mirror of https://github.com/apache/druid.git
add multi-value string object vector matcher and expression vector object selectors (#17162) (#17165)
This commit is contained in:
parent
bd71a81183
commit
4123f2ca90
|
@ -0,0 +1,128 @@
|
|||
/*
|
||||
* 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.vector;
|
||||
|
||||
import org.apache.druid.math.expr.ExprEval;
|
||||
import org.apache.druid.math.expr.ExpressionType;
|
||||
import org.apache.druid.query.filter.DruidObjectPredicate;
|
||||
import org.apache.druid.query.filter.DruidPredicateFactory;
|
||||
import org.apache.druid.segment.column.ColumnType;
|
||||
import org.apache.druid.segment.vector.VectorObjectSelector;
|
||||
|
||||
import javax.annotation.Nullable;
|
||||
import java.util.List;
|
||||
import java.util.Objects;
|
||||
|
||||
public class MultiValueStringObjectVectorValueMatcher implements VectorValueMatcherFactory
|
||||
{
|
||||
protected final VectorObjectSelector selector;
|
||||
|
||||
public MultiValueStringObjectVectorValueMatcher(final VectorObjectSelector selector)
|
||||
{
|
||||
this.selector = selector;
|
||||
}
|
||||
|
||||
@Override
|
||||
public VectorValueMatcher makeMatcher(@Nullable String value)
|
||||
{
|
||||
return new BaseVectorValueMatcher(selector)
|
||||
{
|
||||
final VectorMatch match = VectorMatch.wrap(new int[selector.getMaxVectorSize()]);
|
||||
|
||||
@Override
|
||||
public ReadableVectorMatch match(final ReadableVectorMatch mask, boolean includeUnknown)
|
||||
{
|
||||
final Object[] vector = selector.getObjectVector();
|
||||
final int[] selection = match.getSelection();
|
||||
|
||||
int numRows = 0;
|
||||
|
||||
for (int i = 0; i < mask.getSelectionSize(); i++) {
|
||||
final int rowNum = mask.getSelection()[i];
|
||||
final Object val = vector[rowNum];
|
||||
if (val instanceof List) {
|
||||
for (Object o : (List) val) {
|
||||
if ((o == null && includeUnknown) || Objects.equals(value, o)) {
|
||||
selection[numRows++] = rowNum;
|
||||
break;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
if ((val == null && includeUnknown) || Objects.equals(value, val)) {
|
||||
selection[numRows++] = rowNum;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
match.setSelectionSize(numRows);
|
||||
return match;
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
@Override
|
||||
public VectorValueMatcher makeMatcher(Object matchValue, ColumnType matchValueType)
|
||||
{
|
||||
final ExprEval<?> eval = ExprEval.ofType(ExpressionType.fromColumnType(matchValueType), matchValue);
|
||||
final ExprEval<?> castForComparison = ExprEval.castForEqualityComparison(eval, ExpressionType.STRING);
|
||||
if (castForComparison == null || castForComparison.asString() == null) {
|
||||
return VectorValueMatcher.allFalseObjectMatcher(selector);
|
||||
}
|
||||
return makeMatcher(castForComparison.asString());
|
||||
}
|
||||
|
||||
@Override
|
||||
public VectorValueMatcher makeMatcher(DruidPredicateFactory predicateFactory)
|
||||
{
|
||||
final DruidObjectPredicate<String> predicate = predicateFactory.makeStringPredicate();
|
||||
|
||||
return new BaseVectorValueMatcher(selector)
|
||||
{
|
||||
final VectorMatch match = VectorMatch.wrap(new int[selector.getMaxVectorSize()]);
|
||||
|
||||
@Override
|
||||
