opensearch-project · jainankitk · Jan 28, 2025 · Jan 8, 2025 · Jan 14, 2025 · Jan 14, 2025
@@ -117,6 +117,7 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 - Fix GRPC AUX_TRANSPORT_PORT and SETTING_GRPC_PORT settings and remove lingering HTTP terminology ([#17037](https://github.com/opensearch-project/OpenSearch/pull/17037))
 - Fix exists queries on nested flat_object fields throws exception ([#16803](https://github.com/opensearch-project/OpenSearch/pull/16803))
 - Use OpenSearch version to deserialize remote custom metadata([#16494](https://github.com/opensearch-project/OpenSearch/pull/16494))
+- Fix AutoDateHistogramAggregator rounding assertion failure ([#17023](https://github.com/opensearch-project/OpenSearch/pull/17023))
 
 ### Security
 

@@ -668,6 +668,11 @@ public String toString() {
             return "Rounding[" + unit + " in " + timeZone + "]";
         }
 
+        @Override
+        public boolean isUTC() {
+            return "Z".equals(timeZone.getDisplayName(TextStyle.FULL, Locale.ENGLISH));
+        }
+
         private abstract class TimeUnitPreparedRounding extends PreparedRounding {
             @Override
             public double roundingSize(long utcMillis, DateTimeUnit timeUnit) {
@@ -1045,6 +1050,11 @@ public String toString() {
             return "Rounding[" + interval + " in " + timeZone + "]";
         }
 
+        @Override
+        public boolean isUTC() {
+            return "Z".equals(timeZone.getDisplayName(TextStyle.FULL, Locale.ENGLISH));
+        }
+
         private long roundKey(long value, long interval) {
             if (value < 0) {
                 return (value - interval + 1) / interval;
@@ -1364,6 +1374,11 @@ public boolean equals(Object obj) {
         public String toString() {
             return delegate + " offset by " + offset;
         }
+
+        @Override
+        public boolean isUTC() {
+            return delegate.isUTC();
+        }
     }
 
     public static Rounding read(StreamInput in) throws IOException {
@@ -1391,16 +1406,8 @@ public static OptionalLong getInterval(Rounding rounding) {
 
         if (rounding instanceof TimeUnitRounding) {
             interval = (((TimeUnitRounding) rounding).unit).extraLocalOffsetLookup();
-            if (!isUTCTimeZone(((TimeUnitRounding) rounding).timeZone)) {
-                // Fast filter aggregation cannot be used if it needs time zone rounding
-                return OptionalLong.empty();
-            }
         } else if (rounding instanceof TimeIntervalRounding) {
             interval = ((TimeIntervalRounding) rounding).interval;
-            if (!isUTCTimeZone(((TimeIntervalRounding) rounding).timeZone)) {
-                // Fast filter aggregation cannot be used if it needs time zone rounding
-                return OptionalLong.empty();
-            }
         } else {
             return OptionalLong.empty();
         }
@@ -1412,7 +1419,5 @@ public static OptionalLong getInterval(Rounding rounding) {
      * Helper function for checking if the time zone requested for date histogram
      * aggregation is utc or not
      */
-    private static boolean isUTCTimeZone(final ZoneId zoneId) {
-        return "Z".equals(zoneId.getDisplayName(TextStyle.FULL, Locale.ENGLISH));
-    }
+    public abstract boolean isUTC();
 }
@@ -286,6 +286,10 @@
             return parser;
         }
 
+        public ZoneId getZoneId() {
+            return timeZone;
+        }
+
         @Override
         public String format(long value) {
             return formatter.format(resolution.toInstant(value).atZone(timeZone));

@@ -182,6 +182,14 @@ protected boolean canOptimize() {
                         });
                     }
 
+                    /**
+                     * The filter rewrite optimized path does not support bucket intervals which are not fixed.
+                     * For this reason we exclude non UTC timezones.
+                     */
+                    if (valuesSource.getRounding().isUTC() == false) {
+                        return false;
+                    }
+
                     // bucketOrds is used for saving the date histogram results got from the optimization path
                     bucketOrds = LongKeyedBucketOrds.build(context.bigArrays(), CardinalityUpperBound.ONE);
                     return true;

@@ -32,7 +32,15 @@ public abstract class DateHistogramAggregatorBridge extends AggregatorBridge {
 
     int maxRewriteFilters;
 
