Harmonization and bug-fixing for selector and filter behavior on unknown types. (#9484)

* Harmonization and bug-fixing for selector and filter behavior on unknown types.

- Migrate ValueMatcherColumnSelectorStrategy to newer ColumnProcessorFactory
  system, and set defaultType COMPLEX so unknown types can be dynamically matched.
- Remove ValueGetters in favor of ColumnComparisonFilter doing its own thing.
- Switch various methods to use convertObjectToX when casting to numbers, rather
  than ad-hoc and inconsistent logic.
- Fix bug in RowBasedExpressionColumnValueSelector: isBindingArray should return
  true even for 0- or 1- element arrays.
- Adjust various javadocs.

* Add throwParseExceptions option to Rows.objectToNumber, switch back to that.

* Update tests.

* Adjust moment sketch tests.
This commit is contained in:
Gian Merlino 2020-03-10 07:15:57 -07:00 committed by GitHub
parent 8b9fe6f584
commit c6c2282b59
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
44 changed files with 1280 additions and 901 deletions

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@ -90,7 +90,7 @@ public class MapBasedRow implements Row
@Override
public Number getMetric(String metric)
{
return Rows.objectToNumber(metric, event.get(metric));
return Rows.objectToNumber(metric, event.get(metric), true);
}
@Override

View File

@ -35,6 +35,7 @@ import java.util.TreeMap;
import java.util.stream.Collectors;
/**
*
*/
public final class Rows
{
@ -75,25 +76,30 @@ public final class Rows
}
/**
* Convert an object to a number. Nulls are treated as zeroes unless
* druid.generic.useDefaultValueForNull is set to false.
* Convert an object to a number.
*
* @param name field name of the object being converted (may be used for exception messages)
* @param inputValue the actual object being converted
* If {@link NullHandling#replaceWithDefault()} is true, this method will never return null. If false, it will return
* {@link NullHandling#defaultLongValue()} instead of null.
*
* @return a number
* @param name field name of the object being converted (may be used for exception messages)
* @param inputValue the actual object being converted
* @param throwParseExceptions whether this method should throw a {@link ParseException} or use a default/null value
* when {@param inputValue} is not numeric
*
* @throws NullPointerException if the string is null
* @throws ParseException if the column cannot be converted to a number
* @return a Number; will not necessarily be the same type as {@param zeroClass}
*
* @throws ParseException if the input cannot be converted to a number and {@code throwParseExceptions} is true
*/
@Nullable
public static Number objectToNumber(final String name, final Object inputValue)
public static <T extends Number> Number objectToNumber(
final String name,
final Object inputValue,
final boolean throwParseExceptions
)
{
if (inputValue == null) {
return NullHandling.defaultLongValue();
}
if (inputValue instanceof Number) {
} else if (inputValue instanceof Number) {
return (Number) inputValue;
} else if (inputValue instanceof String) {
try {
@ -109,10 +115,18 @@ public final class Rows
}
}
catch (Exception e) {
throw new ParseException(e, "Unable to parse value[%s] for field[%s]", inputValue, name);
if (throwParseExceptions) {
throw new ParseException(e, "Unable to parse value[%s] for field[%s]", inputValue, name);
} else {
return NullHandling.defaultLongValue();
}
}
} else {
throw new ParseException("Unknown type[%s] for field[%s]", inputValue.getClass(), name);
if (throwParseExceptions) {
throw new ParseException("Unknown type[%s] for field[%s]", inputValue.getClass(), name);
} else {
return NullHandling.defaultLongValue();
}
}
}

View File

@ -131,8 +131,12 @@ public class MomentsSketchAggregatorTest extends InitializedNullHandlingTest
Assert.assertEquals(400.0, sketchObject.getPowerSums()[0], 1e-10);
MomentSketchWrapper sketchObjectWithNulls = (MomentSketchWrapper) row.get(1); // "sketchWithNulls"
// 23 null values, nulls at ingestion time are not replaced with default values for complex metrics inputs
Assert.assertEquals(377.0, sketchObjectWithNulls.getPowerSums()[0], 1e-10);
// 23 null values (377 when nulls are not replaced with default)
Assert.assertEquals(
NullHandling.replaceWithDefault() ? 400.0 : 377.0,
sketchObjectWithNulls.getPowerSums()[0],
1e-10
);
double[] quantilesArray = (double[]) row.get(2); // "quantiles"
Assert.assertEquals(0, quantilesArray[0], 0.05);
@ -146,12 +150,16 @@ public class MomentsSketchAggregatorTest extends InitializedNullHandlingTest
Assert.assertEquals(0.9969, maxValue, 0.0001);
double[] quantilesArrayWithNulls = (double[]) row.get(5); // "quantilesWithNulls"
Assert.assertEquals(5.0, quantilesArrayWithNulls[0], 0.05);
Assert.assertEquals(7.57, quantilesArrayWithNulls[1], 0.05);
Assert.assertEquals(NullHandling.replaceWithDefault() ? 0.0 : 5.0, quantilesArrayWithNulls[0], 0.05);
Assert.assertEquals(
NullHandling.replaceWithDefault() ? 7.721400294818661d : 7.57,
quantilesArrayWithNulls[1],
0.05
);
Assert.assertEquals(10.0, quantilesArrayWithNulls[2], 0.05);
Double minValueWithNulls = (Double) row.get(6); // "minWithNulls"
Assert.assertEquals(5.0164, minValueWithNulls, 0.0001);
Assert.assertEquals(NullHandling.replaceWithDefault() ? 0.0 : 5.0164, minValueWithNulls, 0.0001);
Double maxValueWithNulls = (Double) row.get(7); // "maxWithNulls"
Assert.assertEquals(9.9788, maxValueWithNulls, 0.0001);

View File

@ -536,10 +536,10 @@ public class ArrayOfDoublesSketchAggregationTest extends InitializedNullHandling
List<ResultRow> results = seq.toList();
Assert.assertEquals(1, results.size());
ResultRow row = results.get(0);
Assert.assertEquals("sketch", 30.0, (double) row.get(0), 0);
Assert.assertEquals("estimate", 30.0, (double) row.get(1), 0);
Assert.assertEquals("union", 30.0, (double) row.get(3), 0);
Assert.assertEquals("intersection", 30.0, (double) row.get(4), 0);
Assert.assertEquals("sketch", NullHandling.replaceWithDefault() ? 40.0 : 30.0, (double) row.get(0), 0);
Assert.assertEquals("estimate", NullHandling.replaceWithDefault() ? 40.0 : 30.0, (double) row.get(1), 0);
Assert.assertEquals("union", NullHandling.replaceWithDefault() ? 40.0 : 30.0, (double) row.get(3), 0);
Assert.assertEquals("intersection", NullHandling.replaceWithDefault() ? 40.0 : 30.0, (double) row.get(4), 0);
Assert.assertEquals("anotb", 0, (double) row.get(5), 0);
Object meansObj = row.get(6); // means
@ -548,20 +548,20 @@ public class ArrayOfDoublesSketchAggregationTest extends InitializedNullHandling
Assert.assertEquals(3, means.length);
Assert.assertEquals(1.0, means[0], 0);
Assert.assertEquals(2.0, means[1], 0);
Assert.assertEquals(3.0, means[2], 0.1);
Assert.assertEquals(NullHandling.replaceWithDefault() ? 2.25 : 3.0, means[2], 0.1);
Object obj = row.get(2); // quantiles-sketch
Assert.assertTrue(obj instanceof DoublesSketch);
DoublesSketch ds = (DoublesSketch) obj;
Assert.assertEquals(30, ds.getN());
Assert.assertEquals(NullHandling.replaceWithDefault() ? 40 : 30, ds.getN());
Assert.assertEquals(2.0, ds.getMinValue(), 0);
Assert.assertEquals(2.0, ds.getMaxValue(), 0);
Object objSketch2 = row.get(7); // quantiles-sketch-with-nulls
Assert.assertTrue(objSketch2 instanceof DoublesSketch);
DoublesSketch ds2 = (DoublesSketch) objSketch2;
Assert.assertEquals(30, ds2.getN());
Assert.assertEquals(3.0, ds2.getMinValue(), 0);
Assert.assertEquals(NullHandling.replaceWithDefault() ? 40 : 30, ds2.getN());
Assert.assertEquals(NullHandling.replaceWithDefault() ? 0.0 : 3.0, ds2.getMinValue(), 0);
Assert.assertEquals(3.0, ds2.getMaxValue(), 0);
}

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@ -70,11 +70,11 @@ public class ApproximateHistogramFoldingSerde extends ComplexMetricSerde
if (rawValue instanceof Collection) {
for (final Object next : ((Collection) rawValue)) {
if (next != null) {
h.offer(Rows.objectToNumber(metricName, next).floatValue());
h.offer(Rows.objectToNumber(metricName, next, true).floatValue());
}
}
} else {
h.offer(Rows.objectToNumber(metricName, rawValue).floatValue());
h.offer(Rows.objectToNumber(metricName, rawValue, true).floatValue());
}
return h;

View File

@ -110,7 +110,7 @@ public class FixedBucketsHistogramSerde extends ComplexMetricSerde
} else if (rawValue instanceof String) {
Number numberAttempt;
try {
numberAttempt = Rows.objectToNumber(metricName, rawValue);
numberAttempt = Rows.objectToNumber(metricName, rawValue, true);
FixedBucketsHistogram fbh = new FixedBucketsHistogram(
aggregatorFactory.getLowerLimit(),
aggregatorFactory.getUpperLimit(),

View File

@ -158,7 +158,7 @@ public class InputRowSerdeTest
Assert.assertEquals(5.0f, out.getMetric("m1out").floatValue(), 0.00001);
Assert.assertEquals(100L, out.getMetric("m2out"));
Assert.assertEquals(1, ((HyperLogLogCollector) out.getRaw("m3out")).estimateCardinality(), 0.001);
Assert.assertEquals(0L, out.getMetric("unparseable"));
Assert.assertEquals(NullHandling.defaultLongValue(), out.getMetric("unparseable"));
EasyMock.verify(mockedAggregator);
EasyMock.verify(mockedNullAggregator);

View File

@ -1,95 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.query.filter;
import org.apache.druid.query.monomorphicprocessing.RuntimeShapeInspector;
import org.apache.druid.segment.BaseDoubleColumnValueSelector;
import org.apache.druid.segment.DimensionHandlerUtils;
public class DoubleValueMatcherColumnSelectorStrategy
implements ValueMatcherColumnSelectorStrategy<BaseDoubleColumnValueSelector>
{
@Override
public ValueMatcher makeValueMatcher(final BaseDoubleColumnValueSelector selector, final String value)
{
final Double matchVal = DimensionHandlerUtils.convertObjectToDouble(value);
if (matchVal == null) {
return ValueMatcher.primitiveNullValueMatcher(selector);
}
final long matchValLongBits = Double.doubleToLongBits(matchVal);
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return false;
}
return Double.doubleToLongBits(selector.getDouble()) == matchValLongBits;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
}
};
}
@Override
public ValueMatcher makeValueMatcher(
final BaseDoubleColumnValueSelector selector,
DruidPredicateFactory predicateFactory
)
{
final DruidDoublePredicate predicate = predicateFactory.makeDoublePredicate();
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return predicate.applyNull();
}
return predicate.applyDouble(selector.getDouble());
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
inspector.visit("predicate", predicate);
}
};
}
@Override
public ValueGetter makeValueGetter(final BaseDoubleColumnValueSelector selector)
{
return () -> {
if (selector.isNull()) {
return null;
}
return new String[]{Double.toString(selector.getDouble())};
};
}
}