public ReadableVectorMatch match(final ReadableVectorMatch mask, boolean includeUnknown)
|
||||
{
|
||||
final Object[] vector = selector.getObjectVector();
|
||||
final int[] selection = match.getSelection();
|
||||
|
||||
int numRows = 0;
|
||||
|
||||
for (int i = 0; i < mask.getSelectionSize(); i++) {
|
||||
final int rowNum = mask.getSelection()[i];
|
||||
Object val = vector[rowNum];
|
||||
if (val instanceof List) {
|
||||
for (Object o : (List) val) {
|
||||
if (predicate.apply((String) o).matches(includeUnknown)) {
|
||||
selection[numRows++] = rowNum;
|
||||
break;
|
||||
}
|
||||
}
|
||||
} else if (predicate.apply((String) val).matches(includeUnknown)) {
|
||||
selection[numRows++] = rowNum;
|
||||
}
|
||||
}
|
||||
|
||||
match.setSelectionSize(numRows);
|
||||
return match;
|
||||
}
|
||||
};
|
||||
}
|
||||
}
|
|
@ -99,6 +99,9 @@ public class VectorValueMatcherColumnProcessorFactory implements VectorColumnPro
|
|||
)
|
||||
{
|
||||
if (capabilities.is(ValueType.STRING)) {
|
||||
if (capabilities.hasMultipleValues().isTrue()) {
|
||||
return new MultiValueStringObjectVectorValueMatcher(selector);
|
||||
}
|
||||
return new StringObjectVectorValueMatcher(selector);
|
||||
}
|
||||
return new ObjectVectorValueMatcher(selector);
|
||||
|
|
|
@ -121,18 +121,18 @@ public class ExpressionFilter implements Filter
|
|||
case STRING:
|
||||
return VectorValueMatcherColumnProcessorFactory.instance().makeObjectProcessor(
|
||||
ColumnCapabilitiesImpl.createSimpleSingleValueStringColumnCapabilities(),
|
||||
ExpressionVectorSelectors.makeVectorObjectSelector(factory, theExpr)
|
||||
ExpressionVectorSelectors.makeVectorObjectSelector(factory, theExpr, null)
|
||||
).makeMatcher(predicateFactory);
|
||||
case ARRAY:
|
||||
return VectorValueMatcherColumnProcessorFactory.instance().makeObjectProcessor(
|
||||
ColumnCapabilitiesImpl.createDefault().setType(ExpressionType.toColumnType(outputType)).setHasNulls(true),
|
||||
ExpressionVectorSelectors.makeVectorObjectSelector(factory, theExpr)
|
||||
ExpressionVectorSelectors.makeVectorObjectSelector(factory, theExpr, null)
|
||||
).makeMatcher(predicateFactory);
|
||||
default:
|
||||
if (ExpressionType.NESTED_DATA.equals(outputType)) {
|
||||
return VectorValueMatcherColumnProcessorFactory.instance().makeObjectProcessor(
|
||||
ColumnCapabilitiesImpl.createDefault().setType(ExpressionType.toColumnType(outputType)).setHasNulls(true),
|
||||
ExpressionVectorSelectors.makeVectorObjectSelector(factory, theExpr)
|
||||
ExpressionVectorSelectors.makeVectorObjectSelector(factory, theExpr, null)
|
||||
).makeMatcher(predicateFactory);
|
||||
}
|
||||
throw new UOE("Vectorized expression matchers not implemented for type: [%s]", outputType);
|
||||
|
|
|
@ -76,10 +76,14 @@ public class ExpressionMultiValueDimensionSelector implements DimensionSelector
|
|||
return evaluated.asString();
|
||||
}
|
||||
|
||||
@Nullable
|
||||
List<String> getArrayAsList(ExprEval evaluated)
|
||||
{
|
||||
assert evaluated.isArray();
|
||||
//noinspection ConstantConditions
|
||||
if (evaluated.asArray() == null) {
|
||||
return null;
|
||||
}
|
||||
return Arrays.stream(evaluated.asArray())
|
||||
.map(Evals::asString)
|
||||
.collect(Collectors.toList());
|
||||
|
