }
+
+        @Override
+        public boolean hasNext() {
+            return i < percents.length;
+        }
+
+        @Override
+        public Percentile next() {
+            final Percentile next = new InternalPercentile(percents[i], state.getValueAtPercentile(percents[i]));
+            ++i;
+            return next;
+        }
+    }
+}

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/tdigest/AbstractInternalTDigestPercentiles.java

@@ -17,14 +17,13 @@
  * under the License.
  */
 
-package org.elasticsearch.search.aggregations.metrics.percentiles;
+package org.elasticsearch.search.aggregations.metrics.percentiles.tdigest;
 
 import org.elasticsearch.common.io.stream.StreamInput;
 import org.elasticsearch.common.io.stream.StreamOutput;
 import org.elasticsearch.common.xcontent.XContentBuilder;
 import org.elasticsearch.search.aggregations.InternalAggregation;
 import org.elasticsearch.search.aggregations.metrics.InternalNumericMetricsAggregation;
-import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.TDigestState;
 import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
 import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
 import org.elasticsearch.search.aggregations.support.format.ValueFormatterStreams;
@@ -33,15 +32,15 @@ import java.io.IOException;
 import java.util.List;
 import java.util.Map;
 
-abstract class AbstractInternalPercentiles extends InternalNumericMetricsAggregation.MultiValue {
+abstract class AbstractInternalTDigestPercentiles extends InternalNumericMetricsAggregation.MultiValue {
 
     protected double[] keys;
     protected TDigestState state;
     private boolean keyed;
 
-    AbstractInternalPercentiles() {} // for serialization
+    AbstractInternalTDigestPercentiles() {} // for serialization
 
-    public AbstractInternalPercentiles(String name, double[] keys, TDigestState state, boolean keyed, ValueFormatter formatter,
+    public AbstractInternalTDigestPercentiles(String name, double[] keys, TDigestState state, boolean keyed, ValueFormatter formatter,
             List<PipelineAggregator> pipelineAggregators,
             Map<String, Object> metaData) {
         super(name, pipelineAggregators, metaData);
@@ -58,11 +57,15 @@ abstract class AbstractInternalPercentiles extends InternalNumericMetricsAggrega
 
     public abstract double value(double key);
 
+    public long getEstimatedMemoryFootprint() {
+        return state.byteSize();
+    }
+
     @Override
-    public AbstractInternalPercentiles doReduce(List<InternalAggregation> aggregations, ReduceContext reduceContext) {
+    public AbstractInternalTDigestPercentiles doReduce(List<InternalAggregation> aggregations, ReduceContext reduceContext) {
         TDigestState merged = null;
         for (InternalAggregation aggregation : aggregations) {
-            final AbstractInternalPercentiles percentiles = (AbstractInternalPercentiles) aggregation;
+            final AbstractInternalTDigestPercentiles percentiles = (AbstractInternalTDigestPercentiles) aggregation;
             if (merged == null) {
                 merged = new TDigestState(percentiles.state.compression());
             }
@@ -71,7 +74,7 @@ abstract class AbstractInternalPercentiles extends InternalNumericMetricsAggrega
         return createReduced(getName(), keys, merged, keyed, pipelineAggregators(), getMetaData());
     }
 
-    protected abstract AbstractInternalPercentiles createReduced(String name, double[] keys, TDigestState merged, boolean keyed,
+    protected abstract AbstractInternalTDigestPercentiles createReduced(String name, double[] keys, TDigestState merged, boolean keyed,
             List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData);
 
     @Override

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/tdigest/AbstractTDigestPercentilesAggregator.java

@@ -17,7 +17,7 @@
  * under the License.
  */
 
-package org.elasticsearch.search.aggregations.metrics.percentiles;
+package org.elasticsearch.search.aggregations.metrics.percentiles.tdigest;
 
 import org.apache.lucene.index.LeafReaderContext;
 import org.elasticsearch.common.lease.Releasables;
@@ -29,7 +29,6 @@ import org.elasticsearch.search.aggregations.Aggregator;
 import org.elasticsearch.search.aggregations.LeafBucketCollector;
 import org.elasticsearch.search.aggregations.LeafBucketCollectorBase;
 import org.elasticsearch.search.aggregations.metrics.NumericMetricsAggregator;
-import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.TDigestState;
 import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
 import org.elasticsearch.search.aggregations.support.AggregationContext;
 import org.elasticsearch.search.aggregations.support.ValuesSource;
@@ -39,7 +38,7 @@ import java.io.IOException;
 import java.util.List;
 import java.util.Map;
 
-public abstract class AbstractPercentilesAggregator extends NumericMetricsAggregator.MultiValue {
+public abstract class AbstractTDigestPercentilesAggregator extends NumericMetricsAggregator.MultiValue {
 
     private static int indexOfKey(double[] keys, double key) {
         return ArrayUtils.binarySearch(keys, key, 0.001);
@@ -52,7 +51,7 @@ public abstract class AbstractPercentilesAggregator extends NumericMetricsAggreg
     protected final double compression;
     protected final boolean keyed;
 
-    public AbstractPercentilesAggregator(String name, ValuesSource.Numeric valuesSource, AggregationContext context, Aggregator parent,
+    public AbstractTDigestPercentilesAggregator(String name, ValuesSource.Numeric valuesSource, AggregationContext context, Aggregator parent,
             double[] keys, double compression, boolean keyed, ValueFormatter formatter,
             List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) throws IOException {
         super(name, context, parent, pipelineAggregators, metaData);

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/tdigest/InternalTDigestPercentileRanks.java

@@ -16,13 +16,15 @@
  * specific language governing permissions and limitations
  * under the License.
  */
-package org.elasticsearch.search.aggregations.metrics.percentiles;
+package org.elasticsearch.search.aggregations.metrics.percentiles.tdigest;
 
 import com.google.common.collect.UnmodifiableIterator;
 
 import org.elasticsearch.common.io.stream.StreamInput;
 import org.elasticsearch.search.aggregations.AggregationStreams;
-import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.TDigestState;
+import org.elasticsearch.search.aggregations.metrics.percentiles.InternalPercentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.PercentileRanks;
 import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
 import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
 
@@ -34,14 +36,14 @@ import java.util.Map;
 /**
 *
 */
-public class InternalPercentileRanks extends AbstractInternalPercentiles implements PercentileRanks {
+public class InternalTDigestPercentileRanks extends AbstractInternalTDigestPercentiles implements PercentileRanks {
 
-    public final static Type TYPE = new Type("percentile_ranks");
+    public final static Type TYPE = new Type(PercentileRanks.TYPE_NAME, "t_digest_percentile_ranks");
 
     public final static AggregationStreams.Stream STREAM = new AggregationStreams.Stream() {
         @Override
-        public InternalPercentileRanks readResult(StreamInput in) throws IOException {
-            InternalPercentileRanks result = new InternalPercentileRanks();
+        public InternalTDigestPercentileRanks readResult(StreamInput in) throws IOException {
+            InternalTDigestPercentileRanks result = new InternalTDigestPercentileRanks();
             result.readFrom(in);
             return result;
         }
@@ -51,9 +53,9 @@ public class InternalPercentileRanks extends AbstractInternalPercentiles impleme
         AggregationStreams.registerStream(STREAM, TYPE.stream());
     }
 