-    protected boolean canOptimize(ValuesSourceConfig config) {
+    protected boolean canOptimize(ValuesSourceConfig config, Rounding rounding) {
+        /**
+         * The filter rewrite optimized path does not support bucket intervals which are not fixed.
+         * For this reason we exclude non UTC timezones.
+         */
+        if (rounding.isUTC() == false) {
+            return false;
+        }
+
         if (config.script() == null && config.missing() == null) {
             MappedFieldType fieldType = config.fieldType();
             if (fieldType instanceof DateFieldMapper.DateFieldType) {

@@ -149,7 +149,6 @@ private AutoDateHistogramAggregator(
         Aggregator parent,
         Map<String, Object> metadata
     ) throws IOException {
-
         super(name, factories, aggregationContext, parent, metadata);
         this.targetBuckets = targetBuckets;
         // TODO: Remove null usage here, by using a different aggregator for create
@@ -162,22 +161,34 @@ private AutoDateHistogramAggregator(
         DateHistogramAggregatorBridge bridge = new DateHistogramAggregatorBridge() {
             @Override
             protected boolean canOptimize() {
-                return canOptimize(valuesSourceConfig);
+                return canOptimize(valuesSourceConfig, roundingInfos[0].rounding);
             }
 
             @Override
             protected void prepare() throws IOException {
                 buildRanges(context);
             }
 
+            /**
+             * The filter rewrite optimization uses this method to pre-emptively update the preparedRounding
+             * when considering the optimized path for a single segment. This is necessary since the optimized path
+             * skips doc collection entirely which is where the preparedRounding is normally updated.
+             *
+             * @param low lower bound of rounding to prepare
+             * @param high upper bound of rounding to prepare
+             * @return select a prepared rounding which satisfies the conditions:
+             * 1. Is at least as large as our previously prepared rounding
+             * 2. Must span a range of [low, high] with buckets <= targetBuckets
+             */
             @Override
             protected Rounding getRounding(final long low, final long high) {
                 // max - min / targetBuckets = bestDuration
                 // find the right innerInterval this bestDuration belongs to
                 // since we cannot exceed targetBuckets, bestDuration should go up,
                 // so the right innerInterval should be an upper bound
                 long bestDuration = (high - low) / targetBuckets;
-                // reset so this function is idempotent
+
+                int prevRoundingIdx = roundingIdx;
                 roundingIdx = 0;
                 while (roundingIdx < roundingInfos.length - 1) {
                     final RoundingInfo curRoundingInfo = roundingInfos[roundingIdx];
@@ -190,7 +201,11 @@ protected Rounding getRounding(final long low, final long high) {
                     roundingIdx++;
                 }
 
-                preparedRounding = prepareRounding(roundingIdx);
+                // Ensure preparedRounding never shrinks
+                if (roundingIdx > prevRoundingIdx) {
+                    preparedRounding = prepareRounding(roundingIdx);
+                }
+
                 return roundingInfos[roundingIdx].rounding;
             }
 
@@ -403,12 +418,39 @@ private void collectValue(int doc, long rounded) throws IOException {
                     increaseRoundingIfNeeded(rounded);
                 }
 
+                /**
+                 * Examine our current bucket count and the most recently added bucket to determine if an update to
+                 * preparedRounding is required to keep total bucket count in compliance with targetBuckets.
+                 *
+                 * @param rounded the most recently collected value rounded
+                 */
                 private void increaseRoundingIfNeeded(long rounded) {
+                    // If we are already using the rounding with the largest interval nothing can be done
                     if (roundingIdx >= roundingInfos.length - 1) {
                         return;
                     }
+
+                    // Re calculate the max and min values we expect to bucket according to most recently rounded val
                     min = Math.min(min, rounded);
                     max = Math.max(max, rounded);
+
+                    /**
+                     * Quick explanation of the two below conditions:
+                     *
+                     * 1. [targetBuckets * roundingInfos[roundingIdx].getMaximumInnerInterval()]
+                     * Represents the total bucket count possible before we will exceed targetBuckets
+                     * even if we use the maximum inner interval of our current rounding. For example, consider the
+                     * DAYS_OF_MONTH rounding where the maximum inner interval is 7 days (i.e. 1 week buckets).
+                     * targetBuckets * roundingInfos[roundingIdx].getMaximumInnerInterval() would then be the number of
+                     * 1 day buckets possible such that if we re-bucket to 1 week buckets we will have more 1 week buckets
+                     * than our targetBuckets limit. If the current count of buckets exceeds this limit we must update
+                     * our rounding.
+                     *
+                     * 2. [targetBuckets * roundingInfos[roundingIdx].getMaximumRoughEstimateDurationMillis()]
+                     * The total duration of ms covered by our current rounding. In the case of MINUTES_OF_HOUR rounding
+                     * getMaximumRoughEstimateDurationMillis is 60000. If our current total range in millis (max - min)
+                     * exceeds this range we must update our rounding.
+                     */
                     if (bucketOrds.size() <= targetBuckets * roundingInfos[roundingIdx].getMaximumInnerInterval()
                         && max - min <= targetBuckets * roundingInfos[roundingIdx].getMaximumRoughEstimateDurationMillis()) {
                         return;