View File

@ -1,94 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.query.filter;
import org.apache.druid.query.monomorphicprocessing.RuntimeShapeInspector;
import org.apache.druid.segment.BaseFloatColumnValueSelector;
import org.apache.druid.segment.DimensionHandlerUtils;
public class FloatValueMatcherColumnSelectorStrategy
implements ValueMatcherColumnSelectorStrategy<BaseFloatColumnValueSelector>
{
@Override
public ValueMatcher makeValueMatcher(final BaseFloatColumnValueSelector selector, final String value)
{
final Float matchVal = DimensionHandlerUtils.convertObjectToFloat(value);
if (matchVal == null) {
return ValueMatcher.primitiveNullValueMatcher(selector);
}
final int matchValIntBits = Float.floatToIntBits(matchVal);
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return false;
}
return Float.floatToIntBits(selector.getFloat()) == matchValIntBits;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
}
};
}
@Override
public ValueMatcher makeValueMatcher(
final BaseFloatColumnValueSelector selector,
DruidPredicateFactory predicateFactory
)
{
final DruidFloatPredicate predicate = predicateFactory.makeFloatPredicate();
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return predicate.applyNull();
}
return predicate.applyFloat(selector.getFloat());
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
inspector.visit("predicate", predicate);
}
};
}
@Override
public ValueGetter makeValueGetter(final BaseFloatColumnValueSelector selector)
{
return () -> {
if (selector.isNull()) {
return null;
}
return new String[]{Float.toString(selector.getFloat())};
};
}
}

View File

@ -32,8 +32,6 @@ import com.google.common.collect.Iterables;
import com.google.common.collect.Range;
import com.google.common.collect.RangeSet;
import com.google.common.collect.TreeRangeSet;
import com.google.common.primitives.Doubles;
import com.google.common.primitives.Floats;
import it.unimi.dsi.fastutil.ints.IntArrayList;
import it.unimi.dsi.fastutil.ints.IntOpenHashSet;
import it.unimi.dsi.fastutil.longs.LongArrayList;
@ -156,7 +154,12 @@ public class InDimFilter implements DimFilter
{
InDimFilter inFilter = optimizeLookup();
if (inFilter.values.size() == 1) {
return new SelectorDimFilter(inFilter.dimension, inFilter.values.first(), inFilter.getExtractionFn(), filterTuning);
return new SelectorDimFilter(
inFilter.dimension,
inFilter.values.first(),
inFilter.getExtractionFn(),
filterTuning
);
}
return inFilter;
}
@ -272,29 +275,27 @@ public class InDimFilter implements DimFilter
{
return Objects.hash(values, dimension, extractionFn, filterTuning);
}
private DruidLongPredicate createLongPredicate()
{
LongArrayList longs = new LongArrayList(values.size());
for (String value : values) {
final Long longValue = DimensionHandlerUtils.getExactLongFromDecimalString(value);
final Long longValue = DimensionHandlerUtils.convertObjectToLong(value);
if (longValue != null) {
longs.add(longValue);
longs.add((long) longValue);
}
}
if (longs.size() > NUMERIC_HASHING_THRESHOLD) {
final LongOpenHashSet longHashSet = new LongOpenHashSet(longs);
return input -> longHashSet.contains(input);
return longHashSet::contains;
} else {
final long[] longArray = longs.toLongArray();
Arrays.sort(longArray);
return input -> Arrays.binarySearch(longArray, input) >= 0;
}
}
// As the set of filtered values can be large, parsing them as longs should be done only if needed, and only once.
// Pass in a common long predicate supplier to all filters created by .toFilter(), so that
// we only compute the long hashset/array once per query.
@ -304,12 +305,12 @@ public class InDimFilter implements DimFilter
Supplier<DruidLongPredicate> longPredicate = () -> createLongPredicate();
return Suppliers.memoize(longPredicate);
}
private DruidFloatPredicate createFloatPredicate()
{
IntArrayList floatBits = new IntArrayList(values.size());
for (String value : values) {
Float floatValue = Floats.tryParse(value);
Float floatValue = DimensionHandlerUtils.convertObjectToFloat(value);
if (floatValue != null) {
floatBits.add(Float.floatToIntBits(floatValue));
}
@ -326,18 +327,18 @@ public class InDimFilter implements DimFilter
return input -> Arrays.binarySearch(floatBitsArray, Float.floatToIntBits(input)) >= 0;
}
}
private Supplier<DruidFloatPredicate> getFloatPredicateSupplier()
{
Supplier<DruidFloatPredicate> floatPredicate = () -> createFloatPredicate();
return Suppliers.memoize(floatPredicate);
}
private DruidDoublePredicate createDoublePredicate()
{
LongArrayList doubleBits = new LongArrayList(values.size());
for (String value : values) {
Double doubleValue = Doubles.tryParse(value);
Double doubleValue = DimensionHandlerUtils.convertObjectToDouble(value);
if (doubleValue != null) {
doubleBits.add(Double.doubleToLongBits((doubleValue)));
}

View File

@ -1,93 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.query.filter;
import org.apache.druid.query.monomorphicprocessing.RuntimeShapeInspector;
import org.apache.druid.segment.BaseLongColumnValueSelector;
import org.apache.druid.segment.DimensionHandlerUtils;
public class LongValueMatcherColumnSelectorStrategy
implements ValueMatcherColumnSelectorStrategy<BaseLongColumnValueSelector>
{
@Override
public ValueMatcher makeValueMatcher(final BaseLongColumnValueSelector selector, final String value)
{
final Long matchVal = DimensionHandlerUtils.convertObjectToLong(value);
if (matchVal == null) {
return ValueMatcher.primitiveNullValueMatcher(selector);
}
final long matchValLong = matchVal;
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return false;
}
return selector.getLong() == matchValLong;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
}
};
}
@Override
public ValueMatcher makeValueMatcher(
final BaseLongColumnValueSelector selector,
DruidPredicateFactory predicateFactory
)
{
final DruidLongPredicate predicate = predicateFactory.makeLongPredicate();
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return predicate.applyNull();
}
return predicate.applyLong(selector.getLong());
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
inspector.visit("predicate", predicate);
}
};
}
@Override
public ValueGetter makeValueGetter(final BaseLongColumnValueSelector selector)
{
return () -> {
if (selector.isNull()) {
return null;
}
return new String[]{Long.toString(selector.getLong())};
};
}
}

View File

@ -23,16 +23,11 @@ import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonInclude;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.google.common.base.Preconditions;
import com.google.common.base.Predicate;
import com.google.common.base.Predicates;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Range;
import com.google.common.collect.RangeSet;
import com.google.common.collect.TreeRangeSet;
import com.google.common.primitives.Doubles;
import com.google.common.primitives.Floats;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.common.guava.GuavaUtils;
import org.apache.druid.query.cache.CacheKeyBuilder;
import org.apache.druid.query.extraction.ExtractionFn;
import org.apache.druid.segment.filter.DimensionPredicateFilter;
@ -44,6 +39,7 @@ import java.util.Objects;
import java.util.Set;
/**
*
*/
public class SelectorDimFilter implements DimFilter
{
@ -56,11 +52,7 @@ public class SelectorDimFilter implements DimFilter
@Nullable
private final FilterTuning filterTuning;
private final Object initLock = new Object();
private DruidLongPredicate longPredicate;
private DruidFloatPredicate floatPredicate;
private DruidDoublePredicate druidDoublePredicate;
private final DruidPredicateFactory predicateFactory;
@JsonCreator
public SelectorDimFilter(
@ -76,6 +68,10 @@ public class SelectorDimFilter implements DimFilter
this.value = NullHandling.emptyToNullIfNeeded(value);
this.extractionFn = extractionFn;
this.filterTuning = filterTuning;
// Create this just in case "toFilter" needs it. It's okay to do this here, because initialization is lazy
// (and therefore construction is cheap).
this.predicateFactory = new SelectorPredicateFactory(this.value);
}
public SelectorDimFilter(String dimension, String value, @Nullable ExtractionFn extractionFn)
@ -109,36 +105,6 @@ public class SelectorDimFilter implements DimFilter
if (extractionFn == null) {
return new SelectorFilter(dimension, value, filterTuning);
} else {
final DruidPredicateFactory predicateFactory = new DruidPredicateFactory()
{
@Override
public Predicate<String> makeStringPredicate()
{
return Predicates.equalTo(value);
}
@Override
public DruidLongPredicate makeLongPredicate()
{
initLongPredicate();
return longPredicate;
}
@Override
public DruidFloatPredicate makeFloatPredicate()
{
initFloatPredicate();
return floatPredicate;
}
@Override
public DruidDoublePredicate makeDoublePredicate()
{
initDoublePredicate();
return druidDoublePredicate;
}
};
return new DimensionPredicateFilter(dimension, predicateFactory, extractionFn, filterTuning);
}
}
@ -225,78 +191,4 @@ public class SelectorDimFilter implements DimFilter
{
return ImmutableSet.of(dimension);
}
private void initLongPredicate()
{
if (longPredicate != null) {
return;
}
synchronized (initLock) {
if (longPredicate != null) {
return;
}
if (value == null) {
longPredicate = DruidLongPredicate.MATCH_NULL_ONLY;
return;
}
final Long valueAsLong = GuavaUtils.tryParseLong(value);
if (valueAsLong == null) {
longPredicate = DruidLongPredicate.ALWAYS_FALSE;
} else {
// store the primitive, so we don't unbox for every comparison
final long unboxedLong = valueAsLong.longValue();
longPredicate = input -> input == unboxedLong;
}
}
}
private void initFloatPredicate()
{
if (floatPredicate != null) {
return;
}
synchronized (initLock) {
if (floatPredicate != null) {
return;
}
if (value == null) {
floatPredicate = DruidFloatPredicate.MATCH_NULL_ONLY;
return;
}
final Float valueAsFloat = Floats.tryParse(value);
if (valueAsFloat == null) {
floatPredicate = DruidFloatPredicate.ALWAYS_FALSE;
} else {
final int floatBits = Float.floatToIntBits(valueAsFloat);
floatPredicate = input -> Float.floatToIntBits(input) == floatBits;
}
}
}
private void initDoublePredicate()
{
if (druidDoublePredicate != null) {
return;
}
synchronized (initLock) {
if (druidDoublePredicate != null) {
return;
}
if (value == null) {
druidDoublePredicate = DruidDoublePredicate.MATCH_NULL_ONLY;
return;
}
final Double aDouble = Doubles.tryParse(value);
if (aDouble == null) {
druidDoublePredicate = DruidDoublePredicate.ALWAYS_FALSE;
} else {
final long bits = Double.doubleToLongBits(aDouble);
druidDoublePredicate = input -> Double.doubleToLongBits(input) == bits;
}
}
}
}