-    InternalPercentileRanks() {} // for serialization
+    InternalTDigestPercentileRanks() {} // for serialization
 
-    public InternalPercentileRanks(String name, double[] cdfValues, TDigestState state, boolean keyed, ValueFormatter formatter,
+    public InternalTDigestPercentileRanks(String name, double[] cdfValues, TDigestState state, boolean keyed, ValueFormatter formatter,
             List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
         super(name, cdfValues, state, keyed, formatter, pipelineAggregators, metaData);
     }
@@ -79,9 +81,9 @@ public class InternalPercentileRanks extends AbstractInternalPercentiles impleme
     }
 
     @Override
-    protected AbstractInternalPercentiles createReduced(String name, double[] keys, TDigestState merged, boolean keyed,
+    protected AbstractInternalTDigestPercentiles createReduced(String name, double[] keys, TDigestState merged, boolean keyed,
             List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
-        return new InternalPercentileRanks(name, keys, merged, keyed, valueFormatter, pipelineAggregators, metaData);
+        return new InternalTDigestPercentileRanks(name, keys, merged, keyed, valueFormatter, pipelineAggregators, metaData);
     }
 
     @Override

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/tdigest/InternalTDigestPercentiles.java

@@ -16,13 +16,15 @@
  * specific language governing permissions and limitations
  * under the License.
  */
-package org.elasticsearch.search.aggregations.metrics.percentiles;
+package org.elasticsearch.search.aggregations.metrics.percentiles.tdigest;
 
 import com.google.common.collect.UnmodifiableIterator;
 
 import org.elasticsearch.common.io.stream.StreamInput;
 import org.elasticsearch.search.aggregations.AggregationStreams;
-import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.TDigestState;
+import org.elasticsearch.search.aggregations.metrics.percentiles.InternalPercentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.Percentiles;
 import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
 import org.elasticsearch.search.aggregations.support.format.ValueFormatter;
 
@@ -34,14 +36,14 @@ import java.util.Map;
 /**
 *
 */
-public class InternalPercentiles extends AbstractInternalPercentiles implements Percentiles {
+public class InternalTDigestPercentiles extends AbstractInternalTDigestPercentiles implements Percentiles {
 
-    public final static Type TYPE = new Type("percentiles");
+    public final static Type TYPE = new Type(Percentiles.TYPE_NAME, "t_digest_percentiles");
 
     public final static AggregationStreams.Stream STREAM = new AggregationStreams.Stream() {
         @Override
-        public InternalPercentiles readResult(StreamInput in) throws IOException {
-            InternalPercentiles result = new InternalPercentiles();
+        public InternalTDigestPercentiles readResult(StreamInput in) throws IOException {
+            InternalTDigestPercentiles result = new InternalTDigestPercentiles();
             result.readFrom(in);
             return result;
         }
@@ -51,10 +53,10 @@ public class InternalPercentiles extends AbstractInternalPercentiles implements
         AggregationStreams.registerStream(STREAM, TYPE.stream());
     }
 
-    InternalPercentiles() {
+    InternalTDigestPercentiles() {
     } // for serialization
 
-    public InternalPercentiles(String name, double[] percents, TDigestState state, boolean keyed, ValueFormatter formatter,
+    public InternalTDigestPercentiles(String name, double[] percents, TDigestState state, boolean keyed, ValueFormatter formatter,
             List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
         super(name, percents, state, keyed, formatter, pipelineAggregators, metaData);
     }
@@ -80,9 +82,9 @@ public class InternalPercentiles extends AbstractInternalPercentiles implements
     }
 
     @Override
-    protected AbstractInternalPercentiles createReduced(String name, double[] keys, TDigestState merged, boolean keyed,
+    protected AbstractInternalTDigestPercentiles createReduced(String name, double[] keys, TDigestState merged, boolean keyed,
             List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) {
-        return new InternalPercentiles(name, keys, merged, keyed, valueFormatter, pipelineAggregators, metaData);
+        return new InternalTDigestPercentiles(name, keys, merged, keyed, valueFormatter, pipelineAggregators, metaData);
     }
 
     @Override

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/tdigest/TDigestPercentileRanksAggregator.java

@@ -16,11 +16,10 @@
  * specific language governing permissions and limitations
  * under the License.
  */
-package org.elasticsearch.search.aggregations.metrics.percentiles;
+package org.elasticsearch.search.aggregations.metrics.percentiles.tdigest;
 
 import org.elasticsearch.search.aggregations.Aggregator;
 import org.elasticsearch.search.aggregations.InternalAggregation;
-import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.TDigestState;
 import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
 import org.elasticsearch.search.aggregations.support.AggregationContext;
 import org.elasticsearch.search.aggregations.support.ValuesSource;
@@ -36,9 +35,9 @@ import java.util.Map;
 /**
  *
  */
-public class PercentileRanksAggregator extends AbstractPercentilesAggregator {
+public class TDigestPercentileRanksAggregator extends AbstractTDigestPercentilesAggregator {
 
-    public PercentileRanksAggregator(String name, Numeric valuesSource, AggregationContext context, Aggregator parent, double[] percents,
+    public TDigestPercentileRanksAggregator(String name, Numeric valuesSource, AggregationContext context, Aggregator parent, double[] percents,
             double compression, boolean keyed, ValueFormatter formatter, List<PipelineAggregator> pipelineAggregators,
             Map<String, Object> metaData)
             throws IOException {
@@ -51,13 +50,13 @@ public class PercentileRanksAggregator extends AbstractPercentilesAggregator {
         if (state == null) {
             return buildEmptyAggregation();
         } else {
-            return new InternalPercentileRanks(name, keys, state, keyed, formatter, pipelineAggregators(), metaData());
+            return new InternalTDigestPercentileRanks(name, keys, state, keyed, formatter, pipelineAggregators(), metaData());
         }
     }
 
     @Override
     public InternalAggregation buildEmptyAggregation() {
-        return new InternalPercentileRanks(name, keys, new TDigestState(compression), keyed, formatter, pipelineAggregators(), metaData());
+        return new InternalTDigestPercentileRanks(name, keys, new TDigestState(compression), keyed, formatter, pipelineAggregators(), metaData());
     }
 
     @Override
@@ -66,7 +65,7 @@ public class PercentileRanksAggregator extends AbstractPercentilesAggregator {
         if (state == null) {
             return Double.NaN;
         } else {
-            return InternalPercentileRanks.percentileRank(state, Double.valueOf(name));
+            return InternalTDigestPercentileRanks.percentileRank(state, Double.valueOf(name));
         }
     }
 
