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adding binding for json to cql predicates
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/*
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* Copyright (c) 2024 nosqlbench
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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*/
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package io.nosqlbench.datamappers.functions.hdf_to_cql;
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import io.jhdf.HdfFile;
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import io.jhdf.api.Dataset;
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import io.nosqlbench.nb.api.nbio.NBIO;
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import io.nosqlbench.virtdata.api.annotations.Categories;
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import io.nosqlbench.virtdata.api.annotations.Category;
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import io.nosqlbench.virtdata.api.annotations.ThreadSafeMapper;
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import io.nosqlbench.virtdata.predicates.JsonPredicateSerDes;
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import io.nosqlbench.virtdata.predicates.ast.PConjunction;
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import io.nosqlbench.virtdata.predicates.ast.PredicateExpr;
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import io.nosqlbench.virtdata.predicates.ast.PredicateTerm;
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import io.nosqlbench.virtdata.predicates.types.PredicateAdapter;
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import io.nosqlbench.virtdata.predicates.types.PredicateSerDes;
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import java.util.function.LongFunction;
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import java.util.stream.Collectors;
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/**
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* Binding function that accepts a long input value for the cycle and returns a string consisting of the
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* CQL predicate parsed from a single record in an HDF5 dataset
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*/
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@ThreadSafeMapper
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@Categories(Category.experimental)
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public class HdfPredicatesToCql implements LongFunction<String>, PredicateAdapter {
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private final HdfFile hdfFile;
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private final Dataset dataset;
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private final int recordCount;
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private final PredicateSerDes serDes;
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/**
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* Create a new binding function that accepts a long input value for the cycle and returns a string
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* @param filename The HDF5 file to read the predicate dataset from
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* @param datasetname The name of the dataset internal to the HDRF5 file
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*/
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public HdfPredicatesToCql(String filename, String datasetname) {
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hdfFile = new HdfFile(NBIO.all().search(filename).one().asPath());
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dataset = hdfFile.getDatasetByPath(datasetname);
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recordCount = dataset.getDimensions()[0];
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//TODO: -- use spi service loader interface for serDes implementation
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serDes = new JsonPredicateSerDes();
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}
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@Override
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public String apply(long l) {
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long[] sliceOffset = {(l % recordCount)};
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int[] sliceDimensions = {1};
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return getPredicate(serDes.unserialize(((String[])dataset.getData(sliceOffset, sliceDimensions))[0]));
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}
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@Override
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public String getPredicate(PredicateExpr model) {
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return switch (model.getConjunction()) {
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case PConjunction.none -> renderTerm(model);
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case PConjunction.and -> renderTermsAnd(model);
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case PConjunction.or -> renderTermsOr(model);
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};
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}
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private String renderTerm(PredicateExpr pe) {
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PredicateTerm pt = pe.getTerms().getFirst();
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return pt.field.name + " " + pt.operator.name() + " " + pt.comparator.value;
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}
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private String renderTermsAnd(PredicateExpr pae) {
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return pae.getTerms().stream().map(this::renderTerm).collect(Collectors.joining(" and "));
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}
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private String renderTermsOr(PredicateExpr poe) {
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return poe.getTerms().stream().map(this::renderTerm).collect(Collectors.joining(" or "));
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}
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}
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