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Decode max and min optimization more carefully #52336

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Feb 14, 2020
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Original file line number Diff line number Diff line change
Expand Up @@ -98,7 +98,7 @@ public LeafBucketCollector getLeafCollector(LeafReaderContext ctx,
if (pointConverter != null) {
Number segMax = findLeafMaxValue(ctx.reader(), pointField, pointConverter);
if (segMax != null) {
/**
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This was a javadoc comment in an invalid spot for javadoc.

/*
* There is no parent aggregator (see {@link MinAggregator#getPointReaderOrNull}
* so the ordinal for the bucket is always 0.
*/
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -103,7 +103,7 @@ public LeafBucketCollector getLeafCollector(LeafReaderContext ctx,
if (pointConverter != null) {
Number segMin = findLeafMinValue(ctx.reader(), pointField, pointConverter);
if (segMin != null) {
/**
/*
* There is no parent aggregator (see {@link MinAggregator#getPointReaderOrNull}
* so the ordinal for the bucket is always 0.
*/
Expand Down Expand Up @@ -190,7 +190,12 @@ static Function<byte[], Number> getPointReaderOrNull(SearchContext context, Aggr
if (fieldType instanceof NumberFieldMapper.NumberFieldType) {
converter = ((NumberFieldMapper.NumberFieldType) fieldType)::parsePoint;
} else if (fieldType.getClass() == DateFieldMapper.DateFieldType.class) {
converter = (in) -> LongPoint.decodeDimension(in, 0);
DateFieldMapper.DateFieldType dft = (DateFieldMapper.DateFieldType) fieldType;
/*
* Makes sure that nanoseconds decode to milliseconds, just
* like they do when you run the agg without the optimization.
*/
converter = (in) -> dft.resolution().toInstant(LongPoint.decodeDimension(in, 0)).toEpochMilli();
}
return converter;
}
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Original file line number Diff line number Diff line change
Expand Up @@ -46,13 +46,17 @@
import org.apache.lucene.search.TermQuery;
import org.apache.lucene.store.Directory;
import org.apache.lucene.util.BytesRef;
import org.elasticsearch.Version;
import org.elasticsearch.cluster.metadata.IndexMetaData;
import org.elasticsearch.common.CheckedConsumer;
import org.elasticsearch.common.collect.Tuple;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.index.IndexSettings;
import org.elasticsearch.index.mapper.ContentPath;
import org.elasticsearch.index.mapper.DateFieldMapper;
import org.elasticsearch.index.mapper.KeywordFieldMapper;
import org.elasticsearch.index.mapper.MappedFieldType;
import org.elasticsearch.index.mapper.Mapper;
import org.elasticsearch.index.mapper.MapperService;
import org.elasticsearch.index.mapper.NumberFieldMapper;
import org.elasticsearch.index.query.QueryShardContext;
Expand Down Expand Up @@ -87,17 +91,16 @@
import org.elasticsearch.search.lookup.LeafDocLookup;

import java.io.IOException;
import java.time.Instant;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.Comparator;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.function.BiFunction;
import java.util.function.Consumer;
import java.util.function.DoubleConsumer;
import java.util.function.Function;
import java.util.function.Supplier;

Expand Down Expand Up @@ -740,41 +743,54 @@ public void testShortcutIsApplicable() {
)
);
}
assertNotNull(
MinAggregator.getPointReaderOrNull(
mockSearchContext(new MatchAllDocsQuery()),
null,
mockDateValuesSourceConfig("number", true)
)
);
assertNull(
MinAggregator.getPointReaderOrNull(
mockSearchContext(new MatchAllDocsQuery()),
mockAggregator(),
mockDateValuesSourceConfig("number", true)
mockDateValuesSourceConfig("number", true, randomFrom(DateFieldMapper.Resolution.values()))
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I'm a little uncomfortable using a randomization for coverage here. I'd rather loop over the possible resolution values like we loop over the possible numeric types above.

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Sure!