@ -133,6 +137,9 @@ public class ExpressionMultiValueDimensionSelector implements DimensionSelector
|
|||
ExprEval evaluated = getEvaluated();
|
||||
if (evaluated.isArray()) {
|
||||
List<String> array = getArrayAsList(evaluated);
|
||||
if (array == null) {
|
||||
return includeUnknown || value == null;
|
||||
}
|
||||
return array.stream().anyMatch(x -> (includeUnknown && x == null) || Objects.equals(x, value));
|
||||
}
|
||||
final String rowValue = getValue(evaluated);
|
||||
|
@ -159,6 +166,9 @@ public class ExpressionMultiValueDimensionSelector implements DimensionSelector
|
|||
final DruidObjectPredicate<String> predicate = predicateFactory.makeStringPredicate();
|
||||
if (evaluated.isArray()) {
|
||||
List<String> array = getArrayAsList(evaluated);
|
||||
if (array == null) {
|
||||
return predicate.apply(null).matches(includeUnknown);
|
||||
}
|
||||
return array.stream().anyMatch(x -> predicate.apply(x).matches(includeUnknown));
|
||||
}
|
||||
final String rowValue = getValue(evaluated);
|
||||
|
|
|
@ -0,0 +1,81 @@
|
|||
/*
|
||||
* 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.virtual;
|
||||
|
||||
import com.google.common.base.Preconditions;
|
||||
import org.apache.druid.math.expr.Expr;
|
||||
import org.apache.druid.math.expr.vector.ExprVectorProcessor;
|
||||
import org.apache.druid.segment.vector.ReadableVectorInspector;
|
||||
import org.apache.druid.segment.vector.VectorObjectSelector;
|
||||
import org.checkerframework.checker.nullness.qual.MonotonicNonNull;
|
||||
|
||||
import java.util.Arrays;
|
||||
|
||||
public class ExpressionVectorMultiValueStringObjectSelector implements VectorObjectSelector
|
||||
{
|
||||
private final Expr.VectorInputBinding bindings;
|
||||
private final ExprVectorProcessor<?> processor;
|
||||
|
||||
@MonotonicNonNull
|
||||
private Object[] cached;
|
||||
private int currentId = ReadableVectorInspector.NULL_ID;
|
||||
|
||||
public ExpressionVectorMultiValueStringObjectSelector(
|
||||
ExprVectorProcessor<?> processor,
|
||||
Expr.VectorInputBinding bindings
|
||||
)
|
||||
{
|
||||
this.processor = Preconditions.checkNotNull(processor, "processor");
|
||||
this.bindings = Preconditions.checkNotNull(bindings, "bindings");
|
||||
this.cached = new Object[bindings.getMaxVectorSize()];
|
||||
}
|
||||
|
||||
@Override
|
||||
public Object[] getObjectVector()
|
||||
{
|
||||
if (bindings.getCurrentVectorId() != currentId) {
|
||||
currentId = bindings.getCurrentVectorId();
|
||||
final Object[] tmp = processor.evalVector(bindings).getObjectVector();
|
||||
for (int i = 0; i < bindings.getCurrentVectorSize(); i++) {
|
||||
Object[] tmpi = (Object[]) tmp[i];
|
||||
if (tmpi == null) {
|
||||
cached[i] = null;
|
||||
} else if (tmpi.length == 1) {
|
||||
cached[i] = tmpi[0];
|
||||
} else {
|
||||
cached[i] = Arrays.asList(tmpi);
|
||||
}
|
||||
}
|
||||
}
|
||||
return cached;
|
||||
}
|
||||
|
||||
@Override
|
||||
public int getMaxVectorSize()
|
||||
{
|
||||
return bindings.getMaxVectorSize();
|
||||
}
|
||||
|
||||
@Override
|
||||
public int getCurrentVectorSize()
|
||||
{
|
||||
return bindings.getCurrentVectorSize();
|
||||
}
|
||||
}
|
|
@ -21,6 +21,7 @@ package org.apache.druid.segment.virtual;
|
|||
|
||||
import com.google.common.base.Preconditions;
|
||||
import org.apache.druid.math.expr.Expr;