View File

@ -0,0 +1,150 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.query.filter;
import com.google.common.base.Predicate;
import com.google.common.base.Predicates;
import org.apache.druid.segment.DimensionHandlerUtils;
import javax.annotation.Nullable;
/**
* A {@link DruidPredicateFactory} that checks if input values equal a specific, provided value. Initialization work
* is lazy and thread-safe.
*/
public class SelectorPredicateFactory implements DruidPredicateFactory
{
@Nullable
private final String value;
private final Object initLock = new Object();
private volatile DruidLongPredicate longPredicate;
private volatile DruidFloatPredicate floatPredicate;
private volatile DruidDoublePredicate doublePredicate;
public SelectorPredicateFactory(@Nullable String value)
{
this.value = value;
}
@Override
public Predicate<String> makeStringPredicate()
{
return Predicates.equalTo(value);
}
@Override
public DruidLongPredicate makeLongPredicate()
{
initLongPredicate();
return longPredicate;
}
@Override
public DruidFloatPredicate makeFloatPredicate()
{
initFloatPredicate();
return floatPredicate;
}
@Override
public DruidDoublePredicate makeDoublePredicate()
{
initDoublePredicate();
return doublePredicate;
}
private void initLongPredicate()
{
if (longPredicate != null) {
return;
}
synchronized (initLock) {
if (longPredicate != null) {
return;
}
if (value == null) {
longPredicate = DruidLongPredicate.MATCH_NULL_ONLY;
return;
}
final Long valueAsLong = DimensionHandlerUtils.convertObjectToLong(value);
if (valueAsLong == null) {
longPredicate = DruidLongPredicate.ALWAYS_FALSE;
} else {
// store the primitive, so we don't unbox for every comparison
final long unboxedLong = valueAsLong;
longPredicate = input -> input == unboxedLong;
}
}
}
private void initFloatPredicate()
{
if (floatPredicate != null) {
return;
}
synchronized (initLock) {
if (floatPredicate != null) {
return;
}
if (value == null) {
floatPredicate = DruidFloatPredicate.MATCH_NULL_ONLY;
return;
}
final Float valueAsFloat = DimensionHandlerUtils.convertObjectToFloat(value);
if (valueAsFloat == null) {
floatPredicate = DruidFloatPredicate.ALWAYS_FALSE;
} else {
// Compare with floatToIntBits instead of == to canonicalize NaNs.
final int floatBits = Float.floatToIntBits(valueAsFloat);
floatPredicate = input -> Float.floatToIntBits(input) == floatBits;
}
}
}
private void initDoublePredicate()
{
if (doublePredicate != null) {
return;
}
synchronized (initLock) {
if (doublePredicate != null) {
return;
}
if (value == null) {
doublePredicate = DruidDoublePredicate.MATCH_NULL_ONLY;
return;
}
final Double aDouble = DimensionHandlerUtils.convertObjectToDouble(value);
if (aDouble == null) {
doublePredicate = DruidDoublePredicate.ALWAYS_FALSE;
} else {
// Compare with doubleToLongBits instead of == to canonicalize NaNs.
final long bits = Double.doubleToLongBits(aDouble);
doublePredicate = input -> Double.doubleToLongBits(input) == bits;
}
}
}
}

View File

@ -1,131 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.query.filter;
import com.google.common.base.Predicate;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.segment.DimensionDictionarySelector;
import org.apache.druid.segment.DimensionSelector;
import org.apache.druid.segment.data.IndexedInts;
import org.apache.druid.segment.filter.BooleanValueMatcher;
import javax.annotation.Nullable;
import java.util.Objects;
public class StringValueMatcherColumnSelectorStrategy implements ValueMatcherColumnSelectorStrategy<DimensionSelector>
{
private static final String[] NULL_VALUE = new String[]{null};
private static final ValueGetter NULL_VALUE_GETTER = () -> NULL_VALUE;
private final boolean hasMultipleValues;
public StringValueMatcherColumnSelectorStrategy(final boolean hasMultipleValues)
{
this.hasMultipleValues = hasMultipleValues;
}
@Nullable
public static Boolean toBooleanIfPossible(
final DimensionDictionarySelector selector,
final boolean hasMultipleValues,
final Predicate<String> predicate
)
{
if (selector.getValueCardinality() == 0) {
// Column has no values (it doesn't exist, or it's all empty arrays).
// Match if and only if "predicate" matches null.
return predicate.apply(null);
} else if (!hasMultipleValues && selector.getValueCardinality() == 1 && selector.nameLookupPossibleInAdvance()) {
// Every row has the same value. Match if and only if "predicate" matches the possible value.
return predicate.apply(selector.lookupName(0));
} else {
return null;
}
}
@Nullable
private static ValueMatcher toBooleanMatcherIfPossible(
final DimensionSelector selector,
final boolean hasMultipleValues,
final Predicate<String> predicate
)
{
final Boolean booleanValue = StringValueMatcherColumnSelectorStrategy.toBooleanIfPossible(
selector,
hasMultipleValues,
predicate
);
return booleanValue == null ? null : BooleanValueMatcher.of(booleanValue);
}
@Override
public ValueMatcher makeValueMatcher(final DimensionSelector selector, final String value)
{
final ValueMatcher booleanMatcher = toBooleanMatcherIfPossible(
selector,
hasMultipleValues,
s -> Objects.equals(s, NullHandling.emptyToNullIfNeeded(value))
);
if (booleanMatcher != null) {
return booleanMatcher;
} else {
return selector.makeValueMatcher(value);
}
}
@Override
public ValueMatcher makeValueMatcher(
final DimensionSelector selector,
final DruidPredicateFactory predicateFactory
)
{
final Predicate<String> predicate = predicateFactory.makeStringPredicate();
final ValueMatcher booleanMatcher = toBooleanMatcherIfPossible(selector, hasMultipleValues, predicate);
if (booleanMatcher != null) {
return booleanMatcher;
} else {
return selector.makeValueMatcher(predicate);
}
}
@Override
public ValueGetter makeValueGetter(final DimensionSelector selector)
{
if (selector.getValueCardinality() == 0) {
return NULL_VALUE_GETTER;
} else {
return () -> {
final IndexedInts row = selector.getRow();
final int size = row.size();
if (size == 0) {
return NULL_VALUE;
} else {
String[] values = new String[size];
for (int i = 0; i < size; ++i) {
values[i] = selector.lookupName(row.get(i));
}
return values;
}
};
}
}
}

View File

@ -1,37 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.query.filter;
import javax.annotation.Nullable;
/**
*/
public interface ValueGetter
{
/**
* It is not ideal that Long and Float values will get
* converted to strings. We should also add functions
* for these and modify ColumnComparisonFilter to handle
* comparing Long and Float columns to eachother.
* Returns null when the underlying Long/Float value is null.
*/
@Nullable
String[] get();
}

View File

@ -21,8 +21,6 @@ package org.apache.druid.query.filter;
import org.apache.druid.query.monomorphicprocessing.CalledFromHotLoop;
import org.apache.druid.query.monomorphicprocessing.HotLoopCallee;
import org.apache.druid.query.monomorphicprocessing.RuntimeShapeInspector;
import org.apache.druid.segment.BaseNullableColumnValueSelector;
/**
* An object that returns a boolean indicating if the "current" row should be selected or not. The most prominent use
@ -35,28 +33,4 @@ public interface ValueMatcher extends HotLoopCallee
{
@CalledFromHotLoop
boolean matches();
// Utility method to match null values.
/**
* Returns a ValueMatcher that matches when the primitive long, double, or float value from {@code selector}
* should be treated as null.
*/
static ValueMatcher primitiveNullValueMatcher(BaseNullableColumnValueSelector selector)
{
return new ValueMatcher()
{
@Override
public boolean matches()
{
return selector.isNull();
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
}
};
}
}

View File

@ -1,51 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.query.filter;
import org.apache.druid.query.dimension.ColumnSelectorStrategy;
public interface ValueMatcherColumnSelectorStrategy<ValueSelectorType> extends ColumnSelectorStrategy
{
/**
* Create a single value ValueMatcher.
*
* @param selector Column selector
* @param value Value to match against
* @return ValueMatcher that matches on 'value'
*/
ValueMatcher makeValueMatcher(ValueSelectorType selector, String value);
/**
* Create a predicate-based ValueMatcher.
*
* @param selector Column selector
* @param predicateFactory A DruidPredicateFactory that provides the filter predicates to be matched
* @return A ValueMatcher that applies the predicate for this DimensionQueryHelper's value type from the predicateFactory
*/
ValueMatcher makeValueMatcher(ValueSelectorType selector, DruidPredicateFactory predicateFactory);
/**
* Create a ValueGetter.
*
* @param selector Column selector
* @return A ValueGetter that returns the value(s) of the selected column
*/
ValueGetter makeValueGetter(ValueSelectorType selector);
}

View File

@ -1,63 +0,0 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.query.filter;
import org.apache.druid.java.util.common.IAE;
import org.apache.druid.query.dimension.ColumnSelectorStrategyFactory;
import org.apache.druid.segment.ColumnValueSelector;
import org.apache.druid.segment.column.ColumnCapabilities;
import org.apache.druid.segment.column.ValueType;
public class ValueMatcherColumnSelectorStrategyFactory
implements ColumnSelectorStrategyFactory<ValueMatcherColumnSelectorStrategy>
{
private static final ValueMatcherColumnSelectorStrategyFactory INSTANCE = new ValueMatcherColumnSelectorStrategyFactory();
private ValueMatcherColumnSelectorStrategyFactory()
{
// Singleton.
}
public static ValueMatcherColumnSelectorStrategyFactory instance()
{
return INSTANCE;
}
@Override
public ValueMatcherColumnSelectorStrategy makeColumnSelectorStrategy(
ColumnCapabilities capabilities,
ColumnValueSelector selector
)
{
ValueType type = capabilities.getType();
switch (type) {
case STRING:
return new StringValueMatcherColumnSelectorStrategy(capabilities.hasMultipleValues());
case LONG:
return new LongValueMatcherColumnSelectorStrategy();
case FLOAT:
return new FloatValueMatcherColumnSelectorStrategy();
case DOUBLE:
return new DoubleValueMatcherColumnSelectorStrategy();
default:
throw new IAE("Cannot create column selector strategy from invalid type [%s]", type);
}
}
}

View File

@ -22,8 +22,8 @@ package org.apache.druid.query.filter.vector;
import com.google.common.base.Predicate;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.query.filter.DruidPredicateFactory;
import org.apache.druid.query.filter.StringValueMatcherColumnSelectorStrategy;
import org.apache.druid.segment.IdLookup;
import org.apache.druid.segment.filter.ValueMatchers;
import org.apache.druid.segment.vector.SingleValueDimensionVectorSelector;
import javax.annotation.Nullable;
@ -45,7 +45,7 @@ public class SingleValueStringVectorValueMatcher implements VectorValueMatcherFa
final Predicate<String> predicate
)
{
final Boolean booleanValue = StringValueMatcherColumnSelectorStrategy.toBooleanIfPossible(
final Boolean booleanValue = ValueMatchers.toBooleanIfPossible(
selector,
false,
predicate

View File

@ -374,7 +374,12 @@ public class RowBasedGrouperHelper
}
};
return RowBasedColumnSelectorFactory.create(adapter, supplier::get, GroupByQueryHelper.rowSignatureFor(query));
return RowBasedColumnSelectorFactory.create(
adapter,
supplier::get,
GroupByQueryHelper.rowSignatureFor(query),
false
);
}
/**

