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/*
* Copyright (c) 2022 nosqlbench
*
* 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 io.nosqlbench.virtdata.library.realer;
import io.nosqlbench.virtdata.api.annotations.Categories;
import io.nosqlbench.virtdata.api.annotations.Category;
import io.nosqlbench.virtdata.api.annotations.Example;
import io.nosqlbench.virtdata.api.annotations.ThreadSafeMapper;
import io.nosqlbench.virtdata.library.basics.shared.distributions.WeightedStringsFromCSV;
import java.util.function.LongFunction;
/**
* Return a pseudo-randomly sampled last name from the last US census data on last names
* occurring more than 100 times.
*/
@ThreadSafeMapper
@Categories({Category.premade})
public class LastNames extends WeightedStringsFromCSV implements LongFunction {
@Example({"LastNames()","select a random last name based on the chance of seeing it in the census data"})
public LastNames() {
super("Name", "prop100k", "data/surnames");
}
@Example({"LastNames('map')","select over the last names by probability as input varies from 1L to Long.MAX_VALUE"})
public LastNames(String modifier) {
super("Name", modifier, "prop100k", "data/surnames");
}
}