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/*
 * Copyright (c) 2016 Uber Technologies, Inc. ([email protected])
 *
 * 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.uber.hoodie.func;

import com.uber.hoodie.common.table.HoodieTableMetaClient;
import com.uber.hoodie.config.HoodieWriteConfig;
import com.uber.hoodie.WriteStatus;
import com.uber.hoodie.common.model.HoodieRecord;
import com.uber.hoodie.common.model.HoodieRecordPayload;
import com.uber.hoodie.table.HoodieTable;
import org.apache.spark.api.java.function.Function2;

import java.util.Iterator;
import java.util.List;


/**
 * Map function that handles a sorted stream of HoodieRecords
 */
public class BulkInsertMapFunction
    implements Function2>, Iterator>> {

    private String commitTime;
    private HoodieWriteConfig config;
    private HoodieTable hoodieTable;

    public BulkInsertMapFunction(String commitTime, HoodieWriteConfig config,
        HoodieTable hoodieTable) {
        this.commitTime = commitTime;
        this.config = config;
        this.hoodieTable = hoodieTable;
    }

    @Override
    public Iterator> call(Integer partition, Iterator> sortedRecordItr)
        throws Exception {
        return new LazyInsertIterable<>(sortedRecordItr, config, commitTime, hoodieTable);
    }
}




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