)
);
assertNull(
MinAggregator.getPointReaderOrNull(
mockSearchContext(new TermQuery(new Term("foo", "bar"))),
null,
mockDateValuesSourceConfig("number", true)
mockDateValuesSourceConfig("number", true, randomFrom(DateFieldMapper.Resolution.values()))
)
);
assertNull(
MinAggregator.getPointReaderOrNull(
mockSearchContext(null),
mockAggregator(),
mockDateValuesSourceConfig("number", true)
mockDateValuesSourceConfig("number", true, randomFrom(DateFieldMapper.Resolution.values()))
)
);
assertNull(
MinAggregator.getPointReaderOrNull(
mockSearchContext(null),
null,
mockDateValuesSourceConfig("number", false)
mockDateValuesSourceConfig("number", false, randomFrom(DateFieldMapper.Resolution.values()))
)
);
// Check that we decode a dates "just like" the doc values instance.
Instant expected = Instant.from(DateFieldMapper.DEFAULT_DATE_TIME_FORMATTER.parse("2020-01-01T00:00:00Z"));
byte[] scratch = new byte[8];
LongPoint.encodeDimension(DateFieldMapper.Resolution.MILLISECONDS.convert(expected), scratch, 0);
assertThat(
MinAggregator.getPointReaderOrNull(
mockSearchContext(new MatchAllDocsQuery()),
null,
mockDateValuesSourceConfig("number", true, DateFieldMapper.Resolution.MILLISECONDS)
).apply(scratch), equalTo(expected.toEpochMilli())
);
LongPoint.encodeDimension(DateFieldMapper.Resolution.NANOSECONDS.convert(expected), scratch, 0);
assertThat(
MinAggregator.getPointReaderOrNull(
mockSearchContext(new MatchAllDocsQuery()),
null,
mockDateValuesSourceConfig("number", true, DateFieldMapper.Resolution.NANOSECONDS)
).apply(scratch), equalTo(expected.toEpochMilli())
);

}

public void testMinShortcutRandom() throws Exception {
Expand All @@ -799,21 +815,6 @@ public void testMinShortcutRandom() throws Exception {
(v) -> DoublePoint.decodeDimension(v, 0));
}

private void testMinCase(IndexSearcher searcher,
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This isn't used any more.

AggregationBuilder aggregationBuilder,
MappedFieldType ft,
DoubleConsumer testResult) throws IOException {
Collection<Query> queries = Arrays.asList(new MatchAllDocsQuery(), new DocValuesFieldExistsQuery(ft.name()));
for (Query query : queries) {
MinAggregator aggregator = createAggregator(query, aggregationBuilder, searcher, createIndexSettings(), ft);
aggregator.preCollection();
searcher.search(new MatchAllDocsQuery(), aggregator);
aggregator.postCollection();
InternalMin result = (InternalMin) aggregator.buildAggregation(0L);
testResult.accept(result.getValue());
}
}

private void testMinShortcutCase(Supplier<Number> randomNumber,
Function<Number, Field> pointFieldFunc,
Function<byte[], Number> pointConvertFunc) throws IOException {
Expand Down Expand Up @@ -889,12 +890,17 @@ private ValuesSourceConfig<ValuesSource.Numeric> mockNumericValuesSourceConfig(S
return config;
}

private ValuesSourceConfig<ValuesSource.Numeric> mockDateValuesSourceConfig(String fieldName, boolean indexed) {
private ValuesSourceConfig<ValuesSource.Numeric> mockDateValuesSourceConfig(String fieldName, boolean indexed,
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There is a ton more ceremony here because resolution is only set when you call build. Bleh.

DateFieldMapper.Resolution resolution) {
ValuesSourceConfig<ValuesSource.Numeric> config = mock(ValuesSourceConfig.class);
MappedFieldType ft = new DateFieldMapper.Builder(fieldName).fieldType();
ft.setName(fieldName);
ft.setIndexOptions(indexed ? IndexOptions.DOCS : IndexOptions.NONE);
ft.freeze();
Mapper.BuilderContext builderContext = new Mapper.BuilderContext(
Settings.builder().put(IndexMetaData.SETTING_VERSION_CREATED, Version.CURRENT).build(),
new ContentPath());
MappedFieldType ft = new DateFieldMapper.Builder(fieldName)
.index(indexed)
.withResolution(resolution)
.build(builderContext)
.fieldType();
when(config.fieldContext()).thenReturn(new FieldContext(fieldName, null, ft));
return config;
}
Expand Down