View File

@ -48,6 +48,7 @@ import org.apache.druid.query.aggregation.MetricManipulationFn;
import org.apache.druid.query.aggregation.PostAggregator;
import org.apache.druid.query.cache.CacheKeyBuilder;
import org.apache.druid.query.context.ResponseContext;
import org.apache.druid.segment.RowAdapters;
import org.apache.druid.segment.RowBasedColumnSelectorFactory;
import org.apache.druid.segment.column.ColumnHolder;
import org.joda.time.DateTime;
@ -212,11 +213,16 @@ public class TimeseriesQueryQueryToolChest extends QueryToolChest<Result<Timeser
Aggregator[] aggregators = new Aggregator[aggregatorSpecs.size()];
String[] aggregatorNames = new String[aggregatorSpecs.size()];
for (int i = 0; i < aggregatorSpecs.size(); i++) {
aggregators[i] = aggregatorSpecs.get(i)
.factorize(RowBasedColumnSelectorFactory.create(() -> new MapBasedRow(
null,
null
), null));
aggregators[i] =
aggregatorSpecs.get(i)
.factorize(
RowBasedColumnSelectorFactory.create(
RowAdapters.standardRow(),
() -> new MapBasedRow(null, null),
null,
false
)
);
aggregatorNames[i] = aggregatorSpecs.get(i).getName();
}
final DateTime start = query.getIntervals().isEmpty() ? DateTimes.EPOCH : query.getIntervals().get(0).getStart();

View File

@ -47,13 +47,39 @@ public interface ColumnProcessorFactory<T>
*/
ValueType defaultType();
T makeDimensionProcessor(DimensionSelector selector);
/**
* Create a processor for a string column.
*
* @param selector dimension selector
* @param multiValue whether the selector *might* have multiple values
*/
T makeDimensionProcessor(DimensionSelector selector, boolean multiValue);
/**
* Create a processor for a float column.
*
* @param selector float selector
*/
T makeFloatProcessor(BaseFloatColumnValueSelector selector);
/**
* Create a processor for a double column.
*
* @param selector double selector
*/
T makeDoubleProcessor(BaseDoubleColumnValueSelector selector);
/**
* Create a processor for a long column.
*
* @param selector long selector
*/
T makeLongProcessor(BaseLongColumnValueSelector selector);
/**
* Create a processor for a complex column.
*
* @param selector object selector
*/
T makeComplexProcessor(BaseObjectColumnValueSelector<?> selector);
}

View File

@ -23,7 +23,9 @@ import com.google.common.base.Function;
import org.apache.druid.java.util.common.ISE;
import org.apache.druid.math.expr.Expr;
import org.apache.druid.query.dimension.DefaultDimensionSpec;
import org.apache.druid.query.dimension.DimensionSpec;
import org.apache.druid.segment.column.ColumnCapabilities;
import org.apache.druid.segment.column.ColumnCapabilitiesImpl;
import org.apache.druid.segment.column.ValueType;
import org.apache.druid.segment.virtual.ExpressionSelectors;
@ -54,7 +56,7 @@ public class ColumnProcessors
)
{
return makeProcessorInternal(
factory -> getColumnType(factory, column),
factory -> factory.getColumnCapabilities(column),
factory -> factory.makeDimensionSelector(DefaultDimensionSpec.of(column)),
factory -> factory.makeColumnValueSelector(column),
processorFactory,
@ -62,12 +64,52 @@ public class ColumnProcessors
);
}
/**
* Make a processor for a particular {@link DimensionSpec}.
*
* @param dimensionSpec the dimension spec
* @param processorFactory the processor factory
* @param selectorFactory the column selector factory
* @param <T> processor type
*/
public static <T> T makeProcessor(
final DimensionSpec dimensionSpec,
final ColumnProcessorFactory<T> processorFactory,
final ColumnSelectorFactory selectorFactory
)
{
return makeProcessorInternal(
factory -> {
// Capabilities of the column that the dimensionSpec is reading. We can't return these straight-up, because
// the _result_ of the dimensionSpec might have different capabilities. But what we return will generally be
// based on them.
final ColumnCapabilities dimensionCapabilities = factory.getColumnCapabilities(dimensionSpec.getDimension());
if (dimensionSpec.getExtractionFn() != null || dimensionSpec.mustDecorate()) {
// DimensionSpec is doing some sort of transformation. The result is always a string.
return new ColumnCapabilitiesImpl()
.setType(ValueType.STRING)
.setHasMultipleValues(dimensionSpec.mustDecorate() || mayBeMultiValue(dimensionCapabilities));
} else {
// No transformation. Pass through.
return dimensionCapabilities;
}
},
factory -> factory.makeDimensionSelector(dimensionSpec),
factory -> factory.makeColumnValueSelector(dimensionSpec.getDimension()),
processorFactory,
selectorFactory
);
}
/**
* Make a processor for a particular expression. If the expression is a simple identifier, this behaves identically
* to {@link #makeProcessor(String, ColumnProcessorFactory, ColumnSelectorFactory)} and accesses the column directly.
* Otherwise, it uses an expression selector of type {@code exprTypeHint}.
*
* @param expr the parsed expression
* @param exprTypeHint expression selector type to use for exprs that are not simple identifiers
* @param processorFactory the processor factory
* @param selectorFactory the column selector factory
* @param <T> processor type
@ -84,7 +126,7 @@ public class ColumnProcessors
return makeProcessor(expr.getBindingIfIdentifier(), processorFactory, selectorFactory);
} else {
return makeProcessorInternal(
factory -> exprTypeHint,
factory -> new ColumnCapabilitiesImpl().setType(exprTypeHint).setHasMultipleValues(true),
factory -> ExpressionSelectors.makeDimensionSelector(factory, expr, null),
factory -> ExpressionSelectors.makeColumnValueSelector(factory, expr),
processorFactory,
@ -97,8 +139,10 @@ public class ColumnProcessors
* Creates "column processors", which are objects that wrap a single input column and provide some
* functionality on top of it.
*
* @param inputTypeFn function that returns the "natural" input type of the column being processed. This is
* permitted to return null; if it does, then processorFactory.defaultType() will be used.
* @param inputCapabilitiesFn function that returns capabilities of the column being processed. The type provided
* by these capabilities will be used to determine what kind of selector to create. If
* this function returns null, then processorFactory.defaultType() will be
* used to construct a set of assumed capabilities.
* @param dimensionSelectorFn function that creates a DimensionSelector for the column being processed. Will be
* called if the column type is string.
* @param valueSelectorFunction function that creates a ColumnValueSelector for the column being processed. Will be
@ -109,19 +153,22 @@ public class ColumnProcessors
* @see DimensionHandlerUtils#makeVectorProcessor the vectorized version
*/
private static <T> T makeProcessorInternal(
final Function<ColumnSelectorFactory, ValueType> inputTypeFn,
final Function<ColumnSelectorFactory, ColumnCapabilities> inputCapabilitiesFn,
final Function<ColumnSelectorFactory, DimensionSelector> dimensionSelectorFn,
final Function<ColumnSelectorFactory, ColumnValueSelector<?>> valueSelectorFunction,
final ColumnProcessorFactory<T> processorFactory,
final ColumnSelectorFactory selectorFactory
)
{
final ValueType type = inputTypeFn.apply(selectorFactory);
final ValueType effectiveType = type != null ? type : processorFactory.defaultType();
final ColumnCapabilities capabilities = inputCapabilitiesFn.apply(selectorFactory);
final ValueType effectiveType = capabilities != null ? capabilities.getType() : processorFactory.defaultType();
switch (effectiveType) {
case STRING:
return processorFactory.makeDimensionProcessor(dimensionSelectorFn.apply(selectorFactory));
return processorFactory.makeDimensionProcessor(
dimensionSelectorFn.apply(selectorFactory),
mayBeMultiValue(capabilities)
);
case LONG:
return processorFactory.makeLongProcessor(valueSelectorFunction.apply(selectorFactory));
case FLOAT:
@ -135,10 +182,12 @@ public class ColumnProcessors
}
}
@Nullable
private static ValueType getColumnType(final ColumnSelectorFactory selectorFactory, final String columnName)
/**
* Returns true if a given set of capabilities might indicate an underlying multi-value column. Errs on the side
* of returning true if unknown; i.e. if this returns false, there are _definitely not_ mul.
*/
private static boolean mayBeMultiValue(@Nullable final ColumnCapabilities capabilities)
{
final ColumnCapabilities capabilities = selectorFactory.getColumnCapabilities(columnName);
return capabilities == null ? null : capabilities.getType();
return capabilities == null || !capabilities.isComplete() || capabilities.hasMultipleValues();
}
}

View File

@ -519,9 +519,4 @@ public final class DimensionHandlerUtils
{
return number == null ? ZERO_FLOAT : number;
}
public static Number nullToZero(@Nullable Number number)
{
return number == null ? ZERO_DOUBLE : number;
}
}

View File

@ -0,0 +1,60 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.segment;
import org.apache.druid.data.input.Row;
import java.util.function.Function;
import java.util.function.ToLongFunction;
/**
* Utility class for creating {@link RowAdapter}.
*/
public class RowAdapters
{
private static final RowAdapter<? extends Row> STANDARD_ROW_ADAPTER = new RowAdapter<Row>()
{
@Override
public ToLongFunction<Row> timestampFunction()
{
return Row::getTimestampFromEpoch;
}
@Override
public Function<Row, Object> columnFunction(String columnName)
{
return r -> r.getRaw(columnName);
}
};
private RowAdapters()
{
// No instantiation.
}
/**
* Returns a {@link RowAdapter} that handles any kind of input {@link Row}.
*/
public static <RowType extends Row> RowAdapter<RowType> standardRow()
{
//noinspection unchecked
return (RowAdapter<RowType>) STANDARD_ROW_ADAPTER;
}
}