|
||||
import org.apache.druid.math.expr.ExprEval;
|
||||
import org.apache.druid.math.expr.ExprType;
|
||||
import org.apache.druid.math.expr.ExpressionType;
|
||||
import org.apache.druid.math.expr.InputBindings;
|
||||
|
@ -33,6 +34,8 @@ import org.apache.druid.query.groupby.epinephelinae.vector.GroupByVectorColumnSe
|
|||
import org.apache.druid.segment.column.ColumnCapabilities;
|
||||
import org.apache.druid.segment.column.ColumnType;
|
||||
import org.apache.druid.segment.column.RowSignature;
|
||||
import org.apache.druid.segment.column.Types;
|
||||
import org.apache.druid.segment.column.ValueType;
|
||||
import org.apache.druid.segment.vector.ConstantVectorSelectors;
|
||||
import org.apache.druid.segment.vector.ReadableVectorInspector;
|
||||
import org.apache.druid.segment.vector.SingleValueDimensionVectorSelector;
|
||||
|
@ -94,21 +97,32 @@ public class ExpressionVectorSelectors
|
|||
|
||||
public static VectorObjectSelector makeVectorObjectSelector(
|
||||
VectorColumnSelectorFactory factory,
|
||||
Expr expression
|
||||
Expr expression,
|
||||
@Nullable ColumnType outputTypeHint
|
||||
)
|
||||
{
|
||||
final ExpressionPlan plan = ExpressionPlanner.plan(factory, expression);
|
||||
Preconditions.checkArgument(plan.is(ExpressionPlan.Trait.VECTORIZABLE));
|
||||
|
||||
if (plan.isConstant()) {
|
||||
final ExprEval<?> eval = plan.getExpression().eval(InputBindings.nilBindings());
|
||||
if (Types.is(outputTypeHint, ValueType.STRING) && eval.type().isArray()) {
|
||||
return ConstantVectorSelectors.vectorObjectSelector(
|
||||
factory.getReadableVectorInspector(),
|
||||
plan.getExpression().eval(InputBindings.nilBindings()).valueOrDefault()
|
||||
ExpressionSelectors.coerceEvalToObjectOrList(eval)
|
||||
);
|
||||
}
|
||||
return ConstantVectorSelectors.vectorObjectSelector(
|
||||
factory.getReadableVectorInspector(),
|
||||
eval.valueOrDefault()
|
||||
);
|
||||
}
|
||||
|
||||
final Expr.VectorInputBinding bindings = createVectorBindings(plan.getAnalysis(), factory);
|
||||
final ExprVectorProcessor<?> processor = plan.getExpression().asVectorProcessor(bindings);
|
||||
if (Types.is(outputTypeHint, ValueType.STRING) && processor.getOutputType().isArray()) {
|
||||
return new ExpressionVectorMultiValueStringObjectSelector(processor, bindings);
|
||||
}
|
||||
return new ExpressionVectorObjectSelector(processor, bindings);
|
||||
}
|
||||
|
||||
|
|
|
@ -238,7 +238,7 @@ public class ExpressionVirtualColumn implements VirtualColumn
|
|||
return factory.makeObjectSelector(parsedExpression.get().getBindingIfIdentifier());
|
||||
}
|
||||
|
||||
return ExpressionVectorSelectors.makeVectorObjectSelector(factory, parsedExpression.get());
|
||||
return ExpressionVectorSelectors.makeVectorObjectSelector(factory, parsedExpression.get(), expression.outputType);
|
||||
}
|
||||
|
||||
@Nullable
|
||||
|
|
|
@ -163,7 +163,11 @@ public abstract class BaseFilterTest extends InitializedNullHandlingTest
|
|||
new NestedFieldVirtualColumn("nested", "$.l0", "nested.l0", ColumnType.LONG),
|
||||
new NestedFieldVirtualColumn("nested", "$.arrayLong", "nested.arrayLong", ColumnType.LONG_ARRAY),
|
||||
new NestedFieldVirtualColumn("nested", "$.arrayDouble", "nested.arrayDouble", ColumnType.DOUBLE_ARRAY),
