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/*
 * Copyright (c) 2019 MarkLogic Corporation

 *
 * 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.marklogic.mapreduce;

import java.io.IOException;

import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.TaskAttemptContext;

/**
 * 

MarkLogicInputFormat for user specified key and value types.

* *

* Your job may gather input data from a MarkLogic database * and produce key-value pairs with type such as {@link org.apache.hadoop.io.Text} * and {@link org.apache.hadoop.io.IntWritable} through implicit conversions * performed by the connector. For details on the supported conversions, see * "Using KeyValueInputFormat and ValueInputFormat" in the * Hadoop MapReduce Connector Developer's Guide. *

* * @see com.marklogic.mapreduce.examples.LinkCount * @author jchen * * @param * @param */ public class KeyValueInputFormat extends MarkLogicInputFormat implements MarkLogicConstants { @Override public RecordReader createRecordReader(InputSplit split, TaskAttemptContext context) throws IOException, InterruptedException { return new KeyValueReader(context.getConfiguration()); } }




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