@@ -78,7 +77,7 @@ public class PercentileRanksAggregator extends AbstractPercentilesAggregator {
 
         public Factory(String name, ValuesSourceConfig<ValuesSource.Numeric> valuesSourceConfig,
                 double[] values, double compression, boolean keyed) {
-            super(name, InternalPercentiles.TYPE.name(), valuesSourceConfig);
+            super(name, InternalTDigestPercentiles.TYPE.name(), valuesSourceConfig);
             this.values = values;
             this.compression = compression;
             this.keyed = keyed;
@@ -87,7 +86,7 @@ public class PercentileRanksAggregator extends AbstractPercentilesAggregator {
         @Override
         protected Aggregator createUnmapped(AggregationContext aggregationContext, Aggregator parent,
                 List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) throws IOException {
-            return new PercentileRanksAggregator(name, null, aggregationContext, parent, values, compression, keyed, config.formatter(),
+            return new TDigestPercentileRanksAggregator(name, null, aggregationContext, parent, values, compression, keyed, config.formatter(),
                     pipelineAggregators, metaData);
         }
 
@@ -95,7 +94,7 @@ public class PercentileRanksAggregator extends AbstractPercentilesAggregator {
         protected Aggregator doCreateInternal(ValuesSource.Numeric valuesSource, AggregationContext aggregationContext, Aggregator parent,
                 boolean collectsFromSingleBucket, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData)
                 throws IOException {
-            return new PercentileRanksAggregator(name, valuesSource, aggregationContext, parent, values, compression, keyed,
+            return new TDigestPercentileRanksAggregator(name, valuesSource, aggregationContext, parent, values, compression, keyed,
                     config.formatter(), pipelineAggregators, metaData);
         }
     }

core/src/main/java/org/elasticsearch/search/aggregations/metrics/percentiles/tdigest/TDigestPercentilesAggregator.java

@@ -16,11 +16,10 @@
  * specific language governing permissions and limitations
  * under the License.
  */
-package org.elasticsearch.search.aggregations.metrics.percentiles;
+package org.elasticsearch.search.aggregations.metrics.percentiles.tdigest;
 
 import org.elasticsearch.search.aggregations.Aggregator;
 import org.elasticsearch.search.aggregations.InternalAggregation;
-import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.TDigestState;
 import org.elasticsearch.search.aggregations.pipeline.PipelineAggregator;
 import org.elasticsearch.search.aggregations.support.AggregationContext;
 import org.elasticsearch.search.aggregations.support.ValuesSource;
@@ -36,9 +35,9 @@ import java.util.Map;
 /**
  *
  */
-public class PercentilesAggregator extends AbstractPercentilesAggregator {
+public class TDigestPercentilesAggregator extends AbstractTDigestPercentilesAggregator {
 
-    public PercentilesAggregator(String name, Numeric valuesSource, AggregationContext context,
+    public TDigestPercentilesAggregator(String name, Numeric valuesSource, AggregationContext context,
             Aggregator parent, double[] percents,
             double compression, boolean keyed, ValueFormatter formatter, List<PipelineAggregator> pipelineAggregators,
             Map<String, Object> metaData) throws IOException {
@@ -51,7 +50,7 @@ public class PercentilesAggregator extends AbstractPercentilesAggregator {
         if (state == null) {
             return buildEmptyAggregation();
         } else {
-            return new InternalPercentiles(name, keys, state, keyed, formatter, pipelineAggregators(), metaData());
+            return new InternalTDigestPercentiles(name, keys, state, keyed, formatter, pipelineAggregators(), metaData());
         }
     }
 
@@ -67,7 +66,7 @@ public class PercentilesAggregator extends AbstractPercentilesAggregator {
 
     @Override
     public InternalAggregation buildEmptyAggregation() {
-        return new InternalPercentiles(name, keys, new TDigestState(compression), keyed, formatter, pipelineAggregators(), metaData());
+        return new InternalTDigestPercentiles(name, keys, new TDigestState(compression), keyed, formatter, pipelineAggregators(), metaData());
     }
 
     public static class Factory extends ValuesSourceAggregatorFactory.LeafOnly<ValuesSource.Numeric> {
@@ -78,7 +77,7 @@ public class PercentilesAggregator extends AbstractPercentilesAggregator {
 
         public Factory(String name, ValuesSourceConfig<ValuesSource.Numeric> valuesSourceConfig,
                 double[] percents, double compression, boolean keyed) {
-            super(name, InternalPercentiles.TYPE.name(), valuesSourceConfig);
+            super(name, InternalTDigestPercentiles.TYPE.name(), valuesSourceConfig);
             this.percents = percents;
             this.compression = compression;
             this.keyed = keyed;
@@ -87,7 +86,7 @@ public class PercentilesAggregator extends AbstractPercentilesAggregator {
         @Override
         protected Aggregator createUnmapped(AggregationContext aggregationContext, Aggregator parent,
                 List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData) throws IOException {
-            return new PercentilesAggregator(name, null, aggregationContext, parent, percents, compression, keyed, config.formatter(),
+            return new TDigestPercentilesAggregator(name, null, aggregationContext, parent, percents, compression, keyed, config.formatter(),
                     pipelineAggregators, metaData);
         }
 
@@ -95,7 +94,7 @@ public class PercentilesAggregator extends AbstractPercentilesAggregator {
         protected Aggregator doCreateInternal(ValuesSource.Numeric valuesSource, AggregationContext aggregationContext, Aggregator parent,
                 boolean collectsFromSingleBucket, List<PipelineAggregator> pipelineAggregators, Map<String, Object> metaData)
                 throws IOException {
-            return new PercentilesAggregator(name, valuesSource, aggregationContext, parent, percents, compression, keyed,
+            return new TDigestPercentilesAggregator(name, valuesSource, aggregationContext, parent, percents, compression, keyed,
                     config.formatter(), pipelineAggregators, metaData);
         }
     }

core/src/test/java/org/elasticsearch/action/termvectors/TermVectorsUnitTests.java

@@ -49,6 +49,7 @@ import org.junit.Test;
 import java.io.ByteArrayInputStream;
 import java.io.ByteArrayOutputStream;
 import java.io.IOException;
+import java.util.Arrays;
 import java.util.EnumSet;
 import java.util.HashSet;
 import java.util.Set;
@@ -335,11 +336,11 @@ public class TermVectorsUnitTests extends ElasticsearchTestCase {
     }
 
     void checkParsedFilterParameters(MultiTermVectorsRequest multiRequest) {
-        int id = 1;
+        Set<String> ids = new HashSet<>(Arrays.asList("1", "2"));
         for (TermVectorsRequest request : multiRequest.requests) {
             assertThat(request.index(), equalTo("testidx"));
             assertThat(request.type(), equalTo("test"));
-            assertThat(request.id(), equalTo(id+""));
+            assertTrue(ids.remove(request.id()));
             assertNotNull(request.filterSettings());
             assertThat(request.filterSettings().maxNumTerms, equalTo(20));
             assertThat(request.filterSettings().minTermFreq, equalTo(1));
@@ -348,7 +349,7 @@ public class TermVectorsUnitTests extends ElasticsearchTestCase {
             assertThat(request.filterSettings().maxDocFreq, equalTo(20));
             assertThat(request.filterSettings().minWordLength, equalTo(1));
             assertThat(request.filterSettings().maxWordLength, equalTo(20));
-            id++;
         }
+        assertTrue(ids.isEmpty());
     }
 }

core/src/test/java/org/elasticsearch/benchmark/search/aggregations/HDRPercentilesAggregationBenchmark.java

