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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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 * SOFTWARE.
 */
package com.bakdata.dedupe.deduplication.offline;

/**
 * A full offline deduplication process, which ensures that no duplicate record is in the results.
 * 

Consider a dataset of records A, B, A' and A, A' being duplicates. The resulting dataset will be B, A", where A" * is a suitable representation of A and A'.

*

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.

* * @implSpec For offline algorithms, the general assumption is that they work stateless. Derivations need to be * documented. */ @FunctionalInterface public interface OfflineDeduplication extends com.bakdata.dedupe.deduplication.Deduplication { }




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