View File

@ -22,7 +22,6 @@ package org.apache.druid.segment;
import com.google.common.base.Predicate;
import com.google.common.collect.ImmutableMap;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.data.input.Row;
import org.apache.druid.data.input.Rows;
import org.apache.druid.query.dimension.DimensionSpec;
import org.apache.druid.query.extraction.ExtractionFn;
@ -43,54 +42,48 @@ import java.util.function.Function;
import java.util.function.Supplier;
import java.util.function.ToLongFunction;
/**
* A {@link ColumnSelectorFactory} that is based on an object supplier and a {@link RowAdapter} for that type of object.
*/
public class RowBasedColumnSelectorFactory<T> implements ColumnSelectorFactory
{
private static final RowAdapter<? extends Row> STANDARD_ROW_ADAPTER = new RowAdapter<Row>()
{
@Override
public ToLongFunction<Row> timestampFunction()
{
return Row::getTimestampFromEpoch;
}
@Override
public Function<Row, Object> columnFunction(String columnName)
{
return r -> r.getRaw(columnName);
}
};
private final Supplier<T> supplier;
private final RowAdapter<T> adapter;
private final Map<String, ValueType> rowSignature;
private final boolean throwParseExceptions;
private RowBasedColumnSelectorFactory(
final Supplier<T> supplier,
final RowAdapter<T> adapter,
@Nullable final Map<String, ValueType> rowSignature
@Nullable final Map<String, ValueType> rowSignature,
final boolean throwParseExceptions
)
{
this.supplier = supplier;
this.adapter = adapter;
this.rowSignature = rowSignature != null ? rowSignature : ImmutableMap.of();
this.throwParseExceptions = throwParseExceptions;
}
public static <RowType extends Row> RowBasedColumnSelectorFactory create(
final Supplier<RowType> supplier,
@Nullable final Map<String, ValueType> signature
)
{
//noinspection unchecked
return new RowBasedColumnSelectorFactory<>(supplier, (RowAdapter<RowType>) STANDARD_ROW_ADAPTER, signature);
}
public static <RowType> RowBasedColumnSelectorFactory create(
/**
* Create an instance based on any object, along with a {@link RowAdapter} for that object.
*
* @param adapter adapter for these row objects
* @param supplier supplier of row objects
* @param signature will be used for reporting available columns and their capabilities. Note that the this
* factory will still allow creation of selectors on any field in the rows, even if it
* doesn't appear in "rowSignature".
* @param throwParseExceptions whether numeric selectors should throw parse exceptions or use a default/null value
* when their inputs are not actually numeric
*/
public static <RowType> RowBasedColumnSelectorFactory<RowType> create(
final RowAdapter<RowType> adapter,
final Supplier<RowType> supplier,
@Nullable final Map<String, ValueType> signature
@Nullable final Map<String, ValueType> signature,
final boolean throwParseExceptions
)
{
return new RowBasedColumnSelectorFactory<>(supplier, adapter, signature);
return new RowBasedColumnSelectorFactory<>(supplier, adapter, signature, throwParseExceptions);
}
@Nullable
@ -106,7 +99,8 @@ public class RowBasedColumnSelectorFactory<T> implements ColumnSelectorFactory
final ValueType valueType = rowSignature.get(columnName);
// Do _not_ set isDictionaryEncoded or hasBitmapIndexes, because Row-based columns do not have those things.
return valueType != null ? new ColumnCapabilitiesImpl().setType(valueType) : null;
// Do set hasMultipleValues, because we might return multiple values.
return valueType != null ? new ColumnCapabilitiesImpl().setType(valueType).setHasMultipleValues(true) : null;
}
}
@ -365,47 +359,47 @@ public class RowBasedColumnSelectorFactory<T> implements ColumnSelectorFactory
} else {
final Function<T, Object> columnFunction = adapter.columnFunction(columnName);
return new ColumnValueSelector()
return new ColumnValueSelector<Object>()
{
@Override
public boolean isNull()
{
return columnFunction.apply(supplier.get()) == null;
return !NullHandling.replaceWithDefault() && getCurrentValueAsNumber() == null;
}
@Override
public double getDouble()
{
Number metric = Rows.objectToNumber(columnName, columnFunction.apply(supplier.get()));
assert NullHandling.replaceWithDefault() || metric != null;
return DimensionHandlerUtils.nullToZero(metric).doubleValue();
final Number n = getCurrentValueAsNumber();
assert NullHandling.replaceWithDefault() || n != null;
return n != null ? n.doubleValue() : 0d;
}
@Override
public float getFloat()
{
Number metric = Rows.objectToNumber(columnName, columnFunction.apply(supplier.get()));
assert NullHandling.replaceWithDefault() || metric != null;
return DimensionHandlerUtils.nullToZero(metric).floatValue();
final Number n = getCurrentValueAsNumber();
assert NullHandling.replaceWithDefault() || n != null;
return n != null ? n.floatValue() : 0f;
}
@Override
public long getLong()
{
Number metric = Rows.objectToNumber(columnName, columnFunction.apply(supplier.get()));
assert NullHandling.replaceWithDefault() || metric != null;
return DimensionHandlerUtils.nullToZero(metric).longValue();
final Number n = getCurrentValueAsNumber();
assert NullHandling.replaceWithDefault() || n != null;
return n != null ? n.longValue() : 0L;
}
@Nullable
@Override
public Object getObject()
{
return columnFunction.apply(supplier.get());
return getCurrentValue();
}
@Override
public Class classOfObject()
public Class<Object> classOfObject()
{
return Object.class;
}
@ -415,6 +409,22 @@ public class RowBasedColumnSelectorFactory<T> implements ColumnSelectorFactory
{
inspector.visit("row", supplier);
}
@Nullable
private Object getCurrentValue()
{
return columnFunction.apply(supplier.get());
}
@Nullable
private Number getCurrentValueAsNumber()
{
return Rows.objectToNumber(
columnName,
getCurrentValue(),
throwParseExceptions
);
}
};
}
}

View File

@ -34,9 +34,10 @@ public interface ColumnCapabilities
/**
* This property indicates that this {@link ColumnCapabilities} is "complete" in that all properties can be expected
* to supply valid responses. Not all {@link ColumnCapabilities} are created equal. Some, such as those provided by
* {@link org.apache.druid.segment.RowBasedColumnSelectorFactory} only have type information, if even that, and
* cannot supply information like {@link ColumnCapabilities#hasMultipleValues}, and will report as false.
* to supply valid responses. This is mostly a hack to work around {@link ColumnCapabilities} generators that
* fail to set {@link #hasMultipleValues()} even when the associated column really could have multiple values.
* Until this situation is sorted out, if this method returns false, callers are encouraged to ignore
* {@link #hasMultipleValues()} and treat that property as if it were unknown.
*/
boolean isComplete();
}

View File

@ -21,34 +21,36 @@ package org.apache.druid.segment.filter;
import com.google.common.base.Preconditions;
import org.apache.druid.query.BitmapResultFactory;
import org.apache.druid.query.ColumnSelectorPlus;
import org.apache.druid.query.dimension.DimensionSpec;
import org.apache.druid.query.filter.BitmapIndexSelector;
import org.apache.druid.query.filter.Filter;
import org.apache.druid.query.filter.ValueGetter;
import org.apache.druid.query.filter.ValueMatcher;
import org.apache.druid.query.filter.ValueMatcherColumnSelectorStrategy;
import org.apache.druid.query.filter.ValueMatcherColumnSelectorStrategyFactory;
import org.apache.druid.query.monomorphicprocessing.RuntimeShapeInspector;
import org.apache.druid.segment.BaseDoubleColumnValueSelector;
import org.apache.druid.segment.BaseFloatColumnValueSelector;
import org.apache.druid.segment.BaseLongColumnValueSelector;
import org.apache.druid.segment.BaseObjectColumnValueSelector;
import org.apache.druid.segment.ColumnProcessorFactory;
import org.apache.druid.segment.ColumnProcessors;
import org.apache.druid.segment.ColumnSelector;
import org.apache.druid.segment.ColumnSelectorFactory;
import org.apache.druid.segment.DimensionHandlerUtils;
import org.apache.druid.segment.DimensionSelector;
import org.apache.druid.segment.column.ValueType;
import org.apache.druid.segment.data.IndexedInts;
import javax.annotation.Nullable;
import java.util.ArrayList;
import java.util.List;
import java.util.Objects;
import java.util.Set;
import java.util.function.Supplier;
import java.util.stream.Collectors;
/**
*/
public class ColumnComparisonFilter implements Filter
{
private final List<DimensionSpec> dimensions;
public ColumnComparisonFilter(
final List<DimensionSpec> dimensions
)
public ColumnComparisonFilter(final List<DimensionSpec> dimensions)
{
this.dimensions = Preconditions.checkNotNull(dimensions, "dimensions");
}
@ -62,37 +64,31 @@ public class ColumnComparisonFilter implements Filter
@Override
public ValueMatcher makeMatcher(ColumnSelectorFactory factory)
{
final ValueGetter[] valueGetters = new ValueGetter[dimensions.size()];
final List<Supplier<String[]>> valueGetters = new ArrayList<>(dimensions.size());
for (int i = 0; i < dimensions.size(); i++) {
final ColumnSelectorPlus<ValueMatcherColumnSelectorStrategy> selector =
DimensionHandlerUtils.createColumnSelectorPlus(
ValueMatcherColumnSelectorStrategyFactory.instance(),
dimensions.get(i),
factory
);
valueGetters[i] = selector.getColumnSelectorStrategy().makeValueGetter(selector.getSelector());
for (final DimensionSpec dimension : dimensions) {
valueGetters.add(ColumnProcessors.makeProcessor(dimension, ColumnComparisonReaderFactory.INSTANCE, factory));
}
return makeValueMatcher(valueGetters);
}
public static ValueMatcher makeValueMatcher(final ValueGetter[] valueGetters)
public static ValueMatcher makeValueMatcher(final List<Supplier<String[]>> valueGetters)
{
if (valueGetters.length == 0) {
if (valueGetters.isEmpty()) {
return BooleanValueMatcher.of(true);
}
return new ValueMatcher()
{
@Override
public boolean matches()
{
// Keep all values to compare against each other.
String[][] values = new String[valueGetters.length][];
String[][] values = new String[valueGetters.size()][];
for (int i = 0; i < valueGetters.length; i++) {
values[i] = valueGetters[i].get();
for (int i = 0; i < valueGetters.size(); i++) {
values[i] = valueGetters.get(i).get();
// Compare the new values to the values we already got.
for (int j = 0; j < i; j++) {
if (!overlap(values[i], values[j])) {
@ -107,7 +103,7 @@ public class ColumnComparisonFilter implements Filter
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
// All value getters are likely the same or similar (in terms of runtime shape), so inspecting only one of them.
inspector.visit("oneValueGetter", valueGetters[0]);
inspector.visit("oneValueGetter", valueGetters.get(0));
}
};
}
@ -166,4 +162,73 @@ public class ColumnComparisonFilter implements Filter
{
throw new UnsupportedOperationException();
}
private static class ColumnComparisonReaderFactory implements ColumnProcessorFactory<Supplier<String[]>>
{
private static final ColumnComparisonReaderFactory INSTANCE = new ColumnComparisonReaderFactory();
private static final String[] NULL_VALUE = new String[]{null};
@Override
public ValueType defaultType()
{
return ValueType.STRING;
}
@Override
public Supplier<String[]> makeDimensionProcessor(DimensionSelector selector, boolean multiValue)
{
return () -> {
final IndexedInts row = selector.getRow();
final int size = row.size();
if (size == 0) {
return NULL_VALUE;
} else {
String[] values = new String[size];
for (int i = 0; i < size; ++i) {
values[i] = selector.lookupName(row.get(i));
}
return values;
}
};
}
@Override
public Supplier<String[]> makeFloatProcessor(BaseFloatColumnValueSelector selector)
{
return () -> {
if (selector.isNull()) {
return NULL_VALUE;
}
return new String[]{Float.toString(selector.getFloat())};
};
}
@Override
public Supplier<String[]> makeDoubleProcessor(BaseDoubleColumnValueSelector selector)
{
return () -> {
if (selector.isNull()) {
return NULL_VALUE;
}
return new String[]{Double.toString(selector.getDouble())};
};
}
@Override
public Supplier<String[]> makeLongProcessor(BaseLongColumnValueSelector selector)
{
return () -> {
if (selector.isNull()) {
return NULL_VALUE;
}
return new String[]{Long.toString(selector.getLong())};
};
}
@Override
public Supplier<String[]> makeComplexProcessor(BaseObjectColumnValueSelector<?> selector)
{
return () -> NULL_VALUE;
}
}
}

