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Base interfaces and data structures for defining a deduplication workflow.

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/*
 * MIT License
 *
 * Copyright (c) 2019 bakdata GmbH
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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package com.bakdata.dedupe.deduplication;

import com.bakdata.util.StreamUtil;
import java.util.Collection;
import java.util.function.Function;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import lombok.NonNull;


/**
 * A full deduplication process, which ensures that no duplicate record is emitted.
 * 

In general, all implementations will ensure that the user receives a duplicate-free datasets, either through * repeated updates or by providing a duplicate-free dataset.

*

The actual implementation may use any means necessary to find duplicates, to ensure proper transitivity ((A,B) is * duplicate and (B,C) is duplicate implies that (A,C) is duplicate), and to give a resulting representation.

* * @param the type of the record */ @FunctionalInterface public interface Deduplication { /** * Deduplicates the dataset. *

Note that for online algorithms, duplicates will be repeatedly emitted with updated * representation, since it is impossible to suppress earlier emission without blocking execution. The user needs to * invalidate earlier results through external means (for example, putting them in a key-value store with the key * being the id of the duplicate).

* * @param records the record that should be freed from duplicates. * @return a duplicate-free dataset with the above mentioned limitation for online algorithms. */ @NonNull Stream deduplicate(@NonNull Stream records); /** * Deduplicates the dataset. *

For online algorithms this method can only be applied on a finite stream and could be used to verify results * in a test or compare performance to an offline algorithm.

*

For online algorithms, this method may emit duplicates repeatedly with the same id, since an online algorithm * usually eagerly emits results. To ensure a real duplicate-free dataset, use {@link * #materializedDeduplicate(Iterable, Function)}.

* * @param records the record that should be freed from duplicates. * @return a duplicate-free dataset with the above mentioned limitation for online algorithms. * @implSpec For online algorithms, it is strongly encouraged that duplicates are filtered such that only the final * representation remains. */ default @NonNull Collection materializedDeduplicate(final @NonNull Iterable records) { return this.deduplicate(StreamUtil.stream(records)).collect(Collectors.toList()); } /** * Selects the candidates for the given records and materializes them. The additional idExtractor ensures that * previously found duplicates are removed from the output. *

For online algorithms this method can only be applied on a finite stream and could be used to verify results * in a test or compare performance to an offline algorithm.

* * @param records the record that should be freed from duplicates. * @return a duplicate-free dataset. * @implSpec For online algorithms, it is strongly encouraged that duplicates are filtered such that only the final * representation remains. */ default @NonNull Collection materializedDeduplicate(final @NonNull Iterable records, final @NonNull Function idExtractor) { return this.deduplicate(StreamUtil.stream(records)) .collect(Collectors.toMap(idExtractor, Function.identity())) .values(); } }




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