@@ -0,0 +1,158 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.benchmark.search.aggregations;
+
+import com.carrotsearch.randomizedtesting.generators.RandomInts;
+
+import org.elasticsearch.action.admin.cluster.health.ClusterHealthResponse;
+import org.elasticsearch.action.bulk.BulkRequestBuilder;
+import org.elasticsearch.action.bulk.BulkResponse;
+import org.elasticsearch.action.search.SearchResponse;
+import org.elasticsearch.client.Client;
+import org.elasticsearch.common.StopWatch;
+import org.elasticsearch.common.settings.Settings;
+import org.elasticsearch.common.unit.SizeUnit;
+import org.elasticsearch.common.unit.SizeValue;
+import org.elasticsearch.common.unit.TimeValue;
+import org.elasticsearch.node.Node;
+import org.elasticsearch.search.aggregations.metrics.percentiles.PercentilesMethod;
+import org.elasticsearch.search.aggregations.metrics.percentiles.hdr.InternalHDRPercentiles;
+import org.elasticsearch.search.aggregations.metrics.percentiles.tdigest.InternalTDigestPercentiles;
+
+import java.util.Random;
+import java.util.concurrent.TimeUnit;
+
+import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_REPLICAS;
+import static org.elasticsearch.cluster.metadata.IndexMetaData.SETTING_NUMBER_OF_SHARDS;
+import static org.elasticsearch.common.settings.Settings.settingsBuilder;
+import static org.elasticsearch.node.NodeBuilder.nodeBuilder;
+import static org.elasticsearch.search.aggregations.AggregationBuilders.percentiles;
+
+public class HDRPercentilesAggregationBenchmark {
+
+    private static final String TYPE_NAME = "type";
+    private static final String INDEX_NAME = "index";
+    private static final String HIGH_CARD_FIELD_NAME = "high_card";
+    private static final String LOW_CARD_FIELD_NAME = "low_card";
+    private static final String GAUSSIAN_FIELD_NAME = "gauss";
+    private static final Random R = new Random();
+    private static final String CLUSTER_NAME = HDRPercentilesAggregationBenchmark.class.getSimpleName();
+    private static final int NUM_DOCS = 10000000;
+    private static final int LOW_CARD = 1000;
+    private static final int HIGH_CARD = 1000000;
+    private static final int BATCH = 100;
+    private static final int WARM = 5;
+    private static final int RUNS = 10;
+    private static final int ITERS = 5;
+
+    public static void main(String[] args) {
+        long overallStartTime = System.currentTimeMillis();
+        Settings settings = settingsBuilder()
+                .put("index.refresh_interval", "-1")
+                .put(SETTING_NUMBER_OF_SHARDS, 5)
+                .put(SETTING_NUMBER_OF_REPLICAS, 0)
+                .build();
+
+        Node[] nodes = new Node[1];
+        for (int i = 0; i < nodes.length; i++) {
+            nodes[i] = nodeBuilder().clusterName(CLUSTER_NAME)
+                    .settings(settingsBuilder().put(settings).put("name", "node" + i))
+                    .node();
+        }
+
+        Node clientNode = nodeBuilder()
+                .clusterName(CLUSTER_NAME)
+                .settings(settingsBuilder().put(settings).put("name", "client")).client(true).node();
+
+        Client client = clientNode.client();
+
+        try {
+            client.admin().indices().prepareCreate(INDEX_NAME);
+
+            System.out.println("Indexing " + NUM_DOCS + " documents");
+
+            StopWatch stopWatch = new StopWatch().start();
+            for (int i = 0; i < NUM_DOCS; ) {
+                BulkRequestBuilder request = client.prepareBulk();
+                for (int j = 0; j < BATCH && i < NUM_DOCS; ++j) {
+                    final int lowCard = RandomInts.randomInt(R, LOW_CARD);
+                    final int highCard = RandomInts.randomInt(R, HIGH_CARD);
+                    int gauss = -1;
+                    while (gauss < 0) {
+                        gauss = (int) (R.nextGaussian() * 1000) + 5000; // mean: 5 sec, std deviation: 1 sec
+                    }
+                    request.add(client.prepareIndex(INDEX_NAME, TYPE_NAME, Integer.toString(i)).setSource(LOW_CARD_FIELD_NAME, lowCard,
+                            HIGH_CARD_FIELD_NAME, highCard, GAUSSIAN_FIELD_NAME, gauss));
+                    ++i;
+                }
+                BulkResponse response = request.execute().actionGet();
+                if (response.hasFailures()) {
+                    System.err.println("--> failures...");
+                    System.err.println(response.buildFailureMessage());
+                }
+                if ((i % 100000) == 0) {
+                    System.out.println("--> Indexed " + i + " took " + stopWatch.stop().lastTaskTime());
+                    stopWatch.start();
+                }
+            }
+
+            client.admin().indices().prepareRefresh(INDEX_NAME).execute().actionGet();
+        } catch (Exception e) {
+            System.out.println("Index already exists, skipping index creation");
+        }
+
+        ClusterHealthResponse clusterHealthResponse = client.admin().cluster().prepareHealth().setWaitForGreenStatus().setTimeout("10m").execute().actionGet();
+        if (clusterHealthResponse.isTimedOut()) {
+            System.err.println("--> Timed out waiting for cluster health");
+        }
+
+        System.out.println("Run\tField\tMethod\tAggregationTime\tEstimatedMemory");
+        for (int i = 0; i < WARM + RUNS; ++i) {
+            for (String field : new String[] { LOW_CARD_FIELD_NAME, HIGH_CARD_FIELD_NAME, GAUSSIAN_FIELD_NAME }) {
+                for (PercentilesMethod method : new PercentilesMethod[] {PercentilesMethod.TDIGEST, PercentilesMethod.HDR}) {
+                    long start = System.nanoTime();
+                    SearchResponse resp = null;
+                    for (int j = 0; j < ITERS; ++j) {
+                        resp = client.prepareSearch(INDEX_NAME).setSize(0).addAggregation(percentiles("percentiles").field(field).method(method)).execute().actionGet();
+                    }
+                    long end = System.nanoTime();
+                    long memoryEstimate = 0;
+                    switch (method) {
+                    case TDIGEST:
+                        memoryEstimate = ((InternalTDigestPercentiles) resp.getAggregations().get("percentiles"))
+                                .getEstimatedMemoryFootprint();
+                        break;
+                    case HDR:
+                        memoryEstimate = ((InternalHDRPercentiles) resp.getAggregations().get("percentiles")).getEstimatedMemoryFootprint();
+                        break;
+                    }
+                    if (i >= WARM) {
+                        System.out.println((i - WARM) + "\t" + field + "\t" + method + "\t"
+                                + new TimeValue((end - start) / ITERS, TimeUnit.NANOSECONDS).millis() + "\t"
+                                + new SizeValue(memoryEstimate, SizeUnit.SINGLE).singles());
+                    }
+                }
+            }
+        }
+        long overallEndTime = System.currentTimeMillis();
+        System.out.println("Benchmark completed in " + ((overallEndTime - overallStartTime) / 1000) + " seconds");
+    }
+
+}

core/src/test/java/org/elasticsearch/search/aggregations/metrics/HDRPercentileRanksTests.java