|
||||
new NestedFieldVirtualColumn("nested", "$.arrayString", "nested.arrayString", ColumnType.STRING_ARRAY)
|
||||
new NestedFieldVirtualColumn("nested", "$.arrayString", "nested.arrayString", ColumnType.STRING_ARRAY),
|
||||
new ExpressionVirtualColumn("arrayLongAsMvd", "array_to_mv(arrayLong)", ColumnType.STRING, TestExprMacroTable.INSTANCE),
|
||||
new ExpressionVirtualColumn("arrayDoubleAsMvd", "array_to_mv(arrayDouble)", ColumnType.STRING, TestExprMacroTable.INSTANCE),
|
||||
new ExpressionVirtualColumn("arrayStringAsMvd", "array_to_mv(arrayString)", ColumnType.STRING, TestExprMacroTable.INSTANCE),
|
||||
new ExpressionVirtualColumn("arrayConstantAsMvd", "array_to_mv(array(1,2,3))", ColumnType.STRING, TestExprMacroTable.INSTANCE)
|
||||
)
|
||||
);
|
||||
|
||||
|
|
|
@ -1629,6 +1629,100 @@ public class EqualityFilterTests
|
|||
: ImmutableList.of("0", "1", "2", "3", "4", "5")
|
||||
);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testArraysAsMvds()
|
||||
{
|
||||
Assume.assumeTrue(canTestArrayColumns());
|
||||
/*
|
||||
dim0 .. arrayString arrayLong arrayDouble
|
||||
"0", .. ["a", "b", "c"], [1L, 2L, 3L], [1.1, 2.2, 3.3]
|
||||
"1", .. [], [], [1.1, 2.2, 3.3]
|
||||
"2", .. null, [1L, 2L, 3L], [null]
|
||||
"3", .. ["a", "b", "c"], null, []
|
||||
"4", .. ["c", "d"], [null], [-1.1, -333.3]
|
||||
"5", .. [null], [123L, 345L], null
|
||||
*/
|
||||
|
||||
assertFilterMatches(
|
||||
new EqualityFilter(
|
||||
"arrayStringAsMvd",
|
||||
ColumnType.STRING,
|
||||
"b",
|
||||
null
|
||||
),
|
||||
ImmutableList.of("0", "3")
|
||||
);
|
||||
assertFilterMatches(
|
||||
NotDimFilter.of(
|
||||
new EqualityFilter(
|
||||
"arrayStringAsMvd",
|
||||
ColumnType.STRING,
|
||||
"b",
|
||||
null
|
||||
)
|
||||
),
|
||||
NullHandling.sqlCompatible()
|
||||
? ImmutableList.of("1", "4")
|
||||
: ImmutableList.of("1", "2", "4", "5")
|
||||
);
|
||||
|
||||
assertFilterMatches(
|
||||
new EqualityFilter(
|
||||
"arrayLongAsMvd",
|
||||
ColumnType.STRING,
|
||||
"2",
|
||||
null
|
||||
),
|
||||
ImmutableList.of("0", "2")
|
||||
);
|
||||
assertFilterMatches(
|
||||
NotDimFilter.of(
|
||||
new EqualityFilter(
|
||||
"arrayLongAsMvd",
|
||||
ColumnType.STRING,
|
||||
"2",
|
||||
null
|
||||
)
|
||||
),
|
||||
NullHandling.sqlCompatible()
|
||||
? ImmutableList.of("1", "5")
|
||||
: ImmutableList.of("1", "3", "4", "5")
|
||||
);
|
||||
|
||||
assertFilterMatches(
|
||||
new EqualityFilter(
|
||||
"arrayDoubleAsMvd",
|
||||
ColumnType.STRING,
|
||||
"3.3",
|
||||
null
|
||||
),
|
||||
ImmutableList.of("0", "1")
|
||||
);
|
||||
assertFilterMatches(
|
||||
NotDimFilter.of(
|
||||
new EqualityFilter(
|
||||
"arrayDoubleAsMvd",
|
||||
ColumnType.STRING,
|
||||
"3.3",
|
||||
null
|
||||
)
|
||||
),
|
||||
NullHandling.sqlCompatible()
|
||||
? ImmutableList.of("3", "4")
|
||||
: ImmutableList.of("2", "3", "4", "5")
|
||||
);
|
||||
|
||||
assertFilterMatches(
|
||||
new EqualityFilter(
|
||||
"arrayConstantAsMvd",
|
||||
ColumnType.STRING,
|
||||
"3",
|
||||
null
|
||||
),
|
||||
ImmutableList.of("0", "1", "2", "3", "4", "5")
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
public static class EqualityFilterNonParameterizedTests extends InitializedNullHandlingTest
|
||||
|
|
Loading…
Reference in New Issue