@@ -143,7 +143,7 @@ class DateHistogramAggregator extends BucketsAggregator implements SizedBucketAg
         DateHistogramAggregatorBridge bridge = new DateHistogramAggregatorBridge() {
             @Override
             protected boolean canOptimize() {
-                return canOptimize(valuesSourceConfig);
+                return canOptimize(valuesSourceConfig, rounding);
             }
 
             @Override

@@ -38,7 +38,9 @@
 import org.apache.lucene.document.SortedSetDocValuesField;
 import org.apache.lucene.index.DirectoryReader;
 import org.apache.lucene.index.IndexReader;
+import org.apache.lucene.index.IndexWriterConfig;
 import org.apache.lucene.index.IndexableField;
+import org.apache.lucene.index.NoMergePolicy;
 import org.apache.lucene.search.IndexSearcher;
 import org.apache.lucene.search.MatchAllDocsQuery;
 import org.apache.lucene.search.MatchNoDocsQuery;
@@ -72,6 +74,7 @@
 import java.time.Instant;
 import java.time.LocalDate;
 import java.time.YearMonth;
+import java.time.ZoneId;
 import java.time.ZoneOffset;
 import java.time.ZonedDateTime;
 import java.util.ArrayList;
@@ -912,6 +915,58 @@ public void testWithPipelineReductions() throws IOException {
         );
     }
 
+    // Bugfix: https://github.com/opensearch-project/OpenSearch/issues/16932
+    public void testFilterRewriteWithTZRoundingRangeAssert() throws IOException {
+        /*
+        multiBucketIndexData must overlap with DST to produce a 'LinkedListLookup' prepared rounding.
+        This lookup rounding style maintains a strict max/min input range and will assert each value is in range.
+         */
+        final List<ZonedDateTime> multiBucketIndexData = Arrays.asList(
+            ZonedDateTime.of(2023, 10, 10, 0, 0, 0, 0, ZoneOffset.UTC),
+            ZonedDateTime.of(2023, 11, 11, 0, 0, 0, 0, ZoneOffset.UTC)
+        );
+
+        final List<ZonedDateTime> singleBucketIndexData = Arrays.asList(ZonedDateTime.of(2023, 12, 27, 0, 0, 0, 0, ZoneOffset.UTC));
+
+        try (Directory directory = newDirectory()) {
+            /*
+            Ensure we produce two segments on one shard such that the documents in seg 1 will be out of range of the
+            prepared rounding produced by the filter rewrite optimization considering seg 2 for optimized path.
+            */
+            IndexWriterConfig c = newIndexWriterConfig().setMergePolicy(NoMergePolicy.INSTANCE);
+            try (RandomIndexWriter indexWriter = new RandomIndexWriter(random(), directory, c)) {
+                indexSampleData(multiBucketIndexData, indexWriter);
+                indexWriter.flush();
+                indexSampleData(singleBucketIndexData, indexWriter);
+            }
+
+            try (IndexReader indexReader = DirectoryReader.open(directory)) {
+                final IndexSearcher indexSearcher = newSearcher(indexReader, true, true);
+
+                // Force agg to update rounding when it begins collecting from the second segment.
+                final AutoDateHistogramAggregationBuilder aggregationBuilder = new AutoDateHistogramAggregationBuilder("_name");
+                aggregationBuilder.setNumBuckets(3).field(DATE_FIELD).timeZone(ZoneId.of("America/New_York"));
+
+                Map<String, Integer> expectedDocCount = new TreeMap<>();
+                expectedDocCount.put("2023-10-01T00:00:00.000-04:00", 1);
+                expectedDocCount.put("2023-11-01T00:00:00.000-04:00", 1);
+                expectedDocCount.put("2023-12-01T00:00:00.000-05:00", 1);
+
+                final InternalAutoDateHistogram histogram = searchAndReduce(
+                    indexSearcher,
+                    DEFAULT_QUERY,
+                    aggregationBuilder,
+                    false,
+                    new DateFieldMapper.DateFieldType(aggregationBuilder.field()),
+                    new NumberFieldMapper.NumberFieldType(INSTANT_FIELD, NumberFieldMapper.NumberType.LONG),
+                    new NumberFieldMapper.NumberFieldType(NUMERIC_FIELD, NumberFieldMapper.NumberType.LONG)
+                );
+
+                assertThat(bucketCountsAsMap(histogram), equalTo(expectedDocCount));
+            }
+        }
+    }
+
     @Override
     protected IndexSettings createIndexSettings() {
         final Settings nodeSettings = Settings.builder().put("search.max_buckets", 25000).build();

