/**
* Copyright (C) 2014-2016 LinkedIn Corp. (pinot-core@linkedin.com)
*
* Licensed 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 com.linkedin.pinot.core.operator.transform.function;
import com.linkedin.pinot.common.data.FieldSpec;
import com.linkedin.pinot.core.common.BlockValSet;
import com.linkedin.pinot.core.operator.docvalsets.TransformBlockValSet;
import com.linkedin.pinot.core.plan.DocIdSetPlanNode;
import java.util.Arrays;
import javax.annotation.Nonnull;
/**
* This class implements the Multiplication transform function.
*/
public class MultiplicationTransform implements TransformFunction {
private static final String TRANSFORM_NAME = "mult";
private double[] _product;
/**
* {@inheritDoc}
*
* @param length Length of doc ids to process
* @param inputs Array of input values
* @return BlockValSet containing transformed values.
*/
@Override
public double[] transform(int length, @Nonnull BlockValSet... inputs) {
if (_product == null || _product.length < length) {
_product = new double[Math.max(length, DocIdSetPlanNode.MAX_DOC_PER_CALL)];
}
Arrays.fill(_product, 1);
for (BlockValSet input : inputs) {
double[] values = input.getDoubleValuesSV();
for (int j = 0; j < length; j++) {
_product[j] *= values[j];
}
}
return _product;
}
@Override
public FieldSpec.DataType getOutputType() {
return FieldSpec.DataType.DOUBLE;
}
/**
* {@inheritDoc}
*
* @return {@link #TRANSFORM_NAME}
*/
@Override
public String getName() {
return TRANSFORM_NAME;
}
}