@@ -0,0 +1,502 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics;
+
+import com.google.common.collect.Lists;
+
+import org.elasticsearch.action.search.SearchResponse;
+import org.elasticsearch.common.logging.Loggers;
+import org.elasticsearch.script.Script;
+import org.elasticsearch.script.ScriptService.ScriptType;
+import org.elasticsearch.search.aggregations.bucket.global.Global;
+import org.elasticsearch.search.aggregations.bucket.histogram.Histogram;
+import org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Order;
+import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.PercentileRanks;
+import org.elasticsearch.search.aggregations.metrics.percentiles.PercentilesMethod;
+import org.junit.Test;
+
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import static org.elasticsearch.index.query.QueryBuilders.matchAllQuery;
+import static org.elasticsearch.search.aggregations.AggregationBuilders.global;
+import static org.elasticsearch.search.aggregations.AggregationBuilders.histogram;
+import static org.elasticsearch.search.aggregations.AggregationBuilders.percentileRanks;
+import static org.hamcrest.Matchers.equalTo;
+import static org.hamcrest.Matchers.greaterThanOrEqualTo;
+import static org.hamcrest.Matchers.lessThanOrEqualTo;
+import static org.hamcrest.Matchers.notNullValue;
+import static org.hamcrest.Matchers.sameInstance;
+
+/**
+ *
+ */
+public class HDRPercentileRanksTests extends AbstractNumericTests {
+
+    private static double[] randomPercents(long minValue, long maxValue) {
+
+        final int length = randomIntBetween(1, 20);
+        final double[] percents = new double[length];
+        for (int i = 0; i < percents.length; ++i) {
+            switch (randomInt(20)) {
+            case 0:
+                percents[i] = minValue;
+                break;
+            case 1:
+                percents[i] = maxValue;
+                break;
+            default:
+                percents[i] = (randomDouble() * (maxValue - minValue)) + minValue;
+                break;
+            }
+        }
+        Arrays.sort(percents);
+        Loggers.getLogger(HDRPercentileRanksTests.class).info("Using percentiles={}", Arrays.toString(percents));
+        return percents;
+    }
+
+    private static int randomSignificantDigits() {
+        return randomIntBetween(0, 5);
+    }
+
+    private void assertConsistent(double[] pcts, PercentileRanks percentiles, long minValue, long maxValue, int numberSigDigits) {
+        final List<Percentile> percentileList = Lists.newArrayList(percentiles);
+        assertEquals(pcts.length, percentileList.size());
+        for (int i = 0; i < pcts.length; ++i) {
+            final Percentile percentile = percentileList.get(i);
+            assertThat(percentile.getValue(), equalTo(pcts[i]));
+            assertThat(percentile.getPercent(), greaterThanOrEqualTo(0.0));
+            assertThat(percentile.getPercent(), lessThanOrEqualTo(100.0));
+
+            if (percentile.getPercent() == 0) {
+                double allowedError = minValue / Math.pow(10, numberSigDigits);
+                assertThat(percentile.getValue(), lessThanOrEqualTo(minValue + allowedError));
+            }
+            if (percentile.getPercent() == 100) {
+                double allowedError = maxValue / Math.pow(10, numberSigDigits);
+                assertThat(percentile.getValue(), greaterThanOrEqualTo(maxValue - allowedError));
+            }
+        }
+
+        for (int i = 1; i < percentileList.size(); ++i) {
+            assertThat(percentileList.get(i).getValue(), greaterThanOrEqualTo(percentileList.get(i - 1).getValue()));
+        }
+    }
+
+    @Override
+    @Test
+    public void testEmptyAggregation() throws Exception {
+
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("empty_bucket_idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        histogram("histo")
+                                .field("value")
+                                .interval(1l)
+                                .minDocCount(0)
+                                .subAggregation(
+                                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR)
+                                                .numberOfSignificantValueDigits(sigDigits).percentiles(10, 15))).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(2l));
+        Histogram histo = searchResponse.getAggregations().get("histo");
+        assertThat(histo, notNullValue());
+        Histogram.Bucket bucket = histo.getBuckets().get(1);
+        assertThat(bucket, notNullValue());
+
+        PercentileRanks reversePercentiles = bucket.getAggregations().get("percentile_ranks");
+        assertThat(reversePercentiles, notNullValue());
+        assertThat(reversePercentiles.getName(), equalTo("percentile_ranks"));
+        assertThat(reversePercentiles.percent(10), equalTo(Double.NaN));
+        assertThat(reversePercentiles.percent(15), equalTo(Double.NaN));
+    }
+
+    @Override
+    @Test
+    public void testUnmapped() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx_unmapped")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("value").percentiles(0, 10, 15, 100)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(0l));
+
+        PercentileRanks reversePercentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertThat(reversePercentiles, notNullValue());
+        assertThat(reversePercentiles.getName(), equalTo("percentile_ranks"));
+        assertThat(reversePercentiles.percent(0), equalTo(Double.NaN));
+        assertThat(reversePercentiles.percent(10), equalTo(Double.NaN));
+        assertThat(reversePercentiles.percent(15), equalTo(Double.NaN));
+        assertThat(reversePercentiles.percent(100), equalTo(Double.NaN));
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(minValue, maxValue);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("value").percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValue, maxValue, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField_getProperty() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(minValue, maxValue);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        global("global").subAggregation(
+                                percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                        .field("value").percentiles(pcts))).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        Global global = searchResponse.getAggregations().get("global");
+        assertThat(global, notNullValue());
+        assertThat(global.getName(), equalTo("global"));
+        assertThat(global.getDocCount(), equalTo(10l));
+        assertThat(global.getAggregations(), notNullValue());
+        assertThat(global.getAggregations().asMap().size(), equalTo(1));
+
+        PercentileRanks percentiles = global.getAggregations().get("percentile_ranks");
+        assertThat(percentiles, notNullValue());
+        assertThat(percentiles.getName(), equalTo("percentile_ranks"));
+        assertThat((PercentileRanks) global.getProperty("percentile_ranks"), sameInstance(percentiles));
+
+    }
+
+    @Test
+    public void testSingleValuedFieldOutsideRange() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = new double[] { minValue - 1, maxValue + 1 };
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("value").percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValue, maxValue, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField_PartiallyUnmapped() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(minValue, maxValue);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx", "idx_unmapped")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("value").percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValue, maxValue, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField_WithValueScript() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(minValue - 1, maxValue - 1);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("value").script(new Script("_value - 1")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField_WithValueScript_WithParams() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercents(minValue - 1, maxValue - 1);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("value").script(new Script("_value - dec", ScriptType.INLINE, null, params)).percentiles(pcts))
+                .execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testMultiValuedField() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(minValues, maxValues);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("values").percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValues, maxValues, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testMultiValuedField_WithValueScript() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(minValues - 1, maxValues - 1);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("values").script(new Script("_value - 1")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValues - 1, maxValues - 1, sigDigits);
+    }
+
+    @Test
+    public void testMultiValuedField_WithValueScript_Reverse() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(20 - maxValues, 20 - minValues);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("values").script(new Script("20 - _value")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, 20 - maxValues, 20 - minValues, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testMultiValuedField_WithValueScript_WithParams() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercents(minValues - 1, maxValues - 1);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .field("values").script(new Script("_value - dec", ScriptType.INLINE, null, params)).percentiles(pcts))
+                .execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValues - 1, maxValues - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_SingleValued() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(minValue, maxValue);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .script(new Script("doc['value'].value")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValue, maxValue, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_SingleValued_WithParams() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercents(minValue - 1, maxValue - 1);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .script(new Script("doc['value'].value - dec", ScriptType.INLINE, null, params)).percentiles(pcts))
+                .execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_ExplicitSingleValued_WithParams() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercents(minValue - 1, maxValue - 1);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .script(new Script("doc['value'].value - dec", ScriptType.INLINE, null, params)).percentiles(pcts))
+                .execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_MultiValued() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(minValues, maxValues);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .script(new Script("doc['values'].values")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValues, maxValues, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_ExplicitMultiValued() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        final double[] pcts = randomPercents(minValues, maxValues);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                .script(new Script("doc['values'].values")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValues, maxValues, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_MultiValued_WithParams() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercents(minValues - 1, maxValues - 1);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentileRanks("percentile_ranks")
+                                .method(PercentilesMethod.HDR)
+                                .numberOfSignificantValueDigits(sigDigits)
+                                .script(new Script(
+                                        "List values = doc['values'].values; double[] res = new double[values.size()]; for (int i = 0; i < res.length; i++) { res[i] = values.get(i) - dec; }; return res;",
+                                        ScriptType.INLINE, null, params)).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final PercentileRanks percentiles = searchResponse.getAggregations().get("percentile_ranks");
+        assertConsistent(pcts, percentiles, minValues - 1, maxValues - 1, sigDigits);
+    }
+
+    @Test
+    public void testOrderBySubAggregation() {
+        int sigDigits = randomSignificantDigits();
+        boolean asc = randomBoolean();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        histogram("histo").field("value").interval(2l)
+                                .subAggregation(
+                                        percentileRanks("percentile_ranks").method(PercentilesMethod.HDR)
+                                                .numberOfSignificantValueDigits(sigDigits).percentiles(99))
+                                .order(Order.aggregation("percentile_ranks", "99", asc))).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        Histogram histo = searchResponse.getAggregations().get("histo");
+        double previous = asc ? Double.NEGATIVE_INFINITY : Double.POSITIVE_INFINITY;
+        for (Histogram.Bucket bucket : histo.getBuckets()) {
+            PercentileRanks percentiles = bucket.getAggregations().get("percentile_ranks");
+            double p99 = percentiles.percent(99);
+            if (asc) {
+                assertThat(p99, greaterThanOrEqualTo(previous));
+            } else {
+                assertThat(p99, lessThanOrEqualTo(previous));
+            }
+            previous = p99;
+        }
+    }
+
+}