View File

@ -0,0 +1,83 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.segment.filter;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.query.filter.SelectorPredicateFactory;
import org.apache.druid.query.filter.ValueMatcher;
import org.apache.druid.segment.BaseDoubleColumnValueSelector;
import org.apache.druid.segment.BaseFloatColumnValueSelector;
import org.apache.druid.segment.BaseLongColumnValueSelector;
import org.apache.druid.segment.BaseObjectColumnValueSelector;
import org.apache.druid.segment.ColumnProcessorFactory;
import org.apache.druid.segment.DimensionSelector;
import org.apache.druid.segment.column.ValueType;
import javax.annotation.Nullable;
/**
* Creates {@link ValueMatcher} that match constants.
*/
public class ConstantValueMatcherFactory implements ColumnProcessorFactory<ValueMatcher>
{
@Nullable
private final String matchValue;
ConstantValueMatcherFactory(@Nullable String matchValue)
{
this.matchValue = NullHandling.emptyToNullIfNeeded(matchValue);
}
@Override
public ValueType defaultType()
{
return ValueType.COMPLEX;
}
@Override
public ValueMatcher makeDimensionProcessor(DimensionSelector selector, boolean multiValue)
{
return ValueMatchers.makeStringValueMatcher(selector, matchValue, multiValue);
}
@Override
public ValueMatcher makeFloatProcessor(BaseFloatColumnValueSelector selector)
{
return ValueMatchers.makeFloatValueMatcher(selector, matchValue);
}
@Override
public ValueMatcher makeDoubleProcessor(BaseDoubleColumnValueSelector selector)
{
return ValueMatchers.makeDoubleValueMatcher(selector, matchValue);
}
@Override
public ValueMatcher makeLongProcessor(BaseLongColumnValueSelector selector)
{
return ValueMatchers.makeLongValueMatcher(selector, matchValue);
}
@Override
public ValueMatcher makeComplexProcessor(BaseObjectColumnValueSelector<?> selector)
{
return new PredicateValueMatcherFactory(new SelectorPredicateFactory(matchValue)).makeComplexProcessor(selector);
}
}

View File

@ -30,9 +30,7 @@ import it.unimi.dsi.fastutil.ints.IntList;
import org.apache.druid.collections.bitmap.ImmutableBitmap;
import org.apache.druid.java.util.common.guava.FunctionalIterable;
import org.apache.druid.query.BitmapResultFactory;
import org.apache.druid.query.ColumnSelectorPlus;
import org.apache.druid.query.Query;
import org.apache.druid.query.dimension.DefaultDimensionSpec;
import org.apache.druid.query.filter.BitmapIndexSelector;
import org.apache.druid.query.filter.BooleanFilter;
import org.apache.druid.query.filter.DimFilter;
@ -40,11 +38,9 @@ import org.apache.druid.query.filter.DruidPredicateFactory;
import org.apache.druid.query.filter.Filter;
import org.apache.druid.query.filter.FilterTuning;
import org.apache.druid.query.filter.ValueMatcher;
import org.apache.druid.query.filter.ValueMatcherColumnSelectorStrategy;
import org.apache.druid.query.filter.ValueMatcherColumnSelectorStrategyFactory;
import org.apache.druid.segment.ColumnProcessors;
import org.apache.druid.segment.ColumnSelector;
import org.apache.druid.segment.ColumnSelectorFactory;
import org.apache.druid.segment.DimensionHandlerUtils;
import org.apache.druid.segment.IntIteratorUtils;
import org.apache.druid.segment.column.BitmapIndex;
import org.apache.druid.segment.column.ColumnHolder;
@ -60,6 +56,7 @@ import java.util.List;
import java.util.NoSuchElementException;
/**
*
*/
public class Filters
{
@ -120,14 +117,11 @@ public class Filters
final String value
)
{
final ColumnSelectorPlus<ValueMatcherColumnSelectorStrategy> selector =
DimensionHandlerUtils.createColumnSelectorPlus(
ValueMatcherColumnSelectorStrategyFactory.instance(),
DefaultDimensionSpec.of(columnName),
columnSelectorFactory
);
return selector.getColumnSelectorStrategy().makeValueMatcher(selector.getSelector(), value);
return ColumnProcessors.makeProcessor(
columnName,
new ConstantValueMatcherFactory(value),
columnSelectorFactory
);
}
/**
@ -151,14 +145,11 @@ public class Filters
final DruidPredicateFactory predicateFactory
)
{
final ColumnSelectorPlus<ValueMatcherColumnSelectorStrategy> selector =
DimensionHandlerUtils.createColumnSelectorPlus(
ValueMatcherColumnSelectorStrategyFactory.instance(),
DefaultDimensionSpec.of(columnName),
columnSelectorFactory
);
return selector.getColumnSelectorStrategy().makeValueMatcher(selector.getSelector(), predicateFactory);
return ColumnProcessors.makeProcessor(
columnName,
new PredicateValueMatcherFactory(predicateFactory),
columnSelectorFactory
);
}
public static ImmutableBitmap allFalse(final BitmapIndexSelector selector)
@ -217,10 +208,11 @@ public class Filters
/**
* Return the union of bitmaps for all values matching a particular predicate.
*
* @param dimension dimension to look at
* @param selector bitmap selector
* @param dimension dimension to look at
* @param selector bitmap selector
* @param bitmapResultFactory
* @param predicate predicate to use
* @param predicate predicate to use
*
* @return bitmap of matching rows
*
* @see #estimateSelectivity(String, BitmapIndexSelector, Predicate)
@ -616,9 +608,9 @@ public class Filters
/**
* This method provides a "standard" implementation of {@link Filter#shouldUseBitmapIndex(BitmapIndexSelector)} which takes
* a {@link Filter}, a {@link BitmapIndexSelector}, and {@link FilterTuning} to determine if:
* a) the filter supports bitmap indexes for all required columns
* b) the filter tuning specifies that it should use the index
* c) the cardinality of the column is above the minimum threshold and below the maximum threshold to use the index
* a) the filter supports bitmap indexes for all required columns
* b) the filter tuning specifies that it should use the index
* c) the cardinality of the column is above the minimum threshold and below the maximum threshold to use the index
*
* If all these things are true, {@link org.apache.druid.segment.QueryableIndexStorageAdapter} will utilize the
* indexes.
@ -646,9 +638,10 @@ public class Filters
* Create a filter representing an AND relationship across a list of filters.
*
* @param filterList List of filters
*
* @return If filterList has more than one element, return an AND filter composed of the filters from filterList
* If filterList has a single element, return that element alone
* If filterList is empty, return null
* If filterList has a single element, return that element alone
* If filterList is empty, return null
*/
@Nullable
public static Filter and(List<Filter> filterList)

View File

@ -0,0 +1,205 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.segment.filter;
import com.google.common.base.Predicate;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.data.input.Rows;
import org.apache.druid.query.filter.DruidDoublePredicate;
import org.apache.druid.query.filter.DruidFloatPredicate;
import org.apache.druid.query.filter.DruidLongPredicate;
import org.apache.druid.query.filter.DruidPredicateFactory;
import org.apache.druid.query.filter.ValueMatcher;
import org.apache.druid.query.monomorphicprocessing.RuntimeShapeInspector;
import org.apache.druid.segment.BaseDoubleColumnValueSelector;
import org.apache.druid.segment.BaseFloatColumnValueSelector;
import org.apache.druid.segment.BaseLongColumnValueSelector;
import org.apache.druid.segment.BaseObjectColumnValueSelector;
import org.apache.druid.segment.ColumnProcessorFactory;
import org.apache.druid.segment.DimensionSelector;
import org.apache.druid.segment.NilColumnValueSelector;
import org.apache.druid.segment.column.ValueType;
import java.util.List;
/**
* Creates {@link ValueMatcher} that apply a predicate to each value.
*/
public class PredicateValueMatcherFactory implements ColumnProcessorFactory<ValueMatcher>
{
private final DruidPredicateFactory predicateFactory;
PredicateValueMatcherFactory(DruidPredicateFactory predicateFactory)
{
this.predicateFactory = predicateFactory;
}
@Override
public ValueType defaultType()
{
// Set default type to COMPLEX, so when the underlying type is unknown, we go into "makeComplexProcessor", which
// uses per-row type detection.
return ValueType.COMPLEX;
}
@Override
public ValueMatcher makeDimensionProcessor(DimensionSelector selector, boolean multiValue)
{
return ValueMatchers.makeStringValueMatcher(selector, predicateFactory, multiValue);
}
@Override
public ValueMatcher makeFloatProcessor(BaseFloatColumnValueSelector selector)
{
return ValueMatchers.makeFloatValueMatcher(selector, predicateFactory);
}
@Override
public ValueMatcher makeDoubleProcessor(BaseDoubleColumnValueSelector selector)
{
return ValueMatchers.makeDoubleValueMatcher(selector, predicateFactory);
}
@Override
public ValueMatcher makeLongProcessor(BaseLongColumnValueSelector selector)
{
return ValueMatchers.makeLongValueMatcher(selector, predicateFactory);
}
@Override
public ValueMatcher makeComplexProcessor(BaseObjectColumnValueSelector<?> selector)
{
if (selector instanceof NilColumnValueSelector || !mayBeFilterable(selector.classOfObject())) {
// Column does not exist, or is unfilterable. Treat it as all nulls.
return BooleanValueMatcher.of(predicateFactory.makeStringPredicate().apply(null));
} else {
// Column exists but the type of value is unknown (we might have got here because "defaultType" is COMPLEX).
// Return a ValueMatcher that inspects the object and does type-based comparison.
return new ValueMatcher()
{
private Predicate<String> stringPredicate;
private DruidLongPredicate longPredicate;
private DruidFloatPredicate floatPredicate;
private DruidDoublePredicate doublePredicate;
@Override
public boolean matches()
{
final Object rowValue = selector.getObject();
if (rowValue == null) {
return getStringPredicate().apply(null);
} else if (rowValue instanceof Integer) {
return getLongPredicate().applyLong((int) rowValue);
} else if (rowValue instanceof Long) {
return getLongPredicate().applyLong((long) rowValue);
} else if (rowValue instanceof Float) {
return getFloatPredicate().applyFloat((float) rowValue);
} else if (rowValue instanceof Number) {
// Double or some other non-int, non-long, non-float number.
return getDoublePredicate().applyDouble((double) rowValue);
} else if (rowValue instanceof String || rowValue instanceof List) {
// String or list-of-something. Cast to list of strings and evaluate them as strings.
final List<String> rowValueStrings = Rows.objectToStrings(rowValue);
if (rowValueStrings.isEmpty()) {
return getStringPredicate().apply(null);
}
for (String rowValueString : rowValueStrings) {
if (getStringPredicate().apply(NullHandling.emptyToNullIfNeeded(rowValueString))) {
return true;
}
}
return false;
} else {
// Unfilterable type. Treat as null.
return getStringPredicate().apply(null);
}
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
inspector.visit("value", predicateFactory);
}
private Predicate<String> getStringPredicate()
{
if (stringPredicate == null) {
stringPredicate = predicateFactory.makeStringPredicate();
}
return stringPredicate;
}
private DruidLongPredicate getLongPredicate()
{
if (longPredicate == null) {
longPredicate = predicateFactory.makeLongPredicate();
}
return longPredicate;
}
private DruidFloatPredicate getFloatPredicate()
{
if (floatPredicate == null) {
floatPredicate = predicateFactory.makeFloatPredicate();
}
return floatPredicate;
}
private DruidDoublePredicate getDoublePredicate()
{
if (doublePredicate == null) {
doublePredicate = predicateFactory.makeDoublePredicate();
}
return doublePredicate;
}
};
}
}
/**
* Returns whether a {@link BaseObjectColumnValueSelector} with object class {@code clazz} might be filterable, i.e.,
* whether it might return numbers or strings.
*
* @param clazz class of object
*/
private static <T> boolean mayBeFilterable(final Class<T> clazz)
{
if (Number.class.isAssignableFrom(clazz) || String.class.isAssignableFrom(clazz)) {
// clazz is a Number or String.
return true;
} else if (clazz.isAssignableFrom(Number.class) || clazz.isAssignableFrom(String.class)) {
// clazz is a superclass of Number or String.
return true;
} else {
// Instances of clazz cannot possibly be Numbers or Strings.
return false;
}
}
}

