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/*
* 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.groupby.epinephelinae.vector;
import com.google.common.base.Preconditions;
import org.apache.druid.segment.VectorColumnProcessorFactory;
import org.apache.druid.segment.column.ColumnCapabilities;
import org.apache.druid.segment.column.ValueType;
import org.apache.druid.segment.vector.MultiValueDimensionVectorSelector;
import org.apache.druid.segment.vector.SingleValueDimensionVectorSelector;
import org.apache.druid.segment.vector.VectorObjectSelector;
import org.apache.druid.segment.vector.VectorValueSelector;
public class GroupByVectorColumnProcessorFactory implements VectorColumnProcessorFactory<GroupByVectorColumnSelector>
{
private static final GroupByVectorColumnProcessorFactory INSTANCE = new GroupByVectorColumnProcessorFactory();
private GroupByVectorColumnProcessorFactory()
{
// Singleton.
}
public static GroupByVectorColumnProcessorFactory instance()
{
return INSTANCE;
}
@Override
public GroupByVectorColumnSelector makeSingleValueDimensionProcessor(
final ColumnCapabilities capabilities,
final SingleValueDimensionVectorSelector selector
)
{
Preconditions.checkArgument(
ValueType.STRING == capabilities.getType(),
"groupBy dimension processors must be STRING typed"
);
return new SingleValueStringGroupByVectorColumnSelector(selector);
}
@Override
public GroupByVectorColumnSelector makeMultiValueDimensionProcessor(
final ColumnCapabilities capabilities,
final MultiValueDimensionVectorSelector selector
)
{
Preconditions.checkArgument(
ValueType.STRING == capabilities.getType(),
"groupBy dimension processors must be STRING typed"
);
throw new UnsupportedOperationException(
"Vectorized groupBys on multi-value dictionary-encoded dimensions are not yet implemented"
);
}
@Override
public GroupByVectorColumnSelector makeFloatProcessor(
final ColumnCapabilities capabilities,
final VectorValueSelector selector
)
{
if (capabilities.hasNulls().isFalse()) {
return new FloatGroupByVectorColumnSelector(selector);
}
return new NullableFloatGroupByVectorColumnSelector(selector);
}
@Override
public GroupByVectorColumnSelector makeDoubleProcessor(
final ColumnCapabilities capabilities,
final VectorValueSelector selector
)
{
if (capabilities.hasNulls().isFalse()) {
return new DoubleGroupByVectorColumnSelector(selector);
}
return new NullableDoubleGroupByVectorColumnSelector(selector);
}
@Override
public GroupByVectorColumnSelector makeLongProcessor(
final ColumnCapabilities capabilities,
final VectorValueSelector selector
)
{
if (capabilities.hasNulls().isFalse()) {
return new LongGroupByVectorColumnSelector(selector);
}
return new NullableLongGroupByVectorColumnSelector(selector);
}
@Override
public GroupByVectorColumnSelector makeObjectProcessor(
final ColumnCapabilities capabilities,
final VectorObjectSelector selector
)
{
if (ValueType.STRING.equals(capabilities.getType())) {
throw new UnsupportedOperationException(
"Vectorized groupBys on non-dictionary encoded string columns with object selectors are not yet implemented"
);
}
return NilGroupByVectorColumnSelector.INSTANCE;
}
}