core/src/test/java/org/elasticsearch/search/aggregations/metrics/HDRPercentilesTests.java

@@ -0,0 +1,489 @@
+/*
+ * Licensed to Elasticsearch under one or more contributor
+ * license agreements. See the NOTICE file distributed with
+ * this work for additional information regarding copyright
+ * ownership. Elasticsearch 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.elasticsearch.search.aggregations.metrics;
+
+import com.google.common.collect.Lists;
+
+import org.elasticsearch.action.search.SearchResponse;
+import org.elasticsearch.common.logging.Loggers;
+import org.elasticsearch.script.Script;
+import org.elasticsearch.script.ScriptService.ScriptType;
+import org.elasticsearch.search.aggregations.bucket.global.Global;
+import org.elasticsearch.search.aggregations.bucket.histogram.Histogram;
+import org.elasticsearch.search.aggregations.bucket.histogram.Histogram.Order;
+import org.elasticsearch.search.aggregations.metrics.percentiles.Percentile;
+import org.elasticsearch.search.aggregations.metrics.percentiles.Percentiles;
+import org.elasticsearch.search.aggregations.metrics.percentiles.PercentilesMethod;
+import org.junit.Test;
+
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import static org.elasticsearch.index.query.QueryBuilders.matchAllQuery;
+import static org.elasticsearch.search.aggregations.AggregationBuilders.global;
+import static org.elasticsearch.search.aggregations.AggregationBuilders.histogram;
+import static org.elasticsearch.search.aggregations.AggregationBuilders.percentiles;
+import static org.hamcrest.Matchers.closeTo;
+import static org.hamcrest.Matchers.equalTo;
+import static org.hamcrest.Matchers.greaterThanOrEqualTo;
+import static org.hamcrest.Matchers.lessThanOrEqualTo;
+import static org.hamcrest.Matchers.notNullValue;
+import static org.hamcrest.Matchers.sameInstance;
+
+/**
+ *
+ */
+public class HDRPercentilesTests extends AbstractNumericTests {
+
+    private static double[] randomPercentiles() {
+        final int length = randomIntBetween(1, 20);
+        final double[] percentiles = new double[length];
+        for (int i = 0; i < percentiles.length; ++i) {
+            switch (randomInt(20)) {
+            case 0:
+                percentiles[i] = 0;
+                break;
+            case 1:
+                percentiles[i] = 100;
+                break;
+            default:
+                percentiles[i] = randomDouble() * 100;
+                break;
+            }
+        }
+        Arrays.sort(percentiles);
+        Loggers.getLogger(HDRPercentilesTests.class).info("Using percentiles={}", Arrays.toString(percentiles));
+        return percentiles;
+    }
+
+    private static int randomSignificantDigits() {
+        return randomIntBetween(0, 5);
+    }
+
+    private void assertConsistent(double[] pcts, Percentiles percentiles, long minValue, long maxValue, int numberSigDigits) {
+        final List<Percentile> percentileList = Lists.newArrayList(percentiles);
+        assertEquals(pcts.length, percentileList.size());
+        for (int i = 0; i < pcts.length; ++i) {
+            final Percentile percentile = percentileList.get(i);
+            assertThat(percentile.getPercent(), equalTo(pcts[i]));
+            double value = percentile.getValue();
+            double allowedError = value / Math.pow(10, numberSigDigits);
+            assertThat(value, greaterThanOrEqualTo(minValue - allowedError));
+            assertThat(value, lessThanOrEqualTo(maxValue + allowedError));
+
+            if (percentile.getPercent() == 0) {
+                assertThat(value, closeTo(minValue, allowedError));
+            }
+            if (percentile.getPercent() == 100) {
+                assertThat(value, closeTo(maxValue, allowedError));
+            }
+        }
+
+        for (int i = 1; i < percentileList.size(); ++i) {
+            assertThat(percentileList.get(i).getValue(), greaterThanOrEqualTo(percentileList.get(i - 1).getValue()));
+        }
+    }
+
+    @Override
+    @Test
+    public void testEmptyAggregation() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("empty_bucket_idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        histogram("histo")
+                                .field("value")
+                                .interval(1l)
+                                .minDocCount(0)
+                                .subAggregation(
+                                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR)
+                                                .percentiles(10,
+                                                15))).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(2l));
+        Histogram histo = searchResponse.getAggregations().get("histo");
+        assertThat(histo, notNullValue());
+        Histogram.Bucket bucket = histo.getBuckets().get(1);
+        assertThat(bucket, notNullValue());
+
+        Percentiles percentiles = bucket.getAggregations().get("percentiles");
+        assertThat(percentiles, notNullValue());
+        assertThat(percentiles.getName(), equalTo("percentiles"));
+        assertThat(percentiles.percentile(10), equalTo(Double.NaN));
+        assertThat(percentiles.percentile(15), equalTo(Double.NaN));
+    }
+
+    @Override
+    @Test
+    public void testUnmapped() throws Exception {
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx_unmapped")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR).field("value")
+                                .percentiles(0, 10, 15, 100)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(0l));
+
+        Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertThat(percentiles, notNullValue());
+        assertThat(percentiles.getName(), equalTo("percentiles"));
+        assertThat(percentiles.percentile(0), equalTo(Double.NaN));
+        assertThat(percentiles.percentile(10), equalTo(Double.NaN));
+        assertThat(percentiles.percentile(15), equalTo(Double.NaN));
+        assertThat(percentiles.percentile(100), equalTo(Double.NaN));
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomIntBetween(1, 5);
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR).field("value")
+                                .percentiles(pcts))
+                .execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValue, maxValue, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField_getProperty() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        global("global").subAggregation(
+                                percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR)
+                                        .field("value")
+                                        .percentiles(pcts))).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        Global global = searchResponse.getAggregations().get("global");
+        assertThat(global, notNullValue());
+        assertThat(global.getName(), equalTo("global"));
+        assertThat(global.getDocCount(), equalTo(10l));