View File

@ -0,0 +1,365 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.apache.druid.segment.filter;
import com.google.common.base.Predicate;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.query.filter.DruidDoublePredicate;
import org.apache.druid.query.filter.DruidFloatPredicate;
import org.apache.druid.query.filter.DruidLongPredicate;
import org.apache.druid.query.filter.DruidPredicateFactory;
import org.apache.druid.query.filter.ValueMatcher;
import org.apache.druid.query.monomorphicprocessing.RuntimeShapeInspector;
import org.apache.druid.segment.BaseDoubleColumnValueSelector;
import org.apache.druid.segment.BaseFloatColumnValueSelector;
import org.apache.druid.segment.BaseLongColumnValueSelector;
import org.apache.druid.segment.BaseNullableColumnValueSelector;
import org.apache.druid.segment.DimensionDictionarySelector;
import org.apache.druid.segment.DimensionHandlerUtils;
import org.apache.druid.segment.DimensionSelector;
import javax.annotation.Nullable;
import java.util.Objects;
/**
* Utility methods for creating {@link ValueMatcher} instances. Mainly used by {@link ConstantValueMatcherFactory}
* and {@link PredicateValueMatcherFactory}.
*/
public class ValueMatchers
{
private ValueMatchers()
{
// No instantiation.
}
/**
* Creates a constant-based {@link ValueMatcher} for a string-typed selector.
*
* @param selector column selector
* @param value value to match
* @param hasMultipleValues whether the column selector *might* have multiple values
*/
public static ValueMatcher makeStringValueMatcher(
final DimensionSelector selector,
final String value,
final boolean hasMultipleValues
)
{
final ValueMatcher booleanMatcher = toBooleanMatcherIfPossible(
selector,
hasMultipleValues,
s -> Objects.equals(s, NullHandling.emptyToNullIfNeeded(value))
);
if (booleanMatcher != null) {
return booleanMatcher;
} else {
return selector.makeValueMatcher(value);
}
}
/**
* Creates a predicate-based {@link ValueMatcher} for a string-typed selector.
*
* @param selector column selector
* @param predicateFactory predicate to match
* @param hasMultipleValues whether the column selector *might* have multiple values
*/
public static ValueMatcher makeStringValueMatcher(
final DimensionSelector selector,
final DruidPredicateFactory predicateFactory,
final boolean hasMultipleValues
)
{
final Predicate<String> predicate = predicateFactory.makeStringPredicate();
final ValueMatcher booleanMatcher = toBooleanMatcherIfPossible(selector, hasMultipleValues, predicate);
if (booleanMatcher != null) {
return booleanMatcher;
} else {
return selector.makeValueMatcher(predicate);
}
}
/**
* Creates a constant-based {@link ValueMatcher} for a float-typed selector.
*
* @param selector column selector
* @param value value to match
*/
public static ValueMatcher makeFloatValueMatcher(
final BaseFloatColumnValueSelector selector,
final String value
)
{
final Float matchVal = DimensionHandlerUtils.convertObjectToFloat(value);
if (matchVal == null) {
return makeNumericNullValueMatcher(selector);
}
// Use "floatToIntBits" to canonicalize NaN values.
final int matchValIntBits = Float.floatToIntBits(matchVal);
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return false;
}
return Float.floatToIntBits(selector.getFloat()) == matchValIntBits;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
}
};
}
public static ValueMatcher makeLongValueMatcher(final BaseLongColumnValueSelector selector, final String value)
{
final Long matchVal = DimensionHandlerUtils.convertObjectToLong(value);
if (matchVal == null) {
return makeNumericNullValueMatcher(selector);
}
final long matchValLong = matchVal;
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return false;
}
return selector.getLong() == matchValLong;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
}
};
}
public static ValueMatcher makeLongValueMatcher(
final BaseLongColumnValueSelector selector,
final DruidPredicateFactory predicateFactory
)
{
final DruidLongPredicate predicate = predicateFactory.makeLongPredicate();
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return predicate.applyNull();
}
return predicate.applyLong(selector.getLong());
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
inspector.visit("predicate", predicate);
}
};
}
/**
* Creates a predicate-based {@link ValueMatcher} for a float-typed selector.
*
* @param selector column selector
* @param predicateFactory predicate to match
*/
public static ValueMatcher makeFloatValueMatcher(
final BaseFloatColumnValueSelector selector,
final DruidPredicateFactory predicateFactory
)
{
final DruidFloatPredicate predicate = predicateFactory.makeFloatPredicate();
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return predicate.applyNull();
}
return predicate.applyFloat(selector.getFloat());
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
inspector.visit("predicate", predicate);
}
};
}
/**
* Creates a constant-based {@link ValueMatcher} for a double-typed selector.
*
* @param selector column selector
* @param value value to match
*/
public static ValueMatcher makeDoubleValueMatcher(
final BaseDoubleColumnValueSelector selector,
final String value
)
{
final Double matchVal = DimensionHandlerUtils.convertObjectToDouble(value);
if (matchVal == null) {
return makeNumericNullValueMatcher(selector);
}
// Use "doubleToLongBits" to canonicalize NaN values.
final long matchValLongBits = Double.doubleToLongBits(matchVal);
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return false;
}
return Double.doubleToLongBits(selector.getDouble()) == matchValLongBits;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
}
};
}
/**
* Creates a predicate-based {@link ValueMatcher} for a double-typed selector.
*
* @param selector column selector
* @param predicateFactory predicate to match
*/
public static ValueMatcher makeDoubleValueMatcher(
final BaseDoubleColumnValueSelector selector,
final DruidPredicateFactory predicateFactory
)
{
final DruidDoublePredicate predicate = predicateFactory.makeDoublePredicate();
return new ValueMatcher()
{
@Override
public boolean matches()
{
if (selector.isNull()) {
return predicate.applyNull();
}
return predicate.applyDouble(selector.getDouble());
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
inspector.visit("predicate", predicate);
}
};
}
/**
* If applying {@code predicate} to {@code selector} would always return a constant, returns that constant.
* Otherwise, returns null.
*
* This method would have been private, except it's also used by
* {@link org.apache.druid.query.filter.vector.SingleValueStringVectorValueMatcher}.
*
* @param selector string selector
* @param hasMultipleValues whether the selector *might* have multiple values
* @param predicate predicate to apply
*/
@Nullable
public static Boolean toBooleanIfPossible(
final DimensionDictionarySelector selector,
final boolean hasMultipleValues,
final Predicate<String> predicate
)
{
if (selector.getValueCardinality() == 0) {
// Column has no values (it doesn't exist, or it's all empty arrays).
// Match if and only if "predicate" matches null.
return predicate.apply(null);
} else if (!hasMultipleValues && selector.getValueCardinality() == 1 && selector.nameLookupPossibleInAdvance()) {
// Every row has the same value. Match if and only if "predicate" matches the possible value.
return predicate.apply(selector.lookupName(0));
} else {
return null;
}
}
/**
* If {@link #toBooleanIfPossible} would return nonnull, this returns a {@link BooleanValueMatcher} that always
* returns that value. Otherwise, this returns null.
*
* @param selector string selector
* @param hasMultipleValues whether the selector *might* have multiple values
* @param predicate predicate to apply
*/
@Nullable
private static ValueMatcher toBooleanMatcherIfPossible(
final DimensionSelector selector,
final boolean hasMultipleValues,
final Predicate<String> predicate
)
{
final Boolean booleanValue = ValueMatchers.toBooleanIfPossible(
selector,
hasMultipleValues,
predicate
);
return booleanValue == null ? null : BooleanValueMatcher.of(booleanValue);
}
/**
* Returns a ValueMatcher that matches when the primitive numeric (long, double, or float) value from
* {@code selector} should be treated as null.
*/
private static ValueMatcher makeNumericNullValueMatcher(BaseNullableColumnValueSelector selector)
{
return new ValueMatcher()
{
@Override
public boolean matches()
{
return selector.isNull();
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
inspector.visit("selector", selector);
}
};
}
}

View File

@ -62,6 +62,7 @@ import org.apache.druid.segment.LongColumnSelector;
import org.apache.druid.segment.Metadata;
import org.apache.druid.segment.NilColumnValueSelector;
import org.apache.druid.segment.ObjectColumnSelector;
import org.apache.druid.segment.RowAdapters;
import org.apache.druid.segment.RowBasedColumnSelectorFactory;
import org.apache.druid.segment.StorageAdapter;
import org.apache.druid.segment.VirtualColumns;
@ -130,7 +131,12 @@ public abstract class IncrementalIndex<AggregatorType> extends AbstractIndex imp
final boolean deserializeComplexMetrics
)
{
final RowBasedColumnSelectorFactory baseSelectorFactory = RowBasedColumnSelectorFactory.create(in::get, null);
final RowBasedColumnSelectorFactory<InputRow> baseSelectorFactory = RowBasedColumnSelectorFactory.create(
RowAdapters.standardRow(),
in::get,
null,
true
);
class IncrementalIndexInputRowColumnSelectorFactory implements ColumnSelectorFactory
{

View File

@ -64,7 +64,7 @@ public class LookupJoinMatcher implements JoinMatcher
}
@Override
public Supplier<String> makeDimensionProcessor(DimensionSelector selector)
public Supplier<String> makeDimensionProcessor(DimensionSelector selector, boolean multiValue)
{
return () -> {
final IndexedInts row = selector.getRow();

View File

@ -298,7 +298,7 @@ public class IndexedTableJoinMatcher implements JoinMatcher
}
@Override
public Supplier<IntIterator> makeDimensionProcessor(DimensionSelector selector)
public Supplier<IntIterator> makeDimensionProcessor(DimensionSelector selector, boolean multiValue)
{
// NOTE: The slow (cardinality unknown) and fast (cardinality known) code paths below only differ in the calls to
// getRowNumbers() and getAndCacheRowNumbers(), respectively. The majority of the code path is duplicated to avoid

View File

@ -25,6 +25,7 @@ import org.apache.druid.data.input.Row;
import org.apache.druid.data.input.Rows;
import org.apache.druid.java.util.common.DateTimes;
import org.apache.druid.query.filter.ValueMatcher;
import org.apache.druid.segment.RowAdapters;
import org.apache.druid.segment.RowBasedColumnSelectorFactory;
import org.apache.druid.segment.column.ColumnHolder;
import org.joda.time.DateTime;
@ -55,8 +56,10 @@ public class Transformer
valueMatcher = transformSpec.getFilter().toFilter()
.makeMatcher(
RowBasedColumnSelectorFactory.create(
RowAdapters.standardRow(),
rowSupplierForValueMatcher::get,
null
null,
false
)
);
} else {
@ -152,7 +155,7 @@ public class Transformer
{
final RowFunction transform = transforms.get(ColumnHolder.TIME_COLUMN_NAME);
if (transform != null) {
return Rows.objectToNumber(ColumnHolder.TIME_COLUMN_NAME, transform.eval(row)).longValue();
return Rows.objectToNumber(ColumnHolder.TIME_COLUMN_NAME, transform.eval(row), true).longValue();
} else {
return row.getTimestampFromEpoch();
}
@ -196,7 +199,7 @@ public class Transformer
{
final RowFunction transform = transforms.get(metric);
if (transform != null) {
return Rows.objectToNumber(metric, transform.eval(row));
return Rows.objectToNumber(metric, transform.eval(row), true);
} else {
return row.getMetric(metric);
}