@@ -611,9 +611,19 @@ protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduc
         IndexSearcher searcher,
         Query query,
         AggregationBuilder builder,
+        boolean shardFanOut,
         MappedFieldType... fieldTypes
     ) throws IOException {
-        return searchAndReduce(createIndexSettings(), searcher, query, builder, DEFAULT_MAX_BUCKETS, fieldTypes);
+        return searchAndReduce(createIndexSettings(), searcher, query, builder, DEFAULT_MAX_BUCKETS, shardFanOut, fieldTypes);
+    }
+
+    protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduce(
+        IndexSearcher searcher,
+        Query query,
+        AggregationBuilder builder,
+        MappedFieldType... fieldTypes
+    ) throws IOException {
+        return searchAndReduce(createIndexSettings(), searcher, query, builder, DEFAULT_MAX_BUCKETS, randomBoolean(), fieldTypes);
     }
 
     protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduce(
@@ -623,7 +633,7 @@ protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduc
         AggregationBuilder builder,
         MappedFieldType... fieldTypes
     ) throws IOException {
-        return searchAndReduce(indexSettings, searcher, query, builder, DEFAULT_MAX_BUCKETS, fieldTypes);
+        return searchAndReduce(indexSettings, searcher, query, builder, DEFAULT_MAX_BUCKETS, randomBoolean(), fieldTypes);
     }
 
     protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduce(
@@ -633,7 +643,7 @@ protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduc
         int maxBucket,
         MappedFieldType... fieldTypes
     ) throws IOException {
-        return searchAndReduce(createIndexSettings(), searcher, query, builder, maxBucket, fieldTypes);
+        return searchAndReduce(createIndexSettings(), searcher, query, builder, maxBucket, randomBoolean(), fieldTypes);
     }
 
     protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduce(
@@ -642,9 +652,10 @@ protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduc
         Query query,
         AggregationBuilder builder,
         int maxBucket,
+        boolean shardFanOut,
         MappedFieldType... fieldTypes
     ) throws IOException {
-        return searchAndReduce(indexSettings, searcher, query, builder, maxBucket, false, fieldTypes);
+        return searchAndReduce(indexSettings, searcher, query, builder, maxBucket, false, shardFanOut, fieldTypes);
     }
 
     /**
@@ -662,6 +673,7 @@ protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduc
         AggregationBuilder builder,
         int maxBucket,
         boolean hasNested,
+        boolean shardFanOut,
         MappedFieldType... fieldTypes
     ) throws IOException {
         final IndexReaderContext ctx = searcher.getTopReaderContext();
@@ -677,7 +689,7 @@ protected <A extends InternalAggregation, C extends Aggregator> A searchAndReduc
         );
         C root = createAggregator(query, builder, searcher, bucketConsumer, fieldTypes);
 
-        if (randomBoolean() && searcher.getIndexReader().leaves().size() > 0) {
+        if (shardFanOut && searcher.getIndexReader().leaves().size() > 0) {
             assertThat(ctx, instanceOf(CompositeReaderContext.class));
             final CompositeReaderContext compCTX = (CompositeReaderContext) ctx;
             final int size = compCTX.leaves().size();