+        assertThat(global.getAggregations(), notNullValue());
+        assertThat(global.getAggregations().asMap().size(), equalTo(1));
+
+        Percentiles percentiles = global.getAggregations().get("percentiles");
+        assertThat(percentiles, notNullValue());
+        assertThat(percentiles.getName(), equalTo("percentiles"));
+        assertThat((Percentiles) global.getProperty("percentiles"), sameInstance(percentiles));
+
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField_PartiallyUnmapped() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx", "idx_unmapped")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR).field("value")
+                                .percentiles(pcts))
+                .execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValue, maxValue, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField_WithValueScript() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR).field("value")
+                                .script(new Script("_value - 1")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testSingleValuedField_WithValueScript_WithParams() throws Exception {
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR).field("value")
+                                .script(new Script("_value - dec", ScriptType.INLINE, null, params)).percentiles(pcts)).execute()
+                .actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testMultiValuedField() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR).field("values")
+                                .percentiles(pcts))
+                .execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValues, maxValues, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testMultiValuedField_WithValueScript() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR).field("values")
+                                .script(new Script("_value - 1")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValues - 1, maxValues - 1, sigDigits);
+    }
+
+    @Test
+    public void testMultiValuedField_WithValueScript_Reverse() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR).field("values")
+                                .script(new Script("20 - _value")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, 20 - maxValues, 20 - minValues, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testMultiValuedField_WithValueScript_WithParams() throws Exception {
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR).field("values")
+                                .script(new Script("_value - dec", ScriptType.INLINE, null, params)).percentiles(pcts)).execute()
+                .actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValues - 1, maxValues - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_SingleValued() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR)
+                                .script(new Script("doc['value'].value")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValue, maxValue, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_SingleValued_WithParams() throws Exception {
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR)
+                                .script(new Script("doc['value'].value - dec", ScriptType.INLINE, null, params)).percentiles(pcts))
+                .execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_ExplicitSingleValued_WithParams() throws Exception {
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR)
+                                .script(new Script("doc['value'].value - dec", ScriptType.INLINE, null, params)).percentiles(pcts))
+                .execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValue - 1, maxValue - 1, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_MultiValued() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR)
+                                .script(new Script("doc['values'].values")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValues, maxValues, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_ExplicitMultiValued() throws Exception {
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles").numberOfSignificantValueDigits(sigDigits).method(PercentilesMethod.HDR)
+                                .script(new Script("doc['values'].values")).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValues, maxValues, sigDigits);
+    }
+
+    @Override
+    @Test
+    public void testScript_MultiValued_WithParams() throws Exception {
+        Map<String, Object> params = new HashMap<>();
+        params.put("dec", 1);
+        final double[] pcts = randomPercentiles();
+        int sigDigits = randomSignificantDigits();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        percentiles("percentiles")
+                                .numberOfSignificantValueDigits(sigDigits)
+                                .method(PercentilesMethod.HDR)
+                                .script(new Script(
+                                        "List values = doc['values'].values; double[] res = new double[values.size()]; for (int i = 0; i < res.length; i++) { res[i] = values.get(i) - dec; }; return res;",
+                                        ScriptType.INLINE, null, params)).percentiles(pcts)).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        final Percentiles percentiles = searchResponse.getAggregations().get("percentiles");
+        assertConsistent(pcts, percentiles, minValues - 1, maxValues - 1, sigDigits);
+    }
+
+    @Test
+    public void testOrderBySubAggregation() {
+        int sigDigits = randomSignificantDigits();
+        boolean asc = randomBoolean();
+        SearchResponse searchResponse = client()
+                .prepareSearch("idx")
+                .setQuery(matchAllQuery())
+                .addAggregation(
+                        histogram("histo").field("value").interval(2l)
+                                .subAggregation(
+                                        percentiles("percentiles").method(PercentilesMethod.HDR).numberOfSignificantValueDigits(sigDigits)
+                                                .percentiles(99))
+                                .order(Order.aggregation("percentiles", "99", asc))).execute().actionGet();
+
+        assertThat(searchResponse.getHits().getTotalHits(), equalTo(10l));
+
+        Histogram histo = searchResponse.getAggregations().get("histo");
+        double previous = asc ? Double.NEGATIVE_INFINITY : Double.POSITIVE_INFINITY;
+        for (Histogram.Bucket bucket : histo.getBuckets()) {
+            Percentiles percentiles = bucket.getAggregations().get("percentiles");
+            double p99 = percentiles.percentile(99);
+            if (asc) {
+                assertThat(p99, greaterThanOrEqualTo(previous));
+            } else {
+                assertThat(p99, lessThanOrEqualTo(previous));
+            }
+            previous = p99;
+        }
+    }
+
+}

core/src/test/java/org/elasticsearch/search/aggregations/metrics/TDigestPercentileRanksTests.java