View File

@ -95,7 +95,7 @@ public class RowBasedExpressionColumnValueSelector extends ExpressionColumnValue
{
Object binding = bindings.get(x);
if (binding != null) {
if (binding instanceof String[] && ((String[]) binding).length > 1) {
if (binding instanceof String[]) {
return true;
} else if (binding instanceof Number) {
ignoredColumns.add(x);

View File

@ -5357,7 +5357,7 @@ public class GroupByQueryRunnerTest extends InitializedNullHandlingTest
{
final String field = "idx_subpostagg";
final int p = query.getResultRowPositionLookup().getInt(field);
return (Rows.objectToNumber(field, row.get(p)).floatValue() < 3800);
return (Rows.objectToNumber(field, row.get(p), true).floatValue() < 3800);
}
}
)
@ -5651,7 +5651,7 @@ public class GroupByQueryRunnerTest extends InitializedNullHandlingTest
{
final String field = "idx_subpostagg";
final int p = query.getResultRowPositionLookup().getInt(field);
return (Rows.objectToNumber(field, row.get(p)).floatValue() < 3800);
return (Rows.objectToNumber(field, row.get(p), true).floatValue() < 3800);
}
}
)

View File

@ -65,6 +65,7 @@ import org.apache.druid.segment.IndexBuilder;
import org.apache.druid.segment.IndexSpec;
import org.apache.druid.segment.QueryableIndex;
import org.apache.druid.segment.QueryableIndexStorageAdapter;
import org.apache.druid.segment.RowAdapters;
import org.apache.druid.segment.RowBasedColumnSelectorFactory;
import org.apache.druid.segment.StorageAdapter;
import org.apache.druid.segment.VirtualColumns;
@ -154,7 +155,8 @@ public abstract class BaseFilterTest extends InitializedNullHandlingTest
@Nullable String timeDim,
@Nullable Double d0,
@Nullable Float f0,
@Nullable Long l0)
@Nullable Long l0
)
{
// for row selector to work correctly as part of the test matrix, default value coercion needs to happen to columns
Map<String, Object> mapRow = Maps.newHashMapWithExpectedSize(6);
@ -638,7 +640,14 @@ public abstract class BaseFilterTest extends InitializedNullHandlingTest
// Perform test
final SettableSupplier<InputRow> rowSupplier = new SettableSupplier<>();
final ValueMatcher matcher = makeFilter(filter).makeMatcher(
VIRTUAL_COLUMNS.wrap(RowBasedColumnSelectorFactory.create(rowSupplier::get, rowSignature))
VIRTUAL_COLUMNS.wrap(
RowBasedColumnSelectorFactory.create(
RowAdapters.standardRow(),
rowSupplier::get,
rowSignature,
false
)
)
);
final List<String> values = new ArrayList<>();
for (InputRow row : rows) {

View File

@ -84,7 +84,10 @@ public class ExpressionFilterTest extends BaseFilterTest
ImmutableMap.of("dim0", "6", "dim1", 6L, "dim2", 6.0f, "dim3", "1"),
ImmutableMap.of("dim0", "7", "dim1", 7L, "dim2", 7.0f, "dim3", "a"),
ImmutableMap.of("dim0", "8", "dim1", 8L, "dim2", 8.0f, "dim3", 8L),
ImmutableMap.of("dim0", "9", "dim1", 9L, "dim2", 9.0f, "dim3", 1.234f, "dim4", 1.234f)
// Note: the "dim3 == 1.234" check in "testOneSingleValuedStringColumn" fails if dim3 is 1.234f instead of 1.234d,
// because the literal 1.234 is interpreted as a double, and 1.234f cast to double is not equivalent to 1.234d.
ImmutableMap.of("dim0", "9", "dim1", 9L, "dim2", 9.0f, "dim3", 1.234d, "dim4", 1.234d)
).stream().map(e -> PARSER.parseBatch(e).get(0)).collect(Collectors.toList());
public ExpressionFilterTest(

View File

@ -107,11 +107,10 @@ public class SelectorFilterTest extends BaseFilterTest
{
if (NullHandling.replaceWithDefault()) {
assertFilterMatches(new SelectorDimFilter("dim1", null, null), ImmutableList.of("0"));
assertFilterMatches(new SelectorDimFilter("dim1", "", null), ImmutableList.of("0"));
} else {
assertFilterMatches(new SelectorDimFilter("dim1", null, null), ImmutableList.of());
assertFilterMatches(new SelectorDimFilter("dim1", "", null), ImmutableList.of("0"));
}
assertFilterMatches(new SelectorDimFilter("dim1", "", null), ImmutableList.of("0"));
assertFilterMatches(new SelectorDimFilter("dim1", "10", null), ImmutableList.of("1"));
assertFilterMatches(new SelectorDimFilter("dim1", "2", null), ImmutableList.of("2"));
assertFilterMatches(new SelectorDimFilter("dim1", "1", null), ImmutableList.of("3"));

View File

@ -110,7 +110,7 @@ public class JoinTestHelper
}
@Override
public Supplier<Object> makeDimensionProcessor(DimensionSelector selector)
public Supplier<Object> makeDimensionProcessor(DimensionSelector selector, boolean multiValue)
{
return selector::defaultGetObject;
}

View File

@ -84,7 +84,7 @@ public class IndexedTableJoinMatcherTest
ValueType.STRING,
IndexedTableJoinMatcherTest::createSingletonIntList
);
return conditionMatcherFactory.makeDimensionProcessor(new TestDimensionSelector(KEY, valueCardinality));
return conditionMatcherFactory.makeDimensionProcessor(new TestDimensionSelector(KEY, valueCardinality), false);
}
private static class TestDimensionSelector extends ConstantDimensionSelector

View File

@ -44,6 +44,7 @@ import org.apache.druid.segment.ColumnSelectorFactory;
import org.apache.druid.segment.ColumnValueSelector;
import org.apache.druid.segment.DimensionSelector;
import org.apache.druid.segment.IdLookup;
import org.apache.druid.segment.RowAdapters;
import org.apache.druid.segment.RowBasedColumnSelectorFactory;
import org.apache.druid.segment.column.ColumnCapabilities;
import org.apache.druid.segment.column.ColumnCapabilitiesImpl;
@ -198,8 +199,10 @@ public class ExpressionVirtualColumnTest extends InitializedNullHandlingTest
private static final ThreadLocal<Row> CURRENT_ROW = new ThreadLocal<>();
private static final ColumnSelectorFactory COLUMN_SELECTOR_FACTORY = RowBasedColumnSelectorFactory.create(
RowAdapters.standardRow(),
CURRENT_ROW::get,
null
null,
false
);
@Test
@ -230,21 +233,33 @@ public class ExpressionVirtualColumnTest extends InitializedNullHandlingTest
{
DimensionSpec spec = new DefaultDimensionSpec("expr", "expr");
final BaseObjectColumnValueSelector selectorImplicit = SCALE_LIST_IMPLICIT.makeDimensionSelector(spec, COLUMN_SELECTOR_FACTORY);
final BaseObjectColumnValueSelector selectorImplicit = SCALE_LIST_IMPLICIT.makeDimensionSelector(
spec,
COLUMN_SELECTOR_FACTORY
);
CURRENT_ROW.set(ROWMULTI);
Assert.assertEquals(ImmutableList.of("2.0", "4.0", "6.0"), selectorImplicit.getObject());
CURRENT_ROW.set(ROWMULTI2);
Assert.assertEquals(ImmutableList.of("6.0", "8.0", "10.0"), selectorImplicit.getObject());
CURRENT_ROW.set(ROWMULTI3);
Assert.assertEquals(Arrays.asList("6.0", NullHandling.replaceWithDefault() ? "0.0" : null, "10.0"), selectorImplicit.getObject());
Assert.assertEquals(
Arrays.asList("6.0", NullHandling.replaceWithDefault() ? "0.0" : null, "10.0"),
selectorImplicit.getObject()
);
final BaseObjectColumnValueSelector selectorExplicit = SCALE_LIST_EXPLICIT.makeDimensionSelector(spec, COLUMN_SELECTOR_FACTORY);
final BaseObjectColumnValueSelector selectorExplicit = SCALE_LIST_EXPLICIT.makeDimensionSelector(
spec,
COLUMN_SELECTOR_FACTORY
);
CURRENT_ROW.set(ROWMULTI);
Assert.assertEquals(ImmutableList.of("2.0", "4.0", "6.0"), selectorExplicit.getObject());
CURRENT_ROW.set(ROWMULTI2);
Assert.assertEquals(ImmutableList.of("6.0", "8.0", "10.0"), selectorExplicit.getObject());
CURRENT_ROW.set(ROWMULTI3);
Assert.assertEquals(Arrays.asList("6.0", NullHandling.replaceWithDefault() ? "0.0" : null, "10.0"), selectorExplicit.getObject());
Assert.assertEquals(
Arrays.asList("6.0", NullHandling.replaceWithDefault() ? "0.0" : null, "10.0"),
selectorExplicit.getObject()
);
}
@Test
@ -725,8 +740,10 @@ public class ExpressionVirtualColumnTest extends InitializedNullHandlingTest
{
final ColumnValueSelector<ExprEval> selector = ExpressionSelectors.makeExprEvalSelector(
RowBasedColumnSelectorFactory.create(
RowAdapters.standardRow(),
CURRENT_ROW::get,
ImmutableMap.of("x", ValueType.LONG)
ImmutableMap.of("x", ValueType.LONG),
false
),
Parser.parse(SCALE_LONG.getExpression(), TestExprMacroTable.INSTANCE)
);
@ -746,8 +763,10 @@ public class ExpressionVirtualColumnTest extends InitializedNullHandlingTest
{
final ColumnValueSelector<ExprEval> selector = ExpressionSelectors.makeExprEvalSelector(
RowBasedColumnSelectorFactory.create(
RowAdapters.standardRow(),
CURRENT_ROW::get,
ImmutableMap.of("x", ValueType.DOUBLE)
ImmutableMap.of("x", ValueType.DOUBLE),
false
),
Parser.parse(SCALE_FLOAT.getExpression(), TestExprMacroTable.INSTANCE)
);
@ -767,8 +786,10 @@ public class ExpressionVirtualColumnTest extends InitializedNullHandlingTest
{
final ColumnValueSelector<ExprEval> selector = ExpressionSelectors.makeExprEvalSelector(
RowBasedColumnSelectorFactory.create(
RowAdapters.standardRow(),
CURRENT_ROW::get,
ImmutableMap.of("x", ValueType.FLOAT)
ImmutableMap.of("x", ValueType.FLOAT),
false
),
Parser.parse(SCALE_FLOAT.getExpression(), TestExprMacroTable.INSTANCE)
);