@@ -50,7 +50,7 @@ import static org.hamcrest.Matchers.sameInstance;
 /**
  *
  */
-public class PercentileRanksTests extends AbstractNumericTests {
+public class TDigestPercentileRanksTests extends AbstractNumericTests {
 
     private static double[] randomPercents(long minValue, long maxValue) {
 
@@ -70,7 +70,7 @@ public class PercentileRanksTests extends AbstractNumericTests {
             }
         }
         Arrays.sort(percents);
-        Loggers.getLogger(PercentileRanksTests.class).info("Using percentiles={}", Arrays.toString(percents));
+        Loggers.getLogger(TDigestPercentileRanksTests.class).info("Using percentiles={}", Arrays.toString(percents));
         return percents;
     }
 

core/src/test/java/org/elasticsearch/search/aggregations/metrics/TDigestPercentilesTests.java

@@ -50,7 +50,7 @@ import static org.hamcrest.Matchers.sameInstance;
 /**
  *
  */
-public class PercentilesTests extends AbstractNumericTests {
+public class TDigestPercentilesTests extends AbstractNumericTests {
 
     private static double[] randomPercentiles() {
         final int length = randomIntBetween(1, 20);
@@ -69,7 +69,7 @@ public class PercentilesTests extends AbstractNumericTests {
             }
         }
         Arrays.sort(percentiles);
-        Loggers.getLogger(PercentilesTests.class).info("Using percentiles={}", Arrays.toString(percentiles));
+        Loggers.getLogger(TDigestPercentilesTests.class).info("Using percentiles={}", Arrays.toString(percentiles));
         return percentiles;
     }
 

docs/reference/aggregations/metrics/percentile-aggregation.asciidoc

@@ -213,6 +213,40 @@ of data which arrives sorted and in-order) the default settings will produce a
 TDigest roughly 64KB in size.  In practice data tends to be more random and
 the TDigest will use less memory.
 
+==== HDR Histogram
+
+experimental[]
+
+https://github.com/HdrHistogram/HdrHistogram[HDR Histogram] (High Dynamic Range Histogram) is an alternative implementation 
+that can be useful when calculating percentiles for latency measurements as it can be faster than the t-digest implementation 
+with the trade-off of a larger memory footprint. This implementation maintains a fixed worse-case percentage error (specified 
+as a number of significant digits). This means that if data is recorded with values from 1 microsecond up to 1 hour 
+(3,600,000,000 microseconds) in a histogram set to 3 significant digits, it will maintain a value resolution of 1 microsecond 
+for values up to 1 millisecond and 3.6 seconds (or better) for the maximum tracked value (1 hour).
+
+The HDR Histogram can be used by specifying the `method` parameter in the request:
+
+[source,js]
+--------------------------------------------------
+{
+    "aggs" : {
+        "load_time_outlier" : {
+            "percentiles" : {
+                "field" : "load_time",
+                "percents" : [95, 99, 99.9],
+                "method" : "hdr", <1>
+                "number_of_significant_value_digits" : 3 <2>
+            }
+        }
+    }
+}
+--------------------------------------------------
+<1> The `method` parameter is set to `hdr` to indicate that HDR Histogram should be used to calculate the percentiles
+<2> `number_of_significant_value_digits` specifies the resolution of values for the histogram in number of significant digits
+
+The HDRHistogram only supports positive values and will error if it is passed a negative value. It is also not a good idea to use 
+the HDRHistogram if the range of values is unknown as this could lead to high memory usage.
+
 ==== Missing value
 
 The `missing` parameter defines how documents that are missing a value should be treated.

docs/reference/aggregations/metrics/percentile-rank-aggregation.asciidoc

@@ -110,6 +110,40 @@ This will interpret the `script` parameter as an `inline` script with the defaul
 
 TIP: for indexed scripts replace the `file` parameter with an `id` parameter.
 
+==== HDR Histogram
+
+experimental[]
+
+https://github.com/HdrHistogram/HdrHistogram[HDR Histogram] (High Dynamic Range Histogram) is an alternative implementation 
+that can be useful when calculating percentile ranks for latency measurements as it can be faster than the t-digest implementation 
+with the trade-off of a larger memory footprint. This implementation maintains a fixed worse-case percentage error (specified as a 
+number of significant digits). This means that if data is recorded with values from 1 microsecond up to 1 hour (3,600,000,000 
+microseconds) in a histogram set to 3 significant digits, it will maintain a value resolution of 1 microsecond for values up to 
+1 millisecond and 3.6 seconds (or better) for the maximum tracked value (1 hour).
+
+The HDR Histogram can be used by specifying the `method` parameter in the request:
+
+[source,js]
+--------------------------------------------------
+{
+    "aggs" : {
+        "load_time_outlier" : {
+            "percentile_ranks" : {
+                "field" : "load_time",
+                "values" : [15, 30],
+                "method" : "hdr", <1>
+                "number_of_significant_value_digits" : 3 <2>
+            }
+        }
+    }
+}
+--------------------------------------------------
+<1> The `method` parameter is set to `hdr` to indicate that HDR Histogram should be used to calculate the percentile_ranks
+<2> `number_of_significant_value_digits` specifies the resolution of values for the histogram in number of significant digits
+
+The HDRHistogram only supports positive values and will error if it is passed a negative value. It is also not a good idea to use 
+the HDRHistogram if the range of values is unknown as this could lead to high memory usage.
+
 ==== Missing value
 
 The `missing` parameter defines how documents that are missing a value should be treated.

pom.xml

@@ -394,6 +394,12 @@
                 <version>3.0</version>
             </dependency>
 
+            <dependency>
+                <groupId>org.hdrhistogram</groupId>
+                <artifactId>HdrHistogram</artifactId>
+                <version>2.1.5</version>
+            </dependency>
+
             <dependency>
                 <groupId>org.apache.commons</groupId>
                 <artifactId>commons-lang3</artifactId>